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Strict Module BRL.Basic ModuleInfo "Version: 1.02" ModuleInfo "Author: Mark Sibly" ModuleInfo "License: zlib/libpng" ModuleInfo "Copyright: Blitz Research Ltd" ModuleInfo "Modserver: BRL" ModuleInfo "History: 1.02 Release" ModuleInfo "History: Added BRL.Socket" Import BRL.Math Import BRL.Bank Import BRL.Random Import BRL.Socket Import BRL.Stream Import BRL.RamStream Import BRL.BankStream Import BRL.EndianStream Import BRL.SocketStream Import BRL.HTTPStream Import BRL.StandardIO Import BRL.LinkedList Import BRL.FileSystem
BlitzMax
2
jabdoa2/blitzmax
mod/brl.mod/basic.mod/basic.bmx
[ "Zlib" ]
package com.taobao.arthas.core.command.model; /** * @author gongdewei 2020/5/11 */ public class PwdModel extends ResultModel { private String workingDir; public PwdModel() { } public PwdModel(String workingDir) { this.workingDir = workingDir; } @Override public String getType() { return "pwd"; } public String getWorkingDir() { return workingDir; } public void setWorkingDir(String workingDir) { this.workingDir = workingDir; } }
Java
4
weihubeats/arthas
core/src/main/java/com/taobao/arthas/core/command/model/PwdModel.java
[ "Apache-2.0" ]
[ define_tag:'lp_logical_in', -description='Evaluates if a value is contained within a list of elements. Returns true or false.', -priority='replace', -required='value', -copy, -required='list', -optional='list_delimiter'; local:'trim' = true; if: params->(find:'-notrim') > 0; local:'trim' = false; else: #value->type == 'string'; #value->trim; /if; if: #list->type == 'array'; local:'listarray' = #list; else; if: local_defined:'list_delimiter'; local:'listarray' = (string:#list)->(split:#list_delimiter); else; // assume comma-delimited local:'listarray' = (string:#list)->(split:','); /if; /if; iterate: #listarray, local:'item'; if: #trim && #item->type == 'string'; #item->trim; /if; if: #item == #value; return: true; /if; /iterate; return: false; /* (lp_logical_in:'abc',(:'abc','def')); (lp_logical_in:'abc','abc,def,ghi'); (lp_logical_in:'gh','abc,def,ghi'); */ /define_tag; ]
Lasso
4
fourplusone/SubEthaEdit
Documentation/ModeDevelopment/Reference Files/LassoScript-HTML/itpage/LassoStartup/lp_logical_in.lasso
[ "MIT" ]
// Copyright 2021 The gRPC Authors // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. // Local copy of Envoy xDS proto file, used for testing only. syntax = "proto3"; package envoy.extensions.filters.http.router.v3; // [#protodoc-title: Router] // Router :ref:`configuration overview <config_http_filters_router>`. // [#extension: envoy.filters.http.router] // We don't actually use any of the fields in this message, but we need // the message itself to signify which filter to use. message Router { }
Protocol Buffer
3
warlock135/grpc
src/proto/grpc/testing/xds/v3/router.proto
[ "Apache-2.0" ]
= Caveats for implementing Signal.trap callbacks As with implementing signal handlers in C or most other languages, all code passed to Signal.trap must be reentrant. If you are not familiar with reentrancy, you need to read up on it at {Wikipedia}[https://en.wikipedia.org/wiki/Reentrancy_(computing)] or elsewhere before reading the rest of this document. Most importantly, "thread-safety" does not guarantee reentrancy; and methods such as Mutex#lock and Mutex#synchronize which are commonly used for thread-safety even prevent reentrancy. == An implementation detail of the Ruby VM The Ruby VM defers Signal.trap callbacks from running until it is safe for its internal data structures, but it does not know when it is safe for data structures in YOUR code. Ruby implements deferred signal handling by registering short C functions with only {async-signal-safe functions}[http://man7.org/linux/man-pages/man7/signal-safety.7.html] as signal handlers. These short C functions only do enough tell the VM to run callbacks registered via Signal.trap later in the main VM loop. == Unsafe methods to call in Signal.trap blocks When in doubt, consider anything not listed as safe below as being unsafe. * Mutex#lock, Mutex#synchronize and any code using them are explicitly unsafe. This includes Monitor in the standard library which uses Mutex to provide reentrancy. * Dir.chdir with block * any IO write operations when IO#sync is false; including IO#write, IO#write_nonblock, IO#puts. Pipes and sockets default to `IO#sync = true', so it is safe to write to them unless IO#sync was disabled. * File#flock, as the underlying flock(2) call is not specified by POSIX == Commonly safe operations inside Signal.trap blocks * Assignment and retrieval of local, instance, and class variables * Most object allocations and initializations of common types including Array, Hash, String, Struct, Time. * Common Array, Hash, String, Struct operations which do not execute a block are generally safe; but beware if iteration is occurring elsewhere. * Hash#[], Hash#[]= (unless Hash.new was given an unsafe block) * Thread::Queue#push and Thread::SizedQueue#push (since Ruby 2.1) * Creating a new Thread via Thread.new/Thread.start can used to get around the unusability of Mutexes inside a signal handler * Signal.trap is safe to use inside blocks passed to Signal.trap * arithmetic on Integer and Float (`+', `-', '%', '*', '/') Additionally, signal handlers do not run between two successive local variable accesses, so shortcuts such as `+=' and `-=' will not trigger a data race when used on Integer and Float classes in signal handlers. == System call wrapper methods which are safe inside Signal.trap Since Ruby has wrappers around many {async-signal-safe C functions}[http://man7.org/linux/man-pages/man7/signal-safety.7.html] the corresponding wrappers for many IO, File, Dir, and Socket methods are safe. (Incomplete list) * Dir.chdir (without block arg) * Dir.mkdir * Dir.open * File#truncate * File.link * File.open * File.readlink * File.rename * File.stat * File.symlink * File.truncate * File.unlink * File.utime * IO#close * IO#dup * IO#fsync * IO#read * IO#read_nonblock * IO#stat * IO#sysread * IO#syswrite * IO.select * IO.pipe * Process.clock_gettime * Process.exit! * Process.fork * Process.kill * Process.pid * Process.ppid * Process.waitpid ...
RDoc
5
silathdiir/artichoke
artichoke-backend/vendor/ruby/doc/signals.rdoc
[ "MIT" ]
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SVG
1
mobiledesres/material-icons
svg/action/cancel_schedule_send/materialiconstwotone/20px.svg
[ "Apache-2.0" ]
complete -c my-app -n "__fish_use_subcommand" -s h -l help -d 'Print help information' complete -c my-app -n "__fish_use_subcommand" -s V -l version -d 'Print version information' complete -c my-app -n "__fish_use_subcommand" -l single-quotes -d 'Can be /'always/', /'auto/', or /'never/'' complete -c my-app -n "__fish_use_subcommand" -l double-quotes -d 'Can be "always", "auto", or "never"' complete -c my-app -n "__fish_use_subcommand" -l backticks -d 'For more information see `echo test`' complete -c my-app -n "__fish_use_subcommand" -l backslash -d 'Avoid /'//n/'' complete -c my-app -n "__fish_use_subcommand" -l brackets -d 'List packages [filter]' complete -c my-app -n "__fish_use_subcommand" -l expansions -d 'Execute the shell command with $SHELL' complete -c my-app -n "__fish_use_subcommand" -f -a "cmd-single-quotes" -d 'Can be /'always/', /'auto/', or /'never/'' complete -c my-app -n "__fish_use_subcommand" -f -a "cmd-double-quotes" -d 'Can be "always", "auto", or "never"' complete -c my-app -n "__fish_use_subcommand" -f -a "cmd-backticks" -d 'For more information see `echo test`' complete -c my-app -n "__fish_use_subcommand" -f -a "cmd-backslash" -d 'Avoid /'//n/'' complete -c my-app -n "__fish_use_subcommand" -f -a "cmd-brackets" -d 'List packages [filter]' complete -c my-app -n "__fish_use_subcommand" -f -a "cmd-expansions" -d 'Execute the shell command with $SHELL' complete -c my-app -n "__fish_use_subcommand" -f -a "help" -d 'Print this message or the help of the given subcommand(s)' complete -c my-app -n "__fish_seen_subcommand_from cmd-single-quotes" -s h -l help -d 'Print help information' complete -c my-app -n "__fish_seen_subcommand_from cmd-double-quotes" -s h -l help -d 'Print help information' complete -c my-app -n "__fish_seen_subcommand_from cmd-backticks" -s h -l help -d 'Print help information' complete -c my-app -n "__fish_seen_subcommand_from cmd-backslash" -s h -l help -d 'Print help information' complete -c my-app -n "__fish_seen_subcommand_from cmd-brackets" -s h -l help -d 'Print help information' complete -c my-app -n "__fish_seen_subcommand_from cmd-expansions" -s h -l help -d 'Print help information'
fish
4
omjadas/clap
clap_complete/tests/snapshots/quoting.fish
[ "Apache-2.0", "MIT" ]
<?xml version="1.0"?> <xsl:transform xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:template match="*"> <html> <body> <script>if (window.testRunner) testRunner.dumpAsText();</script> <p>SUCCESS</p> </body> </html> </xsl:template> </xsl:transform>
XSLT
3
zealoussnow/chromium
third_party/blink/web_tests/fast/xsl/resources/import-after-comment-transform.xsl
[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]
// Copyright 2018 The Go Authors. All rights reserved. // Use of this source code is governed by a BSD-style // license that can be found in the LICENSE file. #include "go_asm.h" #include "textflag.h" TEXT ·IndexByte(SB), NOSPLIT, $0-40 I64Load b_base+0(FP) I32WrapI64 I32Load8U c+24(FP) I64Load b_len+8(FP) I32WrapI64 Call memchr<>(SB) I64ExtendI32S Set R0 Get SP I64Const $-1 Get R0 I64Load b_base+0(FP) I64Sub Get R0 I64Eqz $0 Select I64Store ret+32(FP) RET TEXT ·IndexByteString(SB), NOSPLIT, $0-32 Get SP I64Load s_base+0(FP) I32WrapI64 I32Load8U c+16(FP) I64Load s_len+8(FP) I32WrapI64 Call memchr<>(SB) I64ExtendI32S Set R0 I64Const $-1 Get R0 I64Load s_base+0(FP) I64Sub Get R0 I64Eqz $0 Select I64Store ret+24(FP) RET // initially compiled with emscripten and then modified over time. // params: // R0: s // R1: c // R2: len // ret: index TEXT memchr<>(SB), NOSPLIT, $0 Get R1 Set R4 Block Block Get R2 I32Const $0 I32Ne Tee R3 Get R0 I32Const $3 I32And I32Const $0 I32Ne I32And If Loop Get R0 I32Load8U $0 Get R1 I32Eq BrIf $2 Get R2 I32Const $-1 I32Add Tee R2 I32Const $0 I32Ne Tee R3 Get R0 I32Const $1 I32Add Tee R0 I32Const $3 I32And I32Const $0 I32Ne I32And BrIf $0 End End Get R3 BrIf $0 I32Const $0 Set R1 Br $1 End Get R0 I32Load8U $0 Get R4 Tee R3 I32Eq If Get R2 Set R1 Else Get R4 I32Const $16843009 I32Mul Set R4 Block Block Get R2 I32Const $3 I32GtU If Get R2 Set R1 Loop Get R0 I32Load $0 Get R4 I32Xor Tee R2 I32Const $-2139062144 I32And I32Const $-2139062144 I32Xor Get R2 I32Const $-16843009 I32Add I32And I32Eqz If Get R0 I32Const $4 I32Add Set R0 Get R1 I32Const $-4 I32Add Tee R1 I32Const $3 I32GtU BrIf $1 Br $3 End End Else Get R2 Set R1 Br $1 End Br $1 End Get R1 I32Eqz If I32Const $0 Set R1 Br $3 End End Loop Get R0 I32Load8U $0 Get R3 I32Eq BrIf $2 Get R0 I32Const $1 I32Add Set R0 Get R1 I32Const $-1 I32Add Tee R1 BrIf $0 I32Const $0 Set R1 End End End Get R0 I32Const $0 Get R1 Select Return
GAS
3
SSSDNSY/go
src/internal/bytealg/indexbyte_wasm.s
[ "BSD-3-Clause" ]
// format: OFF package mesosphere.marathon.raml case class {{ name }}({{ params | join:", " }}) extends RamlGenerated object {{ name }} { implicit val playJsonFormat = play.api.libs.json.Json.format[{{ name }}] }
Liquid
4
fquesnel/marathon
type-generator/src/main/resources/templates/object.liquid
[ "Apache-2.0" ]
// // Copyright (c) 2018, chunquedong // Licensed under the Academic Free License version 3.0 // // History: // 2018-07-14 Jed Young // class NioBuf : Buf { new fromFile(File file, Str mode, Int pos, Int? size) : super.privateMake() { init(file, mode, pos, size) } new makeMem(Int size) : super.privateMake() { alloc(size) } protected new make() {} protected native Void init(File file, Str mode, Int pos, Int? size) protected native Void alloc(Int size) native override Int size native override Int capacity native override Int pos native override Int getByte(Int index) native override Void setByte(Int index, Int byte) native override Int getBytes(Int pos, Array<Int8> dst, Int off, Int len) native override Void setBytes(Int pos, Array<Int8> src, Int off, Int len) native override Bool close() native override This sync() override Endian endian { set { in.endian = it; out.endian = it } get { out.endian } } override Charset charset { set { in.charset = it; out.charset = it } get { out.charset } } }
Fantom
4
fanx-dev/fanx
library/std/fan/io/NioBuf.fan
[ "AFL-3.0" ]
<div> {syntax latte} {$foo} {{$notFoo}} {/syntax} </div>
Latte
2
Antholoj/netbeans
php/php.latte/test/unit/data/testfiles/lexer/top/syntax-latte.latte
[ "Apache-2.0" ]
// run-fail // error-pattern: thread 'main' panicked at 'explicit panic' // ignore-emscripten no processes fn main() { let mut vec = vec![]; vec.push((vec.len(), panic!())); }
Rust
2
Eric-Arellano/rust
src/test/ui/issues/issue-51345-2.rs
[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]
# This file is distributed under the same license as the Django package. # # Translators: # GunChleoc, 2015 # GunChleoc, 2015 msgid "" msgstr "" "Project-Id-Version: django\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2019-01-16 20:42+0100\n" "PO-Revision-Date: 2018-05-29 09:32+0000\n" "Last-Translator: GunChleoc\n" "Language-Team: Gaelic, Scottish (http://www.transifex.com/django/django/" "language/gd/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" "Content-Transfer-Encoding: 8bit\n" "Language: gd\n" "Plural-Forms: nplurals=4; plural=(n==1 || n==11) ? 0 : (n==2 || n==12) ? 1 : " "(n > 2 && n < 20) ? 2 : 3;\n" msgid "Humanize" msgstr "Humanize" #. Translators: Ordinal format for 11 (11th), 12 (12th), and 13 (13th). msgctxt "ordinal 11, 12, 13" msgid "{}th" msgstr "{}mh" #. Translators: Ordinal format when value ends with 0, e.g. 80th. msgctxt "ordinal 0" msgid "{}th" msgstr "{}mh" #. Translators: Ordinal format when value ends with 1, e.g. 81st, except 11. msgctxt "ordinal 1" msgid "{}st" msgstr "{}d" #. Translators: Ordinal format when value ends with 2, e.g. 82nd, except 12. msgctxt "ordinal 2" msgid "{}nd" msgstr "{}na" #. Translators: Ordinal format when value ends with 3, e.g. 83th, except 13. msgctxt "ordinal 3" msgid "{}rd" msgstr "{}s" #. Translators: Ordinal format when value ends with 4, e.g. 84th. msgctxt "ordinal 4" msgid "{}th" msgstr "{}mh" #. Translators: Ordinal format when value ends with 5, e.g. 85th. msgctxt "ordinal 5" msgid "{}th" msgstr "{}mh" #. Translators: Ordinal format when value ends with 6, e.g. 86th. msgctxt "ordinal 6" msgid "{}th" msgstr "{}mh" #. Translators: Ordinal format when value ends with 7, e.g. 87th. msgctxt "ordinal 7" msgid "{}th" msgstr "{}mh" #. Translators: Ordinal format when value ends with 8, e.g. 88th. msgctxt "ordinal 8" msgid "{}th" msgstr "{}mh" #. Translators: Ordinal format when value ends with 9, e.g. 89th. msgctxt "ordinal 9" msgid "{}th" msgstr "{}mh" #, python-format msgid "%(value).1f million" msgid_plural "%(value).1f million" msgstr[0] "%(value).1f mhillean" msgstr[1] "%(value).1f mhillean" msgstr[2] "%(value).1f milleanan" msgstr[3] "%(value).1f millean" #, python-format msgid "%(value)s million" msgid_plural "%(value)s million" msgstr[0] "%(value)s mhillean" msgstr[1] "%(value)s mhillean" msgstr[2] "%(value)s milleanan" msgstr[3] "%(value)s millean" #, python-format msgid "%(value).1f billion" msgid_plural "%(value).1f billion" msgstr[0] "%(value).1f bhillean" msgstr[1] "%(value).1f bhillean" msgstr[2] "%(value).1f billeanan" msgstr[3] "%(value).1f billean" #, python-format msgid "%(value)s billion" msgid_plural "%(value)s billion" msgstr[0] "%(value)s bhillean" msgstr[1] "%(value)s bhillean" msgstr[2] "%(value)s billeanan" msgstr[3] "%(value)s billean" #, python-format msgid "%(value).1f trillion" msgid_plural "%(value).1f trillion" msgstr[0] "%(value).1f trillean" msgstr[1] "%(value).1f thrillean" msgstr[2] "%(value).1f trilleanan" msgstr[3] "%(value).1f trillean" #, python-format msgid "%(value)s trillion" msgid_plural "%(value)s trillion" msgstr[0] "%(value)s trillean" msgstr[1] "%(value)s thrillean" msgstr[2] "%(value)s trilleanan" msgstr[3] "%(value)s trillean" #, python-format msgid "%(value).1f quadrillion" msgid_plural "%(value).1f quadrillion" msgstr[0] "%(value).1f quadrillean" msgstr[1] "%(value).1f quadrillean" msgstr[2] "%(value).1f quadrilleanan" msgstr[3] "%(value).1f quadrillean" #, python-format msgid "%(value)s quadrillion" msgid_plural "%(value)s quadrillion" msgstr[0] "%(value)s quadrillean" msgstr[1] "%(value)s quadrillean" msgstr[2] "%(value)s quadrilleanan" msgstr[3] "%(value)s quadrillean" #, python-format msgid "%(value).1f quintillion" msgid_plural "%(value).1f quintillion" msgstr[0] "%(value).1f quintillean" msgstr[1] "%(value).1f quintillean" msgstr[2] "%(value).1f quintilleanan" msgstr[3] "%(value).1f quintillean" #, python-format msgid "%(value)s quintillion" msgid_plural "%(value)s quintillion" msgstr[0] "%(value)s quintillean" msgstr[1] "%(value)s quintillean" msgstr[2] "%(value)s quintilleanan" msgstr[3] "%(value)s quintillean" #, python-format msgid "%(value).1f sextillion" msgid_plural "%(value).1f sextillion" msgstr[0] "%(value).1f sextillean" msgstr[1] "%(value).1f shextillean" msgstr[2] "%(value).1f sextilleanan" msgstr[3] "%(value).1f sextillean" #, python-format msgid "%(value)s sextillion" msgid_plural "%(value)s sextillion" msgstr[0] "%(value)s sextillean" msgstr[1] "%(value)s shextillean" msgstr[2] "%(value)s sextilleanan" msgstr[3] "%(value)s sextillean" #, python-format msgid "%(value).1f septillion" msgid_plural "%(value).1f septillion" msgstr[0] "%(value).1f septillean" msgstr[1] "%(value).1f sheptillean" msgstr[2] "%(value).1f septilleanan" msgstr[3] "%(value).1f septillean" #, python-format msgid "%(value)s septillion" msgid_plural "%(value)s septillion" msgstr[0] "%(value)s septillean" msgstr[1] "%(value)s sheptillean" msgstr[2] "%(value)s septilleanan" msgstr[3] "%(value)s septillean" #, python-format msgid "%(value).1f octillion" msgid_plural "%(value).1f octillion" msgstr[0] "%(value).1f octillean" msgstr[1] "%(value).1f octillean" msgstr[2] "%(value).1f octilleanan" msgstr[3] "%(value).1f octillean" #, python-format msgid "%(value)s octillion" msgid_plural "%(value)s octillion" msgstr[0] "%(value)s octillean" msgstr[1] "%(value)s octillean" msgstr[2] "%(value)s octilleanan" msgstr[3] "%(value)s octillean" #, python-format msgid "%(value).1f nonillion" msgid_plural "%(value).1f nonillion" msgstr[0] "%(value).1f nonillean" msgstr[1] "%(value).1f nonillean" msgstr[2] "%(value).1f nonilleanan" msgstr[3] "%(value).1f nonillean" #, python-format msgid "%(value)s nonillion" msgid_plural "%(value)s nonillion" msgstr[0] "%(value)s nonillean" msgstr[1] "%(value)s nonillean" msgstr[2] "%(value)s nonilleanan" msgstr[3] "%(value)s nonillean" #, python-format msgid "%(value).1f decillion" msgid_plural "%(value).1f decillion" msgstr[0] "%(value).1f decillean" msgstr[1] "%(value).1f dhecillean" msgstr[2] "%(value).1f decilleanan" msgstr[3] "%(value).1f decillean" #, python-format msgid "%(value)s decillion" msgid_plural "%(value)s decillion" msgstr[0] "%(value)s decillean" msgstr[1] "%(value)s dhecillean" msgstr[2] "%(value)s decilleanan" msgstr[3] "%(value)s decillean" #, python-format msgid "%(value).1f googol" msgid_plural "%(value).1f googol" msgstr[0] "%(value).1f ghoogol" msgstr[1] "%(value).1f ghoogol" msgstr[2] "%(value).1f googolan" msgstr[3] "%(value).1f googol" #, python-format msgid "%(value)s googol" msgid_plural "%(value)s googol" msgstr[0] "%(value)s ghoogol" msgstr[1] "%(value)s ghoogol" msgstr[2] "%(value)s googolan" msgstr[3] "%(value)s googol" msgid "one" msgstr "aon" msgid "two" msgstr "dà" msgid "three" msgstr "trì" msgid "four" msgstr "ceithir" msgid "five" msgstr "còig" msgid "six" msgstr "sia" msgid "seven" msgstr "seachd" msgid "eight" msgstr "ochd" msgid "nine" msgstr "naoidh" msgid "today" msgstr "an-diugh" msgid "tomorrow" msgstr "a-màireach" msgid "yesterday" msgstr "an-dè" #. Translators: delta will contain a string like '2 months' or '1 month, 2 #. weeks' #, python-format msgid "%(delta)s ago" msgstr "%(delta)s air ais" #. Translators: please keep a non-breaking space (U+00A0) between count #. and time unit. #, python-format msgid "an hour ago" msgid_plural "%(count)s hours ago" msgstr[0] "%(count)s uair a thìde air ais" msgstr[1] "%(count)s uair a thìde air ais" msgstr[2] "%(count)s uairean a thìde air ais" msgstr[3] "%(count)s uair a thìde air ais" #. Translators: please keep a non-breaking space (U+00A0) between count #. and time unit. #, python-format msgid "a minute ago" msgid_plural "%(count)s minutes ago" msgstr[0] "%(count)s mhionaid air ais" msgstr[1] "%(count)s mhionaid air ais" msgstr[2] "%(count)s mionaidean air ais" msgstr[3] "%(count)s mionaid air ais" #. Translators: please keep a non-breaking space (U+00A0) between count #. and time unit. #, python-format msgid "a second ago" msgid_plural "%(count)s seconds ago" msgstr[0] "%(count)s diog air ais" msgstr[1] "%(count)s dhiog air ais" msgstr[2] "%(count)s diogan air ais" msgstr[3] "%(count)s diog air ais" msgid "now" msgstr "an-dràsta" #. Translators: please keep a non-breaking space (U+00A0) between count #. and time unit. #, python-format msgid "a second from now" msgid_plural "%(count)s seconds from now" msgstr[0] "an ceann %(count)s diog" msgstr[1] "an ceann %(count)s dhiog" msgstr[2] "an ceann %(count)s diogan" msgstr[3] "an ceann %(count)s diog" #. Translators: please keep a non-breaking space (U+00A0) between count #. and time unit. #, python-format msgid "a minute from now" msgid_plural "%(count)s minutes from now" msgstr[0] "an ceann %(count)s mhionaid" msgstr[1] "an ceann %(count)s mhionaid" msgstr[2] "an ceann %(count)s mionaidean" msgstr[3] "an ceann %(count)s mionaid" #. Translators: please keep a non-breaking space (U+00A0) between count #. and time unit. #, python-format msgid "an hour from now" msgid_plural "%(count)s hours from now" msgstr[0] "an ceann %(count)s uair a thìde" msgstr[1] "an ceann %(count)s uair a thìde" msgstr[2] "an ceann %(count)s uairean a thìde" msgstr[3] "an ceann %(count)s uair a thìde" #. Translators: delta will contain a string like '2 months' or '1 month, 2 #. weeks' #, python-format msgid "%(delta)s from now" msgstr "an ceann %(delta)s" #. Translators: 'naturaltime-past' strings will be included in '%(delta)s ago' #, python-format msgctxt "naturaltime-past" msgid "%d year" msgid_plural "%d years" msgstr[0] "%d bhliadhna" msgstr[1] "%d bhliadhna" msgstr[2] "%d bliadhnaichean" msgstr[3] "%d bliadhna" #, python-format msgctxt "naturaltime-past" msgid "%d month" msgid_plural "%d months" msgstr[0] "%d mhìos" msgstr[1] "%d mhìos" msgstr[2] "%d mìosan" msgstr[3] "%d mìos" #, python-format msgctxt "naturaltime-past" msgid "%d week" msgid_plural "%d weeks" msgstr[0] "%d seachdain" msgstr[1] "%d sheachdain" msgstr[2] "%d seachdainean" msgstr[3] "%d seachdain" #, python-format msgctxt "naturaltime-past" msgid "%d day" msgid_plural "%d days" msgstr[0] "%d latha" msgstr[1] "%d latha" msgstr[2] "%d làithean" msgstr[3] "%d latha" #, python-format msgctxt "naturaltime-past" msgid "%d hour" msgid_plural "%d hours" msgstr[0] "%d uair a thìde" msgstr[1] "%d uair a thìde" msgstr[2] "%d uairean a thìde" msgstr[3] "%d uair a thìde" #, python-format msgctxt "naturaltime-past" msgid "%d minute" msgid_plural "%d minutes" msgstr[0] "%d mhionaid" msgstr[1] "%d mhionaid" msgstr[2] "%d mionaidean" msgstr[3] "%d mionaid" #. Translators: 'naturaltime-future' strings will be included in '%(delta)s #. from now' #, python-format msgctxt "naturaltime-future" msgid "%d year" msgid_plural "%d years" msgstr[0] "%d bhliadhna" msgstr[1] "%d bliadhna" msgstr[2] "%d bliadhnaichean" msgstr[3] "%d bliadhna" #, python-format msgctxt "naturaltime-future" msgid "%d month" msgid_plural "%d months" msgstr[0] "%d mhìos" msgstr[1] "%d mhìos" msgstr[2] "%d mìosan" msgstr[3] "%d mìos" #, python-format msgctxt "naturaltime-future" msgid "%d week" msgid_plural "%d weeks" msgstr[0] "%d seachdain" msgstr[1] "%d sheachdain" msgstr[2] "%d seachdainean" msgstr[3] "%d seachdain" #, python-format msgctxt "naturaltime-future" msgid "%d day" msgid_plural "%d days" msgstr[0] "%d latha" msgstr[1] "%d latha" msgstr[2] "%d làithean" msgstr[3] "%d latha" #, python-format msgctxt "naturaltime-future" msgid "%d hour" msgid_plural "%d hours" msgstr[0] "%d uair a thìde" msgstr[1] "%d uair a thìde" msgstr[2] "%d uairean a thìde" msgstr[3] "%d uair a thìde" #, python-format msgctxt "naturaltime-future" msgid "%d minute" msgid_plural "%d minutes" msgstr[0] "%d mhionaid" msgstr[1] "%d mhionaid" msgstr[2] "%d mionaidean" msgstr[3] "%d mionaid"
Gettext Catalog
4
jpmallarino/django
django/contrib/humanize/locale/gd/LC_MESSAGES/django.po
[ "BSD-3-Clause", "0BSD" ]
exclude: - sls: issue-47182.stateA somestuff: cmd.run: - name: echo This supersedes the stuff previously done in issue-47182.stateA
SaltStack
2
byteskeptical/salt
tests/integration/files/file/base/issue-47182/stateA/newer.sls
[ "Apache-2.0" ]
NoDecorators.ɵfac = …; NoDecorators.ɵprov = …; (function () { (typeof ngDevMode === "undefined" || ngDevMode) && $i0$.ɵsetClassMetadata(NoDecorators, [{ type: Injectable }], function () { return [{ type: Service }]; }, null); })();
JavaScript
3
John-Cassidy/angular
packages/compiler-cli/test/compliance/test_cases/r3_compiler_compliance/class_metadata/parameter_decorators_no_decorators.js
[ "MIT" ]
size: 1024px 512px; dpi: 96; lines { data-x: list(100px 300px 500px 700px 900px); data-y: list(200px 300px 200px 300px); }
CLIPS
3
paulasmuth/fnordmetric
test/plot-lines/lines_err_inconsistent_data.clp
[ "Apache-2.0" ]
<MediaContainer allowSync="1" identifier="com.plexapp.plugins.library" librarySectionID="1" librarySectionTitle="Movies" librarySectionUUID="805308ec-5019-43d4-a449-75d2b9e42f93" mediaTagPrefix="/system/bundle/media/flags/" mediaTagVersion="1603922053" size="1"><Video addedAt="1377829261" art="/library/metadata/1/art/1590245989" audienceRating="9.5" audienceRatingImage="rottentomatoes://image.rating.upright" chapterSource="agent" contentRating="R" duration="9000000" guid="com.plexapp.agents.imdb://tt0123456?lang=en" key="/library/metadata/1" lastViewedAt="1505969509" librarySectionID="1" librarySectionKey="/library/sections/1" librarySectionTitle="Movies" originallyAvailableAt="2000-01-01" primaryExtraKey="/library/metadata/195540" rating="9.0" ratingImage="rottentomatoes://image.rating.certified" ratingKey="1" studio="Studio Entertainment" summary="Some elaborate summary." tagline="Witty saying." thumb="/library/metadata/1/thumb/1590245989" title="Movie 1" type="movie" updatedAt="1590245989" viewCount="1" year="2000" viewOffset="555"> <Genre count="119" filter="genre=25578" id="25578" tag="Sci-Fi" /> <Genre count="197" filter="genre=87" id="87" tag="Action" /> <Director count="4" filter="director=100" id="100" tag="Famous Director" /> <Writer count="2" filter="writer=50000" id="50000" tag="A Writer" /> <Producer count="3" filter="producer=2000" id="2000" tag="Dr. Producer" /> <Country count="452" filter="country=1105" id="1105" tag="USA" /> <Role count="25" filter="actor=1" id="1" role="Character 1" tag="Actor 1" thumb="http://4.3.2.1/t/p/original/1.jpg" /> <Role count="2" filter="actor=2" id="2" role="Character 2" tag="Actor 2" thumb="http://4.3.2.1/t/p/original/2.jpg" /> <Role filter="actor=3" id="3" role="Character 3" tag="Actor 3" thumb="http://4.3.2.1/t/p/original/3.jpg" /> <Media aspectRatio="2.35" audioChannels="6" audioCodec="dca" audioProfile="dts" bitrate="7500" container="mkv" duration="9000000" height="544" id="2637" videoCodec="h264" videoFrameRate="24p" videoProfile="high" videoResolution="720" width="1280" /><Part audioProfile="dts" container="mkv" duration="9000000" file="/storage/videos/video.mkv" id="4631" key="/library/parts/4631/1215643935/file.mkv" size="8500000000" videoProfile="high" /><Stream bitDepth="8" bitrate="6000" chromaLocation="left" chromaSubsampling="4:2:0" codec="h264" codedHeight="544" codedWidth="1280" default="1" displayTitle="720p (H.264)" extendedDisplayTitle="x264 @ 6000 kbps (720p H.264)" frameRate="23.976" hasScalingMatrix="0" height="544" id="21428" index="0" language="English" languageCode="eng" level="51" profile="high" refFrames="8" scanType="progressive" streamType="1" title="x264 @ 6000 kbps" width="1280" /><Stream audioChannelLayout="5.1(side)" bitDepth="16" bitrate="1500" channels="6" codec="dca" default="1" displayTitle="English (DTS 5.1)" extendedDisplayTitle="DTS 5.1 @ 1500 kbps (English)" id="21429" index="1" language="English" languageCode="eng" profile="dts" samplingRate="48000" selected="1" streamType="2" title="DTS 5.1 @ 1500 kbps" /><Stream codec="srt" default="1" displayTitle="English (SRT)" extendedDisplayTitle="English (SRT)" id="21430" index="2" language="English" languageCode="eng" streamType="3" /></Video></MediaContainer>
XML
2
MrDelik/core
tests/components/plex/fixtures/media_1.xml
[ "Apache-2.0" ]
var A : [1..5, 1..5] int; writeln(A(6, 1));
Chapel
1
jhh67/chapel
test/arrays/deitz/part6/test_bounds1.chpl
[ "ECL-2.0", "Apache-2.0" ]
[Desktop Entry] Name=Remarkable Comment=A free, fully featured markdown editor for Linux. Categories=GNOME;Utility; Exec=/usr/bin/remarkable %f Icon=remarkable Terminal=false Type=Application
desktop
2
Noorquacker/Remarkable
remarkable.desktop
[ "MIT" ]
if( $#ARGV != 0 ) { die( "Usage: $0 docfile" ); } else { $docfile = $ARGV[0]; } if( ! -e "$docfile" ) { die( "File $docfile does not exist\n" ); } $docname = `basename $docfile`; chop( $docname ); $docname =~ s/.doc$//; $outname = $docname . ".m"; open( O,">$outname" ); open(M,$docfile); $synopsis = <M>; $toss = <M>; $usage = <M>; $toss = <M>; @slurp = <M>; close(M); print O "% $synopsis%\n%\n"; print O "%\t$usage%\n%\n"; print O grep( s/^/%\t/, @slurp ); print O "%\n"; print O "%\tAntelope Toolbox for Matlab\n"; print O "%\t [Antelope is a product of Boulder Real-Time Technologies, Inc.]\n"; print O "%\tKent Lindquist\n"; print O "%\tLindquist Consulting\n"; print O "%\t1997-2010\n";
XProc
3
jreyes1108/antelope_contrib
nobuild/data/matlab/antelope/matlabdoc/matdoc2dotm.xpl
[ "BSD-2-Clause", "MIT" ]
use Getopt::Std ; if ( ! getopts('f:o:') || @ARGV < 1 ) { die ( "Usage: $0 [-f time] [-o fmt] [sign] [count] [interval]\ne.g $0 - 1 day gives you the last day\n" ) ; } use Datascope ; use POSIX qw(floor); $ts= $opt_f ? str2epoch($opt_f) : str2epoch("now"); $fmt= $opt_o ? $opt_o : "%E"; $offset=1.0; foreach $s (@ARGV) { if ($s eq "-") { $offset *= -1.0; } if ($s=~/[0-9\.]+/) { $offset *= $s; } if ( $s=~/[a-zA-Z]+/) { if ($s=~/^[dD]/) { $offset*=86400; }elsif ($s =~ /^[wW]/) { $offset*=86400 * 7; }elsif ($s =~ /^[hH]/) { $offset*=3600; }elsif ($s=~/^[sS]/) { $offset*=1; } elsif ($s=~/^[Mm]/){ if ($s =~/[iI]/ || $s eq "m") { $offset*=60; } else { $year=epoch2str($ts,"%Y"); $month=epoch2str($ts,"%m") - 1; $day=epoch2str($ts,"%d"); $hms=epoch2str($ts,"%H:%M:%S.%s"); $nm=($month + $offset) % 12; $nm+=1; $dy=POSIX::floor(($month + $offset) / 12.0); $year +=$dy; $month= sprintf("%02i",$nm); #print "$dy $year-$month-$day $hms\n"; $t1=str2epoch("$year-$month-$day $hms"); $offset=$t1-$ts; } } elsif ($s=~/^[yY]/) { $year=epoch2str($ts,"%Y"); $month=epoch2str($ts,"%m"); $day=epoch2str($ts,"%d"); $hms=epoch2str($ts,"%H:%M:%S.%s"); $year+=$offset; $year=sprintf("%04i",$year); $t1=str2epoch("$year-$month-$day $hms"); $offset=$t1-$ts; } elsif ($s=~/^[cC]/) { $year=epoch2str($ts,"%Y"); $month=epoch2str($ts,"%m"); $day=epoch2str($ts,"%d"); $hms=epoch2str($ts,"%H:%M:%S.%s"); $year+=$offset * 100; $year=sprintf("%04i",$year); $t1=str2epoch("$year-$month-$day $hms"); $offset=$t1-$ts; } } } $t2=epoch2str($ts+$offset, $fmt); $t2=~s/^ //g; print "$t2\n";
XProc
2
jreyes1108/antelope_contrib
bin/utility/reltime/reltime.xpl
[ "BSD-2-Clause", "MIT" ]
xof 0302txt 0064 Header { 1; 0; 1; } Mesh ToeConeMesh { 5; 0.00; 0.00; 0.00;, 0.00; 0.00; 1.00;, 0.00; 0.15; 0.00;, 0.15; 0.00; 0.00;, -0.15; 0.00; 0.00;; 4; 3;1,4,3;, 3;1,2,4;, 3;1,3,2;, 3;2,3,4;; Material { 1.000000;1.000000;1.000000;1.000000;; 0.000000; 1.000000;1.000000;1.000000;; 0.000000;0.000000;0.000000;; } }
Logos
2
Ybalrid/orbiter
Extern/mssdk_dx7/samples/Multimedia/VBSamples/DXMisc/Media/toecone.x
[ "MIT" ]
use crate::simd::intrinsics; use crate::simd::{LaneCount, Simd, SimdElement, SupportedLaneCount}; use core::ops::{Add, Mul}; use core::ops::{BitAnd, BitOr, BitXor}; use core::ops::{Div, Rem, Sub}; use core::ops::{Shl, Shr}; mod assign; mod deref; mod unary; impl<I, T, const LANES: usize> core::ops::Index<I> for Simd<T, LANES> where T: SimdElement, LaneCount<LANES>: SupportedLaneCount, I: core::slice::SliceIndex<[T]>, { type Output = I::Output; fn index(&self, index: I) -> &Self::Output { &self.as_array()[index] } } impl<I, T, const LANES: usize> core::ops::IndexMut<I> for Simd<T, LANES> where T: SimdElement, LaneCount<LANES>: SupportedLaneCount, I: core::slice::SliceIndex<[T]>, { fn index_mut(&mut self, index: I) -> &mut Self::Output { &mut self.as_mut_array()[index] } } /// Checks if the right-hand side argument of a left- or right-shift would cause overflow. fn invalid_shift_rhs<T>(rhs: T) -> bool where T: Default + PartialOrd + core::convert::TryFrom<usize>, <T as core::convert::TryFrom<usize>>::Error: core::fmt::Debug, { let bits_in_type = T::try_from(8 * core::mem::size_of::<T>()).unwrap(); rhs < T::default() || rhs >= bits_in_type } /// Automatically implements operators over references in addition to the provided operator. macro_rules! impl_ref_ops { // binary op { impl<const $lanes:ident: usize> core::ops::$trait:ident<$rhs:ty> for $type:ty where LaneCount<$lanes2:ident>: SupportedLaneCount, { type Output = $output:ty; $(#[$attrs:meta])* fn $fn:ident($self_tok:ident, $rhs_arg:ident: $rhs_arg_ty:ty) -> Self::Output $body:tt } } => { impl<const $lanes: usize> core::ops::$trait<$rhs> for $type where LaneCount<$lanes2>: SupportedLaneCount, { type Output = $output; $(#[$attrs])* fn $fn($self_tok, $rhs_arg: $rhs_arg_ty) -> Self::Output $body } }; } /// Automatically implements operators over vectors and scalars for a particular vector. macro_rules! impl_op { { impl Add for $scalar:ty } => { impl_op! { @binary $scalar, Add::add, simd_add } }; { impl Sub for $scalar:ty } => { impl_op! { @binary $scalar, Sub::sub, simd_sub } }; { impl Mul for $scalar:ty } => { impl_op! { @binary $scalar, Mul::mul, simd_mul } }; { impl Div for $scalar:ty } => { impl_op! { @binary $scalar, Div::div, simd_div } }; { impl Rem for $scalar:ty } => { impl_op! { @binary $scalar, Rem::rem, simd_rem } }; { impl Shl for $scalar:ty } => { impl_op! { @binary $scalar, Shl::shl, simd_shl } }; { impl Shr for $scalar:ty } => { impl_op! { @binary $scalar, Shr::shr, simd_shr } }; { impl BitAnd for $scalar:ty } => { impl_op! { @binary $scalar, BitAnd::bitand, simd_and } }; { impl BitOr for $scalar:ty } => { impl_op! { @binary $scalar, BitOr::bitor, simd_or } }; { impl BitXor for $scalar:ty } => { impl_op! { @binary $scalar, BitXor::bitxor, simd_xor } }; // generic binary op with assignment when output is `Self` { @binary $scalar:ty, $trait:ident :: $trait_fn:ident, $intrinsic:ident } => { impl_ref_ops! { impl<const LANES: usize> core::ops::$trait<Self> for Simd<$scalar, LANES> where LaneCount<LANES>: SupportedLaneCount, { type Output = Self; #[inline] fn $trait_fn(self, rhs: Self) -> Self::Output { unsafe { intrinsics::$intrinsic(self, rhs) } } } } }; } /// Implements floating-point operators for the provided types. macro_rules! impl_float_ops { { $($scalar:ty),* } => { $( impl_op! { impl Add for $scalar } impl_op! { impl Sub for $scalar } impl_op! { impl Mul for $scalar } impl_op! { impl Div for $scalar } impl_op! { impl Rem for $scalar } )* }; } /// Implements unsigned integer operators for the provided types. macro_rules! impl_unsigned_int_ops { { $($scalar:ty),* } => { $( impl_op! { impl Add for $scalar } impl_op! { impl Sub for $scalar } impl_op! { impl Mul for $scalar } impl_op! { impl BitAnd for $scalar } impl_op! { impl BitOr for $scalar } impl_op! { impl BitXor for $scalar } // Integers panic on divide by 0 impl_ref_ops! { impl<const LANES: usize> core::ops::Div<Self> for Simd<$scalar, LANES> where LaneCount<LANES>: SupportedLaneCount, { type Output = Self; #[inline] fn div(self, rhs: Self) -> Self::Output { if rhs.as_array() .iter() .any(|x| *x == 0) { panic!("attempt to divide by zero"); } // Guards for div(MIN, -1), // this check only applies to signed ints if <$scalar>::MIN != 0 && self.as_array().iter() .zip(rhs.as_array().iter()) .any(|(x,y)| *x == <$scalar>::MIN && *y == -1 as _) { panic!("attempt to divide with overflow"); } unsafe { intrinsics::simd_div(self, rhs) } } } } // remainder panics on zero divisor impl_ref_ops! { impl<const LANES: usize> core::ops::Rem<Self> for Simd<$scalar, LANES> where LaneCount<LANES>: SupportedLaneCount, { type Output = Self; #[inline] fn rem(self, rhs: Self) -> Self::Output { if rhs.as_array() .iter() .any(|x| *x == 0) { panic!("attempt to calculate the remainder with a divisor of zero"); } // Guards for rem(MIN, -1) // this branch applies the check only to signed ints if <$scalar>::MIN != 0 && self.as_array().iter() .zip(rhs.as_array().iter()) .any(|(x,y)| *x == <$scalar>::MIN && *y == -1 as _) { panic!("attempt to calculate the remainder with overflow"); } unsafe { intrinsics::simd_rem(self, rhs) } } } } // shifts panic on overflow impl_ref_ops! { impl<const LANES: usize> core::ops::Shl<Self> for Simd<$scalar, LANES> where LaneCount<LANES>: SupportedLaneCount, { type Output = Self; #[inline] fn shl(self, rhs: Self) -> Self::Output { // TODO there is probably a better way of doing this if rhs.as_array() .iter() .copied() .any(invalid_shift_rhs) { panic!("attempt to shift left with overflow"); } unsafe { intrinsics::simd_shl(self, rhs) } } } } impl_ref_ops! { impl<const LANES: usize> core::ops::Shr<Self> for Simd<$scalar, LANES> where LaneCount<LANES>: SupportedLaneCount, { type Output = Self; #[inline] fn shr(self, rhs: Self) -> Self::Output { // TODO there is probably a better way of doing this if rhs.as_array() .iter() .copied() .any(invalid_shift_rhs) { panic!("attempt to shift with overflow"); } unsafe { intrinsics::simd_shr(self, rhs) } } } } )* }; } /// Implements unsigned integer operators for the provided types. macro_rules! impl_signed_int_ops { { $($scalar:ty),* } => { impl_unsigned_int_ops! { $($scalar),* } }; } impl_unsigned_int_ops! { u8, u16, u32, u64, usize } impl_signed_int_ops! { i8, i16, i32, i64, isize } impl_float_ops! { f32, f64 }
Rust
5
david-perez/rust
library/portable-simd/crates/core_simd/src/ops.rs
[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]
# this script will print a blue gradient on the screen # We can get the terminal width and height now with term size # but we like to use the script as a benchmark, so let's keep # it a constant size for now let height = 40 # really need to get the terminal height here let width = 160 # really need to get the terminal width here let stamp = 'Nu' seq 0 $height | each { let row_data = (seq 0 $width | each { |col| let fgcolor = (iter_inc 2 2 $col) if $fgcolor > 200 && $fgcolor < 210 { $"(ansi -e '48;2;0;0;')($fgcolor)m($stamp)(ansi -e '0m')" } { $"(ansi -e '48;2;0;0;')($fgcolor)m(char sp)(ansi -e '0m')" } } | str collect) $"($row_data)(char newline)" | autoview } | str collect def iter_inc [incr mult iter] { $incr + $mult * $iter } # ╭────┬────────────────────┬───────────────────────────────────────────────────────────────────────────────────────────────────╮ # │ # │ key │ value │ # ├────┼────────────────────┼───────────────────────────────────────────────────────────────────────────────────────────────────┤ # │ 0 │ version │ 0.31.1 │ # │ 1 │ branch │ main │ # │ 2 │ short_commit │ 751de20f │ # │ 3 │ commit_hash │ 751de20f938ed200ae6128a30d06a5dd24a4fd33 │ # │ 4 │ commit_date │ 2021-05-21 02:04:27 │ # │ 5 │ build_os │ windows-x86_64 │ # │ 6 │ rust_version │ rustc 1.52.1 (9bc8c42bb 2021-05-09) │ # │ 7 │ rust_channel │ stable (default) │ # │ 8 │ cargo_version │ cargo 1.52.0 (69767412a 2021-04-21) │ # │ 9 │ pkg_version │ 0.31.1 │ # │ 10 │ build_time │ 2021-05-21 07:20:25 │ # │ 11 │ build_rust_channel │ release │ # │ 12 │ features │ clipboard-cli, ctrlc, default, directories, dirs, ptree, rustyline, term, trash, uuid, which, zip │ # ╰────┴────────────────────┴───────────────────────────────────────────────────────────────────────────────────────────────────╯
Nu
4
x3rAx/nu_scripts
coloring/gradient.nu
[ "MIT" ]
/** * @license * Copyright Google LLC All Rights Reserved. * * Use of this source code is governed by an MIT-style license that can be * found in the LICENSE file at https://angular.io/license */ export {ContentOrigin} from './src/content_origin'; export {MapAndPath, RawSourceMap} from './src/raw_source_map'; export {Mapping, SourceFile} from './src/source_file'; export {SourceFileLoader} from './src/source_file_loader';
TypeScript
2
John-Cassidy/angular
packages/compiler-cli/src/ngtsc/sourcemaps/index.ts
[ "MIT" ]
# Copyright 2013 Reservoir Labs, Inc. # All rights reserved. # # Contributed by Bob Rotsted # # Small Business Innovation Research (SBIR) Data Rights. # # These SBIR data are furnished with SBIR rights under Contract # No. DE-SC0004400 and DE-SC0006343. For a period of 4 years # (expiring August, 2018), unless extended in accordance with # FAR 27.409(h), subject to Section 8 of the SBA SBIR Policy # Directive of August 6, 2012, after acceptance of all items to # be delivered under this contract, theGovernment will use these # data for Government purposes only, and theyshall not be # disclosed outside the Government (including disclosure for # procurement purposes) during such period without permission of # the Contractor, except that, subject to the foregoing use and # disclosure prohibitions, these data may be disclosed for use # by support Contractors. After the protection period, the # Government has a paid-up license to use, and to authorize # others to use on its behalf, these data for Government # purposes, but is relieved of all disclosure prohibitions and # assumes no liability for unauthorized use of these data by # third parties. This notice shall be affixed to any # reproductions of these data, in whole or in part. ##! Implements the Producer Consumer Ratio as described by http://resources.sei.cmu.edu/asset_files/Presentation/2014_017_001_90063.pdf module PCR; export { ## Add 'pcr' field to Conn log redef record Conn::Info += { pcr: double &log &optional; }; ## Create new 'pcr' log redef enum Log::ID += { LOG }; type Info: record { ts: time &log; src: addr &log; pcr: double &log; summary_interval: interval &log; }; global log_pcr: event(rec: Info); ## Sets the summary interval for PCR metric global summary_interval = 1min &redef; } event connection_state_remove (c: connection) { if (c$id$orig_h !in Site::local_nets) { return; } local numerator = (c$orig$size + 0.0) - (c$resp$size + 0.0); local denominator = (c$orig$size + 0.0) + (c$resp$size + 0.0); if (numerator == 0.0 ) return; local x = ( numerator / denominator ); c$conn$pcr = x; SumStats::observe( "pcr", [$host=c$id$orig_h], [$dbl=x] ); } event bro_init() { ## Create PCR log stream Log::create_stream(PCR::LOG, [$columns=Info, $ev=log_pcr]); local r1 = SumStats::Reducer($stream="pcr", $apply=set(SumStats::AVERAGE)); SumStats::create([$name = "pcr", $epoch = summary_interval, $reducers = set(r1), $epoch_result(ts: time, key: SumStats::Key, result: SumStats::Result) = { local rec: PCR::Info = [$ts=network_time(), $src=key$host, $summary_interval=PCR::summary_interval, $pcr=result["pcr"]$average]; Log::write(PCR::LOG, rec); }]); }
Bro
5
reservoirlabs/bro-scripts
producer-consumer-ratio/producer-consumer-ratio.bro
[ "Apache-2.0" ]
%% %% %CopyrightBegin% %% %% Copyright Ericsson AB 2021. All Rights Reserved. %% %% Licensed under the Apache License, Version 2.0 (the "License"); %% you may not use this file except in compliance with the License. %% You may obtain a copy of the License at %% %% http://www.apache.org/licenses/LICENSE-2.0 %% %% Unless required by applicable law or agreed to in writing, software %% distributed under the License is distributed on an "AS IS" BASIS, %% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %% See the License for the specific language governing permissions and %% limitations under the License. %% %% %CopyrightEnd% %% -module(error_info_lib). -export([test_error_info/2, test_error_info/3]). test_error_info(Module, List) -> test_error_info(Module, List, []). test_error_info(Module, L0, Options) -> L1 = lists:foldl(fun({_,A}, Acc) when is_integer(A) -> Acc; ({F,A}, Acc) -> [{F,A,[]}|Acc]; ({F,A,Opts}, Acc) -> [{F,A,Opts}|Acc] end, [], L0), Tests = ordsets:from_list([{F,length(A)} || {F,A,_} <- L1] ++ [{F,A} || {F,A} <- L0, is_integer(A)]), Bifs0 = get_bifs(Module, Options), Bifs = ordsets:from_list(Bifs0), NYI = [{F,lists:duplicate(A, '*'),nyi} || {F,A} <- Bifs -- Tests], L = lists:sort(NYI ++ L1), do_error_info(L, Module, []). get_bifs(Module, Options) -> case lists:member(snifs_only, Options) of true -> [{F,A} || {M,F,A} <- erlang:system_info(snifs), M =:= Module, A =/= 0]; false -> [{F,A} || {F,A} <- Module:module_info(exports), A =/= 0, F =/= module_info] end. do_error_info([{_,Args,nyi}=H|T], Module, Errors) -> case lists:all(fun(A) -> A =:= '*' end, Args) of true -> do_error_info(T, Module, [{nyi,H}|Errors]); false -> do_error_info(T, Module, [{bad_nyi,H}|Errors]) end; do_error_info([{F,Args,Opts}|T], Module, Errors) -> eval_bif_error(F, Args, Opts, T, Module, Errors); do_error_info([], _Module, Errors0) -> case lists:sort(Errors0) of [] -> ok; [_|_]=Errors -> io:format("\n~p\n", [Errors]), ct:fail({length(Errors),errors}) end. eval_bif_error(F, Args, Opts, T, Module, Errors0) -> try apply(Module, F, Args) of Result -> case lists:member(no_fail, Opts) of true -> do_error_info(T, Module, Errors0); false -> do_error_info(T, Module, [{should_fail,{F,Args},Result}|Errors0]) end catch error:Reason:Stk -> SF = fun(Mod, _, _) -> Mod =:= test_server end, Str = erl_error:format_exception(error, Reason, Stk, #{stack_trim_fun => SF}), BinStr = iolist_to_binary(Str), ArgStr = lists:join(", ", [io_lib:format("~p", [A]) || A <- Args]), io:format("\n~p:~p(~s)\n~ts", [Module,F,ArgStr,BinStr]), case Stk of [{Module,ActualF,ActualArgs,Info}|_] -> RE = <<"[*][*][*] argument \\d+:">>, Errors1 = case re:run(BinStr, RE, [{capture, none}]) of match -> Errors0; nomatch when Reason =:= system_limit -> Errors0; nomatch -> case lists:member(unexplained, Opts) of true -> Errors0; false -> [{no_explanation,{F,Args},Info}|Errors0] end end, Errors = case {ActualF,ActualArgs} of {F,Args} -> Errors1; _ -> [{renamed,{F,length(Args)},{ActualF,ActualArgs}}|Errors1] end, do_error_info(T, Module, Errors); _ -> Errors = [{renamed,{F,length(Args)},hd(Stk)}|Errors0], do_error_info(T, Module, Errors) end end.
Erlang
4
jjhoo/otp
lib/kernel/test/error_info_lib.erl
[ "Apache-2.0" ]
<p>It's often a good idea to start the test with opening <tt>/selenium/setup</tt> (see <%%= link_to 'here', :controller => 'selenium', :action => 'setup' %> for more info).</p> <table> <tr><th colspan="3"><%%= @page_title %></th></tr> <tr><td>open</td><td>/selenium/setup</td><td>&nbsp;</td></tr> <%% for page in ['/', '/home'] -%> <tr><td>open</td><td><%%= page %></td><td>&nbsp;</td></tr> <tr><td>assertTitle</td><td>Home</td><td>&nbsp;</td></tr> <%% end -%> </table> <p>More information about the commands is available <a href="http://release.openqa.org/selenium-core/nightly/reference.html">here</a>.</p> <p>You can write comments above and below the commands, but you can only have one set of commands, i.e. one table, per test.</p> <p>Point the browser to <a href="<%= testcase_link %>"><%= testcase_link %></a> to see how this test is rendered, or to <a href="<%= suite_link %>"><%= suite_link %></a> to run the suite.</p>
RHTML
3
RockHong/railscasts-episodes
episode-116/store/vendor/plugins/selenium-on-rails/generators/selenium/templates/rhtml.rhtml
[ "MIT" ]
--TEST-- Bug #64070 (Inheritance with Traits failed with error) --FILE-- <?php trait first_trait { function first_function() { echo "From First Trait\n"; } } trait second_trait { use first_trait { first_trait::first_function as second_function; } function first_function() { echo "From Second Trait\n"; } } class first_class { use second_trait; } $obj = new first_class(); $obj->first_function(); $obj->second_function(); ?> --EXPECT-- From Second Trait From First Trait
PHP
4
guomoumou123/php5.5.10
Zend/tests/traits/bug64070.phpt
[ "PHP-3.01" ]
#define TERRAIN #include "envMapPS.hlsl"
HLSL
0
rohankumardubey/WickedEngine
WickedEngine/shaders/envMapPS_terrain.hlsl
[ "MIT" ]
use "lib:codegen-trace-additional" use @gc_local[Pointer[None]](target: Main) use @gc_local_snapshot[Pointer[None]](target: Main) use @gc_local_snapshot_destroy[None](obj_map: Pointer[None]) use @objectmap_size[USize](obj_map: Pointer[None]) use @pony_ctx[Pointer[None]]() use @pony_triggergc[None](ctx: Pointer[None]) use @pony_exitcode[None](code: I32) actor Main var map_before: Pointer[None] = Pointer[None] new create(env: Env) => // Trigger GC to remove env from the object map. @pony_triggergc(@pony_ctx()) test() be test() => map_before = @gc_local_snapshot(this) trace(42, None) be trace(x: U32, y: None) => let map_after = @gc_local(this) let size_before = @objectmap_size(map_before) let size_after = @objectmap_size(map_after) // Both maps should be empty. let ok = (size_before == 0) and (size_after == 0) @gc_local_snapshot_destroy(map_before) @pony_exitcode(I32(if ok then 1 else 0 end))
Pony
4
rtpax/ponyc
test/libponyc-run/codegen-trace-no-trace/main.pony
[ "BSD-2-Clause" ]
/* See LICENSE folder for this sample’s licensing information. Abstract: Metal shaders used for ray tracing */ #include <metal_stdlib> #include <simd/simd.h> using namespace metal; #include "ShaderTypes.h" #include "ClosestHitShader.h" // Interpolates vertex attribute of an arbitrary type across the surface of a triangle // given the barycentric coordinates and triangle index in an intersection struct template<typename T> inline T interpolateVertexAttribute(const device T *attributes, const device uint* indices, Intersection intersection) { // Barycentric coordinates sum to one float3 uvw; uvw.xy = intersection.coordinates; uvw.z = 1.0f - uvw.x - uvw.y; uint triangleIndex = intersection.primitiveIndex; uint i0 = indices[3 * triangleIndex + 0]; uint i1 = indices[3 * triangleIndex + 1]; uint i2 = indices[3 * triangleIndex + 2]; // Lookup value for each vertex T T0 = attributes[i0]; T T1 = attributes[i1]; T T2 = attributes[i2]; // Compute sum of vertex attributes weighted by barycentric coordinates return uvw.x * T0 + uvw.y * T1 + uvw.z * T2; } inline float3 interpolateVertexAttribute(const device packed_float3 *attributes, const device uint* indices, Intersection intersection) { // Barycentric coordinates sum to one float3 uvw; uvw.xy = intersection.coordinates; uvw.z = 1.0f - uvw.x - uvw.y; uint triangleIndex = intersection.primitiveIndex; uint i0 = indices[3 * triangleIndex + 0]; uint i1 = indices[3 * triangleIndex + 1]; uint i2 = indices[3 * triangleIndex + 2]; // Lookup value for each vertex float3 T0 = float3(attributes[i0]); float3 T1 = float3(attributes[i1]); float3 T2 = float3(attributes[i2]); // Compute sum of vertex attributes weighted by barycentric coordinates return uvw.x * T0 + uvw.y * T1 + uvw.z * T2; } // Uses the inversion method to map two uniformly random numbers to a three dimensional // unit hemisphere where the probability of a given sample is proportional to the cosine // of the angle between the sample direction and the "up" direction (0, 1, 0) inline float3 sampleCosineWeightedHemisphere(float2 u) { float phi = 2.0f * M_PI_F * u.x; float cos_phi; float sin_phi = sincos(phi, cos_phi); float cos_theta = sqrt(u.y); float sin_theta = sqrt(1.0f - cos_theta * cos_theta); return float3(sin_theta * cos_phi, cos_theta, sin_theta * sin_phi); } // Aligns a direction on the unit hemisphere such that the hemisphere's "up" direction // (0, 1, 0) maps to the given surface normal direction inline float3 alignHemisphereWithNormal(float3 sample, float3 normal) { // Set the "up" vector to the normal float3 up = normal; // Find an arbitrary direction perpendicular to the normal. This will become the // "right" vector. float3 right = normalize(cross(normal, float3(0.0072f, 1.0f, 0.0034f))); // Find a third vector perpendicular to the previous two. This will be the // "forward" vector. float3 forward = cross(right, up); // Map the direction on the unit hemisphere to the coordinate system aligned // with the normal. return sample.x * right + sample.y * up + sample.z * forward; } //==== // https://github.com/playdeadgames/temporal/blob/master/Assets/Shaders/IncNoise.cginc // The MIT License (MIT) // // Copyright (c) [2015] [Playdead] // // Permission is hereby granted, free of charge, to any person obtaining a copy // of this software and associated documentation files (the "Software"), to deal // in the Software without restriction, including without limitation the rights // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the Software is // furnished to do so, subject to the following conditions: // // The above copyright notice and this permission notice shall be included in all // copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE // AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, // OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE // SOFTWARE. //note: normalized random, float=[0, 1] float PDnrand( float2 n ) { return fract( sin(dot(n.xy, float2(12.9898, 78.233f)))* 43758.5453 ); } float2 PDnrand2( float2 n ) { return fract( sin(dot(n.xy, float2(12.9898, 78.233f)))* float2(43758.5453, 28001.8384) ); } float3 PDnrand3( float2 n ) { return fract( sin(dot(n.xy, float2(12.9898, 78.233f)))* float3(43758.5453, 28001.8384, 50849.4141 ) ); } float4 PDnrand4( float2 n ) { return fract( sin(dot(n.xy, float2(12.9898, 78.233f)))* float4(43758.5453, 28001.8384, 50849.4141, 12996.89) ); } // Convert uniform distribution into triangle-shaped distribution. // https://www.shadertoy.com/view/4t2SDh // Input is in range [0, 1] // Output is in range [-1, 1], which is useful for dithering. inline float2 uniformNoiseToTriangular(float2 n) { float2 orig = n*2.0-1.0; n = orig*rsqrt(abs(orig)); n = max(-1.0,n); n = n-float2(sign(orig)); return n; } ushort MetalClosestHitShader::subshaderCount() { return 2; } void MetalClosestHitShader::shader0(uint pathIndex, constant Uniforms & uniforms, const device Intersection& intersection, device Payload &payload, constant CSDataPerFrame& csDataPerFrame, constant CSData& csData ) { const uint maxRecursionDepth = 1; // inclusive if (payload.recursionDepth > maxRecursionDepth) { SkipSubshaders(); return; } uint2 pixelPos = uint2(pathIndex % uniforms.width, pathIndex / uniforms.width); float2 pixelUV = (float2(pixelPos) + 0.5) / float2(uniforms.width, uniforms.height); //uint mask = triangleMasks[intersection.primitiveIndex]; float3 position = interpolateVertexAttribute(csData.positions, csData.indices, intersection); float3 normal = normalize(interpolateVertexAttribute(csData.normals, csData.indices, intersection)); float2 uv = interpolateVertexAttribute(csData.uvs, csData.indices, intersection); uint materialIndex = csData.materialIndices[intersection.primitiveIndex]; texture2d<float, access::sample> albedoTexture = csData.materialTextures[csData.materialTextureIndices[5 * materialIndex]]; constexpr sampler s(filter::linear, address::repeat); float4 textureVal = albedoTexture.sample(s, uv); float3 lightDir = csDataPerFrame.gSettings.mLightDirection; float3 rayOrigin = position + normal * 0.001; float3 surfaceAlbedo = (DENOISER_ENABLED && payload.recursionDepth == 0) ? 1.0 : textureVal.rgb; #if DENOISER_ENABLED if (payload.recursionDepth == 0) { payload.surfaceAlbedo = textureVal.rgb; } #endif float3 lightSample = 5.0 * saturate(dot(lightDir, normal)) * surfaceAlbedo * M_1_PI_F; payload.lightSample = lightSample * payload.throughput; // The sample has a PDF of cos(theta) / pi, so we only need to multiply // by the albedo for Lambertian diffuse. payload.throughput *= surfaceAlbedo; float2 sample = uniformNoiseToTriangular(PDnrand2(pixelUV + payload.randomSeed + payload.recursionDepth)) * 0.5 + 0.5; float3 sampleDirLocal = sampleCosineWeightedHemisphere(sample); float3 sampleDir = alignHemisphereWithNormal(sampleDirLocal, normal); payload.indirectRayOrigin = rayOrigin; payload.indirectRayDirection = sampleDir; if (payload.recursionDepth + 1 > maxRecursionDepth) { SkipSubshaders(); // Don't dispatch an indirect ray. } Ray outRay; outRay.origin = rayOrigin; outRay.direction = lightDir; outRay.maxDistance = 10000; outRay.mask = 0xFF; TraceRay(outRay, /* missShaderIndex = */ 1, /* rayContributionToHitGroupIndex = */ 1); payload.recursionDepth += 1; } void MetalClosestHitShader::shader1(uint pathIndex, constant Uniforms & uniforms, const device Intersection& intersection, device Payload &payload, constant CSDataPerFrame& csDataPerFrame, constant CSData& csData ) { Ray outRay; outRay.origin = payload.indirectRayOrigin; outRay.direction = payload.indirectRayDirection; outRay.maxDistance = 10000; outRay.mask = 0xFF; TraceRay(outRay, /* missShaderIndex = */ 0); } // [numthreads(64, 1, 1)] DEFINE_METAL_CLOSEST_HIT_SHADER(chs, 0) DEFINE_METAL_CLOSEST_HIT_SHADER(chs_0, 1)
Metal
5
RemiArnaud/The-Forge
Examples_3/Unit_Tests/src/16_Raytracing/Shaders/Metal/ClosestHit.rchit.metal
[ "Apache-2.0" ]
<%= if Enum.any?(@results.episodes), do: render("episode.html", Map.merge(assigns, %{query: @query, results: @results.episodes})) %> <%= if Enum.any?(@results.news_items), do: render("news_item.html", Map.merge(assigns, %{query: @query, results: @results.news_items})) %> <%= if Enum.any?(@results.news_sources), do: render("news_source.html", Map.merge(assigns, %{query: @query, results: @results.news_sources})) %> <%= if Enum.any?(@results.people), do: render("person.html", Map.merge(assigns, %{query: @query, results: @results.people})) %> <%= if Enum.any?(@results.posts), do: render("post.html", Map.merge(assigns, %{query: @query, results: @results.posts})) %> <%= if Enum.any?(@results.sponsors), do: render("sponsor.html", Map.merge(assigns, %{query: @query, results: @results.sponsors})) %> <%= if Enum.any?(@results.topics), do: render("topic.html", Map.merge(assigns, %{query: @query, results: @results.topics})) %>
HTML+EEX
3
PsOverflow/changelog.com
lib/changelog_web/templates/admin/search/all.html.eex
[ "MIT" ]
#version 310 es layout (local_size_x = 4, local_size_y = 4) in; layout (binding = 0) readonly buffer InBufUV { uint data[]; } in_buf_uv; layout (binding = 1) writeonly buffer OutBufUV { uvec2 data[]; } out_buf_uv; layout (binding = 2) readonly buffer CoordX { vec4 data[]; } coordx; layout (binding = 3) readonly buffer CoordY { vec4 data[]; } coordy; uniform uint in_img_width; uniform uint out_img_width; uniform uint extended_offset; uniform uint coords_width; #define UNIT_SIZE 4u void main () { uint coord_pos = gl_GlobalInvocationID.y * coords_width + gl_GlobalInvocationID.x; vec4 in_uv_x = coordx.data[coord_pos]; vec4 in_uv_y = coordy.data[coord_pos]; uvec4 x00 = uvec4 (in_uv_x); uvec4 y00 = uvec4 (in_uv_y); uvec4 x01 = x00 + 1u; uvec4 y01 = y00; uvec4 x10 = x00; uvec4 y10 = y00 + 1u; uvec4 x11 = x01; uvec4 y11 = y10; vec4 fract_x = fract (in_uv_x); vec4 fract_y = fract (in_uv_y); vec4 weight00 = (1.0f - fract_x) * (1.0f - fract_y); vec4 weight01 = fract_x * (1.0f - fract_y); vec4 weight10 = (1.0f - fract_x) * fract_y; vec4 weight11 = fract_x * fract_y; uvec4 x00_floor = x00 >> 2u; // divided by UNIT_SIZE uvec4 x01_floor = x01 >> 2u; uvec4 x10_floor = x10 >> 2u; uvec4 x11_floor = x11 >> 2u; uvec4 x00_fract = (x00 % UNIT_SIZE) >> 1u; uvec4 x01_fract = (x01 % UNIT_SIZE) >> 1u; uvec4 x10_fract = (x10 % UNIT_SIZE) >> 1u; uvec4 x11_fract = (x11 % UNIT_SIZE) >> 1u; uvec4 index00 = y00 * in_img_width + x00_floor; uvec4 index01 = y01 * in_img_width + x01_floor; uvec4 index10 = y10 * in_img_width + x10_floor; uvec4 index11 = y11 * in_img_width + x11_floor; // pixel UV-value vec4 out00, out01, out10, out11; vec4 value = unpackUnorm4x8 (in_buf_uv.data[index00.x]); out00.xy = (x00_fract.x == 0u) ? value.xy : value.zw; value = (index01.x == index00.x) ? value : unpackUnorm4x8 (in_buf_uv.data[index01.x]); out01.xy = (x01_fract.x == 0u) ? value.xy : value.zw; value = unpackUnorm4x8 (in_buf_uv.data[index10.x]); out10.xy = (x10_fract.x == 0u) ? value.xy : value.zw; value = (index11.x == index10.x) ? value : unpackUnorm4x8 (in_buf_uv.data[index11.x]); out11.xy = (x11_fract.x == 0u) ? value.xy : value.zw; value = unpackUnorm4x8 (in_buf_uv.data[index00.y]); out00.zw = (x00_fract.y == 0u) ? value.xy : value.zw; value = (index01.y == index00.y) ? value : unpackUnorm4x8 (in_buf_uv.data[index01.y]); out01.zw = (x01_fract.y == 0u) ? value.xy : value.zw; value = unpackUnorm4x8 (in_buf_uv.data[index10.y]); out10.zw = (x10_fract.y == 0u) ? value.xy : value.zw; value = (index11.y == index10.y) ? value : unpackUnorm4x8 (in_buf_uv.data[index11.y]); out11.zw = (x11_fract.y == 0u) ? value.xy : value.zw; vec4 inter0 = out00 * weight00.xxyy + out01 * weight01.xxyy + out10 * weight10.xxyy + out11 * weight11.xxyy; value = unpackUnorm4x8 (in_buf_uv.data[index00.z]); out00.xy = (x00_fract.z == 0u) ? value.xy : value.zw; value = (index01.z == index00.z) ? value : unpackUnorm4x8 (in_buf_uv.data[index01.z]); out01.xy = (x01_fract.z == 0u) ? value.xy : value.zw; value = unpackUnorm4x8 (in_buf_uv.data[index10.z]); out10.xy = (x10_fract.z == 0u) ? value.xy : value.zw; value = (index11.z == index10.z) ? value : unpackUnorm4x8 (in_buf_uv.data[index11.z]); out11.xy = (x11_fract.z == 0u) ? value.xy : value.zw; value = unpackUnorm4x8 (in_buf_uv.data[index00.w]); out00.zw = (x00_fract.w == 0u) ? value.xy : value.zw; value = (index01.w == index00.w) ? value : unpackUnorm4x8 (in_buf_uv.data[index01.w]); out01.zw = (x01_fract.w == 0u) ? value.xy : value.zw; value = unpackUnorm4x8 (in_buf_uv.data[index10.w]); out10.zw = (x10_fract.w == 0u) ? value.xy : value.zw; value = (index11.w == index10.w) ? value : unpackUnorm4x8 (in_buf_uv.data[index11.w]); out11.zw = (x11_fract.w == 0u) ? value.xy : value.zw; vec4 inter1 = out00 * weight00.zzww + out01 * weight01.zzww + out10 * weight10.zzww + out11 * weight11.zzww; uint out_pos = gl_GlobalInvocationID.y * out_img_width + extended_offset + gl_GlobalInvocationID.x; out_buf_uv.data[out_pos] = uvec2 (packUnorm4x8 (inter0), packUnorm4x8 (inter1)); }
Slash
3
zongwave/libxcam
shaders/glsl/shader_geomap_fastmap_uv_nv12.comp.sl
[ "Apache-2.0" ]
use v6; class Item { has Str $.name; has Int $.sell_in is rw = 0; has Int $.quality is rw = 0; method Str { "{$!name}, {$!sell_in}, {$!quality}" } };
Perl6
3
yangyangisyou/GildedRose-Refactoring-Kata
perl6/lib/Item.pm6
[ "MIT" ]
source "https://rubygems.org" gem "nokogiri", "~> 1.6.0" gemspec :path=>"../"
Logos
2
shanipribadi/phonelib
gemfiles/Gemfile.ruby-2.0.x
[ "MIT" ]
import { WorkerPool } from "gatsby-worker" import { initJobsMessagingInMainProcess } from "../../../jobs/worker-messaging" import { initReporterMessagingInMainProcess } from "../../reporter" import type { MessagesFromChild, MessagesFromParent } from "../../messaging" export type GatsbyTestWorkerPool = WorkerPool< typeof import("./child-for-tests"), MessagesFromParent, MessagesFromChild > export function createTestWorker(numWorkers = 1): GatsbyTestWorkerPool { const worker: GatsbyTestWorkerPool = new WorkerPool( require.resolve(`./child-for-tests`), { numWorkers, env: { // We are using JEST_WORKER_ID env so that worker use same test database as // jest runner process FORCE_TEST_DATABASE_ID: process.env.JEST_WORKER_ID, GATSBY_WORKER_POOL_WORKER: `true`, NODE_OPTIONS: `--require ${require.resolve(`./ts-register`)}`, }, } ) initJobsMessagingInMainProcess(worker) initReporterMessagingInMainProcess(worker) return worker }
TypeScript
4
waltercruz/gatsby
packages/gatsby/src/utils/worker/__tests__/test-helpers/create-test-worker.ts
[ "MIT" ]
- dashboard: customer_segment_deepdive preferred_viewer: dashboards-next title: Customer Segment Deep-dive layout: newspaper elements: - title: Sales name: Sales model: retail_block_model_v2 explore: transactions type: single_value fields: [transactions.selected_comparison, transactions__line_items.total_sales, transactions.number_of_transactions, transactions__line_items.average_basket_size, transactions__line_items.total_quantity] filters: transactions.comparison_type: year transactions.selected_comparison: "-NULL" sorts: [transactions.selected_comparison desc] limit: 500 column_limit: 50 dynamic_fields: [{table_calculation: vs_ly, label: vs LY, expression: "${transactions__line_items.total_sales}/offset(${transactions__line_items.total_sales},1)-1", value_format: !!null '', value_format_name: percent_1, _kind_hint: measure, _type_hint: number}] custom_color_enabled: true custom_color: "#5A30C2" show_single_value_title: true show_comparison: true comparison_type: change comparison_reverse_colors: false show_comparison_label: true enable_conditional_formatting: false conditional_formatting_include_totals: false conditional_formatting_include_nulls: false series_types: {} hidden_fields: [transactions__line_items.average_basket_size, transactions__line_items.total_quantity, transactions.number_of_transactions] listen: Customer Segment: customer_clustering_prediction.customer_segment Date Range: transactions.date_comparison_filter row: 2 col: 0 width: 6 height: 2 - title: Transactions name: Transactions model: retail_block_model_v2 explore: transactions type: single_value fields: [transactions.selected_comparison, transactions__line_items.total_sales, transactions.number_of_transactions, transactions__line_items.average_basket_size, transactions__line_items.total_quantity] filters: transactions.comparison_type: year transactions.selected_comparison: "-NULL" sorts: [transactions.selected_comparison desc] limit: 500 column_limit: 50 dynamic_fields: [{table_calculation: vs_ly, label: vs LY, expression: "${transactions.number_of_transactions}/offset(${transactions.number_of_transactions},1)-1", value_format: !!null '', value_format_name: percent_1, _kind_hint: measure, _type_hint: number}] custom_color_enabled: true custom_color: "#5A30C2" show_single_value_title: true show_comparison: true comparison_type: change comparison_reverse_colors: false show_comparison_label: true enable_conditional_formatting: false conditional_formatting_include_totals: false conditional_formatting_include_nulls: false series_types: {} hidden_fields: [transactions__line_items.average_basket_size, transactions__line_items.total_sales, transactions__line_items.total_quantity] listen: Customer Segment: customer_clustering_prediction.customer_segment Date Range: transactions.date_comparison_filter row: 2 col: 6 width: 6 height: 2 - title: Basket Size name: Basket Size model: retail_block_model_v2 explore: transactions type: single_value fields: [transactions.selected_comparison, transactions__line_items.total_sales, transactions.number_of_transactions, transactions__line_items.average_basket_size, transactions__line_items.total_quantity] filters: transactions.comparison_type: year transactions.selected_comparison: "-NULL" sorts: [transactions.selected_comparison desc] limit: 500 column_limit: 50 dynamic_fields: [{table_calculation: vs_ly, label: vs LY, expression: "${transactions__line_items.average_basket_size}/offset(${transactions__line_items.average_basket_size},1)-1", value_format: !!null '', value_format_name: percent_1, _kind_hint: measure, _type_hint: number}] custom_color_enabled: true custom_color: "#5A30C2" show_single_value_title: true show_comparison: true comparison_type: change comparison_reverse_colors: false show_comparison_label: true enable_conditional_formatting: false conditional_formatting_include_totals: false conditional_formatting_include_nulls: false series_types: {} hidden_fields: [transactions__line_items.total_sales, transactions__line_items.total_quantity, transactions.number_of_transactions] listen: Customer Segment: customer_clustering_prediction.customer_segment Date Range: transactions.date_comparison_filter row: 2 col: 12 width: 6 height: 2 - title: Quantity name: Quantity model: retail_block_model_v2 explore: transactions type: single_value fields: [transactions.selected_comparison, transactions__line_items.total_sales, transactions.number_of_transactions, transactions__line_items.average_basket_size, transactions__line_items.total_quantity] filters: transactions.comparison_type: year transactions.selected_comparison: "-NULL" sorts: [transactions.selected_comparison desc] limit: 500 column_limit: 50 dynamic_fields: [{table_calculation: vs_ly, label: vs LY, expression: "${transactions__line_items.total_quantity}/offset(${transactions__line_items.total_quantity},1)-1", value_format: !!null '', value_format_name: percent_1, _kind_hint: measure, _type_hint: number}] custom_color_enabled: true custom_color: "#5A30C2" show_single_value_title: true show_comparison: true comparison_type: change comparison_reverse_colors: false show_comparison_label: true enable_conditional_formatting: false conditional_formatting_include_totals: false conditional_formatting_include_nulls: false series_types: {} hidden_fields: [transactions__line_items.total_sales, transactions.number_of_transactions, transactions__line_items.average_basket_size] listen: Customer Segment: customer_clustering_prediction.customer_segment Date Range: transactions.date_comparison_filter row: 2 col: 18 width: 6 height: 2 - title: Customer Segment name: Customer Segment model: retail_block_model_v2 explore: customer_clustering_prediction type: single_value fields: [customer_clustering_prediction.customer_segment_basic_dim] limit: 500 column_limit: 50 series_types: {} listen: Customer Segment: customer_clustering_prediction.customer_segment_basic_dim row: 0 col: 0 width: 24 height: 2 - name: '' type: text title_text: '' subtitle_text: '' body_text: |- <div align="center"> <div><img src="https://upload.wikimedia.org/wikipedia/en/thumb/8/83/Salesforce_logo.svg/1200px-Salesforce_logo.svg.png" height="150"></div> <div><a href="https://retail-demo-app-idhn2cvrpq-uc.a.run.app/api/exportToSalesforce" target="_blank"><button style="color:white; padding: 10px 20px; background-color: #0088bd; border: none; font-size: 16px;">Create campaign segment</button></a></div> </div> row: 14 col: 18 width: 6 height: 6 - name: " (2)" type: text title_text: '' subtitle_text: '' body_text: |- **Recommended Action ?** These are our previously loyal customers in our segment, who have dropped off over the past year. Click the button on the right to create a campaign segment in Salesforce to prepare an email campaign for the CRM manager. row: 12 col: 0 width: 3 height: 8 - title: Customers for Reactivation Campaign name: Customers for Reactivation Campaign model: retail_block_model_v2 explore: transactions type: looker_grid fields: [customer_facts.customer_id, customer_facts.customer_spend_trend_past_year] filters: transactions.date_comparison_filter: 12 months customer_facts.customer_spend_trend_past_year: "[-1, -0.1]" sorts: [customer_facts.customer_spend_trend_past_year] limit: 500 query_timezone: America/Los_Angeles show_view_names: false show_row_numbers: true transpose: false truncate_text: true hide_totals: false hide_row_totals: false size_to_fit: true table_theme: white limit_displayed_rows: false enable_conditional_formatting: false header_text_alignment: left header_font_size: '12' rows_font_size: '12' conditional_formatting_include_totals: false conditional_formatting_include_nulls: false show_totals: true show_row_totals: true series_cell_visualizations: customer_facts.customer_spend_trend_past_year: is_active: true palette: palette_id: 50d44102-be13-bd23-eed2-8000589f3610 collection_id: f14810d2-98d7-42df-82d0-bc185a074e42 custom_colors: - "#ab2824" - "#ffffff" series_types: {} defaults_version: 1 listen: Customer Segment: customer_clustering_prediction.customer_segment row: 12 col: 3 width: 15 height: 8 - title: Potential Value from 10% Reactivation name: Potential Value from 10% Reactivation model: retail_block_model_v2 explore: transactions type: single_value fields: [transactions__line_items.total_sales] filters: transactions.date_comparison_filter: 12 months customer_facts.customer_spend_trend_past_year: "[-1, -0.1]" limit: 5000 column_limit: 50 dynamic_fields: [{table_calculation: reactivation_threshold, label: Reactivation Threshold, expression: '0.1', value_format: !!null '', value_format_name: !!null '', _kind_hint: dimension, _type_hint: number}, {table_calculation: potential_value, label: Potential Value, expression: "${transactions__line_items.total_sales}*${reactivation_threshold}", value_format: !!null '', value_format_name: currency_0, _kind_hint: measure, _type_hint: number}] custom_color_enabled: true show_single_value_title: true show_comparison: false comparison_type: value comparison_reverse_colors: false show_comparison_label: true enable_conditional_formatting: false conditional_formatting_include_totals: false conditional_formatting_include_nulls: false custom_color: "#49c244" show_view_names: false show_row_numbers: true transpose: false truncate_text: true hide_totals: false hide_row_totals: false size_to_fit: true series_cell_visualizations: customer_facts.customer_spend_trend_past_year: is_active: true palette: palette_id: retailer-scheme-diverging-0 collection_id: retailer-scheme table_theme: white limit_displayed_rows: false header_text_alignment: left header_font_size: '12' rows_font_size: '12' series_value_format: customer_facts.customer_id: name: id format_string: '0' label: ID map_plot_mode: automagic_heatmap heatmap_gridlines: false heatmap_gridlines_empty: false heatmap_opacity: 0.5 show_region_field: true draw_map_labels_above_data: true map_tile_provider: dark map_position: custom map_latitude: 37.96152331396614 map_longitude: -96.7236328125 map_zoom: 4 map_scale_indicator: 'off' map_pannable: true map_zoomable: true map_marker_type: circle map_marker_icon_name: default map_marker_radius_mode: proportional_value map_marker_units: meters map_marker_proportional_scale_type: linear map_marker_color_mode: fixed show_legend: true quantize_map_value_colors: false reverse_map_value_colors: false series_types: {} hidden_fields: [reactivation_threshold, transactions__line_items.total_sales] defaults_version: 1 listen: Customer Segment: customer_clustering_prediction.customer_segment row: 12 col: 18 width: 6 height: 2 - title: Customer Coverage - Favorite Store name: Customer Coverage - Favorite Store model: retail_block_model_v2 explore: transactions type: looker_map fields: [transactions__line_items.total_sales, customer_favorite_store_details.location, customer_favorite_store_details.name] filters: {} sorts: [transactions__line_items.total_sales desc] limit: 500 column_limit: 50 map_plot_mode: points heatmap_gridlines: false heatmap_gridlines_empty: false heatmap_opacity: 0.5 show_region_field: true draw_map_labels_above_data: true map_tile_provider: satellite_streets map_position: custom map_scale_indicator: 'off' map_pannable: true map_zoomable: true map_marker_type: circle map_marker_icon_name: default map_marker_radius_mode: proportional_value map_marker_units: pixels map_marker_proportional_scale_type: linear map_marker_color_mode: value show_view_names: false show_legend: true quantize_map_value_colors: false reverse_map_value_colors: false map_latitude: 37.87702138607635 map_longitude: 30.16433715820313 map_zoom: 2 map_marker_radius_min: 3 map_marker_radius_max: 10 defaults_version: 1 listen: Customer Segment: customer_clustering_prediction.customer_segment Date Range: transactions.date_comparison_filter row: 4 col: 0 width: 12 height: 8 - title: Customer Journey name: Customer Journey model: retail_block_model_v2 explore: transactions type: marketplace_viz_sankey::sankey-marketplace fields: [customer_transaction_sequence.main_product_category_transaction_1, customer_transaction_sequence.main_product_category_transaction_2, customer_transaction_sequence.main_product_category_transaction_3, customer_transaction_sequence.main_product_category_transaction_4, customer_transaction_sequence.main_product_category_transaction_5, transactions.number_of_transactions] filters: {} sorts: [transactions.number_of_transactions desc] limit: 500 column_limit: 50 hidden_fields: [] hidden_points_if_no: [] series_labels: {} show_view_names: false color_range: ["#dd3333", "#80ce5d", "#f78131", "#369dc1", "#c572d3", "#36c1b3", "#b57052", "#ed69af"] label_type: name show_null_points: false x_axis_gridlines: false y_axis_gridlines: true show_y_axis_labels: true show_y_axis_ticks: true y_axis_tick_density: default y_axis_tick_density_custom: 5 show_x_axis_label: true show_x_axis_ticks: true y_axis_scale_mode: linear x_axis_reversed: false y_axis_reversed: false plot_size_by_field: false trellis: '' stacking: '' limit_displayed_rows: false legend_position: center point_style: none show_value_labels: false label_density: 25 x_axis_scale: auto y_axis_combined: true ordering: none show_null_labels: false show_totals_labels: false show_silhouette: false totals_color: "#808080" defaults_version: 0 series_types: {} listen: Customer Segment: customer_clustering_prediction.customer_segment Date Range: transactions.date_comparison_filter row: 4 col: 12 width: 12 height: 8 filters: - name: Customer Segment title: Customer Segment type: field_filter default_value: New Joiners allow_multiple_values: false required: true ui_config: type: advanced display: popover model: retail_block_model_v2 explore: transactions listens_to_filters: [] field: customer_clustering_prediction.customer_segment - name: Date Range title: Date Range type: date_filter default_value: 30 days allow_multiple_values: true required: false ui_config: type: advanced display: popover
LookML
4
dbrinegar-4mile/block-retail
dashboards/customer_segment_deepdive.dashboard.lookml
[ "MIT" ]
= Pass query parameters to auth URLs The <tt>*_path</tt> and <tt>*_url</tt> methods allow passing additional query parameters: rodauth.create_account_path(type: "seller") #=> "/create-account?type=seller" rodauth.login_url(type: "operator") #=> "https//example.com/login?type=operator"
RDoc
4
dmitryzuev/rodauth
doc/guides/query_params.rdoc
[ "MIT" ]
#version 3.6; // Right-handed coordinate system in which the z-axis points upwards camera { orthographic location <8,11,-50> right 25*x*image_width/image_height up 25*y look_at <8,11,0> } // White background background{rgb 1} // Two lights with slightly different colors light_source{<-8,30,-20> color rgb <0.79,0.75,0.75>} light_source{<25,12,-12> color rgb <0.36,0.40,0.40>} // Radius of the Voronoi cell network #declare r=0.2; // Radius of the particles #declare s=2.8; union { sphere{<0,0,0>,1.4} pigment{rgbft <0.9,0.82,0.4>} finish{reflection 0.1 specular 0.3 ambient 0.42} } // Particles /*#declare s=2.8; union{ #include "doe_diagram_p.pov" pigment{rgbft <0.9,0.82,0.4,0,0.5>} finish{reflection 0.1 specular 0.3 ambient 0.42} } #declare s=1.4; union{ #include "doe_diagram_p.pov" pigment{rgbft <0.4,0.6,0.3>} finish{reflection 0.1 specular 0.3 ambient 0.42} }*/ // Voronoi cells /*intersection{ union{ #include "doe_diagram_v.pov" } box{<-2,-1,-4>,<18,23,4>} pigment{rgb <0.8,0.59,0.9>} finish{specular 0.5 ambient 0.42} }*/
POV-Ray SDL
3
softwarecapital/chr1shr.voro
2d/examples/basic/doe_diagram.pov
[ "BSD-3-Clause-LBNL" ]
(* * Copyright (c) Facebook, Inc. and its affiliates. * * This source code is licensed under the MIT license found in the * LICENSE file in the root directory of this source tree. *) (* A well known condition variable. When we need to exit, we will broadcast on it. This allows * various bits of code to wait for this signal and execute clean up code when it's received *) let signal = Lwt_condition.create ()
OCaml
4
esilkensen/flow
src/monitor/utils/exitSignal.ml
[ "MIT" ]
-- | -- The core functional representation -- module Language.PureScript.CoreFn ( module C ) where import Language.PureScript.AST.Literals as C import Language.PureScript.CoreFn.Ann as C import Language.PureScript.CoreFn.Binders as C import Language.PureScript.CoreFn.Desugar as C import Language.PureScript.CoreFn.Expr as C import Language.PureScript.CoreFn.Meta as C import Language.PureScript.CoreFn.Module as C import Language.PureScript.CoreFn.Optimizer as C import Language.PureScript.CoreFn.Traversals as C
Haskell
4
ethansaxenian/RosettaDecode
lang/Haskell/CoreFn.hs
[ "MIT" ]
'reach 0.1'; function sum(...xs) { return Array.reduce(array(UInt, xs), 0, add); } export const main = Reach.App( {}, [Participant('A', {})], (A) => { const x = sum(1, 2, 3, 4, 5); assert(x == 15); const y = (...all) => Array.reduce(array(UInt, all), 1, mul); assert(y(1, 2, 3) == 6); });
RenderScript
4
chikeabuah/reach-lang
hs/t/y/rest_parameter.rsh
[ "Apache-2.0" ]
-- @shouldFailWith PossiblyInfiniteCoercibleInstance module Main where import Safe.Coerce (coerce) newtype N a = N (a -> N a) infinite :: forall a b. N a -> N b infinite = coerce
PureScript
4
andys8/purescript
tests/purs/failing/PossiblyInfiniteCoercibleInstance.purs
[ "BSD-3-Clause" ]
(* * Copyright (c) Facebook, Inc. and its affiliates. * * This source code is licensed under the MIT license found in the * LICENSE file in the root directory of this source tree. *) type t val new_gcx : unit -> t val mark_ids_of_type : Context.t -> t -> Type.t -> Scope_id.t -> t val blame_ids_of_type : Context.t -> t -> Type.t -> Scope_id.t -> Reason.t -> t val add_scope_map : t -> Scope_id.t -> Loc_collections.ALocIDSet.t -> t val in_scope : t -> Scope_id.t -> ALoc.id -> bool val get_id_annotation_reason : t -> Type.ident -> Reason.t option val get_marked_ids : t -> Reason.t option IMap.t Scope_id.ScopeMap.t
OCaml
4
Hans-Halverson/flow
src/typing/generics/generic_cx.mli
[ "MIT" ]
@foo @file @bar @file: @:baz @fil:ann @ : package boo
Kotlin
0
qussarah/declare
compiler/testData/psi/annotation/targeted/onFile/nonFIleAnnotationBeforePackage.kt
[ "Apache-2.0" ]
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Mask
2
Interactml/iml_framework
Assets/ART/Malbers Animations/Animals Packs/Animations/Raven/Raven Head Mask.mask
[ "MIT" ]
// https://raw.githubusercontent.com/beefytech/Beef/5d5186f8127af4c670f76d7af7df735d3544a16d/IDE/dist/lib/gen/src/Program.bf #pragma warning disable 168 using System; using System; using System.Interop; using System.IO; using System.Threading; using System.Diagnostics; using System.Collections; namespace gen { class Program { static String[] sNames = new .[]("comdlg32", "gdi32", "kernel32", "ole32", "netapi32", "ntdll", "rpcrt4", "shell32", "user32", "version", "winmm") ~ delete _; public static int Main(String[] args) { bool isFirst = true; for (var name in sNames) { for (int pass < 2) { String resultStr = scope String(); // { ProcessStartInfo startInfo = scope .(); startInfo.SetFileName(@"c:\bin\dumpbin.exe"); if (pass == 0) startInfo.SetArguments(scope $"/exports c:\\windows\\system32\\{name}.dll"); else startInfo.SetArguments(scope $"/exports c:\\windows\\SysWow64\\{name}.dll"); startInfo.RedirectStandardOutput = true; startInfo.UseShellExecute = false; startInfo.RedirectStandardOutput = true; startInfo.CreateNoWindow = false; SpawnedProcess process = scope SpawnedProcess(); if (process.Start(startInfo) case .Err) continue; FileStream fileStream = scope FileStream(); process.AttachStandardOutput(fileStream); StreamReader streamReader = scope StreamReader(fileStream, null, false, 4096); streamReader.ReadToEnd(resultStr).IgnoreError(); if (process.ExitCode != 0) Runtime.FatalError(scope $"Failed to read lib '{name}'"); } var outStr = scope String(); outStr.Append("EXPORTS\n"); for (var line in resultStr.Split('\n')) { if ((line.Length > 26) && (line.StartsWith(" ")) && (line[25] == ' ') && (line[26] != '[')) { var exportStr = line.Substring(26); int fwdIdx = exportStr.IndexOf("(forwarded to"); if (fwdIdx != -1) { outStr.Append(exportStr.Substring(0, fwdIdx - 1)); outStr.Append(" = "); outStr.Append(exportStr.Substring(fwdIdx + 14, exportStr.Length - fwdIdx - 15)); } else { outStr.Append(exportStr); switch (exportStr) { case "DllMain", "DllGetClassObject", "DllCanUnloadNow", "DllRegisterServer", "DllUnregisterServer", "DllInstall": outStr.Append(" PRIVATE"); } } outStr.Append("\n"); } } File.WriteAllText(scope $"{name}.txt", outStr); // { ProcessStartInfo startInfo = scope .(); startInfo.SetFileName(@"c:\bin\lib.exe"); if (pass == 0) startInfo.SetArguments(scope $"/def:{name}.txt /machine:x64 /out:..\\x64\\{name}.lib"); else startInfo.SetArguments(scope $"/def:{name}.txt /machine:x64 /out:..\\x86\\{name}.lib"); startInfo.CreateNoWindow = false; SpawnedProcess process = scope SpawnedProcess(); if (process.Start(startInfo) case .Err) continue; process.WaitFor(); if (process.ExitCode != 0) Runtime.FatalError(scope $"Failed to generate lib '{name}'"); } } } return 0; } } }
Brainfuck
3
gammy55/linguist
samples/Beef/Program.bf
[ "MIT" ]
package test; @meta @interface MyAnn { } @meta class My { }
Java
1
qussarah/declare
compiler/testData/compileJavaAgainstKotlin/targets/annotation.java
[ "Apache-2.0" ]
(defmodule pattern-test (export all)) ;; Testing multiple recurring variables. (defun rv ;; Testing with cons and list. ([x (cons x xs)] (list 'c-1 x xs)) ([(cons x _) (cons x xs)] (list 'c-2 x xs)) ([(cons x _) (list x _)] (list 'c-3 x)) ([(list x x) (list x y)] (list 'c-4 x y)) ;; Testing with tuples. ([x (tuple x y z)] (list 't-1 x y z)) ([(tuple x _ _) (tuple x y z)] (list 't-2 x y z)) ([(tuple _ x x) (tuple x y z)] (list 't-3 x y z)) ;; Testing with both list and tuples. ([(list x _ _) (tuple x y z)] (list 'lt-1 x y z)) ([(list x _ z) (tuple x y z)] (list 'lt-2 x y z)) ([(cons x _) (tuple x y z)] (list 'lt-3 x y z)) ;; Catch all. ([x n] (list 'last x n))) ;; Testing aliases that match. (defun alias (x) (case x ((= (list a b) (cons h t)) (list 'c-1 a b h t)) (other (list 'last other))))
LFE
5
haetze/lfe
dev/pattern-test.lfe
[ "Apache-2.0" ]
set testmodule [file normalize tests/modules/mallocsize.so] start_server {tags {"modules"}} { r module load $testmodule test {MallocSize of raw bytes} { assert_equal [r mallocsize.setraw key 40] {OK} assert_morethan [r memory usage key] 40 } test {MallocSize of string} { assert_equal [r mallocsize.setstr key abcdefg] {OK} assert_morethan [r memory usage key] 7 ;# Length of "abcdefg" } test {MallocSize of dict} { assert_equal [r mallocsize.setdict key f1 v1 f2 v2] {OK} assert_morethan [r memory usage key] 8 ;# Length of "f1v1f2v2" } }
Tcl
4
cndoit18/redis
tests/unit/moduleapi/mallocsize.tcl
[ "BSD-3-Clause" ]
Format: Pe Little-endian 32-bit Kind: Executable Architecture: I386 Flags: Coff { characteristics: 102 } Relative Address Base: 400000 Entry Address: 4012e1 Segment { name: ".text", address: 401000, size: 104d3 } Segment { name: ".rdata", address: 412000, size: 6808 } Segment { name: ".data", address: 419000, size: 12f4 } Segment { name: ".reloc", address: 41b000, size: ec8 } 1: Section { name: ".text", address: 401000, size: 104d3, align: 1000, kind: Text, flags: Coff { characteristics: 60000020 } } 2: Section { name: ".rdata", address: 412000, size: 6808, align: 1000, kind: ReadOnlyData, flags: Coff { characteristics: 40000040 } } 3: Section { name: ".data", address: 419000, size: 12f4, align: 1000, kind: Data, flags: Coff { characteristics: c0000040 } } 4: Section { name: ".reloc", address: 41b000, size: ec8, align: 1000, kind: Other, flags: Coff { characteristics: 42000040 } } Symbols Dynamic symbols Import { library: "KERNEL32.dll", name: "QueryPerformanceCounter" } Import { library: "KERNEL32.dll", name: "GetCurrentProcessId" } Import { library: "KERNEL32.dll", name: "GetCurrentThreadId" } Import { library: "KERNEL32.dll", name: "GetSystemTimeAsFileTime" } Import { library: "KERNEL32.dll", name: "InitializeSListHead" } Import { library: "KERNEL32.dll", name: "IsDebuggerPresent" } Import { library: "KERNEL32.dll", name: "UnhandledExceptionFilter" } Import { library: "KERNEL32.dll", name: "SetUnhandledExceptionFilter" } Import { library: "KERNEL32.dll", name: "GetStartupInfoW" } Import { library: "KERNEL32.dll", name: "IsProcessorFeaturePresent" } Import { library: "KERNEL32.dll", name: "GetModuleHandleW" } Import { library: "KERNEL32.dll", name: "GetCurrentProcess" } Import { library: "KERNEL32.dll", name: "TerminateProcess" } Import { library: "KERNEL32.dll", name: "WriteConsoleW" } Import { library: "KERNEL32.dll", name: "RtlUnwind" } Import { library: "KERNEL32.dll", name: "GetLastError" } Import { library: "KERNEL32.dll", name: "SetLastError" } Import { library: "KERNEL32.dll", name: "EnterCriticalSection" } Import { library: "KERNEL32.dll", name: "LeaveCriticalSection" } Import { library: "KERNEL32.dll", name: "DeleteCriticalSection" } Import { library: "KERNEL32.dll", name: "InitializeCriticalSectionAndSpinCount" } Import { library: "KERNEL32.dll", name: "TlsAlloc" } Import { library: "KERNEL32.dll", name: "TlsGetValue" } Import { library: "KERNEL32.dll", name: "TlsSetValue" } Import { library: "KERNEL32.dll", name: "TlsFree" } Import { library: "KERNEL32.dll", name: "FreeLibrary" } Import { library: "KERNEL32.dll", name: "GetProcAddress" } Import { library: "KERNEL32.dll", name: "LoadLibraryExW" } Import { library: "KERNEL32.dll", name: "RaiseException" } Import { library: "KERNEL32.dll", name: "GetStdHandle" } Import { library: "KERNEL32.dll", name: "WriteFile" } Import { library: "KERNEL32.dll", name: "GetModuleFileNameW" } Import { library: "KERNEL32.dll", name: "ExitProcess" } Import { library: "KERNEL32.dll", name: "GetModuleHandleExW" } Import { library: "KERNEL32.dll", name: "GetCommandLineA" } Import { library: "KERNEL32.dll", name: "GetCommandLineW" } Import { library: "KERNEL32.dll", name: "HeapAlloc" } Import { library: "KERNEL32.dll", name: "HeapFree" } Import { library: "KERNEL32.dll", name: "CompareStringW" } Import { library: "KERNEL32.dll", name: "LCMapStringW" } Import { library: "KERNEL32.dll", name: "GetFileType" } Import { library: "KERNEL32.dll", name: "FindClose" } Import { library: "KERNEL32.dll", name: "FindFirstFileExW" } Import { library: "KERNEL32.dll", name: "FindNextFileW" } Import { library: "KERNEL32.dll", name: "IsValidCodePage" } Import { library: "KERNEL32.dll", name: "GetACP" } Import { library: "KERNEL32.dll", name: "GetOEMCP" } Import { library: "KERNEL32.dll", name: "GetCPInfo" } Import { library: "KERNEL32.dll", name: "MultiByteToWideChar" } Import { library: "KERNEL32.dll", name: "WideCharToMultiByte" } Import { library: "KERNEL32.dll", name: "GetEnvironmentStringsW" } Import { library: "KERNEL32.dll", name: "FreeEnvironmentStringsW" } Import { library: "KERNEL32.dll", name: "SetEnvironmentVariableW" } Import { library: "KERNEL32.dll", name: "SetStdHandle" } Import { library: "KERNEL32.dll", name: "GetStringTypeW" } Import { library: "KERNEL32.dll", name: "GetProcessHeap" } Import { library: "KERNEL32.dll", name: "FlushFileBuffers" } Import { library: "KERNEL32.dll", name: "GetConsoleOutputCP" } Import { library: "KERNEL32.dll", name: "GetConsoleMode" } Import { library: "KERNEL32.dll", name: "GetFileSizeEx" } Import { library: "KERNEL32.dll", name: "SetFilePointerEx" } Import { library: "KERNEL32.dll", name: "HeapSize" } Import { library: "KERNEL32.dll", name: "HeapReAlloc" } Import { library: "KERNEL32.dll", name: "CloseHandle" } Import { library: "KERNEL32.dll", name: "CreateFileW" } Import { library: "KERNEL32.dll", name: "DecodePointer" }
ObjDump
1
sunfishcode/object
crates/examples/testfiles/pe/base.exe.objdump
[ "Apache-2.0", "MIT" ]
GuardedOperation ================ Copyright (C) 2015, Bill Burdick, Roy Riggs, TEAM CTHULHU An operation with a set of "guarded" regions that can fail or cause other operations to fail if the guarded regions would be "concurrently" modified. Licensed with ZLIB license. ============================= This software is provided 'as-is', without any express or implied warranty. In no event will the authors be held liable for any damages arising from the use of this software. Permission is granted to anyone to use this software for any purpose, including commercial applications, and to alter it and redistribute it freely, subject to the following restrictions: 1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required. 2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software. 3. This notice may not be removed or altered from any source distribution. define ['./text-operation', './wrapped-operation'], (OT)-> { TextOperation WrappedOperation } = OT { isRetain isInsert isDelete transform } = TextOperation class GuardedOperation extends WrappedOperation constructor: (@original, @guards)-> conflictsWith: (operation)-> if operation instanceof WrappedOperation then operation = operation.wrapped nextGuardStart = @guards[0] nextGuardStop = @guards[1] guardPos = 2 cursor = 0 for op in operation.ops if isRetain op cursor += op while cursor >= nextGuardStop if guardPos >= @guards.length then return false nextGuardStart = @guards[guardPos++] nextGuardStop = @guards[guardPos++] else if isDelete op cursor -= op if nextGuardStart < cursor then return true else if nextGuardStart <= cursor < nextGuardStop then return true false toGuardOp: -> op = new TextOperation() cursor = 0 pos = 0 while pos < @guards.length start = @guards[pos++] end = @guards[pos++] if cursor < start then op.retain start - cursor op.insert 'x' if cursor < end then op.retain end - cursor op.insert 'x' if cursor < @baseLength then op.retain @baseLength - cursor op transform: (refOp)-> t = WrappedOperation.transform(@original, refOp)[0] guardOp = @toGuardOp() for conOp in concurrentOperations if conOp instanceof WrappedOperation then conOp = conOp.wrapped guardOp = transform guardOp, conOp new GuardedOperation t, guardsFromOp(guardOp) guardsFromOp = (op)-> newGuards = [] cursor = 0 pos = 0 while pos < op.ops.length if isRetain op then cursor += op else if isInsert op then newGuards.push cursor newGuards OT.GuardedOperation = GuardedOperation OT.RejectGuardedOperation = {} OT
Literate CoffeeScript
3
zot/Leisure
src/lib/ot/guarded-operation.litcoffee
[ "Zlib" ]
const NodeAttributes = require('../utils/node-attributes.js') module.exports = { meta: { docs: { description: 'Ensure preconnect is used with Google Fonts', recommended: true, url: 'https://nextjs.org/docs/messages/google-font-preconnect', }, }, create: function (context) { return { JSXOpeningElement(node) { if (node.name.name !== 'link') { return } const attributes = new NodeAttributes(node) if (!attributes.has('href') || !attributes.hasValue('href')) { return } const hrefValue = attributes.value('href') const preconnectMissing = !attributes.has('rel') || !attributes.hasValue('rel') || attributes.value('rel') !== 'preconnect' if ( typeof hrefValue === 'string' && hrefValue.startsWith('https://fonts.gstatic.com') && preconnectMissing ) { context.report({ node, message: `Preconnect is missing. See: https://nextjs.org/docs/messages/google-font-preconnect`, }) } }, } }, }
JavaScript
4
blomqma/next.js
packages/eslint-plugin-next/lib/rules/google-font-preconnect.js
[ "MIT" ]
<?php # vim:ft=php include 'jlex.php'; include 'svg-path.php'; %% %{ /* w/e */ %} %function nextToken D = [0-9] E = [Ee][+-]?{D}+ %% <YYINITIAL> [0|1] { return $this->createToken(A2S_SVGPathParser::TK_FLAG); } <YYINITIAL> [+]?{D}+ { return $this->createToken(A2S_SVGPathParser::TK_POSNUM); } <YYINITIAL> "-"{D}+ { return $this->createToken(A2S_SVGPathParser::TK_POSNUM); } <YYINITIAL> [+]?{D}*"."{D}+({E})? { return $this->createToken(A2S_SVGPathParser::TK_POSNUM); } <YYINITIAL> [+]?{D}+"."{D}*({E})? { return $this->createToken(A2S_SVGPathParser::TK_POSNUM); } <YYINITIAL> "-"{D}*"."{D}+({E})? { return $this->createToken(A2S_SVGPathParser::TK_POSNUM); } <YYINITIAL> "-"{D}+"."{D}*({E})? { return $this->createToken(A2S_SVGPathParser::TK_POSNUM); } <YYINITIAL> [M|m] { return $this->createToken(A2S_SVGPathParser::TK_MCMD); } <YYINITIAL> [Z|z] { return $this->createToken(A2S_SVGPathParser::TK_ZCMD); } <YYINITIAL> [L|l] { return $this->createToken(A2S_SVGPathParser::TK_LCMD); } <YYINITIAL> [H|h] { return $this->createToken(A2S_SVGPathParser::TK_HCMD); } <YYINITIAL> [V|v] { return $this->createToken(A2S_SVGPathParser::TK_VCMD); } <YYINITIAL> [Q|q] { return $this->createToken(A2S_SVGPathParser::TK_QCMD); } <YYINITIAL> [C|c] { return $this->createToken(A2S_SVGPathParser::TK_CCMD); } <YYINITIAL> [S|s] { return $this->createToken(A2S_SVGPathParser::TK_SCMD); } <YYINITIAL> [T|t] { return $this->createToken(A2S_SVGPathParser::TK_TCMD); } <YYINITIAL> [A|a] { return $this->createToken(A2S_SVGPathParser::TK_ACMD); } <YYINITIAL> [ ,\t\v\n\f\r] { } . { }
Lex
4
JailbreakFox/LightWeightRepository
ZeroMQ/filecode/bin/asciitosvg/svg-path.lex
[ "BSD-2-Clause" ]
img, svg { max-width: 100%; display: block; margin-left: auto; margin-right: auto; } img.inline display: inline; .nav-item .icon.outbound { display: none !important; } .navbar { box-shadow: 0px 1px 10px 0px rgba(221,221,221,0.1); top: 0px; position: fixed; z-index: 222; width:100%; padding-right: 0; border-bottom: 0px solid; border-color: lightgrey; /*box-shadow: 0px 1px 10px 0px rgba(255,255,255,0.8); #white version*/ } .navbar .container { max-width: 2000px; } .home-link { font-size: 2em; } .nav-links { font-size: 1.1em; margin: 0px 14px 0px 12px; } .nav-item a:hover { background-color: #eeeeee55; color: black; box-shadow: 0px 3px 0px -1px #206287; /*amai blau 206287, neon blau 206287*/ } /* Style the active/current link*/ .nav-item .router-link-active { border-bottom: 0 !important; box-shadow: 0px 6px 0px -1px #206287; color: black; font-weight: bold; font-family: "DM Mono", -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif; } .nav-link, .repo-link { padding: 0.5em 0.5em; } @media only screen and (max-width: 720px) { .nav-links, .nav-item { margin-left: 0; padding-left:0 !important; } .nav-link { padding: 0.35rem 1rem 0.35rem 1.25rem; } .nav-item .router-link-active { box-shadow: 0 0 0 0 #ffffffff; border-left: 0.25rem solid #1f6286; } .repo-link { margin-left:0; padding: 0.35rem 1rem 0.35rem 1.25rem !important; } }
Stylus
4
TheEssenceSentry/AI-Expert-Roadmap
.vuepress/styles/index.styl
[ "MIT" ]
class Out<out T> class In<in Z> interface A<T, E> { fun foo1(x: Out<T>): Out<T> fun foo2(x: In<E>): In<E> var prop: Out<T> } // method: A::foo1 // generic signature: (LOut<+TT;>;)LOut<TT;>; // method: A::foo2 // generic signature: (LIn<-TE;>;)LIn<TE;>; // method: A::getProp // generic signature: ()LOut<TT;>; // method: A::setProp // generic signature: (LOut<+TT;>;)V abstract class B : A<String, Any?> { override final fun foo1(x: Out<String>): Out<String> = null!! override final fun foo2(x: In<Any?>): In<Any?> = null!! override final var prop: Out<String> = null!! } // method: B::foo1 // generic signature: (LOut<Ljava/lang/String;>;)LOut<Ljava/lang/String;>; // method: B::foo2 // generic signature: (LIn<Ljava/lang/Object;>;)LIn<Ljava/lang/Object;>; // method: B::getProp // generic signature: ()LOut<Ljava/lang/String;>; // method: B::setProp // generic signature: (LOut<Ljava/lang/String;>;)V
Kotlin
3
qussarah/declare
compiler/testData/writeSignature/declarationSiteVariance/GenericOverrides.kt
[ "Apache-2.0" ]
/* bright */ .gradient-bg { background: linear-gradient(338.96deg, rgba(0, 0, 0, 0.2) -18.99%, rgba(0, 0, 0, 0) 25.34%), linear-gradient(300.08deg, #53ffb1 7.6%, #3ecf8e 64.93%); /* transform: rotate(-89.79deg); */ }
CSS
3
ProPiloty/supabase
www/components/Carousels/ImageCarousel.module.css
[ "Apache-2.0" ]
Rectangle { #origin : Point [ -40, -15 ], #corner : Point [ 60, 35 ] }
STON
2
JavascriptID/sourcerer-app
src/test/resources/samples/langs/STON/Rectangle.ston
[ "MIT" ]
"use strict"; var _interopRequireDefault = require("@babel/runtime/helpers/interopRequireDefault"); Object.defineProperty(exports, "__esModule", { value: true }); exports.default = void 0; var _createSvgIcon = _interopRequireDefault(require("./utils/createSvgIcon")); var _jsxRuntime = require("react/jsx-runtime"); var _default = (0, _createSvgIcon.default)( /*#__PURE__*/(0, _jsxRuntime.jsx)("path", { d: "M10.91 8.08 6.53 3.7C7.6 3.25 8.77 3 10 3c1.56 0 3.03.4 4.3 1.1l-3.39 3.98zm10.28 13.11-4.78-4.78-5.75-5.75-7.85-7.85-1.42 1.41 7.97 7.97L5.27 17h8.9l1.13 1.13c-.88.33-1.47 1.25-1.26 2.28.15.76.78 1.39 1.54 1.54 1.03.21 1.95-.38 2.28-1.26l1.91 1.91 1.42-1.41zM6 18c-1.1 0-2 .9-2 2s.9 2 2 2 2-.9 2-2-.9-2-2-2zM17 6.27c.58-.68.97-1.27 1.65-1.27.77 0 1.35.66 1.35 1.48V7h2v-.52C22 4.56 20.52 3 18.65 3c-1.66 0-2.54 1.27-3.18 2.03l-3.5 4.11L17 14.17v-7.9z" }), 'NoStrollerSharp'); exports.default = _default;
JavaScript
4
good-gym/material-ui
packages/material-ui-icons/lib/NoStrollerSharp.js
[ "MIT" ]
.free-scroll-container &.view position fixed!important .core-container .scroll-wrapper height 400px position relative overflow hidden .scroll-item height 50px line-height 50px font-size 24px font-weight bold border-bottom 1px solid #eee text-align center &:nth-child(2n) background-color #f3f5f7 &:nth-child(2n+1) background-color #42b983 .horizontal-container .scroll-wrapper position relative width 90% margin 80px auto white-space nowrap border 3px solid #42b983 border-radius 5px overflow hidden .scroll-content display inline-block .scroll-item height 50px line-height 50px font-size 24px display inline-block text-align center padding 0 10px .core-dynamic-content-container text-align center .scroll-wrapper height 300px overflow hidden .scroll-item height 50px line-height 50px font-size 24px font-weight bold border-bottom 1px solid #eee text-align center &:nth-child(2n) background-color #f3f5f7 &:nth-child(2n+1) background-color #42b983 .btn margin 40px auto padding 10px color #fff!important border-radius 4px font-size 20px background-color #666!important .core-specified-content-container text-align center .scroll-wrapper height 400px overflow hidden border 1px solid #42b983 .ignore-content padding 20px color white font-size 20px font-weight bold background-color #2c3e50 .scroll-item height 50px line-height 50px font-size 24px font-weight bold border-bottom 1px solid #eee text-align center &:nth-child(2n) background-color #f3f5f7 &:nth-child(2n+1) background-color #42b983 .free-scroll-container position: relative width: 100% height: 100% .free-scroll-wrapper position: relative width: 100% height: 100% border: 1px solid rgb(96, 108, 113) box-sizing: border-box .scroll-wrapper position: absolute top: 0 left: 0 right: 0 bottom: 0 overflow: hidden .scroll-content background-color: #efeff4 width: 1500px height: 1000px p font-size: 16px padding: 20px line-height: 200% margin: 0 .vertical-rotated-container .description text-align center .scroll-wrapper height 250px width 100px position relative overflow hidden margin 0 auto border 1px solid #ccc transform rotate(90deg) .scroll-item height 100px width 100px line-height 100px font-size 24px font-weight bold text-align center &:nth-child(2n) background-color #f3f5f7 &:nth-child(2n+1) background-color #42b983 .horizontal-rotated-container .description margin-bottom 40px text-align center .scroll-wrapper height 100px width 250px position relative overflow hidden white-space nowrap margin 0 auto border 1px solid #ccc transform rotate(180deg) .scroll-content display inline-block .scroll-item height 100px width 100px line-height 100px font-size 24px font-weight bold text-align center display inline-block &:nth-child(2n) background-color #f3f5f7 &:nth-child(2n+1) background-color #42b983
Stylus
3
cym2050/better-scroll
packages/react-examples/src/pages/core/index.styl
[ "MIT" ]
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9-slim WORKDIR /app RUN apt update COPY requirements.txt ./ RUN pip install --no-cache-dir -r requirements.txt COPY ./app ./app
Dockerfile
4
malywonsz/awesome-compose
fastapi/Dockerfile
[ "CC0-1.0" ]
module Svc { @ Fatal announce port with FATAL Event ID port FatalEvent( Id: FwEventIdType @< The ID of the FATAL event ) }
FORTRAN
3
AlperenCetin0/fprime
Svc/Fatal/Fatal.fpp
[ "Apache-2.0" ]
cat apache_header.txt $1 > _add_apache_header.txt && mv _add_apache_header.txt $1
Shell
2
Hacky-DH/pytorch
scripts/add_apache_header.sh
[ "Intel" ]
/* * Copyright (c) 2015, Technische Universitaet Berlin * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * - Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * - Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the * distribution. * - Neither the name of the copyright holders nor the names of * its contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL * THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, * INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, * STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED * OF THE POSSIBILITY OF SUCH DAMAGE. */ /* * author: Tim Bormann (bormann@tkn.tu-berlin.de) */ #include <MMAC.h> #include <Ieee154.h> module TestC { uses interface Boot; uses interface Timer<TMilli> as SendTimer; uses interface Timer<TMilli> as LedFlashTimer; uses interface Leds; uses interface SplitControl; uses interface Send; uses interface Receive; uses interface Jn516PacketBody; uses interface Ieee154Address; } implementation { #define SEND_INTERVAL 1000 uint8_t seqno = 0; message_t tx_msg; event void Boot.booted() { jn516_header_t *tx_hdr = call Jn516PacketBody.getHeader(&tx_msg); uint8_t* tx_payload; tx_hdr->length = 15; tx_hdr->fcf = 0x8841; tx_hdr->destpan = call Ieee154Address.getPanId(); tx_hdr->dest = call Ieee154Address.getShortAddr(); tx_hdr->src = call Ieee154Address.getShortAddr(); tx_payload = call Jn516PacketBody.getPayload(&tx_msg); tx_payload[0] = 0xca; tx_payload[1] = 0xfe; tx_payload[2] = 0xba; tx_payload[3] = 0xbe; call SplitControl.start(); } event void SplitControl.startDone(error_t error) { call SendTimer.startPeriodic(SEND_INTERVAL); } event void SendTimer.fired() { jn516_header_t *tx_hdr = call Jn516PacketBody.getHeader(&tx_msg); seqno++; tx_hdr->dsn = seqno; call Send.send(&tx_msg,4); call Leds.led0Off(); } event void Send.sendDone(message_t* msg, error_t error) { } event message_t* Receive.receive(message_t* msg, void* payload, uint8_t len) { bool correct = TRUE; jn516_header_t *rx_hdr = call Jn516PacketBody.getHeader(msg); uint8_t* rx_payload = call Jn516PacketBody.getPayload(msg); call Leds.led0Off(); if (rx_hdr->length != 15) correct = FALSE; if (rx_hdr->fcf != 0x8841) correct = FALSE; if (rx_hdr->destpan != call Ieee154Address.getPanId()) correct = FALSE; if (rx_hdr->dest != call Ieee154Address.getShortAddr()) correct = FALSE; if (rx_hdr->src != call Ieee154Address.getShortAddr()) correct = FALSE; if (rx_payload[0] != 0xca) correct = FALSE; if (rx_payload[1] != 0xfe) correct = FALSE; if (rx_payload[2] != 0xba) correct = FALSE; if (rx_payload[3] != 0xbe) correct = FALSE; if (correct) { call Leds.led0On(); call LedFlashTimer.startOneShot(100); } return msg; } event void LedFlashTimer.fired() { call Leds.led0Off(); } event void SplitControl.stopDone(error_t error) {} event void Ieee154Address.changed() {} }
nesC
5
tgtakaoka/tinyos-prod
apps/jennic-tests/radio/Ieee154Bare/TestC.nc
[ "BSD-3-Clause" ]
#version 450 #extension GL_ARB_sparse_texture2 : require struct ResType { uint _m0; vec4 _m1; }; layout(binding = 0) uniform sampler2D uSamp; layout(location = 0) in vec2 vUV; void main() { uint _30; vec4 _31; _30 = sparseTextureARB(uSamp, vUV, _31); ResType _26 = ResType(_30, _31); vec4 texel = _26._m1; bool ret = sparseTexelsResidentARB(int(_26._m0)); }
GLSL
3
js6i/SPIRV-Cross
reference/shaders-no-opt/asm/frag/sparse-texture-feedback-uint-code.asm.desktop.frag
[ "Apache-2.0" ]
:noheader: = Spring Framework Documentation [horizontal] <<overview.adoc#overview, Overview>> :: history, design philosophy, feedback, getting started. <<core.adoc#spring-core, Core>> :: IoC Container, Events, Resources, i18n, Validation, Data Binding, Type Conversion, SpEL, AOP. <<testing.adoc#testing, Testing>> :: Mock Objects, TestContext Framework, Spring MVC Test, WebTestClient. <<data-access.adoc#spring-data-tier, Data Access>> :: Transactions, DAO Support, JDBC, R2DBC, O/R Mapping, XML Marshalling. <<web.adoc#spring-web, Web Servlet>> :: Spring MVC, WebSocket, SockJS, STOMP Messaging. <<web-reactive.adoc#spring-webflux, Web Reactive>> :: Spring WebFlux, WebClient, WebSocket, RSocket. <<integration.adoc#spring-integration, Integration>> :: Remoting, JMS, JCA, JMX, Email, Tasks, Scheduling, Caching. <<languages.adoc#languages, Languages>> :: Kotlin, Groovy, Dynamic Languages. <<appendix.adoc#appendix, Appendix>> :: Spring properties. https://github.com/spring-projects/spring-framework/wiki[*Wiki*] :: What's New, Upgrade Notes, Supported Versions, and other cross-version information. ifdef::backend-html5[] NOTE: This documentation is also available as {docs-spring-framework}/reference/pdf/index.pdf[PDF]. endif::[] ifdef::backend-pdf[] NOTE: This documentation is also available as {docs-spring-framework}/reference/html/index.html[HTML]. endif::[] Rod Johnson, Juergen Hoeller, Keith Donald, Colin Sampaleanu, Rob Harrop, Thomas Risberg, Alef Arendsen, Darren Davison, Dmitriy Kopylenko, Mark Pollack, Thierry Templier, Erwin Vervaet, Portia Tung, Ben Hale, Adrian Colyer, John Lewis, Costin Leau, Mark Fisher, Sam Brannen, Ramnivas Laddad, Arjen Poutsma, Chris Beams, Tareq Abedrabbo, Andy Clement, Dave Syer, Oliver Gierke, Rossen Stoyanchev, Phillip Webb, Rob Winch, Brian Clozel, Stephane Nicoll, Sebastien Deleuze, Jay Bryant, Mark Paluch Copyright © 2002 - 2021 Pivotal, Inc. All Rights Reserved. Copies of this document may be made for your own use and for distribution to others, provided that you do not charge any fee for such copies and further provided that each copy contains this Copyright Notice, whether distributed in print or electronically.
AsciiDoc
1
spreoW/spring-framework
src/docs/asciidoc/index.adoc
[ "Apache-2.0" ]
using Uno; using Uno.Collections; using Uno.Compiler.ExportTargetInterop; namespace Fuse.Scripting.V8 { [Require("Header.Include", "include/V8Simple.h")] internal extern(USE_V8) class Object: Scripting.Object { [WeakReference] readonly Context _context; internal readonly Simple.JSObject _object; internal Simple.JSObject GetJSObject(AutoReleasePool pool) { _object.AsValue().Retain(_context._context); return pool.AutoRelease(_object); } public Object(Context context, Simple.JSObject obj) { _context = context; _object = obj; _object.AsValue().Retain(_context._context); } ~Object() { if (_context != null && !_context.IsDisposed) _object.AsValue().Release(_context._context); } public override object this[string key] { get { var cxt = _context._context; object result = null; using (var pool = new AutoReleasePool(cxt)) using (var vm = new Context.EnterVM(_context)) result = Marshaller.Wrap(_context, _object.GetProperty(cxt, key, pool, _context._errorHandler)); _context.ThrowPendingExceptions(); return result; } set { var cxt = _context._context; using (var pool = new AutoReleasePool(cxt)) using (var vm = new Context.EnterVM(_context)) _object.SetProperty(cxt, key, Marshaller.Unwrap(_context, value, pool), pool, _context._errorHandler); _context.ThrowPendingExceptions(); } } public override string[] Keys { get { var cxt = _context._context; string[] result = null; using (var pool = new AutoReleasePool(cxt)) using (var vm = new Context.EnterVM(_context)) { var keys = _object.GetOwnPropertyNames(cxt, pool, _context._errorHandler); int len = keys.Length(cxt); result = new string[len]; for (int i = 0; i < len; ++i) { var prop = keys.GetProperty(cxt, i, pool, _context._errorHandler); var wrappedProp = Marshaller.Wrap(_context, prop); var strProp = wrappedProp as string; if (strProp == null) strProp = wrappedProp.ToString(); result[i] = strProp; } } _context.ThrowPendingExceptions(); return result; } } public override bool InstanceOf(Scripting.Context context, Scripting.Function type) { if (context != _context) throw new ArgumentException("Inconsistent context", nameof(context)); var f = type as Function; return (bool)_context._instanceOf.Call(_context, this, type); } public override bool InstanceOf(Scripting.Function type) { return InstanceOf(_context, type); } public override object CallMethod(Scripting.Context context, string name, params object[] args) { if (context != _context) throw new ArgumentException("Inconsistent context", nameof(context)); var cxt = _context._context; object result = null; using (var pool = new AutoReleasePool(cxt)) using (var vm = new Context.EnterVM(_context)) { var fun = Marshaller.Wrap(_context, _object.GetProperty(cxt, name, pool, _context._errorHandler)) as Function; if (fun == null) throw new Scripting.Error("No such method: " + fun); var unwrappedArgs = Marshaller.UnwrapArray(_context, args, pool); result = Marshaller.Wrap(_context, fun.GetJSFunction(pool).Call(cxt, _object, unwrappedArgs, pool, _context._errorHandler)); } _context.ThrowPendingExceptions(); return result; } public override object CallMethod(string name, params object[] args) { return CallMethod(_context, name, args); } public override bool ContainsKey(string key) { var cxt = _context._context; bool result = false; using (var pool = new AutoReleasePool(cxt)) using (var vm = new Context.EnterVM(_context)) result = _object.HasProperty(cxt, key, pool, _context._errorHandler); _context.ThrowPendingExceptions(); return result; } public override bool Equals(Scripting.Object o) { var that = o as Object; return that != null && _object.Equals(that._object); } public override int GetHashCode() { return _object.GetHashCode(); } } }
Uno
4
helilabs/fuselibs
Source/Fuse.Scripting.JavaScript/V8/Object.uno
[ "MIT" ]
#+TITLE: ui/unicode #+DATE: June 8, 2020 #+SINCE: v2.0 #+STARTUP: inlineimages nofold * Table of Contents :TOC_3:noexport: - [[#description][Description]] - [[#maintainers][Maintainers]] - [[#module-flags][Module Flags]] - [[#plugins][Plugins]] - [[#prerequisites][Prerequisites]] - [[#features][Features]] - [[#configuration][Configuration]] - [[#getting-fonts-with-good-coverage][Getting fonts with good coverage]] - [[#advanced-configuration][Advanced configuration]] - [[#troubleshooting][Troubleshooting]] - [[#emacs-daemon-mode][Emacs daemon mode]] * Description This module extends Doom's ability to display non-English unicode. It is primarily useful for non-English Emacs users, for whom Doom's built-in unicode support in insufficient. This module relies on the [[https://github.com/rolandwalker/unicode-fonts][unicode-fonts]] package. It tries to setup the default emacs fontset to cover as many unicode glyphs as possible by scanning all available glyphs from all available fonts. When this module is enabled... + Emacs will prefer to use the ~doom-unicode-font~ font to display non-latin glyphs if it provides coverage for them. + The first time you run Emacs a unicode cache will be generated -- this will take a while! + The cache will be regenerated every time Emacs is made aware of new fonts or you change the font configuration e.g. by modifying ~doom-unicode-font~. + The cache will be stored and should not be regenerated unless font-related configuration or the versions of relevant packages changes. ** Maintainers This module has no dedicated maintainers. ** Module Flags This module provides no flags. ** Plugins + [[https://github.com/rolandwalker/unicode-fonts][unicode-fonts]] * Prerequisites This module has no prerequisites. * Features # An in-depth list of features, how to use them, and their dependencies. * Configuration The first font that will be analyzed to see if it contains the glyphs of non-latin characters will be ~doom-unicode-font~. To set this font place #+BEGIN_SRC elisp (setq doom-unicode-font (font-spec :family "Fira Mono")) #+END_SRC in your private =config.el= file. If your ~doom-font~ provides good unicode coverage you just set #+BEGIN_SRC elisp (setq doom-unicode-font doom-font) #+END_SRC If your font does not provide some glyphs, this package will try its best to find another font that does. ** Getting fonts with good coverage A list of fonts with good unicode coverage can be found on the page of the [[https://github.com/rolandwalker/unicode-fonts#minimum-useful-fonts][unicode-fonts]] package. ** Advanced configuration Consult the [[https://github.com/rolandwalker/unicode-fonts][unicode-fonts]] package documentation for a description of more advanced configuration. The configuration should be placed, as usual, in your private =config.el= wrapped in an ~(after! unicode-fonts)~ block. The variable ~unicode-fonts-blocks~ contains a list of all unicode block names and their character ranges. The default fonts to search for glyphs are in the variable ~unicode-fonts-block-font-mapping~. If you want to use the font =Symbola= for =Miscellaneous Symbols= by default you could add #+BEGIN_SRC elisp (after! unicode-fonts (push "Symbola" (cadr (assoc "Miscellaneous Symbols" unicode-fonts-block-font-mapping)))) #+END_SRC to your =config.el=. If you want to redefine several blocks an efficient way would be #+BEGIN_SRC elisp (after! unicode-fonts (dolist (unicode-block '("Mathematical Alphanumeric Symbols" "Mathematical Operators" "Miscellaneous Mathematical Symbols-A" "Miscellaneous Mathematical Symbols-B" "Miscellaneous Symbols" "Miscellaneous Symbols and Arrows" "Miscellaneous Symbols and Pictographs")) (push "DejaVu Math TeX Gyre" (cadr (assoc unicode-block unicode-fonts-block-font-mapping))))) #+END_SRC You can find a list of fonts available to emacs using ~M-x counsel-fonts~. * Troubleshooting # Common issues and their solution, or places to look for help. ** TODO Emacs daemon mode Currently this module may fail setup fonts when emacs is run in daemon mode. See [[https://github.com/hlissner/doom-emacs/issues/3328][Bug 3328]].
Org
5
leezu/doom-emacs
modules/ui/unicode/README.org
[ "MIT" ]
--TEST-- Bug #48428 (crash when exception is thrown while passing function arguments) --FILE-- <?php try { function x() { throw new Exception("ERROR"); } x(x()); } catch(Exception $e) { echo($e -> getMessage()); } ?> --EXPECT-- ERROR
PHP
3
thiagooak/php-src
Zend/tests/bug48428.phpt
[ "PHP-3.01" ]
<?xml version="1.0" encoding="ISO-8859-1" ?> <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"> <xsl:output method='html' version='1.0' encoding='UTF-8' indent='yes' /> <xsl:variable name="main_menu" select="/htmlhelp_toc/main_menu_file"/> <xsl:variable name="docs" select="/htmlhelp_toc/docs_folder"/> <xsl:variable name="show_include_file" select="/htmlhelp_toc/show_include_file"/> <!-- ************************************************************************* --> <xsl:variable name="lcletters">abcdefghijklmnopqrstuvwxyz </xsl:variable> <xsl:variable name="ucletters">ABCDEFGHIJKLMNOPQRSTUVWXYZ </xsl:variable> <!-- ************************************************************************* --> <xsl:template match="/htmlhelp_toc"> <HTML> <HEAD> </HEAD><BODY> <UL> <xsl:apply-templates select="document($main_menu)/doc/menu"/> </UL> </BODY></HTML> </xsl:template> <!-- ************************************************************************* --> <xsl:template match="section"> <xsl:param name="html_file" /> <xsl:param name="xml_file" /> <xsl:choose> <xsl:when test="count(/doc/menu/top/section) != 1"> <LI> <OBJECT type="text/sitemap"> <param name="Name" value="{name}"/> </OBJECT> </LI> <UL> <xsl:for-each select="item | chm/item"> <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> <xsl:apply-templates select="."> <xsl:with-param name="xml_file" select="$xml_file"/> <xsl:with-param name="html_file" select="$html_file"/> </xsl:apply-templates> </xsl:for-each> </UL> </xsl:when> <xsl:otherwise> <xsl:for-each select="item | chm/item"> <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> <xsl:apply-templates select="."> <xsl:with-param name="xml_file" select="$xml_file"/> <xsl:with-param name="html_file" select="$html_file"/> </xsl:apply-templates> </xsl:for-each> </xsl:otherwise> </xsl:choose> </xsl:template> <!-- ************************************************************************* --> <xsl:template match="menu"> <xsl:param name="html_file" /> <xsl:param name="xml_file" /> <xsl:for-each select="top/section"> <xsl:apply-templates select="."> <xsl:with-param name="xml_file" select="$xml_file"/> <xsl:with-param name="html_file" select="$html_file"/> </xsl:apply-templates> </xsl:for-each> </xsl:template> <!-- ************************************************************************* --> <xsl:template match="item"> <xsl:param name="html_file" /> <xsl:param name="xml_file" /> <xsl:choose> <xsl:when test="name != ''"> <LI><OBJECT type="text/sitemap"> <param name="Name" value="{name}"/> <xsl:choose> <xsl:when test="link"> <param name="Local" value="{$docs}\{link}"/> </xsl:when> <xsl:when test="@nolink = 'true'"> </xsl:when> <xsl:otherwise> <param name="Local" value="{$docs}\{$html_file}#{name}"/> </xsl:otherwise> </xsl:choose> </OBJECT> </LI> <xsl:choose> <xsl:when test="sub"> <UL> <xsl:for-each select="sub/item"> <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> <xsl:apply-templates select="."> <xsl:with-param name="xml_file" select="$xml_file"/> <xsl:with-param name="html_file" select="$html_file"/> </xsl:apply-templates> </xsl:for-each> </UL> </xsl:when> <xsl:when test="chm_sub"> <UL> <xsl:apply-templates select="document(chm_sub)/doc/menu"> <xsl:with-param name="xml_file" select="chm_sub"/> <xsl:with-param name="html_file" select="link"/> </xsl:apply-templates> </UL> </xsl:when> </xsl:choose> </xsl:when> <xsl:when test="@nolink = 'true'"> </xsl:when> <xsl:otherwise> <LI><OBJECT type="text/sitemap"> <param name="Name" value="{.}"/> <param name="Local" value="{$docs}\{$html_file}#{.}"/> </OBJECT> </LI> <xsl:variable name="cname" select="."/> <xsl:for-each select="document($xml_file)/doc/components/component"> <xsl:if test="name = $cname"> <UL> <xsl:if test="spec_file"> <xsl:choose> <xsl:when test="spec_file/@link = 'true'"> <LI> <OBJECT type="text/sitemap"> <param name="Name" value="specification"/> <param name="Local" value="{$docs}\{spec_file}.html#{name}"/> </OBJECT> </LI> </xsl:when> <xsl:otherwise> <LI> <OBJECT type="text/sitemap"> <param name="Name" value="specification"/> <param name="Local" value="{$docs}\{spec_file}.html"/> </OBJECT> </LI> </xsl:otherwise> </xsl:choose> </xsl:if> <xsl:if test="$show_include_file = 'true'"> <xsl:if test="file"> <xsl:choose> <xsl:when test="spec_file/@link = 'true' "> <LI> <OBJECT type="text/sitemap"> <param name="Name" value="include file"/> <param name="Local" value="{$docs}\{file}.html"/> </OBJECT> </LI> </xsl:when> <xsl:when test="spec_file != file"> <LI> <OBJECT type="text/sitemap"> <param name="Name" value="include file"/> <param name="Local" value="{$docs}\{file}.html"/> </OBJECT> </LI> </xsl:when> </xsl:choose> </xsl:if> </xsl:if> <xsl:if test="body_file"> <LI> <OBJECT type="text/sitemap"> <param name="Name" value="body"/> <param name="Local" value="{$docs}\{body_file}.html#{name}"/> </OBJECT> </LI> </xsl:if> <xsl:if test="extensions"> <LI> <OBJECT type="text/sitemap"> <param name="Name" value="extensions"/> </OBJECT> </LI> <UL> <xsl:for-each select="extensions/extension"> <LI> <OBJECT type="text/sitemap"> <param name="Name" value="{name}"/> <param name="Local" value="{$docs}\{spec_file}.html"/> </OBJECT> </LI> </xsl:for-each> </UL> </xsl:if> </UL> </xsl:if> </xsl:for-each> </xsl:otherwise> </xsl:choose> </xsl:template> <!-- ************************************************************************* --> <xsl:template match="sub"> <ul> <xsl:for-each select="item"> <xsl:sort select="translate(concat(name,.),$lcletters, $ucletters)"/> <xsl:apply-templates select="."/> </xsl:for-each> </ul> </xsl:template> <!-- ************************************************************************* --> </xsl:stylesheet>
XSLT
4
yatonon/dlib-face
docs/docs/chm/htmlhelp_stylesheet.xsl
[ "BSL-1.0" ]
class Class1 : GLib.Object { public void hello() { var c2 = new Class2(); c2.hello(); } }
Vala
2
kira78/meson
test cases/vala/2 multiple files/class1.vala
[ "Apache-2.0" ]
namespace OpenAPI open PetApiHandlerParams open System open Microsoft.AspNetCore.Http module PetApiServiceInterface = //#region Service interface type IPetApiService = abstract member AddPet : AddPetBodyParams -> AddPetResult abstract member DeletePet : unit -> DeletePetResult abstract member FindPetsByStatus : unit -> FindPetsByStatusResult abstract member FindPetsByTags : unit -> FindPetsByTagsResult abstract member GetPetById : unit -> GetPetByIdResult abstract member UpdatePet : UpdatePetBodyParams -> UpdatePetResult abstract member UpdatePetWithForm : unit -> UpdatePetWithFormResult abstract member UploadFile : unit -> UploadFileResult //#endregion
F#
4
MalcolmScoffable/openapi-generator
samples/server/petstore/fsharp-functions/OpenAPI/src/api/PetApiServiceInterface.fs
[ "Apache-2.0" ]
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F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (pad 1 thru_hole oval (at 0 0) (size 0.78 1.1) (drill 0.7) (layers *.Cu *.Mask F.SilkS) (net 5 GND)) ) (module footprints:QSOP-24_3.9x8.7mm_Pitch0.635mm_fat (layer F.Cu) (tedit 571C16FD) (tstamp 571C25E8) (at 60.385 37.35 180) (descr "SSOP24: plastic shrink small outline package; 24 leads; body width 3.9 mm; lead pitch 0.635; (see NXP SSOP-TSSOP-VSO-REFLOW.pdf and sot556-1_po.pdf)") (tags "SSOP 0.635") (path /5705BC18) (attr smd) (fp_text reference E0 (at 0 -0.15 180) (layer F.SilkS) (effects (font (size 1 1) (thickness 0.15))) ) (fp_text value EFM8UB1_24pin (at 0 5.4 180) (layer F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (fp_line (start -3.45 -4.65) (end -3.45 4.65) (layer F.CrtYd) (width 0.05)) (fp_line (start 3.45 -4.65) (end 3.45 4.65) (layer F.CrtYd) (width 0.05)) (fp_line (start -3.45 -4.65) (end 3.45 -4.65) (layer F.CrtYd) (width 0.05)) (fp_line (start -3.45 4.65) (end 3.45 4.65) (layer F.CrtYd) (width 0.05)) (fp_line (start -2.075 -4.475) (end -2.075 -3.9175) (layer F.SilkS) (width 0.15)) (fp_line (start 2.075 -4.475) (end 2.075 -3.9175) (layer F.SilkS) (width 0.15)) (fp_line (start 2.075 4.475) (end 2.075 3.9175) (layer F.SilkS) (width 0.15)) (fp_line (start -2.075 4.475) (end -2.075 3.9175) (layer F.SilkS) (width 0.15)) (fp_line (start -2.075 -4.475) (end 2.075 -4.475) (layer F.SilkS) (width 0.15)) (fp_line (start -2.075 4.475) (end 2.075 4.475) (layer F.SilkS) (width 0.15)) (fp_line (start -2.075 -3.9175) (end -3.2 -3.9175) (layer F.SilkS) (width 0.15)) (pad 1 smd rect (at -2.6 -3.4925 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 17 "Net-(E0-Pad1)")) (pad 2 smd rect (at -2.6 -2.8575 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 3 "Net-(A1-Pad6)")) (pad 3 smd rect (at -2.6 -2.2225 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 4 "Net-(A1-Pad5)")) (pad 4 smd rect (at -2.6 -1.5875 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 5 GND)) (pad 5 smd rect (at -2.6 -0.9525 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 9 /HD+)) (pad 6 smd rect (at -2.6 -0.3175 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 10 /HD-)) (pad 7 smd rect (at -2.6 0.3175 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 28 "Net-(E0-Pad7)")) (pad 8 smd rect (at -2.6 0.9525 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 28 "Net-(E0-Pad7)")) (pad 9 smd rect (at -2.6 1.5875 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 1 /+5V)) (pad 10 smd rect (at -2.6 2.2225 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 18 "Net-(E0-Pad10)")) (pad 11 smd rect (at -2.6 2.8575 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 13 /C2CK)) (pad 12 smd rect (at -2.6 3.4925 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 14 /C2D)) (pad 13 smd rect (at 2.6 3.4925 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 19 "Net-(E0-Pad13)")) (pad 14 smd rect (at 2.6 2.8575 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 19 "Net-(E0-Pad13)")) (pad 15 smd rect (at 2.6 2.2225 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 20 "Net-(E0-Pad15)")) (pad 16 smd rect (at 2.6 1.5875 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 21 "Net-(E0-Pad16)")) (pad 17 smd rect (at 2.6 0.9525 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 22 "Net-(E0-Pad17)")) (pad 18 smd rect (at 2.6 0.3175 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 23 "Net-(E0-Pad18)")) (pad 19 smd rect (at 2.6 -0.3175 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 24 "Net-(E0-Pad19)")) (pad 20 smd rect (at 2.6 -0.9525 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 25 "Net-(E0-Pad20)")) (pad 21 smd rect (at 2.6 -1.5875 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 26 "Net-(E0-Pad21)")) (pad 22 smd rect (at 2.6 -2.2225 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 15 /RX)) (pad 23 smd rect (at 2.6 -2.8575 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 16 /TX)) (pad 24 smd rect (at 2.6 -3.4925 180) (size 1.5 0.35) (layers F.Cu F.Paste F.Mask) (net 27 "Net-(E0-Pad24)")) (model Housings_SSOP.3dshapes/SSOP-24_3.9x8.7mm_Pitch0.635mm.wrl (at (xyz 0 0 0)) (scale (xyz 1 1 1)) (rotate (xyz 0 0 0)) ) ) (module footprints:u2f-button (layer F.Cu) (tedit 571CDF8F) (tstamp 571CE173) (at 42.884 36.704 90) (path /5685E9F9) (attr smd) (fp_text reference SW1 (at 0.15 0.09 90) (layer F.SilkS) (effects (font (size 1 1) (thickness 0.15))) ) (fp_text value SW_PUSH (at -0.28 3.13 90) (layer F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (pad 1 smd rect (at -3.6 -1.56 90) (size 1.6 1.4) (layers F.Cu F.Paste F.Mask) (net 19 "Net-(E0-Pad13)")) (pad 1 smd rect (at 3.6 -1.56 90) (size 1.6 1.4) (layers F.Cu F.Paste F.Mask) (net 19 "Net-(E0-Pad13)")) (pad 2 smd rect (at 3.6 1.44 90) (size 1.6 1.4) (layers F.Cu F.Paste F.Mask) (net 5 GND)) (pad 2 smd rect (at -3.6 1.44 90) (size 1.6 1.4) (layers F.Cu F.Paste F.Mask) (net 5 GND)) ) (module footprints:u2f-fiducial (layer F.Cu) (tedit 571CE320) (tstamp 571CE3A7) (at 35.261 42.6) (path /571C39BB) (fp_text reference F1 (at 0.1 -1.4) (layer F.SilkS) hide (effects (font (size 1 1) (thickness 0.15))) ) (fp_text value u2f-fiducial (at 5.3848 -1.4986) (layer F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (pad 1 thru_hole circle (at 0 0) (size 1.524 1.524) (drill 0.508) (layers *.Cu *.Mask F.SilkS) (solder_mask_margin 1.016) (clearance 1.016)) ) (module footprints:u2f-fiducial (layer F.Cu) (tedit 571CE320) (tstamp 571CE3AC) (at 35.261 29.9) (path /571C3A1E) (fp_text reference F2 (at 0.1 -1.4) (layer F.SilkS) hide (effects (font (size 1 1) (thickness 0.15))) ) (fp_text value u2f-fiducial (at 5.3848 -1.4986) (layer F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (pad 1 thru_hole circle (at 0 0) (size 1.524 1.524) (drill 0.508) (layers *.Cu *.Mask F.SilkS) (solder_mask_margin 1.016) (clearance 1.016)) ) (module footprints:u2f-fiducial (layer F.Cu) (tedit 571CE320) (tstamp 571CE3B1) (at 63.3095 29.9) (path /571C3A85) (fp_text reference F3 (at 0.1 -1.4) (layer F.SilkS) hide (effects (font (size 1 1) (thickness 0.15))) ) (fp_text value u2f-fiducial (at 5.3848 -1.4986) (layer F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (pad 1 thru_hole circle (at 0 0) (size 1.524 1.524) (drill 0.508) (layers *.Cu *.Mask F.SilkS) (solder_mask_margin 1.016) (clearance 1.016)) ) (module Capacitors_SMD:C_0805 (layer F.Cu) (tedit 58AA8463) (tstamp 5A0730B1) (at 54.245 41.91 180) (descr "Capacitor SMD 0805, reflow soldering, AVX (see smccp.pdf)") (tags "capacitor 0805") (path /56857DEB) (attr smd) (fp_text reference C3 (at 2.683 -0.508 180) (layer F.SilkS) (effects (font (size 1 1) (thickness 0.15))) ) (fp_text value 0.1uF (at 0 1.75 180) (layer F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (fp_text user %R (at 2.683 -0.508 180) (layer F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (fp_line (start -1 0.62) (end -1 -0.62) (layer F.Fab) (width 0.1)) (fp_line (start 1 0.62) (end -1 0.62) (layer F.Fab) (width 0.1)) (fp_line (start 1 -0.62) (end 1 0.62) (layer F.Fab) (width 0.1)) (fp_line (start -1 -0.62) (end 1 -0.62) (layer F.Fab) (width 0.1)) (fp_line (start 0.5 -0.85) (end -0.5 -0.85) (layer F.SilkS) (width 0.12)) (fp_line (start -0.5 0.85) (end 0.5 0.85) (layer F.SilkS) (width 0.12)) (fp_line (start -1.75 -0.88) (end 1.75 -0.88) (layer F.CrtYd) (width 0.05)) (fp_line (start -1.75 -0.88) (end -1.75 0.87) (layer F.CrtYd) (width 0.05)) (fp_line (start 1.75 0.87) (end 1.75 -0.88) (layer F.CrtYd) (width 0.05)) (fp_line (start 1.75 0.87) (end -1.75 0.87) (layer F.CrtYd) (width 0.05)) (pad 1 smd rect (at -1 0 180) (size 1 1.25) (layers F.Cu F.Paste F.Mask) (net 1 /+5V)) (pad 2 smd rect (at 1 0 180) (size 1 1.25) (layers F.Cu F.Paste F.Mask) (net 5 GND)) (model Capacitors_SMD.3dshapes/C_0805.wrl (at (xyz 0 0 0)) (scale (xyz 1 1 1)) (rotate (xyz 0 0 0)) ) ) (module Capacitors_SMD:C_0805 (layer F.Cu) (tedit 58AA8463) (tstamp 5A0730C2) (at 59.325 31.115) (descr "Capacitor SMD 0805, reflow soldering, AVX (see smccp.pdf)") (tags "capacitor 0805") (path /56857E44) (attr smd) (fp_text reference C4 (at -2.683 0.381) (layer F.SilkS) (effects (font (size 1 1) (thickness 0.15))) ) (fp_text value 4.7uF (at 0 1.75) (layer F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (fp_text user %R (at -2.683 0.381) (layer F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (fp_line (start -1 0.62) (end -1 -0.62) (layer F.Fab) (width 0.1)) (fp_line (start 1 0.62) (end -1 0.62) (layer F.Fab) (width 0.1)) (fp_line (start 1 -0.62) (end 1 0.62) (layer F.Fab) (width 0.1)) (fp_line (start -1 -0.62) (end 1 -0.62) (layer F.Fab) (width 0.1)) (fp_line (start 0.5 -0.85) (end -0.5 -0.85) (layer F.SilkS) (width 0.12)) (fp_line (start -0.5 0.85) (end 0.5 0.85) (layer F.SilkS) (width 0.12)) (fp_line (start -1.75 -0.88) (end 1.75 -0.88) (layer F.CrtYd) (width 0.05)) (fp_line (start -1.75 -0.88) (end -1.75 0.87) (layer F.CrtYd) (width 0.05)) (fp_line (start 1.75 0.87) (end 1.75 -0.88) (layer F.CrtYd) (width 0.05)) (fp_line (start 1.75 0.87) (end -1.75 0.87) (layer F.CrtYd) (width 0.05)) (pad 1 smd rect (at -1 0) (size 1 1.25) (layers F.Cu F.Paste F.Mask) (net 5 GND)) (pad 2 smd rect (at 1 0) (size 1 1.25) (layers F.Cu F.Paste F.Mask) (net 1 /+5V)) (model Capacitors_SMD.3dshapes/C_0805.wrl (at (xyz 0 0 0)) (scale (xyz 1 1 1)) (rotate (xyz 0 0 0)) ) ) (module Resistors_SMD:R_0805 (layer F.Cu) (tedit 58E0A804) (tstamp 5A0730D3) (at 47.945 31.75 180) (descr "Resistor SMD 0805, reflow soldering, Vishay (see dcrcw.pdf)") (tags "resistor 0805") (path /56857B9B) (attr smd) (fp_text reference R1 (at -0.95 -1.651 180) (layer F.SilkS) (effects (font (size 1 1) (thickness 0.15))) ) (fp_text value 100 (at 0 1.75 180) (layer F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (fp_text user %R (at 0 0 180) (layer F.Fab) (effects (font (size 0.5 0.5) (thickness 0.075))) ) (fp_line (start -1 0.62) (end -1 -0.62) (layer F.Fab) (width 0.1)) (fp_line (start 1 0.62) (end -1 0.62) (layer F.Fab) (width 0.1)) (fp_line (start 1 -0.62) (end 1 0.62) (layer F.Fab) (width 0.1)) (fp_line (start -1 -0.62) (end 1 -0.62) (layer F.Fab) (width 0.1)) (fp_line (start 0.6 0.88) (end -0.6 0.88) (layer F.SilkS) (width 0.12)) (fp_line (start -0.6 -0.88) (end 0.6 -0.88) (layer F.SilkS) (width 0.12)) (fp_line (start -1.55 -0.9) (end 1.55 -0.9) (layer F.CrtYd) (width 0.05)) (fp_line (start -1.55 -0.9) (end -1.55 0.9) (layer F.CrtYd) (width 0.05)) (fp_line (start 1.55 0.9) (end 1.55 -0.9) (layer F.CrtYd) (width 0.05)) (fp_line (start 1.55 0.9) (end -1.55 0.9) (layer F.CrtYd) (width 0.05)) (pad 1 smd rect (at -0.95 0 180) (size 0.7 1.3) (layers F.Cu F.Paste F.Mask) (net 1 /+5V)) (pad 2 smd rect (at 0.95 0 180) (size 0.7 1.3) (layers F.Cu F.Paste F.Mask) (net 11 "Net-(R1-Pad2)")) (model ${KISYS3DMOD}/Resistors_SMD.3dshapes/R_0805.wrl (at (xyz 0 0 0)) (scale (xyz 1 1 1)) (rotate (xyz 0 0 0)) ) ) (module LEDs:LED_Cree-PLCC4_3.2x2.8mm_CCW (layer F.Cu) (tedit 59D415EA) (tstamp 5A087B4D) (at 47.69 36.81 270) (descr "3.2mm x 2.8mm PLCC4 LED, http://www.cree.com/led-components/media/documents/CLV1AFKB(874).pdf") (tags "LED Cree PLCC-4") (path /5686DEFD) (attr smd) (fp_text reference RGB1 (at 2.941 -0.316 360) (layer F.SilkS) (effects (font (size 1 1) (thickness 0.15))) ) (fp_text value CA_RGB (at 0 2.65 270) (layer F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (fp_circle (center 0 0) (end 1.12 0) (layer F.Fab) (width 0.1)) (fp_line (start -2.2 -1.75) (end -2.2 1.75) (layer F.CrtYd) (width 0.05)) (fp_line (start -2.2 1.75) (end 2.2 1.75) (layer F.CrtYd) (width 0.05)) (fp_line (start 2.2 1.75) (end 2.2 -1.75) (layer F.CrtYd) (width 0.05)) (fp_line (start 2.2 -1.75) (end -2.2 -1.75) (layer F.CrtYd) (width 0.05)) (fp_line (start -0.6 -1.4) (end -1.6 -0.4) (layer F.Fab) (width 0.1)) (fp_line (start -1.6 -1.4) (end -1.6 1.4) (layer F.Fab) (width 0.1)) (fp_line (start -1.6 1.4) (end 1.6 1.4) (layer F.Fab) (width 0.1)) (fp_line (start 1.6 1.4) (end 1.6 -1.4) (layer F.Fab) (width 0.1)) (fp_line (start 1.6 -1.4) (end -1.6 -1.4) (layer F.Fab) (width 0.1)) (fp_line (start -1.95 -0.7) (end -1.95 -1.5) (layer F.SilkS) (width 0.12)) (fp_line (start -1.95 -1.5) (end 1.95 -1.5) (layer F.SilkS) (width 0.12)) (fp_line (start -1.95 1.5) (end 1.95 1.5) (layer F.SilkS) (width 0.12)) (fp_text user %R (at 0 0 270) (layer F.Fab) (effects (font (size 0.5 0.5) (thickness 0.075))) ) (pad 1 smd rect (at -1.25 -0.7 270) (size 1 0.8) (layers F.Cu F.Paste F.Mask) (net 23 "Net-(E0-Pad18)")) (pad 4 smd rect (at 1.25 -0.7 270) (size 1 0.8) (layers F.Cu F.Paste F.Mask) (net 24 "Net-(E0-Pad19)")) (pad 3 smd rect (at 1.25 0.7 270) (size 1 0.8) (layers F.Cu F.Paste F.Mask) (net 25 "Net-(E0-Pad20)")) (pad 2 smd rect (at -1.25 0.7 270) (size 1 0.8) (layers F.Cu F.Paste F.Mask) (net 11 "Net-(R1-Pad2)")) (model ${KISYS3DMOD}/LEDs.3dshapes/LED_Cree-PLCC4_3.2x2.8mm_CCW.wrl (at (xyz 0 0 0)) (scale (xyz 1 1 1)) (rotate (xyz 0 0 0)) ) ) (module TO_SOT_Packages_SMD:SOT-353_SC-70-5 (layer F.Cu) (tedit 58CE4E7F) (tstamp 5A0880B3) (at 53.533 31.511) (descr "SOT-353, SC-70-5") (tags "SOT-353 SC-70-5") (path /56857EAF) (attr smd) (fp_text reference Z1 (at -2.352 0.874) (layer F.SilkS) (effects (font (size 1 1) (thickness 0.15))) ) (fp_text value DF5A5.6JE (at 0 2 180) (layer F.Fab) (effects (font (size 1 1) (thickness 0.15))) ) (fp_text user %R (at 0 0 90) (layer F.Fab) (effects (font (size 0.5 0.5) (thickness 0.075))) ) (fp_line (start 0.7 -1.16) (end -1.2 -1.16) (layer F.SilkS) (width 0.12)) (fp_line (start -0.7 1.16) (end 0.7 1.16) (layer F.SilkS) (width 0.12)) (fp_line (start 1.6 1.4) (end 1.6 -1.4) (layer F.CrtYd) (width 0.05)) (fp_line (start -1.6 -1.4) (end -1.6 1.4) (layer F.CrtYd) (width 0.05)) (fp_line (start -1.6 -1.4) (end 1.6 -1.4) (layer F.CrtYd) (width 0.05)) (fp_line (start 0.675 -1.1) (end -0.175 -1.1) (layer F.Fab) (width 0.1)) (fp_line (start -0.675 -0.6) (end -0.675 1.1) (layer F.Fab) (width 0.1)) (fp_line (start -1.6 1.4) (end 1.6 1.4) (layer F.CrtYd) (width 0.05)) (fp_line (start 0.675 -1.1) (end 0.675 1.1) (layer F.Fab) (width 0.1)) (fp_line (start 0.675 1.1) (end -0.675 1.1) (layer F.Fab) (width 0.1)) (fp_line (start -0.175 -1.1) (end -0.675 -0.6) (layer F.Fab) (width 0.1)) (pad 1 smd rect (at -0.95 -0.65) (size 0.65 0.4) (layers F.Cu F.Paste F.Mask) (net 12 "Net-(Z1-Pad1)")) (pad 3 smd rect (at -0.95 0.65) (size 0.65 0.4) (layers F.Cu F.Paste F.Mask) (net 1 /+5V)) (pad 2 smd rect (at -0.95 0) (size 0.65 0.4) (layers F.Cu F.Paste F.Mask) (net 5 GND)) (pad 4 smd rect (at 0.95 0.65) (size 0.65 0.4) (layers F.Cu F.Paste F.Mask) (net 10 /HD-)) (pad 5 smd rect (at 0.95 -0.65) (size 0.65 0.4) (layers F.Cu F.Paste F.Mask) (net 9 /HD+)) (model ${KISYS3DMOD}/TO_SOT_Packages_SMD.3dshapes/SOT-353_SC-70-5.wrl (at (xyz 0 0 0)) (scale (xyz 1 1 1)) (rotate (xyz 0 0 0)) ) ) (gr_line (start 64.725 32.44) (end 64.217 32.44) (angle 90) (layer B.SilkS) (width 0.2)) (gr_line (start 64.598 32.44) (end 64.09 32.44) (angle 90) (layer B.SilkS) (width 0.2)) 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KiCad
4
xkey10x/u2f-zero
hardware/u2f-zero.kicad_pcb
[ "BSD-2-Clause-FreeBSD" ]
10 5 0 1 4 2 4 3 1 [0] [0] [0] [0] 1 1 1 7 [20] 2 1 1 10 [22] 3 1 1 8 [14] 4 1 2 6 7 [16] [-3] 5 1 3 6 9 11 [-6] [0] [8] 6 1 2 10 5 [-4] [4] 7 1 2 11 1 [9] [-23] 8 1 2 11 3 [3] [-18] 9 1 1 11 [4] 10 1 1 11 [3] 11 1 0 0 1 0 0 0 0 0 1 1 -1 0 -1 0 -1 2 1 0 0 -1 1 0 3 1 2 1 2 0 0 4 1 2 -1 -1 -1 0 5 1 -2 -2 0 2 -1 6 1 0 0 -1 -1 1 7 1 -2 -2 1 0 1 8 1 2 -1 2 -2 0 9 1 0 0 1 0 0 10 1 0 2 0 -2 1 11 1 0 0 0 0 0 1 -5 -1 -3 -1 5 0 2 0 1
Eagle
2
klorel/or-tools
examples/data/rcpsp/single_mode_consumer_producer/ubo10_cum_2/psp10_26.sch
[ "Apache-2.0" ]
/** * @file verify.yap * * @brief JUpyter support. */ %% :- module( verify, %% [errors/2, %% ready/2] %% ). :- use_module(library(hacks)). %% :- use_module(library(jupyter)). :- use_module(library(lists)). :- use_module(library(maplist)). %% :- use_module(library(python)). %% :- use_module(library(yapi)). :- dynamic jupyter/1. jupyter( []). ready( Engine, Query) :- errors( Engine , Query ), Es := Engine.errors, Es \== []. errors( _Engine , Text ) :- blank(Text), !. errors( Engine , Text ) :- %start_low_level_trace, setup_call_cleanup( open_esh( Engine , Text, Stream, Name ), esh(Engine , Name, Stream), close_esh( Engine , Stream ) ), fail. errors( _Engine , _Text ). open_esh(Engine , Text, Stream, Name) :- retractall(jupyter(_)), assertz(jupyter(Engine)), b_setval( jupyter, Engine), Name := Engine.stream_name, open_mem_read_stream( Text, Stream ). esh(Engine , _Name, Stream) :- repeat, catch( read_clause(Stream, Cl, [ syntax_errors(dec10)]), error(C,E), p3_message(C,Engine,E) ), Cl == end_of_file, !. :- multifile user:portray_message/2. user:portray_message(S,E) :- jupyter(En), En \= [], python_clear_errors, p3_message(S,En,E). close_esh( _Engine , Stream ) :- retractall(jupyter(_)), assertz(jupyter([])), close(Stream), python_clear_errors. p3_message( _Severity, Engine, error(syntax_error(Cause),info(between(_,LN,_), _FileName, CharPos, Details))) :- python_clear_errors, !, Engine.errors := [t(Cause,LN,CharPos,Details)]+Engine.errors . p3_message(error, _Engine, _E) :- python_clear_errors, !. p3_message(warning, _Engine, _E) :- !. p3_message(error, Engine, E) :- Engine.errors := [E] + Engine.errors. p3_message(warning, Engine, E) :- Engine.errors := [E] + Engine.errors. %% ready(_Self, Line ) :- %% blank( Line ), %% !. %% ready(Self, Line ) :- %% errors( Self, Line ), %% \+ syntax_error(_,_). %% errors( Self, Text ) :- %% setup_call_cleanup( %% open_events( Self, Text, Stream), %% goals(Self, Stream), %% close_events( Self ) %% ). %% clauses(_Self, Stream) :- %% repeat, %% read_clause(Stream, Cl, [term_position(_Pos), syntax_errors(fail)] ), %% % command( Self, Cl ), %% Cl == end_of_file, %% !. %% goals(_Self, Stream) :- %% repeat, %% read_term(Stream, Cl, [term_position(_Pos), syntax_errors(fail)] ), %% % command( Self, Cl ), %% Cl == end_of_file, %% !. %% command(_, end_of_file) :- !. %% command( _Self, ( :- op(Prio,Assoc,Name) ) ) :- %% addop(Prio,Assoc,Name). %% command( _Self, ( :- module(Name, Exports) )) :- %% retract( active_module( M0 ) ), %% atom_concat( '__m0_', Name, M ), %% assert( active_module(M) ), %% assert( undo( active_module(M0) ) ), %% maplist( addop2(M), Exports). %% addop(Prio,Assoc,Name) :- %% ( %% current_op(OPrio, SimilarAssoc, Name), %% op(Prio, Assoc, Name), %% matched_op(Assoc, SimilarAssoc) %% -> %% assertz( undo(op( OPrio, Assoc, Name ) ) ) %% ; %% assertz( undo(op( 0, Assoc, Name ) ) ) %% ). %% addop2(M, op(Prio, Assoc, Name)) :- %% addop( Prio, Assoc, M:Name ). %% matched_op(A, B) :- %% optype( A, T), %% optype( B, T). %% optype(fx,pre). %% optype(fy,pre). %% optype(xfx,in). %% optype(xfy,in). %% optype(yfx,in). %% optype(yfy,in). %% optype(xf,pos). %% optype(yf,pos). %% :- dynamic syntax_error/4, undo/1. %% %% open_events(Self, Text, Stream) :- %% Self.errors := [], %% nb_setval( jupyter, on), %% open_mem_read_stream( Text, Stream ). %% :- initialization( nb_setval( jupyter, off ) ). %% close_events( _Self ) :- %% nb_setval( jupyter, off ), %% retract( undo(G) ), %% call(G), %% fail. %% close_events( Self ) :- %% retract( syntax_error( C, L, N, A )), %% Self.errors := [t(C,L,N,A)] + Self.errors, %% fail. %% close_events( _ ).
Prolog
4
ryandesign/yap
packages/python/yap_kernel/yap_ipython/prolog/verify.yap
[ "Artistic-1.0-Perl", "ClArtistic" ]
--TEST-- Fractions with DateTime objects (create_from_format) --INI-- date.timezone=UTC --FILE-- <?php $dt = date_create_from_format( "Y-m-d H:i:s.u", "2016-10-03 12:47:18.819313" ); var_dump( $dt ); $dt = date_create_from_format( "U.u", "1475500799.176312" ); var_dump( $dt ); ?> --EXPECTF-- object(DateTime)#%d (%d) { ["date"]=> string(26) "2016-10-03 12:47:18.819313" ["timezone_type"]=> int(3) ["timezone"]=> string(3) "UTC" } object(DateTime)#%d (%d) { ["date"]=> string(26) "2016-10-03 13:19:59.176312" ["timezone_type"]=> int(1) ["timezone"]=> string(6) "+00:00" }
PHP
3
thiagooak/php-src
ext/date/tests/date_time_fractions_create_from_format.phpt
[ "PHP-3.01" ]
version (!gc) { Foo: enum { test = UNDEFINED_C_CONST } }
ooc
0
shamanas/rock
test/compiler/enums/versioned-enum.ooc
[ "MIT" ]
#!perl # # test apparatus for Text::Template module # still incomplete. use strict; use warnings; use Test::More; unless (eval { require Safe; 1 }) { plan skip_all => 'Safe.pm is required for this test'; } else { plan tests => 12; } use_ok 'Text::Template' or exit 1; my $c = Safe->new or die; # Test handling of packages and importing. $c->reval('$P = "safe root"'); our $P = 'main'; $Q::P = $Q::P = 'Q'; # How to effectively test the gensymming? my $t = Text::Template->new( TYPE => 'STRING', SOURCE => 'package is {$P}') or die; # (1) Default behavior: Inherit from calling package, `main' in this case. my $text = $t->fill_in(); is $text, 'package is main'; # (2) When a package is specified, we should use that package instead. $text = $t->fill_in(PACKAGE => 'Q'); is $text, 'package is Q'; # (3) When no package is specified in safe mode, we should use the # default safe root. $text = $t->fill_in(SAFE => $c); is $text, 'package is safe root'; # (4) When a package is specified in safe mode, we should use the # default safe root, after aliasing to the specified package TODO: { local $TODO = "test fails when tested with TAP/Devel::Cover" if defined $Devel::Cover::VERSION; $text = $t->fill_in(SAFE => $c, PACKAGE => 'Q'); is $text, 'package is Q'; } # Now let's see if hash vars are installed properly into safe templates $t = Text::Template->new( TYPE => 'STRING', SOURCE => 'hash is {$H}') or die; # (5) First in default mode $text = $t->fill_in(HASH => { H => 'good5' }); is $text, 'hash is good5'; # suppress "once" warnings $Q::H = $Q2::H = undef; # (6) Now in packages $text = $t->fill_in(HASH => { H => 'good6' }, PACKAGE => 'Q'); is $text, 'hash is good6'; # (7) Now in the default root of the safe compartment TODO: { local $TODO = "test fails when tested with TAP/Devel::Cover" if defined $Devel::Cover::VERSION; $text = $t->fill_in(HASH => { H => 'good7' }, SAFE => $c); is $text, 'hash is good7'; } # (8) Now in the default root after aliasing to a package that # got the hash stuffed in our $H; TODO: { local $TODO = "test fails when tested with TAP/Devel::Cover" if defined $Devel::Cover::VERSION; $text = $t->fill_in(HASH => { H => 'good8' }, SAFE => $c, PACKAGE => 'Q2'); is $text, 'hash is good8'; } # Now let's make sure that none of the packages leaked on each other. # (9) This var should NOT have been installed into the main package ok !defined $H; $H = $H; # (11) this value overwrote the one from test 6. is $Q::H, 'good7'; # (12) is $Q2::H, 'good8';
Perl
4
pmesnier/openssl
external/perl/Text-Template-1.56/t/safe2.t
[ "Apache-2.0" ]
" Vim syntax file " Language: ldap.conf(5) configuration file. " Previous Maintainer: Nikolai Weibull <now@bitwi.se> " Latest Revision: 2006-12-11 if exists("b:current_syntax") finish endif let s:cpo_save = &cpo set cpo&vim syn keyword ldapconfTodo contained TODO FIXME XXX NOTE syn region ldapconfComment display oneline start='^\s*#' end='$' \ contains=ldapconfTodo, \ @Spell syn match ldapconfBegin display '^' \ nextgroup=ldapconfOption, \ ldapconfDeprOption, \ ldapconfComment syn case ignore syn keyword ldapconfOption contained URI \ nextgroup=ldapconfURI \ skipwhite syn keyword ldapconfOption contained \ BASE \ BINDDN \ nextgroup=ldapconfDNAttrType \ skipwhite syn keyword ldapconfDeprOption contained \ HOST \ nextgroup=ldapconfHost \ skipwhite syn keyword ldapconfDeprOption contained \ PORT \ nextgroup=ldapconfPort \ skipwhite syn keyword ldapconfOption contained \ REFERRALS \ nextgroup=ldapconfBoolean \ skipwhite syn keyword ldapconfOption contained \ SIZELIMIT \ TIMELIMIT \ nextgroup=ldapconfInteger \ skipwhite syn keyword ldapconfOption contained \ DEREF \ nextgroup=ldapconfDerefWhen \ skipwhite syn keyword ldapconfOption contained \ SASL_MECH \ nextgroup=ldapconfSASLMechanism \ skipwhite syn keyword ldapconfOption contained \ SASL_REALM \ nextgroup=ldapconfSASLRealm \ skipwhite syn keyword ldapconfOption contained \ SASL_AUTHCID \ SASL_AUTHZID \ nextgroup=ldapconfSASLAuthID \ skipwhite syn keyword ldapconfOption contained \ SASL_SECPROPS \ nextgroup=ldapconfSASLSecProps \ skipwhite syn keyword ldapconfOption contained \ TLS_CACERT \ TLS_CERT \ TLS_KEY \ TLS_RANDFILE \ nextgroup=ldapconfFilename \ skipwhite syn keyword ldapconfOption contained \ TLS_CACERTDIR \ nextgroup=ldapconfPath \ skipwhite syn keyword ldapconfOption contained \ TLS_CIPHER_SUITE \ nextgroup=@ldapconfTLSCipher \ skipwhite syn keyword ldapconfOption contained \ TLS_REQCERT \ nextgroup=ldapconfTLSCertCheck \ skipwhite syn keyword ldapconfOption contained \ TLS_CRLCHECK \ nextgroup=ldapconfTLSCRLCheck \ skipwhite syn case match syn match ldapconfURI contained display \ 'ldaps\=://[^[:space:]:]\+\%(:\d\+\)\=' \ nextgroup=ldapconfURI \ skipwhite " LDAP Distinguished Names are defined in Section 3 of RFC 2253: " http://www.ietf.org/rfc/rfc2253.txt. syn match ldapconfDNAttrType contained display \ '\a[a-zA-Z0-9-]\+\|\d\+\%(\.\d\+\)*' \ nextgroup=ldapconfDNAttrTypeEq syn match ldapconfDNAttrTypeEq contained display \ '=' \ nextgroup=ldapconfDNAttrValue syn match ldapconfDNAttrValue contained display \ '\%([^,=+<>#;\\"]\|\\\%([,=+<>#;\\"]\|\x\x\)\)*\|#\%(\x\x\)\+\|"\%([^\\"]\|\\\%([,=+<>#;\\"]\|\x\x\)\)*"' \ nextgroup=ldapconfDNSeparator syn match ldapconfDNSeparator contained display \ '[+,]' \ nextgroup=ldapconfDNAttrType syn match ldapconfHost contained display \ '[^[:space:]:]\+\%(:\d\+\)\=' \ nextgroup=ldapconfHost \ skipwhite syn match ldapconfPort contained display \ '\d\+' syn keyword ldapconfBoolean contained \ on \ true \ yes \ off \ false \ no syn match ldapconfInteger contained display \ '\d\+' syn keyword ldapconfDerefWhen contained \ never \ searching \ finding \ always " Taken from http://www.iana.org/assignments/sasl-mechanisms. syn keyword ldapconfSASLMechanism contained \ KERBEROS_V4 \ GSSAPI \ SKEY \ EXTERNAL \ ANONYMOUS \ OTP \ PLAIN \ SECURID \ NTLM \ NMAS_LOGIN \ NMAS_AUTHEN \ KERBEROS_V5 syn match ldapconfSASLMechanism contained display \ 'CRAM-MD5\|GSS-SPNEGO\|DIGEST-MD5\|9798-[UM]-\%(RSA-SHA1-ENC\|\%(EC\)\=DSA-SHA1\)\|NMAS-SAMBA-AUTH' " TODO: I have been unable to find a definition for a SASL realm, " authentication identity, and proxy authorization identity. syn match ldapconfSASLRealm contained display \ '\S\+' syn match ldapconfSASLAuthID contained display \ '\S\+' syn keyword ldapconfSASLSecProps contained \ none \ noplain \ noactive \ nodict \ noanonymous \ forwardsec \ passcred \ nextgroup=ldapconfSASLSecPSep syn keyword ldapconfSASLSecProps contained \ minssf \ maxssf \ maxbufsize \ nextgroup=ldapconfSASLSecPEq syn match ldapconfSASLSecPEq contained display \ '=' \ nextgroup=ldapconfSASLSecFactor syn match ldapconfSASLSecFactor contained display \ '\d\+' \ nextgroup=ldapconfSASLSecPSep syn match ldapconfSASLSecPSep contained display \ ',' \ nextgroup=ldapconfSASLSecProps syn match ldapconfFilename contained display \ '.\+' syn match ldapconfPath contained display \ '.\+' " Defined in openssl-ciphers(1). " TODO: Should we include the stuff under CIPHER SUITE NAMES? syn cluster ldapconfTLSCipher contains=ldapconfTLSCipherOp, \ ldapconfTLSCipherName, \ ldapconfTLSCipherSort syn match ldapconfTLSCipherOp contained display \ '[+!-]' \ nextgroup=ldapconfTLSCipherName syn keyword ldapconfTLSCipherName contained \ DEFAULT \ COMPLEMENTOFDEFAULT \ ALL \ COMPLEMENTOFALL \ HIGH \ MEDIUM \ LOW \ EXP \ EXPORT \ EXPORT40 \ EXPORT56 \ eNULL \ NULL \ aNULL \ kRSA \ RSA \ kEDH \ kDHr \ kDHd \ aRSA \ aDSS \ DSS \ aDH \ kFZA \ aFZA \ eFZA \ FZA \ TLSv1 \ SSLv3 \ SSLv2 \ DH \ ADH \ AES \ 3DES \ DES \ RC4 \ RC2 \ IDEA \ MD5 \ SHA1 \ SHA \ Camellia \ nextgroup=ldapconfTLSCipherSep syn match ldapconfTLSCipherSort contained display \ '@STRENGTH' \ nextgroup=ldapconfTLSCipherSep syn match ldapconfTLSCipherSep contained display \ '[:, ]' \ nextgroup=@ldapconfTLSCipher syn keyword ldapconfTLSCertCheck contained \ never \ allow \ try \ demand \ hard syn keyword ldapconfTLSCRLCheck contained \ none \ peer \ all hi def link ldapconfTodo Todo hi def link ldapconfComment Comment hi def link ldapconfOption Keyword hi def link ldapconfDeprOption Error hi def link ldapconfString String hi def link ldapconfURI ldapconfString hi def link ldapconfDNAttrType Identifier hi def link ldapconfOperator Operator hi def link ldapconfEq ldapconfOperator hi def link ldapconfDNAttrTypeEq ldapconfEq hi def link ldapconfValue ldapconfString hi def link ldapconfDNAttrValue ldapconfValue hi def link ldapconfSeparator ldapconfOperator hi def link ldapconfDNSeparator ldapconfSeparator hi def link ldapconfHost ldapconfURI hi def link ldapconfNumber Number hi def link ldapconfPort ldapconfNumber hi def link ldapconfBoolean Boolean hi def link ldapconfInteger ldapconfNumber hi def link ldapconfType Type hi def link ldapconfDerefWhen ldapconfType hi def link ldapconfDefine Define hi def link ldapconfSASLMechanism ldapconfDefine hi def link ldapconfSASLRealm ldapconfURI hi def link ldapconfSASLAuthID ldapconfValue hi def link ldapconfSASLSecProps ldapconfType hi def link ldapconfSASLSecPEq ldapconfEq hi def link ldapconfSASLSecFactor ldapconfNumber hi def link ldapconfSASLSecPSep ldapconfSeparator hi def link ldapconfFilename ldapconfString hi def link ldapconfPath ldapconfFilename hi def link ldapconfTLSCipherOp ldapconfOperator hi def link ldapconfTLSCipherName ldapconfDefine hi def link ldapconfSpecial Special hi def link ldapconfTLSCipherSort ldapconfSpecial hi def link ldapconfTLSCipherSep ldapconfSeparator hi def link ldapconfTLSCertCheck ldapconfType hi def link ldapconfTLSCRLCheck ldapconfType let b:current_syntax = "ldapconf" let &cpo = s:cpo_save unlet s:cpo_save
VimL
4
uga-rosa/neovim
runtime/syntax/ldapconf.vim
[ "Vim" ]
mailq_refresh=Väntetid (sekunder) för att uppdatera e-postkön,3,Uppdatera inte perpage=Antal e-postbrev per sida,0 wrap_width=Maximal bredd för e-postbrev (ombrytning sker),0 sort_mode=Sortera tabeller efter,1,0-ordningen i filen,1-Namn send_mode=Skicka e-post via förbindelse till,3,Sendmail executable sendmail_cf=Fullständig sökväg till sendmail.cf,0 sendmail_pid=Fullständig sökväg till PID-fil för sendmail,0 sendmail_command=Kommando för att starta sendmail i servermod,0 sendmail_stop_command=Kommando för att stanna sendmail,3,Kill process makemap_path=Makemap-kommando,0 sendmail_path=Sendmail-kommando,0 alias_file=Fullständig sökväg till aliasfil för sendmail,3,Automatisk virtusers_file=Källfil för virtusers-databas,3,Samma som DBM mailers_file=Källfil för mailertable-databas,3,Samma som DBM generics_file=Källfil för generics-databas,3,Samma som DBM access_file=Källfil för access-databas,3,Samma som DBM domains_file=Källfil för domän-databas,3,Samma som DBM mail_dir=Användarkatalog för e-postfiler,3 smrsh_dir=SMRSH-katalog,3,Ingen
SystemVerilog
3
GalaxyGFX/webmin
sendmail/config.info.sv
[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]
service Storage { oneway void incr(1: i32 amount); i32 get(); }
Thrift
3
Jimexist/thrift
contrib/zeromq/storage.thrift
[ "Apache-2.0" ]
\\ \\ AJY 2016-01-09 \\ \\ Vector and array ops for ANN software \\ \\ ------------------------------------------------------------ \\ Aux array operations \\ First load Ramil Farkhshatov's for macro: \\ (load "for.shen") \\ Then load this file: \\ (load "array.shen") (define outer-product { vector --> vector --> vector } Y X -> (let XM (limit X) \\ M columns in the result vector YN (limit Y) \\ N rows in the result vector VEC (vector YN) \\ resulting output array (vector of vectors) (do \\ Build result array, then return it (for (IndxY 1 1 YN) \\ Build vert rows (vectors) one by one (let VEC2 (vector XM) \\ One vertical row (products vector) (do (for (IndxX 1 1 XM) (vector-> VEC2 IndxX (* (<-vector Y IndxY) (<-vector X IndxX)))) \\ Outer prod elems (vector-> VEC IndxY VEC2)))) \\ Fill row into array VEC) \\ Return the resulting vector of vectors ) \\ end (let ...) ) \\ end function (define scalar-mult { number --> vector --> vector } C V -> (let YN (limit V) \\ Number of vertical rows XM (limit (<-vector V 1)) \\ Number of horizontal columns (do \\ First compute the scalar product, then return it (for (IndxY 1 1 YN) (let ROW (<-vector V IndxY) (do \\ Compute row, then assign it (for (IndxX 1 1 XM) (let YNXM (* (<-vector ROW IndxX) \\ Compute scalar product C) (vector-> ROW IndxX YNXM))) (vector-> V IndxY ROW))) \\ end (let ...) ) end \\ (for (IndxY 1 1 N) ...) V \\ return the scalar multiplied vector V ) \\ end (do ...) ) \\ end (let ...) ) \\ end function (define output-array { vector --> (list A) } \\ Prettyprint a 2-D array, a vector of vectors \\ Return [] V -> (let Ydim (limit V) \\ # of rows Xdim (limit (<-vector V 1)) \\ # of columns _ (output "~%<") _ (output "~A~%" (<-vector V 1)) _ (for (Indx 2 1 Ydim) (output " ~A~%" (<-vector V Indx))) _ (output ">~%") []) \\ end (let ...) ) \\ end (define output-array ...) (define array-sum { vector --> vector --> vector } X Y -> (let XyM (limit X) \\ XyM rows in the first array YyM (limit Y) \\ YyM rows in the second array XxN (limit (<-vector X 1)) \\ XyN columns in the second array YxN (limit (<-vector Y 1)) \\ YyN columns in the second array _ (if (not (= XyM YyM)) (error "DIM error -- rows") skip) _ (if (not (= XxN YxN)) (error "DIM error -- columns") skip) VEC (vector XyM) \\ resulting output array (vector of vectors) (do \\ Build result array, then return it (for (IndxY 1 1 XyM) \\ Build vert rows (vectors) one by one (let VEC2 (vector XxN) \\ One vertical row (products vector) _ (let XRow (<-vector X IndxY) YRow (<-vector Y IndxY) (for (IndxX 1 1 XxN) \\ Fill VEC2 with partial sums (vector-> VEC2 IndxX (+ (<-vector XRow IndxX) \\ Sum elems (<-vector YRow IndxX)))) ) \\ end (let ...) (vector-> VEC IndxY VEC2) \\ Fill row into array ) \\ end (let ...) ) \\ end (for ...) VEC \\ Return the resulting vector of vectors ) \\ end (do ...) ) \\ end (let ...) ) \\ end function \\ Transpose of a 2-D array (define transpose { vector --> vector } A -> (let Ydim (limit A) \\ number of rows Xdim (limit (<-vector A 1)) \\ number of columns R (vector Xdim) \\ The result has Xdim rows _ (for (IndxX 1 1 Xdim) \\ First build the result array (vector-> R IndxX (vector Ydim))) \\ Fill IndxX'th row \\ Now the result array is there, and is full of (fail) \\ objects, actually. Fill it with A's transpose _ (for (IndxY 1 1 Ydim) \\ For each row: (for (IndxX 1 1 Xdim) \\ For each column: \\ R(Xdim, Ydim) := A(Ydim, Xdim) (let D (<-vector A IndxY) \\ Take IndxY'th row Item (<-vector D IndxX) \\ This is the item RR (<-vector R IndxX) \\ IndxX'th row in result _ (vector-> RR IndxY Item) \\ Insert Item (vector-> R IndxX RR) \\ Insert the new row ) \\ end (let ...) ) \\ end (for ...) ) \\ end (for ...) R \\ Return the result from the (let ...) form ) \\ end (let ...) ) \\ end function (define output-array-v \\ For Hopfield { vector --> (list A) } \\ Prettyprint a 2-D array, a vector of vectors \\ Return [] V -> (let Ydim (limit V) \\ # of rows Xdim (limit (<-vector V 1)) \\ # of columns _ (output "~%<") _ (output "~A~%~%" (<-vector V 1)) _ (for (Indx 2 1 Ydim) (output " ~A~%~%" (<-vector V Indx))) _ (output ">~%") []) \\ end (let ...) ) \\ end (define output-array ...)
Shen
5
ajnavarro/language-dataset
data/github.com/bluejay77/ANN-with-Shen-4/f93c9c32bd161f7467a635f6f62d7dc0c2d6ebf7/array.shen
[ "MIT" ]
/* * Copyright (c) Ian F. Darwin 1986-1995. * Software written by Ian F. Darwin and others; * maintained 1995-present by Christos Zoulas and others. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * 1. Redistributions of source code must retain the above copyright * notice immediately at the beginning of the file, without modification, * this list of conditions, and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE * ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE FOR * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS * OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY * OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF * SUCH DAMAGE. */ /* * is_tar() -- figure out whether file is a tar archive. * * Stolen (by the author!) from the public domain tar program: * Public Domain version written 26 Aug 1985 John Gilmore (ihnp4!hoptoad!gnu). * * @(#)list.c 1.18 9/23/86 Public Domain - gnu * * Comments changed and some code/comments reformatted * for file command by Ian Darwin. */ #include "file.h" #ifndef lint FILE_RCSID("@(#)$File: is_tar.c,v 1.44 2019/02/20 02:35:27 christos Exp $") #endif #include "magic.h" #include <string.h> #include <ctype.h> #include "tar.h" #define isodigit(c) ( ((c) >= '0') && ((c) <= '7') ) private int is_tar(const unsigned char *, size_t); private int from_oct(const char *, size_t); /* Decode octal number */ static const char tartype[][32] = { /* should be equal to messages */ "tar archive", /* found in ../magic/Magdir/archive */ "POSIX tar archive", "POSIX tar archive (GNU)", /* */ }; protected int file_is_tar(struct magic_set *ms, const struct buffer *b) { const unsigned char *buf = CAST(const unsigned char *, b->fbuf); size_t nbytes = b->flen; /* * Do the tar test first, because if the first file in the tar * archive starts with a dot, we can confuse it with an nroff file. */ int tar; int mime = ms->flags & MAGIC_MIME; if ((ms->flags & (MAGIC_APPLE|MAGIC_EXTENSION)) != 0) return 0; tar = is_tar(buf, nbytes); if (tar < 1 || tar > 3) return 0; if (mime == MAGIC_MIME_ENCODING) return 1; if (file_printf(ms, "%s", mime ? "application/x-tar" : tartype[tar - 1]) == -1) return -1; return 1; } /* * Return * 0 if the checksum is bad (i.e., probably not a tar archive), * 1 for old UNIX tar file, * 2 for Unix Std (POSIX) tar file, * 3 for GNU tar file. */ private int is_tar(const unsigned char *buf, size_t nbytes) { const union record *header = RCAST(const union record *, RCAST(const void *, buf)); size_t i; int sum, recsum; const unsigned char *p, *ep; if (nbytes < sizeof(*header)) return 0; recsum = from_oct(header->header.chksum, sizeof(header->header.chksum)); sum = 0; p = header->charptr; ep = header->charptr + sizeof(*header); while (p < ep) sum += *p++; /* Adjust checksum to count the "chksum" field as blanks. */ for (i = 0; i < sizeof(header->header.chksum); i++) sum -= header->header.chksum[i]; sum += ' ' * sizeof(header->header.chksum); if (sum != recsum) return 0; /* Not a tar archive */ if (strncmp(header->header.magic, GNUTMAGIC, sizeof(header->header.magic)) == 0) return 3; /* GNU Unix Standard tar archive */ if (strncmp(header->header.magic, TMAGIC, sizeof(header->header.magic)) == 0) return 2; /* Unix Standard tar archive */ return 1; /* Old fashioned tar archive */ } /* * Quick and dirty octal conversion. * * Result is -1 if the field is invalid (all blank, or non-octal). */ private int from_oct(const char *where, size_t digs) { int value; if (digs == 0) return -1; while (isspace(CAST(unsigned char, *where))) { /* Skip spaces */ where++; if (digs-- == 0) return -1; /* All blank field */ } value = 0; while (digs > 0 && isodigit(*where)) { /* Scan til non-octal */ value = (value << 3) | (*where++ - '0'); digs--; } if (digs > 0 && *where && !isspace(CAST(unsigned char, *where))) return -1; /* Ended on non-(space/NUL) */ return value; }
C
5
thiagooak/php-src
ext/fileinfo/libmagic/is_tar.c
[ "PHP-3.01" ]
#! /usr/bin/env perl # Copyright 2006-2018 The OpenSSL Project Authors. All Rights Reserved. # # Licensed under the OpenSSL license (the "License"). You may not use # this file except in compliance with the License. You can obtain a copy # in the file LICENSE in the source distribution or at # https://www.openssl.org/source/license.html use strict; use warnings; use lib "."; use configdata; use File::Spec::Functions; my $versionfile = catfile( $config{sourcedir}, "include/openssl/opensslv.h" ); my ( $ver, $v1, $v2, $v3, $v4, $beta, $version ); open FD, $versionfile or die "Couldn't open include/openssl/opensslv.h: $!\n"; while (<FD>) { if (/OPENSSL_VERSION_NUMBER\s+(0x[0-9a-f]+)/i) { $ver = hex($1); $v1 = ( $ver >> 28 ); $v2 = ( $ver >> 20 ) & 0xff; $v3 = ( $ver >> 12 ) & 0xff; $v4 = ( $ver >> 4 ) & 0xff; $beta = $ver & 0xf; $version = "$v1.$v2.$v3"; if ( $beta == 0xf ) { $version .= chr( ord('a') + $v4 - 1 ) if ($v4); } elsif ( $beta == 0 ) { $version .= "-dev"; } else { $version .= "-beta$beta"; } last; } } close(FD); my $filename = $ARGV[0]; my $description = "OpenSSL library"; my $vft = "VFT_DLL"; if ( $filename =~ /openssl/i ) { $description = "OpenSSL application"; $vft = "VFT_APP"; } my $YEAR = [localtime()]->[5] + 1900; print <<___; #include <winver.h> LANGUAGE 0x09,0x01 1 VERSIONINFO FILEVERSION $v1,$v2,$v3,$v4 PRODUCTVERSION $v1,$v2,$v3,$v4 FILEFLAGSMASK 0x3fL #ifdef _DEBUG FILEFLAGS 0x01L #else FILEFLAGS 0x00L #endif FILEOS VOS__WINDOWS32 FILETYPE $vft FILESUBTYPE 0x0L BEGIN BLOCK "StringFileInfo" BEGIN BLOCK "040904b0" BEGIN // Required: VALUE "CompanyName", "The OpenSSL Project, https://www.openssl.org/\\0" VALUE "FileDescription", "$description\\0" VALUE "FileVersion", "$version\\0" VALUE "InternalName", "$filename\\0" VALUE "OriginalFilename", "$filename\\0" VALUE "ProductName", "The OpenSSL Toolkit\\0" VALUE "ProductVersion", "$version\\0" // Optional: //VALUE "Comments", "\\0" VALUE "LegalCopyright", "Copyright 1998-$YEAR The OpenSSL Authors. All rights reserved.\\0" //VALUE "LegalTrademarks", "\\0" //VALUE "PrivateBuild", "\\0" //VALUE "SpecialBuild", "\\0" END END BLOCK "VarFileInfo" BEGIN VALUE "Translation", 0x409, 0x4b0 END END ___
Perl
5
vanga-top/mediasoup
worker/deps/openssl/openssl/util/mkrc.pl
[ "0BSD" ]
;; ; ; Name: single_bind_tcp_shell ; Version: $Revision: 1633 $ ; License: ; ; This file is part of the Metasploit Exploit Framework ; and is subject to the same licenses and copyrights as ; the rest of this package. ; ; Description: ; ; Single portbind TCP shell. ; ; Meta-Information: ; ; meta-shortname=BSDi Bind TCP Shell ; meta-description=Listen on a port and spawn a shell ; meta-authors=skape <mmiller [at] hick.org> ; meta-os=bsdi ; meta-arch=ia32 ; meta-category=single ; meta-connection-type=bind ; meta-name=bind_tcp_shell ; meta-basemod=Msf::PayloadComponent::BindConnection ; meta-offset-lport=0x1f ;; BITS 32 %define USE_SINGLE_STAGE 1 %include "generic.asm" %include "stager_sock_bind.asm" shell: execve_binsh EXECUTE_REDIRECT_IO
Assembly
3
OsmanDere/metasploit-framework
external/source/shellcode/bsdi/ia32/single_bind_tcp_shell.asm
[ "BSD-2-Clause", "BSD-3-Clause" ]
title: Motovun Jack.pdf type: application/pdf tags: picture
Unity3D Asset
0
8d1h/TiddlyWiki5
editions/tw5.com/tiddlers/images/Motovun Jack.pdf.meta
[ "BSD-3-Clause" ]
//////////////////////////////////////////////////////////////////////////////// // ____ ____ // / /\/ / // /___/ \ / Vendor: Xilinx // \ \ \/ Version : 1.12 // \ \ Application : Virtex-6 FPGA GTX Transceiver Wizard // / / Filename : vertex6_gtx_rx_component.v // /___/ /\ // \ \ / \ // \___\/\___\ // // // Instantiation Template // Generated by Xilinx Virtex-6 FPGA GTX Transceiver Wizard // // // (c) Copyright 2009-2011 Xilinx, Inc. All rights reserved. // // This file contains confidential and proprietary information // of Xilinx, Inc. and is protected under U.S. and // international copyright and other intellectual property // laws. // // DISCLAIMER // This disclaimer is not a license and does not grant any // rights to the materials distributed herewith. Except as // otherwise provided in a valid license issued to you by // Xilinx, and to the maximum extent permitted by applicable // law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND // WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES // AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING // BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- // INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and // (2) Xilinx shall not be liable (whether in contract or tort, // including negligence, or under any other theory of // liability) for any loss or damage of any kind or nature // related to, arising under or in connection with these // materials, including for any direct, or any indirect, // special, incidental, or consequential loss or damage // (including loss of data, profits, goodwill, or any type of // loss or damage suffered as a result of any action brought // by a third party) even if such damage or loss was // reasonably foreseeable or Xilinx had been advised of the // possibility of the same. // // CRITICAL APPLICATIONS // Xilinx products are not designed or intended to be fail- // safe, or for use in any application requiring fail-safe // performance, such as life-support or safety devices or // systems, Class III medical devices, nuclear facilities, // applications related to the deployment of airbags, or any // other applications that could lead to death, personal // injury, or severe property or environmental damage // (individually and collectively, "Critical // Applications"). Customer assumes the sole risk and // liability of any use of Xilinx products in Critical // Applications, subject only to applicable laws and // regulations governing limitations on product liability. // // THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS // PART OF THIS FILE AT ALL TIMES. // Use the templates in this file to add the components generated by the wizard to your // design. //--------------------------- The GTX Wrapper ----------------------------- vertex6_gtx_rx_component # ( .WRAPPER_SIM_GTXRESET_SPEEDUP (0) // Set this to 1 for simulation ) vertex6_gtx_rx_component_i ( //_____________________________________________________________________ //_____________________________________________________________________ //GTX0 (X0Y0) //---------------------- Loopback and Powerdown Ports ---------------------- .GTX0_LOOPBACK_IN (), //--------------------- Receive Ports - 8b10b Decoder ---------------------- .GTX0_RXCHARISK_OUT (), .GTX0_RXDISPERR_OUT (), .GTX0_RXNOTINTABLE_OUT (), //------------- Receive Ports - Comma Detection and Alignment -------------- .GTX0_RXCOMMADET_OUT (), .GTX0_RXENMCOMMAALIGN_IN (), .GTX0_RXENPCOMMAALIGN_IN (), //----------------- Receive Ports - RX Data Path interface ----------------- .GTX0_RXDATA_OUT (), .GTX0_RXRESET_IN (), .GTX0_RXUSRCLK2_IN (), //----- Receive Ports - RX Driver,OOB signalling,Coupling and Eq.,CDR ------ .GTX0_RXEQMIX_IN (), .GTX0_RXN_IN (), .GTX0_RXP_IN (), //---------------------- Receive Ports - RX PLL Ports ---------------------- .GTX0_GTXRXRESET_IN (), .GTX0_MGTREFCLKRX_IN (), .GTX0_PLLRXRESET_IN (), .GTX0_RXPLLLKDET_OUT (), .GTX0_RXRESETDONE_OUT (), //-------------- Transmit Ports - 8b10b Encoder Control Ports -------------- .GTX0_TXCHARISK_IN (), //----------------------- Transmit Ports - GTX Ports ----------------------- .GTX0_GTXTEST_IN (), //---------------- Transmit Ports - TX Data Path interface ----------------- .GTX0_TXDATA_IN (), .GTX0_TXOUTCLK_OUT (), .GTX0_TXRESET_IN (), .GTX0_TXUSRCLK2_IN (), //-------------- Transmit Ports - TX Driver and OOB signaling -------------- .GTX0_TXDIFFCTRL_IN (), .GTX0_TXN_OUT (), .GTX0_TXP_OUT (), .GTX0_TXPOSTEMPHASIS_IN (), //------------- Transmit Ports - TX Driver and OOB signalling -------------- .GTX0_TXPREEMPHASIS_IN (), //--------------------- Transmit Ports - TX PLL Ports ---------------------- .GTX0_GTXTXRESET_IN (), .GTX0_MGTREFCLKTX_IN (), .GTX0_PLLTXRESET_IN (), .GTX0_TXPLLLKDET_OUT (), .GTX0_TXRESETDONE_OUT () ); //---------------------Dedicated GTX Reference Clock Inputs --------------- // Each dedicated refclk you are using in your design will need its own IBUFDS_GTXE1 instance IBUFDS_GTXE1 q0_clk0_refclk_ibufds_i ( .O (), .ODIV2 (), .CEB (), .I (), // Connect to package pin AK6 .IB () // Connect to package pin AK5 );
Verilog
3
Marslanali/fpga_vertex_6_gtx_Interface
vertex6_gtx_rx_component.veo
[ "MIT" ]
PREFIX : <http://example.org/> PREFIX xsd: <http://www.w3.org/2001/XMLSchema#> SELECT ?s (STRDT(?str,xsd:string) AS ?str1) WHERE { ?s :str ?str FILTER(LANGMATCHES(LANG(?str), "en")) }
SPARQL
3
alpano-unibz/ontop
test/sparql-compliance/src/test/resources/testcases-dawg-sparql-1.1/functions/strdt01.rq
[ "Apache-2.0" ]
@0xe0b7ff464fbc7ee1; struct Foo { bar @0 :Text; baz @1 :Text; }
Cap'n Proto
2
sahirgomez1/capnp-ts
packages/capnp-ts-test/test/integration/foo-new.capnp
[ "MIT" ]
--TEST-- Enum prevent unsetting value --FILE-- <?php enum Foo: int { case Bar = 0; } unset(Foo::Bar->value); ?> --EXPECTF-- Fatal error: Cannot use temporary expression in write context in %s on line %d
PHP
3
NathanFreeman/php-src
Zend/tests/enum/no-unsed-value.phpt
[ "PHP-3.01" ]
# docker wrapper that returns a nushell table def docker [ ...args:string # command to be passed to the real docker command ] { let data = (^docker $args --format={{json .}}|lines|each {$it|from json}) if Labels in ($data|get) { $data|docker labels } { $data } } # subcommand used to reformat docker labels into their own table def 'docker labels' [] { update Labels { get Labels| split row ','| where ($it|str starts-with ' ') == $false| split column '=' name value } }
Nu
4
CommonLoon102/scc
examples/language/docker.nu
[ "MIT", "Unlicense" ]
\ For testing REQUIRED etc 1+
Forth
0
jamesbowman/swapforth
anstests/required-helper2.fth
[ "BSD-3-Clause" ]
DROP TABLE IF EXISTS `User`; CREATE TABLE `User` ( `id` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL, `email` text COLLATE utf8mb4_unicode_ci NOT NULL, `name` text COLLATE utf8mb4_unicode_ci, `age` tinyint unsigned DEFAULT NULL, PRIMARY KEY (`id`) ) ENGINE = InnoDB DEFAULT CHARSET = utf8mb4 COLLATE = utf8mb4_unicode_ci; INSERT INTO `User` (`age`, `email`, `id`, `name`) VALUES ( NULL, 'a@a.de', '576eddf9-2434-421f-9a86-58bede16fd95', 'Alice' );
SQL
3
safareli/prisma
packages/client/src/__tests__/integration/errors/int-errors/setup.sql
[ "Apache-2.0" ]
;;;;;::=--------------------------------=::;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;;;::=- SuperCollider server options -=::;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;;;;;::=--------------------------------=::;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; (defun server-options () #m(arch undefined ; - the target architecture [current host] attrs () ; - list of additional target attributes channels undefined ; - attempts to force num of output audio channels compile undefined ; - compiles xtm file to native executable cpu undefined ; - the target cpu [current host] device-name undefined ; - a regex to match the name of the audio device ;; to use (output or duplex) (overrides index) device undefined ; - the index of the audio device to use (output or ;; duplex) frames 64 ; - attempts to force frames [64] inchannels undefined ; - attempts to force num of input audio channels indevice-name undefined ; - a regex to match the name of the audio input ;; device to use (overrides index) indevice undefined ; - the index of the audio input device to use latency undefined ; - attempts to force audio output latency noaudio undefined ; - set to 'true for no audio output: use a ;; "dummy" device (overrides 'device' option) nobase undefined ; - set to 'true to not load base lib on startup port 7099 ; - port for primary process run undefined ; - path to a scheme file to load at startup samplerate 48000 ; - audio samplerate [48000] sharedir undefined ; - location of the Extempore share dir ;; (which contains runtime/, libs/, examples/, ;; etc.) term nocolor ; - either ansi, cmd (windows), basic (for simpler ;; ansi terms), or nocolor timediv 1 ; - timed sub divisions of FRAMES for scheduling ;; engine (1 = no division which is the default) )) (defun server-options->strings (opts) (maps:fold (lambda (k v acc) (if (or (== v 'undefined) (== v '())) acc (lists:append acc (list (lists:flatten (lfe_io_format:fwrite1 "--~p=~p" `(,k ,v))))))) '() opts)) ;; This function is for display purposes when used in the REPL ;; and needs to be the last function in the include file. (defun |-- loaded include: xt/options --| () 'ok)
LFE
4
ioolkos/undertone
include/xt/options.lfe
[ "Apache-2.0" ]
{{ flashSession.output() }} <div class="row"> <div class="col-sm-12"> <div class="card card-secondary"> <div class="card-header"> <h3 class="card-title"> Migrations List <br/> <small>All migrations that we managed to find</small> </h3> <div class="card-tools"> {{ link_to(webtools_uri ~ "/migrations/generate", "Generate", 'class': 'btn btn-primary pull-right') }} </div> </div> <div class="card-body"> <table class="table table-hover table-bordered"> <thead> <tr> <th>Version</th> <th>Migration</th> <th>Size</th> <th>Owner</th> <th>Last modified</th> </tr> </thead> <tbody> {%- if migrations_dir is empty -%} <tr class="warning"> <td colspan="1"> <p class="text-center"> Sorry, Phalcon WebTools doesn't know where the migrations directory is.<br> Please add the valid path for <code>migrationsDir</code> in the <code>application</code> section. </p> </td> </tr> {%- else -%} {% for version, migration_files in migrations %} {% set rowspan = count(migration_files) %} {% set start = rowspan > 1 %} {% for file in migration_files %} <tr title="{{ version }}"> {% if rowspan <= 1 %} <th class="migration-version">{{ version }}</th> {% else %} {% if start is true %} <th rowspan="{{ rowspan }}" class="migration-version">{{ version }}</th> {% set start = false %} {%- endif -%} {%- endif -%} <td>{{ file.name }}</td> <td>{{ file.size }} b</td> <td>{{ file.owner }}</td> <td>{{ file.modified_time }}</td> </tr> {% endfor %} {% endfor %} {%- endif -%} </tbody> </table> </div> </div> </div> </div>
Volt
3
PSD-Company/phalcon-devtools-docker
src/Web/Tools/Views/migrations/index.volt
[ "BSD-3-Clause" ]
// MIT License // Copyright (c) 2019-2021 bloc97 // All rights reserved. // Permission is hereby granted, free of charge, to any person obtaining a copy // of this software and associated documentation files (the "Software"), to deal // in the Software without restriction, including without limitation the rights // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the Software is // furnished to do so, subject to the following conditions: // The above copyright notice and this permission notice shall be included in all // copies or substantial portions of the Software. // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE // AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, // OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE // SOFTWARE. //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x3 //!HOOK MAIN //!BIND MAIN //!SAVE conv2d_tf //!WIDTH MAIN.w //!HEIGHT MAIN.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (MAIN_texOff(vec2(x_off, y_off))) vec4 hook() { vec4 result = mat4(0.21686034, 0.010273451, 0.15376332, -0.22370663, -0.14823641, 0.05847777, -0.11170672, -0.2794799, 0.31577533, -0.105595954, 0.22051519, -0.3041742, 0.0, 0.0, 0.0, 0.0) * go_0(-1.0, -1.0); result += mat4(0.18516932, -0.55408335, -0.21974638, -0.12663211, 0.15778883, -0.00079428876, 0.09723738, 0.24894303, 0.5431219, 0.46600795, 0.25859228, 0.5342776, 0.0, 0.0, 0.0, 0.0) * go_0(-1.0, 0.0); result += mat4(-0.09650102, 0.14374134, 0.009930892, 0.20204046, 0.29794076, -0.2009416, 0.40836716, -0.10684464, -0.10803752, 0.05385496, -0.14949757, 0.11512128, 0.0, 0.0, 0.0, 0.0) * go_0(-1.0, 1.0); result += mat4(-0.13328597, -0.05603695, 0.2066786, -0.2341972, -0.312389, -0.11184745, 0.41893005, -0.38365173, 0.10591462, -0.17695336, -0.5522976, -0.37277612, 0.0, 0.0, 0.0, 0.0) * go_0(0.0, -1.0); result += mat4(-0.5247597, 0.44467092, 0.15017024, 0.23272365, -0.004378827, 0.5503159, 0.06559786, 0.63450027, -0.2821488, 0.70697284, 0.06037206, 0.14824837, 0.0, 0.0, 0.0, 0.0) * go_0(0.0, 0.0); result += mat4(0.27582723, 0.28981453, -0.27953598, -0.38641593, -0.069845125, -0.2876848, 0.42303023, 0.2096282, -0.46025985, 0.019995337, 0.14215434, -0.0032444412, 0.0, 0.0, 0.0, 0.0) * go_0(0.0, 1.0); result += mat4(-0.3542521, -0.1290754, -0.33536354, 0.07639946, -0.21480027, 0.5740277, -0.2068473, -0.24294598, 0.06887606, 0.12432943, -0.2565582, 0.00022530541, 0.0, 0.0, 0.0, 0.0) * go_0(1.0, -1.0); result += mat4(0.34990567, -0.117348365, 0.16015093, 0.2501366, 0.19090433, -0.5718451, -0.22541083, 0.00674141, -0.1110584, -0.13668513, 0.14688468, -0.021032542, 0.0, 0.0, 0.0, 0.0) * go_0(1.0, 0.0); result += mat4(-0.11405209, -0.19855933, 0.18547794, 0.22860141, 0.13999332, 0.14210562, -0.33748418, -0.122842506, -0.15546343, -0.024134178, -0.21489416, -0.0865141, 0.0, 0.0, 0.0, 0.0) * go_0(1.0, 1.0); result += vec4(0.006117499, -0.0031791371, 0.048566718, -0.021858927); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x3 //!HOOK MAIN //!BIND MAIN //!SAVE conv2d_tf1 //!WIDTH MAIN.w //!HEIGHT MAIN.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (MAIN_texOff(vec2(x_off, y_off))) vec4 hook() { vec4 result = mat4(0.10929366, 0.327926, 0.4713077, 0.19815566, 0.09252597, -0.12897652, 0.14017919, -0.117154755, 0.07230293, 0.10565211, 0.047754508, -0.1503215, 0.0, 0.0, 0.0, 0.0) * go_0(-1.0, -1.0); result += mat4(0.0026017402, -0.056956105, 0.0695359, -0.40459624, -0.41438407, -0.24114844, 0.673736, 0.22991985, 0.17312498, -0.36519593, -0.3227756, -0.31550214, 0.0, 0.0, 0.0, 0.0) * go_0(-1.0, 0.0); result += mat4(-0.3247658, 0.18215618, -0.21491867, 0.10206452, 0.35056487, -0.04285168, -0.34823352, 0.2470923, 0.25979036, -0.48504788, -0.13086547, 0.099075995, 0.0, 0.0, 0.0, 0.0) * go_0(-1.0, 1.0); result += mat4(-0.040807806, -0.30899513, 0.2068589, 0.17732157, -0.086111076, 0.3898061, -0.11504756, -0.20005062, -0.29525205, -0.107833266, 0.227913, 0.06954518, 0.0, 0.0, 0.0, 0.0) * go_0(0.0, -1.0); result += mat4(0.4532243, 0.21249862, -0.24575852, 0.11716148, 0.13279238, 0.8276753, -0.100262396, -0.14868626, -0.05340188, 0.44897172, 0.18865296, -0.57959807, 0.0, 0.0, 0.0, 0.0) * go_0(0.0, 0.0); result += mat4(-0.4039624, 0.09238004, -0.0056891013, 0.67555726, 0.14713438, -0.18302856, 0.022408731, 0.26836616, -0.4203644, -0.3223556, -0.476889, -0.36540377, 0.0, 0.0, 0.0, 0.0) * go_0(0.0, 1.0); result += mat4(0.07463623, -0.13695839, 0.19964464, 0.034749743, 0.0656226, -0.12622209, -0.18529165, -0.2443194, -0.14840299, 0.010471225, -0.30794603, 0.06472215, 0.0, 0.0, 0.0, 0.0) * go_0(1.0, -1.0); result += mat4(0.24495342, 0.2709279, 0.46451533, -0.1110042, 0.059573397, 0.08838069, -0.45778695, -0.090110734, 0.014180886, -0.3838859, -0.154384, 0.3170096, 0.0, 0.0, 0.0, 0.0) * go_0(1.0, 0.0); result += mat4(-0.10225649, 0.17237318, 0.12612183, 0.13250452, -0.21184945, -0.014274503, -0.03265513, -0.1426008, -0.51739746, -0.20366845, 0.29887617, 0.16982934, 0.0, 0.0, 0.0, 0.0) * go_0(1.0, 1.0); result += vec4(0.006826314, 0.00461317, -0.026852833, -0.057010923); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x3 //!HOOK MAIN //!BIND MAIN //!SAVE conv2d_tf2 //!WIDTH MAIN.w //!HEIGHT MAIN.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (MAIN_texOff(vec2(x_off, y_off))) vec4 hook() { vec4 result = mat4(0.0471075, 0.31225806, -0.37929785, 0.43969426, -0.0020258147, -0.17849202, 0.18287076, 0.5349646, 0.26426196, -0.07494979, 0.043889828, 0.083557904, 0.0, 0.0, 0.0, 0.0) * go_0(-1.0, -1.0); result += mat4(0.30102602, -0.20380482, -0.48910898, -0.132322, 0.056846913, 0.123972304, 0.16173325, 0.07034413, -0.21596576, -0.069037, 0.3502346, 0.25920063, 0.0, 0.0, 0.0, 0.0) * go_0(-1.0, 0.0); result += mat4(-0.45725793, 0.33194527, 0.31424007, 0.02424403, -0.5363229, -0.29947516, -0.1431686, 0.42444733, 0.22996962, 0.2109503, -0.09393614, 0.33772293, 0.0, 0.0, 0.0, 0.0) * go_0(-1.0, 1.0); result += mat4(-0.024214078, 0.33155, 0.20300971, -0.36914715, -0.16345179, 0.5682778, -0.26810458, -0.42982668, -0.14192776, -0.110919, 0.42419475, -0.1473602, 0.0, 0.0, 0.0, 0.0) * go_0(0.0, -1.0); result += mat4(0.18150777, -0.47733742, 0.10404226, 0.21457794, 0.37720117, 0.13280968, 0.008208851, 0.059821837, 0.443415, 0.030501857, 0.13587411, 0.080713995, 0.0, 0.0, 0.0, 0.0) * go_0(0.0, 0.0); result += mat4(-0.18850364, -0.3472835, 0.49484876, -0.06648983, 0.03814947, 0.27776024, -0.04688367, 0.61331964, -0.2776909, -0.36696884, 0.03983977, -0.35913125, 0.0, 0.0, 0.0, 0.0) * go_0(0.0, 1.0); result += mat4(0.19481012, -0.08641656, 0.011285091, -0.35443705, -0.17543805, -0.45401692, -0.5278059, -0.14485542, 0.006704323, -0.17372592, -0.07998461, 0.1811669, 0.0, 0.0, 0.0, 0.0) * go_0(1.0, -1.0); result += mat4(0.0059836046, 0.053937424, -0.2764704, 0.096112974, 0.36684337, 0.26575375, 0.563075, 0.45542747, 0.15248352, 0.11391156, -0.29306483, -0.1514665, 0.0, 0.0, 0.0, 0.0) * go_0(1.0, 0.0); result += mat4(-0.035114568, -0.13244304, -0.07839212, 0.39952558, 0.06760725, 0.2142741, -0.020275498, 0.3155373, 0.16888031, 0.24090965, -0.3730481, 0.1806138, 0.0, 0.0, 0.0, 0.0) * go_0(1.0, 1.0); result += vec4(-0.005380107, -0.017430196, 0.03937373, 0.0043463805); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x3 //!HOOK MAIN //!BIND MAIN //!SAVE conv2d_tf3 //!WIDTH MAIN.w //!HEIGHT MAIN.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (MAIN_texOff(vec2(x_off, y_off))) vec4 hook() { vec4 result = mat4(0.049419224, 0.15691243, 0.39030707, 0.017580656, 0.08154996, -0.23705184, -0.15799701, 0.040712252, -0.3821994, 0.07067287, 0.01839085, 0.030687721, 0.0, 0.0, 0.0, 0.0) * go_0(-1.0, -1.0); result += mat4(0.020802025, 0.33823022, -0.052135084, 0.3542869, -0.0027859134, 0.44006044, -0.16127233, -0.22381315, 0.2574494, -0.25050887, 0.20496298, 0.009993323, 0.0, 0.0, 0.0, 0.0) * go_0(-1.0, 0.0); result += mat4(-0.08769917, -0.1953583, 0.05949845, 0.01795218, 0.3972092, -0.044264503, -0.4756617, 0.37460735, 0.09788464, 0.48144168, 0.080894485, 0.06296183, 0.0, 0.0, 0.0, 0.0) * go_0(-1.0, 1.0); result += mat4(0.018645043, 0.019118845, 0.19234078, -0.39879698, 0.3848868, 0.104610726, 0.29154545, -0.028288463, -0.31086552, 0.5709823, -0.22434935, -0.5021053, 0.0, 0.0, 0.0, 0.0) * go_0(0.0, -1.0); result += mat4(0.46135244, 0.07460708, -0.20591648, -0.31916717, -0.38675314, 0.107762225, 0.39979035, -0.6061402, -0.40462908, -0.17135368, 0.26059985, 0.033156518, 0.0, 0.0, 0.0, 0.0) * go_0(0.0, 0.0); result += mat4(-0.057017997, 0.39801362, 0.26862207, -0.28336683, 0.23420385, -0.17003912, 0.017628595, -0.21126425, -0.23548096, -0.2774119, 0.18068078, 0.013097709, 0.0, 0.0, 0.0, 0.0) * go_0(0.0, 1.0); result += mat4(0.14194304, -0.15504828, 0.008901963, 0.30057347, -0.4207854, -0.07842078, -0.073276505, -0.2544436, 0.1802911, 0.2420754, -0.42773435, 0.2522558, 0.0, 0.0, 0.0, 0.0) * go_0(1.0, -1.0); result += mat4(0.19879274, -0.037631564, -0.48757973, 0.17617616, 0.12550192, 0.25250614, -0.69017535, -0.3262703, -0.42006296, -0.5177533, -0.45128047, -0.32255673, 0.0, 0.0, 0.0, 0.0) * go_0(1.0, 0.0); result += mat4(-0.11818855, 0.023456054, -0.3039647, 0.01846073, 0.27628344, 0.087394774, -0.31707954, -0.1830862, 0.48208076, 0.08061034, -0.0324067, -0.11835895, 0.0, 0.0, 0.0, 0.0) * go_0(1.0, 1.0); result += vec4(0.0015710528, -0.040573142, -0.0067538484, 0.017224679); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_tf //!BIND conv2d_tf1 //!BIND conv2d_tf2 //!BIND conv2d_tf3 //!SAVE conv2d_2_tf //!WIDTH conv2d_tf.w //!HEIGHT conv2d_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(0.16682588, 0.16400978, 0.1757737, -0.021072395, 0.06539432, -0.16751267, 0.058869474, -0.099648096, 0.17858149, 0.069162704, 0.060763087, -0.0552454, 0.1828016, 0.033170946, 0.02926846, -0.028046839) * go_0(-1.0, -1.0); result += mat4(-0.16627714, 0.038792863, 0.21548623, 0.089160435, 0.14856382, 0.015014318, -0.21442959, -0.022967536, 0.17467047, -0.009386143, -0.10867876, -0.10340466, 0.02159861, 0.06991594, -0.1119627, -0.066545576) * go_0(-1.0, 0.0); result += mat4(-0.052230895, -0.018615242, -0.11445917, 0.20970617, -0.084426574, -0.013301296, 0.04667932, -0.07582495, 0.07844388, 0.00012446557, -0.07266012, 0.08583548, -0.02102188, -0.11897397, -0.11998327, -0.18759511) * go_0(-1.0, 1.0); result += mat4(-0.04358097, 0.014953064, -0.074998334, -0.19127296, 0.16845511, -0.04516635, 0.02583239, -0.047779176, -0.12151052, -0.1124019, 0.029203191, -0.018370887, -0.14904961, -0.09657445, 0.020365175, -0.05846497) * go_0(0.0, -1.0); result += mat4(0.25461844, -0.060104672, -0.14170858, 0.069125645, -0.1670495, 0.09117099, -0.05437694, -0.03770912, 0.07687557, -0.019987138, -0.03828993, -0.036767155, -0.17758714, 0.2593606, -0.04066676, 0.055565428) * go_0(0.0, 0.0); result += mat4(0.08597206, -0.011373685, 0.11531317, -0.13527994, 0.01074891, 0.022915367, -0.05613657, -0.0019634536, -0.046051264, 0.04448185, -0.26410443, -0.08412236, 0.07554895, -0.39869463, -0.23130144, 0.060447454) * go_0(0.0, 1.0); result += mat4(0.08946055, 0.08202704, 0.079762414, -0.048531603, 0.08040403, 0.010686519, -0.087924965, -0.031123916, 0.016973065, 0.010001628, -0.011202491, -0.03149303, 0.03803412, -0.008884727, -0.18052368, -0.09137474) * go_0(1.0, -1.0); result += mat4(-0.02726759, 0.21556567, 0.004814665, 0.057784032, 0.07907243, 0.033794418, -0.02036775, 0.0027191124, 0.08991113, 0.098211594, 0.07318809, -0.12720437, -0.060651563, 0.14401628, -0.035520233, -0.14350496) * go_0(1.0, 0.0); result += mat4(-0.036229495, -0.023633955, 0.23254488, -0.025807278, -0.027887143, 0.015893005, -0.010803646, -0.15636021, -0.13111556, 0.024331553, -0.01490455, 0.13553609, 0.027496863, -0.25810578, -0.1345966, 0.09652125) * go_0(1.0, 1.0); result += mat4(0.11428291, 0.27346528, 0.1849472, 0.24622405, 0.050756928, 0.07492283, 0.01873704, -0.0929874, 0.04518344, 0.06052399, -0.08201803, 0.023678334, -0.054044113, 0.07687756, -0.24156125, 0.118543856) * go_1(-1.0, -1.0); result += mat4(-0.10255773, 0.058314987, -0.012948728, 0.22051606, 0.08234475, -0.024384284, -0.066541836, -0.0045136414, 0.14321695, -0.021375086, -0.018986465, 0.25354996, 0.032398373, 0.0074365274, -0.07150176, -0.0842891) * go_1(-1.0, 0.0); result += mat4(-0.3070068, 0.13025287, 0.09119921, -0.014824796, -0.25336218, 0.13276166, 0.07451352, 0.071450256, -0.04538872, -0.06761559, -0.08009838, 0.053507026, -0.028579384, 0.12820083, -0.05414399, 0.02820338) * go_1(-1.0, 1.0); result += mat4(0.25568405, -0.09424015, 0.064411856, 0.037094396, 0.089236505, 0.11341471, 0.06519967, -0.11673984, -0.07431905, 0.032323904, 0.012612807, -0.037857708, -0.09549262, 0.019785486, 0.11215783, -0.08178563) * go_1(0.0, -1.0); result += mat4(-0.12977616, 0.052315574, 0.19321385, -0.23796389, -0.1430282, 0.033092096, 0.13771, -0.1681169, 0.07370609, -0.06530381, 0.023147697, 0.11661184, 0.009935798, -0.033072658, -0.1157439, 0.167107) * go_1(0.0, 0.0); result += mat4(0.022870995, -0.051999938, 0.09499206, -0.050381728, -0.07750411, -0.07534439, -0.15148367, 0.10671288, -0.07895085, 0.08590099, -0.039177563, 0.04156403, 0.03901156, 0.0019494012, -0.082597494, -0.045954913) * go_1(0.0, 1.0); result += mat4(0.18670611, 0.04035675, 0.010265794, 0.13104586, 0.015118543, 0.020945968, -0.08077425, 0.12478306, 0.033348877, -0.050095998, -0.021956673, -0.15989247, 0.0703153, -0.22443427, 0.09721435, 0.09415636) * go_1(1.0, -1.0); result += mat4(0.022562401, -0.21802509, -0.13968697, 0.030495679, 0.20164397, -0.14806582, -0.16575468, 0.07708878, -0.007932748, 0.0076615694, 0.06960648, -0.09071667, -0.071091525, 0.014406244, -0.04066828, 0.07381237) * go_1(1.0, 0.0); result += mat4(0.098004915, -0.15594271, 0.16878232, -0.13722226, 0.22940964, -0.009132059, -0.00984221, -0.10996952, -0.1617233, -0.011615988, -0.064739786, -0.21046808, 0.029180123, -0.10817059, 0.081083305, -0.124370016) * go_1(1.0, 1.0); result += mat4(0.04555113, -0.038119707, -0.037176583, -0.22539136, 0.057313137, 0.0024502992, 0.11532159, -0.006040425, 0.013644908, -0.22676414, 0.045331072, 0.12293299, 0.022487158, -0.061195657, -0.15630952, -0.04152167) * go_2(-1.0, -1.0); result += mat4(0.019613482, 0.07709181, -0.0667477, 0.030783981, -0.051050212, 0.13300157, -0.02746384, 0.044673294, 0.041831452, -0.12082941, 0.24011718, -0.13198936, -0.12387437, 0.11518795, 0.12564468, 0.0048698136) * go_2(-1.0, 0.0); result += mat4(0.018528216, 0.06411587, -0.12267898, -0.024469404, 0.13344407, 0.09435489, -0.11681974, 0.13422827, 0.23464775, -0.13637649, -0.13120876, 0.16024348, -0.1178978, -0.0033701332, 0.05109847, -0.121679015) * go_2(-1.0, 1.0); result += mat4(0.008721387, 0.07300866, 0.056996226, -0.04116479, 0.2858162, -0.03170533, -0.06512709, 0.07614593, 0.02063735, -0.10648821, 0.06545271, -0.07760196, 0.11181356, 0.09734669, 0.06384592, 0.13856758) * go_2(0.0, -1.0); result += mat4(-0.087809436, 0.026485445, -0.10262454, -0.067591794, -0.054495905, -0.13071996, 0.007614136, -0.18144777, 0.1451436, 0.076285824, -0.006134546, -0.09420317, 0.059833933, 0.084446974, -0.08009216, -0.07066621) * go_2(0.0, 0.0); result += mat4(0.21006338, -0.12184664, -0.18929327, 0.07800224, -0.032166578, 0.042057462, 0.030147228, -0.18111266, 0.06385915, 0.056353245, -0.08566922, 0.246077, 0.022679256, -0.046758424, -0.013280484, 0.048559744) * go_2(0.0, 1.0); result += mat4(-0.016968472, 0.06551541, 0.10248965, -0.019251779, 0.12909546, -0.061840314, -0.006220995, -0.027636442, -0.023421615, -0.13997608, 0.22226256, -0.00414297, -0.11852816, 0.0030413773, -0.0484824, -0.057998173) * go_2(1.0, -1.0); result += mat4(-0.074645035, -0.037241343, 0.093852654, -0.08116666, 0.03477197, -0.115568645, -0.10765692, 0.0003785455, 0.059631344, 0.13411269, 0.17720251, 0.09270491, 0.004923464, 0.118155435, 0.051029027, 0.019561961) * go_2(1.0, 0.0); result += mat4(-0.11729622, 0.08133092, -0.1565527, 0.1092305, -0.044586428, 0.038454134, 0.1805931, 0.065337844, -0.033772465, 0.18221322, 0.064187706, 0.15034407, -0.112804286, -0.09195703, -0.06559008, -0.029188333) * go_2(1.0, 1.0); result += mat4(-0.10510915, -0.0776238, -0.02661216, -0.07667854, 0.015220721, -0.16932015, -0.15212865, -0.12440911, 0.10847065, 0.16949058, 0.20047556, 0.06391445, 0.06942035, 0.09796073, -0.04969445, 0.18864428) * go_3(-1.0, -1.0); result += mat4(0.050649058, 0.07098103, -0.0473734, -0.017548949, 0.059222713, -0.11837112, -0.1502057, 0.13990685, 0.16519493, -0.007813526, -0.015865954, 0.11118964, -0.0921189, 0.11554642, 0.09068235, -0.054495323) * go_3(-1.0, 0.0); result += mat4(0.010653917, 0.071099974, -0.008376932, 0.08623703, 0.037236527, 0.05155848, -0.10741108, -0.12480437, -0.036548067, -0.02779435, 0.21860917, 0.110088535, 0.12381749, 0.0013657579, 0.078342445, 0.15400365) * go_3(-1.0, 1.0); result += mat4(-0.044285372, -0.080408566, -0.082381204, -0.05444333, 0.09583508, -0.04366566, -0.18833442, -0.048229303, 0.12010392, 0.028752124, 0.20307614, -0.025710972, 0.07631876, -0.039822593, -0.21747215, -0.11503206) * go_3(0.0, -1.0); result += mat4(0.15301265, -0.0904066, -0.13152894, 0.025233751, -0.0096486695, -0.047325417, 0.015993157, -0.074668825, 0.03168052, -0.12000325, 0.048012275, 0.04170218, 0.087761246, 0.114786044, -0.15148023, -0.039366517) * go_3(0.0, 0.0); result += mat4(0.020880366, -0.06214199, -0.007097687, 0.017239975, -0.10893327, 0.076604076, -0.06110473, -0.08351579, 0.057976708, -0.11395709, -0.07283605, 0.17210332, 0.13145506, -0.034735806, 0.079893544, 0.027503777) * go_3(0.0, 1.0); result += mat4(-0.064012215, -0.009359275, 0.051874913, 0.07147825, -0.002497903, -0.072561875, 0.06659626, 0.05593401, -0.0019645633, -0.0017003771, 0.0058332747, -0.03824299, 0.092494816, -0.16331163, -0.07637431, -0.1316867) * go_3(1.0, -1.0); result += mat4(-0.012422661, 0.19522803, 0.08242971, -0.022447145, -0.08470463, 0.013340826, 0.022906132, 0.0104356585, -0.05838931, -0.22278416, -0.07702832, -0.03898843, -0.2222767, 0.020577319, -0.048793092, -0.20062482) * go_3(1.0, 0.0); result += mat4(0.101836815, -0.07303682, 0.06112855, 0.07785088, -0.000851969, 0.1227914, -0.0124482615, 0.042857908, -0.0614457, 0.021257306, -0.047207817, -0.17122878, -0.20265298, 0.05639956, 0.13556977, -0.38614172) * go_3(1.0, 1.0); result += mat4(-0.088439435, -0.13450874, 0.023986593, 0.06869799, 0.05181423, -0.041318443, 0.23758505, -0.003188584, -0.20574366, -0.08783116, -0.16370814, -0.10861661, -0.04101733, -0.25832054, 0.024531696, -0.052762356) * go_4(-1.0, -1.0); result += mat4(0.06963789, -0.1523674, -0.13724455, 0.02417662, -0.26311964, 0.048317496, 0.033046376, -0.073426016, -0.07795718, -0.06680464, -0.10631037, -0.17531694, -0.00028496052, -0.18643321, -0.06544361, -0.260227) * go_4(-1.0, 0.0); result += mat4(0.041163392, 0.1538335, 0.024395503, -0.22399011, 0.2949855, -0.046959065, 0.15241133, 0.1848325, 0.0073397346, -0.017275874, 0.20777975, -0.086460754, -0.03622649, 0.06786584, -0.06431515, -0.01926139) * go_4(-1.0, 1.0); result += mat4(0.05714057, 0.026254643, 0.06006601, 0.044767264, -0.13143657, 0.077170044, 0.0218321, 0.3374874, 0.11799663, 0.07651933, -0.18386526, 0.12819925, 0.0458167, 0.031566396, -0.02104284, 0.060249478) * go_4(0.0, -1.0); result += mat4(-0.15578985, -0.043274876, -0.06848441, -0.22675386, 0.34348467, 0.04755662, -0.120318204, 0.21213302, 0.22091343, 0.12801792, -0.27103272, 0.009107759, 0.28275114, -0.2595034, -0.08657963, -0.1385154) * go_4(0.0, 0.0); result += mat4(-0.048247293, 0.006379949, 0.07069376, -0.03797948, -0.07503996, 0.10124351, 0.25479224, -0.012689729, -0.13646767, 0.063495666, -0.10367744, 0.02457448, 0.09329864, 0.25692573, 0.14967956, -0.11331509) * go_4(0.0, 1.0); result += mat4(0.11566507, -0.10061327, -0.15576088, -0.091777846, 0.008444853, -0.08745054, -0.033295806, 0.0029031383, -0.030447904, 0.0064194244, 0.09609729, -0.12425308, -0.13877183, 0.06545948, 0.018649856, -0.00038733307) * go_4(1.0, -1.0); result += mat4(0.021538408, -0.031782147, 0.053700346, -0.023047661, 0.06118648, 0.09422846, 0.15563804, -0.019954393, 0.058209274, -0.096121445, 0.0006476186, 0.0044233687, 0.10033549, -0.05667658, 0.0046613375, -0.21005854) * go_4(1.0, 0.0); result += mat4(0.09127173, -0.13292567, 0.026308151, -0.086961046, -0.00038384288, -0.021899618, -0.018954279, -0.06198408, 0.083354875, -0.07151073, 0.05365628, -0.07579846, 0.032780807, 0.2582205, -0.10887159, -0.08340997) * go_4(1.0, 1.0); result += mat4(0.03234336, -0.09737819, 0.005996931, -0.029132001, -0.13736439, -0.019345973, -0.13236563, 0.06412147, -0.012885312, 0.003402039, 0.07691811, 0.053523198, 0.047960896, -0.15073822, 0.07127285, -0.12797488) * go_5(-1.0, -1.0); result += mat4(0.0013998925, 0.10343592, -0.03278372, -0.04077459, -0.04884479, 0.019157771, -0.035050172, -0.1138655, 0.0073900735, 0.06231151, -0.057525188, -0.18135616, 0.054992713, -0.20210464, 0.07046144, -0.04294392) * go_5(-1.0, 0.0); result += mat4(0.057260677, -0.09056544, -0.15916282, 0.099339016, 0.16303736, -0.18345179, -0.031675916, 0.010661271, -0.13354564, 0.009094732, -0.123463884, -0.16987814, 0.040181488, -0.12794387, 0.20167524, -0.0942567) * go_5(-1.0, 1.0); result += mat4(0.028133342, -0.0070152264, 0.027720878, -0.17349002, 0.04688365, -0.050090306, 0.062954105, 0.07243229, 0.056431357, -0.041695453, 0.02747664, 0.050903425, 0.1544682, 0.36754557, -0.16574225, -0.045575242) * go_5(0.0, -1.0); result += mat4(0.07568822, -0.015356766, 0.062736675, -0.12429261, 0.006161586, -0.06951273, 0.0054048044, 0.0028502627, 0.07468177, -0.051956825, -0.034254014, 0.0506702, 0.16182432, -0.036455415, 0.14812818, 0.06563189) * go_5(0.0, 0.0); result += mat4(-0.029565258, 0.028832972, 0.052721135, -0.11605627, 0.016583271, 0.0783395, 0.08374811, -0.15612024, 0.050813407, -0.14781949, 0.050757557, 0.047298737, -0.054435518, -0.0947514, 0.05424098, 0.03920314) * go_5(0.0, 1.0); result += mat4(0.02041634, -0.094589, 0.017068772, -0.016447546, -0.07200135, -0.0031161357, 0.10459771, -0.13401397, 0.04388721, 0.007574108, -0.024857935, 0.08437274, 0.017542962, 0.0050615096, 0.0025386487, -0.058008164) * go_5(1.0, -1.0); result += mat4(-0.074039295, 0.01593561, 0.027271466, -0.01622838, -0.12313946, 0.29065675, 0.0666616, -0.0015515542, -0.027692154, 0.11814952, -0.15590793, 0.0016750757, -0.055199716, -0.11188217, -0.041076142, 0.055293556) * go_5(1.0, 0.0); result += mat4(-0.087336674, 0.09597909, 0.032252833, 0.019957634, -0.14232716, -0.037647195, -0.018637605, 0.028734578, 0.098073855, -0.039794624, 0.092389226, 0.16911197, -0.009319175, 0.12036487, -0.011530916, 0.080162555) * go_5(1.0, 1.0); result += mat4(-0.024965037, 0.006104625, 0.10367222, 0.07385069, -0.15523866, 0.18478672, -0.28199175, 0.03124214, -0.106478676, 0.1969974, -0.0022582007, 0.0043790154, 0.013964622, -0.10033643, 0.07260623, -0.124574065) * go_6(-1.0, -1.0); result += mat4(0.1866749, 0.21620537, -0.012563025, 0.03262129, 0.1719916, -0.053168118, 0.1302181, 0.21435094, -0.13355109, 0.06338094, -0.21260814, -0.014875881, 0.2550572, 0.03543736, -0.028924052, 0.34301576) * go_6(-1.0, 0.0); result += mat4(0.014582116, 0.107564695, 0.19177647, 0.047451418, -0.11816758, -0.037558496, 0.37259078, -0.018045045, -0.14484513, 0.014460476, -0.006206022, -0.22719343, 0.06953869, -0.036870986, -0.0055092354, 0.21955575) * go_6(-1.0, 1.0); result += mat4(0.25376984, 0.03961877, 0.12551436, 0.33974785, -0.27738678, -0.012565747, 0.08306037, -0.16246852, -0.09256709, 0.06350151, -0.0019622499, 0.14914742, 0.21517865, 0.15766472, 0.4066891, -0.20577961) * go_6(0.0, -1.0); result += mat4(0.21415462, -0.0642115, -0.28112733, 0.27817658, -0.20207204, -0.06520876, -0.13293326, 0.0953727, 0.11732344, -0.02437645, 0.07841982, 0.081664644, 0.15626748, -0.06634179, 0.0855079, 0.34586227) * go_6(0.0, 0.0); result += mat4(-0.05047869, 0.16492498, 0.11043203, 0.0057451506, 0.1889248, 0.007079426, -0.058276135, 0.21064675, -0.059098043, -0.19127457, -0.013977541, -0.1847022, -0.051189642, -0.27713004, 0.09603268, 0.36067933) * go_6(0.0, 1.0); result += mat4(-0.067639776, -0.22933814, -0.07072787, -0.09514877, 0.0036013937, 0.054084364, 0.16150047, -0.09798026, -0.025709623, -0.04036443, -0.09191741, 0.12434371, 0.011584389, 0.0500184, 0.13453145, -0.04406909) * go_6(1.0, -1.0); result += mat4(0.093614265, 0.08832574, -0.019384595, 0.33492145, 0.024007287, 0.20037757, 0.06563748, -0.08472612, -0.07865445, -0.017250929, -0.21227354, -0.15559788, 0.22698876, -0.062241085, -0.050376724, 0.104179695) * go_6(1.0, 0.0); result += mat4(0.1361344, -0.054771457, 0.21874528, -0.13601023, 0.04159267, 0.04265182, -0.1952905, -0.006956085, -0.039083548, 0.12852322, 0.001135891, -0.12257516, 0.20699623, 0.037602983, -0.23034777, 0.2659882) * go_6(1.0, 1.0); result += mat4(0.0074865655, -0.05454164, 0.0086328, 0.12537627, -0.19097276, 0.010964307, 0.09877973, -0.060631316, 0.0035393643, -0.010404835, 0.056712646, -0.13026424, -0.08125458, 0.08328297, -0.024453856, -0.019881193) * go_7(-1.0, -1.0); result += mat4(0.2146004, 0.009173491, 0.06430178, 0.1115497, 0.2286379, 0.07678605, -0.074050754, -0.4544871, 0.04180918, 0.02466224, 0.049769487, -0.040270872, 0.031240942, -0.015997326, -0.05564773, 0.13276885) * go_7(-1.0, 0.0); result += mat4(-0.024886066, -0.10454424, -0.008339705, -0.19566591, 0.017025474, -0.05540896, -0.14112535, 0.028222617, -0.110432364, -0.0370566, -0.060746565, -0.004373458, -0.110383295, 0.06892138, 0.057743933, 0.023001496) * go_7(-1.0, 1.0); result += mat4(-0.07039479, -0.08098219, -0.0517122, 0.14518479, -0.0024635883, 0.08573159, 0.08298556, 0.19724075, 0.08604213, 0.026222989, 0.039014954, 0.027334757, 0.032409273, -0.012616069, 0.20315504, -0.18313569) * go_7(0.0, -1.0); result += mat4(-0.25649765, 0.027311508, 0.18878505, -0.16631337, 0.077981934, 0.14177446, -0.045889527, 0.08531879, 0.05342123, 0.07260306, -0.024213074, -0.01107666, 0.10646281, 0.020352455, -0.06365357, -0.09970133) * go_7(0.0, 0.0); result += mat4(-0.11130239, 0.07479549, -0.06315088, -0.08944423, 0.23731343, -0.059101656, -0.03792892, -0.08729022, -0.044306744, 0.098353304, -0.026851522, 0.055906583, -0.0229506, 0.007420558, -0.05338183, 0.07801898) * go_7(0.0, 1.0); result += mat4(0.10403469, 0.11227043, -0.21066704, -0.09841933, 0.1123802, -0.09163859, 0.029262666, -0.02716128, -0.07741291, -0.12595192, 0.056868527, 0.11314479, 0.068367966, -0.048116703, 0.03942078, -0.049022034) * go_7(1.0, -1.0); result += mat4(0.06663052, -0.18349448, -0.060040575, -0.034590982, 0.19210911, -0.16136944, 0.1027474, -0.026148252, 0.1331118, 0.08373371, 0.07543836, -0.0821376, -0.08116568, 0.028726097, -0.039574195, 0.12940447) * go_7(1.0, 0.0); result += mat4(-0.0755444, -0.02010773, 0.12867439, -0.1612916, 0.11019535, -0.036212057, 0.08348267, 0.076423444, 0.103842124, 0.043353815, 0.005119714, -0.041111667, 0.19236392, -0.094081365, 0.088794835, -0.0032366752) * go_7(1.0, 1.0); result += vec4(0.025721604, 0.008808415, -0.0029403395, 0.03648866); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_tf //!BIND conv2d_tf1 //!BIND conv2d_tf2 //!BIND conv2d_tf3 //!SAVE conv2d_1_tf //!WIDTH conv2d_tf.w //!HEIGHT conv2d_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.05523119, -0.09518896, 0.08921959, -0.13052566, -0.013512739, 0.047997378, 0.16674618, 0.019661155, 0.1088371, 0.040083896, -0.004689575, -0.036687367, -0.015716005, 0.049643658, -0.011459498, -0.064227246) * go_0(-1.0, -1.0); result += mat4(-0.0014415162, -0.14803964, -0.10233617, -0.025700033, 0.09305118, -0.041833147, -0.017107604, -0.050550215, -0.055211663, 0.009147919, 0.07102604, 0.0067789825, 0.017316047, 0.032877374, 0.15263063, 0.031808965) * go_0(-1.0, 0.0); result += mat4(0.11732844, 0.0910447, -0.081579626, 0.013813927, -0.07561606, 0.07621211, -0.08448194, 0.054920398, -0.043369707, 0.07710235, 0.04483282, -0.065252446, -0.01860033, -0.09282624, -0.042522658, -0.015202259) * go_0(-1.0, 1.0); result += mat4(0.045474872, 0.10024481, -0.06166239, 0.12003297, -0.016422411, -0.05285928, 0.058388602, -0.1718166, 0.020738792, -0.0068486542, -0.04581591, -0.12065283, 0.06530598, -0.05116496, -0.01669561, 0.0024559954) * go_0(0.0, -1.0); result += mat4(0.1193021, -0.25388858, -0.25403944, 0.048347283, -0.091768295, 0.082378544, -0.0510033, 0.017673727, 0.17033571, -0.14308529, -0.16331477, -0.04362767, -0.07888228, 0.14927958, -0.18066473, 0.089434035) * go_0(0.0, 0.0); result += mat4(0.02403974, 0.08044914, -0.01426072, 0.03443945, -0.014536994, 0.02533013, 0.16955474, 0.0822529, -0.0060408474, 0.019831115, 0.04393656, 0.15207846, 0.05056048, 0.124797806, -0.139311, 0.09310812) * go_0(0.0, 1.0); result += mat4(0.03542925, 0.11915315, -0.1311098, 0.09819034, -0.009666393, 0.029037869, 0.023572456, 0.020142581, 0.03380651, -0.08997595, -0.017141165, -0.018526986, 0.05253317, 0.049661253, -0.065568395, -0.091917224) * go_0(1.0, -1.0); result += mat4(-0.07639606, -0.054812707, 0.057559833, -0.09068783, 0.11863554, -0.017611986, -0.18931979, -0.005461553, 0.10720041, 0.15927693, -0.0123401, 0.18948005, 0.041474298, -0.10943666, 0.06085662, 0.003503111) * go_0(1.0, 0.0); result += mat4(0.055770155, 0.02822951, 0.09700467, -0.050730113, 0.03784999, -0.08229594, -0.02861142, 0.07229477, 0.121336035, 0.056729127, 0.04663669, -0.007550928, 0.16710907, 0.009395554, -0.008610169, 0.11862871) * go_0(1.0, 1.0); result += mat4(0.13294618, -0.06904705, -0.20041288, 0.19415551, 0.01685586, 0.038024202, 0.13990912, -0.046226025, 0.0797283, -0.05583546, 0.028278789, -0.1492692, -0.11463168, 0.058183275, 0.049645618, 0.039629117) * go_1(-1.0, -1.0); result += mat4(-0.18696861, -0.13563703, 0.032692514, -0.10432131, 0.02230654, -0.07747905, 0.14739737, 0.11521728, 0.0729215, 0.15747418, 0.025431354, 0.14331931, -0.1488298, 0.10179947, -0.101467535, -0.033923466) * go_1(-1.0, 0.0); result += mat4(0.081285305, 0.026952317, -0.085190386, -0.10324916, -0.0015412258, 0.08588591, -0.19694312, -0.08696667, 0.023812002, 0.014004666, 0.0023922345, -0.014925462, 0.053948395, 0.026938133, 0.07743994, 0.069554806) * go_1(-1.0, 1.0); result += mat4(0.13122624, 0.04613391, -0.05911036, -0.071337715, 0.14670388, 0.10637735, 0.120025985, -0.14935657, 0.17701747, 0.023492154, -0.028118515, 0.00088938075, -0.19212362, -0.20968609, 0.21538667, 0.26384237) * go_1(0.0, -1.0); result += mat4(-0.054812234, -0.08416403, 0.0260952, -0.008515731, -0.142125, 0.02519786, 0.03312871, 0.0462577, 0.09721707, 0.013835848, -0.102207415, -0.10014805, 0.10402717, 0.08674653, 0.04860208, -0.06947179) * go_1(0.0, 0.0); result += mat4(0.034799274, 0.024590576, -0.19037321, 0.03151982, -0.06556395, 0.006009085, -0.054991134, -0.06431149, -0.015655322, -0.0699281, 0.049673237, 0.06879375, -0.09895477, 0.0019435796, -0.0021232502, -0.06291184) * go_1(0.0, 1.0); result += mat4(-0.09569188, -0.04358026, -0.056854516, -0.000111347676, 0.0853871, -0.028307417, 0.06702482, 0.032195363, -0.00012289426, 0.036054786, -0.07317682, -0.06055966, -0.008536366, -0.063153945, -0.13675526, 0.09815369) * go_1(1.0, -1.0); result += mat4(0.060001787, -0.14248027, -0.18766588, -0.031177832, 0.25668815, 0.06644367, -0.10251424, 0.085613154, -0.07137866, -0.0390658, 0.07766741, -0.10317507, 0.025111878, 0.09819934, -0.2345668, -0.048678897) * go_1(1.0, 0.0); result += mat4(-0.14977072, -0.087542735, -0.14482, 0.007347984, -0.08235114, -0.0005702134, 0.11287718, 0.021635564, -0.07436876, -0.11370213, 0.075715326, 0.06619972, 0.056717034, -0.020862443, -0.019998845, -0.051332474) * go_1(1.0, 1.0); result += mat4(0.035570905, 0.13936782, -0.119994484, -0.1743154, 0.09265176, 0.067416996, -0.12855934, -0.03325352, -0.0010884873, -0.11393612, 0.26708764, 0.059674438, -0.06540884, -0.029078847, 0.0752755, 0.060898334) * go_2(-1.0, -1.0); result += mat4(0.004282939, -0.074319474, -0.08570652, -0.08257143, 0.012451813, -0.052780382, -0.15148674, 0.080452204, -0.10941718, 0.04138225, -0.02822319, -0.1640315, 0.003044549, 0.13333072, 0.1302482, 0.117772214) * go_2(-1.0, 0.0); result += mat4(-0.10399595, -0.06414262, 0.04463848, 0.03789655, 0.008393662, 0.096075214, 0.06362348, -0.08228957, 0.116857044, 0.107161805, 0.024692193, 0.20706779, -0.04162803, -0.021823602, -0.06078314, -0.08919124) * go_2(-1.0, 1.0); result += mat4(0.21876146, 0.09191945, -0.1713131, -0.1695255, -0.14229187, 0.16128044, -0.042203654, -0.019452719, -0.11618261, 0.058886774, 0.21331106, -0.10177181, -0.050883863, -0.026295587, -0.011005942, 0.031958587) * go_2(0.0, -1.0); result += mat4(-0.19700775, 0.00011510546, 0.064185515, 0.101220824, 0.14517656, -0.12774344, -0.083788246, -0.17077136, 0.015813397, 0.03214562, -0.036940534, -0.22156641, -0.13669154, 0.1068224, 0.046991926, 0.15731399) * go_2(0.0, 0.0); result += mat4(0.07979363, 0.1641743, 0.1953904, 0.12759592, 0.058493655, -0.067155585, 0.012606587, 0.047781534, 0.1679869, 0.099415414, -0.14752066, 0.103076465, 0.010993393, 0.04623457, 0.06644519, 0.06356699) * go_2(0.0, 1.0); result += mat4(0.17410177, -0.021142596, 0.03832318, 0.05570731, -0.08795235, 0.08994314, 0.14860317, 0.110479094, -0.053650588, 0.11992882, 0.0786844, -0.029005896, 0.022813741, -0.097005606, 0.043160316, 0.14180337) * go_2(1.0, -1.0); result += mat4(0.020900672, 0.070728056, -0.058542836, 0.10948163, -0.044124976, -0.08577386, 0.1291225, -0.058463164, 0.10717037, 0.087889396, -0.19010662, -0.014903362, 0.066647105, 0.0008108183, -0.10592918, -0.16838996) * go_2(1.0, 0.0); result += mat4(0.03863103, 0.061151855, 0.024460992, 0.00017194312, 0.16070026, -0.079970434, 0.14885707, 0.16158094, 0.07065171, -0.083885066, -0.0773903, 0.043984737, -0.13688512, 0.04315529, 0.029171892, -0.043184932) * go_2(1.0, 1.0); result += mat4(-0.0032730796, -0.0678228, -0.1079233, -0.10729724, -0.0414774, -0.106715254, 0.021418726, -0.115363866, -0.021818358, 0.014319188, 0.27558854, 0.07177722, 0.16198973, -0.036741022, -0.039331302, 0.08528458) * go_3(-1.0, -1.0); result += mat4(-0.0022572405, -0.12707013, 0.07970686, -0.033344477, 0.011235312, 0.029737111, 0.037241872, -0.027490782, 0.1667001, -0.22329094, 0.19529633, -0.06801771, 0.03439542, 0.09477615, -0.08548904, 0.02665781) * go_3(-1.0, 0.0); result += mat4(0.023405857, -0.028674511, 0.17428322, 0.026365727, 0.059524775, 0.01696815, -0.11675319, 0.019108849, 0.043889746, -0.10923627, -0.06668395, -0.0001394108, -0.10932081, -0.10729272, -0.045865797, 0.058694717) * go_3(-1.0, 1.0); result += mat4(0.028786171, -0.07996033, -0.042132188, 0.16268188, 0.01292829, -0.015771527, -0.11770419, 0.039871827, -0.067409195, -0.16829921, -0.12479334, -0.050815493, -0.0014285782, 0.037696563, 0.12936884, 0.24785544) * go_3(0.0, -1.0); result += mat4(0.11821269, 0.02937396, 0.02528718, 0.02799023, -0.078774855, -0.13108966, 0.09530571, -0.12430738, -0.0658468, -0.014434043, -0.15922552, 0.10165563, 0.19187002, 0.0012871067, 0.13770217, 0.17639764) * go_3(0.0, 0.0); result += mat4(-0.03887622, -0.043178383, -0.12944572, 0.0781853, -0.0343673, 0.15046304, 0.016929725, 0.010440784, 0.111742064, 0.20323086, -0.17518038, 0.20861465, 0.07141131, -0.1499564, 0.08331723, -0.018338641) * go_3(0.0, 1.0); result += mat4(-0.09879554, -0.009893019, 0.0983551, 0.09640564, 0.041065227, 0.037249558, -0.048898797, -0.14597179, -0.036883067, -0.058221117, -0.061707452, 0.11114091, -0.04219781, -0.07160853, 0.025964098, -0.022408063) * go_3(1.0, -1.0); result += mat4(-0.06854093, 0.033134002, -0.094440706, 0.03418527, 0.04887616, 0.14051184, -0.01767298, -0.020024845, -0.12027486, -0.14781527, 0.0006639068, 0.012838632, -0.0671156, -0.04252161, 0.16688527, 0.15175684) * go_3(1.0, 0.0); result += mat4(-0.036188185, 0.009798812, -0.07980902, -0.018469814, -0.022443485, -0.057728596, 0.027371801, -0.004489727, -0.15019576, 0.063210264, 0.04545364, -0.094795585, -0.23649287, -0.2896298, 0.3047641, -0.02306759) * go_3(1.0, 1.0); result += mat4(0.0710798, 0.055451605, -0.07648699, 0.13898383, -0.08452192, 0.11012541, -0.06281854, -0.05461686, -0.13105838, 0.041378103, 0.1423915, 0.022731576, -0.09423944, 0.042240687, 0.0055206236, 0.217599) * go_4(-1.0, -1.0); result += mat4(0.07588608, 0.08921057, -0.0058231056, 0.026653443, -0.21734685, -0.006213704, -0.12702152, -0.07060434, 0.023911633, -0.06637617, -0.057719648, 0.0022903855, -0.009479896, -0.1350784, -0.16709046, 0.010745677) * go_4(-1.0, 0.0); result += mat4(-0.10086355, 0.0110535165, 0.10848059, -0.07035538, 0.14857347, 0.14099321, 0.052920546, 0.0960118, 0.00702182, -0.009694436, -0.050239813, 0.11574682, -0.008785853, 0.117072344, 0.06994709, -0.0785332) * go_4(-1.0, 1.0); result += mat4(-0.0033244858, -0.041283812, -0.0062056403, -0.079100005, 0.03710724, -0.20561017, -0.077498965, -0.089842565, -0.11496833, 0.014476948, 0.03424653, -0.011620334, -0.1081823, -0.036695667, -0.010624277, 0.19094554) * go_4(0.0, -1.0); result += mat4(-0.10281635, 0.07619934, 0.24530065, 0.031338155, 0.2293712, 0.10000642, 0.2913761, 0.10625675, -0.19064593, -0.15475498, 0.017788576, -0.07991813, 0.13237537, 0.018305784, -0.021386296, -0.21711792) * go_4(0.0, 0.0); result += mat4(-0.052176226, -0.0452586, 0.046231613, -0.011801034, 0.036633253, -0.106147125, -0.12706251, -0.14980705, 0.078584775, 0.09951909, -0.115246415, -0.07272013, -0.111544944, -0.03231619, -0.113790385, -0.12621674) * go_4(0.0, 1.0); result += mat4(-0.10080901, -0.006650695, 0.0813086, 0.01621316, -0.049660202, -0.05663305, 0.060899526, 0.09370089, 0.1034699, 0.1313489, 0.08382034, 0.15258797, -0.007328495, -0.07970968, 0.13271572, 0.1248114) * go_4(1.0, -1.0); result += mat4(0.0811457, 0.021604871, -0.0708046, 0.10275134, -0.059385683, -0.15250053, 0.15080771, 0.12262505, -0.015175936, -0.21616012, 0.11106964, -0.06573024, 0.1334304, 0.039077487, -0.0077960994, -0.082096316) * go_4(1.0, 0.0); result += mat4(-0.026532508, 0.052564014, -0.13472368, 0.11765044, -0.045610473, 0.21229759, 0.14939204, -0.020855857, -0.12167336, 0.014780039, 0.005599771, -0.0366069, -0.114645116, 0.07955974, 0.025574045, -0.10698108) * go_4(1.0, 1.0); result += mat4(-0.105111405, 0.01887759, 0.17108293, 0.030718861, -0.0036248523, -0.04220701, -0.1370944, 0.0610685, -0.08567308, 0.02382638, 0.04128756, 0.010917913, -0.0071965833, 0.11633362, -0.19415227, -0.06810197) * go_5(-1.0, -1.0); result += mat4(0.17105678, -0.061937388, -0.12109572, -0.05737621, -0.010882215, 0.0077495095, -0.08858353, -0.037279226, -0.077877015, -0.08148342, -0.0128043005, -0.15990338, 0.06760134, 0.07077504, -0.077818625, 0.08186391) * go_5(-1.0, 0.0); result += mat4(-0.04122479, -0.14456019, -0.00687704, -0.0023447806, -0.03724179, -0.01020969, 0.12662183, 0.0032528937, 0.0011372975, 0.0013715293, 0.042884655, 0.056097247, -0.023848789, 0.020091679, -0.056177765, -0.071522005) * go_5(-1.0, 1.0); result += mat4(-0.10480783, -0.1623831, 0.16464269, 0.23841174, -0.13952696, -0.14506042, -0.0401578, 0.1833225, -0.1635158, -0.048028238, -0.026833056, 0.013035033, 0.33705005, 0.02140875, -0.0013267706, -0.13819021) * go_5(0.0, -1.0); result += mat4(0.1160767, 0.060790952, -0.0724595, -0.04385768, 0.19978592, 0.0788206, 0.046029508, -0.049146708, -0.11248604, -0.09155754, 0.068832725, -0.03305183, 0.09853922, -0.22963063, 0.1005964, 0.08247126) * go_5(0.0, 0.0); result += mat4(-0.028804837, 0.04783762, 0.026305035, 0.11646629, 0.022342246, 0.021584023, 0.0001582563, 0.04657554, 0.042147595, 0.10991348, -0.05957568, -0.035553932, 0.026858332, -0.048424963, 0.019152632, 0.019507838) * go_5(0.0, 1.0); result += mat4(0.060836714, -0.022240432, -0.080111384, 0.012706318, -0.011927039, -0.036633156, -0.09807743, 0.001682814, -0.048570346, 0.022914637, 0.08297579, 0.07432916, -0.06689553, 0.07128321, 0.060760804, -0.053622015) * go_5(1.0, -1.0); result += mat4(-0.08151351, 0.03328517, 0.0655914, 0.030473806, -0.20243235, -0.07587536, 0.059557915, -0.025496572, 0.08349247, 0.03562965, -0.013549137, 0.007226739, 0.02451737, -0.12500823, 0.17518938, 0.027817642) * go_5(1.0, 0.0); result += mat4(0.111120775, 0.069498256, 0.109161, -0.07871808, 0.03341905, 0.093649514, -0.103547156, -0.0221692, 0.14756559, 0.08163537, -0.027058242, 0.012208241, -0.024274345, 0.036743194, 0.021657368, 0.08115235) * go_5(1.0, 1.0); result += mat4(-0.016565295, -0.093153246, 0.07434916, 0.13516915, 0.066431835, -0.08160101, 0.22495477, -0.005786332, 0.050438188, -0.053129386, -0.19276144, -0.026223544, 0.07634501, 0.0152589185, 0.09015993, -0.12081901) * go_6(-1.0, -1.0); result += mat4(-0.02868214, -0.09362387, 0.20420188, 0.2323043, 0.11400136, 0.005945724, 0.098368086, 0.08062859, 0.16150405, 0.035759013, -0.06049329, -0.043028176, 0.18725239, -0.16331641, -0.048589546, 0.0063477824) * go_6(-1.0, 0.0); result += mat4(0.10109423, 0.028425362, 0.0021927503, -0.026673127, -0.061097544, -0.056787327, -0.19795562, -0.013237915, -0.010981921, -0.09065953, -0.13859056, -0.04323077, 0.040252034, 0.07637654, -0.11945002, 0.094968155) * go_6(-1.0, 1.0); result += mat4(-0.3977607, -0.13790089, -0.055158988, -0.050174505, 0.052614894, -0.07778908, -0.015430888, 0.047986247, 0.14888169, -0.16543779, -0.2891003, -0.04342235, 0.30348074, 0.10824644, 0.10112518, -0.24783409) * go_6(0.0, -1.0); result += mat4(0.23575824, 0.011677025, -0.085980736, -0.18474336, -0.046511535, -0.2450259, 0.015577409, 0.090929225, -0.23187812, 0.3062745, -0.008086566, 0.09375844, 0.17479296, -0.32219046, -0.17859502, -0.029911464) * go_6(0.0, 0.0); result += mat4(0.0074331514, -0.0158369, -0.15111591, -0.0986743, -0.030352395, 0.25137565, 0.04130103, -0.0062408587, -0.1494196, 0.10451748, 0.17356388, -0.11889589, -0.21257852, 0.18119709, -0.32618928, -0.14297172) * go_6(0.0, 1.0); result += mat4(-0.020291256, -0.12662272, 0.056155823, 0.057880387, 0.109167404, -0.08335087, -0.15138221, 0.047699973, 0.0058621103, -0.06914936, -0.073086455, 0.003365277, 0.22831668, -0.07399479, 0.024957279, 0.05620497) * go_6(1.0, -1.0); result += mat4(0.07699637, 0.041208927, 0.06305996, 0.041955516, -0.08543101, 0.1444409, -0.08606257, -0.055031363, -0.10753908, 0.044322092, 0.15147197, -0.030209096, 0.009578645, -0.28745437, 0.182556, 0.019715844) * go_6(1.0, 0.0); result += mat4(-0.075021446, -0.19192447, 0.1017877, -0.06666319, -0.14443877, 0.15312059, -0.073553406, -0.14337407, 0.08148258, 0.056119774, 0.12854706, -0.05987905, 0.08368831, -0.016305747, 0.07510809, 0.074687295) * go_6(1.0, 1.0); result += mat4(-0.010471119, 0.13328238, 0.060071457, -0.03948096, 0.05319884, 0.17310601, -0.04464768, 0.08970178, 0.10060466, 0.03673445, -0.1702518, -0.16137329, -0.10923549, -0.080803566, 0.08140776, -0.023817802) * go_7(-1.0, -1.0); result += mat4(0.013244887, 0.15331677, 0.09793132, 0.09692318, -0.1730623, 0.02818572, 0.05820418, -0.10480771, -0.009753599, 0.027658407, -0.08239695, -0.028878244, -0.13597834, -0.114619546, 0.12918031, -0.101478636) * go_7(-1.0, 0.0); result += mat4(-0.1387837, -0.025863085, -0.07998665, -0.12072783, -0.02631342, 0.22394536, -0.044502188, 0.043130975, -0.054995466, -0.02638623, -0.03035314, -9.780792e-05, 0.10787078, 0.09983201, 0.048798468, -0.027303448) * go_7(-1.0, 1.0); result += mat4(-0.030307472, 0.10377603, -0.048275083, -0.17565064, -0.0731305, -0.1687179, 0.049325664, 0.06664795, 0.15953282, 0.019989133, -0.12020434, 0.08591394, 0.016914282, 0.026901973, 0.058946334, -0.08739783) * go_7(0.0, -1.0); result += mat4(-0.04967794, 0.07685563, 0.188108, 0.027708061, -0.12741639, 0.1113947, 0.080441244, -0.0532469, 0.18773162, -0.048492104, 0.10304353, -0.07217096, -0.03396989, -0.13489579, 0.0097981915, -0.07177994) * go_7(0.0, 0.0); result += mat4(0.06648731, -0.013308226, 0.07468537, 0.018027442, 0.015774438, -0.12655127, 0.008981899, -0.10848047, 0.01785698, -0.037054867, 0.05375838, 0.026628552, -0.007766137, 0.021725474, -0.14604005, 0.07607764) * go_7(0.0, 1.0); result += mat4(0.11879723, -0.015889695, -0.07713315, -0.069208734, 0.030487843, -0.01902965, 0.09156338, 0.11870824, -0.0053699217, 0.05143409, -0.07897252, -0.09999788, 0.037435826, 0.07663497, 0.0062756166, -0.007952132) * go_7(1.0, -1.0); result += mat4(0.10580244, -0.036087725, -0.019035814, 0.033959202, 0.100345545, -0.1669388, 0.09289055, -0.0006761699, 0.05343634, 0.037503824, 0.08714516, 0.088569865, -0.08008031, -0.14313452, -0.0869759, -0.08801987) * go_7(1.0, 0.0); result += mat4(0.006534133, 0.05105751, 0.1326258, -0.012239177, 0.058115125, 0.028674275, -0.09591513, -0.005499378, 0.041579086, -0.06331064, -0.045979768, 0.10551663, 0.112477005, -0.009950793, -0.1351577, 0.038971644) * go_7(1.0, 1.0); result += vec4(0.05119014, 0.001999624, 0.0051741754, 0.006344799); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x48 //!HOOK MAIN //!BIND conv2d_tf //!BIND conv2d_tf1 //!BIND conv2d_tf2 //!BIND conv2d_tf3 //!BIND conv2d_2_tf //!BIND conv2d_1_tf //!SAVE conv2d_3_tf //!WIDTH conv2d_tf.w //!HEIGHT conv2d_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_tf_tex(conv2d_tf_pos)), 0.0)) #define g_1 (max((conv2d_tf1_tex(conv2d_tf1_pos)), 0.0)) #define g_2 (max((conv2d_tf2_tex(conv2d_tf2_pos)), 0.0)) #define g_3 (max((conv2d_tf3_tex(conv2d_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_tf_tex(conv2d_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_tf1_tex(conv2d_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_tf2_tex(conv2d_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_tf3_tex(conv2d_tf3_pos)), 0.0)) #define g_8 (max((conv2d_2_tf_tex(conv2d_2_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_2_tf_tex(conv2d_2_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.113515526, 0.106837384, 0.20812881, 0.16897917, 0.041623022, -0.1039364, 0.19850619, 0.298937, -0.3082365, -0.031754434, 0.16342433, 0.37504506, 0.09699736, 0.010189174, 0.17887989, -0.09383025) * g_0; result += mat4(0.10328652, -0.028724594, -0.03725655, 0.27347645, 0.10183029, -0.16081847, -0.10617321, 0.1901187, -0.03793219, 0.2775493, 0.14563474, 0.00840078, -0.17760493, 0.13339461, 0.089312814, 0.034915876) * g_1; result += mat4(0.015832528, -0.045636576, -0.12128991, 0.2608647, 0.24673735, 0.10102276, 0.16210636, -0.46542636, -0.015267993, -0.15264183, 0.25447357, 0.031080268, 0.20901208, 0.14662905, -0.036634948, 0.0845752) * g_2; result += mat4(0.09588151, 0.018494375, 0.027304746, 0.13447088, -0.06265565, 0.1733864, 0.334192, -0.113528445, 0.21299788, -0.1472667, 0.29488075, -0.1290995, -0.024090588, -0.3359844, -0.101115264, -0.2198912) * g_3; result += mat4(-0.0139789, 0.21625891, 0.022689445, 0.06341661, -0.117535755, 0.2804869, -0.044223994, -0.19280532, 0.12332802, -0.038589306, 0.060168512, 0.003091399, 0.22361282, 0.20717236, -0.098680764, -0.3309222) * g_4; result += mat4(-0.06628995, 0.12792988, 0.003792715, 0.1680786, -0.1342965, 0.41055954, 0.062222756, 0.049789477, -0.07372347, -0.18070233, 0.03299076, -0.09340363, 0.32073286, -0.07532172, -0.07331408, 0.20519489) * g_5; result += mat4(0.086528674, 0.08663942, 0.25446007, -0.3459604, 0.08586162, -0.2900368, -0.24869849, 0.20104861, -0.5512707, -0.08311233, 0.14626856, -0.15290149, -0.1541716, 0.02692958, -0.0066374447, 0.37172756) * g_6; result += mat4(-0.19816272, 0.08062059, 0.072980136, -0.1234166, 0.16083257, 0.07615364, 0.16252695, -0.31896582, -0.3006324, 0.24307664, 0.10824411, -0.22742745, -0.16614948, -0.22890756, -0.07267046, 0.09090352) * g_7; result += mat4(-0.10712061, 0.071095675, -0.32983637, -0.09112012, 0.24694498, 0.09215849, 0.05334446, 0.077359654, -0.07286092, 0.34112877, -0.013829287, 0.06670894, -0.09276153, 0.072939105, -0.13622369, 0.14010417) * g_8; result += mat4(0.11312907, -0.090158425, 0.3204081, 0.053531416, -0.253243, 0.12732224, -0.02162359, -0.34881824, 0.011340285, -0.2804999, -0.24482724, -0.06718974, 0.015262575, -0.0716948, -0.07537729, -0.20046124) * g_9; result += mat4(0.046407733, 0.17073393, 0.027035931, -0.32520708, 0.47023183, -0.11385112, 0.10980019, 0.12331711, 0.039710827, 0.25615647, -0.06121073, 0.22643484, -0.053721283, -0.019124558, 0.24745707, -0.007544153) * g_10; result += mat4(0.015645513, 0.24795622, -0.027034724, 0.091168396, 0.13050666, 0.19245213, -0.3235803, 0.12572092, -0.04100238, -0.2667382, -0.06869353, -0.18729845, -0.3253826, -0.15944591, -0.038754206, -0.022384685) * g_11; result += vec4(-0.021124197, 0.065632634, 0.024891809, 0.072871104); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x48 //!HOOK MAIN //!BIND conv2d_tf //!BIND conv2d_tf1 //!BIND conv2d_tf2 //!BIND conv2d_tf3 //!BIND conv2d_2_tf //!BIND conv2d_1_tf //!SAVE conv2d_3_tf1 //!WIDTH conv2d_tf.w //!HEIGHT conv2d_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_tf_tex(conv2d_tf_pos)), 0.0)) #define g_1 (max((conv2d_tf1_tex(conv2d_tf1_pos)), 0.0)) #define g_2 (max((conv2d_tf2_tex(conv2d_tf2_pos)), 0.0)) #define g_3 (max((conv2d_tf3_tex(conv2d_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_tf_tex(conv2d_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_tf1_tex(conv2d_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_tf2_tex(conv2d_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_tf3_tex(conv2d_tf3_pos)), 0.0)) #define g_8 (max((conv2d_2_tf_tex(conv2d_2_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_2_tf_tex(conv2d_2_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.11699225, -0.011926791, 0.15968116, -0.28171888, -0.094884306, 0.12266288, -0.02869124, 0.124487214, 0.11344168, 0.27545413, -0.11473996, -0.18655725, 0.07444298, 0.20979966, -0.34344572, 0.09082154) * g_0; result += mat4(0.34916008, 0.13911577, -0.010201517, 0.0037869287, 0.08340967, -0.12156858, -0.117294475, 0.35585365, -0.06922667, 0.06911412, -0.07068636, 0.12846842, 0.015117793, -0.023309045, 0.013241948, -0.107297644) * g_1; result += mat4(0.17315003, -0.10761723, -0.072508104, 0.22057249, -0.07545323, 0.07440893, -0.20900318, 0.020722175, 0.10075026, -0.12781784, -0.023600617, -0.08387344, 0.32060823, -0.078003615, 0.114024006, 0.09494562) * g_2; result += mat4(0.11551656, -0.000862936, -0.3338336, -0.19441503, 0.14071822, -0.09090158, 0.116582595, -0.14757058, 0.3173076, 0.027060512, -0.18175173, 0.103367195, -0.123774566, 0.004113376, -0.036047045, 0.20972507) * g_3; result += mat4(0.2616819, -0.23769857, 0.14694063, 0.52330256, -0.15146148, -0.21730542, -0.067091495, -0.06504361, 0.04726932, -0.043983664, -0.04815243, 0.16768406, 0.19502987, -0.32623842, -0.051590122, -0.13552347) * g_4; result += mat4(-0.10593247, 0.043780692, -0.0012781665, -0.027277134, 0.07427171, 0.21340221, -0.0145785725, -0.09647566, 0.07683649, -0.0025731022, 0.22363698, -0.05832384, 0.021017361, -0.07482151, -0.12129065, -0.0019391342) * g_5; result += mat4(-0.0340859, -0.14430326, 0.10648293, -0.072308615, 0.11786764, 0.119093865, -0.012822142, -0.037612807, -0.1896853, -0.22999093, 0.4030961, -0.03841633, 0.12869515, -0.18355207, 0.010367995, 0.02159778) * g_6; result += mat4(0.053300664, 0.09102034, 0.2953044, 0.20959346, 0.051493607, 0.42663953, -0.24863662, -0.18108594, 0.09425621, 0.13966715, -0.14302093, 0.043921605, -0.16983564, 0.0754303, -0.017989958, 0.17268774) * g_7; result += mat4(-0.08402705, -0.09658915, 0.12671614, -0.16052966, 0.03697882, 0.30477068, 0.13104036, 0.0013146247, 0.20226406, -0.07586563, -0.011798672, 0.3262475, -0.06879792, 0.08181783, 0.36202317, 0.3781982) * g_8; result += mat4(-0.17125002, 0.33657587, -0.39985514, 0.02585221, 0.1537332, 0.04795972, 0.018550362, -0.22021875, -0.19417998, 0.074346684, 0.12862094, -0.20361246, -0.024607735, -0.2939094, -0.20752306, -0.23394017) * g_9; result += mat4(0.1611785, -0.21036223, 0.511955, -0.32777244, -0.1491686, 0.16397569, 0.08984783, -0.06717227, 0.0506624, 0.11203859, -0.05863204, -0.19412707, -0.10711086, 0.19335233, -0.036180694, -0.12216311) * g_10; result += mat4(0.07279537, 0.118367635, -0.24924143, 0.077552676, 0.076574005, 0.29696205, -0.4367856, 0.049242187, 0.03598476, -0.23271763, 0.09492026, 0.1604189, 0.23055643, -0.5723609, -0.16704383, -0.1909646) * g_11; result += vec4(0.02420742, -0.053550396, 0.09937034, 0.02549033); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x48 //!HOOK MAIN //!BIND conv2d_tf //!BIND conv2d_tf1 //!BIND conv2d_tf2 //!BIND conv2d_tf3 //!BIND conv2d_2_tf //!BIND conv2d_1_tf //!SAVE conv2d_3_tf2 //!WIDTH conv2d_tf.w //!HEIGHT conv2d_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_tf_tex(conv2d_tf_pos)), 0.0)) #define g_1 (max((conv2d_tf1_tex(conv2d_tf1_pos)), 0.0)) #define g_2 (max((conv2d_tf2_tex(conv2d_tf2_pos)), 0.0)) #define g_3 (max((conv2d_tf3_tex(conv2d_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_tf_tex(conv2d_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_tf1_tex(conv2d_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_tf2_tex(conv2d_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_tf3_tex(conv2d_tf3_pos)), 0.0)) #define g_8 (max((conv2d_2_tf_tex(conv2d_2_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_2_tf_tex(conv2d_2_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.2471731, -0.16232504, -0.30280364, 0.05774581, -0.33488455, -0.2850219, -0.14658487, 0.1705944, -0.24376623, -0.07736909, 0.13372669, 0.13659224, 0.15363434, 0.09130026, 0.118685074, -0.1887429) * g_0; result += mat4(-0.14029902, 0.04204984, 0.029388431, -0.16639939, 0.037349563, 0.090201415, 0.115845665, 0.094291255, -0.003028802, -0.1821114, -0.052043844, 0.18686622, -0.1255908, 0.1673359, 0.17418015, -0.24007064) * g_1; result += mat4(0.045778025, -0.038912218, 0.116795845, -0.118629694, -0.1916185, -0.21808104, 0.22124553, 0.12642126, -0.024481684, -0.32958513, -0.11877306, -0.13612218, 0.1202751, -0.17667405, 0.08483987, -0.07016802) * g_2; result += mat4(0.004220892, -0.060743902, -0.15420602, -0.32612783, 0.022069136, -0.11913074, 0.22228731, 0.43151212, -0.03867469, 0.29992265, -0.14474417, -0.1324549, -0.067330755, 0.07419592, -0.3801413, 0.25740635) * g_3; result += mat4(-0.43801382, 0.074864835, 0.22297561, -0.07522966, 0.089928746, -0.23775443, 0.12624952, 0.05267909, 0.11843678, 0.23380554, -0.16562468, 0.04727477, -0.07479534, -0.06559248, 0.41837972, 0.34442958) * g_4; result += mat4(0.3688564, 0.13552678, -0.12272029, -0.14460362, -0.052870844, -0.0072880904, -0.20343664, 0.051840555, -0.07027805, 0.025613135, 0.1342496, -0.15982226, 0.21681777, -0.22339828, 0.04231994, 0.11173033) * g_5; result += mat4(-0.014970335, -0.29749388, -0.17493735, 0.29414502, 0.040422376, 0.15367351, -0.16439381, -0.18030228, 0.11266584, 0.111256205, 0.14735286, 0.04284055, -0.15905188, 0.43124563, -0.32235175, -0.24786504) * g_6; result += mat4(-0.05143537, 0.11057835, 0.21779476, 0.23726006, -0.0005560291, 0.04139496, -0.16062462, -0.24794249, -0.1464781, 0.19482404, -0.312965, 0.06129383, -0.18794996, 0.16319337, 0.14189719, -0.30816367) * g_7; result += mat4(0.27121273, -0.004694028, -0.31637567, 0.032995105, -0.036668185, -0.11826119, 0.035944767, 0.21887423, -0.030638168, -0.3112658, 0.1413359, -0.05586408, 0.028680937, -0.109603494, -0.48359016, -0.085163146) * g_8; result += mat4(-0.15236667, -0.06385869, 0.31347254, 0.024068993, 0.2756432, -0.0046036905, 0.07813827, -0.19012104, 0.04450809, 0.00904128, -0.21091071, 0.10090084, -0.014248632, 0.1903685, 0.27477407, 0.06778423) * g_9; result += mat4(-0.13072848, 0.01106962, 0.09164927, 0.038539473, -0.27705765, 0.12634145, -0.32573533, 0.18789926, -0.089990735, -0.12661424, -0.19122249, 0.11970773, -0.15596688, -0.15337645, -0.39366686, 0.25173476) * g_10; result += mat4(0.133498, -0.1286767, 0.0066307387, 0.05333134, 0.32057172, 0.11854806, 0.23994155, 0.07014444, -0.0822214, 0.17359538, 0.011753332, -0.098263726, 0.09097752, 0.23439142, 0.24286969, 0.30044666) * g_11; result += vec4(-0.013156251, -0.073697254, 0.013861042, 0.029801248); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x48 //!HOOK MAIN //!BIND conv2d_tf //!BIND conv2d_tf1 //!BIND conv2d_tf2 //!BIND conv2d_tf3 //!BIND conv2d_2_tf //!BIND conv2d_1_tf //!SAVE conv2d_3_tf3 //!WIDTH conv2d_tf.w //!HEIGHT conv2d_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_tf_tex(conv2d_tf_pos)), 0.0)) #define g_1 (max((conv2d_tf1_tex(conv2d_tf1_pos)), 0.0)) #define g_2 (max((conv2d_tf2_tex(conv2d_tf2_pos)), 0.0)) #define g_3 (max((conv2d_tf3_tex(conv2d_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_tf_tex(conv2d_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_tf1_tex(conv2d_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_tf2_tex(conv2d_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_tf3_tex(conv2d_tf3_pos)), 0.0)) #define g_8 (max((conv2d_2_tf_tex(conv2d_2_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_2_tf_tex(conv2d_2_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.0753999, 0.03658432, 0.18477479, 0.1749442, -0.5686113, 0.07571735, 0.3006386, -0.10368173, 0.31511122, 0.19695596, 0.022956114, 0.10611498, 0.11219441, 0.07497535, -0.051178914, 0.40932408) * g_0; result += mat4(-0.53745884, -0.26310006, -0.14212249, -0.10600016, -0.3300384, -0.11597243, -0.10909209, 0.1591658, 0.20530003, 0.10293979, 0.44854087, -0.14645655, -0.17974512, -0.22815758, 0.055204354, 0.07649109) * g_1; result += mat4(-0.11100687, -0.020421045, -0.06534363, -0.006278175, -0.20759039, 0.41434816, 0.019221503, -0.18696092, -0.17718618, -0.27402994, -0.31856942, 0.17581874, 0.19913019, -0.12737915, -0.23136902, 0.29896608) * g_2; result += mat4(-0.19094995, -0.008856119, -0.1510312, 0.027294202, -0.038605593, 0.26966265, 0.07470327, -0.21256901, -0.004842345, -0.007547481, 0.0102520995, -0.101378344, 0.06716397, 0.32778296, 0.09866201, 0.105650894) * g_3; result += mat4(-0.07321942, -0.20841677, -0.2987479, -0.025003504, 0.51052386, 0.11103265, -0.24727266, 0.05006711, -0.04068963, -0.17566985, 0.22884814, -0.08789049, 0.15666409, -0.2519647, 0.1815161, -0.29741505) * g_4; result += mat4(0.32267484, 0.30005294, -0.32079622, 0.30390024, 0.47575063, 0.15858233, -0.049186833, -0.08754423, -0.30718598, -0.23053262, -0.4130956, 0.15375546, -0.2504387, 0.14406683, -0.03541755, -0.116562754) * g_5; result += mat4(0.089908786, 0.16712907, 0.2827455, -0.1158676, 0.100818515, -0.13472387, 0.0018383784, 0.28862092, 0.16807888, 0.21766861, -0.008835093, -0.013818307, 0.29853174, 0.44468543, 0.109368436, 0.05118149) * g_6; result += mat4(0.068973444, 0.0794158, 0.008132662, -0.025349714, -0.241619, -0.562253, -0.06472331, 0.26760724, 0.14286947, -0.108172484, -0.18315507, 0.082276024, -0.056612104, 0.15318224, 0.09156046, 0.059472494) * g_7; result += mat4(0.17709294, 0.11063602, 0.016538871, -0.04356374, -0.4417025, -0.23322596, 0.1735871, -0.13079296, -0.014818513, 0.085076906, 0.31257257, -0.0979718, 0.23537876, 0.22838776, -0.1946557, -0.21086106) * g_8; result += mat4(0.16094512, -0.20355348, 0.1149018, -0.19766387, -0.043893784, -0.12358672, -0.03911131, 0.23320928, -0.08093544, 0.09920411, -0.40996867, 0.08985439, -0.26298022, -0.35406327, 0.27618915, -0.17629734) * g_9; result += mat4(0.17672168, 0.33174667, -0.1032466, -0.27387938, -0.02977908, -0.025017925, -0.20994124, -0.08694916, -0.02364592, -0.09470408, 0.020289965, 0.012267187, -0.36518613, -0.3328729, -0.006646349, 0.2829864) * g_10; result += mat4(-0.37110084, -0.35592732, 0.23536026, 0.23718278, 0.047251917, -0.005406326, -0.3790981, -0.06730541, -0.059093118, 0.17381823, 0.08860589, -0.08435597, 0.063891046, 0.111061476, -0.17462096, -0.21782869) * g_11; result += vec4(-0.036752474, -0.0199064, -0.031221999, 0.027302064); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_3_tf //!BIND conv2d_3_tf1 //!BIND conv2d_3_tf2 //!BIND conv2d_3_tf3 //!SAVE conv2d_5_tf //!WIDTH conv2d_3_tf.w //!HEIGHT conv2d_3_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_3_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_3_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_3_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_3_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_3_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_3_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_3_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_3_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.09734661, 0.061269853, 0.010684367, 0.07922197, 0.05781062, 0.09498859, 0.0059541194, 0.055028643, 0.029842257, 0.021540405, 0.046974428, -0.06634233, -0.13435823, 0.052091595, 0.15516177, 0.20840359) * go_0(-1.0, -1.0); result += mat4(-0.11204712, 0.087035954, 0.18622182, 0.31039688, 0.14824612, -0.0020548997, -0.05728568, 0.09329071, -0.048949752, -0.00422063, 0.10059791, 0.01128758, -0.0667123, -0.07316058, -0.009909637, 0.14781536) * go_0(-1.0, 0.0); result += mat4(0.21659678, -0.11969646, 0.31596485, -0.29449376, -0.085787125, -0.0041973544, 0.014939408, -0.06458572, 0.016557008, -0.10691503, 0.07453658, -0.09312512, -0.041953124, 0.0108861765, 0.046261944, 0.1774456) * go_0(-1.0, 1.0); result += mat4(0.02254322, -0.052918423, -0.113152504, 0.071858585, 0.0117703015, 0.079451814, -0.0029153633, 0.015306896, -0.040042825, -0.06333894, 0.03827381, -0.003296969, 0.23065478, 0.11165739, 0.029987952, 0.13538778) * go_0(0.0, -1.0); result += mat4(0.22478464, 0.053055856, 0.13375497, 0.11132069, 0.0768609, -0.08802591, -0.0005126305, -0.096074104, 0.05547799, 0.14047498, -0.21863975, 0.088811226, 0.14175189, 0.056029763, -0.09243144, -0.03227621) * go_0(0.0, 0.0); result += mat4(0.058631405, -0.0020513993, -0.100427136, 0.09413551, 0.020093564, 0.069237374, -0.031309333, -0.15205812, -0.07296385, -0.08101741, -0.033533495, 0.04185518, -0.069678605, -0.11994933, -0.05458667, 0.1239785) * go_0(0.0, 1.0); result += mat4(0.023654098, -0.016322771, -0.053925548, -0.05829063, 0.03189806, -0.07079362, 0.045294795, -0.056835167, 0.005102182, -0.004473431, 0.089829914, -0.051828075, 0.13791272, -0.12263063, 0.09900396, 0.08934504) * go_0(1.0, -1.0); result += mat4(-0.14883909, -0.08370035, 0.029796274, -0.061349917, 0.031639863, 0.07670951, -0.07982861, -0.075953715, 0.01616426, 0.04547463, -0.17410962, -0.13339755, -0.030177329, 0.081280835, -0.071240604, -0.068024755) * go_0(1.0, 0.0); result += mat4(-0.035136715, -0.0666993, -0.053949412, 0.23571363, 0.064162835, 0.058248613, 0.071939655, -0.043032203, 0.0027190417, 0.102130406, 0.08265134, 0.14767906, 0.11839981, 0.022512883, 0.008833997, -0.08867263) * go_0(1.0, 1.0); result += mat4(-0.045464355, -0.03901701, 0.104742035, -0.054333255, -0.000674463, -0.072723635, -0.011385688, 0.1390963, -0.057841327, -0.10662542, -0.006296826, 0.07534485, -0.0022529615, -0.017679833, 0.11422933, -0.09602691) * go_1(-1.0, -1.0); result += mat4(-0.037918784, 0.0471143, 0.01821684, 0.04785347, 0.05893716, -0.05264373, 0.031792507, 0.022692155, -0.12618628, -0.078732796, -0.107741006, -0.005904432, 0.033265546, -0.037677728, 0.018410092, -0.045087464) * go_1(-1.0, 0.0); result += mat4(-0.08069271, 0.14640823, 0.03188813, 0.048628252, -0.10498838, -0.01750696, -0.017270578, -0.20060967, -0.022688782, 0.14007398, -0.064233646, -0.06584529, 0.048313648, 0.02902496, 0.025434876, -0.015005926) * go_1(-1.0, 1.0); result += mat4(-0.11691012, 0.10830498, 0.0864008, -0.07428175, 0.059586193, 0.08761011, -0.051804967, -0.116023265, -0.040842712, 0.064043894, -0.055760466, -0.03979215, -0.1566118, -0.07059479, 0.23128736, 0.29601103) * go_1(0.0, -1.0); result += mat4(0.019733015, -0.121494144, 0.07050759, -0.031028662, 0.02035677, 0.037133172, 0.1959422, 0.010620721, -0.11892457, -0.062402498, 0.23107922, 0.017938357, 0.039822582, -0.34718394, -0.0043610777, -0.12503235) * go_1(0.0, 0.0); result += mat4(-0.1521077, 0.023124147, 0.17105149, -0.09529017, -0.18716997, 0.15938593, -0.075555176, 0.007660074, -0.0659198, 0.042362686, 0.06072557, -0.052555315, 0.031564806, -0.13988672, -0.100266196, 0.15556104) * go_1(0.0, 1.0); result += mat4(0.03950866, 0.0932461, 0.14669223, -0.075737424, -0.09153526, 0.0028438887, 0.0519975, -0.008800768, -0.0026975062, -0.041466944, -0.10415832, -0.048266735, -0.19737266, -0.008451561, 0.054551005, -0.18987523) * go_1(1.0, -1.0); result += mat4(-0.017622106, -0.10150143, -0.061344724, -0.021990284, 0.16188632, -0.039700583, 0.024772005, -0.05583961, 0.055742163, 0.17517552, 0.079216845, -0.045874085, -0.33632788, -0.55761105, -0.15164435, 0.19563487) * go_1(1.0, 0.0); result += mat4(0.15358269, -0.08413987, 0.031613722, -0.016460061, -0.0045705284, 0.022188313, -0.053493183, -0.010319478, -0.10769792, -0.03695773, 0.004054835, -0.104466334, -0.10020303, -0.064705715, -0.041581728, -0.086132765) * go_1(1.0, 1.0); result += mat4(-0.05974514, 0.036663704, -0.10178144, 0.21211717, 0.04420661, -0.036548615, -0.098309755, -0.08025222, 0.07865967, 0.07362496, 0.12985736, 0.12008698, -0.06263807, -0.10731051, -0.06923558, 0.07864413) * go_2(-1.0, -1.0); result += mat4(0.22417663, 0.0588772, 0.1198325, -0.07723108, 0.033947755, -0.041091707, -0.16751619, -0.12512505, 0.100351505, 0.021007577, -0.0038691324, 0.11080665, 7.171485e-05, -0.05867157, 0.118601635, 0.053962808) * go_2(-1.0, 0.0); result += mat4(0.021666002, 0.0027355652, 0.052574422, 0.056000613, 0.12146606, -0.13704947, -0.0871154, 0.025724513, -0.12228573, 0.11862116, 0.077627316, 0.0914951, 0.0656998, -0.012906203, 0.01584498, 0.0021894067) * go_2(-1.0, 1.0); result += mat4(0.21685399, -0.21901615, 0.21654171, 0.09605749, 0.021838928, -0.060552385, 0.0023020366, -0.21475291, 0.19824745, -0.038538195, 0.14118937, 0.014410346, -0.03936526, -0.028588302, 0.01463384, 0.1269174) * go_2(0.0, -1.0); result += mat4(-0.17986831, 0.17568718, 0.011101189, 0.034957506, -0.24435398, -0.17036551, 0.17677231, 0.114546336, 0.1765654, 0.14953285, -0.02125005, -0.090705946, 0.11545875, 0.11875337, 0.07169465, -0.056279495) * go_2(0.0, 0.0); result += mat4(-0.20325391, 0.0077137332, -0.124255426, -0.03918733, 0.0057139527, -0.20959048, 0.016518086, 0.07134525, -0.033380203, 0.1895967, -0.020892128, -0.15934819, -0.026683806, 0.049555697, -0.012137531, 0.04078783) * go_2(0.0, 1.0); result += mat4(0.044009577, -0.1267635, -0.19021805, 0.020304255, -0.026466701, -0.021304939, 0.05452358, 0.2480263, -0.10584058, -0.019716619, -0.021578709, -0.059174377, 0.016334238, 0.041968506, 0.06452988, -0.033252876) * go_2(1.0, -1.0); result += mat4(0.13782366, 0.39971897, 0.041918628, -0.12675282, -0.06519262, -0.09265013, -0.09582015, 0.078845605, -0.16200846, -0.0828618, -0.028440878, 0.051919196, 0.18443401, 0.007192546, 0.1433654, 0.05663138) * go_2(1.0, 0.0); result += mat4(0.20185442, -0.067758165, -0.074122995, 0.14756092, -0.12199864, -0.15655454, -0.12563851, -0.18541348, -0.021879317, 0.01678769, -0.0030687766, 0.08913009, 0.16956268, -0.023180367, 0.048467696, -0.046434075) * go_2(1.0, 1.0); result += mat4(0.036227275, -0.05883773, 0.0012586793, 0.011253798, 0.10275155, -0.06640798, -0.1678144, 0.082103625, -0.1789737, -0.0023864328, -0.04942815, -0.030467045, 0.03752185, -0.014739322, -0.011592565, -0.08417689) * go_3(-1.0, -1.0); result += mat4(0.010906125, -0.07623248, 0.024461044, 0.13993196, 0.026915673, 0.09800617, 0.00041784425, 0.0070541617, -0.1684005, -0.22166164, -0.019129276, 0.09959659, 0.09489805, 0.03439014, 0.10191427, 0.011791956) * go_3(-1.0, 0.0); result += mat4(0.00095777505, -0.13054171, 0.14910473, -0.08741845, 0.02464533, 0.17301862, 0.04799081, -0.112584546, -0.10729309, 0.0021900109, -0.117694676, -0.22643587, 0.08776268, -0.013622246, 0.02121124, 0.0677086) * go_3(-1.0, 1.0); result += mat4(0.080143295, 0.0005351027, -0.12454767, -0.009831431, 0.09471301, -0.06951146, 0.027126681, -0.0003073929, -0.045323767, 0.2865539, -0.08811831, 0.14265549, 0.057120778, -0.015644496, -0.13397896, -0.01764384) * go_3(0.0, -1.0); result += mat4(-0.14829676, -0.22663654, 0.06900643, 0.19923732, -0.17632666, -0.1773072, -0.10938093, 0.1907633, -0.22015978, 0.16445194, -0.035109006, -0.1360336, 0.041809544, -0.05986774, -0.11678058, 0.02465583) * go_3(0.0, 0.0); result += mat4(-0.1263213, 0.03851176, 0.06992986, 0.121745974, -0.0019402864, 0.069357015, -0.18422046, -0.021072289, 0.010600869, -0.09093927, 0.07218328, 0.030740313, -0.08003271, -0.07790914, 0.06410005, 0.014307259) * go_3(0.0, 1.0); result += mat4(0.10477422, 0.0071695005, -0.14152291, -0.08124443, -0.09799372, -0.05710979, 0.058086738, -0.044789974, 0.043377526, 0.12331853, 0.025140652, 0.07699851, -0.045419525, -0.006256598, -0.1254608, -0.069459505) * go_3(1.0, -1.0); result += mat4(0.012826945, 0.013810653, -0.03710287, 0.09192163, 0.20279253, 0.00034728806, -0.035849538, -0.017284289, -0.12103459, 0.113538265, 0.036033515, -0.2628409, 0.13250133, -0.15067518, -0.017473336, -0.017993376) * go_3(1.0, 0.0); result += mat4(-0.04628539, -0.009509892, 0.010795782, 0.022657838, 0.034840304, -0.18331207, -0.043538917, 0.019726979, 0.093813986, -0.01182597, -0.030532721, -0.06725243, 0.035305396, 0.12598507, -0.045109455, -0.07104365) * go_3(1.0, 1.0); result += mat4(-0.038427405, -0.03670289, 0.009010035, -0.08594717, 0.13386185, -0.055569336, 0.020312069, 0.17047036, -0.0005751851, 0.07102868, -0.0030843539, -0.062339533, 0.17729887, -0.02035552, -0.10233831, -0.11164339) * go_4(-1.0, -1.0); result += mat4(-0.11263659, -0.05361348, -0.08857922, 0.025857484, 0.15782511, 0.11741005, 0.0008204784, -0.055593092, 0.16471939, -0.06537734, -0.049056504, -0.14134789, -0.06993487, 0.08265007, -0.026305847, -0.015778434) * go_4(-1.0, 0.0); result += mat4(-0.007410701, -0.01441922, -0.013790292, -0.08496436, 0.059298597, 0.06749017, 0.033680003, -0.07553746, -0.007253728, 0.07603032, 0.03603444, 0.023113312, 0.009864538, 0.009545234, 0.007055779, 0.016675977) * go_4(-1.0, 1.0); result += mat4(-0.03287154, 0.041329436, 0.048967343, 0.00020967565, -0.03840336, -0.26014775, 0.13467579, -0.01288433, 0.03179203, -0.124999754, 0.043841228, -0.06066888, -0.0051408918, -0.016409034, -0.12508035, -0.06799285) * go_4(0.0, -1.0); result += mat4(-0.061412618, -0.023039775, 0.023298232, 0.027902585, -0.05903914, -0.04732177, -0.08157116, -0.16209878, -0.07151363, -0.11202448, 0.086137235, 0.13089454, -0.1727801, -0.084309146, 0.008881613, 0.10247897) * go_4(0.0, 0.0); result += mat4(-0.080017336, -0.021263113, 0.19055346, -0.019997882, -0.1927784, -0.03550904, -0.030173002, 0.3082455, -0.15008178, 0.11214757, 0.02586731, -0.043060426, 0.07466955, 0.046203747, -0.07718886, 0.06528261) * go_4(0.0, 1.0); result += mat4(0.019918084, 0.10393514, -0.009655002, 0.1094199, -0.089056216, -0.1737668, -0.059082154, 0.105823405, 0.026216887, 0.03503651, -0.12551196, 0.012876952, 0.11418996, -0.0284636, -0.11487945, 0.040532686) * go_4(1.0, -1.0); result += mat4(-0.062002, -0.10289414, 0.0433779, -0.052594364, -0.026993295, -0.010685158, -0.14214714, 0.13103524, -0.1301826, -0.27670056, 0.11124729, -0.055402644, 0.01671333, -0.08101004, -0.05717023, 0.0962302) * go_4(1.0, 0.0); result += mat4(-0.15299675, -0.0779102, 0.062842146, -0.11968336, -0.07164389, -0.017125668, -0.1688716, 0.061834283, 0.08188993, 0.0018753322, 0.08258499, -0.19381738, -0.04257649, -0.016848594, -0.017061861, -0.026112117) * go_4(1.0, 1.0); result += mat4(-0.122003414, -0.09890703, -0.06982631, -0.02577599, 0.047824547, 0.03650507, 0.040395748, -0.04049112, 0.04005698, 0.09357465, 0.1360253, -0.15741147, -0.06551237, 0.08185881, -0.02194835, -0.013256005) * go_5(-1.0, -1.0); result += mat4(-0.14268228, -0.08010237, 0.062330585, 0.24419874, 0.022156455, -0.031606868, 0.01986428, -0.123140745, 0.088045254, 0.07976336, 0.12356502, 0.03292295, 0.0039921612, 0.1391097, -0.1327237, 0.17087503) * go_5(-1.0, 0.0); result += mat4(0.05809734, 0.10325669, 0.018551925, 0.18999831, 0.05094676, -0.031951625, -0.019107338, -0.024242481, -0.03815963, -0.14975072, 0.015570574, 0.116612114, -0.0035157371, -0.022934573, 0.0011566454, -0.1203576) * go_5(-1.0, 1.0); result += mat4(-0.07571527, 0.1990212, -0.20027153, -0.10697796, -0.12820342, -0.084515885, 0.07578165, 0.020347733, -0.00892056, -0.18545923, 0.0695733, 0.14638829, -0.09150454, 0.006455754, -0.055462956, 0.042492133) * go_5(0.0, -1.0); result += mat4(0.15239488, -0.06738116, -0.07969976, 0.1760308, 0.093105, 0.06533617, 0.037611242, -0.01698829, 0.09100471, 0.17494531, 0.10324255, -0.040920477, 0.04676677, -0.042271648, 0.17275427, 0.039887525) * go_5(0.0, 0.0); result += mat4(0.04805025, 0.09289456, 0.012480428, 0.059763327, 0.20680524, 0.024041612, 0.04847308, -0.06536776, 0.03056509, -0.03703338, 0.031064041, 0.017866645, -0.0199645, 0.13258344, -0.0063539073, 0.04498349) * go_5(0.0, 1.0); result += mat4(0.052932233, -0.11947033, -0.03155656, -0.07324679, -0.05424513, 0.078505605, -0.019819826, -0.118183404, 0.015165605, -0.15420818, 0.09117547, -0.06770803, 0.025362425, 0.10567001, 0.16803418, -0.014216641) * go_5(1.0, -1.0); result += mat4(-0.002915114, 0.09753533, -0.07954533, -0.09036385, -0.10997803, -0.06226152, 0.15965928, 0.01742136, -0.16269052, 0.0012529608, -0.11517133, -0.06588761, 0.33304235, 0.32400182, -0.037736043, -0.08686809) * go_5(1.0, 0.0); result += mat4(0.122677274, 0.07220127, 0.017788883, -0.1526565, -0.11781294, -0.096393414, -0.10738522, 0.027538292, 0.11034344, 0.0068561994, -0.01896905, 0.08191385, -0.031658173, -0.06143603, 0.11063846, 0.013613772) * go_5(1.0, 1.0); result += mat4(-0.00034395256, 0.07757684, 0.03603346, -0.05409958, -0.039885473, 0.08888618, 0.11433487, 0.06239832, -0.012561817, -0.09264437, -0.06947361, -0.16703877, -0.05925366, 0.09730988, -0.0374859, -0.21553493) * go_6(-1.0, -1.0); result += mat4(0.11113043, 0.046659853, -0.03720995, 0.13223019, -0.011127139, 0.045242492, 0.08000568, 0.026173163, -0.028678354, -0.04595475, -0.15907471, -0.061340734, 0.052668605, 0.120637506, 0.06996815, -0.032300867) * go_6(-1.0, 0.0); result += mat4(-0.015105483, -0.035718217, 0.00565433, -0.0010706359, 0.01237486, -0.09663067, 0.060355566, -0.021619935, -0.0060178936, -0.10208557, 0.09834864, 0.005301487, -0.07065648, -0.0102565205, -0.079897635, -0.07363429) * go_6(-1.0, 1.0); result += mat4(0.15122332, 0.01300845, 0.14561565, 0.0078122923, -0.07771233, 0.08672449, 0.059209164, 0.10349858, -0.18292949, -0.05491338, 0.037409253, -0.15557477, 0.007851884, -0.15677735, -0.007986883, -0.0820941) * go_6(0.0, -1.0); result += mat4(-0.02603895, 0.004392774, 0.047779255, 0.030239321, -0.025975157, 0.007981695, -0.026700003, 0.17650554, -0.046760127, -0.12810352, 0.039018054, -0.020153303, -0.26770997, -0.24840021, 0.001749491, 0.13322414) * go_6(0.0, 0.0); result += mat4(-0.048052143, 0.011061579, 0.048959274, 0.15330704, -0.05367691, 0.031792562, -0.030972287, 0.21764308, 0.07962203, -0.13632339, 0.05333787, 0.08173476, 0.029554084, -0.1607249, -0.14652269, -0.018444933) * go_6(0.0, 1.0); result += mat4(-0.12028847, 0.11408145, -0.015187711, -0.1066138, 0.04004933, -0.054853894, -0.0002169158, -0.07392162, -0.06662435, 0.012898702, 0.11821237, -0.060647547, 0.10890098, 0.13925953, -0.034129824, -0.16795886) * go_6(1.0, -1.0); result += mat4(-0.21198411, -0.22841139, 0.064901166, -0.0739707, 0.07579406, 0.13245337, 0.07984324, -0.11958311, 0.23518807, 0.03951031, 0.021313217, -0.039818693, -0.33798328, 0.14691062, -0.1605757, 0.054352395) * go_6(1.0, 0.0); result += mat4(-0.13351469, 0.0918017, 0.021667097, 0.04695423, 0.1528799, 0.0066435975, 0.14461643, -0.0774705, 0.08538539, 0.029555036, 0.013566671, 0.04881617, -0.047637653, -0.024395077, -0.04682386, 0.024556898) * go_6(1.0, 1.0); result += mat4(-0.04054251, -0.025060415, 0.13092743, 0.1434454, 0.019325754, -0.03814305, 0.038175087, -0.051956292, 0.107260615, 0.09564158, 0.033044748, 0.08718543, -0.0042597037, -0.08330614, -0.020769762, 0.021718048) * go_7(-1.0, -1.0); result += mat4(-0.0467152, 0.011650741, 0.06790967, 0.1497807, -0.04228647, 0.0038935265, 0.050139807, -0.04191123, 0.11917793, 0.12565975, -0.09580006, -0.04954582, -0.022617152, 0.14059848, 0.06739387, 0.096524894) * go_7(-1.0, 0.0); result += mat4(-0.0041557504, 0.14019534, -0.14307663, 0.16510043, -0.045185186, -0.07108944, -0.18530224, 0.0637945, -0.022739004, 0.016600542, -0.15113553, 0.03232497, 0.083305396, 0.030575624, -0.007784604, 0.10224721) * go_7(-1.0, 1.0); result += mat4(0.13495712, 0.0132012805, 0.023121556, 0.09689293, -0.08771344, 0.13250796, 0.09810855, -0.07780123, -0.11128488, 0.049089704, -0.012155183, -0.01517611, -0.034393515, 0.11343268, 0.07681398, 0.12952201) * go_7(0.0, -1.0); result += mat4(0.19935279, 0.16451101, -0.2434694, 0.0069289505, 0.099972665, 0.1275684, -0.25808835, -0.042677704, -0.018637422, -0.09171047, 0.010507542, 0.011131679, 0.09246794, -0.0041852095, 0.1290832, -0.07985622) * go_7(0.0, 0.0); result += mat4(-0.0043436415, -0.15932998, -0.05970676, -0.13369723, 0.09200822, -0.047416117, -0.0073032505, 0.036765452, 0.03029621, -0.017910985, -0.071291275, 0.046770707, -0.07755798, -0.016484965, -0.057681244, 0.1414009) * go_7(0.0, 1.0); result += mat4(-0.049801152, -0.11666162, -0.06752314, -0.027140377, 0.01744927, -0.015691767, -0.01865074, -0.049655963, -0.054574657, 0.042295195, -0.07221067, -0.04776607, 0.28138685, 0.03619317, 0.05957344, 0.12512729) * go_7(1.0, -1.0); result += mat4(-0.18367589, -0.13354966, -0.18030748, -0.03868865, -0.13235895, 0.0832158, 0.06149876, 0.15696545, 0.0135377385, -0.029013326, 0.071308985, 0.027590062, -0.0692408, 0.07469874, -0.009006803, -0.028944101) * go_7(1.0, 0.0); result += mat4(-0.05511066, 0.029652556, -0.034495458, -0.11805021, 0.1400147, 0.05601861, -0.008461109, -0.03828229, -0.010754387, -0.041252054, -0.01032058, -0.01723487, -0.06081277, -0.21858022, -0.086987965, 0.02353611) * go_7(1.0, 1.0); result += vec4(0.046059743, 0.0101414705, -0.008947391, -0.020016287); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_3_tf //!BIND conv2d_3_tf1 //!BIND conv2d_3_tf2 //!BIND conv2d_3_tf3 //!SAVE conv2d_4_tf //!WIDTH conv2d_3_tf.w //!HEIGHT conv2d_3_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_3_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_3_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_3_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_3_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_3_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_3_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_3_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_3_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(0.015272437, -0.059803978, -0.028676871, -0.02191302, 0.09696589, -0.03694334, 0.079412386, -0.09939299, 0.055519488, 0.13914746, -0.06045851, -0.033998977, 0.068030894, 0.22130857, -0.007071924, -0.084617935) * go_0(-1.0, -1.0); result += mat4(-0.31423712, -0.16286789, -0.19696762, -0.169529, -0.048720174, 0.0645061, -0.121878594, -0.09086406, -0.027578864, -0.12501127, -0.16284546, 0.05864118, -0.059388425, -0.091798484, -0.2045986, 0.008371446) * go_0(-1.0, 0.0); result += mat4(0.1516353, -0.07816612, 0.06701313, -0.0950027, -0.06908343, -0.017901963, 0.044034127, -0.06375459, 0.0035083925, -0.008009938, -0.1553017, -0.09092037, 0.054205187, -0.07541141, -0.029629523, 0.1302109) * go_0(-1.0, 1.0); result += mat4(-0.07794453, -0.11150074, 0.07698152, 0.08732758, 0.005230772, 0.14475264, -0.09703018, -0.10291971, 0.105738714, -0.12889017, 0.0348841, 0.13621795, -0.13801111, -0.09004793, 0.114610545, -0.0009902337) * go_0(0.0, -1.0); result += mat4(-0.13234864, -0.22682235, -0.22653654, 0.008841708, -0.017389977, 0.0007245843, -0.034918804, 0.08006901, 0.06819286, 0.15364736, 0.048638005, 0.032650337, 0.277397, -0.00709555, -0.00092056254, 0.15162739) * go_0(0.0, 0.0); result += mat4(-0.05169096, 0.21755818, 0.33516932, 0.031588975, -0.14497629, -0.04724443, 0.05017679, 0.07897262, 0.13459034, 0.31124622, 0.017543063, -0.12901956, 0.020066176, 0.035704516, 0.09234457, -0.13252299) * go_0(0.0, 1.0); result += mat4(-0.079380505, 0.0073481426, -0.06069702, -0.010502408, 0.07515405, -0.116293535, 0.0046105445, 0.009152441, 0.0916981, 0.07103545, 0.021125732, -0.05427634, -0.05110015, -0.009169704, 0.064662114, -0.035349734) * go_0(1.0, -1.0); result += mat4(0.038265344, -0.09519448, 0.059789244, -0.13617846, -0.061203677, -0.081682116, -0.029475613, 0.1452557, 0.09861209, -0.07015944, -0.05356181, -0.021776738, 0.10369119, -0.07849195, -0.038590387, -0.10154714) * go_0(1.0, 0.0); result += mat4(0.13858013, 0.17500602, -0.06286432, 0.12322357, -0.020820327, 0.10139774, 0.06707506, -0.045559894, 0.08304632, 0.014706953, -0.031214742, -0.046962608, 0.029041013, 0.116795875, -0.034526866, 0.024736797) * go_0(1.0, 1.0); result += mat4(-0.15546273, 0.12283236, -0.15851308, -0.15174977, -0.07573153, 0.018088356, 0.050452355, -0.1072712, 0.023415051, -0.083648965, -0.08438857, 0.0037589336, -0.052143987, 0.054112066, 0.068947434, 0.0041476013) * go_1(-1.0, -1.0); result += mat4(0.11446611, 0.058583263, -0.06733016, -0.0023722851, 0.07993185, -0.023523904, -0.11709358, -0.04045295, 0.011010934, -0.040319018, -0.07934788, -0.13672778, -0.01871028, 0.050461486, 0.009289529, -0.04118888) * go_1(-1.0, 0.0); result += mat4(0.09812941, -0.05562772, -0.054017413, -0.123784855, 0.001961671, 0.10594461, -0.04178937, 0.039041057, 0.04732996, -0.046621576, -0.02719964, -0.0011114897, -0.01653831, -0.12494121, -0.03380852, -0.016219255) * go_1(-1.0, 1.0); result += mat4(-0.060704853, 0.07478782, -0.07182519, -0.0042965743, 0.016299726, 0.048351113, -0.01954189, 0.026182631, 0.1213542, -0.03132194, 0.1872669, 0.073706634, -0.2032187, 0.14876659, -0.17023273, -0.2227079) * go_1(0.0, -1.0); result += mat4(-0.09304609, -0.07197119, -0.05462784, -0.0031730293, -0.279643, -0.04054853, 0.08253801, -0.18801835, -0.007780369, 0.103015654, 0.017752673, -0.33401743, 0.25395665, 0.124612115, 0.17287181, 0.09410012) * go_1(0.0, 0.0); result += mat4(0.016278468, 0.09776316, -0.018774673, -0.028158069, -0.004626514, -0.089645386, -0.22390373, -0.22903992, 0.08918763, 0.093416885, -0.064013496, -0.020969093, 0.055319004, 0.038180985, -0.024488134, -0.040401362) * go_1(0.0, 1.0); result += mat4(0.018308487, -0.011729305, -0.09917752, -0.002841483, 0.0599436, 0.016863806, -0.04848376, 0.042487588, 0.03422387, 0.010988273, -0.046248045, 0.016439699, -0.2109331, -0.26634532, 0.09737795, -0.22783673) * go_1(1.0, -1.0); result += mat4(-0.043874994, 0.057370197, 0.108060665, 0.12056862, 0.04326372, 0.042426717, 0.10711789, 0.18016145, -0.06800899, 0.050411705, 0.062778726, -0.08883587, -0.12963888, -0.26155844, 0.1768527, -0.20759244) * go_1(1.0, 0.0); result += mat4(-0.029307218, 0.034253594, 0.023449568, 0.10740543, -0.007117891, -0.08609973, -0.070199385, 0.028014658, 0.011849466, -0.103710175, -0.044059474, 0.0910086, -0.0036186902, -0.13148114, 0.11775623, 0.03689876) * go_1(1.0, 1.0); result += mat4(-0.02930122, -0.028750544, -0.16977385, 0.024588319, 0.06966029, -0.05039873, 0.02433029, 0.008939243, -0.07164926, -0.024791168, -0.042547364, -0.0096171675, 0.026791278, 0.13012235, 0.018013593, -0.05196021) * go_2(-1.0, -1.0); result += mat4(0.051087376, -0.010833802, -0.025629422, -0.16892247, 0.10266821, -0.08566462, 0.021818671, 0.099710494, 0.052938227, 0.15181173, -0.07044235, 0.006057611, -0.04405104, -0.008049883, -0.02076555, -0.16482745) * go_2(-1.0, 0.0); result += mat4(0.09891512, 0.008049609, 0.01639775, -0.06643191, 0.017111722, 0.2329798, 0.035799496, 0.010293999, 0.0704336, -0.03576047, 0.023332953, -0.07576646, -0.0014989872, 0.022484222, 0.011937841, -0.04858518) * go_2(-1.0, 1.0); result += mat4(-0.010375555, -0.29719326, 0.15491869, -0.12884745, 0.1403921, -0.0111622475, -0.040989667, -0.07690612, -0.18047535, -0.085979894, -0.04110178, -0.026867142, -0.116575025, 0.01505097, -0.064706944, 0.0068447054) * go_2(0.0, -1.0); result += mat4(-0.17111692, -0.14148626, -0.074309886, -0.054845806, -0.12844844, -0.1814628, -0.080664955, 0.08824405, 0.049287837, 0.125754, 0.13574858, 0.22351772, -0.0020951808, 0.05195172, -0.19726871, 0.0040973197) * go_2(0.0, 0.0); result += mat4(0.019996997, 0.06518832, -0.06759968, -0.07601458, 0.14987434, 0.10496216, -0.05135024, 0.004877606, -0.045061707, -0.037699945, 0.05177059, 0.084363855, 0.046086136, -0.030641818, -0.058476638, 0.08614476) * go_2(0.0, 1.0); result += mat4(-0.08008592, -0.17577869, 0.2598816, 0.01865104, 0.09420606, -0.027588135, 0.122131534, -0.15293474, 0.058529835, -0.008539355, 0.015938425, 0.050187953, -0.02314343, 0.01624479, 0.00061906216, -0.08660734) * go_2(1.0, -1.0); result += mat4(-0.09669957, 0.105325714, -0.04216754, 0.4313952, 0.01175941, 0.0064402292, -0.09035242, -4.4676657e-05, -0.09296604, 0.05282715, 0.10292071, 0.058552645, -0.12130569, -0.067147344, -0.03417468, 0.10585223) * go_2(1.0, 0.0); result += mat4(0.032175943, 0.022815451, -0.11661248, 0.04680869, -0.0039209807, 0.03585509, 0.015391019, -0.012086847, 0.077763, -0.16538106, -0.08112365, -0.047386654, 0.046851672, -0.15512191, 0.12339567, 0.045468587) * go_2(1.0, 1.0); result += mat4(-0.003045521, 0.011283177, 0.057040576, 0.14315721, -0.033659145, 0.04654075, -0.05798073, 0.016922075, -0.03206714, -0.029252306, 0.0752731, -0.19472761, -0.004521209, -0.008417225, -0.01819342, 0.09594639) * go_3(-1.0, -1.0); result += mat4(0.023216221, 0.00050637213, 0.093280256, -0.0036191205, -0.099975824, 0.15540068, -0.0005460901, 0.07478613, -0.020638715, -0.11652944, -0.06071933, -0.14358073, -0.037845127, 0.0038647808, -0.07280816, 0.1025985) * go_3(-1.0, 0.0); result += mat4(-0.10873849, -0.07031447, 0.0056161666, 0.034578577, -0.15001217, 0.017945569, -0.059527688, 0.009716552, -0.10370449, 0.032418504, 0.05663323, 0.10394252, 0.0230122, -0.07451814, 0.12283976, -0.11731048) * go_3(-1.0, 1.0); result += mat4(0.09558205, -0.082451336, -0.033909228, -0.0067867287, 0.12707525, -0.016118657, -0.18240142, -0.29438785, 0.065717794, -0.16262093, 0.043810308, -0.2857367, 0.11772093, -0.042244613, -0.016529586, -0.0028848667) * go_3(0.0, -1.0); result += mat4(-0.095545195, -0.14809576, -0.10179922, -0.3241558, -0.29769334, -0.003899532, 0.027323049, -0.17966785, 0.08280068, -0.028337095, 0.15347622, 0.1661956, 0.17435703, -0.115148745, -0.016894776, -0.018672291) * go_3(0.0, 0.0); result += mat4(-0.16706415, -0.07363752, 0.062359426, 0.13341492, 0.033634063, 0.11740068, 0.18746865, 0.10657675, 0.032304406, 0.09954153, -0.1386874, -0.13592382, 0.029351018, -0.03206953, 0.09523795, 0.06962056) * go_3(0.0, 1.0); result += mat4(-0.022705866, -0.06569827, -0.091605455, 0.070918486, -0.053591333, 0.061575353, -0.10306779, -0.13712883, -0.070348755, -0.024930507, 0.012275779, -0.20609841, -0.047163837, -0.06799354, -0.01722682, -0.07951833) * go_3(1.0, -1.0); result += mat4(-0.09951865, -0.089199685, -0.03204326, 0.12676425, 0.017853266, -0.011848084, 0.16991617, 0.14529921, 0.07919947, 0.038282923, -0.16438726, -0.05181831, -0.051588885, 0.17036556, -0.025693918, -0.08663645) * go_3(1.0, 0.0); result += mat4(0.09096619, -0.042492405, -0.02680967, 0.09422492, -0.03217904, -0.021298975, 0.122680284, 0.003280786, -0.0027162856, 0.32307196, 0.00042480655, -0.04048761, -0.05125339, 0.03318497, -0.017228108, 0.080749124) * go_3(1.0, 1.0); result += mat4(-0.05089259, -0.0053160666, 0.04031622, 0.0675516, -0.075230755, 0.11064669, -0.16225758, -0.27091557, -0.033630677, 0.077405855, -0.08949044, -0.20493746, -0.08045375, -0.14623162, 0.01690271, 0.09677526) * go_4(-1.0, -1.0); result += mat4(0.17415513, 0.0070055854, -0.10742436, 0.077625334, -0.046910375, -0.17963062, -0.13546865, -0.008154046, -0.007528051, -0.02987437, -0.02181232, -0.16890126, 0.029016118, -0.10211868, 0.062935695, 0.0028676116) * go_4(-1.0, 0.0); result += mat4(-0.025289172, 0.20245677, -0.0033883427, 0.0069943997, 0.1960503, -0.104858525, 0.06183405, -0.010476609, -0.065109745, -0.13811804, 0.037909374, -0.027144575, 0.0040317164, 0.035209123, 0.09870678, -0.0479482) * go_4(-1.0, 1.0); result += mat4(-0.028792664, 0.038431108, 0.014691095, 0.11340496, -0.060376063, -0.079663344, -0.023059526, -0.14558718, -0.14886084, -0.09452481, 0.16099294, -0.09676519, 0.14557302, -0.023548108, -0.04787074, -0.13845164) * go_4(0.0, -1.0); result += mat4(-0.11922315, -0.17272118, 0.21888684, 0.0006877604, -0.041505255, -0.064750075, 0.17717092, -0.0050328346, 0.08072545, -0.15914737, -0.34404156, -0.12710881, -0.24833426, -0.012279114, -0.0929118, -0.17624308) * go_4(0.0, 0.0); result += mat4(0.072484106, -0.079038285, -0.12901638, 0.082699366, 0.20412955, -0.114168845, 0.123569965, -0.27721637, -0.08529062, -0.03288879, 0.026492476, 0.19470787, 0.12789781, -0.046228945, 0.030243115, 0.102509424) * go_4(0.0, 1.0); result += mat4(-0.018162742, 0.026119776, 0.028543998, 0.14580049, -0.031844176, 0.055030007, 0.00784516, -0.0094214855, 0.16610105, -0.13140243, -0.101545244, -0.14765148, 0.046954077, 0.0151733, 0.028250849, -0.016968153) * go_4(1.0, -1.0); result += mat4(-0.071911104, 0.07253662, -0.0039084554, 0.10001815, -0.0059544197, 0.039695, 0.09711302, 0.12417695, 0.012477504, 0.19828807, 0.08522809, -0.0065681627, 0.030625535, 0.075225085, -0.016773878, 0.0051740888) * go_4(1.0, 0.0); result += mat4(0.018142365, 0.06312399, 0.020529382, -0.08701831, -0.081653036, -0.020882376, -0.06594719, -0.015883535, -0.09766773, -0.013606815, -0.01932629, 0.14317879, -0.08628326, 0.032843128, -0.03849329, 0.044433527) * go_4(1.0, 1.0); result += mat4(-0.19906221, -0.019701794, -0.13417694, -0.22192308, 0.12774472, -0.080230385, -0.07713913, -0.018704597, 0.04177193, 0.043377854, -0.004895913, -0.068911865, 0.09720858, 0.09008334, 0.09644683, -0.03094106) * go_5(-1.0, -1.0); result += mat4(0.06691037, -0.07232021, 0.0880707, -0.1096942, -0.0670756, 0.15671045, 0.012647426, -0.01460337, 0.023473715, 0.25899747, -0.07224047, 0.033385064, -0.08618433, -0.04862091, -0.08293281, 0.086158596) * go_5(-1.0, 0.0); result += mat4(0.08823607, 0.03869106, -0.023876008, -0.026033832, 0.03230582, -0.1304758, -0.068728656, -0.0057360893, -0.045426574, 0.063521795, -0.01852874, -0.042811543, -0.051053554, 0.03814756, -0.02033012, -0.048743658) * go_5(-1.0, 1.0); result += mat4(0.015931997, 0.07338466, -0.001379819, -0.04980926, -0.059085526, 0.08673082, 0.06408948, -0.0012361417, -0.17019162, 0.094189726, -0.14372677, 0.004410176, 0.11336311, 0.10751407, -0.08628446, 0.11517482) * go_5(0.0, -1.0); result += mat4(0.007854747, 0.11453255, 0.16967475, 0.047550052, -0.114481956, 0.08391739, 0.092615105, 0.06488047, 0.08140995, -0.1407751, 0.03324224, -0.02032371, -0.13508326, -0.055251148, -0.18647192, 0.12472472) * go_5(0.0, 0.0); result += mat4(-0.052146748, 0.09979267, 0.029023444, -0.13495271, -0.0252162, -0.0596912, 0.080368, -0.03177713, 0.02240823, -0.0018220172, 0.015609448, -0.022447577, -0.15107572, -0.109189086, -0.100533925, 0.118836805) * go_5(0.0, 1.0); result += mat4(0.022925707, -0.06910447, -0.018874725, 0.009468046, -0.14554814, 0.07727692, -0.0047826543, -0.0013009618, -0.07025157, 0.012556721, -0.037335817, 0.035178307, 0.06550488, 0.048649, -0.014515659, 0.06279116) * go_5(1.0, -1.0); result += mat4(0.03258051, 0.1607996, -0.005463293, 0.027238868, -0.1231972, -0.0771126, -0.046944942, 0.12712134, 0.075969175, -0.09897373, 0.022424594, -0.088259995, 0.114332475, 0.1605132, -0.03992334, -0.00781645) * go_5(1.0, 0.0); result += mat4(0.0684246, 0.1356707, -0.18023875, -0.04613952, 0.006020655, 0.030828401, -0.042292707, -0.032438643, -0.059692264, 0.04760126, -0.0045480486, 0.019046038, 0.06176289, 0.13285528, -0.023466881, 0.0345628) * go_5(1.0, 1.0); result += mat4(-0.017516924, 0.04755433, 0.02724948, -0.20600726, -0.04323209, 0.07760261, -0.023362167, 0.08546276, 0.09192108, 0.036733013, 0.13411112, 0.048988055, 0.02760956, 0.02746886, -0.0072430624, 0.01127053) * go_6(-1.0, -1.0); result += mat4(-0.08310694, -0.1415815, -0.08375172, 0.0363182, -0.081730485, -0.06046439, 0.02982689, 0.08872717, 0.00072316185, -0.14549169, 0.09066894, -0.14281332, 0.16423841, 0.052469682, -0.0067828847, 0.008377004) * go_6(-1.0, 0.0); result += mat4(-0.13628009, 0.018103965, -0.032083835, 0.12424575, 0.024337478, -0.103213586, -0.13552395, -0.09551738, 0.0420191, 0.10316015, 0.067298695, 0.0035425322, 0.0029188823, -0.053332064, 0.027478272, 0.08300774) * go_6(-1.0, 1.0); result += mat4(-0.007367251, 0.056404594, -0.048879124, -0.020900933, 0.010486612, 0.07887076, -0.020189175, -0.13583486, 0.13937452, 0.057288323, -0.07264488, -0.01801294, 0.19403873, 0.103872076, -0.14108293, -0.16779351) * go_6(0.0, -1.0); result += mat4(0.109870814, 0.04083196, 0.19445752, 0.024208639, 0.20810223, -0.088830575, -0.194837, -0.04915425, 0.08709219, -0.06014266, 0.012886667, -0.23102829, -0.17614147, -0.18462501, -0.078888394, -0.085750245) * go_6(0.0, 0.0); result += mat4(-0.043739304, -0.15343273, -0.004483079, 0.028602215, -0.053307105, 0.03963491, 0.09067442, -0.040540636, 0.005630982, -0.03907181, -0.08252026, -0.255134, 0.036551263, -0.1558265, 0.12722903, -0.018271362) * go_6(0.0, 1.0); result += mat4(0.100884244, 0.041502595, -0.02924491, 0.0006563439, 0.05856145, -0.0045917677, 0.09798114, 0.089630224, 0.0275624, 0.0553079, -0.055310242, -0.10005074, 0.108301334, 0.035387103, -0.21943197, -0.02148485) * go_6(1.0, -1.0); result += mat4(0.038974132, 0.07830882, 0.05164519, -0.12069417, 0.05397008, 0.061845202, -0.007274972, 0.058689874, 0.06141266, -0.0424411, -0.05565388, 0.07025662, 0.085278414, 0.047607705, -0.049411476, -0.17264275) * go_6(1.0, 0.0); result += mat4(0.024846716, 0.011342758, 0.044558752, 0.005749814, -0.0656907, -0.10310058, -0.0502014, 0.10221803, 0.02951027, 0.08945397, 0.075140476, -0.14311805, 0.08085466, 0.13427396, -0.05678222, -0.28819987) * go_6(1.0, 1.0); result += mat4(0.06705349, -0.018869668, 0.015324304, -0.07764027, -0.10141193, 0.028659642, -0.08375406, 0.005064868, 0.03488706, 0.09525751, -0.10248002, 0.06137774, -0.005868939, 0.006512338, -0.0560103, 0.030272838) * go_7(-1.0, -1.0); result += mat4(-0.036294904, -0.018521994, -0.03307544, -0.08824787, -0.02880715, 0.009350453, 0.065284535, 0.021653919, 0.015398833, 0.14517242, -0.041406073, 0.12960012, -0.035283025, -0.15387185, 0.043584332, 0.033682194) * go_7(-1.0, 0.0); result += mat4(0.028819354, 0.06410185, 0.036591727, 0.038817216, 0.046048388, -0.04071045, 0.105549805, -0.019702256, 0.04773352, 0.011951728, 0.024311544, -0.13352196, -0.020938, -0.021588324, -0.069265515, 0.08652285) * go_7(-1.0, 1.0); result += mat4(-0.22862528, -0.046740018, 0.061469328, -0.020422334, -0.10328232, -0.1077609, 0.12025423, 0.057812545, 0.17792639, 0.012279389, -0.07101039, -0.025944097, -0.086152576, -0.0155693265, 0.083100215, -0.14897798) * go_7(0.0, -1.0); result += mat4(0.14513083, -0.06021356, 0.049246337, 0.10806752, -0.021607077, -0.07385248, 0.057333313, 0.13416117, -0.06690401, -0.19059011, 0.021498155, -0.03842978, -0.10343301, 0.043801896, 0.10485668, 0.054747216) * go_7(0.0, 0.0); result += mat4(0.111293696, 0.0013921659, 0.029689424, 0.05060646, -0.06785304, -0.05120073, -0.058148287, -0.054629184, 0.019767666, -0.03841178, -0.047711127, 0.12487687, 0.002752687, 0.0041709486, 0.06040608, 0.04098326) * go_7(0.0, 1.0); result += mat4(-0.038370624, -0.09880031, 0.027125726, -0.060028706, 0.12887341, 0.07956673, 0.049340174, 0.12674156, 0.108758375, -0.01999054, 0.10093637, 0.05006565, -0.08913735, -0.026908305, 0.0202185, 0.020061754) * go_7(1.0, -1.0); result += mat4(-0.025420299, 0.038421508, 0.09560932, -0.11508314, 0.0155848935, 0.0347484, -0.008577495, -0.18132563, 0.101311065, 0.10495623, 0.15127939, -0.10312934, 0.019007044, -0.027185634, 0.047117107, -0.016839046) * go_7(1.0, 0.0); result += mat4(-0.08142026, -0.034331992, -0.029070942, -0.14392552, -0.078249715, 0.15499105, -0.08205064, 0.12780844, -0.020675218, -0.1315328, -0.07152117, 0.029007316, -0.037264626, 0.013577999, -0.03113356, -0.038550116) * go_7(1.0, 1.0); result += vec4(0.076316014, -0.018089892, -0.012637839, -0.10212818); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x56 //!HOOK MAIN //!BIND conv2d_3_tf //!BIND conv2d_3_tf1 //!BIND conv2d_3_tf2 //!BIND conv2d_3_tf3 //!BIND conv2d_5_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!SAVE conv2d_6_tf //!WIDTH conv2d_3_tf.w //!HEIGHT conv2d_3_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_3_tf_tex(conv2d_3_tf_pos)), 0.0)) #define g_1 (max((conv2d_3_tf1_tex(conv2d_3_tf1_pos)), 0.0)) #define g_2 (max((conv2d_3_tf2_tex(conv2d_3_tf2_pos)), 0.0)) #define g_3 (max((conv2d_3_tf3_tex(conv2d_3_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_3_tf_tex(conv2d_3_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_3_tf1_tex(conv2d_3_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_3_tf2_tex(conv2d_3_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_3_tf3_tex(conv2d_3_tf3_pos)), 0.0)) #define g_8 (max((conv2d_5_tf_tex(conv2d_5_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_5_tf_tex(conv2d_5_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.4954155, -0.097350635, 0.2804199, -0.13652386, -0.14972939, 0.19721153, -0.23526497, -0.2423665, 0.12555814, -0.0705443, 0.043938212, 0.19388582, 0.09386085, -0.43720174, 0.29635525, 0.26856044) * g_0; result += mat4(0.14495872, 0.0610595, -0.20516497, 0.19073643, -0.008849148, 0.08743844, -0.12433487, 0.03215462, -0.01670364, -0.34068078, 0.15872881, -0.27169266, 0.33020407, 0.008234461, -0.12094001, 0.17628567) * g_1; result += mat4(0.04740511, -0.15941422, 0.124839395, 0.081435576, 0.09804199, 0.058109295, -0.025289856, -0.29283887, -0.1833574, -0.09766394, 0.06008274, 0.05992534, 0.47684956, -0.08688919, -0.02071398, -0.08875196) * g_2; result += mat4(0.051867574, -0.1671438, -0.015705047, -0.13457336, 0.13484482, -0.06867962, -0.0494534, -0.13416421, 0.031772017, 0.0070866095, 0.011681956, -0.2802077, -0.048953146, -0.0164331, 0.09649591, 0.040060654) * g_3; result += mat4(-0.4341213, 0.0894957, -0.16301447, 0.18785268, -0.28154027, 0.21622275, 0.22126062, 0.2361705, -0.087688446, 0.38882533, 0.020676106, -0.17769825, -0.18067831, 0.0878923, -0.18052578, 0.009196582) * g_4; result += mat4(-0.14932597, -0.025830185, -0.07313429, 0.28342503, 0.19499254, 0.122385964, 0.02120492, 0.15144306, -0.23691256, 0.043697022, -0.053712673, 0.2025457, -0.05035754, 0.04117272, 0.12530772, -0.2590774) * g_5; result += mat4(0.15071404, 0.015031444, 0.24973233, -0.036299556, 0.30665022, 0.15286064, -0.03598529, 0.060580775, 0.10571382, -0.06852027, -0.13089266, -0.33822387, 0.04771977, -0.15371466, -0.14530133, 0.0127773) * g_6; result += mat4(-0.04100588, 0.080336295, -0.0012170919, -0.18198122, -0.12988265, 0.11356896, 0.21294571, -0.080107085, -0.1408792, -0.24597132, 0.046940666, -0.029645668, 0.1568284, -0.07500836, -0.13504413, -0.17453668) * g_7; result += mat4(0.38996047, -0.027129678, 0.2774081, 0.11160041, 0.2672792, -0.09991047, -0.1424887, -0.12418898, 0.15399674, -0.0089404015, 0.2265917, -0.08212792, 0.25704643, -0.013109098, -0.31268027, 0.10123544) * g_8; result += mat4(0.033000022, 0.15843867, -0.21515252, -0.046294916, -0.35692936, 0.08798134, 0.23537703, 0.0043003275, -0.1383531, 0.1972939, -0.2003098, 0.1543574, 0.053583264, 0.29797947, 0.13025342, 0.038611986) * g_9; result += mat4(0.10687409, 0.077787064, 0.27379388, 0.13262683, -0.23440802, 0.1360886, -0.20802121, 0.06401844, 0.26749787, 0.29900748, -0.04572612, 0.3015703, -0.3005316, 0.16046184, -0.0419697, -0.23878895) * g_10; result += mat4(-0.063034855, 0.07657174, -0.17484638, 0.07603076, -0.06233915, -0.11565521, 0.02205211, -0.025715057, 0.102525316, 0.044643577, 0.112743095, -0.08565946, -0.121290885, -0.1572643, 0.19650643, -0.13887478) * g_11; result += mat4(-0.36125946, -0.1215746, 0.15642375, 0.26731244, 0.24759081, 0.1720814, 0.3640398, -0.32403925, -0.06189445, 0.23764968, -0.02306858, 0.17816281, -0.06804958, 0.06811998, -0.07474977, 0.24738653) * g_12; result += mat4(0.054465637, 0.057861228, 0.059370693, -0.12227704, -0.024842938, -0.10762688, -0.13456275, 0.10306674, 0.058080807, -0.3396897, -0.08585732, 0.016198207, -0.09374, 0.3309844, 0.00036378333, -0.16453783) * g_13; result += vec4(0.016481666, 0.009086331, -0.036633138, 0.0041078017); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x56 //!HOOK MAIN //!BIND conv2d_3_tf //!BIND conv2d_3_tf1 //!BIND conv2d_3_tf2 //!BIND conv2d_3_tf3 //!BIND conv2d_5_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!SAVE conv2d_6_tf1 //!WIDTH conv2d_3_tf.w //!HEIGHT conv2d_3_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_3_tf_tex(conv2d_3_tf_pos)), 0.0)) #define g_1 (max((conv2d_3_tf1_tex(conv2d_3_tf1_pos)), 0.0)) #define g_2 (max((conv2d_3_tf2_tex(conv2d_3_tf2_pos)), 0.0)) #define g_3 (max((conv2d_3_tf3_tex(conv2d_3_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_3_tf_tex(conv2d_3_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_3_tf1_tex(conv2d_3_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_3_tf2_tex(conv2d_3_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_3_tf3_tex(conv2d_3_tf3_pos)), 0.0)) #define g_8 (max((conv2d_5_tf_tex(conv2d_5_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_5_tf_tex(conv2d_5_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.3210504, -0.13668466, 0.20637684, 0.0037060305, -0.2674051, -0.11230086, 0.29947895, 0.093965776, -0.08801977, 0.23411755, -0.00690265, 0.22540577, 0.3496324, -0.07614303, -0.2682172, -0.18024528) * g_0; result += mat4(-0.12103706, -0.061189037, 0.019804776, 0.31127328, -0.36069378, 0.213189, 0.22896592, 0.008048813, -0.021931307, 0.3776008, 0.04475082, 0.08132412, 0.12560965, -0.12159681, 0.012501785, -0.3363862) * g_1; result += mat4(-0.2294047, 0.038059004, 0.21087843, 0.037582193, -0.026122637, 0.28849372, 0.24839666, 0.13881797, -0.29496697, -0.17923991, 0.024531588, -0.06418792, 0.015839651, 0.12997966, 0.23888347, -0.1048919) * g_2; result += mat4(-0.18445078, 0.025115933, 0.08433517, -0.22597772, -0.12536137, 0.21140383, -0.030371241, 0.036926106, 0.19343626, -0.0041754777, 0.00244178, 0.021117657, 0.26237983, 0.22308359, 0.2492868, -0.24042289) * g_3; result += mat4(0.22000861, 0.08476075, 0.11643673, 0.15832588, 0.03325583, 0.24106406, 0.2292178, -0.2764258, -0.06348522, 0.17427239, 0.16678956, 0.17231269, -0.0872214, -0.0135706505, -0.06671483, -0.07503989) * g_4; result += mat4(-0.30087617, 0.3176826, -0.31664857, -0.101466715, 0.073069066, 0.0038022113, -0.13776854, 0.10784852, 0.02954845, -0.24216515, -0.19634016, 0.022595271, -0.17444247, 0.17016955, -0.07563684, 0.20474768) * g_5; result += mat4(-0.27660307, -0.07230632, -0.09617381, 0.21262856, 0.11049351, 0.050447285, -0.3273503, 0.05641904, -0.042776052, -0.17620195, -0.06274188, 0.039536018, -0.070038274, 0.20343757, 0.08803773, 0.009139854) * g_6; result += mat4(0.24007742, -0.13485539, -0.3781107, 0.027324034, 0.010332106, 0.08556457, -0.2392748, -0.13601078, -0.19836703, 0.022715727, -0.016411083, -0.17756946, -0.14373688, 0.020681657, 0.05082997, -0.14939624) * g_7; result += mat4(0.28352678, 0.20785898, -0.15538763, 0.04196249, 0.19792412, -0.24451323, 0.04824567, -0.1365707, 0.19390641, -0.061393958, -0.25272602, 0.0045554833, -0.21719287, -0.08406589, -0.048988152, 0.05259591) * g_8; result += mat4(-0.10792345, -0.29639974, 0.21581274, 0.029042492, -0.28554165, 0.10910743, 0.07680131, -0.13153972, 0.14755669, 0.0854899, 0.24539046, 0.08502808, 0.22990887, 0.15149027, 0.23587988, -0.09517703) * g_9; result += mat4(0.15912442, -0.34394726, 0.34174097, 0.25116822, -0.24741888, 0.37633938, -0.08430594, 0.2769256, -0.03159722, 0.05234807, 0.029541405, -0.1266574, -0.122047566, -0.16540837, 0.2679574, -0.23974617) * g_10; result += mat4(-0.10200111, -0.11974673, -0.0079962695, -0.39264813, -0.006873918, -0.23566915, 0.13980511, -0.070295505, 0.12384241, 0.09101257, -0.04413333, -0.112293474, -0.27065778, 0.03445708, 0.16511594, 0.37050763) * g_11; result += mat4(-0.096395366, 0.06278703, -0.09479416, -0.488774, -0.09141473, 0.12217416, -0.11785924, -0.22766003, 0.16063516, 0.00020897393, 0.3078544, 0.18561389, -0.15621823, -0.13971844, 0.020068014, 0.013216665) * g_12; result += mat4(0.12522821, 0.0046115327, -0.007866688, -0.22109744, 0.2225005, -0.051918246, 0.11966214, -0.119629785, 0.2925202, -0.26889777, -0.3189588, -0.24831142, -0.036346573, 0.047227684, 0.1266368, 0.1058624) * g_13; result += vec4(0.020081282, -0.013928095, 0.0059036794, 0.08544713); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x56 //!HOOK MAIN //!BIND conv2d_3_tf //!BIND conv2d_3_tf1 //!BIND conv2d_3_tf2 //!BIND conv2d_3_tf3 //!BIND conv2d_5_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!SAVE conv2d_6_tf2 //!WIDTH conv2d_3_tf.w //!HEIGHT conv2d_3_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_3_tf_tex(conv2d_3_tf_pos)), 0.0)) #define g_1 (max((conv2d_3_tf1_tex(conv2d_3_tf1_pos)), 0.0)) #define g_2 (max((conv2d_3_tf2_tex(conv2d_3_tf2_pos)), 0.0)) #define g_3 (max((conv2d_3_tf3_tex(conv2d_3_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_3_tf_tex(conv2d_3_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_3_tf1_tex(conv2d_3_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_3_tf2_tex(conv2d_3_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_3_tf3_tex(conv2d_3_tf3_pos)), 0.0)) #define g_8 (max((conv2d_5_tf_tex(conv2d_5_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_5_tf_tex(conv2d_5_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.056797255, -0.032698087, 0.029859383, 0.12932985, -0.31103006, 0.09165681, -0.15708402, 0.38043964, -0.13528557, 0.2859556, 0.14288856, 0.13102476, -0.08694984, -0.11780176, 0.16207103, -0.11293293) * g_0; result += mat4(-0.008796308, 0.118975446, -0.081319205, 0.2084897, 0.08794772, 0.10214503, -0.08378455, -0.10624162, 0.05444449, 0.22647963, -0.12047645, 0.10406878, -0.031486277, 0.045164254, 0.47999045, -0.18060975) * g_1; result += mat4(-0.0077636116, 0.05870985, 0.24050762, 0.31322572, 0.08778678, 0.14943774, 0.050537623, -0.102939114, 0.3195675, -0.14615574, -0.26218277, -0.25581908, -0.0019809192, -0.03835245, 0.031318333, -0.1428093) * g_2; result += mat4(0.11256259, -0.19089468, -0.06846508, 0.033907987, -0.35249296, -0.06160221, 0.27247807, -0.048603278, 0.040144738, -0.0032360333, -0.2515736, 0.43086162, -0.055536952, -0.11406552, 0.382992, 0.27862927) * g_3; result += mat4(-0.03384886, 0.10702642, 0.003908078, -0.009494176, 0.2838821, -0.12845019, 0.12637386, 0.19460931, -0.034333568, 0.012672623, 0.21387313, 0.15411916, 0.14327122, -0.1352761, -0.2997244, -0.017908785) * g_4; result += mat4(-0.29253754, 0.33169383, 0.0082393335, -0.20709762, 0.2854362, -0.20728073, -0.22790352, 0.09301863, 0.13168077, -0.07411445, 0.09350424, -0.046449713, -0.11836855, -0.30250466, -0.13257061, 0.3576938) * g_5; result += mat4(-0.13777697, 0.056764964, -0.36749512, 0.04235051, -0.041132767, -0.16603513, -0.023862578, -0.014339848, -0.38274148, 0.28778306, 0.15228234, 0.20225881, -0.02469988, -0.101541154, 0.26388898, -0.20009927) * g_6; result += mat4(0.15456057, 0.27760306, -0.06929698, -0.24072653, 0.1415152, -0.1549776, 0.030720191, -0.0019005954, -0.06598489, -0.11686977, 0.12704816, -0.30917537, -0.14339961, 0.12742354, -0.23345275, -0.3419119) * g_7; result += mat4(0.18928154, -0.19353028, -0.15966406, -0.19417015, 0.10313398, 0.0046505663, 0.21482769, -0.23275238, -0.20456892, -0.5014606, -0.10783419, 0.25891942, -0.24919175, -0.10028775, -0.2961402, 0.077766955) * g_8; result += mat4(-0.085105784, 0.06528528, 0.102185756, 0.099264726, -0.00020144526, -0.08768721, -0.09324967, 0.30346313, -0.084492646, -0.14017163, -0.043167874, -0.20060216, 0.09593379, 0.28399333, 0.08168489, -0.33063418) * g_9; result += mat4(0.15791257, 0.057779472, -0.20147012, 0.07967618, 0.04262509, 0.039220728, -0.15080509, 0.17438835, -0.044964172, -0.14530478, 0.31693324, 0.08582341, -0.1061789, 0.2800015, 0.33440664, 0.09700403) * g_10; result += mat4(-0.14642169, -0.07778901, 0.13264288, -0.24182376, 0.23503877, 0.005028356, -0.30113846, 0.22778516, -0.1648793, -0.033169918, -0.20036162, -0.35071707, -0.06705746, 0.12431054, -0.022009062, -0.07124459) * g_11; result += mat4(0.06766408, 0.09030523, 0.22668982, -0.38617492, -0.10099634, -0.029897379, 0.24775109, -0.20888264, 0.056208886, 0.0044284128, 0.16691649, 0.22874106, 0.0038740179, -0.07576401, 0.27207628, 0.11311432) * g_12; result += mat4(-0.11319886, -0.3020603, 0.08133381, 0.19350809, 0.032002088, -0.038216423, -0.12224599, 0.08397432, 0.021123007, 0.075326644, 0.29643238, 0.20064169, 0.042381126, -0.002854783, -0.027586436, -0.06968597) * g_13; result += vec4(0.038540784, 0.053720564, 0.012191528, -0.029126916); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x56 //!HOOK MAIN //!BIND conv2d_3_tf //!BIND conv2d_3_tf1 //!BIND conv2d_3_tf2 //!BIND conv2d_3_tf3 //!BIND conv2d_5_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!SAVE conv2d_6_tf3 //!WIDTH conv2d_3_tf.w //!HEIGHT conv2d_3_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_3_tf_tex(conv2d_3_tf_pos)), 0.0)) #define g_1 (max((conv2d_3_tf1_tex(conv2d_3_tf1_pos)), 0.0)) #define g_2 (max((conv2d_3_tf2_tex(conv2d_3_tf2_pos)), 0.0)) #define g_3 (max((conv2d_3_tf3_tex(conv2d_3_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_3_tf_tex(conv2d_3_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_3_tf1_tex(conv2d_3_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_3_tf2_tex(conv2d_3_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_3_tf3_tex(conv2d_3_tf3_pos)), 0.0)) #define g_8 (max((conv2d_5_tf_tex(conv2d_5_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_5_tf_tex(conv2d_5_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.014542811, -0.1261262, 0.17474864, -0.18425815, -0.3337646, 0.14748253, 0.09152566, 0.2310806, -0.06578738, -0.3566174, -0.22862534, 0.15323487, 0.01515519, 0.26764703, -0.13214609, 0.09887451) * g_0; result += mat4(0.19941364, 0.015275053, -0.022320624, 0.020372959, -0.10664179, -0.28493354, 0.014191545, 0.12122301, -0.045194257, -0.22491856, -0.071520865, -0.020854274, 0.13432617, 0.25484133, 0.018084215, -0.06713652) * g_1; result += mat4(0.017183261, -0.056154247, 0.13298456, -0.07631693, 0.18904336, -0.41949302, 0.14992298, 0.11840105, 0.13420148, 0.029390668, 0.017888589, -0.1975919, 0.22601372, -0.061724294, 0.12116033, -0.19753963) * g_2; result += mat4(0.020371309, 0.21103396, 0.034326386, -0.23044631, 0.12982637, -0.14810205, -0.23559897, -0.2222485, 0.18240234, -0.17697355, -0.11639408, -0.08132961, 0.039377302, 0.07299684, 0.094041504, -0.13445067) * g_3; result += mat4(-0.3512728, 0.09182307, -0.2731474, -0.20885572, 0.07993976, 0.23121795, 0.15620309, 0.3383141, -0.28460538, 0.12850872, 0.1916648, 0.13205391, 0.14932914, 0.041017998, -0.17976354, -0.0014468295) * g_4; result += mat4(-0.069909975, -0.23581205, 0.11732144, 0.35232806, 0.3549401, -0.2124837, 0.10403375, -0.09976183, 0.1178997, 0.09910817, 0.061140217, 0.18059346, -0.48723674, 0.037783384, 0.109662086, 0.15543982) * g_5; result += mat4(0.11262317, -0.12212692, -0.14394115, 0.15909098, 0.22035566, 0.06488609, -0.2719919, -0.05028129, -0.21462728, 0.17861556, -0.023895046, -0.060819868, -0.17524192, -0.042733762, 0.142835, 0.2747072) * g_6; result += mat4(-0.034566112, -0.18427409, 0.09579439, -0.16909808, 0.052964725, -0.058238853, 0.33444786, -0.20727915, -0.31497413, -0.11388015, 0.13721034, 0.19388893, -0.21066165, -0.14097935, 0.030426605, 0.110704474) * g_7; result += mat4(0.094303906, -0.23499818, -0.43609008, 0.21279193, 0.39544016, 0.19924188, -0.07611524, 0.012560389, -0.08812965, -0.13701713, 0.01677176, -0.29865423, -0.06948771, 0.14918856, 0.1985359, 0.3003729) * g_8; result += mat4(0.014332535, -0.021538176, 0.20930877, -0.029769948, -0.06551115, 0.11966418, -0.08329082, 0.049386136, 0.08940004, 0.16989197, 0.06084547, 0.13855645, -0.10395637, -0.27498555, -0.19077462, 0.043506) * g_9; result += mat4(-0.31060696, 0.047150746, 0.22204353, 0.31374148, 0.06301296, -0.007103609, -0.2580888, -0.07127509, 0.11478869, 0.094191864, 0.21567936, -0.06297016, 0.06925183, -0.023501558, 0.16371831, 0.2506513) * g_10; result += mat4(0.07425674, 0.012622665, 0.02251264, -0.0731929, -0.008055616, 0.09563007, 0.063964136, 0.24579796, -0.30710867, 0.13981472, 0.025152119, -0.11285761, -0.4419823, -0.026953885, 0.14130811, -0.22058487) * g_11; result += mat4(-0.04211301, -0.17002018, -0.13325875, 0.20184138, 0.09686255, 0.054461457, 0.16713423, -0.031002847, -0.26473212, 0.11992785, 0.04697473, 0.051042553, 0.17835025, -0.12469087, -0.3201284, -0.088562444) * g_12; result += mat4(0.13638292, -0.033149652, -0.19838256, -0.09581218, 0.0060164076, 0.42301872, -0.07126564, -0.10523957, 0.16030665, -0.20535246, -0.14773448, -0.015409135, -0.24350728, 0.23187117, 0.0220223, -0.039217964) * g_13; result += vec4(-0.011449135, -0.002830778, 0.09782809, -0.0067631872); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_6_tf //!BIND conv2d_6_tf1 //!BIND conv2d_6_tf2 //!BIND conv2d_6_tf3 //!SAVE conv2d_8_tf //!WIDTH conv2d_6_tf.w //!HEIGHT conv2d_6_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_6_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_6_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_6_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_6_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_6_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_6_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_6_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_6_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.08278094, -0.06729527, 0.031399664, -0.092175096, -0.09598525, 0.0692705, 0.07357648, 0.01260903, 0.045900777, 0.038010124, 0.15354258, -0.047163863, -0.043397132, -0.12536208, 0.02847729, -0.013675385) * go_0(-1.0, -1.0); result += mat4(0.06463816, -0.17011416, -0.072270736, -0.00077445264, 0.05667064, 0.19799162, 0.026234929, -0.108368374, 0.11948396, -0.015124027, -0.05998398, -0.003967303, -0.03935485, -0.12709956, -0.022918347, 0.030837826) * go_0(-1.0, 0.0); result += mat4(0.016932894, -0.124500565, 0.038753737, -0.053246994, -0.011897654, 0.06793573, 0.009754347, 0.093742564, -0.0022504984, -0.10328963, -0.041577645, 0.12853336, -0.0019680248, -0.06569624, -0.00980168, 0.07412545) * go_0(-1.0, 1.0); result += mat4(-0.011991195, -0.14135748, 0.022438431, -0.08267288, -0.102458276, -0.06054887, 0.0740161, -0.22415951, -0.10556297, 0.067763075, -0.0012128456, -0.08078541, 0.037686612, -0.05131911, -0.077715784, -0.10292683) * go_0(0.0, -1.0); result += mat4(-0.03901934, -0.025878599, -0.0039180447, -0.011033788, 0.08859326, 0.08883106, 0.06486116, 0.022174777, -0.017150419, 0.003371806, 0.14988162, -0.015397375, -0.22962348, 0.13905591, 0.0304279, 0.05778632) * go_0(0.0, 0.0); result += mat4(-0.036198925, 0.010353016, 0.18139736, -0.030242506, 0.013582345, -0.1253235, 0.10521855, 0.08867587, -0.08140836, 0.05626297, 0.060417447, 0.023256533, -0.08408929, -0.050643906, -0.044822842, -0.03461039) * go_0(0.0, 1.0); result += mat4(0.051602095, -0.0035041904, -0.08575373, 0.037096065, 0.07106982, 0.16974165, 0.035875358, -0.10185968, -0.061462298, 0.055281874, -0.10975635, 0.060814563, 0.19476666, -0.08311511, -0.090538144, -0.029539565) * go_0(1.0, -1.0); result += mat4(-0.11952374, 0.026727766, 0.084769025, 0.12317156, 0.010292374, -0.004846773, -0.00056787115, -0.0043771397, -0.09487309, -0.067313395, -0.091773935, 0.024257664, 0.06091223, -0.06471365, -0.1844986, -0.0070593283) * go_0(1.0, 0.0); result += mat4(-0.0129227275, -0.07383303, -0.094597906, 0.027363284, 0.12854053, 0.029074714, 0.17636952, 0.009017012, -0.11885556, 0.021179812, 0.032750517, -0.10665486, -0.117322296, 0.15855946, -0.042696536, -0.034112938) * go_0(1.0, 1.0); result += mat4(-0.18735315, -0.0383124, 0.08355156, 0.0009654472, -0.027351197, -0.11594707, -0.11390738, -0.073805965, 0.016577588, -0.041749846, 0.095151775, -0.013978341, -0.045601666, 0.028430155, 0.044656575, 0.026988927) * go_1(-1.0, -1.0); result += mat4(0.038661715, -0.033163723, 0.051213194, -0.017374616, -0.045903623, -0.15435313, -0.21136428, -0.085471176, 0.033464145, -0.1568745, 0.025762582, -0.1323702, -0.076927684, 0.082414575, -0.007401752, -0.010405403) * go_1(-1.0, 0.0); result += mat4(0.12922324, -0.045166656, -0.119287744, -0.04893617, -0.16573387, 0.10323662, -0.10845215, -0.08680144, 0.053727087, -0.099716894, -0.12107649, -0.035701852, -0.10188255, -0.1050426, -0.11734088, 0.012192005) * go_1(-1.0, 1.0); result += mat4(0.010157501, -0.028124793, -0.23867199, 0.028386971, -0.05079922, 0.14048165, 0.12307385, 0.04237863, -0.09109179, -0.12844259, 0.12961523, 0.11307605, -0.0037782195, 0.12505195, -0.033914108, 0.15617172) * go_1(0.0, -1.0); result += mat4(-0.05588651, 0.20299816, -0.04803554, 0.07680136, -0.07316037, 0.11256523, 0.021389104, 0.06444092, -0.033678472, -0.1238879, 0.32729727, 0.1160183, 0.24852078, 0.09187297, 0.030721879, -0.17204261) * go_1(0.0, 0.0); result += mat4(-0.1090884, -0.08179965, 0.012365602, 0.0023614678, 0.047255266, -0.011425142, 0.050309908, 0.020743, 0.011185459, -0.0783444, -0.10389257, 0.15164678, -0.09860278, 0.2308804, 0.14304534, -0.023106692) * go_1(0.0, 1.0); result += mat4(0.13734475, 0.028718147, 0.012539987, -0.14427094, 0.18098259, 0.042366285, -0.0006354639, -0.033402618, -0.08078463, -0.036856003, -0.09954893, 0.08161202, -0.0700716, -0.1013236, 0.14824523, 0.01243695) * go_1(1.0, -1.0); result += mat4(-0.052275825, 0.013260194, 0.008599061, 0.048557945, -0.01833292, 0.07512356, -0.13110496, -0.1584473, -0.05318785, 0.15830933, -0.06464659, -0.12064129, 0.02371888, 0.016303185, 0.19887853, 0.18558335) * go_1(1.0, 0.0); result += mat4(0.032500263, 0.03570767, -0.015267871, 0.02510295, -0.16201164, -0.033186425, 0.13611977, 0.004775358, -0.020494966, 0.015229924, 0.09721559, -0.008303934, 0.20763409, 0.052391976, -0.074661806, 0.028839186) * go_1(1.0, 1.0); result += mat4(-0.06636867, -0.04612264, -0.05086471, 0.039922826, -0.11093169, 0.049438246, 0.11703952, -0.22848104, 0.06390542, 0.19045272, -0.039848838, 0.020837499, 0.0740839, 0.07413691, 0.0029493799, -0.006748913) * go_2(-1.0, -1.0); result += mat4(-0.031790916, -0.03261483, 0.03141088, -0.06491077, -0.0059831943, 0.056244142, -0.092812866, 0.06591125, 0.05781488, 0.06261082, -0.15501937, 0.1827671, -0.0065676877, -0.0029327788, -0.10061289, 0.001621177) * go_2(-1.0, 0.0); result += mat4(-0.021516185, -0.035738394, 0.02173596, -0.09346334, -0.024093078, 0.20837367, -0.19447315, -0.106595434, 0.1764288, 0.10132692, -0.20130908, 0.0020316292, 0.088547304, -0.14616993, -0.004568217, -0.05189275) * go_2(-1.0, 1.0); result += mat4(0.1434771, 0.16794604, 0.049545784, -0.14729089, -0.09666416, 0.021916742, -0.16318898, 0.005039905, -0.014329562, -0.14026406, 0.04786338, 0.032467626, -0.040357247, -0.036503237, 0.066264, 0.044725385) * go_2(0.0, -1.0); result += mat4(-0.044699024, 0.2657712, -0.045145772, 0.023147859, -0.007385799, 0.054834887, 0.0045836456, -0.14960848, 0.021600831, -0.080300994, 0.23189497, 0.16937429, 0.15613528, 0.07286254, 0.07573354, -0.09220955) * go_2(0.0, 0.0); result += mat4(-0.118413486, 0.116047636, 0.04855291, 0.17476392, 0.18554908, -0.1393284, -0.26401383, -0.12099436, 0.39432368, 0.06991714, -0.23502299, 0.09135091, -0.0004467319, 0.18719012, -0.06892029, -0.049125932) * go_2(0.0, 1.0); result += mat4(-0.04694353, 0.05887831, 0.051786385, 0.09872501, 0.016071057, 0.0675272, -0.07588389, 0.08099156, -0.08351224, 0.028720237, -0.18468943, -0.064417, 0.02897887, -0.02838868, -0.0051516593, 0.020160142) * go_2(1.0, -1.0); result += mat4(0.06967655, -0.10119048, -0.07461322, 0.046589576, -0.07417147, -0.27599525, -0.14567149, -0.018966913, -0.0080859475, 0.097926416, -0.004793609, -0.0238407, 0.13844706, 0.052965965, 0.18324359, -0.07171396) * go_2(1.0, 0.0); result += mat4(0.09684431, 0.07697054, 0.07467197, 0.0841034, -0.03485726, -0.19047433, -0.13606454, -0.14253993, 0.0042300713, 0.12028247, 0.0343525, 0.15145339, 0.047937512, -0.019340659, 0.043160856, 0.1289243) * go_2(1.0, 1.0); result += mat4(-0.026626844, -0.012561339, -0.09748627, -0.054832272, -0.0049458332, -0.034060504, 0.013348937, -0.17650189, -0.003711293, 0.22327754, 0.0058838148, -0.08777391, -0.02241254, 0.06661738, 0.056674536, 0.15060939) * go_3(-1.0, -1.0); result += mat4(0.057583887, -0.096711345, -0.13132288, 0.04828797, 0.18810083, -0.010919861, -0.03167035, 0.054168098, -0.07418671, 0.007635684, -0.12464779, -0.087896496, -0.11705839, 0.15784474, -0.05894365, 0.00985668) * go_3(-1.0, 0.0); result += mat4(0.04880203, 0.15284486, -0.07269711, 0.06278638, 0.0020699063, -0.10799795, 0.011133507, -0.07771604, 0.055557128, -0.06618517, -0.09253136, -0.029467167, -0.09276546, 0.04678591, 0.051960696, 0.103199065) * go_3(-1.0, 1.0); result += mat4(0.080728024, 0.12400965, -0.03501919, 0.035573788, 0.19680372, -0.021293646, 0.14413169, -0.1221883, -0.03054547, 0.030825824, 0.11822608, 0.076860145, 0.111504436, 0.08573583, -0.045738664, 0.13754657) * go_3(0.0, -1.0); result += mat4(-0.20742206, 0.1834124, 0.06952014, -0.16472295, 0.34194514, -0.015351303, 0.011443411, -0.02556704, 0.0299547, -0.14608088, 0.10182188, 0.07452315, 0.12299894, -0.066409536, 0.11641269, 0.0396994) * go_3(0.0, 0.0); result += mat4(-0.038516127, -0.12653664, -0.101806566, -0.21038078, 0.21433663, -0.068815336, 0.0032489449, -0.016478453, -0.053524405, -0.14795046, -0.109093994, -0.12870269, -0.002630448, -0.06801728, 0.14639665, -0.06822433) * go_3(0.0, 1.0); result += mat4(-0.07080211, -0.040826853, -0.033220325, -0.059183825, 0.04329672, 0.063708104, -0.035263177, -0.0458802, -0.02008796, -0.049146526, 0.089134075, 0.03859085, -0.045549996, 0.029697193, 0.15034728, -0.0018817111) * go_3(1.0, -1.0); result += mat4(0.039675616, 0.018654805, 0.13472396, -0.10085893, 0.10066916, -0.08033906, 0.018985836, 0.1816522, -0.018084701, -0.10209158, 0.0449365, 0.09099806, -0.020470351, -0.06829825, -0.014519299, -0.00509428) * go_3(1.0, 0.0); result += mat4(-0.15741396, 0.05455757, 0.117732294, -0.057458114, -0.114514634, -0.094042346, -0.17771651, -0.061140526, -0.060833562, 0.10035822, 0.06124312, -0.06661064, -0.0018217589, 0.038015686, 0.01619762, 0.052612346) * go_3(1.0, 1.0); result += mat4(-0.046267886, 0.027238147, -0.081795394, -0.09895906, 0.05681646, -0.18517537, 0.12982327, 0.1463164, -0.20571908, -0.0044081192, -0.07597679, 0.06798806, -0.024998685, -0.105057, 0.020142943, -0.04110074) * go_4(-1.0, -1.0); result += mat4(-0.07359837, 0.08834078, -0.07412248, -0.12616368, 0.0115964, -0.04456031, 0.008991023, -0.015968446, -0.043489736, 0.14576635, 0.13684048, 0.15739883, 0.05994394, 0.11297449, 0.12657966, -0.059943344) * go_4(-1.0, 0.0); result += mat4(-0.17568645, 0.11484936, 0.062251553, -0.15136053, 0.29049096, 0.0024718787, 0.121878795, -0.009670675, -0.19996215, 0.029120186, 0.12848198, 0.076529734, 0.011830436, 0.1576248, -0.12900768, -0.05310298) * go_4(-1.0, 1.0); result += mat4(-0.06142374, -0.17815915, 0.00058353646, -0.0667871, 0.0668762, -0.29092032, 0.23282619, -0.010448164, 0.05979426, 0.08196557, 0.111800365, 0.1558172, -0.010005564, 0.075883746, -0.040655583, 0.0051063546) * go_4(0.0, -1.0); result += mat4(-0.0077534625, -0.14138709, 0.010493417, -0.15145995, -0.09795836, 0.106897555, 0.26405326, 0.07498084, -0.15466009, -0.19128636, 0.15841517, 0.054464955, 0.031502593, -0.09426758, 0.22110905, -0.00015192994) * go_4(0.0, 0.0); result += mat4(-0.35819224, -0.10807826, 0.06658498, -0.10841418, 0.09475472, 0.13453954, -0.013960625, -0.009735592, 0.038927417, 0.13535383, 0.033521585, -0.094346955, -0.019520368, 0.06643515, -0.07618614, -0.07051688) * go_4(0.0, 1.0); result += mat4(-0.055401906, -0.037381615, 0.041573223, -0.14800537, -0.1526917, 0.050005253, -0.049910907, 0.047916252, 0.034644917, -0.14797066, 0.046542633, -0.07104987, -0.026582243, 0.15330225, 0.2227041, 0.19780077) * go_4(1.0, -1.0); result += mat4(0.003628358, -0.059674487, -0.21862231, -0.1362011, 0.016803924, 0.20197828, 0.18969901, 0.09246762, 0.027481126, -0.019240722, -0.061361928, 0.1739253, 0.01544318, -0.11393152, 0.047847472, 0.11922861) * go_4(1.0, 0.0); result += mat4(-0.16246219, -0.12184918, 0.02492925, -0.035550725, 0.03243216, -0.0061611524, 0.06504156, 0.12337497, -0.03740865, 0.2711029, 0.19475599, 0.0069879107, -0.04362148, -0.002894425, -0.08314916, -0.25339) * go_4(1.0, 1.0); result += mat4(0.06639268, 0.1226432, -0.114832185, 0.070980854, -0.0730899, 0.057009514, 0.046833325, -0.067606986, -0.09919963, -0.37281474, -0.017902378, 0.063805416, 0.08555195, 0.048291102, -0.020758439, -0.027784465) * go_5(-1.0, -1.0); result += mat4(0.013405216, -0.14713968, -0.10929318, -0.024524782, -0.19179231, 0.005229531, -0.035046607, -0.03029374, 0.12758893, -0.06695983, -0.16914585, -0.02630946, -0.05946738, 0.0141625535, -0.08066392, -0.0039679087) * go_5(-1.0, 0.0); result += mat4(-0.081084944, 0.16825265, 0.057608504, 0.015340001, 0.03824054, -0.10183542, 0.0990391, 0.101068445, -0.0107377535, 0.028140228, 0.1429819, -0.016266476, -0.117353275, -0.18448253, 0.18239972, 0.14592138) * go_5(-1.0, 1.0); result += mat4(0.022838028, -0.13077143, 0.020248974, -0.055619814, 0.36748004, -0.25471938, 0.22140662, 0.037865274, 0.043932404, 0.055467438, 0.01949179, -0.17188439, -0.029154088, 0.07582445, 0.2514083, 0.017520098) * go_5(0.0, -1.0); result += mat4(0.24249633, -0.015670802, 0.10350504, 0.10091157, 0.073665835, 0.154068, -0.13934352, 0.034722574, -0.14473338, 0.16642897, 0.14154346, 0.19300297, -0.15170477, 0.17405164, 0.0993315, 0.082411245) * go_5(0.0, 0.0); result += mat4(0.120236054, 0.04393166, -0.1274564, -0.14343578, -0.17841624, 0.14795913, 0.1327008, 0.04306565, 0.03820121, 0.036950663, -0.09966917, 0.1561982, 0.15704241, 0.010505043, -0.059078265, 0.17782433) * go_5(0.0, 1.0); result += mat4(0.015989952, -0.10346438, 0.01477996, 0.01381734, -0.0020046702, -0.08296894, 0.030247187, -0.06902144, -0.033283636, 0.08230534, 0.2041918, -0.017593132, -0.05823506, -0.06271958, 0.057211872, 0.16528864) * go_5(1.0, -1.0); result += mat4(0.15105817, 0.08504043, -0.14911468, -0.19373105, 0.077416345, -0.07362624, -0.14520273, -0.117083244, -0.098855175, -0.11546281, 0.2013104, -0.09206118, 0.049059115, -0.03629559, 0.071217075, 0.1291613) * go_5(1.0, 0.0); result += mat4(-0.03957678, -0.12520507, -0.045303326, -0.11613586, 0.16313192, 0.072967835, 0.025449362, 0.01722513, -0.055758182, -0.043600183, -0.02403487, -0.031192053, 0.14819577, -0.051370014, -0.14941072, 0.034644872) * go_5(1.0, 1.0); result += mat4(-0.073024414, 0.02202545, 0.09309926, -0.06473012, -0.091724865, 0.05130679, -0.015425844, 0.021199657, 0.08321363, 0.077499814, -0.12684996, 0.11093035, -0.0031282227, -0.16674936, -0.037387174, 0.051467184) * go_6(-1.0, -1.0); result += mat4(-0.02690489, -0.010381964, 0.104083754, -0.026472932, -0.28350607, 0.09717675, 0.040012196, -0.025573855, 0.14496754, 0.043652393, 0.066548236, -0.13428038, 0.05158042, 0.029492611, 0.06677995, -0.09331364) * go_6(-1.0, 0.0); result += mat4(-0.008557023, 0.053805478, 0.14596899, 0.14682902, -0.1280871, -0.12252611, -0.1342184, -0.09569089, 0.04287121, 0.14218418, -0.01535556, 0.14128487, 0.07601873, 0.062792934, 0.17843449, 0.0013233593) * go_6(-1.0, 1.0); result += mat4(-0.03626641, -0.086798765, 0.111303665, 0.084100485, -0.034761395, -0.1768037, 0.06328535, -0.056683894, 0.04654289, 0.17042455, 0.010163501, 0.04580083, 0.163605, 0.06626728, -0.08693581, -0.27529544) * go_6(0.0, -1.0); result += mat4(0.07475657, -0.010114883, 0.13548818, 0.05231574, -0.04789571, -0.20014645, -0.13627432, -0.08317294, 0.18127209, 0.1864717, 0.101762116, -0.14188983, -0.19037981, -0.034903, 0.06820425, 0.06638825) * go_6(0.0, 0.0); result += mat4(0.0842221, -0.080642395, 0.07986916, 0.09827023, 0.005293987, -0.23334707, -0.021650719, -0.1095129, 0.13535668, 0.062001623, 0.14404789, 0.22836635, 0.013712175, -0.03593151, -0.107020594, 0.106728524) * go_6(0.0, 1.0); result += mat4(-0.0025111288, -0.02401042, 0.10017584, -0.0787389, -0.05934919, -0.003888015, -0.15397097, -0.118789256, 0.1755306, 0.062894, 0.08169569, 0.070930645, 0.009758565, 0.02642412, 0.11837063, 0.017998926) * go_6(1.0, -1.0); result += mat4(0.09113588, -0.07959844, -0.017930401, 0.15803315, 0.07464388, -0.043724272, -0.14296398, -0.10401141, 0.20054936, 0.084242016, 0.11802311, 0.18693525, 0.12843236, -0.1743202, -0.2691209, -0.10083827) * go_6(1.0, 0.0); result += mat4(-0.0104539115, -0.057354454, -0.052867286, 0.1466724, 0.09271791, 0.08887784, -0.02005143, -0.07572476, 0.27422255, 0.042678628, -0.20733066, 0.19042592, -0.1411383, 0.02257083, -0.064085186, -0.09262303) * go_6(1.0, 1.0); result += mat4(-0.039105386, 0.1234472, -0.050453164, -0.06813485, -0.03566356, -0.082925014, 0.004115353, 0.03527489, 0.14877772, 0.10940238, 0.038895883, 0.14791708, -0.00093082275, 0.013463437, 0.052204877, -0.09501719) * go_7(-1.0, -1.0); result += mat4(-0.13413331, 0.30298924, 0.06975083, 0.06468644, 0.021598302, -0.042296782, 0.047363598, 0.0656856, 0.116241224, -0.056966808, -0.048400965, 0.15398203, -0.017706253, -0.21229734, 0.081751674, -0.07334096) * go_7(-1.0, 0.0); result += mat4(-0.015395337, 0.08013673, -0.007724216, -0.16373841, -0.040737778, 0.046441197, 0.099434204, 0.010231656, -0.09467427, 0.0027398872, -0.11485949, -0.04768318, 0.021612423, 0.12103776, 0.0017846692, -0.19943565) * go_7(-1.0, 1.0); result += mat4(-0.03624946, 0.09955605, -0.05853764, 0.11099403, -0.11808308, -0.030056255, -0.0073744217, -0.077378385, -0.07616062, -0.12060334, 0.21527039, 0.18560308, 0.081354655, -0.09822593, 0.0857936, 0.022761296) * go_7(0.0, -1.0); result += mat4(0.17069015, -0.11525897, -0.051111165, -0.14717498, 0.012639682, 0.09998064, 0.17585759, -0.14529346, 0.1109187, -0.32648262, 0.004875526, -0.16914915, -0.3011962, 0.15414944, 0.1256961, 0.058924194) * go_7(0.0, 0.0); result += mat4(-0.09058702, 0.083920516, 0.16238095, 0.029322624, -0.043353304, 0.013579545, 0.0129472315, 0.06778881, 0.0683832, 0.035574593, 0.20563723, 0.06673693, 0.08938325, 0.038934063, 0.09244839, 0.028088508) * go_7(0.0, 1.0); result += mat4(-0.07614752, -0.047567874, -0.1380417, -0.18331873, 0.052511748, -0.0539637, 0.039498847, 0.08259066, -0.02891946, -0.021063829, 0.14133519, 0.01393951, -0.010774704, 0.016167268, -0.16802885, -0.061799638) * go_7(1.0, -1.0); result += mat4(-0.18863532, 0.16274302, 0.192186, -0.0077962317, -0.020892195, -0.09247625, 0.005973833, -0.09916121, 0.057757266, 0.22371474, 0.010263742, 0.05736251, -0.05340698, 0.010000294, 0.07362701, -0.036168545) * go_7(1.0, 0.0); result += mat4(0.13246104, -0.0075489967, 0.045744922, 0.012578804, 0.069654465, 0.09448002, 0.07289381, -0.028779842, -0.028920207, 0.019855209, -0.012340226, 0.11704812, -0.0732277, -0.06416991, -0.19167633, -0.19066313) * go_7(1.0, 1.0); result += vec4(-0.049622387, 0.08094756, 0.01070978, -0.004729037); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_6_tf //!BIND conv2d_6_tf1 //!BIND conv2d_6_tf2 //!BIND conv2d_6_tf3 //!SAVE conv2d_7_tf //!WIDTH conv2d_6_tf.w //!HEIGHT conv2d_6_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_6_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_6_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_6_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_6_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_6_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_6_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_6_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_6_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(0.035603523, -0.08185009, 0.100660555, -0.022107664, 0.006483063, 0.010618868, 0.066785395, -0.10532644, -0.022030462, -0.03625011, 0.007837545, 0.08149827, -0.12578116, -0.07853147, -0.05958921, 0.053226028) * go_0(-1.0, -1.0); result += mat4(-0.05855061, -0.015080681, 0.011201599, 0.20149398, 0.14702003, 0.12853478, 0.06493872, -0.11110786, -0.046400975, -0.051260192, -0.00061310694, 0.0035754163, -0.018769907, -0.05883245, 0.14298503, 0.044353373) * go_0(-1.0, 0.0); result += mat4(-0.03558178, 0.049559087, 0.12715517, -0.10066971, 0.09137559, 0.043789122, 0.022936953, -0.05118043, 0.04014738, 0.10581346, -0.0290242, -0.01377225, -0.022771021, 0.046499223, -0.017308814, 0.024164317) * go_0(-1.0, 1.0); result += mat4(-0.05326584, 0.0648063, -0.019037703, 0.026325414, -0.028105821, 0.06404821, -0.08319213, -0.028761376, 0.08944063, -0.043534186, -0.1310267, -0.15940449, -0.039495252, 0.05476147, 0.11432263, 0.061669342) * go_0(0.0, -1.0); result += mat4(-0.041112833, -0.21133068, 0.06816941, 0.055115074, 0.025840355, -0.026093813, 0.053838182, 0.019086495, -0.009952756, -0.070893176, 0.13810948, 0.0705213, 0.12261168, 0.055244014, 0.08636737, -0.13819547) * go_0(0.0, 0.0); result += mat4(0.004913478, -0.048463155, 0.0072081247, -0.003661033, -0.0008038985, 0.040157363, -0.10312559, -0.08591067, 0.040277693, -0.06355311, 0.06348351, -0.00020286323, -0.0517869, 0.079511285, 0.13597977, 0.14372323) * go_0(0.0, 1.0); result += mat4(0.060098045, 0.0035651794, 0.04503383, 0.028510861, 0.065317295, 0.16709213, 0.05087783, -0.0064135925, 0.13494767, 0.10095361, -0.061869144, -0.13709058, -0.04864603, 0.025154103, 0.07870689, 0.048005972) * go_0(1.0, -1.0); result += mat4(-0.033613607, -0.1275044, -0.060809586, -0.044648085, 0.010648507, 0.05642866, -0.06120529, -0.009423726, -0.01780852, 0.038888674, 0.0984886, 0.13126552, 0.07388317, 0.05093105, -0.016656855, -0.11651323) * go_0(1.0, 0.0); result += mat4(0.007843721, 0.017831927, -0.15450433, -0.15955317, 0.010202567, -0.009159524, -0.07439414, -0.089754924, -0.021661272, 0.03366527, -0.0006366156, 0.0006161091, -0.04967107, -0.07847564, 0.083504364, 0.05554673) * go_0(1.0, 1.0); result += mat4(0.031190002, 0.13800605, -0.15574321, 0.010022096, -0.14684476, 0.061689105, 0.014063308, -0.00039702927, -0.1003136, 0.068490945, 0.0048890817, -0.094239116, 0.021505974, 0.015284103, 0.090422966, -0.08774978) * go_1(-1.0, -1.0); result += mat4(0.09721201, -0.06701299, -0.039967485, 0.043807294, 0.08414275, -0.06183705, 0.16963054, 0.16145426, -0.046832524, -0.11351221, -0.025378993, -0.066796064, -0.108117335, 0.03834068, -0.084380955, 0.07838217) * go_1(-1.0, 0.0); result += mat4(0.01133327, -0.08794524, 0.043305114, -0.061654102, 0.0051152804, 0.027094582, 0.10866538, 0.028519077, -0.07746428, 0.0301101, -0.109595634, -0.072024494, 0.14254291, 0.06296279, -0.13838717, 0.029168306) * go_1(-1.0, 1.0); result += mat4(0.03323507, 0.0005419394, 0.049774323, 0.13523221, -0.11138956, 0.023692777, -0.12362618, -0.09451136, 0.043240786, -0.04068215, 0.100901894, 0.026546478, -0.039114397, -0.08423817, 0.131507, -0.08842477) * go_1(0.0, -1.0); result += mat4(-0.057802275, -0.013870614, -0.04850402, -0.04543366, -0.16024384, 0.0058730533, 0.0760309, 0.19207342, -0.19927716, -0.010100102, 0.09135455, -0.060649123, 0.025650078, 0.018444177, 0.00021598223, -0.04745473) * go_1(0.0, 0.0); result += mat4(-0.080954164, 0.048129823, 0.040365905, -0.046155997, -0.06328537, 0.03939891, 0.112972215, 0.06335107, -0.004712385, 0.03634818, -0.09019586, -0.09726606, 0.057669904, -0.08364145, -0.02754419, -0.016794952) * go_1(0.0, 1.0); result += mat4(0.06571239, -0.02034063, 0.047206875, 0.12161593, 0.025209486, -0.058197014, 0.111869335, 0.090523414, 0.077260986, 0.0056082606, -0.02820308, 0.06973363, 0.029205032, -0.062267963, 0.015583637, 0.019638522) * go_1(1.0, -1.0); result += mat4(-0.083109334, -0.05083325, -0.05968024, -0.11155437, 0.105850436, 0.09744165, -0.03303017, -0.013044941, -0.0077590025, -0.04237108, -0.20369965, 0.031323917, 0.012978714, -0.063359976, 0.042146076, 0.019776987) * go_1(1.0, 0.0); result += mat4(0.035537377, -0.10743068, 0.133754, 0.090181574, -0.028627062, 0.028155155, 0.018499529, 0.09005287, 0.16607289, 0.15793674, -0.11622822, -0.013572966, 0.029706242, 0.017781565, -0.009353398, -0.17865635) * go_1(1.0, 1.0); result += mat4(-0.11203039, -0.038313862, 0.024553291, -0.14427736, -0.04825668, 0.042359933, -0.07456192, 0.07533933, 0.06583026, 0.028042082, 0.17915186, -0.09986524, 0.0045316215, -0.055563286, -0.01603018, 0.0072140303) * go_2(-1.0, -1.0); result += mat4(0.023269117, -0.13553037, -0.12864427, 0.05080066, 0.116199985, 0.055588637, 0.020242607, 0.028640006, -0.019016344, 0.02210024, -0.13367496, -0.042627923, 0.10561512, 0.1900557, -0.19167726, -0.13005958) * go_2(-1.0, 0.0); result += mat4(-0.009667415, 0.048991125, 0.03990137, 0.06523109, -0.0047858153, -0.054032765, -0.04514449, -0.050494507, -0.0417104, 0.100091435, 0.14701962, 0.08403896, -0.025943374, 0.022905018, -0.092077054, -0.11161656) * go_2(-1.0, 1.0); result += mat4(-0.03497298, 0.077198364, -0.13679147, 0.11873723, -0.024424871, 0.053137034, -0.032385264, -0.0141263325, -0.013927444, -0.071978, 0.13627312, 0.063701816, 0.008311752, 0.0098141, 0.05543976, -0.058797874) * go_2(0.0, -1.0); result += mat4(0.004518499, -0.07926175, -0.20172442, -0.07550185, 0.24148971, -0.098768815, 0.040357675, 0.0815576, 0.06890898, -0.013913556, 0.008509605, -0.27146277, -0.21143566, 0.14486042, 0.026823578, 0.06405004) * go_2(0.0, 0.0); result += mat4(0.07543994, -0.00025196848, -0.05954198, -0.046995167, 0.010792962, 0.06456983, 0.05764683, 0.15503259, -0.16120984, 0.0807539, -0.038956456, 0.12451675, -0.08603456, -0.1705987, -0.06136245, -0.18488552) * go_2(0.0, 1.0); result += mat4(-0.00572469, -0.023406431, -0.024342058, -0.05564663, 0.024842156, -0.07729906, 0.026645722, 0.05106307, 0.024492387, 0.0016276453, 0.06377535, -0.012904678, -0.012211929, -0.029794648, -0.048944846, -0.09197441) * go_2(1.0, -1.0); result += mat4(0.17784351, 0.33556664, -0.16068351, -0.079374805, -0.04599449, 0.11359752, -0.053493448, -0.21075985, -0.019184487, -0.06383055, -0.01185842, -0.0695056, -0.1157193, -0.22757286, -0.090421006, -0.05891914) * go_2(1.0, 0.0); result += mat4(-0.0024737257, 0.034482602, -0.006574776, -0.123885706, -0.032806616, 0.13714285, 0.03184805, 0.051896997, -0.10557891, -0.23659584, -0.11904932, 0.13204372, -0.048789233, -0.22316931, -0.11616664, -0.12002667) * go_2(1.0, 1.0); result += mat4(-0.16620998, -0.083569415, 0.0065785977, -0.028163226, 0.118216015, -0.042357974, 0.12170964, 0.049162548, -0.012655221, -0.062021617, 0.061642777, 0.026117237, 0.058876973, -0.13939914, 0.0016208607, 0.044976454) * go_3(-1.0, -1.0); result += mat4(-0.14663431, 0.03581357, 0.077214204, 0.10090841, 0.086941764, -0.11483719, 0.013683549, 0.14151746, -0.037653763, -0.049350277, 0.05558862, -0.12354268, 0.08483936, 0.025416449, -0.1325484, 0.039415598) * go_3(-1.0, 0.0); result += mat4(-0.036637645, -0.037072327, 0.06181543, 0.018595748, 0.03781546, 0.004868063, 0.051894557, -0.045784436, -0.12323018, -0.043563627, -0.061274346, 0.018986262, 0.08072628, 0.15792938, 0.06480739, 0.048926838) * go_3(-1.0, 1.0); result += mat4(-0.025308818, -0.019264646, -0.061931565, 0.00022685992, 0.08663662, -0.025102472, -0.044551793, -0.014964958, 0.10428076, 0.103535, -0.062238917, -0.00082623254, 0.1021367, 0.07957318, -0.15018936, -0.0863818) * go_3(0.0, -1.0); result += mat4(0.15889543, -0.049840968, -0.04183841, -0.083414994, -0.1916174, 0.13753025, 0.14771314, 0.33127707, 0.000934214, 0.28703767, -0.008823727, -0.08902316, 0.10487791, 0.045531362, 0.011037433, 0.055553384) * go_3(0.0, 0.0); result += mat4(-0.048647963, 0.03926244, -0.08315152, 0.06590094, -0.0009501526, 0.17133625, -0.04364588, 0.14289281, 0.044428002, -0.08102835, 0.008432385, 0.007471905, 0.0034905518, 0.08767701, 1.0289642e-06, 0.022898048) * go_3(0.0, 1.0); result += mat4(0.04429903, -0.11645563, -0.026604889, 0.07899901, -0.023821525, -0.026004031, -0.018923612, -0.053543407, -0.042527657, 0.0036584022, 0.027810149, 0.024032138, 0.10543079, -0.030619275, -0.030865723, -0.05092747) * go_3(1.0, -1.0); result += mat4(0.026915446, 0.120717816, 0.0019816516, -0.049912937, -0.0007762602, 0.022564199, 0.18567841, -0.056447282, 0.13844876, 0.13579142, 0.10044439, 0.047508094, -0.04063719, 0.17919034, 0.08064534, -0.03256138) * go_3(1.0, 0.0); result += mat4(-0.0434133, -0.06033915, -0.04983542, 0.0400338, -0.053370785, -0.05155623, 0.045170438, -0.045111567, -0.053353325, -0.12816454, -0.0677066, -0.021872709, -0.02099235, -0.016961794, 0.028701715, 0.06569918) * go_3(1.0, 1.0); result += mat4(0.06710011, 0.057980128, 0.013201372, 0.030130189, 0.06094751, 0.07235975, -0.047589682, 0.2354357, 0.14901309, 0.04262213, 0.0966923, 0.2618183, 0.005253222, 0.020696905, -0.017493509, 0.030192135) * go_4(-1.0, -1.0); result += mat4(0.054935362, 0.081852324, -0.009865248, -0.1405845, -0.06501512, -0.081201576, -0.19381413, -0.07899466, 0.1869321, -0.010295521, 0.07100554, 0.039669935, -0.0717112, 0.06757859, -0.057729263, 0.10774218) * go_4(-1.0, 0.0); result += mat4(-0.05170724, 0.028823921, -0.039832033, 0.102353394, -0.040672857, -0.071934074, -0.03207114, -0.062728606, -0.0041836924, 0.049775664, -0.015730772, 0.115351014, 0.0198361, -0.04392965, 0.06256708, -0.018467398) * go_4(-1.0, 1.0); result += mat4(-0.004088018, -0.0075854803, -0.053410996, 0.053963624, 0.038335897, -0.043097124, -0.053266585, -0.02110349, -0.100289516, 0.13708574, 0.045705263, 0.14583495, 0.049664762, -0.007881616, -0.07083171, 0.06628562) * go_4(0.0, -1.0); result += mat4(-0.096194305, 0.3136127, -0.06582547, -0.10976745, 0.0052450127, -0.06082186, 0.072152615, 0.15377738, -0.023069546, 0.024237594, -0.08700614, 0.01600506, -0.11880559, 0.05290161, 0.18157464, 0.12359404) * go_4(0.0, 0.0); result += mat4(0.05889622, 0.14444394, 5.1526327e-05, -0.016800134, 0.14292586, -0.11104289, -0.03384623, -0.0071736914, -0.027003476, -0.050374918, -0.07425175, -0.06407235, 0.030245714, -0.013432628, 0.036909264, -0.10258834) * go_4(0.0, 1.0); result += mat4(-0.050930936, -0.012308526, -0.0224252, 0.02924823, -0.014263356, -0.2264721, -0.033080157, 0.10535792, -0.0007992285, -0.07806312, -0.0446525, 0.08360969, -0.07534844, -0.08033527, 0.09658374, 0.03556867) * go_4(1.0, -1.0); result += mat4(0.036354, -0.01415224, 0.15901333, 0.03089121, -0.105297774, -0.0567874, -0.046968583, -0.02000512, 0.019031817, -0.10858096, -0.16507767, -0.14353652, -0.047385126, 0.08500263, 0.10296464, 0.12831974) * go_4(1.0, 0.0); result += mat4(0.08133631, -0.08120405, 0.12163648, -0.00789435, 0.06704583, 0.06559347, 0.056115437, 0.014905266, 0.15081121, -0.06725895, -0.06748307, 0.1599525, -0.07030421, 0.12173684, 0.103771955, 0.053344633) * go_4(1.0, 1.0); result += mat4(0.0195776, -0.0622637, 0.06881111, -0.13235638, -0.009745966, -0.20333163, -0.016195327, 0.0498002, -0.00685214, -0.10209501, -0.035590008, 0.09018023, -0.031462304, -0.0349528, -0.10600601, -0.0090544615) * go_5(-1.0, -1.0); result += mat4(0.15811858, -0.06563293, 0.016432226, -0.028199475, -0.12282523, -0.06881546, -0.092320375, -0.0031693543, -0.064210124, 0.043783337, -0.2019922, -0.13730226, -0.08938997, -0.10791797, 0.11714907, -0.022770153) * go_5(-1.0, 0.0); result += mat4(0.06281743, 0.07511937, -0.048748665, 0.04450613, -0.04570434, 0.021222433, -0.06628591, 0.073260285, 0.09201485, -0.028903183, 0.003736346, -0.08917027, -0.07610416, -0.14540285, 0.07343613, -0.06727425) * go_5(-1.0, 1.0); result += mat4(-0.15571125, -0.0640986, -0.04293689, -0.24749066, -0.11165803, 0.0051061464, 0.019376764, 0.07696208, -0.04814943, -3.504131e-05, -0.16579178, 0.1502019, -0.023707883, 0.04413888, -0.04388852, -0.009154628) * go_5(0.0, -1.0); result += mat4(-0.07220755, -0.041894138, -0.13767485, 0.026967121, 0.028019764, -0.07266683, 0.09768252, 0.051648475, 0.2144752, -0.049994867, 0.09415208, -0.12033149, -0.2286533, -0.1035957, -0.20106381, -0.05755881) * go_5(0.0, 0.0); result += mat4(0.124922104, 0.10773247, -0.09984372, 0.08305024, 0.043024022, -0.039096966, 0.09213775, 0.093309745, 0.041290306, 0.054291926, 0.023719616, 0.020621356, -0.16033965, -0.025751784, -0.026916293, -0.012173795) * go_5(0.0, 1.0); result += mat4(0.00044945415, -0.017210819, 0.053547475, -0.005321006, -0.04807709, 0.06448037, -0.048554003, 0.011876162, -0.05595753, -0.06437566, -0.042622857, 0.020113062, -0.0020804277, 0.018597316, 0.013574127, -0.043030854) * go_5(1.0, -1.0); result += mat4(0.043135546, 0.18260844, -0.09212242, 0.16260995, -0.026462799, -0.026555145, 0.13806862, -0.07638378, 0.13613388, -0.036159042, 0.21367857, 0.099882215, 0.04033422, 0.06743046, -0.04514496, 0.07347721) * go_5(1.0, 0.0); result += mat4(-0.05599136, 0.24458563, -0.055775292, 0.023797944, 0.017738774, -0.0026254307, 0.020338422, -0.05910233, -0.041537784, -0.07887153, 0.02836997, 0.029184725, -0.09466807, -0.056054644, -0.20904629, -0.06603871) * go_5(1.0, 1.0); result += mat4(-0.0809845, 0.113287315, -0.07588069, -0.07764146, 0.018005516, 0.0058764964, 0.015952185, 0.0026178441, -0.025305526, 0.016157705, -0.031857558, 0.012376404, -0.0033852167, -0.0025056018, 0.033977445, -0.035882123) * go_6(-1.0, -1.0); result += mat4(0.01720746, 0.12093419, 0.004281695, 0.015260916, -0.025000513, 0.019857937, -0.015916452, -0.14818902, 0.10654605, -0.044710767, 0.068046734, 0.0020083294, -0.06207356, -0.11559851, -0.014965024, -0.021263203) * go_6(-1.0, 0.0); result += mat4(0.10744724, -0.117611334, -0.07036045, -0.16104576, -0.03606856, -0.021588141, 0.003583071, 0.08581648, -0.027726242, 0.0065163933, -0.022813367, -0.042334005, -0.0783816, 0.04475857, -0.013612499, -0.11017741) * go_6(-1.0, 1.0); result += mat4(-0.03915705, -0.06676148, -0.017724907, -0.08243233, 0.024043124, -0.00641056, -0.046309136, 0.0028519596, -0.020301778, 0.090468615, -0.02914518, -0.01921614, 0.0066639995, 0.0115059335, -0.07672176, -0.11208497) * go_6(0.0, -1.0); result += mat4(0.08966859, -0.032337032, 0.1445986, -0.1320196, -0.07705068, 0.26452798, -0.102185756, -0.0669899, -0.17417169, 0.04188311, 0.1864277, -0.1504491, 0.22015794, -0.16350059, 0.0710934, -0.2829582) * go_6(0.0, 0.0); result += mat4(0.06390482, -0.025778925, -0.036299095, 0.038941868, 0.03774386, 0.03236249, -0.094204284, -0.02483742, 0.028479036, -0.0043308022, -0.07259228, 0.012454688, -0.042251453, 0.12513779, -0.09296203, 0.11374747) * go_6(0.0, 1.0); result += mat4(0.047953177, -0.13953067, -0.16459087, 0.07894725, -0.056713596, 0.021099769, 0.03746491, -0.039627306, 0.013983546, -0.012757725, -0.029330993, 0.06562089, -0.04810442, 0.099750385, -0.0027220398, -0.03113898) * go_6(1.0, -1.0); result += mat4(-0.18453379, -0.19663307, -0.069053225, -0.0886819, -0.0801514, 0.030041967, 0.052098416, 0.14237365, -0.122975424, -0.020104067, 0.03250069, -0.012830738, 0.015021435, 0.17618941, -0.17539805, -0.11354229) * go_6(1.0, 0.0); result += mat4(0.039481774, -0.03845886, -0.024213333, -0.013388697, 0.021345852, -0.081355266, 0.060501907, 0.020541774, 0.0050397296, 0.01937342, 0.124778345, -0.02009733, -0.03618026, 0.18081245, -0.059872225, 0.0480807) * go_6(1.0, 1.0); result += mat4(0.06564816, -0.033822373, -0.0733927, -0.03701997, 0.109872006, 0.0289091, -0.05753885, 0.07605533, 0.01233494, 0.105628036, -0.05230974, 0.020886896, -0.012355101, 0.09088149, -0.077560514, 0.0067109973) * go_7(-1.0, -1.0); result += mat4(-0.1322054, -0.013291897, -0.03752736, -0.1729646, -0.07199937, 0.044647448, -0.05308083, -0.17281532, -0.22998895, 0.08423837, 0.096846774, -0.03199861, 0.16217668, -0.038777575, 0.11706502, 0.003698661) * go_7(-1.0, 0.0); result += mat4(-0.04857856, -0.033291973, 0.042390086, 0.07810751, -0.033537693, -0.044030026, -0.039593477, 0.04621247, -0.17857364, -0.09121616, 0.051663235, 0.11376567, 0.026875451, -0.020726817, -0.07497909, 0.04745875) * go_7(-1.0, 1.0); result += mat4(-0.04273227, -0.06567099, 0.068244755, 0.004056219, 0.071459755, 0.06104156, -0.040738944, 0.026269622, -0.0829272, -0.213161, 0.12350121, -0.12019999, -0.0047574732, -0.07947193, 0.11080581, 0.06579881) * go_7(0.0, -1.0); result += mat4(-0.0059235813, 0.3313213, 0.11250806, 0.10323526, 0.10955034, -0.16566339, -0.19147675, -0.030210944, 0.04117325, -0.0210125, 0.17611006, 0.08003979, 0.049902663, -0.07172505, -0.122315325, 0.010667146) * go_7(0.0, 0.0); result += mat4(0.054875605, -0.0037542211, 0.063533604, -0.06934719, -0.03633734, -0.035200633, 0.13640474, -0.0012530384, 0.11430386, -0.19378312, 0.09804568, 0.013388336, -0.05530006, -0.04414178, -0.19488367, -0.0756056) * go_7(0.0, 1.0); result += mat4(-0.020816237, 0.06688388, -0.037516814, -0.12198087, -0.015191337, 0.027221302, -0.06470536, -0.02152179, -0.017627591, -0.1226421, -0.032714654, -0.05618612, 0.05928148, 0.0800804, 0.048406508, 0.00018751089) * go_7(1.0, -1.0); result += mat4(-0.048010882, -0.09108586, 0.15244915, 0.013734108, 0.06698592, 0.12715879, -0.06800172, -0.08406023, -0.0060334927, -0.18118794, 0.028690156, -0.041895367, -0.09738513, -0.091504306, 0.005916668, 0.041399106) * go_7(1.0, 0.0); result += mat4(0.03526128, -0.0710679, 0.026936322, 0.016473033, 0.050931316, 0.07237934, 0.052602474, 0.036545273, -0.044300303, -0.007841123, 0.12865187, 0.13500206, 0.10369719, 0.017725354, -0.046136603, 0.11124073) * go_7(1.0, 1.0); result += vec4(0.02762366, 0.015666952, 0.009978591, -0.020644614); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x64 //!HOOK MAIN //!BIND conv2d_6_tf //!BIND conv2d_6_tf1 //!BIND conv2d_6_tf2 //!BIND conv2d_6_tf3 //!BIND conv2d_8_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!SAVE conv2d_9_tf //!WIDTH conv2d_6_tf.w //!HEIGHT conv2d_6_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_6_tf_tex(conv2d_6_tf_pos)), 0.0)) #define g_1 (max((conv2d_6_tf1_tex(conv2d_6_tf1_pos)), 0.0)) #define g_2 (max((conv2d_6_tf2_tex(conv2d_6_tf2_pos)), 0.0)) #define g_3 (max((conv2d_6_tf3_tex(conv2d_6_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_6_tf_tex(conv2d_6_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_6_tf1_tex(conv2d_6_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_6_tf2_tex(conv2d_6_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_6_tf3_tex(conv2d_6_tf3_pos)), 0.0)) #define g_8 (max((conv2d_8_tf_tex(conv2d_8_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_8_tf_tex(conv2d_8_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.09864263, 0.16643536, -0.10098628, -0.27088618, 0.2439447, -0.15055421, -0.16554014, 0.15346923, 0.22877191, 0.36627764, 0.0009881472, -0.29182792, -0.1399589, 0.20674823, -0.1336018, -0.23139776) * g_0; result += mat4(0.30116054, -0.14907749, -0.057519797, -0.115984246, -0.010677967, 0.24336332, 0.18829945, -0.009448468, -0.20248725, 0.1898866, 0.10740923, 0.070664346, 0.19182079, 0.19262572, -0.10405306, -0.14409591) * g_1; result += mat4(0.02424672, 0.18151794, -0.3288155, 0.09967775, 0.08982069, -0.33101448, -0.13098675, 0.001805271, 0.093248144, 0.0062144175, -0.27785897, 0.15994431, 0.07629904, 0.11391333, -0.09452774, 0.028830891) * g_2; result += mat4(-0.12576537, 0.124780804, -0.005383383, 0.010800503, 0.074371964, -0.15757772, -0.012425731, 0.26471737, -0.12934509, 0.18494883, -0.019696942, 0.39016318, 0.108690634, -0.12907083, 0.23849326, 0.2127003) * g_3; result += mat4(0.06064956, 0.13181925, -0.06518252, 0.09022306, 0.10722941, -0.029313153, 0.05462699, -0.12941502, -0.32090643, -0.2399227, -0.0010322831, 0.2706631, -0.018146884, -0.25801313, 0.2318069, 0.114894636) * g_4; result += mat4(-0.12751573, -0.13918388, 0.20377824, -0.033067297, -0.0028459544, -0.17263114, 0.07472814, -0.08497229, -0.19693358, -0.23583023, -0.23746331, -0.1620524, 0.12260008, 0.20666504, 0.018275812, 0.05227883) * g_5; result += mat4(0.017006887, -0.079197586, -0.1751486, -0.24029018, 0.17393425, 0.19827369, 0.14355439, 0.07403027, 0.26099652, 0.34026688, -0.07905064, 0.1136539, -0.033830065, 0.0038907684, -0.25529358, -0.3126053) * g_6; result += mat4(-0.18364787, 0.06289015, 0.30731493, 0.2604622, 0.14766745, -0.19659941, -0.24400567, -0.13139778, -0.20132752, -0.31973583, -0.04709369, 0.2157305, -0.05968398, 0.41553238, -0.26575878, 0.12818466) * g_7; result += mat4(0.1777632, 0.30519867, 0.04919452, -0.050079886, -0.09780533, 0.071669996, -0.30823946, -0.05612444, 0.13824712, -0.17230682, 0.1516716, -0.42944372, 0.26453936, -0.3669238, -0.2791366, -0.158038) * g_8; result += mat4(-0.16834885, -0.36678392, -0.116782546, -0.12371954, 0.030408079, 0.030037245, -0.118157424, 0.21994841, -0.06582355, 0.35889858, -0.08357428, 0.33521906, 0.0730811, 0.12300713, 0.08012372, 0.13627763) * g_9; result += mat4(0.3792248, 0.2113681, -0.057442214, 0.056784596, -0.07914339, 0.2952479, 0.0039747343, -0.010485219, -0.21411481, -0.26210615, 0.14048009, -0.09856881, 0.17023402, -0.059730083, 0.019566841, -0.016332023) * g_10; result += mat4(-0.61801714, -0.31580862, 0.024079382, -0.26253095, 0.15262255, -0.05209289, -0.058584727, -0.17753975, 0.09153676, 0.018372437, -0.08778411, 0.15213694, 0.23527849, 0.0651243, 0.082912475, -0.12144174) * g_11; result += mat4(-0.10203859, -0.2157538, 0.09766386, 0.255458, 0.14621232, 0.15972705, 0.037336424, 0.29910806, -0.23335846, -0.27241442, 0.056837723, -0.15916888, 0.14921062, 0.018489221, 0.29236946, -0.21704453) * g_12; result += mat4(-0.20196709, 0.03039717, -0.016681867, 0.09106574, 0.016594073, -0.11138761, -0.39326677, -0.12731183, 0.017273927, 0.20023176, 0.40969402, -0.09844807, -0.21699667, -0.08527532, 0.03868599, 0.08391285) * g_13; result += mat4(0.04918593, -0.28722, 0.13262631, 0.19763342, 0.07408771, 0.20518765, -0.08351114, 0.023192497, 0.08808452, -0.024055472, 0.2863115, 0.028993187, 0.18309475, 0.14929788, 0.41230813, -0.14815095) * g_14; result += mat4(-0.068900704, -0.085048415, -0.3247905, -0.04743062, -0.09697462, 0.015716264, 0.016111441, -0.020915799, 0.0722674, 0.23050514, -0.038081765, 0.23436533, 0.0045003896, -0.25709474, -0.11242606, -0.2509955) * g_15; result += vec4(0.016932571, 0.01285098, 0.065885656, -0.045639206); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x64 //!HOOK MAIN //!BIND conv2d_6_tf //!BIND conv2d_6_tf1 //!BIND conv2d_6_tf2 //!BIND conv2d_6_tf3 //!BIND conv2d_8_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!SAVE conv2d_9_tf1 //!WIDTH conv2d_6_tf.w //!HEIGHT conv2d_6_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_6_tf_tex(conv2d_6_tf_pos)), 0.0)) #define g_1 (max((conv2d_6_tf1_tex(conv2d_6_tf1_pos)), 0.0)) #define g_2 (max((conv2d_6_tf2_tex(conv2d_6_tf2_pos)), 0.0)) #define g_3 (max((conv2d_6_tf3_tex(conv2d_6_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_6_tf_tex(conv2d_6_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_6_tf1_tex(conv2d_6_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_6_tf2_tex(conv2d_6_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_6_tf3_tex(conv2d_6_tf3_pos)), 0.0)) #define g_8 (max((conv2d_8_tf_tex(conv2d_8_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_8_tf_tex(conv2d_8_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.003937308, 0.3325553, -0.051680394, -0.016791617, -0.22406012, -0.1772422, -0.40026435, 0.061494246, -0.052263122, 0.050062478, 0.12657858, 0.25956464, -0.25395867, -0.14557794, 0.065642186, -0.0036497142) * g_0; result += mat4(0.14910382, -0.1219233, -0.08730868, 0.12936969, -0.38082328, -0.04098752, -0.21931636, 0.22471759, -0.22303404, 0.005031252, 0.29523098, -0.06785384, -0.29611492, -0.13362305, -0.28399295, -0.015605514) * g_1; result += mat4(-0.092055865, 0.23942079, -0.15355012, -0.2754471, 0.3476136, -0.17973644, 0.20373236, 0.47628164, 0.18442081, 0.2272365, 0.39171374, -0.2109089, -0.081467606, -0.19725452, 0.015637135, -0.07057403) * g_2; result += mat4(0.10774966, 0.123727456, -0.12286534, 0.16600358, 0.1364775, -0.21570408, 0.074118935, -0.045826353, -0.035832357, -0.28274775, 0.052669924, 0.07969379, 0.17066151, 0.14648491, -0.06644816, -0.14589809) * g_3; result += mat4(-0.119286284, -0.09573102, 0.090612456, 0.04023182, 0.09588572, 0.177818, 0.23690048, -0.058244612, -0.016383434, 0.2576226, 0.25695682, -0.014298511, -0.024256507, 0.30848315, -0.041158218, -0.03914358) * g_4; result += mat4(-0.29271403, 0.059981633, 0.0021134338, -0.19035797, -0.0037269308, 0.10220867, 0.07883107, -0.13369656, 0.026632074, 0.37791765, 0.13582648, -0.09352286, -0.082421385, -0.15049607, -0.29702196, -0.024250919) * g_5; result += mat4(0.06582016, -0.16060877, 0.103828825, 0.06621281, 0.18454358, -0.15770862, 0.0062189074, -0.29478952, -0.38229987, -0.008481092, 0.0146497395, -0.012977512, -0.086033165, 0.24041377, 0.15929726, 0.1291446) * g_6; result += mat4(-0.26255193, -0.17674851, 0.016529905, -0.29671943, -0.11499627, 0.057172883, 0.024476945, 0.20377044, -0.246527, -0.2740495, 0.27754322, 0.0035727941, -0.08662866, -0.26152274, -0.1885568, -0.12391516) * g_7; result += mat4(0.012594749, 0.09329428, -0.024767002, 0.09388145, 0.053089734, 0.06234544, 0.2099255, 0.46252325, 0.123893864, 0.082300425, -0.07509414, 0.15968856, -0.34341866, -0.13525012, 0.15489148, 0.35870647) * g_8; result += mat4(0.15168503, 0.30187908, 0.015656032, 0.013370691, -0.06671537, 0.11837605, -0.08213855, -0.15433209, -0.17091727, -0.0625883, 0.008888305, 0.039089687, 0.15172026, -0.0836314, -0.13341047, -0.029075664) * g_9; result += mat4(-0.07207691, -0.36168703, 0.022065176, 0.06053417, 0.10515104, -0.15767829, 0.19980878, 0.17313905, 0.016179686, 0.18054177, 0.19189085, -0.14294004, 0.22004858, -0.28201142, 0.2872886, -0.20112494) * g_10; result += mat4(0.34156498, 0.1817744, 0.13134623, 0.05987189, 0.037724342, -0.090201005, 0.10240794, 0.22642598, -0.5217192, -0.033472296, -0.14296426, -0.094750494, -0.03383312, 0.30726826, 0.049418118, 0.10151059) * g_11; result += mat4(0.032571465, 0.048514433, -0.10347128, -0.1084494, -0.036202013, -0.008492653, -0.11478463, -0.14242981, -0.16216394, 0.22039019, 0.17737237, -0.1416988, -0.099641696, 0.09431141, -0.17891696, 0.15241605) * g_12; result += mat4(-0.22881852, 0.040407304, -0.08619452, 0.08407503, 0.027044954, 0.121950984, 0.17166145, -0.056074105, 0.20592104, 0.05306128, -0.249151, -0.15258761, -0.028193245, -0.033121727, 0.009724152, -0.060050894) * g_13; result += mat4(0.055882175, -0.19219743, -0.08486314, 0.25344363, -0.15363735, -0.16262405, -0.16883601, -0.360693, -0.02007423, -0.18265313, -0.13402134, 0.012125967, -0.15832315, 0.35946545, 0.057530846, -0.20121863) * g_14; result += mat4(-0.026532218, 0.0999541, -0.18022218, 0.040167805, -0.07300608, 0.23191977, -0.13492207, -0.21953888, -0.006438377, -0.11377467, 0.29050368, 0.08367901, -0.1185086, -0.19436763, 0.19460331, -0.12790322) * g_15; result += vec4(0.0048366417, -0.01623872, 0.0149186235, -0.0021957709); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x64 //!HOOK MAIN //!BIND conv2d_6_tf //!BIND conv2d_6_tf1 //!BIND conv2d_6_tf2 //!BIND conv2d_6_tf3 //!BIND conv2d_8_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!SAVE conv2d_9_tf2 //!WIDTH conv2d_6_tf.w //!HEIGHT conv2d_6_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_6_tf_tex(conv2d_6_tf_pos)), 0.0)) #define g_1 (max((conv2d_6_tf1_tex(conv2d_6_tf1_pos)), 0.0)) #define g_2 (max((conv2d_6_tf2_tex(conv2d_6_tf2_pos)), 0.0)) #define g_3 (max((conv2d_6_tf3_tex(conv2d_6_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_6_tf_tex(conv2d_6_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_6_tf1_tex(conv2d_6_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_6_tf2_tex(conv2d_6_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_6_tf3_tex(conv2d_6_tf3_pos)), 0.0)) #define g_8 (max((conv2d_8_tf_tex(conv2d_8_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_8_tf_tex(conv2d_8_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.104137026, 0.102377966, 0.29650456, 0.16560245, -0.049722087, -0.022562431, 0.1480423, 0.22173022, -0.15099648, 0.25188634, 0.29793224, -0.25045073, -0.166794, 0.17724776, -0.13309427, -0.14215149) * g_0; result += mat4(0.0111736925, -0.20109345, -0.004992949, -0.16356087, -0.03629021, -0.17836154, -0.020239769, -0.0027136574, -0.057733543, 0.1929391, -0.25687936, 0.032994594, 0.28941298, -0.24378207, 0.0058246693, -0.04602329) * g_1; result += mat4(0.058517553, -0.00855018, -0.10235121, 0.031646684, -0.3329856, 0.28455597, 0.09738041, -0.38193113, -0.11249739, -0.01848674, 0.2163143, -0.06349695, 0.20303167, -0.033269245, -0.2735205, -0.15447442) * g_2; result += mat4(0.080081046, 0.07366588, -0.09329567, 0.18479577, -0.118616, 0.09503109, -0.26074445, 0.35643557, 0.30263063, 0.22413187, 0.09882829, 0.12301443, -0.006198813, 0.19721447, 0.10678005, -0.1651503) * g_3; result += mat4(-0.06906497, -0.3009552, 0.07767211, 0.05151866, 0.11417627, 0.23357406, -0.048603542, -0.049274545, -0.06154897, -0.12599663, 0.07611352, 0.00786339, 0.14635855, -0.26319003, -0.06853761, 0.088817514) * g_4; result += mat4(0.11830914, -0.10345762, -0.09292891, -0.0074040242, 0.0073001185, -0.15325016, -0.011847827, 0.23296888, 0.06515359, -0.06067429, -0.090339884, 0.13176519, 0.23185344, 0.071258485, -0.06901788, -0.0903061) * g_5; result += mat4(0.17608684, 0.1722441, -0.00018389517, 0.026899414, 0.11040594, 0.053332347, 0.074438855, 0.0608023, -0.089713804, -0.10031175, -0.09828107, 0.2759653, 0.040628787, -0.014327023, -0.18901895, -0.19466661) * g_6; result += mat4(-0.077983975, 0.116868906, -0.23626202, 0.24141665, 0.18514152, 0.12009115, 0.024183134, -0.19578324, -0.2004096, 0.16053474, -0.12452011, -0.24160402, 0.044126388, -0.08934569, 0.26577887, 0.09816567) * g_7; result += mat4(0.10499274, 0.2265129, -0.078521736, 0.29265165, 0.0041190055, 0.36288932, -0.103490636, 0.05727936, -0.089100264, 0.04249254, 0.30703348, -0.024190163, 0.026818752, 0.21627031, 0.1413635, 0.5749679) * g_8; result += mat4(-0.11887336, 0.27841938, 0.18154635, -0.30292216, -0.14453453, -0.32330868, -0.06806779, -0.13335946, 0.12325082, -0.2776033, -0.2176617, -0.14796872, 0.14378121, -0.1515707, -0.19313759, -0.03666135) * g_9; result += mat4(-0.16793656, 0.14827895, 0.31085837, 0.039777525, 0.049468413, -0.19864005, -0.11719598, 0.16815868, -0.02205864, -0.20461129, -0.15883179, 0.026992796, -0.2750394, 0.20748213, 0.24951674, -0.06626439) * g_10; result += mat4(-0.22174093, -0.20898962, -0.03558482, 0.23259541, 0.12385461, 0.11644065, 0.13360718, -0.298495, 0.05759325, -0.06470147, -0.1467882, -0.1233936, 0.124703325, -0.004894744, -0.44175613, 0.30384606) * g_11; result += mat4(-0.22360735, 0.13903587, 0.123154536, 0.22120447, 0.07635435, -0.08578538, -0.0070886854, -0.16854721, 0.2935059, 0.014837484, 0.011378183, 0.11189771, 0.15975478, 0.1525562, 0.17962816, -0.30664667) * g_12; result += mat4(-0.13563982, -0.11331227, -0.35234228, 0.17117529, 0.09372269, -0.018378476, -0.060744487, 0.066920675, -0.12684692, -0.15846166, 0.040910132, 0.15608624, -0.0839549, 0.06397846, -0.11739037, -0.24138166) * g_13; result += mat4(-0.3350538, -0.24931656, -0.13913944, -0.078073435, 0.12782471, -0.033278856, 0.22328287, -0.0494411, -0.16591735, -0.03392308, 0.1588464, -0.19808592, 0.19063896, -0.16003527, 0.21511821, 0.10613058) * g_14; result += mat4(-0.060294464, -0.09252907, -0.01603874, -0.07597569, 0.03133959, 0.072272286, -0.13213353, 0.15609686, 0.2167412, 0.06884895, -0.2590782, 0.33470517, 0.003332907, 0.03748415, -0.25728425, -0.30776468) * g_15; result += vec4(0.0085292775, -0.0498912, 0.02406236, 0.013927507); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x64 //!HOOK MAIN //!BIND conv2d_6_tf //!BIND conv2d_6_tf1 //!BIND conv2d_6_tf2 //!BIND conv2d_6_tf3 //!BIND conv2d_8_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!SAVE conv2d_9_tf3 //!WIDTH conv2d_6_tf.w //!HEIGHT conv2d_6_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_6_tf_tex(conv2d_6_tf_pos)), 0.0)) #define g_1 (max((conv2d_6_tf1_tex(conv2d_6_tf1_pos)), 0.0)) #define g_2 (max((conv2d_6_tf2_tex(conv2d_6_tf2_pos)), 0.0)) #define g_3 (max((conv2d_6_tf3_tex(conv2d_6_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_6_tf_tex(conv2d_6_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_6_tf1_tex(conv2d_6_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_6_tf2_tex(conv2d_6_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_6_tf3_tex(conv2d_6_tf3_pos)), 0.0)) #define g_8 (max((conv2d_8_tf_tex(conv2d_8_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_8_tf_tex(conv2d_8_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.18489622, 0.01521825, -0.053398065, 0.077619, -0.08345202, 0.20407347, -0.11390942, 0.08462241, -0.1705865, 0.30955344, -0.08472498, -0.16442084, -0.22677645, 0.048857957, -0.057290807, -0.40370303) * g_0; result += mat4(-0.04026143, -0.020023338, -0.022386922, -0.1292272, 0.17330426, 0.13575786, 0.16291218, -0.14266899, -0.23032628, 0.11625899, 0.0062630204, -0.0012355708, 0.15870166, -0.035987332, 0.0871242, 0.085054055) * g_1; result += mat4(0.016969275, 0.054262232, -0.23052263, -0.19101018, 0.03396106, 0.0054336865, -0.0467761, 0.19085331, -0.106530495, -0.27656856, 0.015368871, 0.13383915, -0.08088739, -0.15458798, 0.01770847, 0.26224154) * g_2; result += mat4(-0.1710468, -0.010396238, -0.008604742, -0.27136776, -0.08490557, 0.016414553, -0.27219942, -0.2275841, -0.0020410966, -0.074557334, 0.32281566, -0.0358406, -0.07795256, 0.11081372, -0.34438163, 0.15058495) * g_3; result += mat4(-0.13303854, -0.054123223, -0.034091465, -0.08479921, -0.3663492, 0.047407333, -0.08467303, -0.015536085, 0.07641996, -0.08629571, -0.026073072, 0.05748389, 0.39037332, 0.017548965, 0.105086334, -0.08005681) * g_4; result += mat4(0.08531782, -0.06040872, -0.25501314, -0.15468454, -0.18607718, -0.045276865, -0.08727564, 0.101659656, -0.14160259, -0.011791499, -0.14346547, 0.16301742, -0.054622017, -0.028709898, -0.05332203, -0.23680754) * g_5; result += mat4(0.18716991, 0.12908773, -0.3459139, -0.054999888, -0.1764484, 0.04881557, 0.096896894, -0.011711037, 0.093170814, 0.1973141, -0.028869364, -0.052994333, -0.050567757, -0.052473217, -0.20334762, -0.29321235) * g_6; result += mat4(0.16290617, 0.070835315, -0.13578944, 0.049878098, 0.024889912, 0.0046419716, 0.17256121, 0.24758084, 0.33473715, -0.05304426, -0.031384464, 0.30393425, 0.06880461, 0.018678263, 0.40095538, -0.32181707) * g_7; result += mat4(-0.12459963, 0.0924927, 0.17442048, -0.015650576, -0.05587131, 0.21291989, 0.31195658, 0.07287886, 0.1531054, 0.022245308, 0.09070423, -0.090930104, 0.036900636, -0.062797755, -0.015801767, -0.06667231) * g_8; result += mat4(-0.22362942, 0.30185577, -0.0560174, -0.17768693, 0.14361233, -0.36686167, -0.108977124, -0.06692557, 0.046176855, 0.06899551, 0.19507368, 0.18504564, 0.2892618, 0.108308315, -0.32998815, 0.15013184) * g_9; result += mat4(-0.06166722, 0.03421678, 0.007097079, -0.06511754, -0.07503845, -0.097745866, 0.0767785, 0.12762466, 0.078295015, 0.15278883, -0.20041291, -0.15149453, 0.1359745, -0.055542946, -0.1351582, 0.04746136) * g_10; result += mat4(0.2754691, -0.045461576, 0.28655398, 0.066658214, 0.10664401, 0.019698175, 0.21868771, 0.010793508, -0.37068173, -0.22633933, 0.05709351, -0.015515003, -0.25028723, 0.07527501, -0.060320277, 0.11013715) * g_11; result += mat4(0.16451468, -0.048677545, -0.21968195, -0.024521982, 0.06710036, -0.00431936, -0.040931974, 0.14162326, 0.30826005, -0.19923253, 0.06730949, 0.33769038, -0.17198718, 0.060878154, -0.2895043, -0.029802436) * g_12; result += mat4(-0.10908404, -0.18938556, 0.11546769, 0.11317103, -0.096525446, -0.1143871, 0.095474064, -0.12509643, -0.20624343, -0.23595047, -0.11051539, 0.1230616, -0.047473382, -0.11819063, -0.1330644, -0.09428916) * g_13; result += mat4(0.099916406, -0.19375911, -0.08102031, 0.1239838, 0.27221766, 0.20148776, 0.19851638, 0.08333579, 0.086547665, -0.18228337, 0.022614995, -0.1385529, 0.35897738, 0.20353337, -0.051304217, 0.09238109) * g_14; result += mat4(-0.17090152, 0.34364688, 0.25943616, 0.04933595, -0.022766197, 0.33663043, 0.09173691, -0.040311158, -0.20550281, 0.17361137, -0.13678429, 0.07744437, -0.42078802, -0.2707222, 0.21051168, 0.2207691) * g_15; result += vec4(-0.00853374, 0.014111409, -0.018602863, 0.025112765); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_9_tf //!BIND conv2d_9_tf1 //!BIND conv2d_9_tf2 //!BIND conv2d_9_tf3 //!SAVE conv2d_11_tf //!WIDTH conv2d_9_tf.w //!HEIGHT conv2d_9_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_9_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_9_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_9_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_9_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_9_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_9_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_9_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_9_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.2167346, 0.08259927, 0.01593457, -0.06168633, 0.028108353, -0.016532995, 0.008972924, 0.011045642, -0.28601897, 0.25977787, 0.057599183, -0.011715917, 0.042454317, 0.08984024, -0.09684031, 0.12903662) * go_0(-1.0, -1.0); result += mat4(-0.07467005, -0.0044173184, 0.042089712, -0.096472785, -0.090920694, 0.14287423, -0.1197274, 0.15093653, -0.17902398, 0.2337814, -0.2301511, -0.26088297, -0.16935518, 0.07310083, -0.0051561873, 0.2587852) * go_0(-1.0, 0.0); result += mat4(-0.015114397, -0.0615879, 0.061449658, -0.08588831, 0.06878012, -0.066395596, -0.120973326, 0.1751009, 0.13974409, 0.07330856, 0.015523489, -0.119367056, -0.12705635, 0.08617225, -0.08821478, 0.042958662) * go_0(-1.0, 1.0); result += mat4(-0.015199017, 0.031381227, 0.0780515, 0.069131814, -0.12783948, 0.030788802, -0.030043626, 0.016303174, -0.27775663, 0.16235924, 0.008142429, 0.04124429, 0.10874539, -0.022458551, -0.008865443, 0.09369907) * go_0(0.0, -1.0); result += mat4(-0.01634807, -0.008341841, 0.06457744, -0.08560355, -0.24626143, 0.011861395, 0.020570388, 0.062295143, 0.34602648, -0.17742984, -0.02403783, 0.16412638, 0.10932493, -0.0042189476, 0.040966537, 0.058982532) * go_0(0.0, 0.0); result += mat4(-0.043838717, -0.056111507, -0.016028062, -0.059582476, 0.12887439, -0.033336997, -0.26650676, 0.0662371, -0.053933796, -0.032257825, 0.16265263, 0.023418164, -0.08054197, 0.30419502, -0.19452181, 0.010710408) * go_0(0.0, 1.0); result += mat4(0.01280635, 0.10079952, -0.033026945, 0.08498357, -0.04817073, -0.13418624, 0.09589368, -0.022635134, -0.06345144, -0.05724931, -0.14657016, -0.0786738, 0.05080321, 0.041433394, 0.01910969, 0.19891381) * go_0(1.0, -1.0); result += mat4(0.10898035, -0.14818819, -0.08342, 0.106918834, -0.19069608, -0.023136294, -0.018794658, -0.03204733, -0.039217297, 0.07554547, -0.037759304, -0.044361852, 0.019575626, 0.09581649, -0.005387532, 0.08929196) * go_0(1.0, 0.0); result += mat4(0.17248777, 0.08927015, 0.12626562, 0.069963455, 0.027248785, -0.10808538, 0.0022578489, -0.10984469, -0.015384902, 0.12769361, 0.06637168, 0.058609772, 0.013054495, 0.13254511, 0.076141186, 0.09916911) * go_0(1.0, 1.0); result += mat4(-0.124390416, 0.10685674, -0.10966216, -0.08369025, -0.0651576, -0.1300008, -0.027007537, 0.13056019, 0.115544505, -0.07873411, -0.083743975, 0.05898996, 0.22908325, -0.053363908, -0.01612341, -0.15103827) * go_1(-1.0, -1.0); result += mat4(-0.020670712, -0.2649095, -0.030632991, -0.04527719, 0.46974248, 0.043867197, -0.15608059, 0.20002516, -0.16267627, 0.0990293, -0.064487904, 0.19699238, -0.04589485, -0.038980853, 0.10857598, -0.0039152764) * go_1(-1.0, 0.0); result += mat4(-0.2282477, -0.00044616987, 0.166831, 0.03326744, 0.15271889, -0.025690703, -0.29518652, 0.032539356, -0.06354523, -0.031361856, 0.053646125, 0.00018960344, -0.030466253, 0.15894201, -0.12748806, -0.11215912) * go_1(-1.0, 1.0); result += mat4(0.11262574, 0.13243207, 0.050107982, -0.097106785, -0.12724099, 0.022966115, 0.033192, -0.08005735, -0.069815435, -0.06228412, 0.017130738, -0.08344178, -0.11615836, -0.11328931, 0.22229461, -0.066494435) * go_1(0.0, -1.0); result += mat4(-0.047039963, 0.009185746, -0.10476018, 0.078825586, -0.045319136, 0.011463228, -0.02181092, -0.0020480661, 0.0045678956, -0.016130341, -0.14006588, 0.05225688, -0.12515195, 0.18153296, -0.05256603, -0.11048086) * go_1(0.0, 0.0); result += mat4(0.18182711, -0.14322367, 0.15531246, 0.09205347, 0.25048062, 0.0677125, -0.08411049, 0.036185652, 0.19853042, 0.04891688, 0.07559669, -0.054106154, 0.01919658, 0.22520682, 0.15135488, -0.038460355) * go_1(0.0, 1.0); result += mat4(-0.050445374, -0.14471428, -0.23796226, -0.15576342, -0.028298652, 0.09235079, -0.06269788, -0.19188045, -0.053789496, 0.11350222, 0.04766122, 0.10510269, 0.0038152386, 0.09062761, 0.1011998, 0.040780947) * go_1(1.0, -1.0); result += mat4(0.019419372, 0.03997944, 0.119759075, 0.04283821, -0.051738333, 0.08721772, -0.077736385, -0.05724854, -0.08099945, 0.17420025, 0.073216155, -0.05489914, 0.09093694, -0.08793478, 0.013140325, -0.0043218792) * go_1(1.0, 0.0); result += mat4(0.037703384, -0.02789724, 0.013243169, 0.17291826, 0.0074070534, 0.114018075, -0.104694985, -0.0530431, 0.10854754, -0.21815501, -0.091733016, 0.05429939, 0.008154856, 0.017797785, -0.04539086, -0.022114938) * go_1(1.0, 1.0); result += mat4(0.08511963, -0.044427045, 0.13799068, -0.0029811792, -0.15045413, -0.09981538, 0.042939857, 0.1374501, -0.029713511, -0.13069215, 0.11228989, -0.11295705, -0.14637329, -0.09949667, 0.071820505, -0.12730566) * go_2(-1.0, -1.0); result += mat4(0.08256388, -0.01721364, -0.14035071, 0.029640568, 0.10975381, 0.020408878, -0.048385482, -0.054182887, 0.07115744, -0.00768504, 0.062499907, 0.11246996, 0.15368488, 0.016138898, -0.07301467, -0.08368065) * go_2(-1.0, 0.0); result += mat4(-0.061671108, 0.036220826, -0.051254276, 0.069273986, 0.15657571, 0.014273202, -0.13077787, 0.0056451196, -0.14062496, 0.03103866, 0.04512255, -0.010760401, 0.008121844, 0.011501802, -0.06567986, 0.017685082) * go_2(-1.0, 1.0); result += mat4(-0.113867186, -0.12749363, -0.08943638, 0.13412562, -0.071981415, 0.022248283, -0.06953866, -0.08428237, 0.03129861, -0.06123529, -0.092742726, 0.020794291, 0.096983775, -0.02983442, -0.015079871, -0.081479155) * go_2(0.0, -1.0); result += mat4(0.04013621, 0.084514834, -0.13812582, -0.12510088, 0.14553706, 0.10702256, -0.08045372, 0.08607196, -0.16143145, -0.007886448, 0.01781611, -0.003077175, -0.11296926, 0.1734043, -0.13854994, 0.13680972) * go_2(0.0, 0.0); result += mat4(0.050505515, -0.17902215, -0.04802798, -0.14421499, -0.030427728, 0.03368048, -0.110685, 0.09567036, 0.03252777, 0.09485837, 0.06954893, 0.023373473, 0.07177965, 0.04810273, 0.08434124, 0.116279624) * go_2(0.0, 1.0); result += mat4(0.0005544921, -0.051555045, -0.06470852, -0.0531636, 0.057035804, -0.03869994, -0.027945146, 0.07932229, -0.0063175303, -0.05515467, -0.08356414, -0.11859253, 0.12668021, -0.051041365, -0.012815135, 0.007949852) * go_2(1.0, -1.0); result += mat4(-0.06800659, -0.0071774335, -0.08469053, 0.03886348, 0.025524322, -0.1410413, -0.043023676, 0.029417936, -0.07544589, 0.09294302, -0.08465406, -0.096837744, 0.08364276, 0.024115281, 0.271438, -0.058223505) * go_2(1.0, 0.0); result += mat4(-0.109101065, -0.17002128, -0.24179345, -0.017228592, 0.10659014, 0.015143326, -0.12937164, -0.0338922, -0.036312755, 0.14563227, 0.009092129, 0.018083349, -0.05089822, -0.06514431, -0.03596386, 0.015814291) * go_2(1.0, 1.0); result += mat4(-0.08573881, 0.03633208, -0.21500291, 0.15564376, 0.0030492172, -0.021795621, -0.09432696, 0.10721101, 0.2153867, 0.13202792, -0.12423073, 0.005352684, 0.037872642, -0.10474273, 0.013933625, -0.0068198596) * go_3(-1.0, -1.0); result += mat4(-0.185121, 0.06808207, -0.1228317, 0.06725058, 0.09664016, 0.07007545, -0.027438058, -0.14229484, -0.0033542877, -0.24367031, 0.12804145, -0.19115108, -0.14038874, 0.09379996, 0.04307599, -0.20208067) * go_3(-1.0, 0.0); result += mat4(-0.27465674, 0.06494048, -0.10362797, 0.0827255, 0.069154, -0.065038726, -0.06611099, 0.22829211, -0.112552926, -0.07423944, 0.011163635, -0.04373235, 0.030065138, -0.03776159, -0.013699219, 0.005617585) * go_3(-1.0, 1.0); result += mat4(-0.14471242, 0.09473557, -0.008799688, 0.297687, -0.170291, -0.097003534, -0.13033749, -0.086734496, 0.1607779, -0.040937416, 0.07660159, -0.0802484, 0.15036124, -0.040300827, 0.13356747, 0.18778445) * go_3(0.0, -1.0); result += mat4(-0.0062669497, -0.047926545, -0.02322052, 0.11640132, -0.027486369, 0.084390946, -0.12318683, 0.088127784, 0.034363724, 0.09600964, -0.08777073, -0.03262654, 0.09757491, -0.17299609, -0.10113106, -0.07975111) * go_3(0.0, 0.0); result += mat4(-0.12862378, 0.05227614, 0.2132678, 0.056268826, 0.01965921, -0.27655914, 0.092967786, 0.005236845, -0.077529125, 0.08411694, -0.01710931, 0.026741153, 0.074644126, 0.028845703, 0.08699953, -0.024485381) * go_3(0.0, 1.0); result += mat4(-0.04199397, -0.1308821, -0.19070597, -0.08945986, -0.1037197, -0.13604449, -0.016228938, -0.022551721, -0.0076362723, 0.17063893, -0.11217443, -0.08726737, 0.030895764, -0.1522529, 0.06507714, 0.12095355) * go_3(1.0, -1.0); result += mat4(0.10817155, -0.09881775, 0.040993568, 0.13947234, -0.021370577, -0.1635348, 0.10220782, 0.02202579, 0.11209738, 0.020609956, -0.14656629, -0.13919814, -0.14060068, -0.12372531, -0.10188449, 0.09123819) * go_3(1.0, 0.0); result += mat4(0.025041433, -0.10927458, 0.025021726, 0.06930344, -0.021769155, -0.15327594, -0.0069944495, -0.096232496, 0.045868713, 0.13147569, 0.12798029, 0.14647365, -0.12404578, -0.06822283, 0.05034958, -0.079014435) * go_3(1.0, 1.0); result += mat4(0.120342575, 0.14266843, 0.15449679, -0.20489338, -0.18671677, -0.14057173, -0.022556288, 0.18901058, -0.039756775, -0.08051133, 0.0049373866, -0.07846298, 0.13748513, -0.16085026, -0.13095982, 0.069473505) * go_4(-1.0, -1.0); result += mat4(-0.0007415831, 0.31254232, 0.21238111, 0.3193219, -0.013947761, -0.11949059, 0.071580306, 0.20652267, 0.0025851065, -0.050295394, 0.07416682, 0.118062474, 0.09723194, -0.1944007, -0.04659032, 0.0041032876) * go_4(-1.0, 0.0); result += mat4(0.036666203, -0.034048863, 0.08825516, 0.12822092, -0.07214442, 0.14225818, 0.05442037, 0.2867944, 0.10804068, 0.005131857, 0.06265404, -0.1566144, -0.095446564, 0.02358177, -0.06441483, 0.013047708) * go_4(-1.0, 1.0); result += mat4(-0.019146625, 0.006266473, 0.16762416, -0.0046162964, 0.028772417, -0.04452443, 0.14713071, 0.110226825, -0.08499617, 0.05402624, 0.1251715, 0.15287799, -0.13131016, -0.14755967, -0.0972085, -0.11798382) * go_4(0.0, -1.0); result += mat4(-0.30595997, 0.12551622, 0.14074358, 0.31970632, 0.021614574, 0.05120308, -0.116856426, 0.17851515, -0.0606671, 0.0880086, 0.0879823, -0.121758536, -0.115652494, -0.10002807, 0.0134744225, -0.12445348) * go_4(0.0, 0.0); result += mat4(-0.0023540058, 0.0014380866, -0.0062776282, -0.013318381, 0.2525834, 0.05257154, 0.27028328, 0.25816876, 0.0989505, 0.013704121, -0.12839815, -0.018599706, -0.06479225, 0.031059438, 0.09665992, 0.11649063) * go_4(0.0, 1.0); result += mat4(0.15184228, 0.07354054, 0.12431531, 0.03574188, -0.092972584, -0.015326739, 0.058178544, 0.077439696, -0.048038736, -0.049098626, 0.06988285, 0.13670042, -0.030649297, -0.13373514, 0.079972826, 0.1935703) * go_4(1.0, -1.0); result += mat4(-0.0306585, 0.034239594, 0.033652745, 0.08766325, 0.04726368, -0.0018955129, -0.07785312, 0.04691356, 0.04909221, 0.06809451, 0.05471455, 0.033277687, 0.08671436, -0.076155, 0.058292333, 0.07179553) * go_4(1.0, 0.0); result += mat4(-0.11209963, -0.13103989, -0.33400932, -0.11662754, -0.0042046346, 0.10080948, -0.012552136, 0.067940794, 0.002866087, -0.009874096, 0.12763286, -0.03031877, -0.022642719, -0.036547594, 0.03913018, 0.16629295) * go_4(1.0, 1.0); result += mat4(-0.049061082, 0.04717187, 0.071327575, 0.102352396, -0.07726938, 0.14094698, 0.09341758, -0.058272626, -0.12784153, -0.12360863, 0.07852188, -0.018093389, 0.035160895, 0.016824258, 0.0052461606, 0.0033554626) * go_5(-1.0, -1.0); result += mat4(0.018116081, 0.16159694, -0.07326371, 0.022021493, -0.22974226, 0.14431556, 0.18882045, -0.06435289, -0.08000142, 0.22792707, 0.29219145, -0.11494335, 0.034841456, 0.06518259, -0.106704816, 0.021235496) * go_5(-1.0, 0.0); result += mat4(0.018035064, -0.096702196, -0.003464681, -0.0022220302, 0.17624727, 0.14363256, -0.19396667, -0.34004405, -0.03063283, 0.19805308, -0.27726153, 0.057164174, 0.15531784, 0.047855917, 0.10516178, -0.032779023) * go_5(-1.0, 1.0); result += mat4(-0.027642028, 0.012042295, 0.04119136, -0.0016244284, -0.008791894, -0.099617824, 0.130931, 0.09994816, 0.078902684, -0.09399918, -0.028129447, -0.08370564, 0.14835656, -0.092096, 0.028383795, 0.06584475) * go_5(0.0, -1.0); result += mat4(0.05457846, -0.08758556, 0.065143414, -0.02529071, 0.025666919, 0.062288575, 0.064544715, -0.12310881, -0.02070911, 0.18719092, 0.0012470647, 0.09065394, 0.089744836, -0.15765521, 0.011515355, 0.0014871175) * go_5(0.0, 0.0); result += mat4(0.07279259, -0.12122391, -0.08129001, -0.003152676, -0.12411482, -0.073190294, -0.082995065, -0.18986583, -0.13675113, 0.22535498, -0.3076794, 0.07931998, 0.05800563, 0.1491273, -0.041464128, 0.019409955) * go_5(0.0, 1.0); result += mat4(-0.025654098, 0.004081217, 0.12530875, -0.021707695, 0.021711746, -0.12258257, 0.038685348, 0.012969257, 0.15082629, 0.25955087, 0.038080525, 0.06926174, -0.18477698, -0.019098116, -0.102281064, 0.15542246) * go_5(1.0, -1.0); result += mat4(0.10249199, -0.10188846, 0.021524258, -0.12272311, -0.11009372, 0.06345044, -0.18588856, -0.007431814, -0.050587643, -0.15557933, -0.13853042, 0.047833357, -0.0744104, 0.11987986, -0.105088085, 0.042513683) * go_5(1.0, 0.0); result += mat4(0.026596246, 0.018244766, 0.028712826, -0.09448985, -0.11023519, -0.18980093, -0.13144584, 0.028966134, -0.07903197, 0.07254252, 0.03271572, -0.016627928, 0.060513306, -0.0023916247, 0.036441766, 0.09406577) * go_5(1.0, 1.0); result += mat4(0.14232405, 0.114720814, -0.11144986, 0.05589229, 0.21639122, -0.21761972, -0.061168928, 0.080087356, -0.10099732, 0.21700649, -0.031544153, 0.117821574, -0.06040332, 0.13623528, 0.06532833, -0.14136268) * go_6(-1.0, -1.0); result += mat4(-0.07024258, 0.06820036, -0.09896652, 0.05239327, 0.032074407, 0.060166884, 0.10918488, -0.1604831, -0.009571049, 0.04476715, 0.0015439093, -0.10482196, 0.06763937, 0.06017622, 0.052919876, -0.014136124) * go_6(-1.0, 0.0); result += mat4(-0.11302243, -0.1170903, 0.0673738, 0.23662187, -0.27710503, 0.22600567, -0.157852, 0.18483819, -0.06633612, -0.075139135, 0.18872209, -0.16697425, -0.009961328, 0.0054550236, 0.15502341, 0.28695628) * go_6(-1.0, 1.0); result += mat4(0.092126146, 0.117538795, -0.06692514, 0.09119318, 0.062271398, -0.015108815, -0.11658865, -0.06650951, -0.07589854, 0.1035485, -0.021629412, 0.09805429, -0.0708413, -0.13716145, -0.062434144, -0.21314396) * go_6(0.0, -1.0); result += mat4(0.14058985, 0.05628658, 0.068072565, 0.015168637, -0.081879094, -0.11241576, -0.15573281, -0.14864771, -0.008265013, -0.016971482, 0.029315297, -0.022753824, 0.17329606, 0.15320353, -0.019930441, 0.018783867) * go_6(0.0, 0.0); result += mat4(0.13796028, 0.0007160951, 0.09305637, 0.1422529, 0.026356421, 0.123341836, 0.23719853, 0.1400149, -0.021316648, 0.024492603, 0.012550349, 0.045684777, 0.025818808, -0.018001324, -0.038435712, 0.20630158) * go_6(0.0, 1.0); result += mat4(-0.11568665, -0.03569228, -0.044090636, -0.10155582, 0.083382055, 0.24301195, -0.022245454, -0.033773556, -0.0018937895, -0.032795303, 0.022721868, 0.061526462, 0.0015668315, 0.06938226, 0.0012288125, 0.16084138) * go_6(1.0, -1.0); result += mat4(-0.05176824, -0.14839195, -0.103155345, -0.019997707, -0.019272018, -0.14287192, -0.122550696, 0.0026290747, 0.019299414, -0.06372184, 0.043157134, -0.082327895, -0.056246907, -0.14413235, -0.033780627, 0.004704482) * go_6(1.0, 0.0); result += mat4(-0.046451636, 0.11087259, -0.037147224, 0.023245918, -0.042846806, -0.1184961, 0.1623827, 0.29253852, -0.06542917, 0.049678918, -0.12009241, -0.045717973, 0.056798954, -0.2672507, -0.2594758, 0.08353679) * go_6(1.0, 1.0); result += mat4(0.13407503, -0.008476969, -0.06088965, -0.051065, 0.0742294, -0.16301575, 0.052767858, 0.07149886, 0.047530167, -0.068021476, 0.1448473, -0.07827654, 0.032189, 0.12479039, 0.21760924, -0.019127456) * go_7(-1.0, -1.0); result += mat4(-0.11901753, -0.07702293, -0.19622257, 0.21091644, 0.101466514, -0.17538056, -0.026478102, -0.09568351, -0.13776886, 0.03352246, -0.044475798, 0.06343639, -0.06423362, 0.010770134, 0.10607595, -0.06725147) * go_7(-1.0, 0.0); result += mat4(-0.068801604, -0.03648746, 0.02905415, 0.09690945, 0.07492833, -0.038676526, 0.12591788, 0.02544471, -0.0071540326, -0.08509896, 0.06756858, -0.036927108, -0.021289624, 0.17029919, 0.085151546, -0.26516253) * go_7(-1.0, 1.0); result += mat4(0.07898282, -0.05492911, -0.06265257, -0.032484416, 0.17785741, -0.05145782, 0.01762633, 0.016563665, 0.060774446, 0.051605314, 0.033413686, -0.19302492, 0.13779348, -0.11123576, 0.12809837, 0.03933712) * go_7(0.0, -1.0); result += mat4(-0.0611527, -0.15432398, -0.11532295, 0.1302903, 0.05395265, 0.0364706, 0.0031310646, -0.08676014, -0.06850696, -0.08188169, 0.09603465, -0.08290717, -0.001512079, 0.10533397, 0.13712364, -0.09277913) * go_7(0.0, 0.0); result += mat4(0.19899495, 0.01849356, 0.03558897, 0.11410951, -0.10390808, 0.008156282, 0.057708547, 0.065857045, 0.083575174, -0.09678853, -0.020182457, 0.051305577, -0.015270724, 0.055178646, 0.06955839, -0.07062595) * go_7(0.0, 1.0); result += mat4(-0.054933123, -0.04966491, -0.0047603757, -0.15511824, -0.052456774, 0.04770036, -0.12310741, 0.062061965, -0.0059904433, -0.07888004, -0.012614444, -0.15300304, 0.052804995, -0.028602274, 0.18020386, 0.06730639) * go_7(1.0, -1.0); result += mat4(-0.025813729, 0.15076204, -0.13246286, 0.030926403, 0.06400941, 0.11952475, 0.081793286, 0.007770181, -0.06359484, 0.07682049, 0.10800592, -0.0327746, -0.107736856, 0.15939856, 0.1538754, 0.06256646) * go_7(1.0, 0.0); result += mat4(-0.15986821, 0.021590011, -0.11264431, 0.0093079535, -0.013647156, -0.2604828, -0.11631053, 0.016986847, 0.0015941777, 0.05487975, -0.074997805, -0.06112192, 0.0983382, 0.013772516, 0.1471619, -0.08080517) * go_7(1.0, 1.0); result += vec4(0.010537005, 0.0126211485, -0.032614365, 0.0065620933); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_9_tf //!BIND conv2d_9_tf1 //!BIND conv2d_9_tf2 //!BIND conv2d_9_tf3 //!SAVE conv2d_10_tf //!WIDTH conv2d_9_tf.w //!HEIGHT conv2d_9_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_9_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_9_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_9_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_9_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_9_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_9_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_9_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_9_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(0.08889782, -0.15311077, 0.04823438, -0.04558368, 0.044214565, -0.028379409, 0.028363805, 0.13412485, -0.02070058, 0.0712695, -0.07548294, 0.008121656, -0.0072323224, -0.03016635, -0.02453755, 0.019908503) * go_0(-1.0, -1.0); result += mat4(0.050423365, 0.004502398, -0.13227503, 0.0142806405, -0.09818105, 0.036187742, 0.105036445, 0.030699562, 0.072710045, 0.036431707, -0.32996574, -0.028462645, 0.018948672, 0.092441365, 0.056769088, -0.0005644272) * go_0(-1.0, 0.0); result += mat4(0.04035664, 0.02985188, -0.10089088, 0.03438271, 0.050862562, 0.07788319, -0.050375022, -0.06304437, 0.17106578, -0.028320076, 0.016773457, 0.15019535, -0.027613606, 0.035642974, -0.14601788, -0.013190211) * go_0(-1.0, 1.0); result += mat4(-0.046619892, -0.16665885, 0.09188837, 0.009912041, 0.10663907, 0.015233106, -0.12871371, -0.019690927, -0.011069769, -0.22700125, -0.0690297, 0.019255418, -0.054341584, -0.01620642, -0.08029935, 0.0070098583) * go_0(0.0, -1.0); result += mat4(-0.057606664, 0.11877831, 0.15346865, 0.036811285, -0.22125806, 0.0075666574, 0.17679036, 0.11306051, -0.13521308, -0.15850207, 0.022859296, 0.00769397, -0.08765156, -0.104902625, -0.07514916, 0.2486268) * go_0(0.0, 0.0); result += mat4(-0.013212743, -0.0044239555, 0.025461525, -0.015481864, 0.14041474, 0.05975429, -0.17976587, 0.0145503, -0.077713594, -0.04593509, 0.052384466, 0.0006284831, 0.038034808, -0.05230159, -0.109702006, -0.07265091) * go_0(0.0, 1.0); result += mat4(-0.025693098, -0.13572535, -0.01895864, 0.03893592, -0.036710177, -0.01088019, -0.09368372, -0.03182742, 0.122763634, -0.0076654744, -0.050077043, -0.022201162, 0.0074185994, -0.006451397, -0.038261954, -0.1110297) * go_0(1.0, -1.0); result += mat4(-0.039450645, -0.04789768, 0.09936957, 0.058521174, 0.07142846, -0.084644906, 0.07261612, -0.046694856, -0.012884207, 0.13373013, -0.01742012, -0.1042255, -0.12536846, 0.070329286, 0.047471847, -0.10530532) * go_0(1.0, 0.0); result += mat4(-0.04974837, 0.13026807, 0.04820301, -0.01600421, -0.042744927, -0.025909515, 0.014976897, 0.08282662, 0.022004148, 0.06386686, 0.059391394, -0.082625166, -0.008872271, 0.1102126, 0.035499003, -0.13043708) * go_0(1.0, 1.0); result += mat4(-0.043579586, -0.046892926, -0.070677124, -0.041093647, 0.03537788, -0.076763846, 0.0009548247, 0.14523864, 0.05719185, -0.045606427, 0.123260975, 0.006404617, -0.099142045, 0.03578823, -0.10354938, -0.07529272) * go_1(-1.0, -1.0); result += mat4(-0.116821036, -0.15675275, 0.18103552, 0.04812708, -0.036657147, 0.08506689, 0.24174918, 0.22408468, -0.06543428, 0.066437855, 0.19154602, 0.028406492, -0.046705004, -0.04704879, 0.19588713, 0.055319898) * go_1(-1.0, 0.0); result += mat4(-0.010022652, 0.0015642877, 0.009469823, 0.009802116, -0.037166927, -0.02884251, 0.13500874, 0.01426166, 0.008246828, 0.03139519, -0.012114353, -0.016503382, 0.2640404, -0.051485654, -0.016649412, -0.017588545) * go_1(-1.0, 1.0); result += mat4(-0.010124425, -0.14225397, 0.08314724, -0.23153158, 0.0014681354, -0.1390618, 0.07377463, 0.039181106, -0.040100355, -0.0142914895, -0.17522524, -0.037204843, 0.021581141, 0.18683401, 0.13369183, 0.0390764) * go_1(0.0, -1.0); result += mat4(-0.02851701, 0.23242348, 0.1277155, -0.19211055, 0.023522437, -0.08730311, -0.05148616, 0.035363246, 0.042116232, 0.08163083, 0.04480609, 0.038017258, 0.19803137, 0.099729985, -0.038464006, -0.07226916) * go_1(0.0, 0.0); result += mat4(-0.1866285, -0.11600278, 0.1881696, 0.06068764, -0.10416259, 0.077949375, -0.053726874, 0.1047242, -0.13619052, -0.08904579, -0.016545152, 0.17650889, 0.039236277, 0.043816928, 0.1268894, -0.19868605) * go_1(0.0, 1.0); result += mat4(-0.025585523, 0.045342762, 0.0026381463, 0.004636469, -0.07053126, 0.04854706, -0.018913629, -0.010274392, 0.081275366, 0.052705947, 0.07343148, 0.09422946, -0.074321106, -0.0866174, -0.051429134, 0.057454497) * go_1(1.0, -1.0); result += mat4(0.037784588, 0.084031895, 0.065270744, -0.10870336, -0.13500641, -0.025338924, -0.019163836, -0.07293429, 0.116194114, 0.1266802, 0.015490869, 0.008635241, -0.21149078, -0.199303, 0.009074041, 0.042760603) * go_1(1.0, 0.0); result += mat4(-0.06323883, 0.055710826, 0.017565519, -0.04540938, 0.013367078, 0.15984154, 0.13096973, 0.03138492, 0.027152853, -0.021551156, -0.13443787, 0.06898135, -0.10787318, -0.043363508, 0.00666605, 0.043900643) * go_1(1.0, 1.0); result += mat4(0.009035264, 0.020594807, 0.015705304, 0.01909982, 0.08320093, -0.103481755, -0.10641082, -0.03442891, 0.0047570583, 0.08687775, 0.06897745, -0.018835394, -0.066996634, -0.049071193, -0.16802575, 0.0044500753) * go_2(-1.0, -1.0); result += mat4(0.04045015, 0.08801431, -0.08804257, -0.0023234654, 0.030842444, 0.018819112, 0.10408235, 0.06429923, 0.03985677, 0.031426232, 0.13569061, -0.14335556, -0.037044074, -0.103468224, -0.09185709, -0.07604263) * go_2(-1.0, 0.0); result += mat4(-0.010495441, 0.06289279, -0.05870335, -0.1904296, 0.057986103, 0.043326564, -0.097958155, 0.104971156, 0.07364184, 0.034985706, -0.19703776, 0.043712724, 0.07940852, -0.010851745, 0.14496458, -0.015142011) * go_2(-1.0, 1.0); result += mat4(0.025466047, -0.08039815, -0.026971048, 0.10441981, -0.06507468, -0.1337023, 0.1451312, -0.092361696, 0.11647118, -0.018967701, -0.09679053, -0.12715657, 0.0049849623, 0.05230491, -0.021765102, -0.020865416) * go_2(0.0, -1.0); result += mat4(0.0075712977, 0.03345767, -0.057719618, 0.14185268, 0.082015894, 0.009533725, 0.07871332, -0.09614353, 0.07002554, 0.079299755, -0.025585618, 0.0152029125, -0.08076779, -0.19227244, -0.04965265, -0.061909772) * go_2(0.0, 0.0); result += mat4(-0.010124431, 0.0013454502, 0.05622167, 0.0614913, -0.006998316, 0.023906026, -0.07123647, -0.09987564, -0.14460497, -0.041314058, -0.036342222, 0.112912245, 0.048668977, 0.044658728, 0.019917604, -0.007595695) * go_2(0.0, 1.0); result += mat4(0.055248134, 0.017488867, -0.0074054203, -0.04487277, -0.13840093, 0.037144244, -0.0017901342, -0.049469203, -0.068407014, -0.002747277, 0.029810332, -0.07904478, 0.055827897, 0.114826, 0.07382718, -0.026687222) * go_2(1.0, -1.0); result += mat4(0.08219817, 0.1619462, -0.09470693, 0.083237365, -0.0924052, 0.01067484, -0.0035807928, -0.069811486, -0.013960181, 0.10654318, -0.024244606, -0.06582165, 0.04962566, 0.027068332, 0.0841098, 0.033444792) * go_2(1.0, 0.0); result += mat4(0.17503081, 0.03665154, -0.0675055, 0.027293172, -0.03523338, 0.0109953685, 0.011622604, -0.11386672, -0.00032072345, -0.025685903, -0.05279821, 0.09421746, 0.039889757, -0.01880816, 0.05618171, 0.0022874111) * go_2(1.0, 1.0); result += mat4(-0.13145523, 0.18216553, 0.16554132, 0.09174621, -0.0051634437, -0.048285816, -0.029851796, -0.024521131, -0.064170815, 0.04725991, -0.097417906, -0.09764079, 0.049423784, 0.16233915, 0.23060358, -0.0062447516) * go_3(-1.0, -1.0); result += mat4(0.032495294, -0.2682059, -0.37521285, -0.029825145, -0.09773881, -0.0066955523, 0.06277792, -0.083181195, 0.05386697, -0.037506554, -0.039655734, -0.0050008455, 0.037204262, 0.09936529, 0.005109203, 0.12107711) * go_3(-1.0, 0.0); result += mat4(0.17437148, -0.059008747, -0.22437404, -0.061140712, -0.085489735, -0.03494208, 0.080636404, -0.060815886, 0.05937275, -0.025692465, -0.025606196, 0.042834997, -0.13546485, -0.10590498, -0.14345334, 0.0046743182) * go_3(-1.0, 1.0); result += mat4(0.03558994, 0.087737836, -0.038992245, 0.14311473, 0.053867705, -0.1257101, -0.0018974398, 0.018802585, 0.034442518, 0.09937298, 0.13657762, 0.024501108, -0.0040634726, -0.078894846, 0.10380101, 0.035019495) * go_3(0.0, -1.0); result += mat4(-0.16890417, 0.06156658, 0.03077302, -0.16106246, -0.017029505, 0.11685676, -0.012574194, 0.039645053, -0.003144679, 0.089480534, -0.03166805, 0.08350338, 0.012151949, -0.033835117, 0.11382378, 0.07414846) * go_3(0.0, 0.0); result += mat4(-0.17016909, 0.027876107, 0.04067996, -0.048124984, 0.011483843, 0.09505421, -0.009452186, -0.051690947, -0.07523587, 0.10085903, -0.05644697, -0.028940927, 0.17628358, 0.09629752, 0.14373964, 0.0021410924) * go_3(0.0, 1.0); result += mat4(-0.0037599285, 0.04272923, 0.0026777869, -0.0140216, -0.026618365, -0.04173863, 0.08150853, 0.0025315892, -0.01895354, 0.102992274, 0.041345052, 0.03883729, 0.0924492, 0.05886179, 0.015202135, -0.11207661) * go_3(1.0, -1.0); result += mat4(-0.12403727, 0.01637198, 0.04096121, -0.11977578, -0.014450318, -0.06769534, 0.11740226, 0.08816537, 0.19629698, 0.18154356, -0.08592387, -0.019187221, -0.03796658, -0.106272355, 0.05420226, 0.018840006) * go_3(1.0, 0.0); result += mat4(-0.050734147, 0.061064612, 0.016702149, -0.018882874, 0.09218629, -0.11073548, -0.0028023277, -0.010835074, 0.04149203, 0.12168354, -0.059796926, -0.12945394, 0.038868375, -0.08704314, -0.009328244, 0.081930615) * go_3(1.0, 1.0); result += mat4(-0.100008845, -0.115009055, 0.15168963, -0.01758568, 0.04532579, 0.08870267, 0.09462516, 0.005414994, -0.050950747, 0.13270593, 0.030503616, 0.027042845, -0.006835031, -0.10579588, -0.0643324, -0.008061472) * go_4(-1.0, -1.0); result += mat4(-0.18259896, -0.06677021, 0.009504482, -0.1842928, -0.026170325, 0.00043852927, -0.06471976, 0.02997685, 0.02595068, 0.031614214, 0.21114227, 0.025900716, -0.17008767, -0.007941647, 0.17943352, 0.057212297) * go_4(-1.0, 0.0); result += mat4(0.010857713, -0.0002794059, 0.23158428, 0.16893044, -0.1557764, 0.019845916, -0.050243165, 0.020767516, -0.058061093, 0.020982072, 0.012367622, 0.01101485, 0.024589071, 0.05084018, -0.02436446, -0.05878187) * go_4(-1.0, 1.0); result += mat4(0.012373701, 0.067655645, -0.028974818, -0.051458526, -0.03400436, 0.07357711, 0.020821717, 0.120083876, -0.053849153, 0.1278378, -0.011223256, 0.06836699, 0.030158738, 0.0467768, 0.14818475, -0.045275457) * go_4(0.0, -1.0); result += mat4(0.03103519, -0.026628016, -0.15541978, -0.08434361, 0.06292301, -0.03746335, -0.107766226, -0.09786059, 0.07117096, -0.06319719, 0.11203641, -0.037364762, 0.12603277, 0.08220379, 0.0149918785, -0.092076994) * go_4(0.0, 0.0); result += mat4(-0.09075286, -0.033164006, 0.10945737, 0.2770637, -0.16555783, 0.07310421, 0.026942289, 0.29650962, -0.1007844, 0.009096539, -0.06395033, 0.09699946, -0.07901404, 0.040918924, 0.098537594, -0.04509798) * go_4(0.0, 1.0); result += mat4(0.007999323, 0.0046959305, -0.03181889, -0.041286197, -0.0036372268, 0.020058637, 0.037964053, -0.016066216, -0.019170566, 0.016866915, -0.10172061, 0.09604732, 0.082420416, -0.05594466, -0.0756941, 0.036003392) * go_4(1.0, -1.0); result += mat4(0.071109265, -0.08595922, -0.15273578, -0.04714358, -0.039822437, 0.085219406, -0.057365675, 0.045313027, 0.1338325, -0.027771475, 0.13640241, 0.1525042, 0.055682134, -0.094727375, -0.026674733, -0.009161929) * go_4(1.0, 0.0); result += mat4(0.0027815856, 0.17028663, 0.01599458, 0.11059541, 0.021278301, -0.02299255, -0.046445813, 0.01140362, -0.028351959, -0.038226657, -0.01955651, 0.11908411, -0.034029853, -0.10767461, -0.11081511, 0.03566396) * go_4(1.0, 1.0); result += mat4(-0.01359866, 0.13117082, -0.09357916, -0.029195316, -0.009054719, 0.0694315, 0.17173718, 0.037290372, 0.062218763, 0.082544655, 0.03066545, 0.09272635, 0.082720116, -0.014737289, 0.10527505, -0.0689924) * go_5(-1.0, -1.0); result += mat4(-0.0706202, 0.12618336, -0.15827578, -0.057750463, 0.14855652, 0.1458758, -0.123203725, 0.19543667, 0.18961985, -0.007020239, -0.031297687, -0.033669226, -0.010986353, 0.0066039455, -0.1652515, -0.0059961043) * go_5(-1.0, 0.0); result += mat4(-0.040597215, 0.016640672, 0.0061419294, 0.080478184, 0.018984126, 0.06710943, -0.06675578, -0.11948528, 0.04214188, 0.0052774074, 0.030882267, -0.005388406, -0.039811462, -0.01028474, -0.083587855, 0.0029053325) * go_5(-1.0, 1.0); result += mat4(-0.05731081, -0.04265545, -0.0755327, 0.1441698, 0.036332745, -0.0067641083, -0.04228671, 0.08545495, -0.0909647, 0.2205254, 0.20305182, -0.09450949, -0.04061624, -0.035271652, -0.095942676, -0.026358822) * go_5(0.0, -1.0); result += mat4(-0.050612856, 0.0145045, 0.17043534, 0.08267622, -0.034799397, -0.06804938, 0.13429774, 0.07218003, 0.15208139, -0.039168525, 0.038500663, 0.07258302, -0.122111656, -0.15208225, -0.09210869, 0.059862003) * go_5(0.0, 0.0); result += mat4(0.0415679, 0.11520605, -0.030313483, 0.122075975, 0.06583631, -0.019953119, 0.109392576, -0.0510396, 0.09787855, 0.26775602, -0.18646449, -0.12933819, -0.04493963, -0.037615146, 0.0570058, 0.011027787) * go_5(0.0, 1.0); result += mat4(-0.02655267, -0.098945014, -0.09336936, 0.07748091, -0.00047962685, 0.014854489, -0.068141386, 0.0071108737, -0.1333433, 0.03353786, 0.018027728, -0.07141378, -0.064265154, 0.056028087, 0.082747355, -0.071275316) * go_5(1.0, -1.0); result += mat4(-0.05542939, -0.07380958, 0.01437026, 0.23931144, 0.08378484, 0.026806151, 0.009641943, -0.011398272, -0.051237162, 0.08034507, -0.017141929, -0.020286817, 0.08660475, 0.07309451, -0.03789005, -0.052705795) * go_5(1.0, 0.0); result += mat4(-0.028130122, -0.031831503, 0.016689168, 0.10056315, -0.06354666, -0.15095639, -0.08982293, 0.116643555, -0.025013596, -0.019885266, 0.014840034, -0.2278798, -0.01701857, 0.011629466, -0.006176379, 0.04527816) * go_5(1.0, 1.0); result += mat4(0.09877462, 0.029073205, 0.11243462, 0.044177532, -0.075923786, 0.02546148, 0.10739565, -0.13975054, 0.044879325, -0.11958629, 0.04363638, 0.077704646, 0.02696298, -0.027670769, -0.09089905, -0.06455269) * go_6(-1.0, -1.0); result += mat4(0.0030152819, -0.02731273, 0.0066886866, 0.048644535, -0.06557933, -0.005832296, -0.06140005, -0.1994014, -0.11878561, -0.2267219, -0.11640984, -0.0155212805, 0.07085509, -0.009048477, -0.14769004, -0.123608634) * go_6(-1.0, 0.0); result += mat4(-0.06752226, -0.016893445, 0.07294028, -0.052196287, 0.03547883, 0.101674356, 0.04949045, -0.09284047, 0.0729387, -0.07581744, -0.09281662, -0.031965096, 0.037925586, -0.07312763, -0.036286525, 0.03144849) * go_6(-1.0, 1.0); result += mat4(0.064824305, 0.024864329, -0.056642268, 0.04918063, 0.1930241, 0.0071046185, -0.016237276, 0.013059835, -0.14946592, -0.09492835, 0.020961342, 0.047568906, 0.00048450654, -0.15269406, -0.08010619, -0.1388464) * go_6(0.0, -1.0); result += mat4(-0.18825355, 0.22652678, 0.13892595, 0.117251605, -0.062407874, 0.008739453, 0.073387355, 0.05264442, -0.0031089867, -0.06777429, -0.16784573, -0.020113356, 0.04869496, 0.08135994, 0.07246035, -0.19927453) * go_6(0.0, 0.0); result += mat4(-0.18046555, 0.14942019, -0.009922297, 0.040851727, -0.13020493, 0.10147689, -0.08173918, -0.026491666, 0.039945066, 0.08903092, -0.036917374, -0.093293, -0.09607799, 0.19442783, -0.004808152, 0.097780965) * go_6(0.0, 1.0); result += mat4(-0.0758065, -0.03808871, 0.047511652, -0.0060790107, 0.08365728, 0.199537, 0.034738176, -0.19402026, 0.038024064, 0.065259285, 0.053378936, -0.009232693, -0.063165165, 0.024357138, 0.01648106, -0.0013202438) * go_6(1.0, -1.0); result += mat4(0.03521039, -0.034457784, 0.1159957, -0.115214765, 0.1685411, -0.021456879, -0.08062013, -0.13672292, -0.0668036, -0.101206556, -0.052379187, 0.03147825, -0.09889599, -0.028870791, -0.11832699, -0.0046074977) * go_6(1.0, 0.0); result += mat4(-0.050857995, 0.15759641, 0.047607794, 0.14805913, -0.07750758, 0.105473354, 0.102374494, 0.01994999, 0.033616915, -0.06992014, 0.056393575, -0.14204934, 0.05354153, 0.05013943, -0.114074394, 0.065119326) * go_6(1.0, 1.0); result += mat4(-0.04829731, 0.06885148, -0.14768778, -0.060326908, -0.103351146, 0.036768492, -0.06135658, 0.11148307, 0.014534502, 0.123006314, 0.036450353, -0.0383252, -0.20370677, -0.17286272, 0.16101491, 0.07556089) * go_7(-1.0, -1.0); result += mat4(-0.15262854, 0.14199285, 0.2511771, -0.10075314, 0.17736407, 0.2943528, 0.27172905, 0.1151125, 0.049084056, 0.059168756, 0.0650204, 0.03935768, -0.15067302, -0.13848037, -0.033887982, -0.026555846) * go_7(-1.0, 0.0); result += mat4(-0.0051172585, 0.02692111, 0.20705879, 0.008218838, -0.021862414, -0.102145776, 0.12885559, 0.114753574, 0.102891475, -0.1007345, 0.01208991, 0.05938357, 0.06780603, -0.1589195, -0.20958908, -0.041277707) * go_7(-1.0, 1.0); result += mat4(0.05422305, 0.029327532, -0.14234012, -0.030016532, 0.0482255, -0.046472695, 0.09939593, 0.08224116, 0.035823345, 0.07811289, -0.10744252, -0.08363756, -0.08364467, 0.057085298, -0.16731818, 0.20220445) * go_7(0.0, -1.0); result += mat4(-0.001880624, 0.11825207, 0.008596269, -0.10103486, -0.17410794, 0.0017706376, 0.21030387, 0.10192447, 0.07783077, -0.014912659, 0.164237, -0.17776188, -0.097639844, -0.08774552, -0.16644147, 0.12934735) * go_7(0.0, 0.0); result += mat4(0.06927279, 0.059731327, -0.060738076, -0.062833875, -0.015539843, -0.021360295, -0.053207625, 0.115540475, 0.017843733, 0.065999255, 0.0007332877, -0.03914544, -0.105941266, -0.07532644, -0.095935695, 0.10708794) * go_7(0.0, 1.0); result += mat4(0.0873342, 0.003396962, 0.026241373, -0.0785419, 0.081882305, -0.01897599, -0.040988095, -0.028300753, -0.056872226, -0.03653725, -0.0036923515, -0.07191479, 0.070348285, 0.20352787, 0.14121976, 0.055011783) * go_7(1.0, -1.0); result += mat4(0.01868485, 0.0013574177, -0.025322456, -0.08943172, 0.08110719, -0.0014665145, -0.17301609, -0.15072477, 0.032763265, -0.048716765, 0.035305195, -0.064817816, 0.0371342, -0.08201281, -0.19665426, 0.0653309) * go_7(1.0, 0.0); result += mat4(0.034040254, 0.08749453, 0.039605893, 0.026554601, 0.049870778, 0.16673377, -0.024515232, 0.1613443, -0.039366666, -0.011511365, 0.03501774, -0.015119788, -0.10082997, 0.002426415, -0.067138135, -0.05282799) * go_7(1.0, 1.0); result += vec4(-0.01535558, -0.024700014, 0.041315205, 0.023633905); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x72 //!HOOK MAIN //!BIND conv2d_9_tf //!BIND conv2d_9_tf1 //!BIND conv2d_9_tf2 //!BIND conv2d_9_tf3 //!BIND conv2d_11_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!SAVE conv2d_12_tf //!WIDTH conv2d_9_tf.w //!HEIGHT conv2d_9_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_9_tf_tex(conv2d_9_tf_pos)), 0.0)) #define g_1 (max((conv2d_9_tf1_tex(conv2d_9_tf1_pos)), 0.0)) #define g_2 (max((conv2d_9_tf2_tex(conv2d_9_tf2_pos)), 0.0)) #define g_3 (max((conv2d_9_tf3_tex(conv2d_9_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_9_tf_tex(conv2d_9_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_9_tf1_tex(conv2d_9_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_9_tf2_tex(conv2d_9_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_9_tf3_tex(conv2d_9_tf3_pos)), 0.0)) #define g_8 (max((conv2d_11_tf_tex(conv2d_11_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_11_tf_tex(conv2d_11_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.07763047, 0.27418226, -0.14338551, -0.11081361, 0.18755837, 0.13486148, -0.103934124, 0.15729067, -0.30118144, -0.23599705, -0.03624479, -0.13197371, 0.2509935, -0.053046692, 0.22451721, 0.062433634) * g_0; result += mat4(-0.009606105, -0.11484272, 0.014596453, 0.05732435, -0.28318888, 0.14493735, -0.12094529, -0.021383354, -0.19675042, -0.20649005, -0.117224075, -0.044716556, 0.07876854, 0.0063603655, 0.14384452, 0.34768546) * g_1; result += mat4(-0.20010832, 0.26670012, -0.07552091, 0.16396587, -0.0011262367, -0.10468841, 0.17872465, -0.041907642, -0.04863038, -0.13880715, -0.12238532, -0.00602456, -0.11301867, 0.13501893, -0.15452485, 0.0051267557) * g_2; result += mat4(0.015291708, -0.2517837, -0.24560767, 0.10868371, -0.1582953, -0.30957448, 0.29895902, -0.25554538, 0.24216072, -0.045922607, -0.08923091, -0.25642177, -0.33101156, -0.0058916584, 0.1821658, -0.05911768) * g_3; result += mat4(0.15687323, 0.055351928, -0.32324156, 0.1137441, 0.41560605, 0.41545513, 0.12071179, 0.10673924, -0.11547584, -0.37552577, 0.077131264, -0.12138124, -0.13219355, -0.22411941, 0.03978703, 0.3492272) * g_4; result += mat4(0.07044036, 0.11714306, -0.13374294, -0.055823848, -0.06303139, -0.1482969, -0.110342264, 0.036638733, 0.314413, 0.1842789, 0.17475197, 0.043438207, 0.0015348946, -0.3156743, -0.056865085, -0.053799774) * g_5; result += mat4(0.21131508, 0.4045569, 0.083308145, 0.14813706, -0.02388631, -0.061720062, 0.24854286, 0.30907345, 0.027408333, -0.007549164, 0.19938764, -0.17439002, 0.025626602, 0.08443904, -0.2024683, -0.06329822) * g_6; result += mat4(-0.015397141, 0.18421206, 0.08390624, -0.119724214, 0.17461216, 0.25613582, 0.056294072, -0.30151296, -0.1661106, 0.004817213, 0.20178172, -0.1557543, 0.31574607, 0.016265873, -0.11313175, 0.101584174) * g_7; result += mat4(-0.036003333, -0.2948743, 0.08890492, -0.2424807, 0.20558605, -0.005326227, -0.14824234, 0.13657871, -0.08299064, -0.2654781, 0.07763288, -0.20758678, 0.12413959, -0.09051654, -0.27145076, 0.1981802) * g_8; result += mat4(0.06444485, 0.041239545, 0.4109527, 0.25702617, -0.17460653, 0.2697094, 0.18714386, -0.10359985, 0.034952056, 0.058017034, 0.36967984, 0.1442043, -0.102753505, -0.07272067, 0.09906319, -0.02692305) * g_9; result += mat4(-0.3257422, -0.25091344, 0.05630559, -0.22858965, 0.0969714, 0.0627054, -0.09547412, -0.21921997, 0.11027036, -0.2087131, -0.0034146109, -0.042596426, 0.1338729, -0.029776977, -0.136488, 0.048176914) * g_10; result += mat4(0.42944148, 0.07361601, 0.039996527, -0.06972752, 0.12532753, -0.05265781, -0.061011825, 0.12728149, -0.007630841, 0.010768823, -0.08062439, 0.15050723, 0.059922203, 0.034361467, 0.2352152, -0.059999254) * g_11; result += mat4(0.1987271, -0.068179525, -0.33349162, 0.018712096, -0.069019474, 0.16223519, -0.012386762, -0.058549248, 0.23421755, -0.11690985, -0.18661754, -0.12185474, -0.022877546, -0.11763273, 0.0713361, -0.036679223) * g_12; result += mat4(-0.0042756563, -0.20779006, -0.14918481, 0.096974574, -0.015246231, -0.11454528, 0.14464086, 0.19934529, -0.0877081, 0.38296238, -0.010145265, -0.4274725, -0.20933542, 0.03727663, -0.004354278, -0.024973618) * g_13; result += mat4(-0.15737206, -0.20578605, 0.2868647, -0.13985285, 0.13827614, -0.048706137, 0.10751875, -0.09783745, 0.04060606, 0.21132666, 0.0064998385, -0.03548873, 0.11786483, -0.15699282, 0.2044634, 0.007233451) * g_14; result += mat4(-6.82634e-05, 0.23951311, -0.06425014, 0.07997111, 0.11085256, 0.15976904, 0.13375166, 0.21199653, -0.35401696, 0.065035254, -0.030974375, -0.08552442, 0.37972608, 0.10081147, 0.2001372, 0.17563076) * g_15; result += mat4(0.2773931, 0.1178841, 0.027378619, 0.2863328, -0.30616024, 0.06384452, -0.16728342, 0.06004475, 0.011872468, 0.05471154, -0.32518378, -0.18874332, -0.12623757, 0.23276375, 0.068185456, 0.21938467) * g_16; result += mat4(-0.18750657, -0.22679184, -0.024820909, -0.095249355, -0.14394966, -0.27550733, -0.19173676, 0.20593777, 0.07831533, 0.2730425, 0.34470567, 0.07874521, 0.09838028, -0.13954316, 0.18111953, 0.18931043) * g_17; result += vec4(-0.03305349, -0.054945398, 0.02216584, -0.091164745); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x72 //!HOOK MAIN //!BIND conv2d_9_tf //!BIND conv2d_9_tf1 //!BIND conv2d_9_tf2 //!BIND conv2d_9_tf3 //!BIND conv2d_11_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!SAVE conv2d_12_tf1 //!WIDTH conv2d_9_tf.w //!HEIGHT conv2d_9_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_9_tf_tex(conv2d_9_tf_pos)), 0.0)) #define g_1 (max((conv2d_9_tf1_tex(conv2d_9_tf1_pos)), 0.0)) #define g_2 (max((conv2d_9_tf2_tex(conv2d_9_tf2_pos)), 0.0)) #define g_3 (max((conv2d_9_tf3_tex(conv2d_9_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_9_tf_tex(conv2d_9_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_9_tf1_tex(conv2d_9_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_9_tf2_tex(conv2d_9_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_9_tf3_tex(conv2d_9_tf3_pos)), 0.0)) #define g_8 (max((conv2d_11_tf_tex(conv2d_11_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_11_tf_tex(conv2d_11_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.29876372, 0.016366975, 0.21096407, -0.020094471, -0.1900656, -0.072851926, 0.26933378, 0.2965162, 0.047404896, -0.07100038, 0.36576727, -0.1726564, -0.09022945, -0.045195863, 0.054235443, 0.05129035) * g_0; result += mat4(-0.17622513, 0.029871318, 0.1261812, 0.2222432, -0.13800889, 0.07485947, 0.18132168, -0.07646577, 0.35130787, 0.025769712, -0.08360745, 0.1823751, 0.2580671, 0.17893296, -0.2970342, 0.2615672) * g_1; result += mat4(-0.09122936, 0.041544963, 0.11103348, -0.32509488, 0.11889552, -0.15459736, -0.14604495, 0.13639185, 0.25519374, -0.09549251, 0.027490158, -0.22870867, 0.15262592, -0.05271851, 0.07649719, -0.14544797) * g_2; result += mat4(-0.07842013, -0.07909847, 0.16719495, 0.060775355, 0.039721165, -0.11024404, 0.15099376, 0.017221982, 0.03604949, -0.00044745833, 0.09993808, 0.016347472, -0.1123219, 0.12352075, 0.0055856355, -0.038503457) * g_3; result += mat4(0.04749609, -0.011603198, -0.11631744, 0.29501718, 0.21616888, 0.076152876, 0.008262415, -0.17586538, -0.025060087, -0.06677992, -0.05253498, 0.20535102, 0.14948508, -0.16102068, 0.06183411, 0.12077816) * g_4; result += mat4(-0.0036952377, 0.15648776, -0.2770151, -0.26803473, -0.12806855, 0.21423273, 0.10177632, -0.010165392, 0.059501424, -0.16206288, -0.0119383745, -0.09637166, 0.016029779, -0.107704446, -0.066519134, -0.039579522) * g_5; result += mat4(-0.025284212, -0.11085338, -0.10921526, 0.19486162, 0.002627237, -0.24155024, -0.22131649, -0.008362887, -0.17378221, 0.254153, 0.14457825, 0.1237066, 0.1588314, 0.034734476, -0.32959384, 0.18392745) * g_6; result += mat4(-0.23717919, 0.032724388, -0.2579177, 0.032373153, 0.19237953, 0.18673407, -0.032884978, 0.34017587, 0.3633359, 0.22996293, 0.05866704, -0.051001176, 0.10989479, 0.15821928, 0.03814914, 0.18687908) * g_7; result += mat4(0.18111174, -0.045572106, 0.28947538, 0.028062606, 0.017460342, -0.11182857, -0.02323663, 0.22442394, -0.09908654, -0.1892071, -0.16361217, 0.23111914, -0.4034355, -0.160105, 0.124996185, 0.16111071) * g_8; result += mat4(-0.24601339, 0.16504896, -0.50432545, 0.17059588, -0.05622342, 0.03449165, 0.19813967, -0.23526217, 0.027649945, -0.091902114, 0.24123852, -0.27897063, 0.092255116, 0.46413165, 0.24431442, -0.28772914) * g_9; result += mat4(-0.10406283, 0.011556308, -0.28718328, 0.089035675, -0.34427065, -0.14430703, -0.05688551, 0.0073183607, -0.09622162, 0.11313123, 0.05555725, 0.14841734, 0.1549386, -0.17246638, 0.20873484, -0.03606831) * g_10; result += mat4(0.026205625, 0.20152962, -0.06303816, -0.3621029, -8.37066e-05, 0.022963323, 0.1556007, -0.010206023, -0.03585696, 0.013210482, 0.08844526, 0.08085807, 0.0154804215, 0.01674602, -0.22619575, -0.20517838) * g_11; result += mat4(-0.14771776, -0.087712936, 0.26490626, 0.13074578, -0.15972485, -0.17711553, -0.023439731, -0.35535946, 0.033503015, -0.04976214, 0.18148364, -0.25102466, 0.1015065, -0.17691332, -0.117089726, 0.2718636) * g_12; result += mat4(0.021445429, -0.2229151, 0.04363617, -0.01848845, 0.19044793, 0.12978733, 0.1401384, -0.051114038, -0.16472392, -0.059583012, -0.002701528, -0.12270173, -0.18227173, 0.03988044, 0.3377543, -0.18024927) * g_13; result += mat4(0.38426477, -0.09308802, -0.11083124, 0.21756104, -0.055889897, 0.100914784, 0.051462848, 0.1997221, 0.16923136, -0.0040037725, 0.21070997, -0.035059523, -0.0740145, -0.42558807, -0.020239443, -0.06474659) * g_14; result += mat4(-0.020568244, 0.08227015, -0.053252015, 0.01569164, -0.109781235, 0.06688285, 0.2620034, -0.18460485, -0.13735083, 0.0030442013, -0.21416521, -0.054695573, 0.047963038, 0.10726088, 0.034117166, 0.21801902) * g_15; result += mat4(0.520728, 0.06186967, -0.30889672, 0.0150618, -0.014702558, -0.2076953, -0.13387786, 0.101004966, -0.16997512, 0.14452092, -0.018287892, -0.14064445, 0.10045448, 0.33445045, 0.12254727, 0.033601977) * g_16; result += mat4(-0.08978202, 0.015013341, 0.11111453, 0.05192639, 0.18055484, 0.123284765, -0.1554275, 0.09262196, 0.057058904, -0.080403194, -0.163374, 0.046445247, -7.656726e-05, 0.23957397, -0.24086528, -0.04172887) * g_17; result += vec4(0.0030341349, -0.028386809, -0.0693459, -0.021886); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x72 //!HOOK MAIN //!BIND conv2d_9_tf //!BIND conv2d_9_tf1 //!BIND conv2d_9_tf2 //!BIND conv2d_9_tf3 //!BIND conv2d_11_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!SAVE conv2d_12_tf2 //!WIDTH conv2d_9_tf.w //!HEIGHT conv2d_9_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_9_tf_tex(conv2d_9_tf_pos)), 0.0)) #define g_1 (max((conv2d_9_tf1_tex(conv2d_9_tf1_pos)), 0.0)) #define g_2 (max((conv2d_9_tf2_tex(conv2d_9_tf2_pos)), 0.0)) #define g_3 (max((conv2d_9_tf3_tex(conv2d_9_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_9_tf_tex(conv2d_9_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_9_tf1_tex(conv2d_9_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_9_tf2_tex(conv2d_9_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_9_tf3_tex(conv2d_9_tf3_pos)), 0.0)) #define g_8 (max((conv2d_11_tf_tex(conv2d_11_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_11_tf_tex(conv2d_11_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.12601665, 0.16175638, -0.19269617, 0.107886985, -0.28229153, -0.47275612, -0.23898768, 0.11874162, -0.0438132, 0.1620992, -0.07009845, -0.088367306, -0.13653506, -0.24453755, 0.07402701, 0.112232625) * g_0; result += mat4(-0.1342178, -0.06971262, 0.12556942, 0.01929168, 0.23838176, 0.018971201, -0.05296016, -0.08929702, 0.040384937, -0.09414689, 0.07239966, 0.057094514, 0.022977736, 0.23681253, 0.07352691, 0.1401568) * g_1; result += mat4(0.13201892, 0.04062019, 0.052444696, 0.039319273, 0.029174356, 0.024773024, 0.24973504, 0.20124938, -0.11042911, -0.32369703, 0.13876265, 0.07454285, -0.29048622, -0.0073187165, 0.18820713, 0.1310624) * g_2; result += mat4(-0.052355357, 0.14466842, -0.20304704, -0.10945343, -0.13633797, -0.0362287, 0.21200177, -0.115031704, -0.007819006, -0.0060177785, 0.10633933, -0.06184755, 0.09415192, -0.109933, -0.025773333, 0.13335694) * g_3; result += mat4(-0.15166026, -0.363905, 0.16473109, 0.36505404, 0.056683872, 0.0061098817, 0.4168733, -0.044268914, 0.2840304, -0.27333218, -0.032296672, 0.08772143, -0.0003773526, 0.34500858, 0.16723311, -0.08633425) * g_4; result += mat4(0.17295076, 0.058134206, 0.10268273, -0.05562554, -0.01107067, -0.16301824, -0.15832978, -0.35605776, -0.059426963, -0.16527529, 0.08868478, -0.1846189, -0.017306576, 0.10800906, -0.012656846, 0.29250982) * g_5; result += mat4(-0.0046278895, -0.41774723, 0.24683201, 0.023414413, -0.0560346, 0.3508538, -0.018426506, -0.22601782, -0.22005035, 0.24708134, 0.20629126, 0.017688079, -0.21966107, 0.0007773641, 0.27158982, -0.15457745) * g_6; result += mat4(0.28892994, -0.0948736, -0.22442342, 0.18630128, 0.056576118, -0.17367427, 0.036432527, -0.12435009, 0.049795005, 0.13438956, 0.38832325, 0.040559538, -0.18281, -0.027084656, 0.14047231, 0.16336608) * g_7; result += mat4(0.07984998, 0.10912455, -0.25223976, -0.07150487, 0.39511418, -0.16752689, -0.012659484, 0.14530154, 0.15754412, -0.10894477, -0.1896881, -0.12754244, -0.2143525, -0.18319069, -0.13740367, 0.049823396) * g_8; result += mat4(-0.2693335, -0.22025953, -0.08723098, 0.030883936, -0.01043496, 0.049120355, 0.027913291, 0.2757188, 0.2999968, 0.1511124, 0.03902692, 0.012411737, 0.3374636, 0.07545474, 0.0019430651, -0.2693774) * g_9; result += mat4(0.22447923, 0.18749979, -0.2726834, -0.054140817, -0.028611785, -0.1420322, -0.26904938, 0.034827393, -0.16475505, -0.13389514, 0.004789874, -0.041023012, 0.13383822, -0.33016685, 0.14386353, -0.16444317) * g_10; result += mat4(0.06270732, -0.1334095, -0.15366173, -0.05587756, 0.10967794, 0.20958632, 0.0024631543, 0.0054002493, 0.1983807, 0.21552248, -0.027546072, 0.03749206, 0.09604704, -0.015076683, -0.18674834, -0.048891157) * g_11; result += mat4(0.3359941, 0.005712003, 0.12872687, 0.17963566, 0.13625218, -0.07016191, 0.41262105, 0.12859339, -0.029220538, 0.042857308, -0.09492956, -0.006781853, -0.002147385, 0.09192873, -0.034135956, 0.04365597) * g_12; result += mat4(-0.0655155, 0.09802182, -0.009230572, -0.11295286, -0.04042111, -0.167074, -0.042077914, -0.3769242, 0.3564197, -0.41506588, 0.010919382, 0.19179656, -0.30047882, -0.12062898, -0.09184107, 0.18559954) * g_13; result += mat4(-0.02611887, 0.18515642, -0.26166156, -0.11706778, 0.1758253, -0.04787028, -0.1428414, 0.20101525, -0.19495995, -0.114093624, 0.15655537, 0.09985385, -0.28163755, 0.04849391, 0.08238636, -0.084574856) * g_14; result += mat4(0.00010702968, -0.1017887, 0.18226019, -0.059170388, 0.18746078, 0.060440563, -0.14334333, -0.1825296, 0.27030236, 0.028283298, -0.09769837, -0.0023890818, 0.18596847, 0.07152733, -0.06317227, -0.12367107) * g_15; result += mat4(0.24603085, 0.056102052, 0.13449737, -0.23569027, -0.05986085, 0.27015293, -0.2839155, -0.089338146, -0.057650078, 0.25799945, -0.2778006, 0.32337326, 0.15381968, -0.10049262, -0.0764022, 0.07623496) * g_16; result += mat4(0.15472987, 0.087436944, -0.14177966, 0.22156389, 0.020608503, 0.2505864, 0.20408471, 0.031214792, -0.059114598, -0.15656275, 0.228334, -0.11210813, -0.06963447, -0.033369016, -0.09053422, -0.007444799) * g_17; result += vec4(0.010953258, -0.03096994, -0.08644558, -0.025292031); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x72 //!HOOK MAIN //!BIND conv2d_9_tf //!BIND conv2d_9_tf1 //!BIND conv2d_9_tf2 //!BIND conv2d_9_tf3 //!BIND conv2d_11_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!SAVE conv2d_12_tf3 //!WIDTH conv2d_9_tf.w //!HEIGHT conv2d_9_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_9_tf_tex(conv2d_9_tf_pos)), 0.0)) #define g_1 (max((conv2d_9_tf1_tex(conv2d_9_tf1_pos)), 0.0)) #define g_2 (max((conv2d_9_tf2_tex(conv2d_9_tf2_pos)), 0.0)) #define g_3 (max((conv2d_9_tf3_tex(conv2d_9_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_9_tf_tex(conv2d_9_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_9_tf1_tex(conv2d_9_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_9_tf2_tex(conv2d_9_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_9_tf3_tex(conv2d_9_tf3_pos)), 0.0)) #define g_8 (max((conv2d_11_tf_tex(conv2d_11_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_11_tf_tex(conv2d_11_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.17770122, 0.29082096, 0.04282091, 0.02549757, -0.23898254, 0.0010372455, 0.12527937, -0.0698982, 0.2606404, -0.010801856, 0.32558066, -0.26030767, -0.04800019, -0.07218525, 0.14526579, -0.18770672) * g_0; result += mat4(0.15203147, -0.07794133, 0.007123589, 0.098241664, 0.09907035, -0.27661824, -0.086697206, -0.2342014, -0.31787968, 0.049847364, 0.06507202, 0.21814133, 0.32412624, -0.083394185, -0.09934146, 0.23159225) * g_1; result += mat4(-0.096130975, 0.08083216, 0.44819605, 0.03937152, -0.13312627, -0.18089001, -0.18645371, -0.010557667, -0.124474674, -0.10351831, -0.12635191, -0.05673057, 0.018399497, -0.24488576, 0.026230913, -0.15852088) * g_2; result += mat4(0.10968734, -0.035089277, -0.067034565, 0.066106535, -0.14149925, 0.1641957, -0.18244973, -0.22383699, -0.18098424, -0.151712, 0.260575, -0.00048691966, 0.27418098, 0.2131733, -0.12303702, -0.101710096) * g_3; result += mat4(-0.3226536, 0.01744138, -0.12473336, 0.05616008, -0.4558458, -0.33108178, 0.004296858, -0.25150925, 0.11538608, -0.08004571, 0.20220277, 0.1365363, 0.21196564, 0.07377505, -0.060209595, 0.039599787) * g_4; result += mat4(0.00477916, -0.114327356, 0.011587205, -0.2702971, 0.23033854, -0.27782437, 0.32360908, -0.44537735, -0.013454022, 0.056789074, 0.033459242, 0.12902088, -0.1313282, -0.004177221, 0.041425087, 0.250106) * g_5; result += mat4(-0.24296634, -0.2151481, -0.030868901, 0.25469768, -0.042654943, 0.15871386, -0.12589258, -0.016274497, -0.033228472, 0.17153168, 0.04850832, 0.3116558, 0.07950622, 0.16695933, -0.25321132, -0.32425934) * g_6; result += mat4(-0.17190868, -0.08966977, 0.0064142062, 0.2417195, -0.28092504, -0.06055805, 0.24716014, -0.020504756, -0.030874953, -0.048863903, -0.043293115, 0.02698432, 0.079950914, -0.055653498, 0.034776926, 0.064640135) * g_7; result += mat4(-0.13084945, 0.06205162, -0.13606736, 0.39602286, -0.0030491774, -0.02476442, 0.0069150706, -0.026167216, 0.032697376, -0.030357588, 0.25825238, -0.07841919, -0.17723657, -0.06571916, -0.079561666, -0.009374618) * g_8; result += mat4(-0.24869454, -0.20812686, 0.21540813, -0.06763655, 0.08248998, 0.09615888, 0.01718324, 0.21635905, 0.20144391, -0.07219777, 0.098456375, -0.3403119, 0.13258833, -0.13171546, 0.09525975, -0.048105728) * g_9; result += mat4(0.22724295, -0.08324391, 0.0316843, 0.0060743215, 0.010268236, -0.17710914, -0.26217553, 0.052261468, -0.0564278, 0.118447, -0.221497, -0.004723381, -0.082461685, -0.06658231, -0.05635201, -0.16272539) * g_10; result += mat4(-0.19052428, 0.087694265, 0.10222324, 0.11315066, 0.11910176, 0.11697917, 0.093398556, 0.28112432, 0.030032964, -0.0145031605, -0.30618244, 0.058343805, 0.29364142, 0.4507355, -0.012588871, -0.04779493) * g_11; result += mat4(-0.30753234, -0.16848947, -0.027776828, 0.04406865, 0.24091373, 0.30855393, -0.14061853, -0.1889476, -0.013829834, -0.265403, -0.27854362, 0.20213468, -0.012963777, -0.01078832, -0.07769813, -0.21151513) * g_12; result += mat4(0.26133433, 0.17727493, -0.109125234, 0.08433557, 0.072260365, 0.2561018, 0.090859175, -0.07598044, 0.1457562, -0.025295084, -0.021166144, 0.045864385, 0.039569605, 0.20864639, 0.02609065, 0.26301143) * g_13; result += mat4(-0.13943508, -0.13203211, 0.35905635, 0.27272087, 0.18303953, 0.012707511, 0.088180274, -0.14280272, -0.23073225, -0.13123025, -0.0930568, 0.074749425, 0.22671546, -0.22136143, -0.029851126, 0.12233923) * g_14; result += mat4(0.12482134, -0.10828533, -0.079140544, -0.2453333, -0.090807475, 0.0063584484, 0.1211467, 0.062918566, 0.14158563, 0.04865186, -0.047368318, 0.16969171, 0.05705982, -0.06532511, 0.039894924, -0.2492887) * g_15; result += mat4(0.045366418, -0.11773512, 0.3228948, 0.03694021, 0.08063588, 0.15884815, -0.20808393, -0.053136192, 0.12179582, -0.008855191, -0.09951698, 0.052134108, -0.23938279, -0.12222782, -0.12329915, -0.2170608) * g_16; result += mat4(-0.18194616, 0.10244923, 0.05732402, 0.10120477, 0.118554674, 0.006850547, -0.026597708, -0.19694051, -0.040258426, 0.3326919, 0.27358428, -0.22072372, -0.4095388, 0.15311103, 0.14642514, 0.4488546) * g_17; result += vec4(0.048863593, 0.012109077, -0.016607719, 0.037871145); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_12_tf //!BIND conv2d_12_tf1 //!BIND conv2d_12_tf2 //!BIND conv2d_12_tf3 //!SAVE conv2d_14_tf //!WIDTH conv2d_12_tf.w //!HEIGHT conv2d_12_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_12_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_12_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_12_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_12_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_12_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_12_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_12_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_12_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.13730694, 0.09572443, -0.16228959, 0.0539934, 0.015976029, -0.020617478, -0.031389967, 0.086105354, -0.02737102, -0.009822752, 0.079854555, 0.021560928, 0.021912804, -0.05518721, -0.055796772, -0.13649039) * go_0(-1.0, -1.0); result += mat4(0.16258714, -0.1714513, -0.02435225, 0.061715234, 0.075829744, -0.0935106, 0.051781043, 0.027690506, 0.09556227, 0.1269502, 0.1137493, 0.13980514, -0.018691815, 0.075835496, -0.13254827, 0.007191193) * go_0(-1.0, 0.0); result += mat4(0.08184935, -0.086010106, 0.048796415, 0.015115541, 0.035149876, 0.053475354, 0.12256089, 0.06159943, 0.08541651, 0.0065930625, -0.04444402, -0.06579454, 0.16545528, 0.07714567, -0.07318036, -0.0410161) * go_0(-1.0, 1.0); result += mat4(0.052661866, -0.06528621, -0.033377446, 0.03374355, -0.10203855, 0.027142841, -0.009596358, 0.033278905, 0.14031664, 0.12529425, 0.0447338, -0.37799904, -0.18007077, -0.031899042, -0.028458513, 0.0036119984) * go_0(0.0, -1.0); result += mat4(0.019022847, -0.07892097, 0.028167801, -0.03970351, 0.15201952, -0.082866214, -0.07775842, -0.0092036445, 0.0375805, -0.07498207, -0.10523698, -0.07382711, 0.060292613, -0.14215495, -0.0460591, 0.07628205) * go_0(0.0, 0.0); result += mat4(0.039698813, 0.043937914, 0.05321076, 0.07739694, 0.06098655, 0.06888494, -0.07167099, -0.052405626, 0.05308723, -0.18511309, 0.09709155, -0.02147648, 0.11734863, 0.007313008, -0.09469101, 0.076938465) * go_0(0.0, 1.0); result += mat4(0.006754393, -0.0482479, -0.08238743, 0.06375976, 0.04045994, -0.019509573, 0.18255574, 0.09500812, -0.04551239, 0.10516026, 0.1547579, 0.08199154, -0.10011012, -0.10849286, -0.10245379, -0.1411837) * go_0(1.0, -1.0); result += mat4(0.15574688, 0.10194304, 0.1370253, 0.122291274, 0.06903438, 0.028846793, -0.036889754, 0.14082685, 0.0746532, -0.085606076, 0.04378959, 0.04567366, 0.13036871, 0.017091148, 0.0860928, 0.049529802) * go_0(1.0, 0.0); result += mat4(-0.0019084985, -0.030891823, -0.11242672, -0.0028197083, 0.1089532, -0.036664832, -0.08357979, -0.04067862, -0.018984286, -0.08164459, 0.09161135, 0.025528084, -0.024401465, 0.053186838, -0.13926849, -0.09147531) * go_0(1.0, 1.0); result += mat4(0.030601272, 0.020320972, 0.11978473, 0.021981956, 0.0066586067, 0.010468703, 0.08935148, -0.02064418, -0.051966265, 0.13076556, 0.114875935, -0.13965933, -0.06370764, -0.02479983, -0.040174097, -0.051495917) * go_1(-1.0, -1.0); result += mat4(-0.06858974, -0.1011349, 0.05012081, -0.09389995, 0.18634044, -0.02636947, 0.29009673, -0.20761599, -0.18480374, 0.18764408, -0.03863296, -0.001258129, -0.20276432, -0.22974198, -0.011534593, 0.053845435) * go_1(-1.0, 0.0); result += mat4(-0.011961684, -0.0027767534, 0.15667303, 0.014906583, 0.08829907, 0.13073516, 0.12739272, -0.14619562, -0.05524262, -0.044016067, 0.056112796, -0.11271024, -0.15298633, -0.07068307, 0.15127258, -0.059431132) * go_1(-1.0, 1.0); result += mat4(0.0035851684, 0.048734687, 0.058004834, -0.25574937, -0.05717012, 0.027982244, -0.036910195, 0.07176039, -0.1437177, 0.15508057, 0.055488504, 0.08993959, -0.21916981, -0.09351557, 0.059080753, 0.059446696) * go_1(0.0, -1.0); result += mat4(0.121534444, 0.05071775, 0.25775218, 0.100448884, -0.0609293, -0.0032914479, -0.012675448, -0.03919934, -0.048212145, 0.15936059, 0.07263143, -0.15671557, -0.029125307, 0.056486927, 0.09249241, -0.049256064) * go_1(0.0, 0.0); result += mat4(0.13813132, 0.1061218, 0.13439661, 0.013360326, 0.20840476, 0.033466756, -0.02981596, -0.16605316, 0.21835527, 0.20860583, -0.08051366, -0.048786163, -0.15034862, 0.031393945, -0.12630752, 0.03662063) * go_1(0.0, 1.0); result += mat4(0.20240387, 0.11153365, -0.10545571, 0.20638049, -0.030318, -0.013820859, -0.15446675, -0.117573425, 0.020086143, 0.17280579, -0.14882061, 0.054609608, -0.06867725, 0.005472737, -0.001194474, 0.053710196) * go_1(1.0, -1.0); result += mat4(-0.078191735, 0.19296291, 0.094308026, 0.13090765, -0.08120196, -0.025820611, -0.06864976, -0.1892419, 0.04313153, 0.05904389, -0.0666416, -0.0647475, -0.20729442, -0.20761089, 0.12242998, 0.03860268) * go_1(1.0, 0.0); result += mat4(0.3584512, 0.033826537, 0.054210454, 0.0789943, 0.008851024, 0.09464614, -0.12718089, 0.11983708, 0.1720017, -0.020153422, -0.016108112, -0.022643095, -0.112861484, -0.14127043, 0.062141683, 0.039889514) * go_1(1.0, 1.0); result += mat4(0.0535196, -0.03970797, 0.03354509, -0.117369846, -0.14703709, -0.012058039, -0.07475193, -0.06776651, 0.059161127, 0.012486282, 0.28265083, 0.006532838, -0.18549983, 0.008657684, -0.074575126, 0.13438265) * go_2(-1.0, -1.0); result += mat4(-0.039811708, 0.12738322, 0.18482146, 0.021987366, -0.007785863, -0.103660956, -0.25238964, 0.1722417, 0.11030613, -0.013517135, 0.080717966, 0.09645111, 0.02491521, -0.06768416, 0.07801766, -0.0083899405) * go_2(-1.0, 0.0); result += mat4(0.02637314, -0.02295658, 0.009299312, 0.04080987, 0.009788877, -0.06768737, -0.09209687, -0.0064441212, 0.17683631, 0.11308535, 0.120473646, -0.043513045, -0.012239015, -0.11771954, 0.041769065, -0.035535622) * go_2(-1.0, 1.0); result += mat4(-0.02476574, 0.0006269701, 0.031228809, -0.114411384, -0.06647686, 0.044763204, 0.0125348745, 0.06740366, -0.13100466, -0.14606014, 0.05104513, 0.08999373, 0.047833115, -0.027034575, 0.17426285, 0.15505366) * go_2(0.0, -1.0); result += mat4(-0.04584108, 0.026565347, -0.17377949, 0.09393312, 0.24355736, -0.070104554, 0.14847255, 0.03672425, -0.025585584, -0.24469705, 0.18408243, 0.3059801, 0.066561416, 0.05520613, 0.051541686, -0.009497027) * go_2(0.0, 0.0); result += mat4(0.09706289, 0.1355479, -0.10922811, 0.040889144, -0.1304492, -0.1115297, -0.050781623, 0.13141242, 0.20192824, 0.21923521, 0.2232753, -0.04984208, -0.07344629, -0.048347905, -0.06926673, 0.00018091204) * go_2(0.0, 1.0); result += mat4(0.12485469, 0.052772295, -0.11423363, -0.09852666, 0.0133323725, 0.014865848, -0.09087173, -0.0148057, 0.006184697, -0.1351809, 0.20683081, 0.19722891, 0.016914789, -0.047588933, 0.10100042, 0.009027416) * go_2(1.0, -1.0); result += mat4(-0.05893103, -0.037235342, -0.10422848, 0.10374478, -0.08594368, 0.14460947, 0.05852035, -0.11371309, 0.024052324, -0.16274521, 0.04695501, 0.24024189, 0.04611697, -0.04172007, -0.14143556, 0.0947182) * go_2(1.0, 0.0); result += mat4(0.029644629, 0.047125343, 0.043564074, 0.029975709, -0.20870477, -0.054786757, -0.06884723, 0.072272494, 0.15565543, -0.1053078, -0.058403894, 0.16519445, -0.0603395, 0.009007387, -0.11781728, 0.15130705) * go_2(1.0, 1.0); result += mat4(-0.042338666, -0.12772329, 0.051055513, -0.06525264, -0.0040495084, -0.09565801, 0.07052012, -0.08048783, -0.08279771, -0.08353822, -0.04170163, 0.050944712, -0.039810754, -0.061679646, -0.1736554, -0.18661833) * go_3(-1.0, -1.0); result += mat4(-0.1809492, -0.086604275, -0.004732337, 2.8006345e-05, 0.12348477, -0.18016535, 0.06667517, 0.15141962, 0.074052304, -0.0010897494, 0.02608532, -0.084111795, 0.19251096, -0.11398725, -0.10063286, -0.22106121) * go_3(-1.0, 0.0); result += mat4(-0.25605115, -0.15571332, -0.1340056, -0.08346116, 0.09454819, -0.030701093, 0.10532109, -0.12843955, -0.12315552, 0.08900104, 0.01561725, -0.12959191, 0.09758207, -0.112124294, 0.06608123, 0.028534982) * go_3(-1.0, 1.0); result += mat4(0.11170476, -0.0630822, -0.038899932, 0.1342047, -0.021606628, -0.062111627, 0.051371798, -0.08569797, -0.15001743, -0.05062917, -0.17575061, -0.084941536, -0.116146035, -0.15812515, -0.17216232, -0.22350411) * go_3(0.0, -1.0); result += mat4(0.06449703, -0.22082505, -0.16758165, -0.09813526, 0.13100046, 0.011371541, -0.096522264, -0.100944474, 0.043882452, -0.05947248, 0.009845581, 0.17306656, 0.0756555, -0.21856773, 0.09360379, 0.064962044) * go_3(0.0, 0.0); result += mat4(0.10466668, -0.25351757, -0.030175129, -0.07844458, 0.047858343, 0.02165889, 0.17470923, 0.113614105, -0.09934851, 0.085113294, -0.093170576, 0.12370991, 0.0032511167, 0.067286566, -0.0058747306, -0.014485702) * go_3(0.0, 1.0); result += mat4(-0.029907176, 0.060396403, -0.103236124, 0.2610491, -0.053192623, 0.1007005, -0.18771408, 0.1928706, 0.067260295, -0.009832933, -0.009121694, -0.054794073, 0.111395195, -3.396428e-05, -0.016206376, -0.061671183) * go_3(1.0, -1.0); result += mat4(0.053124864, 0.07192942, 0.059849158, 0.081840195, -0.05420444, -0.0019643765, 0.04362153, 0.14748906, 0.0506163, 0.013644277, -0.16886376, -0.006343483, -0.018263722, 0.052267574, 0.059044275, -0.082981944) * go_3(1.0, 0.0); result += mat4(0.13965447, -0.13021067, 0.04670164, 0.086573035, 0.025060145, -0.037466228, -0.04684806, -0.10827496, -0.047038436, -0.0039735837, -0.0730053, -0.016094094, -0.07558495, -0.035218224, 0.08817588, -0.042479306) * go_3(1.0, 1.0); result += mat4(-0.008962302, 0.04630662, 0.018500257, -0.087029375, 0.11477668, 0.10218926, 0.024974326, -0.08728321, -0.12020556, 0.15970382, 0.21653348, 0.10660835, 0.2738671, 0.0997252, -0.108846664, -0.04685405) * go_4(-1.0, -1.0); result += mat4(-0.022257768, -0.064715914, 0.055771556, 0.010960265, -0.20388158, -0.006702773, -0.10523913, 0.041671757, -0.1278118, 0.056031987, -0.14149639, 0.024696268, -0.08956393, -0.032904375, -0.19515826, 0.07697775) * go_4(-1.0, 0.0); result += mat4(-0.0051774043, 0.057510026, -0.0022631476, 0.061950665, -0.2055609, -0.06095393, -0.17338821, 0.13429311, 0.116932675, 0.049505264, 0.1167626, -0.13347769, 0.08006289, -0.17509666, 0.14619496, -0.099814855) * go_4(-1.0, 1.0); result += mat4(0.07875518, 0.029798327, -0.09710777, 0.067920126, 0.03193534, -0.089395255, 0.052021433, 0.15372773, 0.046054084, 0.24912815, -0.025290666, 0.1745077, 0.028125856, -0.042680793, -0.2864328, 0.3608281) * go_4(0.0, -1.0); result += mat4(0.18727463, -0.15704368, 0.08394469, -0.043886885, 0.08093717, -0.14508902, -0.08175545, -0.012856592, 0.090690896, 0.15311036, 0.09262695, -0.20497702, -0.12629865, 0.16602357, -0.12650378, -0.27009165) * go_4(0.0, 0.0); result += mat4(-0.026015654, -0.15421996, -0.006285523, 0.084399685, -0.05706165, -0.11809227, 0.20115097, 0.100516826, 0.04193344, 0.12963672, -0.003606976, 0.26124814, -0.03276488, 0.09699929, 0.006967106, -0.21132018) * go_4(0.0, 1.0); result += mat4(0.13496664, -0.06661801, -0.01474205, -0.16868557, -0.029672602, -0.006720598, -0.117897324, 0.04533316, 0.030741133, 0.1053171, -0.016952176, -0.32376495, 0.070213996, 0.040165827, 0.004966792, -0.2232084) * go_4(1.0, -1.0); result += mat4(0.09690112, -0.07795268, 0.077351056, 0.0152706485, -0.089807846, -0.015780134, -0.17489035, 0.040249743, 0.21050693, 0.1011979, -0.106833994, -0.051176246, 0.017105445, 0.03109709, -0.038326148, -0.01485861) * go_4(1.0, 0.0); result += mat4(-0.057408247, 0.06229008, 0.0030242403, 0.039700616, -0.13085157, 0.020828856, 0.16776583, -0.2604126, 0.07311746, 0.31123817, -0.010544573, -0.13669181, -0.03168772, 0.00608244, -0.10768166, 0.1240025) * go_4(1.0, 1.0); result += mat4(0.038978737, -0.106837034, 0.14167462, 0.041263003, 0.06207514, -0.00715465, -0.02379835, -0.031825457, 0.061413057, 0.0760847, 0.13212702, 0.0336207, -0.13638654, -0.08007447, 0.010262531, -0.0034590475) * go_5(-1.0, -1.0); result += mat4(-0.08324591, -0.044817638, 0.10628384, 0.061015308, 0.07592109, 0.08827193, -0.08403659, -0.20712458, 0.058871835, -0.11746996, 0.16809036, -0.0395111, -0.106638305, -0.039189354, 0.015224756, 0.015626334) * go_5(-1.0, 0.0); result += mat4(-0.047755025, -0.040199798, -0.003975084, 0.028568355, 0.19709164, -0.15811369, -0.06603298, 0.01573683, -0.005953187, -0.050047178, -0.060785852, 0.0508898, 0.009161574, -0.04349141, -0.00926554, 0.009818446) * go_5(-1.0, 1.0); result += mat4(0.11093553, 0.019093536, 0.10260777, 0.055262566, 0.1195068, 0.09863856, -0.18714024, 0.19104338, 0.06376209, -0.034790665, -0.094363205, -0.09618141, -0.0058454727, -0.108213976, 0.12300049, -0.011991122) * go_5(0.0, -1.0); result += mat4(0.04611049, 0.19236325, 0.08004335, -0.15592095, 0.15835464, 0.036216386, 0.036609154, 0.023461621, -0.120403476, -0.12745048, 0.06265683, -0.01600802, 0.16362222, 0.11878418, 0.11366202, -0.10238857) * go_5(0.0, 0.0); result += mat4(0.06759989, 0.033161543, -0.10036328, -0.0098760715, 0.038350176, 0.15091336, 0.010098192, -0.13720898, -0.26202145, 0.001311828, -0.024214303, -0.16074173, 0.22281381, 0.13370523, -0.032966968, -0.062518656) * go_5(0.0, 1.0); result += mat4(0.012291961, -0.068143904, 0.05493764, -0.087144345, 0.073538706, -0.015827144, 0.012285127, -0.07855669, -0.2829798, -0.039494153, 0.23575827, 0.06981807, -0.061576065, -0.1076866, -0.013749979, -0.09326816) * go_5(1.0, -1.0); result += mat4(0.2558642, -0.10623661, -0.23699932, -0.05788955, -0.05908788, -0.1335758, 0.005269156, 0.0074094567, -0.0876448, 0.08961541, 0.20585236, -0.23521425, 0.13892744, 0.056449905, 0.055848006, -0.059444457) * go_5(1.0, 0.0); result += mat4(-0.033819564, -0.026836576, -0.10386869, 0.14426531, -0.14975053, -0.005463496, 0.07058732, -0.028187437, 0.1480432, 0.06334134, -0.11467099, -0.023551162, -0.16923405, 0.0879496, 0.038746398, 0.119617105) * go_5(1.0, 1.0); result += mat4(-0.066057675, -0.05716839, -0.12655802, -0.31106478, -0.05422454, -0.08211238, 0.10340335, 0.094708785, 0.17412704, -0.08796308, 0.032862302, -0.07645405, 0.18197642, 0.11359161, 0.057399232, -0.101643234) * go_6(-1.0, -1.0); result += mat4(0.032984644, -0.151437, -0.15703787, -0.15147786, -0.06443887, -0.14499481, -0.07964961, -0.10063501, -0.06489532, -0.033841714, 0.13743237, 0.07402381, -0.10539726, 0.04741985, -0.06813811, -0.08186571) * go_6(-1.0, 0.0); result += mat4(0.04169854, 0.10285583, 0.20537099, 0.4232497, -0.0102178855, -0.07464401, 0.064116195, 0.06713617, -0.10848632, 0.07029541, 0.061891586, 0.09450866, -0.14710844, 0.10902902, 0.078601316, 0.24068502) * go_6(-1.0, 1.0); result += mat4(-0.17666584, 0.06827289, 0.1803935, -0.21800393, -0.10945116, -0.05033793, 0.043604486, -0.10778255, -0.13906737, -0.1066709, 0.07845706, 0.17276351, -0.31800953, 0.15222964, -0.05974643, 0.24923734) * go_6(0.0, -1.0); result += mat4(0.09485684, 0.07775303, -0.26359668, -0.26235437, -0.014160949, 0.09610528, 0.032751855, 0.009587253, -0.033312347, -0.054030016, 0.100942805, -0.2810844, -0.31456363, 0.29743198, 0.35422295, 0.19903661) * go_6(0.0, 0.0); result += mat4(-0.15256523, 0.052043784, -0.114385866, 0.26754585, 0.14714424, -0.044223707, 0.18718323, 0.16299742, 0.009067459, -0.09861915, 0.058909696, 0.053495083, -0.026219709, -0.0371573, 0.12850215, 0.085496284) * go_6(0.0, 1.0); result += mat4(0.013324529, 0.22692935, -0.110274024, -0.04928268, 0.058278915, -0.003172765, 0.09637179, 0.0031671112, 0.1529764, 0.013240627, -0.047746982, 0.123970434, 0.08522273, 0.044676673, -0.031025682, 0.08779327) * go_6(1.0, -1.0); result += mat4(0.12727101, 0.08387524, 0.12543088, -0.18653108, 0.11925347, -0.077335745, -0.19534324, -0.036191355, -0.03850302, 0.0028999215, 0.09276233, 0.0901103, 0.015147803, -0.12371782, 0.26163867, 0.2604429) * go_6(1.0, 0.0); result += mat4(-0.2130723, 0.019236565, -0.15499762, 0.06025093, 0.042726953, 0.0875672, 0.024576176, 0.09540413, 0.21235454, -0.09488397, 0.019722011, 0.1176617, -0.09731747, -0.027660578, -0.1065942, -0.005856232) * go_6(1.0, 1.0); result += mat4(0.11156219, 0.09702357, -0.035195213, 0.08480061, 0.025406074, -0.13845637, 0.19578338, -0.02658565, 0.094306186, 0.025026903, -0.054557443, -0.02111127, -0.026145646, 0.11951934, -0.023019921, 0.006862455) * go_7(-1.0, -1.0); result += mat4(-0.017856622, 0.0715022, 0.089152284, 0.23237874, 0.062624305, 0.17638148, 0.10636494, -0.05033142, -0.055300098, 0.13743642, 0.09478692, -0.25387746, -0.04399249, 0.089958854, -0.13650721, 0.11658587) * go_7(-1.0, 0.0); result += mat4(-0.011758824, 0.08557066, 0.044390026, 0.0022194844, 0.014199994, 0.045136537, -0.095475696, 0.010693854, 0.052194178, -0.032430097, -0.11542995, -0.038783815, -0.13697112, -0.0808607, 0.0048690503, 0.02350201) * go_7(-1.0, 1.0); result += mat4(0.26391774, -0.06323651, 0.015183379, 0.07485423, -0.017147731, 0.1381914, 0.037845995, -0.104021296, -0.1099861, -0.01835351, -0.15305562, 0.049315173, 0.098395124, -0.04365968, -0.0077367523, -0.059888527) * go_7(0.0, -1.0); result += mat4(-0.058792043, 0.11672284, -0.06516679, 0.2531902, -0.054773577, 0.051864814, -0.13140003, 0.08435319, 0.017941497, -0.0008525759, 0.02973079, 0.027343648, -0.19903877, -0.11735335, 0.025595637, 0.1632998) * go_7(0.0, 0.0); result += mat4(0.22285266, 0.06903356, 0.23277758, -0.022075538, -0.066381, 0.087023556, 0.04032252, -0.124985844, -0.09607507, -0.118496284, -0.16543318, -0.005035066, -0.06618295, -0.117022425, 0.06941833, -0.033855513) * go_7(0.0, 1.0); result += mat4(-0.05111795, -0.046070304, 0.047060743, 0.09478824, 0.025756294, 0.059333634, 0.04922012, 0.094563365, -0.06372419, -0.024169741, -0.12049204, -0.1545189, -0.08127697, 0.01430538, 0.1596365, 0.14503178) * go_7(1.0, -1.0); result += mat4(0.009547742, -0.0052827215, 0.07463234, 0.09285053, -0.19082169, 0.07953675, 0.07934419, 0.106866054, 0.13285162, 0.033329457, 0.05625213, -0.0009985549, -0.06783011, -0.07779119, 0.036950454, -0.1311533) * go_7(1.0, 0.0); result += mat4(0.12313845, 0.09518573, -0.005228664, 0.18021671, -0.0023382735, -0.022417013, 0.14969905, -0.0799508, -0.117919005, -0.043378588, -0.13032569, -0.16071445, -0.09841616, 0.010907256, 0.168342, -0.047372725) * go_7(1.0, 1.0); result += vec4(0.02878389, 0.011853628, 0.04421832, -0.014076957); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_12_tf //!BIND conv2d_12_tf1 //!BIND conv2d_12_tf2 //!BIND conv2d_12_tf3 //!SAVE conv2d_13_tf //!WIDTH conv2d_12_tf.w //!HEIGHT conv2d_12_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_12_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_12_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_12_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_12_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_12_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_12_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_12_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_12_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(0.009639149, -0.0038982404, -0.000950235, -0.042617463, -0.18144657, -0.041786347, 0.09120882, 0.0038534713, 0.008700073, -0.08467945, 0.08520402, 0.077761576, -0.039405044, 0.12381529, 0.03898792, 0.04511578) * go_0(-1.0, -1.0); result += mat4(0.0014207684, 0.07446709, 0.16319937, -0.07770856, -0.09554286, 0.10978643, -0.049450707, 0.064207695, -0.12975316, -0.011036553, 0.087152034, -0.035981875, 0.21567516, -0.013519614, 0.12568897, 0.05585702) * go_0(-1.0, 0.0); result += mat4(0.2250859, -0.07630085, 0.085674696, 0.08418434, -0.027402846, -0.028869295, -0.074562736, -0.045597237, 0.010643633, -0.12091428, 0.034802727, 0.016727531, 0.06755005, 0.019975858, 0.19802167, -0.09351427) * go_0(-1.0, 1.0); result += mat4(-0.03201277, 0.050427675, 0.09706081, -0.089708805, 0.046288054, 0.047746085, -0.020521134, -0.016593749, -0.016695522, 0.00024074932, -0.10998622, 0.010020027, 0.026319914, -0.13093436, 0.09340489, -0.011133997) * go_0(0.0, -1.0); result += mat4(0.06594458, 0.108969614, -0.3391531, 0.15241535, -0.03524658, -0.12494807, 0.07165373, 0.15068692, -0.12112645, 0.035398778, -0.18387815, 0.03840943, 0.10092417, 0.09231077, 0.11415836, -0.09056854) * go_0(0.0, 0.0); result += mat4(-0.10499352, -0.12734324, -0.15330572, 0.18510772, 0.0120012155, -0.08454591, -0.043570805, 0.08853887, 0.004295982, 0.065011546, 0.064469345, -0.023783352, -0.043566104, 0.027954584, 0.08104736, -0.032231607) * go_0(0.0, 1.0); result += mat4(0.10343434, 0.032162443, 0.08311337, -0.060843915, 0.04154088, -0.04438331, 0.042682778, -0.12004948, -0.06710734, -0.06452065, 0.031105455, -0.00583183, 0.009057851, -0.049873523, 0.11332005, 0.03758812) * go_0(1.0, -1.0); result += mat4(0.08962952, -0.056837637, -0.028504362, -0.058604047, -0.09876495, -0.19140477, -0.05717117, -0.2970397, 0.032477252, -0.0597137, -0.02873599, 0.053601198, -0.0019746928, 0.073336996, 0.016864251, 0.10919654) * go_0(1.0, 0.0); result += mat4(0.18142548, 0.10124668, 0.00368281, -0.23038292, 0.07240071, -0.15039761, -0.010341523, -0.11067377, -0.047206733, -0.031967275, -0.02992342, -0.12399463, 0.014134053, -0.027491156, 0.1586509, -0.011076121) * go_0(1.0, 1.0); result += mat4(-0.10831383, 0.03130954, 0.11106777, -0.14316523, -0.15185675, -0.091914624, 0.04525621, -0.09765117, 0.0018873657, 0.1467699, -0.15126435, -0.08295151, 0.053585067, 0.03242634, -0.12851547, -0.014847684) * go_1(-1.0, -1.0); result += mat4(-0.04666656, -0.11540183, -0.0040082233, 0.032173898, -0.006088054, -0.055952623, -0.006328234, -0.020379877, 0.09165287, 0.040902767, -0.1251588, 0.12423666, -0.14924148, 0.12587278, -0.14483361, 0.07241668) * go_1(-1.0, 0.0); result += mat4(-0.08733716, -0.0038874142, 0.03347875, 0.020994259, -0.1411847, 0.04610875, 0.17974979, 0.07831092, 0.042416275, -0.017010015, -0.043574873, 0.01362277, 0.0150662195, -0.060527198, 0.013415603, 0.09190049) * go_1(-1.0, 1.0); result += mat4(-0.047956496, -0.21187243, 0.10645179, -0.029983195, -0.05739006, 0.04807922, -0.023896229, 0.20409703, 0.07719372, -0.13761039, 0.043128423, 0.16602203, 0.1391456, 0.14163828, -0.11660084, 0.1721344) * go_1(0.0, -1.0); result += mat4(-0.08192942, 0.12966244, 0.08534996, 0.004243316, -0.14284796, -0.05193116, -0.115842864, 0.20631583, 0.0077530663, -0.08806305, 0.010341862, 0.093308315, 0.016404482, 0.17783935, -0.012804549, 0.055335052) * go_1(0.0, 0.0); result += mat4(-0.0864709, 0.14595704, 0.122848816, 0.041808892, -0.011105475, -0.15309574, -0.038991075, -0.018167017, -0.0737871, 0.08204525, 0.12244646, -0.018635223, 0.14988273, 0.080346294, 0.14383334, 0.09073764) * go_1(0.0, 1.0); result += mat4(-0.10824354, -0.14525421, 0.10709654, 0.057008598, -0.0274041, 0.060830723, -0.019880934, 0.059121948, 0.13224299, -0.0986574, 0.041039772, 0.031663973, 0.10696096, 0.07072492, -0.056812435, -0.03713634) * go_1(1.0, -1.0); result += mat4(-0.1286229, 0.038206976, 0.2866795, 0.32729703, -0.001265015, -0.050362974, 0.054691862, -0.019820811, 0.015161029, 0.012408566, 0.019214492, -0.043584425, 0.1747071, -0.1806168, 0.0026230705, 0.17746288) * go_1(1.0, 0.0); result += mat4(-0.14500563, 0.07194882, 0.3341538, 0.29419795, 0.018053567, -0.013366127, 0.13004167, -0.12123059, -0.062439676, -0.06531261, -0.032591254, 0.098543815, 0.15538938, -0.02330424, -0.051805083, 0.14865872) * go_1(1.0, 1.0); result += mat4(0.022300392, 0.074889585, 0.07658969, 0.04842954, -0.10574494, -0.06770181, -0.0766897, -0.07461142, 0.09686923, 0.00633828, -0.06368929, 0.036549773, 0.023586588, -0.028077459, 0.1585986, 0.011422953) * go_2(-1.0, -1.0); result += mat4(0.03940578, -0.0339597, 0.10257943, -0.12667413, -0.02898388, 0.07838695, -0.19138049, 0.0014735579, 0.22062407, 0.061582483, -0.13024235, 0.12023966, -0.06983561, -0.011443659, -0.09145462, 0.021667738) * go_2(-1.0, 0.0); result += mat4(-0.12349507, 0.059815507, -0.046543095, 0.030673595, 0.04561801, 0.14247265, -0.105132155, -0.021296836, -0.021644723, 0.2025441, -0.012284828, 0.047515646, -0.09826343, 0.075690396, 0.13212551, -0.023619266) * go_2(-1.0, 1.0); result += mat4(-0.14024511, 0.06597363, -0.0336176, 0.036653478, 0.060431093, -0.10295052, 0.085898645, -0.0044551087, 0.079314135, 0.08170928, -0.18242195, 0.029556789, -0.09011537, -0.09237228, -0.026066486, 0.006826721) * go_2(0.0, -1.0); result += mat4(-0.14503199, 0.03387515, -0.053300664, 0.064943515, -0.020676823, 0.0074872165, -0.018416155, 0.012171563, 0.14327627, -0.13214412, -0.02946512, 0.07235393, -0.10908717, -0.012565086, 0.035278827, 0.17581236) * go_2(0.0, 0.0); result += mat4(0.00934611, -0.11156072, 0.13832138, 0.15502927, 0.0020792482, 0.02049791, 0.04461106, -0.18925, 0.22086848, -0.06498976, 0.19501008, 0.124619834, 0.15347329, -0.0077355206, 0.0038152216, 0.07109297) * go_2(0.0, 1.0); result += mat4(-0.041063566, -0.03631559, 0.087020025, -0.12633711, -0.043662015, 0.13777676, -0.100011535, 0.09353299, 0.026900792, 0.026761487, -0.020541789, 0.1791581, -0.09209707, 0.082125105, -0.08652077, 0.07599723) * go_2(1.0, -1.0); result += mat4(-0.05044385, 0.0059138206, 0.004846873, -0.055986855, 0.035403732, 0.12932262, -0.10948213, 0.059482235, -0.0783685, 0.18257779, -0.014302566, -0.03769118, -0.093388505, -0.029699821, -0.06636151, -0.08418176) * go_2(1.0, 0.0); result += mat4(-0.04013502, 0.0967123, 0.033448823, 0.093523204, 0.11187449, 0.019631773, -0.105332315, 0.16213791, -0.029868113, -0.1064927, 0.19695841, 0.13877009, -0.047273844, -0.01044426, -0.08446086, -0.0458913) * go_2(1.0, 1.0); result += mat4(-0.0741451, 0.042197462, -0.08023183, 0.09765462, 0.054821562, 0.08290217, -0.023233455, -0.14262572, -0.15324473, -0.014632389, -0.06739699, 0.15956666, 0.034347642, 0.054041438, -0.07310525, 0.0035158119) * go_3(-1.0, -1.0); result += mat4(0.08562873, 0.0022956019, 0.011018242, 0.027326696, 0.09330304, -0.039874583, 0.024133299, -0.08445561, 0.019993046, -0.063240565, -0.054243866, 0.124074, -0.074563324, -0.1390738, 0.0820039, -0.23211582) * go_3(-1.0, 0.0); result += mat4(0.078051165, -0.12620433, -0.03478548, 0.09409214, 0.1526626, -0.041634113, 0.2237483, -0.15523861, 0.07555192, 0.034417253, -0.12693669, 0.018821344, -0.036353048, -0.013764508, 0.100658715, -0.020644104) * go_3(-1.0, 1.0); result += mat4(0.011323663, 0.07608287, 0.00851126, 0.09341987, -0.029945532, 0.10300047, 0.0074313437, -0.19487564, 0.0011054972, -0.15525223, 0.21401389, -0.10354629, -0.04318926, 0.12821019, 0.032365642, 0.032030214) * go_3(0.0, -1.0); result += mat4(0.007591815, 0.012629317, -0.19445145, -0.08644862, -0.030899128, -0.010336647, 0.06901035, 0.053609345, -0.13558851, 0.055843044, -0.19542934, 0.27220258, -0.10258334, 0.08873226, 0.100590244, -0.13569663) * go_3(0.0, 0.0); result += mat4(0.047885086, 0.01407929, -0.05241635, -0.07852867, 0.034674972, 0.10237697, -0.080549136, -0.15041627, -0.025430735, 0.0479369, 0.037376665, 0.025655257, -0.0355407, 0.050879892, -0.07782001, -0.032121796) * go_3(0.0, 1.0); result += mat4(0.18598914, 0.17488232, 0.04308569, -0.113249674, 0.18825708, -0.025347264, -0.03777555, 0.055674437, -0.050593246, -0.07975001, 0.06947618, 0.007018156, -0.014732591, -0.079240546, 0.10789699, -0.19743954) * go_3(1.0, -1.0); result += mat4(-0.038231947, 0.016942957, 0.028590739, -0.090752594, 0.038188618, 0.021015111, 0.016965266, -0.03435059, -0.01212547, 0.015248877, 0.11611426, 0.123496845, -0.04629721, 0.06697021, -0.19438337, 0.05686309) * go_3(1.0, 0.0); result += mat4(-0.05551822, -0.008124752, 0.05373102, 0.08483395, -0.0006295456, -0.102434106, -0.059557695, 0.0052035716, -0.008159529, -0.12018468, -0.019952172, -0.08871863, 0.024393221, 0.012160636, 0.00085074763, -0.031381) * go_3(1.0, 1.0); result += mat4(0.052483644, -0.10067336, 0.007827775, 0.04217924, 0.05370174, 0.053045593, -0.021322401, -0.057574254, -0.15052581, -0.054354582, 0.010731893, -0.084049575, 0.08664663, 0.008586996, -0.067191415, -0.013433542) * go_4(-1.0, -1.0); result += mat4(-0.07656686, -0.026798321, -0.0035791546, 0.1813216, 0.12657459, -0.08586928, -0.14434212, 0.100000456, -0.17489576, -0.059281647, -0.16410424, 0.07507215, -0.17735171, -0.15760069, -0.029753244, 0.06384127) * go_4(-1.0, 0.0); result += mat4(-0.0826688, 0.09742932, 0.034533966, -0.0460573, -0.11716473, 0.03802808, 0.12547252, 0.08928232, -0.14233275, -0.012195422, -0.02531116, 0.043976627, -0.06876278, -0.0810813, 0.18094346, -0.023339571) * go_4(-1.0, 1.0); result += mat4(-0.005550866, -0.14349146, -0.12596409, -0.044651084, 0.087609954, -0.12565547, -0.22447549, 0.09360963, -0.02317106, -0.0005260532, 0.085363105, -0.09604336, 0.09518486, 0.018432705, -0.18793124, 0.07429292) * go_4(0.0, -1.0); result += mat4(-0.104204915, -0.051323626, 0.06698747, 0.041701533, -0.15290372, 0.021271959, 0.091065526, -0.08150357, -0.018144151, -0.152379, 0.03481493, 0.07758276, 0.048658404, 0.018046448, 0.07488417, 0.224359) * go_4(0.0, 0.0); result += mat4(0.089659564, -0.087014616, -0.04502746, -0.037926767, -0.10490111, 0.08001486, 0.1122022, -0.17835194, 0.04582323, 0.09560471, -0.20311408, -0.09920451, -0.07066689, 0.05220927, -0.005073715, -0.11543198) * go_4(0.0, 1.0); result += mat4(-0.020940287, -0.08553711, 0.02721499, 0.06101611, 0.038569175, 0.03166766, -0.16536324, -0.040709663, -0.24566115, 0.03939649, 0.13328575, 0.103327386, -0.085061535, -0.23112987, 0.023643477, 0.053550832) * go_4(1.0, -1.0); result += mat4(-0.07766694, -0.02958393, -0.10941775, -0.029797763, -0.09903559, 0.06466456, -0.0037769163, 0.12833694, -0.14952287, -0.09172456, -0.026234943, 0.09768058, -0.0046768547, 0.05787786, -0.020349951, -0.22735849) * go_4(1.0, 0.0); result += mat4(0.103295185, 0.07010887, 0.06500701, -0.121797815, 0.06688264, 0.045738444, -0.006048553, 0.070973165, 0.038500775, -0.06096765, -0.02083498, -0.02247928, 0.079471394, 0.17344089, -0.03399603, -0.061526738) * go_4(1.0, 1.0); result += mat4(-0.07608997, -0.07450355, -0.007454942, -0.028890591, 0.11185288, 0.003963864, -0.021245597, -0.02870811, 0.15497267, -0.1021612, -0.006275503, 0.059440117, -0.01191032, -0.015024686, -0.04264744, 0.03784974) * go_5(-1.0, -1.0); result += mat4(-0.04255224, -0.041475482, 0.05568204, 0.050781105, -0.052326836, -0.00050962373, -0.070848726, -0.05095658, 0.09177018, -0.0071918922, 0.0076208673, -0.16307355, 0.26428407, 0.029546542, -0.038873114, 0.049068365) * go_5(-1.0, 0.0); result += mat4(0.08395406, -0.09043276, -0.061525855, -0.05533077, -0.02462208, 0.10786481, -0.030796457, -0.094646156, 0.022507463, 0.13190217, 0.15948486, -0.07191217, 0.07654077, -0.016571704, -0.10635289, -0.12771434) * go_5(-1.0, 1.0); result += mat4(0.20890597, 0.042703193, 0.11934406, -0.068621606, 0.19478202, -0.22793923, -0.08700698, -0.051709924, -0.12904456, -0.036816675, -0.13506871, -0.1441102, 0.18136409, -0.04663707, 0.023695884, 0.10738338) * go_5(0.0, -1.0); result += mat4(-0.0077736047, -0.050436057, 0.052196283, 0.021431614, 0.09436767, -0.15021068, 0.012207774, -0.11543215, 0.03382365, 0.08989429, -0.1512068, 0.014381187, 0.15813205, -0.0106526185, 0.069779254, -0.047933288) * go_5(0.0, 0.0); result += mat4(-0.040429626, -0.09228546, 0.067300335, -0.050324153, -0.12237185, -0.005077286, 0.10356324, 0.08864007, 0.14282528, 0.00388525, 0.041097626, -0.00031747436, -0.07723348, 0.053238407, 0.029446052, -0.08864969) * go_5(0.0, 1.0); result += mat4(0.023686264, 0.08331933, -0.039449427, -0.014959959, 0.14075331, -0.015477129, -0.14249621, -0.03923339, -0.15062886, 0.09447539, -0.047904875, -0.048168503, 0.004206913, -0.047516745, -0.08620613, 0.11478539) * go_5(1.0, -1.0); result += mat4(-0.15785892, 0.0016641589, 0.054308683, 0.078738764, 0.03644378, -0.043989647, -0.23225886, -0.028951952, 0.12305073, 0.034319617, 0.063887954, 0.30429685, -0.0674872, -0.014318411, -0.075369544, -0.10330481) * go_5(1.0, 0.0); result += mat4(0.05397921, 0.00084955874, 0.045667082, -0.05417764, -0.021353342, 0.046038885, -0.058720488, -0.1322894, -0.03535338, -0.06338738, 0.03697614, 0.19055063, 0.10346999, 0.019249164, -0.063068286, 0.05991159) * go_5(1.0, 1.0); result += mat4(-0.16993704, -0.121817954, -0.068771094, -0.093197905, 0.023346378, 0.04720914, -0.012925106, 0.052896366, 0.035280302, 0.08439714, 0.09756478, -0.0689576, 0.014461433, 0.36325473, 0.0059230574, 0.119897366) * go_6(-1.0, -1.0); result += mat4(-0.061328445, -0.084383406, 0.140687, -0.052830886, -0.19621404, 0.049339704, 0.097477786, 0.040443562, 0.02491262, 0.08539904, 0.0037707782, -0.10327091, -0.18353617, 0.12956996, 0.07299752, 0.03221227) * go_6(-1.0, 0.0); result += mat4(0.099849336, -0.0030822768, 0.09948366, -0.09262815, 0.005154421, 0.017867574, 0.04436232, -0.11582937, 0.12381722, 0.008043948, 0.018097827, -0.01493066, 0.19907461, 0.07169137, -0.10570496, -0.023753323) * go_6(-1.0, 1.0); result += mat4(-0.13449772, -0.08731747, 0.007594631, 0.047381114, -0.08820047, 0.03528644, 0.018318443, 0.10107897, -0.06938975, -0.046471428, -0.020976078, 0.03441364, 0.040995363, 0.076138265, 0.17306629, -0.15272485) * go_6(0.0, -1.0); result += mat4(-0.040097646, -0.19255275, 0.11918789, -0.10042692, 0.066699795, -0.21395916, -0.19686851, -0.03610402, -0.15390179, 0.095026605, 0.10847023, 0.09153435, 0.092816375, 0.39089674, -0.07198312, -0.07213701) * go_6(0.0, 0.0); result += mat4(0.18701003, 0.20726307, -0.06296938, 0.046546813, 0.10833181, -0.010530105, 0.10806227, 0.025746476, 0.007955516, 0.035664618, -0.10563672, 0.07682432, 0.06649218, -0.048704594, 0.029186353, 0.17028451) * go_6(0.0, 1.0); result += mat4(-0.016500747, -0.05593024, -0.040827576, 0.043642387, -0.017343521, -0.014898818, 0.012727514, -0.061562564, -0.004637191, -0.03331617, 0.020227065, -0.03502501, 0.023354309, -0.2833901, 0.24159743, 0.15924545) * go_6(1.0, -1.0); result += mat4(0.045860395, -0.085586816, 0.14444515, -0.14926824, 0.036471445, -0.08628815, -0.040382892, -0.09526737, 0.02248159, 0.08855503, 0.04053488, -0.0646117, -0.08404396, -0.018245775, 0.14743677, -0.08093212) * go_6(1.0, 0.0); result += mat4(0.19665717, -0.063776046, -0.07914273, -0.101823136, 0.074716374, -0.0081710825, -0.072673425, -0.023794344, -0.045717727, -0.0072561842, 0.00880925, 0.10889137, 0.28553, 0.041376498, 0.10031953, -0.053196393) * go_6(1.0, 1.0); result += mat4(0.058159113, -0.016123742, -0.040074885, -0.038218047, 0.002453882, -0.04483796, 0.0026933532, -0.018928505, 0.090848856, -0.052964754, 0.103885755, 0.08822124, -0.007740776, -0.008643374, 0.04387468, -0.0057572736) * go_7(-1.0, -1.0); result += mat4(-0.0084681, 0.05910616, -0.001957422, -0.09665248, 0.012324636, 0.102279514, 0.06271529, -0.00034822398, 0.12200529, 0.1406025, 0.11727222, -0.0012732374, 0.039069153, -0.116325095, -0.061304893, 0.08860798) * go_7(-1.0, 0.0); result += mat4(-0.010817937, 0.05053197, 0.07127862, 0.071622476, -0.08677775, -0.07592008, -0.083137125, 0.07795782, -0.09153038, -0.051893257, -0.01434632, -0.006406496, -0.07038631, 0.011519815, 0.003298223, -0.018880721) * go_7(-1.0, 1.0); result += mat4(0.108540215, -0.11548324, -0.025263477, -0.09077007, -0.12751491, -0.045055117, -0.07248591, 0.017866008, 0.03721452, 0.022656098, 0.101389855, 0.17055717, -0.058076404, -0.040419124, -0.11432533, -0.037566364) * go_7(0.0, -1.0); result += mat4(0.09876384, 0.12987193, 0.12171421, 0.014026945, 0.10515426, 0.028641013, -0.031601854, 0.030440113, 0.049359053, -0.08800547, 0.0854042, 0.018510768, 0.14893699, 0.05856994, 0.049679566, -0.1422863) * go_7(0.0, 0.0); result += mat4(-0.024617737, -0.048034295, 0.041004565, 0.16694058, -0.087675445, -0.13464865, 0.020481937, 0.13655907, 0.023696382, 0.057758246, 0.08800533, -0.07602074, 0.038965706, -0.010369045, -0.048242304, -0.037163552) * go_7(0.0, 1.0); result += mat4(-0.055520747, -0.050512962, -0.0811104, 0.12796733, 0.03975134, 0.008006016, 0.051304568, -0.028837964, 0.040738724, -0.041288063, 0.096619, 0.0035735967, 0.0017250563, 0.16457585, -0.06661859, 0.003944026) * go_7(1.0, -1.0); result += mat4(-0.020751026, -0.027768351, 0.1756595, 0.07444893, 0.059397127, 0.15285788, 0.078808025, -0.059350044, -0.019066172, 0.013111508, 0.04378732, -0.12025232, 0.030088948, 0.07998034, 0.06673197, 0.21354596) * go_7(1.0, 0.0); result += mat4(-0.13661024, -0.017206049, 0.001673235, -0.053352535, -0.09720139, -0.010726428, -0.06063081, -0.012507998, 0.0019330509, 0.030889131, 0.0007580833, 0.11350111, -0.033315495, -0.097962864, -0.056640666, 0.06880053) * go_7(1.0, 1.0); result += vec4(-0.050349966, 0.007465336, 0.0047519095, 0.03447193); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x80 //!HOOK MAIN //!BIND conv2d_12_tf //!BIND conv2d_12_tf1 //!BIND conv2d_12_tf2 //!BIND conv2d_12_tf3 //!BIND conv2d_14_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!SAVE conv2d_15_tf //!WIDTH conv2d_12_tf.w //!HEIGHT conv2d_12_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_12_tf_tex(conv2d_12_tf_pos)), 0.0)) #define g_1 (max((conv2d_12_tf1_tex(conv2d_12_tf1_pos)), 0.0)) #define g_2 (max((conv2d_12_tf2_tex(conv2d_12_tf2_pos)), 0.0)) #define g_3 (max((conv2d_12_tf3_tex(conv2d_12_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_12_tf_tex(conv2d_12_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_12_tf1_tex(conv2d_12_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_12_tf2_tex(conv2d_12_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_12_tf3_tex(conv2d_12_tf3_pos)), 0.0)) #define g_8 (max((conv2d_14_tf_tex(conv2d_14_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_14_tf_tex(conv2d_14_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.113152556, -0.17597556, -0.20193578, -0.16201825, -0.08261954, -0.09107908, 0.044691782, 0.096718885, -0.092856266, -0.32485804, 0.15855914, 0.107594654, -0.049829155, -0.39206952, -0.17158785, -0.23730572) * g_0; result += mat4(-0.071358085, 0.05543187, 0.22816211, -0.15256211, 0.001002783, -0.097697146, 0.1485318, 0.3147081, -0.015470234, 0.1159168, -0.087412134, 0.025953531, 0.10858151, 0.04679302, 0.0035066542, 0.080319606) * g_1; result += mat4(-0.093644544, 0.15760094, 0.13644949, 0.15050913, 0.010754489, 0.21110971, 0.11982236, -0.027942248, 0.07777082, -0.05871466, 0.18935864, 0.26278642, -0.17607118, -0.24569197, -0.17914876, 0.011594047) * g_2; result += mat4(0.07215027, 0.07955528, -0.1192735, -0.24221008, -0.16430855, 0.31650412, -0.23902535, -0.14772269, -0.18149576, 0.1425237, 0.19313167, -0.25584412, -0.116279155, -0.0810948, -0.06305671, 0.31891116) * g_3; result += mat4(0.06337334, -0.0032687138, -0.035707716, -0.28104553, 0.12251401, 0.14867608, -0.28116974, -0.2499687, 0.16777486, 0.27506724, 0.1349104, 0.21004717, 0.2722905, -0.10366932, -0.089448065, 0.054238733) * g_4; result += mat4(0.2623722, -0.06399301, 0.26491323, 0.09354902, -0.15800871, 0.11810623, 0.01566208, -0.026193254, -0.22059508, -0.09398052, -0.15558046, 0.1636607, -0.24724618, -0.025115723, -0.03819038, -0.089232855) * g_5; result += mat4(-0.049244456, -0.2812487, -0.15883873, -0.1873005, -0.12443533, 0.26619563, 0.006807127, -0.18589701, -0.23903847, -0.04840708, -0.19155607, -0.3244167, 0.029380817, -0.073488645, 0.04205761, 0.12826183) * g_6; result += mat4(0.060077637, 0.21867147, -0.08562434, 0.12142833, -0.103506744, 0.015023599, -0.012361518, 0.39705324, 0.20116816, -0.1352389, -0.08270523, 0.08666531, 0.03978398, 0.012456996, 0.16741525, -0.03339209) * g_7; result += mat4(0.27487412, -0.2183994, -0.22064212, -0.18507382, 0.09653221, -0.31412682, -0.020428544, 0.15572692, -0.1708959, -0.09906218, -0.24475281, -0.07649422, -0.06725418, -0.1632794, -0.042570926, 0.15362686) * g_8; result += mat4(0.25352266, 0.078569, -0.06491825, 0.0024975773, -0.2520004, -0.14971292, 0.2396663, -0.10596094, -0.16498, -0.1615543, 0.03212853, 0.022647707, 0.11449023, -0.12597407, -0.3845188, -0.6042289) * g_9; result += mat4(-0.09472388, 0.09383272, -0.113919444, 0.06324396, -0.18574698, -0.017954197, 0.102970116, -0.036133416, -0.14566462, 0.106732786, -0.1981579, 0.08657682, 0.023193007, -0.26844215, -0.044777893, 0.1802785) * g_10; result += mat4(0.11824268, 0.060186915, -0.09982153, 0.054944858, -0.06390667, -0.12343378, 0.06823325, -0.05481055, -0.160094, -0.041776497, -0.093563, -0.18349311, -0.014049265, 0.24608798, -0.022140604, -0.14207092) * g_11; result += mat4(0.13720459, 0.07687791, -0.060669206, 0.11711911, -0.19655584, -0.008325822, 0.28701362, -0.03874219, -0.080647625, 0.08374782, 0.08991399, 0.1254085, -0.06939809, 0.10815167, -0.07602521, 0.003993563) * g_12; result += mat4(0.050552983, 0.3398467, 0.21439157, 0.07090537, 0.003626732, -0.013387389, -0.16702957, -0.023790954, -0.22492494, -0.17196465, 0.020361913, 0.028113617, 0.08070967, 0.06335804, 0.1024209, -0.07302465) * g_13; result += mat4(-0.06452998, -0.19448164, 0.068943985, 0.26658177, 0.03672322, -0.042712092, -0.14239077, 0.026480686, -0.0026813857, 0.07805945, 0.10659483, 0.25577578, 0.14431271, 0.26420194, -0.057292048, 0.14447866) * g_14; result += mat4(0.17443675, -0.10127553, -0.08078197, -0.13357292, 0.080379255, -0.0743335, 0.15775783, 0.042903706, -0.2730787, 0.0143810455, -0.100053966, 0.04868161, -0.17388023, -0.27480134, 0.17716847, 0.09831684) * g_15; result += mat4(-0.009394652, 0.05770814, 0.12612171, -0.07125733, 0.039110083, 0.18584593, 0.34637934, 0.1997804, -0.034237277, -0.2637098, -0.2565544, 0.18495636, 0.16258357, 0.051936973, -0.2022921, 0.025638767) * g_16; result += mat4(0.0264838, 0.34137276, 0.05243436, 0.0092191165, -0.22356755, -0.06718224, -0.07905385, -0.10482739, 0.26888105, -0.0944922, 0.11656137, -0.025189193, -0.21240412, -0.0740068, 0.3606278, 0.117385626) * g_17; result += mat4(0.24394973, -0.33353502, -0.20044908, -0.047943193, 0.26528633, 0.18467769, -0.118773505, 0.19762191, 0.008643024, 0.27267835, 0.110893816, -0.097346835, 0.35045865, 0.27740118, 0.12889476, -0.013060394) * g_18; result += mat4(-0.0465528, 0.05087261, -0.12176598, -0.26143193, -0.012329495, 0.12112426, -0.25950795, -0.06628347, -0.18653181, -0.003041955, -0.093980595, 0.10332955, -0.29503638, -0.011706522, -0.37699062, 0.18755646) * g_19; result += vec4(-0.015548932, 0.0007181281, 0.032181147, 0.046147745); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x80 //!HOOK MAIN //!BIND conv2d_12_tf //!BIND conv2d_12_tf1 //!BIND conv2d_12_tf2 //!BIND conv2d_12_tf3 //!BIND conv2d_14_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!SAVE conv2d_15_tf1 //!WIDTH conv2d_12_tf.w //!HEIGHT conv2d_12_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_12_tf_tex(conv2d_12_tf_pos)), 0.0)) #define g_1 (max((conv2d_12_tf1_tex(conv2d_12_tf1_pos)), 0.0)) #define g_2 (max((conv2d_12_tf2_tex(conv2d_12_tf2_pos)), 0.0)) #define g_3 (max((conv2d_12_tf3_tex(conv2d_12_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_12_tf_tex(conv2d_12_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_12_tf1_tex(conv2d_12_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_12_tf2_tex(conv2d_12_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_12_tf3_tex(conv2d_12_tf3_pos)), 0.0)) #define g_8 (max((conv2d_14_tf_tex(conv2d_14_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_14_tf_tex(conv2d_14_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.06566936, 0.050075732, -0.28377536, -0.008723959, -0.15360966, 0.017306754, 0.14521429, -0.3126355, -0.07001781, 0.24416047, 0.23609962, 0.095428005, 0.051152043, 0.047046803, -0.11905595, 0.084599525) * g_0; result += mat4(-0.054007493, -0.1917774, -0.12253726, -0.25697917, -0.13300818, -0.014515598, -0.06988327, 0.07294474, -0.17037617, -0.11330418, 0.15588778, -0.0024750067, 0.18527855, 0.16439237, 0.13763049, 0.14903007) * g_1; result += mat4(-0.06097875, 0.017688967, 0.084205635, -0.20286436, 0.06378928, 0.051785655, -0.00819132, 0.2283147, -0.0010928598, 0.19555786, -0.057957973, -0.1283918, 0.0130625125, 0.24465637, -0.029474005, -0.08648904) * g_2; result += mat4(0.2977628, -0.21103969, -0.046574663, 0.15004829, -0.22748028, -0.048065472, -0.25989944, 0.2236256, 0.07941025, -0.052161288, 0.04335678, -0.24627966, 0.07268186, -0.038388748, 0.035197932, 0.05556185) * g_3; result += mat4(-0.12658507, -0.200711, 0.10936925, 0.21350707, -0.05308915, -0.08038389, -0.21488698, 0.12463842, -0.039825447, -0.061766982, -0.16644825, -0.13220729, 0.12675424, -0.3512296, -0.28100672, -0.002683097) * g_4; result += mat4(0.16233717, 0.05970525, 0.028119681, -0.087842815, -0.06486345, -0.06930576, -0.15099292, -0.085598275, -0.11941735, -0.19621682, -0.19929451, -0.12694003, -0.23668842, -0.3260459, -0.1669464, 0.21992308) * g_5; result += mat4(-0.15114589, 0.3370156, 0.11051971, 0.15529542, -0.1644359, 0.03944235, -0.04013774, -0.07215706, 0.20360462, 0.083222464, 0.12099312, 0.02515875, -0.087714344, 0.13805264, -0.14398378, -0.27612263) * g_6; result += mat4(-0.07686366, 0.061692268, -0.017847976, -0.16373406, -0.06558452, 0.07674664, 0.11457862, -0.21175413, -0.21797107, -0.31008083, -0.016061796, 0.010659135, -0.0031505653, -0.06681698, -0.19412144, 0.16077086) * g_7; result += mat4(0.043644525, -0.02776246, 0.14185701, -0.027494097, -0.06645238, -0.19521286, -0.3502527, -0.028178494, -0.032492533, -0.32320002, 0.15325007, -0.3127702, 0.12887025, 0.18266484, -0.08985129, -0.34389883) * g_8; result += mat4(-0.05747523, -0.12848844, 0.19728723, -0.108118065, 0.056262556, 0.26523066, -0.17712027, 0.31646273, 0.058449365, 0.38118544, -0.08126795, 0.16811565, -0.024995815, -0.009981597, -0.047409683, 0.18652919) * g_9; result += mat4(-0.001337023, -0.32653907, 0.24057804, 0.18893267, 0.044070523, 0.25686195, -0.0058101956, 0.19947663, 0.31318483, 0.12546687, -0.04676781, 0.1793074, -0.19815332, -0.017479869, 0.2998801, -0.011709262) * g_10; result += mat4(0.021966469, 0.045877025, -0.22806744, 0.10764939, -0.13102953, -0.096345, 0.0801237, -0.21132103, -0.44632608, 0.02980375, -0.37176967, -0.2655013, 0.27665234, -0.29347885, 0.041475385, 0.024725065) * g_11; result += mat4(-0.21308075, 0.041253224, -0.109849155, -0.20893334, 0.09030459, 0.19662417, -0.100110866, -0.20908715, -0.060150456, 0.30329007, 0.18626331, 0.14155315, 0.07804046, -0.0916941, 0.27937013, -0.1512788) * g_12; result += mat4(0.13618731, -0.14704673, -0.071122654, 0.019604936, 0.1254093, -0.016677566, -0.087662145, -0.08561128, 0.16301125, 0.1387518, 0.10387402, 0.25537175, 0.07070756, -0.10887832, 0.028897746, 0.17835346) * g_13; result += mat4(-0.08490608, 0.026569808, -0.3456361, 0.020109842, -0.18946368, -0.12816896, 0.04407577, 0.029665362, 0.003496549, -0.31034058, 0.023039173, -0.016018149, -0.20683154, 0.23216362, 0.32729226, -0.12827688) * g_14; result += mat4(0.013153797, 0.027919725, 0.36677372, 0.12828171, 0.3900067, 0.2961308, -0.16830838, -0.07397908, 0.1868292, 0.09739989, -0.10895602, -0.19859214, -0.1334346, -0.19208196, 0.28900802, -0.06582624) * g_15; result += mat4(0.03638428, 0.035884462, -0.16868213, -0.038831823, -0.14761804, -0.08772457, 0.12720594, -0.045940604, 0.037369534, -0.02216757, 0.12334018, 0.08524158, -0.06456619, 0.017709045, 0.08379434, -0.2587099) * g_16; result += mat4(-0.14868304, 0.255881, -0.17220873, 0.1882922, -0.11029569, 0.05895402, 0.2143255, 0.18148275, 0.020576546, -0.10496286, -0.19348511, -0.11536339, 0.14612065, 0.27825454, -0.073165655, -0.20478225) * g_17; result += mat4(0.11683568, 0.05585525, -0.31354317, -0.060689308, -0.3203063, 0.116788305, -0.14543387, -0.02960584, 0.06610334, -0.11565926, -0.01838577, -0.33486378, 0.055412084, -0.2405772, -0.24344021, 0.23109037) * g_18; result += mat4(0.36880726, 0.042794302, 0.38861996, 0.15946254, -0.15122825, 0.3142487, -0.17530881, -0.07510673, 0.0400742, 0.1710061, -0.21697284, 0.26265535, 0.17539124, -0.04652943, 0.14543319, -0.32873863) * g_19; result += vec4(-0.003596251, -0.00022212608, -0.010425431, 0.014811408); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x80 //!HOOK MAIN //!BIND conv2d_12_tf //!BIND conv2d_12_tf1 //!BIND conv2d_12_tf2 //!BIND conv2d_12_tf3 //!BIND conv2d_14_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!SAVE conv2d_15_tf2 //!WIDTH conv2d_12_tf.w //!HEIGHT conv2d_12_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_12_tf_tex(conv2d_12_tf_pos)), 0.0)) #define g_1 (max((conv2d_12_tf1_tex(conv2d_12_tf1_pos)), 0.0)) #define g_2 (max((conv2d_12_tf2_tex(conv2d_12_tf2_pos)), 0.0)) #define g_3 (max((conv2d_12_tf3_tex(conv2d_12_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_12_tf_tex(conv2d_12_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_12_tf1_tex(conv2d_12_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_12_tf2_tex(conv2d_12_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_12_tf3_tex(conv2d_12_tf3_pos)), 0.0)) #define g_8 (max((conv2d_14_tf_tex(conv2d_14_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_14_tf_tex(conv2d_14_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.29968667, -0.2054413, -0.42633036, 0.06540815, 0.25410962, -0.064704284, 0.15351892, 0.15098672, -0.060556993, 0.15943852, -0.2327252, -0.15252773, -0.27296653, -0.023351386, 0.01709797, 0.17157109) * g_0; result += mat4(0.21247834, 0.16731767, -0.23244476, 0.033929322, 0.12147452, 0.15835738, 0.20386045, 0.0099615855, 0.11954695, -0.0007262615, 0.25783026, 0.2163411, 0.2006933, -0.2897014, 0.22469328, -0.037531313) * g_1; result += mat4(-0.075687766, -0.0587827, -0.26173526, 0.014225498, -0.069109224, 0.19879107, 0.26262647, 0.1933589, 0.17341125, -0.075728156, 0.32497543, -0.12600474, -0.07275422, 0.032364674, 0.26471478, 0.18148176) * g_2; result += mat4(-0.19684902, -0.12419164, -0.15366356, 0.035451632, -0.1676133, 0.30628285, 0.013135715, 0.0828437, 0.24747711, 0.111026585, -0.3899608, 0.040306747, -0.14160432, 0.11833543, 0.07778105, 0.019718869) * g_3; result += mat4(-0.22168091, 0.27330446, 0.25358558, -0.13290156, -0.035276677, 0.0024858087, -0.055826478, -0.2468239, -0.008866367, -0.05784767, -0.01706684, 0.07295643, 0.1302385, -0.08386059, -0.02501015, 0.07468001) * g_4; result += mat4(0.042352963, 0.0657346, 0.13386852, 0.11897824, -0.12557411, -0.05947027, -0.16942193, -0.250491, 0.05414618, 0.28099364, -0.023707846, -0.40636906, -0.028787367, -0.13474262, 0.16070609, 0.31273147) * g_5; result += mat4(-0.13678479, 0.19962284, -0.26247823, -0.23762986, 0.06520537, -0.03368567, -0.16694795, -0.14713484, -0.01582234, -0.063183546, 0.24840857, 0.11376298, 0.0037960846, -0.16444042, 0.013803154, -0.030848777) * g_6; result += mat4(-0.06552558, 0.01993205, 0.18481286, -0.12726143, -0.23085758, -0.20116006, 0.10603243, -0.10200674, -0.16622123, 0.107850745, -0.19173287, 0.060454354, -0.0027331826, 0.20100433, 0.11314092, -0.05037935) * g_7; result += mat4(-0.14448921, 0.29943776, -0.020892464, 0.37468755, 0.122420244, 0.3393939, -0.15974823, -0.16213733, -0.21092644, -0.1603829, 0.197158, -0.008338081, 0.23865728, 0.03966763, 0.025320457, -0.1346732) * g_8; result += mat4(0.37890595, -0.121016815, 0.0532523, -0.513218, 0.039289672, -0.15242423, 0.043490604, -0.19230618, -0.07929196, -0.09307486, -0.034099534, -0.19038978, -0.20650864, 0.12007891, -0.103319936, 0.090364404) * g_9; result += mat4(-0.13087903, -0.26987913, -0.17999482, -0.08381556, 0.010039951, 0.0047134277, -0.11918671, -0.11301866, 0.2314213, 0.2650823, -0.039580453, -0.31289777, 0.07591129, -0.21344167, 0.031197479, 0.25037217) * g_10; result += mat4(0.07539192, -0.11289182, -0.035013635, -0.0049591977, -0.062005084, -0.016576197, 0.033936746, -0.09773915, -0.393588, 0.045551285, 0.049009543, 0.040800996, -0.08324719, -0.14489968, 0.03073572, -0.2191878) * g_11; result += mat4(0.19480848, 0.007287647, 0.10993567, -0.31089494, -0.23149367, -0.154109, -0.0038248543, -0.15359117, 0.051747542, 0.007752202, -0.12192655, 0.023507293, 0.017773356, -0.280811, 0.20664506, 0.020295167) * g_12; result += mat4(0.15923792, -0.023258807, 0.09257097, 0.08763583, -0.0037047588, 0.32919067, 0.22631034, 0.14352241, -0.05482676, 0.19056046, 0.017488375, 8.430863e-05, -0.021616697, -0.038389638, -0.22182924, -0.21699542) * g_13; result += mat4(0.010522319, -0.066425666, -0.12642634, 0.12129272, -0.022023065, -0.233132, 0.09775469, -0.027969204, -0.032578427, -0.20589033, 0.09356718, 0.08583383, 0.05210765, -0.07712435, 0.250104, 0.008439425) * g_14; result += mat4(0.06802483, -0.13343696, -0.047004845, 0.16506574, -0.091166094, -0.16346036, -0.13110496, -0.28389332, 0.035855703, 0.12646672, -0.099049605, -0.0008063162, -0.009684357, 0.010770653, -0.009783527, 0.11862203) * g_15; result += mat4(-0.010126488, -0.028762225, 0.18976927, -0.030415734, 0.12148659, 0.041320156, 0.0746818, 0.018062174, -0.30057785, -0.13369675, 0.122107536, 0.198235, -0.2140395, -0.024747701, -0.3379253, -0.21174349) * g_16; result += mat4(-0.016392622, 0.02029067, 0.11583286, -0.1268402, -0.19290908, 0.09967843, -0.12862396, 0.08984122, -0.003903114, -0.08975317, -0.18257642, -0.2447739, -0.13734268, -0.06588839, -0.039996687, 0.086118914) * g_17; result += mat4(0.15091965, 0.12736365, 0.13546066, 0.008318725, 0.028630871, -0.36270767, 0.24071144, -0.047721867, -0.0029238814, -0.299951, 0.16515507, 0.2045453, 0.23567834, -0.1644619, -0.18801829, 0.14953467) * g_18; result += mat4(-0.14868434, 0.023688158, -0.11039743, -0.18117934, 0.16662696, -0.17234206, -0.14898847, 0.16994476, -0.04968569, 0.19829328, -0.051957127, 0.11434248, -0.18070386, -0.114997305, 0.6586136, 0.21840969) * g_19; result += vec4(0.05267218, -0.01234981, -0.005742453, -0.0313311); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x80 //!HOOK MAIN //!BIND conv2d_12_tf //!BIND conv2d_12_tf1 //!BIND conv2d_12_tf2 //!BIND conv2d_12_tf3 //!BIND conv2d_14_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!SAVE conv2d_15_tf3 //!WIDTH conv2d_12_tf.w //!HEIGHT conv2d_12_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_12_tf_tex(conv2d_12_tf_pos)), 0.0)) #define g_1 (max((conv2d_12_tf1_tex(conv2d_12_tf1_pos)), 0.0)) #define g_2 (max((conv2d_12_tf2_tex(conv2d_12_tf2_pos)), 0.0)) #define g_3 (max((conv2d_12_tf3_tex(conv2d_12_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_12_tf_tex(conv2d_12_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_12_tf1_tex(conv2d_12_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_12_tf2_tex(conv2d_12_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_12_tf3_tex(conv2d_12_tf3_pos)), 0.0)) #define g_8 (max((conv2d_14_tf_tex(conv2d_14_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_14_tf_tex(conv2d_14_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.024876181, 0.049410935, 0.18863276, -0.21360011, 0.120626085, -0.041039187, -0.025031038, 0.15861072, 0.031020435, 0.047245055, -0.013810417, -0.13509113, 0.039912585, 0.0030006578, -0.20477976, -0.006812967) * g_0; result += mat4(0.20956035, 0.06598898, 0.39945224, 0.0020346004, 0.03396126, -0.055860132, 0.24823242, 0.07525624, -0.21111757, -0.01021541, -0.024861235, 0.13525884, -0.11488383, 0.17399031, -0.10318724, -0.0632262) * g_1; result += mat4(-0.06352241, -0.05806122, 0.11548247, -0.09170009, 0.40792373, 0.10823234, 0.25872982, -0.14128555, 0.15681162, 0.087651595, 0.20255132, 0.1707228, 0.061114226, -0.20349206, 0.28370798, 0.29029718) * g_2; result += mat4(0.18111548, 0.055765428, -0.33313075, 0.0006103676, 0.2546437, 0.14968075, 0.010974743, -0.023569109, 0.08389516, 0.11510806, -0.09821152, 0.016062623, -0.044881605, -0.023495123, 0.036569294, -0.09006456) * g_3; result += mat4(-0.0032415257, -0.028372264, -0.071512826, -0.19787377, 0.06515368, -0.0302441, 0.18496229, -0.19373836, -0.06467672, 0.06881524, 0.08946629, 0.032331206, 0.28018954, -0.03519139, 0.12457947, -0.10447036) * g_4; result += mat4(-0.26683676, -0.035779674, -0.33102936, -0.16464533, -0.03501263, 0.13808376, 0.14350422, 0.22299303, -0.17892793, 0.5684519, -0.22766575, -0.05168531, 0.12079673, -0.028563501, -0.008283765, -0.057736557) * g_5; result += mat4(0.26274854, 0.06040585, 0.08909, 0.3820274, -0.12244029, -0.112672985, -0.38198316, 0.16422817, -0.012557389, -0.18269186, 0.00044065682, -0.09841192, 0.031287532, -0.3910334, -0.030273868, -0.08873974) * g_6; result += mat4(-0.07051197, 0.06768202, 0.060395453, 0.021798966, 0.08901619, -0.22387257, 0.029923506, 0.2166611, 0.21220657, 0.029643808, -0.08909047, 0.16643848, 0.02217428, 0.10017023, 0.13721336, 0.009448813) * g_7; result += mat4(-0.03333011, -0.33377162, 0.2840832, -0.075103775, -0.16588315, 0.24898893, 0.007910625, 0.35778743, -0.036830995, -0.15491192, -0.13378191, 0.02509361, -0.2987233, 0.016634934, -0.09080739, 0.057995312) * g_8; result += mat4(0.024250133, 0.38453543, -0.012589143, -0.048741948, 0.04583434, 0.42664826, 0.35224134, -0.108690985, 0.034614064, -0.19162184, -0.09440296, 0.07740561, 0.3153523, -0.02028819, -0.0464603, -0.21693204) * g_9; result += mat4(0.12554936, 0.28191876, 0.20692183, 0.02204118, -0.12202598, 0.15557781, -0.15807728, -0.22403438, -0.0050102826, -0.25063172, 0.19841024, -0.0935906, -0.016202275, 0.038872335, -0.032258067, 0.1769041) * g_10; result += mat4(0.09860859, -0.12880474, -0.32096177, 0.18863943, -0.108892374, -0.040826876, -0.11872242, 0.014217295, -0.110700965, -0.14552751, -0.19022615, 0.23588236, -0.09166652, 0.06676425, -0.114403374, -0.032579597) * g_11; result += mat4(-0.28780296, -0.026555603, 0.14381845, 0.18344115, -0.0932073, 0.13699014, -0.12567475, -0.120724775, 0.24272558, -0.12773077, -0.3670164, -0.037173547, 0.056873374, 0.03516149, 0.076903544, 0.21553768) * g_12; result += mat4(-0.10597593, -0.040730987, 0.01580388, -0.14816804, 0.06471183, -0.23214011, 0.189348, -0.041128606, -0.23000284, -0.21311183, 0.24912965, 0.02485546, 0.14808623, 0.040830627, 0.043355484, -0.25108483) * g_13; result += mat4(-0.11192612, -0.0769642, 0.26336476, -0.0879536, 0.10262009, 0.13074996, 0.20801952, -0.08162488, -0.08020716, -0.006562019, -0.029345717, 0.16304365, -0.15999863, -0.07409018, 0.025488326, -0.06557731) * g_14; result += mat4(-0.0436646, 0.16603959, 0.10123139, 0.17289525, -0.17661704, 0.0985401, -0.062753186, -0.09045243, 0.19563136, 0.21048959, 0.119753934, 0.096117176, 0.043681554, 0.037470255, 0.012589698, 0.34186623) * g_15; result += mat4(-0.111708984, 0.14836372, -0.1774937, -0.059907373, -0.12757868, 0.2671399, 0.0795556, -0.121689394, -0.14408125, -0.20676754, -0.32231417, -0.009280711, -0.3287384, -0.03544951, -0.0937731, -0.048848808) * g_16; result += mat4(0.22088239, -0.07246235, -0.026009787, 0.01313955, 0.0537936, -0.19702353, -0.21666858, 0.14131804, 0.1057349, 0.10163044, 0.024502473, -0.21511002, 0.032470826, 0.040648606, 0.33920923, 0.2154231) * g_17; result += mat4(-0.06127513, -0.33544734, 0.02393552, -0.0050719925, -0.1159799, 0.076991595, 0.05514996, 0.26366106, 0.020541657, -0.1467507, -0.014061093, 0.0154901175, 0.08579732, 0.06905036, -0.2559085, -0.2857713) * g_18; result += mat4(0.18818028, 0.07449577, 0.28119013, 0.32452857, 0.14604072, -0.059530415, 0.06402294, 0.17558031, 0.04828705, 0.2532384, 0.082392104, 0.080385216, -0.16187488, -0.094814144, -0.0061105727, -0.21911964) * g_19; result += vec4(-0.033699915, 0.023496272, 0.022923317, -0.04813553); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_15_tf //!BIND conv2d_15_tf1 //!BIND conv2d_15_tf2 //!BIND conv2d_15_tf3 //!SAVE conv2d_17_tf //!WIDTH conv2d_15_tf.w //!HEIGHT conv2d_15_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_15_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_15_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_15_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_15_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_15_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_15_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_15_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_15_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.10141816, 0.14976878, 0.03195215, -0.039459493, 0.07342809, -0.13988629, -0.0063446215, -0.08049595, -0.04162974, -0.01193011, 0.0043608593, -0.16511472, -0.07410478, 0.08040536, 0.15624346, 0.16637307) * go_0(-1.0, -1.0); result += mat4(0.04363024, 0.1558041, -0.051349774, -0.2017786, -0.14090109, 0.0077253273, 0.20365517, 0.11794583, 0.17618881, 0.1697445, -0.09291706, 0.020068632, 0.02007473, 0.2233203, 0.10414641, -0.029859295) * go_0(-1.0, 0.0); result += mat4(-0.04228483, -0.2522017, -0.08950456, -0.07378427, 0.10902103, 0.0016241051, 0.022387296, -0.07227263, 0.17921664, -0.07670382, 0.107183404, 0.055107605, 0.008698778, -0.051294874, 0.042903744, 0.058951948) * go_0(-1.0, 1.0); result += mat4(-0.1375484, -0.023858752, 0.049783953, -0.10186465, 0.07819816, -0.1402314, -0.014493593, 0.10538838, 0.0055485037, 0.0005635436, -0.095101885, 0.06633904, -0.11578867, 0.005958089, 0.17136146, 0.11700411) * go_0(0.0, -1.0); result += mat4(0.13330704, -0.05399527, -0.059408378, -0.012242189, 0.048309475, 0.014368095, -0.12477356, 0.016511722, -0.06304495, -0.11824205, -0.084178604, -0.1071192, -0.10863286, -0.10858007, -0.16140759, -0.18176575) * go_0(0.0, 0.0); result += mat4(0.07680403, -0.08245252, 0.055462312, 0.053744126, 0.067585744, 0.17620924, -0.06432487, -0.16865245, 0.26111647, -0.19865918, 0.12157986, -0.06446687, -0.15832807, -0.02337486, -0.16785344, 0.114276074) * go_0(0.0, 1.0); result += mat4(-0.073085696, 0.026583878, -0.21170044, -0.041149564, 0.04610835, 0.21036178, 0.004559763, 0.023281705, 0.13178588, 0.012508884, -0.14963967, -0.14690685, -0.021903453, 0.07176222, 0.15243328, -0.10042701) * go_0(1.0, -1.0); result += mat4(0.0664264, -0.16415414, -0.17569391, -0.06900063, -0.06844009, -0.08645253, -0.10603767, -0.00832005, -0.07373927, 0.15736815, 0.08295166, 0.1052753, -0.1397909, 0.097937405, 0.23047511, -0.11606347) * go_0(1.0, 0.0); result += mat4(-0.15628648, -0.113366134, -0.06865726, 0.061113577, 0.08942056, -0.09596354, -0.08677791, -0.09045824, -0.056612067, 0.13108426, 0.012026924, 0.072144784, -0.04866906, -0.05377174, 0.17577443, -0.18520343) * go_0(1.0, 1.0); result += mat4(0.06607407, -0.120200165, 0.03707084, 0.15172935, 0.2430265, -0.113085315, -0.011460811, 0.08904817, -0.022574378, 0.033570133, 0.044159263, -0.009697304, -0.02309598, -0.040957745, -0.21013923, -0.17041521) * go_1(-1.0, -1.0); result += mat4(0.022768836, -0.07471788, 0.0032480883, -0.028676828, 0.07174294, 0.12089073, -0.09654299, 0.030429209, -0.1041162, -0.05869679, 0.21359834, -0.034161806, -0.02269268, 0.10165246, -0.13029668, 0.1188484) * go_1(-1.0, 0.0); result += mat4(0.029641088, 0.060067747, 0.0075102164, -0.1309527, -0.0051006447, 0.24038218, 0.012248357, -0.03506548, 0.101247, -0.11584173, -0.084328905, -0.023940684, -0.02261787, -0.09003932, -0.079946354, 0.16499889) * go_1(-1.0, 1.0); result += mat4(0.08340322, -0.084059194, 0.032852225, 0.06628357, -0.042182837, 0.13932712, 0.059110105, -0.18841559, 0.077167906, -0.11461596, 0.011843562, 0.079223566, 0.17172302, 0.09588103, -0.04519654, -0.105250426) * go_1(0.0, -1.0); result += mat4(0.0072912937, -0.17274414, -0.14938009, -0.069200344, 0.0957791, -0.014477511, -0.052849926, 0.023967758, -0.0035198112, 0.028233815, 0.13004604, -0.024852267, -0.114071615, 0.019608831, 0.20646521, 0.097629465) * go_1(0.0, 0.0); result += mat4(0.0028235735, -0.0030747976, -0.012810413, -0.119974546, 0.049126018, 0.06264352, -0.06849737, -0.11978027, 0.10988244, -0.015898775, 0.09746785, -0.006982965, 0.058684476, -0.034703217, 0.2606026, 0.0029088869) * go_1(0.0, 1.0); result += mat4(0.12530242, 0.1369462, 0.09158591, -0.11397034, 0.018868709, 0.04104663, 0.04852858, -0.09407637, -0.01602279, -0.06524504, -0.03544078, -0.043030232, -0.08382277, 0.06879843, 0.05892557, 0.16079953) * go_1(1.0, -1.0); result += mat4(0.051489368, -0.121827774, 0.07657864, -0.012008831, 0.22305761, 0.175661, -0.10651213, -0.0713164, -0.19909866, 0.008551008, -0.075291224, -0.13893497, 0.0064601367, -0.033508357, -0.05580783, 0.01087825) * go_1(1.0, 0.0); result += mat4(0.0890387, -0.005465109, -0.03689836, 0.053952705, 0.016625151, -0.06267179, -0.10336324, -0.034135565, 0.020885276, -0.07612263, 0.11301436, -0.044119492, 0.06116916, -0.11245377, -0.13503706, -0.016538095) * go_1(1.0, 1.0); result += mat4(0.27475291, 0.13184716, -0.0680776, -0.018830024, 0.029797517, -0.14674206, -0.13773149, 0.07596705, -0.12054772, -0.10542588, -0.078347825, -0.0711237, 0.033791598, 0.1366684, -0.008929289, -0.044218395) * go_2(-1.0, -1.0); result += mat4(-0.10575078, -0.08208724, -0.12209491, 0.075179026, -0.108247526, 0.049645945, 0.17491071, 0.033732615, -0.24320623, -0.05394347, 0.059426192, 0.21437696, 0.13719973, -0.028119182, -0.109999254, -0.006878209) * go_2(-1.0, 0.0); result += mat4(-0.16982876, 0.001536919, 0.04183064, -0.036760435, -0.022450875, -0.06082643, 0.12952876, 0.09636169, 0.059916295, 0.076769084, 0.033762798, 0.01730426, -0.04495645, -0.040148437, 0.004881271, 0.04875726) * go_2(-1.0, 1.0); result += mat4(0.03642368, -0.43472657, 0.041129608, -0.17804651, -0.1057716, -0.051420793, 0.24544626, 0.13492435, 0.070110224, -0.058953024, -0.047583204, 0.107109495, 0.16330208, 0.10041534, 0.009722348, -0.041390747) * go_2(0.0, -1.0); result += mat4(0.04072445, -0.30625793, 0.13379507, 0.20906621, 0.040475562, 0.09978542, 0.07838612, -0.061970588, -0.014157455, -0.08661651, 0.049639836, 0.092796445, 0.14035767, -0.07199328, 0.2702048, 0.13223602) * go_2(0.0, 0.0); result += mat4(0.08312407, 0.026157904, 0.1338742, -0.1169418, 0.20012325, 0.2693674, 0.1465921, -0.02459555, -0.060668815, 0.026844399, -0.05361937, -0.082469605, -0.04559839, 0.13304235, 0.16309445, -0.121678405) * go_2(0.0, 1.0); result += mat4(0.3037645, -0.047783196, 0.16506009, 0.08809878, -0.13823804, -0.015729615, 0.06759662, 0.017325116, 0.043904126, -0.017581047, 0.09673254, 0.094264686, -0.13746184, -0.12914835, -0.002408157, -0.013865908) * go_2(1.0, -1.0); result += mat4(0.10031577, 0.11770728, -0.15092418, 0.09787308, 0.065984525, 0.24215704, 0.059678502, 0.15129778, -0.1041671, -0.1671323, -0.10720415, -0.03810631, -0.054461427, 0.11054692, -0.1274286, -0.07087494) * go_2(1.0, 0.0); result += mat4(-0.12774822, 0.07534175, -0.15987013, 0.03355638, 0.014404904, -0.0988583, 0.028051285, -0.039134447, 0.05298065, -0.105260774, -0.023862204, -0.044772115, -0.055214968, 0.13535902, 0.06230091, -0.083698004) * go_2(1.0, 1.0); result += mat4(0.0139728915, -0.048358914, -0.034966476, -0.009007154, 0.08131041, -0.08471946, 0.050465804, 0.04653661, -0.124946415, 0.14791906, 0.086607225, -0.15802874, -0.0032374691, 0.052836478, -0.04980938, -0.016416343) * go_3(-1.0, -1.0); result += mat4(0.16441637, 0.060025495, -0.0066467216, 0.13411339, 0.030276867, -0.07048473, -0.028923895, 0.044106837, -0.14255995, 0.0277301, 0.111437134, -0.17750145, -0.09217831, -0.2319309, -0.025248565, -0.102717236) * go_3(-1.0, 0.0); result += mat4(0.06973222, -0.035588417, -0.111446336, 0.13473494, -0.112381935, 0.053046275, -0.0671602, -0.052672945, 0.0119380765, -0.120062254, -0.077458374, -0.16899844, -0.06409111, -0.31383014, -0.1415216, -0.0095003825) * go_3(-1.0, 1.0); result += mat4(0.18645856, -0.075802125, -0.076009706, -0.008515984, -0.118233606, -0.08088051, -0.048755296, 0.15596835, -0.14270495, 0.11329069, 0.12079284, -0.110061385, -0.20744714, 0.13587101, 0.080459, -0.03490168) * go_3(0.0, -1.0); result += mat4(-0.05136024, 0.027372051, 0.068267904, -0.19892217, -0.06297041, -0.12936479, 0.047871254, -0.10061141, -0.20743029, -0.14944652, -0.048013274, -0.111466944, 0.071750574, -0.014199303, 0.22018474, 0.03526866) * go_3(0.0, 0.0); result += mat4(-0.015961887, 0.34805354, -0.084889576, -0.04103895, 0.012770726, 0.15756465, -0.056900878, 0.0012191968, 0.023338098, -0.068657495, 0.10945492, 0.054981403, -0.22202769, -0.25471666, -0.094040915, 0.04642164) * go_3(0.0, 1.0); result += mat4(-0.06906127, 0.054665376, 0.26725876, 0.16588517, 0.039062407, 0.030395871, -0.22915559, -0.07140849, -0.12185479, -0.19255042, 0.06323481, -0.13590309, 0.019942466, -0.019182289, -0.14168435, 0.10321306) * go_3(1.0, -1.0); result += mat4(-0.21957119, -0.12511711, 0.28405094, -0.07832896, -0.009318511, 0.20928006, 0.07713814, -0.039801426, 0.07545705, 0.020907026, 0.027893608, 0.10876504, -0.29373664, -0.18898283, 0.015717847, -0.069892325) * go_3(1.0, 0.0); result += mat4(-0.08305131, 0.106991254, 0.060219277, -0.034433957, 0.038117282, 0.050357938, 0.008414432, 0.041005578, -0.012356306, -0.030845974, 0.068301044, -0.018243417, -0.029335339, -0.25252038, 0.14035118, 0.06186665) * go_3(1.0, 1.0); result += mat4(0.047154456, -0.07945457, -0.010143473, 0.14525153, 0.004434465, 0.13061778, 0.11142133, 0.11891932, 0.03673374, -0.0031975107, -0.07057913, -0.10060252, -0.018507725, -0.05440741, -0.041567538, 0.06602653) * go_4(-1.0, -1.0); result += mat4(-0.053671002, -0.0062734983, 0.030443976, -0.02611883, -0.11054853, 0.07524956, -0.18110128, 0.085256346, 0.006264908, -0.19079378, 0.041253116, -0.03462252, 0.11103377, -0.11105306, 0.0022028198, 0.108352505) * go_4(-1.0, 0.0); result += mat4(0.05842086, 0.07041998, -0.083942145, 0.062100563, 0.08270817, 0.044405486, -0.027223391, 0.19852112, 0.16944961, 0.13228446, 0.0068719517, -0.105019845, 0.12576698, -0.020317027, 0.08117506, -0.06097545) * go_4(-1.0, 1.0); result += mat4(-0.011024374, -0.14779495, 0.20576821, 0.10269086, -0.069063395, -0.018516377, 0.17406136, -0.10562391, 0.014538016, -0.050628114, -0.29504398, -0.06448774, -0.043636657, 0.04359594, 0.021326946, 0.2251655) * go_4(0.0, -1.0); result += mat4(-0.091270216, -0.17969126, 0.10563032, -0.04412368, -0.0032437663, 0.03424443, 0.16033265, -0.02958856, -0.19704275, 0.15207182, 0.054025695, 0.040374033, -0.0071690367, 0.041726355, 0.121862285, 0.045662563) * go_4(0.0, 0.0); result += mat4(-0.12316079, 0.048827652, -0.053332523, -0.13136196, -0.07160488, 0.043115586, 0.08805954, 0.09753396, -0.036120344, 0.092870444, -0.0034468954, -0.19077231, -0.054664202, 0.20115146, 0.0016251119, -0.051902667) * go_4(0.0, 1.0); result += mat4(-0.0315559, 0.03361163, -0.10469534, -0.0871928, 0.11241524, -0.03091901, 0.015451541, 0.004027563, 0.025825808, 0.06891256, -0.10293409, 0.1631189, -0.22473077, -0.044312675, 0.12753218, -0.02040456) * go_4(1.0, -1.0); result += mat4(-0.007374305, -0.08562257, 0.05379794, 0.096869245, 0.097899415, -0.0030102937, 0.0076100267, 0.051482208, 0.004514031, -0.22291246, -0.2495633, -0.08240695, 0.036596466, 0.05963552, 0.12940569, -0.1415334) * go_4(1.0, 0.0); result += mat4(-0.095979825, -0.05715345, -0.023848705, -0.06566416, 0.12034552, 0.14720978, 0.005992561, 0.100924246, -0.107772924, 0.07058055, -0.061445955, -0.018437093, -0.29193494, 0.10358182, 0.20117821, -0.14332218) * go_4(1.0, 1.0); result += mat4(-0.12156258, 0.06907849, -0.046949413, -0.0714296, 0.018323392, 0.03803995, -0.2321375, -0.15585358, 0.29162106, -0.15450235, 0.01548735, -0.0012524665, 0.05624532, -0.08688869, -0.11437038, -0.11211981) * go_5(-1.0, -1.0); result += mat4(-0.07032475, 0.14325896, 0.15342546, 0.09299106, -0.15903436, 0.04795819, -0.0380711, 0.06558145, 0.05663524, 0.10471699, 0.16202284, 0.22659935, 0.083957784, -0.18429661, -0.038526375, 0.1839184) * go_5(-1.0, 0.0); result += mat4(-0.07748898, 0.05564984, 0.06250746, -0.07047388, 0.030230096, -0.07243236, 0.00052768853, 0.030641804, -0.21637511, -0.061787657, 0.23074016, 0.26485935, 0.036239654, -0.05382996, -0.039605018, 0.047457904) * go_5(-1.0, 1.0); result += mat4(0.038591295, -0.0118487505, 0.040234715, -0.062315144, -0.03631829, 0.06990438, -0.041493274, -0.06670605, -0.025423469, 0.12878254, 0.13836798, 0.004582435, 0.19626965, -0.23641632, -0.080461845, 0.15305169) * go_5(0.0, -1.0); result += mat4(0.04500124, 0.0041531166, -0.04867464, -0.020004667, 0.018133044, -0.02402259, -0.012567247, -0.055164766, 0.095157854, -0.16957271, -0.1773557, -0.0073297294, -0.016875492, -0.22265767, -0.18525612, 0.06058628) * go_5(0.0, 0.0); result += mat4(0.048397746, -0.02788455, -0.00040129846, 0.24131092, 0.063177764, -0.101537034, 0.048137493, 0.088934034, -0.24852042, 0.047054883, -0.03160053, 0.042998843, -0.013301893, -0.110713534, 0.09375505, 0.0425776) * go_5(0.0, 1.0); result += mat4(-0.14482269, -0.054757748, 0.13310885, -0.007347218, -0.18589966, -0.08201558, 0.12553383, 0.012745022, -0.041277397, -0.27254996, -0.052470755, 0.058272712, 0.12499827, -0.022242187, -0.0945158, -0.07560099) * go_5(1.0, -1.0); result += mat4(0.13483234, 0.1061582, 0.19909498, -0.019715492, 0.067625776, -0.061768368, -0.07905436, 0.054142125, 0.01305098, 0.20080145, 0.068478644, 0.02703119, -0.062937714, -0.08034533, -0.043274418, -0.048142888) * go_5(1.0, 0.0); result += mat4(0.092937544, 0.05118526, -0.05864547, 0.03750556, -0.058229998, 0.042656448, -0.08145865, 0.089373656, -0.015661148, 0.092575066, 0.052451044, 0.06404418, -0.16234049, 0.10882622, -0.14870071, -0.14796436) * go_5(1.0, 1.0); result += mat4(0.080398865, 0.07038971, 0.09692282, 0.02861559, -0.0713776, 0.03789653, -0.12821087, -0.108117945, -0.18606333, 0.20648551, -0.009968705, -0.058358673, 0.038921814, -0.015748626, -0.13130306, 0.03157655) * go_6(-1.0, -1.0); result += mat4(0.11004321, 0.12440213, 0.043692373, 0.105881914, 0.055679493, 0.0013664741, 0.15824854, 0.13856025, -0.1295074, 0.004022093, 0.033498365, -0.10273302, 0.08524401, 0.16063328, 0.08564703, 0.10373729) * go_6(-1.0, 0.0); result += mat4(-0.014664466, -0.11535996, 0.06562263, 0.12310657, -0.012192171, 0.113815434, -0.025748147, -0.056379057, -0.06376049, -0.065414384, -0.0641455, -0.20318998, 0.06978728, -0.043363202, 0.15023038, -0.029428175) * go_6(-1.0, 1.0); result += mat4(0.065250464, 0.081754886, 0.22338922, -0.024675546, 0.03792266, 0.048089582, -0.051933024, -0.11904402, 0.09984588, 0.06062117, -0.28772864, 0.013163268, 0.054647114, -0.049608726, -0.0002510924, -0.06022509) * go_6(0.0, -1.0); result += mat4(0.03816607, 0.08511951, -0.024275059, -0.07368607, 0.057391707, 0.05121836, -0.034112077, -0.17826608, 0.15133052, 0.052271105, -0.16036001, 0.21736205, 0.065108694, -0.019315425, -0.12633246, 0.03905335) * go_6(0.0, 0.0); result += mat4(0.07849344, 0.050402712, 0.10410282, -0.17477596, 0.09423114, 0.01998794, -0.15437658, -0.051446997, -0.117983155, -0.13454825, -0.2263363, 0.16925961, -0.014475626, 0.11754052, -0.0486922, 0.080298886) * go_6(0.0, 1.0); result += mat4(0.06447236, -0.08227287, 0.047538612, -0.025023978, 0.0327808, 0.19078472, 0.11304362, -0.114679985, -0.059365615, -0.1522396, -0.030596083, -0.0648535, 0.11473043, 0.099015206, -0.095805876, -0.113419555) * go_6(1.0, -1.0); result += mat4(0.044888392, -0.04274824, -0.2327295, 0.10396123, 0.19391696, -0.081802174, 0.14488702, -0.016344251, -0.22996062, -0.25684744, 0.20749056, 0.028734291, -0.090665944, 0.07197542, -0.034485128, 0.10249939) * go_6(1.0, 0.0); result += mat4(-0.11119326, -0.11946935, -0.12337761, 0.060325015, 0.1824222, 0.018512564, 0.057066485, -0.14212456, -0.26227912, 0.015946273, -0.08148649, 0.0525647, 0.013987963, 0.024034664, -0.09109407, -0.08800889) * go_6(1.0, 1.0); result += mat4(0.08942057, -0.012771407, 0.052976996, 0.034529075, 0.1310871, -0.047644522, -0.13528478, -0.09086901, 0.041775502, -0.13844568, 0.03964684, 0.031089516, -0.07392355, -0.052174408, -0.009474784, -0.2290421) * go_7(-1.0, -1.0); result += mat4(-0.017659597, 0.050037336, -0.0025299324, 0.0753296, 0.06764149, -0.14075726, 0.08307984, 0.08205474, 0.077473514, -0.24571882, 0.14922607, -0.042693764, 0.044783637, -0.15163653, 0.0481681, 0.1755556) * go_7(-1.0, 0.0); result += mat4(-0.08418654, 0.105244175, 0.20956765, -0.06294217, 0.1879804, -0.029752912, 0.032740694, -0.11350783, 0.1573697, -0.338965, -0.005411119, -0.06498442, -0.074411646, 0.11154879, -0.007983718, 0.099891976) * go_7(-1.0, 1.0); result += mat4(-0.11360442, -0.023985954, 0.050237827, -0.039197393, 0.24417207, -0.17750946, 0.0029264402, 0.06552346, 0.07999777, -0.16054434, 0.05239082, -0.09109438, 0.20186174, -0.045056574, 0.12976813, -0.030063752) * go_7(0.0, -1.0); result += mat4(-0.0030791545, -0.08059885, -0.0036832225, -0.057302896, -0.095006235, 0.11108009, 0.1688286, 0.18473075, -0.060287848, 0.034863815, -0.022221414, 0.24895363, -0.025254453, -0.053281628, 0.2836165, 0.089012854) * go_7(0.0, 0.0); result += mat4(-0.048098963, -0.024920667, -0.008542859, -0.12416585, -0.007935982, 0.19714202, 0.08050051, -0.005334343, -0.14211339, -0.08771554, 0.16370557, -0.32066932, -0.10727847, -0.12724026, 0.104362994, -0.06707228) * go_7(0.0, 1.0); result += mat4(-0.15704228, -0.024204414, 0.007087552, -0.12148864, 0.13878778, -0.012233652, 0.03271341, 0.046406206, 0.050816927, -0.093313076, -0.24589844, 0.052772272, -0.28821534, -0.121905856, 0.19799241, -0.0708691) * go_7(1.0, -1.0); result += mat4(-0.23982097, 0.04363522, 0.3527458, 0.023065759, -0.13373962, 0.117174946, -0.06172028, -0.17474857, -0.13406518, -0.011999389, -0.037810836, -0.44302982, 0.08802065, -0.08534176, 0.05789676, -0.021465434) * go_7(1.0, 0.0); result += mat4(-0.18225484, 0.098582916, -0.029838774, -0.12963313, -0.15371342, 0.059467446, 0.06810986, -0.13996232, 0.02387343, -0.19576547, 0.24994224, -0.22950345, 0.04223122, 0.097238496, 0.037641723, -0.22899197) * go_7(1.0, 1.0); result += vec4(-0.021099666, -0.03129005, -0.026100485, -0.032015156); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_15_tf //!BIND conv2d_15_tf1 //!BIND conv2d_15_tf2 //!BIND conv2d_15_tf3 //!SAVE conv2d_16_tf //!WIDTH conv2d_15_tf.w //!HEIGHT conv2d_15_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_15_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_15_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_15_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_15_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_15_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_15_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_15_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_15_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.09609756, -0.055012375, -0.043073136, -0.055666514, 0.016418008, 0.036120225, 0.06029676, 0.020939374, 0.11832701, -0.053679865, -0.015110101, 0.13618767, 0.09494681, -0.03174575, 0.0027091461, -0.079117626) * go_0(-1.0, -1.0); result += mat4(0.16776627, -0.059132457, -0.08617137, 0.111107774, -0.07522468, 0.11456014, 0.10206192, -0.09795013, -0.031782568, 0.036730297, 0.09556621, -0.000958083, -0.04877398, -0.12761621, -0.05328436, -0.17509152) * go_0(-1.0, 0.0); result += mat4(-0.013845615, 0.0364183, 0.010424956, 0.041805822, -0.116106875, 0.002734559, -0.029624986, -0.17783165, -0.07629819, 0.04145108, -0.07223744, -0.007690453, -0.064606376, 0.12174394, -0.014825361, -0.0084151495) * go_0(-1.0, 1.0); result += mat4(-0.002451479, 0.07880965, -0.0139416065, -0.24062878, -0.088408604, 0.058236387, 0.006706374, -0.0010319118, 0.09392773, -0.03210168, -0.114932165, 0.1618595, 0.14179535, -0.042500906, -0.09045998, -0.14127046) * go_0(0.0, -1.0); result += mat4(-0.027822092, 0.019911472, 0.19860765, 0.15724073, 0.10166673, 0.06093802, 0.14866613, 0.06564189, -0.055504557, 0.0024655203, -0.0673572, -0.009370036, 0.031148747, -0.07150111, -0.043881677, 0.18116175) * go_0(0.0, 0.0); result += mat4(-0.04210747, -0.0071274997, -0.032913957, 0.018660989, 0.051073376, 0.06782918, -0.017950369, 0.07190485, -0.22312792, 0.16126503, 0.04935446, -0.07235652, 0.010417901, 0.07713274, -0.09850908, -0.028445879) * go_0(0.0, 1.0); result += mat4(0.06469987, -0.11051662, 0.00044343024, -0.0824562, 0.09513741, -0.017997947, -0.06515641, 0.11881489, 0.03063408, 0.007759294, 0.07263358, 0.025132397, -0.02236495, -0.023467774, 0.017836783, -0.10823227) * go_0(1.0, -1.0); result += mat4(-0.13958383, 0.01932197, 0.034343425, 0.03998081, 0.04705273, -0.066937834, 0.072302155, -0.015934192, -0.067153506, -0.07604367, 0.0135788955, -0.09868874, 0.028401552, 0.016137991, 0.030741712, -0.05084945) * go_0(1.0, 0.0); result += mat4(0.09688358, -0.0038751946, 0.08666303, -0.025303468, -0.106170915, -0.058171537, -0.03180972, -0.099828646, -0.03305094, 0.0017180776, -0.1330951, -0.0258952, 0.0075092567, -0.022991123, 0.0692612, -0.11860208) * go_0(1.0, 1.0); result += mat4(0.1289264, -0.051340435, 0.07629522, 0.08525001, 0.17129055, 0.08729278, 0.16216865, 0.029870907, 0.037678342, 0.0049766265, 0.058949407, -0.037198026, -0.080018, -0.055140797, -0.10370115, -0.18345577) * go_1(-1.0, -1.0); result += mat4(0.0070326407, -0.12450474, 0.010306007, -0.11749582, 0.21073423, 0.08744276, -0.2049444, -0.07198778, -0.023872219, -0.06021247, -0.110835806, 0.099957176, 0.022628674, -0.05737548, -0.03985959, 0.008792708) * go_1(-1.0, 0.0); result += mat4(0.022252496, -0.06173045, 0.053174034, 0.0787691, -0.091547325, -0.07840242, -0.15143803, 0.08442903, -0.08603787, 0.13783117, -0.123351984, -0.14503227, 0.062592834, -0.032115187, 0.1645178, -0.042738732) * go_1(-1.0, 1.0); result += mat4(0.24653557, -0.1127134, -0.06485058, -0.01246277, -0.042020027, 0.030455599, -0.027297743, 0.063047804, 0.030217074, 0.012030112, -0.041015655, 0.031267677, -0.17512026, 0.1655615, -0.15595682, 0.100183144) * go_1(0.0, -1.0); result += mat4(-0.032732334, 0.017509729, -0.058794443, -0.031101031, -0.03794737, 0.025334312, 0.06050446, 0.1429206, 0.02906151, -0.01638736, -0.13368747, 0.00013812391, 0.14179116, 0.16578944, 0.0016875591, -0.0081081325) * go_1(0.0, 0.0); result += mat4(-0.17499752, -0.012791056, -0.0039763134, -0.014580471, 0.015078276, -0.16282362, -0.012617101, 0.081141666, 0.07503038, -0.0045926278, -0.0072176065, 0.080567606, -0.074966975, -0.06954477, 0.20330784, 0.106600724) * go_1(0.0, 1.0); result += mat4(-0.061575174, -0.011066679, 0.051635355, 0.06448836, 0.07634649, 0.006140537, 0.07088602, -0.0043026246, 0.042276155, 0.15659745, 0.05378826, 0.044281624, 0.046426885, -0.09314892, 0.021468692, -0.065087035) * go_1(1.0, -1.0); result += mat4(0.036643215, -0.16454737, -0.106744304, -0.036818992, -0.08886182, 0.1267292, 0.19476546, 0.25881895, 0.11264265, -0.16113323, 0.007636693, -0.00693805, -0.060398016, 0.065028094, 0.064959414, 0.03238651) * go_1(1.0, 0.0); result += mat4(0.048840225, -0.023630783, -0.024679976, -0.0014270309, 0.0084513305, 0.17124465, 0.19591704, 0.1291631, 0.1774293, 0.08246338, -0.017292364, -0.011336239, 0.11411684, 0.08811617, -0.03444606, 0.16706938) * go_1(1.0, 1.0); result += mat4(-0.0013355667, 0.08377846, -0.093042545, 0.084158204, 0.2795504, -0.09045552, 0.06632154, 0.10977727, -0.0400835, -0.034911055, 0.056995716, 0.040316224, -0.008876082, -0.007732556, 0.050168034, -0.16885711) * go_2(-1.0, -1.0); result += mat4(0.13376418, 0.07325086, -0.09131099, 0.13401611, 0.050767064, -0.17131376, 0.047098216, 0.10656574, -0.03088948, 0.08322672, 0.12997481, 0.03262986, 0.06139361, 0.12225519, -0.037071053, -0.008163907) * go_2(-1.0, 0.0); result += mat4(0.12655751, 0.025844684, 0.050787576, 0.02169468, 0.18041965, -0.0036477768, -0.025983771, 0.12426952, -0.066581994, 0.06865894, 0.055160727, -0.06682907, 0.026987294, -0.09632507, 0.1279279, -0.032017976) * go_2(-1.0, 1.0); result += mat4(0.20881699, -0.04413474, 0.00041975285, 0.018447168, 0.15139039, -0.17890811, -0.048498105, 0.026863892, -0.04038872, 0.19609426, 0.07234381, 0.07763264, 0.07762023, -0.06942944, 0.09720136, -0.020185204) * go_2(0.0, -1.0); result += mat4(-0.033203717, 0.051632375, -0.29151496, -0.019714551, 0.054144926, -0.06135866, 0.34238565, 0.028267676, -0.04485083, -0.053827494, 0.2143548, -0.011955068, -0.14167474, -0.04505376, 0.10723791, -0.041945346) * go_2(0.0, 0.0); result += mat4(-0.102433704, 0.004789273, 0.1119891, -0.0203109, -0.017740408, -0.09619332, 0.3475929, 0.029633807, 0.04624514, 0.0640723, 0.038288433, -0.043456446, 0.0028731087, 0.03015074, -0.020183885, 0.044622716) * go_2(0.0, 1.0); result += mat4(0.24704404, 0.041703355, -0.049013373, 0.045351848, -0.0093254475, -0.1278815, 0.14508104, 0.080030285, 0.056857005, 0.08688084, 0.19216926, -0.06220198, 0.17112607, 0.07218316, 0.0795074, 0.01839487) * go_2(1.0, -1.0); result += mat4(0.1733775, 0.026274947, -0.01898811, 0.15374832, 0.119747944, 0.12652078, 0.03181385, 0.058963638, 0.020806959, -0.052343946, 0.12007364, 0.12834589, 0.12946364, -0.004851643, -0.09275399, -0.023749454) * go_2(1.0, 0.0); result += mat4(0.0193869, 0.16029198, -0.1647226, 0.14820257, 0.015849369, 0.061719846, 0.01781591, 0.06546549, 0.01411068, 0.047441017, 0.10499331, 0.0444021, 0.10317269, 0.012305531, -0.027644547, -0.02026022) * go_2(1.0, 1.0); result += mat4(0.022080548, 0.055724394, 0.01700489, 0.14965396, 0.052224305, -0.036954537, 0.03474517, -0.009189564, -0.049905237, -0.020433484, 0.048628446, -0.102126524, -0.012649122, 0.04515492, -0.045957103, -0.024198) * go_3(-1.0, -1.0); result += mat4(-0.08102677, -0.005510669, 0.089871764, 0.042553343, -0.04897514, 0.016537901, -0.0031736959, -0.063882664, 0.18177465, -0.081341125, 0.035784308, 0.019861514, -0.06374453, -0.021801073, 0.07553763, 0.2392607) * go_3(-1.0, 0.0); result += mat4(-0.051674295, -0.024726579, 0.012708328, 0.0120022455, 0.06796091, -0.11919646, 0.10550911, -0.016914662, -0.0017664131, 0.053862873, 0.01002813, -0.007454544, -0.19201882, 0.005823377, 0.023013754, 0.016918607) * go_3(-1.0, 1.0); result += mat4(-0.0688164, 0.069968164, 0.035286, -0.12940317, 0.17318653, -0.05089972, -0.007604, 0.026937611, -0.0047092275, 0.03783206, -0.006852713, -0.15646859, -0.030406103, -0.06980891, 0.009835896, -0.02440511) * go_3(0.0, -1.0); result += mat4(0.16799697, -0.06943555, -0.03730531, -0.1721256, -0.09911213, -0.081116, 0.0018397432, 0.04689856, 0.018798007, 0.102041714, 0.10882061, 0.07884699, 0.15522195, 0.039948918, 0.1331871, 0.29782096) * go_3(0.0, 0.0); result += mat4(0.060170665, -0.12705128, 0.27997023, 0.07200365, 0.15316802, -0.19086201, 0.03769603, 0.09388092, 0.013621962, -0.001599727, -0.014308661, 0.055155694, 0.108794376, -0.03869029, -0.14731637, -0.09738743) * go_3(0.0, 1.0); result += mat4(-0.056280326, -0.013755136, 0.051307328, 0.047183447, 0.16895631, -0.15820411, -0.18688565, 0.08207807, -0.07443388, -0.03691134, -0.14448541, -0.07053698, -0.082723446, -0.088062696, 0.081009656, 0.10446362) * go_3(1.0, -1.0); result += mat4(0.07195501, -0.005046178, -0.10009494, -0.0068428647, -0.014195055, -0.1258344, -0.112450786, -0.04761318, -0.0004043175, -0.07863752, -0.018329088, -0.015974361, -0.09353746, -0.075935334, 0.2102448, -0.028742688) * go_3(1.0, 0.0); result += mat4(0.007925812, -0.14759003, -0.12893279, 0.20039004, -0.059057757, -0.062296968, 0.0114990985, 0.005130549, -0.04773586, -0.13635732, 0.022072053, -0.067658275, 0.12064796, 0.038565595, 0.062534854, -0.15858793) * go_3(1.0, 1.0); result += mat4(0.012978919, 0.09248063, 0.079721585, -0.10949528, 0.05636094, 0.0639426, -0.08391837, -0.054627553, 0.00037798003, -0.013555376, -0.18349887, -0.04274588, -0.14281152, 0.0057977308, -0.05939348, 0.010091491) * go_4(-1.0, -1.0); result += mat4(0.1422423, -0.10552157, -0.03913756, -0.0653251, 0.06479668, 0.0115009425, -0.1867643, 0.114124864, 0.007959146, -0.03393825, 0.11404819, 0.012734461, 0.058671746, -0.05543321, -0.08331419, 0.07654381) * go_4(-1.0, 0.0); result += mat4(0.09127371, -0.021557972, -0.05028715, -0.05016229, 0.017002096, 0.19106826, 0.05418276, -0.05694394, 0.06581798, -0.0598181, 0.018230528, -0.0635826, -0.05732186, -0.10073851, -0.011672219, -0.033285677) * go_4(-1.0, 1.0); result += mat4(-0.048617575, 0.019004911, -0.019724898, 0.0065591526, 0.101372994, -0.08572456, -0.10958081, -0.07779033, -0.0744815, -0.071501486, 0.08134343, -0.11673183, -0.052799657, 0.09455502, -0.046477437, 0.062174764) * go_4(0.0, -1.0); result += mat4(0.15564895, 0.08472279, 0.11441956, -0.14344747, -0.24006632, -0.032172255, 0.039400138, -0.007438132, 0.009162504, 0.05753773, -0.11778383, -0.06364131, 0.1863039, -0.024734113, -0.06508269, 0.084494196) * go_4(0.0, 0.0); result += mat4(0.042976603, 0.10006721, -0.05396374, -0.091420546, -0.07264408, -0.0376512, 0.09453536, -0.025677709, -0.040637143, 0.009227286, 0.21652271, -0.08846454, 0.011874195, -0.24357733, -0.20396955, 0.0034799203) * go_4(0.0, 1.0); result += mat4(0.11487922, 0.06142311, -0.05799218, -0.043709278, -0.011386744, -0.047758225, -0.04346472, -0.15726915, -0.010850286, 0.055703852, 0.11554872, 0.14175794, -0.025774736, 0.03302446, -0.031050406, -0.14743169) * go_4(1.0, -1.0); result += mat4(0.107260466, 0.09991366, -0.0854939, -0.13359135, -0.17836837, 0.0947788, 0.076283626, -0.03702856, 0.045162823, 0.02137722, 0.013965963, 0.008323008, 0.1299707, -0.06806633, -0.08851454, -0.0519084) * go_4(1.0, 0.0); result += mat4(-0.039744638, -0.009205459, -0.06797804, -0.031998966, 0.061308265, -0.0007453291, -0.0007644073, -0.016154464, 0.011811196, 0.034707885, -0.12882923, -0.0021590462, 0.13357846, 0.058845736, -0.15742505, -0.06657708) * go_4(1.0, 1.0); result += mat4(-0.018271925, 0.100263335, 0.01960824, -0.1153796, -0.23422036, -0.0031631307, -0.050807018, -0.053269822, -0.03458429, 0.14577144, 0.13469611, -0.11434715, -0.009439456, 0.030330583, -0.040208224, 0.12874405) * go_5(-1.0, -1.0); result += mat4(0.031613346, 0.15594259, 0.20758592, 0.03629735, -0.12865163, -0.067441724, -0.019100431, -0.047031283, 0.06444509, 0.04873205, 0.12288836, 0.042170476, -0.12388107, 0.00048445113, -0.027354648, -0.013098879) * go_5(-1.0, 0.0); result += mat4(-0.054265685, 0.11467644, 0.02952745, -0.017398788, 0.082775794, 0.09431421, -0.022905173, 0.011000366, -0.016479017, -0.07035369, 0.15773647, 0.09656325, -0.12106234, 0.054287493, -0.21364424, -0.09698419) * go_5(-1.0, 1.0); result += mat4(-0.08437344, 0.07146613, 0.03008299, -0.050195847, 0.08297239, 0.010328966, 0.2501361, -0.051406503, 0.09035167, 0.10230502, -0.087015145, -0.090351515, -0.059905346, 0.010634574, 0.101668574, 0.12283612) * go_5(0.0, -1.0); result += mat4(-0.12624927, -0.043445382, 0.04399112, 0.2396272, -0.12518035, -0.107726894, -0.02661663, -0.186101, 0.03170526, -0.013086996, -0.16010353, 0.08162145, -0.24017718, 0.08761893, -0.2546848, -0.03131363) * go_5(0.0, 0.0); result += mat4(0.09616909, -0.030323014, -0.14481992, -0.036541697, -0.19536978, 0.1064523, 0.079171434, -0.038171098, -0.043278754, -0.059359286, -0.0025608074, -0.07138205, -0.10972322, -0.18075511, -0.08821048, -0.035308387) * go_5(0.0, 1.0); result += mat4(-0.00918984, -0.031009672, 0.066319056, -0.085171655, -0.024080584, 0.06236177, -0.0115594845, -0.119407974, 0.070196055, -0.1145586, -0.021149555, -0.13792083, 0.030996334, 0.1484254, -0.010054155, 0.1086116) * go_5(1.0, -1.0); result += mat4(-0.014743395, 0.22290353, -0.07011576, 0.1069503, -0.0026242791, -0.13469394, 0.038082447, -0.07685243, -0.2634126, 0.13381208, 0.10993633, 0.03586481, -0.054848466, 0.006930213, -0.12056366, 0.014139514) * go_5(1.0, 0.0); result += mat4(0.030834544, -0.0070147654, 0.14920786, -0.065181114, 0.02508345, -0.1483285, 0.0047159214, -0.044124506, 0.039289955, 0.06650584, 0.081950754, -0.08433925, 0.015854202, -0.040369797, -0.046914417, -0.009928778) * go_5(1.0, 1.0); result += mat4(0.15443583, 0.04376301, 0.13718478, -0.03824221, -0.055449802, -0.14842397, 0.06060697, 0.01631613, 0.11067964, -0.14271964, -0.22600028, -0.034234643, 0.06918402, -0.04600415, -0.06900304, 0.06417275) * go_6(-1.0, -1.0); result += mat4(-0.042201858, -0.011375089, -0.015411258, -0.12674233, 0.026103523, 0.10343946, -0.0077547887, -0.033607867, 0.124470666, 0.06796264, -0.13659167, 0.040740173, 0.0604928, -0.092276655, 0.11865089, -0.08302834) * go_6(-1.0, 0.0); result += mat4(-0.01112464, -0.021381281, -0.034482505, -0.053960275, 0.058478907, -0.0097189145, 0.1940526, -0.13732584, -0.093956545, 0.0057153534, -0.08862296, -0.06671325, -0.005182285, -0.05719968, 0.025967684, 0.032040965) * go_6(-1.0, 1.0); result += mat4(0.06687304, -0.0026133375, 0.15141574, -0.05272407, -0.023663558, 0.06502362, 0.08093761, 0.109535225, -0.05700876, -0.029776534, -0.05858992, -0.013166662, 0.019790562, -0.12917398, -0.06497215, 0.057915356) * go_6(0.0, -1.0); result += mat4(0.06072319, -0.11173385, -0.06554967, 0.13359413, -0.06625554, -0.017581498, -0.058076315, -0.003931657, -0.023673324, 0.07044443, 0.003583932, 0.14873055, -0.061578825, 0.03817671, 0.14216065, -0.025126763) * go_6(0.0, 0.0); result += mat4(-0.06629599, -0.017247697, 0.10675047, -0.0044184877, -0.058319747, -0.03925674, 0.02459416, 0.00095720706, -0.08090092, 0.12986918, -0.25750917, -0.03840858, 0.12543473, -0.09118815, 0.13346738, 0.0872867) * go_6(0.0, 1.0); result += mat4(0.04924794, 0.08806323, -0.06525138, -0.08052156, -0.023931473, -0.0734658, -0.010882386, -0.030258544, -0.18479422, 0.18968348, -0.050708067, 0.038592026, 0.042794973, -0.10810727, -0.02882389, -0.085186586) * go_6(1.0, -1.0); result += mat4(-0.18184122, 0.009152045, -0.0013307668, 0.0528998, -0.09193569, 0.10202717, 0.030233888, -0.116206944, 0.13555616, -0.011747243, -0.22625974, -0.008968841, -0.02577717, 0.050121024, 0.0039666356, 0.0140310675) * go_6(1.0, 0.0); result += mat4(-0.07334463, -0.040781733, 0.04237529, -0.017089957, 0.042566124, 0.028134586, -0.009052325, 0.07598215, -0.13904396, 0.026619319, -0.08988712, -0.005250927, 0.08855536, -0.1234204, 0.06786622, 0.039750088) * go_6(1.0, 1.0); result += mat4(-0.0058151903, 0.03422835, -0.0007863771, -0.077100396, 0.063499264, -0.041216582, 0.04828395, -0.053149093, -0.18125884, 0.1692733, 0.33500117, 0.067575455, 0.04588855, 0.13782747, 0.1351673, -0.004836687) * go_7(-1.0, -1.0); result += mat4(0.13591178, -0.08803395, -0.0082301255, 0.018532211, -0.14070654, -0.153454, 0.12548654, 0.0942813, -0.035065573, 0.17697263, 0.048331108, -0.028308947, 0.038468204, 0.07220786, 0.2944224, -0.025645984) * go_7(-1.0, 0.0); result += mat4(0.13994263, -0.019219065, -0.14284274, -0.1471152, -0.15571125, -0.02123468, 0.14339264, -0.04104626, -0.20012046, 0.06999495, 0.13211347, -0.015829416, 0.15163279, 0.03081914, -0.015203248, -0.07161789) * go_7(-1.0, 1.0); result += mat4(0.11625371, -0.020931741, -0.0875021, -0.01576175, 0.061449245, -0.046299458, 0.07421833, -0.06874183, 0.30783412, 0.15397696, 0.045492157, 0.08606051, -0.035266094, 0.11132788, 0.15416808, -0.01438527) * go_7(0.0, -1.0); result += mat4(0.012413651, -0.033095382, -0.1972357, 0.18014714, 0.2332191, -0.25324136, -0.028787011, -0.17730585, 0.33105198, -0.14836398, 0.1377452, 0.044808302, -0.09968492, 0.17502867, 0.06019141, -1.0588551e-05) * go_7(0.0, 0.0); result += mat4(0.07118095, -0.059810337, -0.14726935, -0.17732129, 0.06272923, -0.13827543, -0.018983403, -0.10391589, -0.07683961, -0.009228622, 0.016202949, 0.30789152, -0.007190668, -0.22396167, 0.03562099, 0.011657737) * go_7(0.0, 1.0); result += mat4(-0.013723268, -0.0018854191, 0.012472027, -0.048562117, 0.017156087, 0.006624358, -0.1335618, 0.06898693, 0.24195383, 0.12748662, 0.2687545, 0.11675469, 0.051591244, 0.060604665, 0.15726678, -0.12029377) * go_7(1.0, -1.0); result += mat4(0.018423952, 0.03342564, -0.02585596, -0.093597226, -0.041045543, -0.2526591, -0.10587788, -0.17330013, 0.26386222, -0.24480952, -0.007416698, 0.14573297, -0.0046972204, 0.19525634, -0.0049372353, -0.08545003) * go_7(1.0, 0.0); result += mat4(0.0025138035, 0.052410353, 0.06759947, -0.06182174, 0.054527503, -0.16857441, 0.1532493, -0.13587067, 0.076711185, 0.3173634, -0.08822435, -0.22298068, -0.014268186, 0.03482756, 0.103789225, 0.059798267) * go_7(1.0, 1.0); result += vec4(0.018433796, 0.0035757907, 0.00091714435, -0.003333423); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x88 //!HOOK MAIN //!BIND conv2d_15_tf //!BIND conv2d_15_tf1 //!BIND conv2d_15_tf2 //!BIND conv2d_15_tf3 //!BIND conv2d_17_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!SAVE conv2d_18_tf //!WIDTH conv2d_15_tf.w //!HEIGHT conv2d_15_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_15_tf_tex(conv2d_15_tf_pos)), 0.0)) #define g_1 (max((conv2d_15_tf1_tex(conv2d_15_tf1_pos)), 0.0)) #define g_2 (max((conv2d_15_tf2_tex(conv2d_15_tf2_pos)), 0.0)) #define g_3 (max((conv2d_15_tf3_tex(conv2d_15_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_15_tf_tex(conv2d_15_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_15_tf1_tex(conv2d_15_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_15_tf2_tex(conv2d_15_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_15_tf3_tex(conv2d_15_tf3_pos)), 0.0)) #define g_8 (max((conv2d_17_tf_tex(conv2d_17_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_17_tf_tex(conv2d_17_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.06333993, 0.09488723, -0.08568035, 0.05200572, -0.1472294, -0.044452854, 0.14845347, 0.21513753, -0.15652965, 0.10840373, -0.056219988, -0.030637205, 0.04253709, 0.055037092, 0.0414908, -0.1892757) * g_0; result += mat4(0.0787534, -0.04241309, -0.28714868, -0.046900865, 0.21437375, -0.24278513, -0.20257188, 0.022188142, -0.019003864, 0.15094592, -0.01814459, -0.1872464, 0.059750058, 0.07614743, -0.0521617, 0.17934658) * g_1; result += mat4(-0.00019216978, -0.15454617, -0.12794366, 0.044536293, 0.21249126, 0.32045737, -0.147422, -0.09734236, -0.12062187, -0.16607423, 0.09816451, -0.06590071, -0.19728394, -0.14778756, 0.017338278, -0.23659901) * g_2; result += mat4(0.074417666, -0.08059618, 0.07767349, -0.03693259, -0.15096827, -0.17373516, -0.20327133, 0.049108338, 0.054858647, 0.015723148, -0.2328269, -0.16492803, 0.12288839, -0.037010916, -0.16224542, -0.19452086) * g_3; result += mat4(-0.1915939, -0.15707129, -0.1509893, 0.28097305, 0.03221469, -0.18564048, -0.27148914, -0.084917046, 0.0059148185, 0.06549851, 0.19273312, -0.20762756, 0.011551308, 0.18630835, 0.07567006, 0.046911348) * g_4; result += mat4(0.01897941, 0.026447995, 0.30203855, -0.10592397, 0.05870943, 0.1054224, 0.14929043, 0.050682828, 0.0028596125, -0.15138957, -0.03117043, -0.06962448, 0.10460237, 0.30631867, 0.15475252, -0.082159385) * g_5; result += mat4(0.056030374, 0.16605477, -0.2011969, 0.0581226, -0.16144355, -0.02808077, 0.010258871, 0.17102659, -0.054532573, 0.3242664, 0.010550339, -0.05370968, -0.014814065, -0.13152799, 0.30049798, 0.122068055) * g_6; result += mat4(0.17697391, 0.074868776, -0.16765091, -0.14493272, 0.21677482, 0.07529925, 0.3344087, -0.35831642, -0.12440452, 0.15675198, -0.01240608, 0.21036354, -0.21215741, 0.18817489, 0.072722636, -0.07215567) * g_7; result += mat4(-0.29419374, 0.043863285, -0.083936326, 0.3729109, 0.18776, -0.16754451, -0.35357738, 0.045188952, -0.23892207, 0.060875878, 0.046727493, 0.39672953, -0.009434926, 0.0181569, -0.12958461, 0.09870838) * g_8; result += mat4(-0.12987071, -0.09597688, 0.2408095, -0.26320508, -0.09014934, -0.1188552, 0.16146885, 0.07402836, 0.35367203, 0.1402623, 0.18618205, -0.25213316, -0.10277592, -0.24674612, -0.32700107, 0.14396617) * g_9; result += mat4(-0.3089205, 0.16185652, 0.27521953, 0.041868176, -0.0022332487, 0.12922727, 0.18001151, 0.027498085, -0.110244, -0.044742703, -0.18411714, -0.06564328, 0.07164282, 0.08585003, 0.106629394, -0.054929875) * g_10; result += mat4(0.16139935, 0.03240059, 0.082769506, -0.18399146, 0.050481632, 0.018776342, -0.111956954, -0.040583946, 0.08147097, -0.04110496, -0.15557489, 0.05611198, -0.25277153, -0.048391934, -0.10089335, 0.12622349) * g_11; result += mat4(-0.2730474, 0.11085952, -0.075156026, -0.14303921, 0.0447421, -0.121895775, -0.35013795, 0.14995758, -0.016281242, 0.033779178, -0.15126662, -0.015176784, 0.040082585, 0.006450913, -0.030723661, -0.058004852) * g_12; result += mat4(0.0403051, 0.20903297, 0.067333676, -0.14318345, 0.16834565, 0.0948365, -0.17433995, 0.07182994, 0.06342598, -0.32021528, 0.048930682, -0.051184237, -0.057208735, -0.16286889, -0.12637149, 0.10992653) * g_13; result += mat4(-0.14312495, -0.049565334, 0.013813875, 0.070963, 0.26302704, -0.0026512244, 0.33206236, -0.16186446, 0.030595824, 0.119594894, 0.3493397, 0.12651123, 0.04868717, 0.15870047, -0.17626017, 0.053944312) * g_14; result += mat4(0.017788881, -0.08985951, 0.0063696383, 0.19405968, 0.06445815, -0.024619186, -0.18900226, -0.030232785, -0.08246631, 0.041897133, 0.089627616, -0.23452254, 0.08906869, 0.09038576, -0.12202178, 0.032400858) * g_15; result += mat4(0.23806943, -0.20720927, -0.19059941, -0.08068674, -0.035527237, -0.15776922, -0.024618277, -0.2444429, 0.05044065, 0.024451984, -0.14015712, 0.16094929, 0.03076579, -0.020462647, -0.20250656, 0.1029075) * g_16; result += mat4(0.047954805, 0.04713052, -0.014320014, 0.11667167, 0.45120004, -0.12177823, -0.11391618, 0.18149075, 0.08473487, 0.14073594, -0.07025125, 0.19289283, 0.083399035, 0.15313184, -0.2289391, -0.27340987) * g_17; result += mat4(-0.031021187, -0.056889966, -0.089950375, 0.08566341, -0.093087964, -0.114104606, 0.20981134, 0.20004368, 0.36221287, 0.09415981, 0.1761312, -0.07357187, 0.15133485, 0.18167816, 0.13953826, -0.108503394) * g_18; result += mat4(-0.04393188, 0.25963497, -0.0330857, 0.050094042, 0.0015226522, 0.09266069, -0.15832978, -0.22114822, 0.063840784, -0.33367425, -0.103081174, 0.01706331, 0.007467705, -0.3628944, -0.10182942, 0.1942455) * g_19; result += mat4(0.23547105, 0.03324374, 0.13732544, -0.18675572, 0.2536437, -0.024418214, 0.1405745, -0.08798336, -0.09310729, -0.088432625, -0.16199891, -0.07790996, -0.16207652, -0.057468604, -0.6186605, 0.84914094) * g_20; result += mat4(-0.10194844, 0.25304326, -0.13665953, -0.042847656, -0.030379621, 0.104918376, 0.07079868, 0.044213004, 0.032054633, 0.11013307, -0.10676529, -0.06577438, -0.0136965765, 0.076344326, 0.2286907, 0.17813052) * g_21; result += vec4(-0.077900425, -0.00413413, 0.020021616, 0.012168936); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x88 //!HOOK MAIN //!BIND conv2d_15_tf //!BIND conv2d_15_tf1 //!BIND conv2d_15_tf2 //!BIND conv2d_15_tf3 //!BIND conv2d_17_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!SAVE conv2d_18_tf1 //!WIDTH conv2d_15_tf.w //!HEIGHT conv2d_15_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_15_tf_tex(conv2d_15_tf_pos)), 0.0)) #define g_1 (max((conv2d_15_tf1_tex(conv2d_15_tf1_pos)), 0.0)) #define g_2 (max((conv2d_15_tf2_tex(conv2d_15_tf2_pos)), 0.0)) #define g_3 (max((conv2d_15_tf3_tex(conv2d_15_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_15_tf_tex(conv2d_15_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_15_tf1_tex(conv2d_15_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_15_tf2_tex(conv2d_15_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_15_tf3_tex(conv2d_15_tf3_pos)), 0.0)) #define g_8 (max((conv2d_17_tf_tex(conv2d_17_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_17_tf_tex(conv2d_17_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.19856872, 0.11904717, -0.064469926, -0.060562156, 0.088999204, 0.34987435, 0.19510469, 0.31565446, -0.22311617, 0.05800273, -0.070240505, 0.07316653, -0.104855716, 0.06083218, -0.19869952, 0.16014937) * g_0; result += mat4(0.25990537, -0.0699571, -0.20297414, -0.14829135, 0.12648308, -0.10045799, 0.16074577, 0.018881219, -0.13109452, -0.07432639, -0.07032176, -0.016821157, -0.27503675, 0.019903673, -0.14726853, -0.031217257) * g_1; result += mat4(-0.06882065, -0.00869124, -0.08228761, -0.09555077, 0.10960049, 0.1492122, -0.030764349, -0.013157832, -0.0692061, 0.045005288, 0.22895455, 0.031483006, -0.012937336, 0.23743461, -0.03126466, -0.035970267) * g_2; result += mat4(0.22776505, -0.15405187, -0.27868515, 0.06471627, 0.31427258, 0.1402745, 0.06863169, -0.051754337, 0.10026417, -0.2574256, -0.08802628, 0.068399504, 0.071888685, 0.022936821, -0.12540928, -0.015080033) * g_3; result += mat4(-0.039721105, -0.14838658, 0.24391836, -0.069194034, -0.16316739, 0.13536945, -0.13266453, -0.004489543, 0.18704645, -0.04657965, 0.025766708, -0.1476673, 0.27578717, -0.009918311, -0.27262732, 0.16296776) * g_4; result += mat4(-0.05249631, -0.2803283, 0.13727781, -0.09695497, -0.24535981, 0.10808846, 0.0022599236, 0.12974386, -0.07886284, 0.015886888, 0.037709296, -0.034715742, 0.048587516, -0.026816653, -0.04620663, 0.009604917) * g_5; result += mat4(0.20355739, 0.26263452, -0.016582636, -0.088004105, 0.0283301, -0.1646068, -0.14768231, 0.06584749, 0.09362991, 0.073038615, 0.03585095, 0.14700644, 0.30650404, 0.115159705, 0.094853185, 0.1412418) * g_6; result += mat4(0.19348627, 0.02455195, 0.04202425, -0.10602589, -0.087195724, 0.16053778, -0.15648113, -0.21084791, 0.119239464, 0.29533407, -0.23261383, -0.27815127, -0.030562209, -0.016111122, 0.029648153, 0.15206608) * g_7; result += mat4(0.03864564, -0.013641563, 0.008269305, 0.08444338, -0.37716612, -0.119036004, -0.37552136, 0.22999282, -0.03647035, 0.11136046, -0.11673442, -0.22254193, -0.31966165, 0.30993468, 0.26735285, -0.11855201) * g_8; result += mat4(-0.14826044, 0.08726846, -0.02775652, 0.095674574, 0.0414766, -0.11637243, 0.22545882, 0.024133151, -0.22550999, 0.17247951, 0.008702564, 0.015936209, 0.08907862, -0.1164228, -0.18179186, -0.088854164) * g_9; result += mat4(0.043506436, -0.22450508, 0.3010276, 0.109547526, 0.18712491, 0.086767204, -0.058926016, -0.0066756974, -0.035483465, 0.00068262784, 0.053788308, 0.11970851, -0.02235205, -0.254944, -0.12766762, -0.03977307) * g_10; result += mat4(0.18281984, 0.05554126, -0.009539485, 0.043676183, -0.007973203, -0.033897012, -0.10886124, -0.045664012, 0.18444513, 0.10041875, -0.13144056, -0.30685145, -0.23832887, 0.15063612, 0.03259291, 0.13059925) * g_11; result += mat4(-0.18238647, -0.24912533, 0.0064255036, 0.20445079, 0.071332455, -0.24193963, 0.058854166, 0.15322176, 0.08335828, 0.08328783, -0.120153025, -0.05942993, -0.10702824, 0.17542586, 0.27479908, 0.2176634) * g_12; result += mat4(0.08722579, 0.22445773, -0.22038916, -0.1705768, -0.33885807, 0.2610493, -0.14401726, 0.036701087, 0.05118682, 0.016674992, 0.017907443, 0.33134872, 0.24759968, -0.2189978, 0.17513935, -0.31552628) * g_13; result += mat4(0.09722241, 0.09016698, 0.0020826897, 0.014243476, -0.09178259, 0.26038414, -0.119483896, 0.06568409, 0.112089686, -0.1854509, -0.0032295822, 0.082286656, -0.20125629, 0.36961597, -0.15095985, 0.090025686) * g_14; result += mat4(-0.03207223, -0.016992198, -0.019505465, -0.3158222, -0.15192394, 0.18241268, -0.3502777, 0.05187207, 0.16714574, -0.067549706, -0.08512221, 0.03171733, -0.21070172, -0.14597628, 0.16120993, -0.002882248) * g_15; result += mat4(0.06358728, 0.06935574, -0.065100305, 0.02331908, 0.20260555, 0.14417367, 0.11311691, 0.041373946, -0.17366521, -0.24190584, 0.14318806, -0.12791471, -0.005797247, -0.01352598, 0.09355765, 0.08071775) * g_16; result += mat4(-0.21877107, -0.06376343, 0.015047983, -0.05071754, 0.24015504, -0.096376784, -0.050906435, -0.108564705, 0.0022815794, 0.10404753, -0.017777193, -0.18843737, 0.33381376, -0.009765667, 0.10630329, 0.04319869) * g_17; result += mat4(0.03913534, -0.18320137, -0.1895394, -0.35816035, 0.06605666, 0.14718485, 0.0705968, 0.03142451, -0.018191794, -0.03973546, 0.09669648, -0.06763489, 0.077504024, 0.22267477, -0.3280302, 0.051078096) * g_18; result += mat4(0.17017639, 0.048948385, 0.17666607, 0.28847146, -0.27951127, -0.2408892, -0.3000307, 0.1043314, 0.0788232, -0.13186172, -0.20950924, -0.11522397, -0.24694261, 0.1315647, -0.11994133, 0.09964028) * g_19; result += mat4(-0.03482202, -0.21670073, -0.24369243, 0.048367083, -0.3383805, -0.28556088, -0.05187166, -0.04785393, -0.056278072, -0.0046066013, -0.10573621, -0.12896368, 0.02629063, -0.07221729, 0.349292, -0.06192709) * g_20; result += mat4(-0.14670531, 0.02437431, 0.18400094, -0.18659692, 0.2216187, 0.034236856, -0.12323594, 0.1603975, 0.22086559, -0.0026523015, -0.13258888, 0.12981693, -0.033014633, 0.105112545, 0.03881624, -0.08425293) * g_21; result += vec4(0.0119343875, -0.042267065, 0.010792121, 0.007296717); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x88 //!HOOK MAIN //!BIND conv2d_15_tf //!BIND conv2d_15_tf1 //!BIND conv2d_15_tf2 //!BIND conv2d_15_tf3 //!BIND conv2d_17_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!SAVE conv2d_18_tf2 //!WIDTH conv2d_15_tf.w //!HEIGHT conv2d_15_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_15_tf_tex(conv2d_15_tf_pos)), 0.0)) #define g_1 (max((conv2d_15_tf1_tex(conv2d_15_tf1_pos)), 0.0)) #define g_2 (max((conv2d_15_tf2_tex(conv2d_15_tf2_pos)), 0.0)) #define g_3 (max((conv2d_15_tf3_tex(conv2d_15_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_15_tf_tex(conv2d_15_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_15_tf1_tex(conv2d_15_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_15_tf2_tex(conv2d_15_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_15_tf3_tex(conv2d_15_tf3_pos)), 0.0)) #define g_8 (max((conv2d_17_tf_tex(conv2d_17_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_17_tf_tex(conv2d_17_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.12408465, -0.16741575, 0.06765819, -0.15944858, -0.19950457, -0.1716973, 0.048808597, 0.043000113, 0.007647513, 0.13003102, 0.06868207, -0.0016408832, -0.24698295, 0.033724148, 0.26656294, -0.04168408) * g_0; result += mat4(0.025299544, -0.2481157, -0.07735063, 0.07958534, 0.04743938, 0.123626634, 0.14503284, -0.200222, 0.20223439, 0.08858626, -0.37553144, 0.02513245, 0.09171499, 0.08145674, -0.028931713, 0.04081231) * g_1; result += mat4(-0.04600147, 0.14647272, 0.18308495, 0.06990148, -0.06455617, 0.09861496, -0.13262698, 0.16287735, 0.06737012, 0.03652816, -0.22811131, -0.064241834, -0.035340827, 0.29290062, -0.022302201, -0.19858247) * g_2; result += mat4(-0.11037198, 0.12009516, -0.14232409, 0.2716094, -0.04082168, -0.10308978, -0.18808627, -0.017621756, -0.031254657, -0.26940623, 0.24271232, -0.1467802, 0.10700058, -0.18850107, -0.08067445, -0.017454604) * g_3; result += mat4(-0.090594314, -0.019169644, -0.029233063, 0.34922495, -0.22969832, 0.04161748, 0.0016718027, -0.13671273, 0.20134616, -0.01069757, -0.41116753, 0.011301641, -0.093161866, -0.0598387, -0.20625715, -0.04319863) * g_4; result += mat4(0.1400459, -0.08488729, -0.14534405, 0.13608801, 0.054499432, 0.013480982, -0.115060575, -0.051957313, -0.11556034, -0.06907556, 0.2383428, -0.0032338845, -0.015882459, 0.24332793, -0.29487756, -0.31111467) * g_5; result += mat4(0.0035557884, -0.10662409, -0.167661, -0.038467426, 0.0067648925, -0.14742504, -0.15988947, -0.18424144, -0.015692392, 0.024426097, 0.18659574, -0.06826323, -0.098989435, -0.120715715, -0.012542293, -0.012921739) * g_6; result += mat4(-0.22045317, -0.039446186, 0.02062722, 0.04877487, 0.057328302, 0.107455134, -0.24580365, 0.084131025, 0.028729152, 0.4286281, -0.05177413, 0.23257121, 0.08110685, -0.22814348, -0.041566104, 0.2465172) * g_7; result += mat4(0.37156427, 0.26804617, 0.20049824, -0.021026293, 0.13211878, 0.040705554, 0.002239553, 0.20452338, -0.030344317, 0.099040724, 0.3838666, 0.055573136, 0.27482164, 0.23077035, -0.017845538, -0.26252562) * g_8; result += mat4(-0.25934902, 0.04962634, -0.11156898, -0.07086993, 0.12231552, -0.040678304, 0.16707222, -0.068827145, -0.20247164, 0.16845146, 0.21900423, -0.40101337, -0.20267262, 0.012057886, -0.16219872, 0.042600926) * g_9; result += mat4(0.076830566, 0.07031241, 0.23169716, -0.028218819, 0.12506121, -0.19878168, 0.14684094, 0.0931965, 0.20331647, -0.12333559, 0.22961548, -0.15381584, 0.08874619, 0.14223523, 0.16359226, -0.28227505) * g_10; result += mat4(-0.052383065, -0.078102276, 0.065739855, 0.0415868, -0.07094788, 0.16164882, 0.043656457, -0.0960344, -0.22771464, 0.13144033, -0.1159355, 0.046441697, -0.24606496, -0.25741673, 0.004535607, -0.0065205614) * g_11; result += mat4(0.23244801, -0.31457657, -0.10946917, -0.3663475, 0.17705315, 0.05067217, -0.1933483, 0.027725892, 0.03238109, 0.16744693, -0.057594296, -0.07276957, 0.03234641, -0.1372411, -0.08171865, -0.12950452) * g_12; result += mat4(-0.15673116, 0.19919762, -0.10481654, 0.10979371, 0.04279017, 0.022970842, 0.041732438, 0.043996546, 0.010470399, 0.040505856, -0.03274834, 0.0009573305, 0.08111623, 0.047052007, -0.15586549, 0.04683318) * g_13; result += mat4(-0.24751675, -0.08296508, 0.11407727, -0.2166629, 0.26892385, 0.24061169, 0.13039055, -0.025301076, 0.112557106, 0.33924893, -0.26320595, -0.3333313, -0.18867135, -0.15030354, -0.41406167, 0.049163118) * g_14; result += mat4(0.1665652, -0.21874574, 0.028786177, 0.2146646, -0.015547626, -0.012667473, 0.10428667, 0.14486806, -0.03420849, -0.012048649, 0.2303649, 0.17137095, -0.16784278, 0.08330269, 0.15572217, -0.08734928) * g_15; result += mat4(-0.191288, -0.2011081, -0.16282842, -0.16686897, 0.11942609, -0.14166519, 0.01405599, 0.18117349, -0.096682444, 0.010184171, -0.023849446, 0.17224887, 0.30125615, -0.06356407, 0.103124686, 0.014888768) * g_16; result += mat4(0.25378457, 0.075565144, -0.19106098, -0.14747557, -0.15002617, 0.028056031, -0.0025413758, 0.07962606, -0.015789257, -0.17432348, 0.12131772, -0.055529855, -0.041077815, -0.19829613, 0.13878337, -0.24223712) * g_17; result += mat4(-0.29446965, 0.15235735, 0.06717627, -0.015626365, 0.014169811, 0.07045108, 0.10471683, -0.05982132, -0.13769852, 0.12853971, 0.1119684, -0.14485933, -0.075092256, 0.24838834, 0.0017574847, -0.0804142) * g_18; result += mat4(0.24836873, 0.00066609884, -0.13763703, 0.14340822, -0.14462134, -0.038759258, -0.09077153, -0.0441944, 0.10637402, -0.18241063, 0.0067824926, 0.13309585, 0.07101235, -0.051455706, 0.06795849, 0.31597748) * g_19; result += mat4(0.25393802, 0.19519086, -0.18530098, 0.049162578, -0.008795799, 0.36194384, -0.00040475396, -0.27478936, 0.22377892, -0.18955742, 0.30927923, -0.21051413, 0.36050028, 0.028015982, 0.050072942, 0.5546838) * g_20; result += mat4(0.075164825, -0.044605773, -0.14191186, 0.21589251, -0.18884787, 0.011185897, 0.17542075, 0.1676064, -0.2930037, 0.21933044, -0.035698287, 0.070793465, -0.16923343, -0.09259949, -0.11534973, 0.060004164) * g_21; result += vec4(-0.0090077715, -0.014536999, 0.043094933, -0.0062093455); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x88 //!HOOK MAIN //!BIND conv2d_15_tf //!BIND conv2d_15_tf1 //!BIND conv2d_15_tf2 //!BIND conv2d_15_tf3 //!BIND conv2d_17_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!SAVE conv2d_18_tf3 //!WIDTH conv2d_15_tf.w //!HEIGHT conv2d_15_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_15_tf_tex(conv2d_15_tf_pos)), 0.0)) #define g_1 (max((conv2d_15_tf1_tex(conv2d_15_tf1_pos)), 0.0)) #define g_2 (max((conv2d_15_tf2_tex(conv2d_15_tf2_pos)), 0.0)) #define g_3 (max((conv2d_15_tf3_tex(conv2d_15_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_15_tf_tex(conv2d_15_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_15_tf1_tex(conv2d_15_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_15_tf2_tex(conv2d_15_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_15_tf3_tex(conv2d_15_tf3_pos)), 0.0)) #define g_8 (max((conv2d_17_tf_tex(conv2d_17_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_17_tf_tex(conv2d_17_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.0752077, -0.0029171302, -0.27563673, -0.014811605, 0.02846672, 0.032712437, 0.23822306, -0.05769253, -0.15474099, 0.093151525, 0.06375694, -0.13745429, -0.04572417, 0.3199813, -0.022760388, 0.16357492) * g_0; result += mat4(0.02650099, 0.0128598865, -0.13053481, 0.037058145, -0.055677533, -0.079210766, -0.03356954, 0.1069868, -0.07710097, 0.12506554, -0.13472609, -0.026160635, 0.1821316, 0.052085042, -0.19033344, -0.090145096) * g_1; result += mat4(-0.03734377, 0.07147657, 0.10820697, -0.024222745, 0.1403612, -0.1505265, -0.17980108, 0.26694953, 0.0217602, 0.037542872, -0.08249127, 0.042201407, 0.2006786, -0.059707034, 0.03880093, -0.1826765) * g_2; result += mat4(-0.11878983, -0.28029415, -0.04900442, -0.13629057, -0.05066402, -0.05337549, 0.07343749, -0.1209636, 0.16849558, -0.106414795, 0.05464871, 0.17617467, -0.2489627, 0.29946232, -0.123174965, 0.056576844) * g_3; result += mat4(-0.17408213, 0.09776442, 0.057589754, 0.18333124, -0.09720728, 0.16222644, -0.005483807, 0.15910664, 0.30478597, 0.014245162, -0.31090343, 0.06744939, 0.019972727, -0.113528624, 0.10990966, -0.10937443) * g_4; result += mat4(0.12755792, 0.16373649, 0.019118445, 0.21310984, -0.10995382, -0.08398977, 0.0009497389, -0.12245982, -0.25080305, 0.26576582, 0.073143534, 0.09062886, 0.3211899, -0.012361862, -0.094413824, 0.016505178) * g_5; result += mat4(0.04496885, 0.057987563, -0.06828201, -0.25538024, -0.25729346, 0.1581948, -0.08318907, -0.26187086, -0.06994225, -0.0108814975, 0.27547085, 0.19735947, -0.25765172, 0.23375468, -0.02491318, 0.19695699) * g_6; result += mat4(-0.18447195, 0.3949247, 0.23520981, 0.16501734, 0.014326944, -0.21483032, -0.09887618, -0.1530724, 0.087982565, -0.30155778, -0.09407708, -0.07609285, 0.12439066, -0.046371937, -0.10052105, 0.042462338) * g_7; result += mat4(0.45384184, 0.23962094, -0.09288032, 0.43883595, 0.017768994, -0.28214878, -0.30303338, 0.06788283, 0.23333043, 0.012060692, 0.08277374, 0.18042035, 0.18759233, -0.009545223, -0.027723255, 0.016402755) * g_8; result += mat4(-0.3158644, -0.1611719, -0.044279657, -0.03122654, 0.20287034, 0.19071461, -0.032826696, -0.25104183, 0.03608647, -0.027464861, 0.118140586, -0.016250696, -0.2791853, -0.15649952, -0.17356332, -0.0036406678) * g_9; result += mat4(0.037999913, 0.0075079957, -0.03212704, 0.06418637, -0.069481015, 0.012727689, 0.1326516, 0.21288529, -0.24180269, -0.05297486, -0.06864697, -0.1550755, -0.11256537, 0.34002435, -0.08510081, 0.18888487) * g_10; result += mat4(-0.16029695, -0.04566749, -0.14091927, 0.13358699, -0.10535976, 0.0039140307, -0.023005482, -0.011232076, 0.3731448, -0.08050772, 0.24036883, 0.003388208, 0.2694246, -0.10064168, -0.09378355, 0.08715414) * g_11; result += mat4(-0.009987239, -0.16815887, 0.079718135, 0.3046235, 0.08460679, 0.010675847, 0.026123201, 0.042994894, 0.14086412, 0.16343307, 0.030049993, -0.13560392, -0.028959347, -0.051606726, 0.20051792, 0.2660683) * g_12; result += mat4(-0.041822806, -0.059724808, 0.03475158, -0.21370164, 0.2706948, 0.029740596, -0.045692813, -0.18892711, -0.072185665, -0.033861183, -0.1753473, -0.15868294, -0.04698167, -0.15849903, -0.10530276, 0.09699679) * g_13; result += mat4(-0.14366704, 0.0054797325, 0.019186102, 0.2016934, -0.12337197, 0.03666924, -0.08487317, -0.02910447, 0.19810423, 0.19303478, -0.12032341, 0.012882501, 0.07518216, -0.16929416, 0.11856349, 0.19008183) * g_14; result += mat4(0.29109573, -0.2495297, -0.23351379, 0.06592844, 0.22335382, -0.12432068, 0.23873796, 0.03394475, -0.111712426, -0.031314444, 0.042552706, 0.26120943, -0.100280665, 0.33024225, 0.00090209645, 0.08790097) * g_15; result += mat4(0.19417305, 0.019389676, -0.0022192579, -0.10152884, -0.07527296, 0.09672377, 0.1896058, -0.08312996, -0.098250404, -0.005925583, -0.080828406, -0.04157932, -0.2395506, -0.2046314, -0.18201615, -0.23270196) * g_16; result += mat4(-0.14487964, -0.06290274, 0.041151002, 0.069312826, -0.036889106, -0.026325129, -0.06404841, -0.070130795, 0.19873784, 0.008724542, 0.33345434, -0.12738648, 0.010419843, 0.0016074138, 0.028482364, -0.05086976) * g_17; result += mat4(-0.2099938, 0.22374807, 0.0014840614, -0.09744533, -0.36373836, 0.070096895, 0.18809755, 0.055123232, -0.12190152, -0.089326, 0.037977137, -0.2779433, -0.0022680282, 0.1324952, 0.19014698, 0.11292094) * g_18; result += mat4(0.0045333416, -0.27289414, -0.10013291, 0.03997672, 0.18506177, 0.15360181, 0.0620571, 0.18008661, 0.03184327, -0.047722574, 0.21967985, 0.12443793, 0.11032391, 0.016790923, -0.32427138, 0.11624099) * g_19; result += mat4(0.098094285, -0.017424708, -0.13152607, -0.14184679, -0.2696629, 0.026611622, 0.4969703, -0.23566079, 0.18346384, 0.17655236, 0.046510983, 0.20738232, -0.08645157, 0.25616655, 0.1875624, 0.22396664) * g_20; result += mat4(-0.049922127, -0.026013017, 0.17512889, 0.18352829, 0.22210887, 0.008942828, 0.004796096, -0.08654042, 0.0025269054, -0.1767342, -0.05939487, -0.27815545, -0.058232002, -0.033121955, 0.14671248, 0.24188647) * g_21; result += vec4(0.0011495166, -0.055540904, 0.0047202418, 0.03799147); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_18_tf //!BIND conv2d_18_tf1 //!BIND conv2d_18_tf2 //!BIND conv2d_18_tf3 //!SAVE conv2d_20_tf //!WIDTH conv2d_18_tf.w //!HEIGHT conv2d_18_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_18_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_18_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_18_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_18_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_18_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_18_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_18_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_18_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.044937417, 0.048447855, 0.083308615, 0.092284754, -0.0181884, -0.074617974, -0.09839621, -0.016019326, 0.18228799, -0.0033461945, 0.0031036607, 0.067903504, 0.02840241, 0.004259963, -0.07799968, -0.15254761) * go_0(-1.0, -1.0); result += mat4(-0.074605174, -0.021673577, -0.024128562, 0.2274735, -0.04754136, -0.0072301123, 0.044593625, 0.06290077, -0.07341891, -0.11062263, 0.015977673, 0.13271153, 0.0125340205, -0.30848256, -0.0294588, -0.058981024) * go_0(-1.0, 0.0); result += mat4(-0.06880596, 0.07861734, 0.06230101, -0.21278046, -0.015175281, 0.051755223, -0.05062869, 0.07665549, -9.789482e-05, 0.017449457, -0.03148236, 0.032569613, -0.16927092, 0.04140039, 0.13179661, -0.11682168) * go_0(-1.0, 1.0); result += mat4(-0.11754224, 0.095256306, -0.0267522, 0.117244296, -0.06679038, -0.14423116, 0.008753021, -0.13522816, 0.32430363, -0.07516473, 0.0884106, 0.109716386, 0.01316052, 0.1265721, -0.08230337, -0.16951492) * go_0(0.0, -1.0); result += mat4(0.052862044, -0.1066403, -0.15742472, -0.021761592, 0.04103098, 0.0069331047, -0.10831112, 0.16824234, -0.039246615, -0.104807, -0.1276423, 0.18865128, -0.006320688, -0.048721224, 0.039028827, 0.034621365) * go_0(0.0, 0.0); result += mat4(-0.13396205, -0.037514646, 0.03854674, -0.11708971, -0.04473296, -0.0427142, -0.03922634, -0.012055486, -0.0713734, -0.052256644, 0.09374825, 0.10671724, -0.11720148, 0.015559748, -0.068319045, 0.03940586) * go_0(0.0, 1.0); result += mat4(0.07766306, 0.10215098, 0.06919037, -0.17507964, -0.0224577, -0.09488675, 0.037218474, 0.12245416, 0.002906219, -0.14230973, -0.15529205, -0.012410999, 0.050543465, 0.25078198, -0.076290086, -0.09539849) * go_0(1.0, -1.0); result += mat4(-0.24771377, 0.29934087, 0.36741728, -0.081612505, -0.09421008, -0.03338117, 0.00770625, -0.0807573, 0.05629427, -0.13825126, -0.093152806, -0.14876693, 0.124724984, 0.11831619, 0.0093180025, 0.008178739) * go_0(1.0, 0.0); result += mat4(-0.19953942, 0.13807932, 0.063479654, 0.055287417, 0.062464323, 0.08311073, -0.1212773, -0.058174774, -0.054694623, 0.00278662, 0.04164216, 0.024520626, -0.0028598052, 0.13241982, -0.08831944, -0.103147596) * go_0(1.0, 1.0); result += mat4(-0.0967617, 0.016865727, 0.033930458, -0.067517124, -0.08143233, 0.11248768, 0.16044517, -0.0918291, 0.11352542, 0.13249189, 0.079262465, -0.14966244, 0.16825606, 0.13976356, -0.018672522, 0.06830547) * go_1(-1.0, -1.0); result += mat4(0.020573644, -0.07627649, 0.13454644, -0.10299404, 0.03338702, 0.19456132, 0.21792425, -0.043921873, -0.11219595, 0.10156094, 0.34819186, -0.17428596, 0.010211143, 0.012615089, 0.14706622, 0.13036577) * go_1(-1.0, 0.0); result += mat4(-0.09807624, 0.053031713, 0.010114223, 0.11387094, -0.12416189, -0.05332428, 0.11184832, -0.063775964, -0.060522594, -0.10235956, 0.19231878, 0.037564367, -0.045896467, -0.25912943, -0.0051183715, 0.029018847) * go_1(-1.0, 1.0); result += mat4(-0.04231676, -0.028609525, 0.057871167, -0.1361291, 0.073622614, 0.15908286, -0.02605266, -0.14374852, -0.17682624, 0.06470609, -0.062141493, 0.13539086, 0.039907347, 0.17547756, -0.10069048, 0.14575362) * go_1(0.0, -1.0); result += mat4(0.14781195, -0.1207278, 0.10171179, -0.012158863, -0.0648726, -0.05067717, -0.108461335, 0.09611601, -0.22471888, -0.041238673, 0.42109078, -0.023078883, 0.005550056, 0.14077905, -0.07702439, -0.17981862) * go_1(0.0, 0.0); result += mat4(-0.08222549, -0.25220507, 0.07068236, -0.09501228, -0.058567703, 0.18078758, 0.08493963, -0.04706646, -0.07752385, 0.22867827, 0.43284795, -0.119005986, 0.11396432, 0.03755704, -0.13391183, -0.045842096) * go_1(0.0, 1.0); result += mat4(-0.029319478, -0.031345777, -0.04146813, -0.18742836, 0.05656507, -0.04932647, -0.04031392, 0.04714981, 0.09905856, -0.1557463, 0.22732857, 0.124624394, -0.027559387, -0.0631443, -0.11783128, -0.068318576) * go_1(1.0, -1.0); result += mat4(0.036678102, -0.04496146, 0.053592633, -0.017061822, -0.16011058, -0.018597312, -0.04795915, -0.19371147, 0.013877209, -0.16219841, 0.3344047, 0.22396322, 0.1655194, 0.018836739, 0.0066360724, -0.041264933) * go_1(1.0, 0.0); result += mat4(0.17590195, -0.21852443, -0.063316286, -0.14840998, 0.08429532, 0.099983774, -0.09637425, -0.12383555, -0.46428207, 0.28052437, 0.23529863, 0.31109875, -0.021004857, 0.03629119, 0.02174644, -0.06345743) * go_1(1.0, 1.0); result += mat4(0.0033629127, 0.25259435, -0.06322473, -0.06795082, -0.060908336, -0.021225693, -0.0011893079, -0.00523214, 0.07534854, -0.12201404, 0.00017070201, 0.17880718, 0.14248244, 0.09638889, 0.013353205, -0.06181964) * go_2(-1.0, -1.0); result += mat4(0.01065417, 0.12393771, -0.034842763, -0.07509877, -0.15372895, 0.016765343, 0.09254217, 0.12257388, 0.022180652, -0.030108888, 0.07577313, 0.35234603, 0.10218102, 0.03712338, -0.02331717, 0.026395774) * go_2(-1.0, 0.0); result += mat4(0.034914777, -0.024654558, -0.07092997, -0.10597986, 0.021626685, 0.0778654, 0.03075065, 0.12987527, -0.10354716, 0.24356553, 0.0047885147, 0.15563188, -0.08935487, -0.0036677858, -0.081980035, 0.065517485) * go_2(-1.0, 1.0); result += mat4(-0.0030894869, -0.07042775, 0.07033567, 0.0007813812, -0.0045792167, 0.0067564882, 0.08738557, 0.013517325, 0.027216235, -0.30188036, 0.16504927, 0.108619414, 0.12235739, -0.019714208, -1.917685e-05, -0.009782368) * go_2(0.0, -1.0); result += mat4(0.18741177, -0.009456037, 0.11263775, 0.068504825, 0.17653711, -0.13130501, 0.07111923, 0.14623673, -0.0784866, 0.018973308, -0.18667376, -0.0030729955, -0.21694791, -0.09208482, -0.09062837, -0.03970734) * go_2(0.0, 0.0); result += mat4(0.027665026, 0.12481046, -0.0032814168, -0.084358685, -0.037114885, -0.04781222, -0.035071872, -0.007481581, 0.08721501, 0.030526934, -0.1601082, 0.12486214, -0.106055416, 0.0029791344, 0.17318581, 0.12410092) * go_2(0.0, 1.0); result += mat4(0.118337214, 0.03615044, 0.04502058, 0.08257654, 0.025757724, 0.03670688, 0.034917187, -0.10173083, -0.006062918, -0.2945267, 0.06369701, 0.0137756625, -0.016772032, 0.15557672, 0.0049166935, 0.0656083) * go_2(1.0, -1.0); result += mat4(0.022286592, 0.14136387, -0.02238988, -0.061914526, -0.13922122, -0.10147098, -0.16373332, -0.040234692, 0.07255956, -0.23892853, 0.027203718, -0.053363908, 0.07188231, 0.07167074, -0.089111716, -0.092501454) * go_2(1.0, 0.0); result += mat4(0.11419243, 0.10572503, 0.012458144, 0.14847183, -0.07630887, -0.1240132, -0.11097759, 0.006272337, -0.20672877, -0.002584412, -0.2864884, 0.07989555, 0.17726102, 0.12609701, -0.1207267, -0.08164101) * go_2(1.0, 1.0); result += mat4(0.0568376, 0.038211502, 0.12871593, 0.038896654, 0.14495145, -0.02272981, 0.16328958, -0.12590832, -0.11422924, 0.027326366, -0.10373723, 0.042205583, -0.11788447, 0.09674761, -0.009186724, 0.12916812) * go_3(-1.0, -1.0); result += mat4(0.25162545, -3.3890476e-05, 0.08703825, -0.11607008, 0.043662522, 0.07685117, -0.078283735, 0.08058169, 0.14562704, 0.1263126, 0.025494901, 0.1434209, 0.0058127, 0.22206631, 0.056236282, 0.03112681) * go_3(-1.0, 0.0); result += mat4(0.1508685, 0.14413457, -0.12965852, -0.0767775, 0.02239246, 0.0486881, 0.02708027, 0.13305739, -0.073364966, -0.23306695, -0.015565839, 0.20494083, 0.045842633, 0.05245319, -0.089223884, -0.19746971) * go_3(-1.0, 1.0); result += mat4(0.03407531, -0.0199329, 0.027199576, 0.053895712, 0.10523401, -0.00079743547, -0.01529229, -0.15297304, -0.13332592, -0.060349334, 0.0061332216, 0.18814796, 0.012662228, 0.0073347082, -0.003916167, -0.049153768) * go_3(0.0, -1.0); result += mat4(0.21898924, -0.14015318, -0.01880963, 0.024525873, -0.018284999, -0.03600013, 0.1471339, -0.11856043, -0.082241, -0.05110251, 0.0058987355, 0.16994491, -0.084030256, -0.014700169, -0.019073943, -0.0005540768) * go_3(0.0, 0.0); result += mat4(0.07361808, 0.11753613, -0.17573234, 0.10069508, -0.07894968, 0.09821436, -0.04819396, 0.1710404, -0.06865986, -0.21991591, -0.08604316, 0.11743923, 0.16363063, -0.0044579147, 0.073955975, 0.13638073) * go_3(0.0, 1.0); result += mat4(0.17112228, 0.114324905, -0.036968656, -0.0061882585, -0.006032986, 0.05828771, 0.085324764, -0.062027562, 0.037088934, 0.032255128, -0.03592664, -0.19114986, -0.0286621, -0.010474721, -0.08184074, -0.0767977) * go_3(1.0, -1.0); result += mat4(0.22109716, 0.042693872, 0.012977061, 0.12626338, -0.07328396, -0.1132474, -0.05768092, 0.091643445, 0.070683114, -0.28736666, -0.102677405, 0.22341383, -0.036884498, 0.048239507, -0.15111351, 0.022938028) * go_3(1.0, 0.0); result += mat4(0.17241299, -0.14343849, 0.1457155, 0.23233247, -0.009644811, -0.07371276, -0.10846692, 0.119923145, -0.11526157, 0.009521168, -0.08990165, 0.042389054, 0.12759185, -0.04057633, 0.13556476, -0.0750476) * go_3(1.0, 1.0); result += mat4(-0.07057242, -0.046533734, -0.09127049, -0.12572412, 0.28842014, 0.085501306, -0.01678872, -0.02594478, -0.23138525, -0.008161634, 0.0021849584, 0.24040027, -0.07196583, -0.04965109, 0.061478186, 0.041812465) * go_4(-1.0, -1.0); result += mat4(0.19036561, -0.11583304, -0.22355288, -0.14028679, -0.19531016, -0.02589591, -0.21036756, 0.0035499155, -0.004294659, 0.04542862, 0.1055855, 0.024736254, 0.13763857, 0.05766982, 0.056523565, 0.028325588) * go_4(-1.0, 0.0); result += mat4(0.11237154, 0.043256927, 0.017431485, -0.0063742045, -0.028992388, 0.23557092, 0.048805054, -0.057487488, 0.054092478, 0.04279068, 0.09719473, 0.074141964, -0.05562619, 0.06459983, 0.028208548, -0.08197527) * go_4(-1.0, 1.0); result += mat4(0.09675773, 0.06187072, -0.120159745, 0.0363127, 0.068880804, 0.11438982, -0.21400967, -0.034944117, -0.2789711, -0.025760768, 0.12704164, 0.14817503, -0.113694414, -0.023896972, 0.056133054, 0.12856814) * go_4(0.0, -1.0); result += mat4(-0.039551336, 0.02414355, 0.046248544, 0.08297268, 0.2777636, 0.0395731, -0.29962054, -0.062017623, -0.056899525, 0.11770196, 0.073587514, 0.03227282, 0.06346027, 0.14693345, 0.040321756, 0.17926331) * go_4(0.0, 0.0); result += mat4(-0.03262714, 0.04432936, -0.010022308, 0.06866386, -0.023532862, 0.1279886, -0.13090476, 0.088888384, -0.10617142, 0.018608363, 0.024575554, 0.07597439, -0.13128175, 0.0627398, -0.03188158, -0.12345985) * go_4(0.0, 1.0); result += mat4(0.22050938, 0.09904495, -0.064640984, 0.176781, 0.13351202, -0.17335273, 0.022876775, 0.1470234, -0.0487661, -0.01561562, -0.052204117, -0.032184783, 0.15990984, -0.026727494, 0.21689259, -0.08648963) * go_4(1.0, -1.0); result += mat4(0.1310737, -0.09932602, -0.06940647, 0.099468544, -0.16164872, 0.15766169, -0.1477972, 0.09341531, -0.026328826, 0.04440307, 0.02531873, -0.07123685, -0.17359257, 0.012940533, 0.15596846, 0.10485768) * go_4(1.0, 0.0); result += mat4(-0.022599395, -0.020247133, 0.009991452, -0.05430967, 0.1280059, -0.12089965, -0.2174703, -0.07056124, -0.14782687, -0.0008365381, 0.123130105, 0.025005372, 0.0036068684, -0.10402044, -0.0009908049, -0.054808475) * go_4(1.0, 1.0); result += mat4(0.030255707, 0.09742665, -0.14504671, 0.04289667, -0.09251999, -0.01946357, -0.012327684, 0.036804516, 0.03163578, -0.10249547, -0.014813775, -0.00026111543, -0.17179371, 0.13949569, -0.002388145, 0.16666071) * go_5(-1.0, -1.0); result += mat4(0.24199614, 0.047389742, 0.07160782, -0.069903806, 0.091209106, 0.0046723653, -0.20447905, -0.27765435, -0.030525608, 0.014136673, -0.17410484, 0.0042117727, -0.09667215, 0.07767184, -0.16025436, -0.01711868) * go_5(-1.0, 0.0); result += mat4(0.032093786, 0.008447192, -0.2242103, 0.15991135, 0.03642655, -0.19743109, 0.096700616, 0.09572071, 0.07189276, 0.04323664, -0.13420205, -0.036304954, 0.18866757, 0.05249209, 0.02258907, 0.043603756) * go_5(-1.0, 1.0); result += mat4(0.21241972, -0.020528294, 0.013225208, 0.0032435162, -0.13307743, 0.073513694, -0.05515645, 0.06746327, 0.012730669, -0.069440864, 0.061683428, -0.020925932, -0.1625713, -0.27553958, 0.048129015, 0.024371317) * go_5(0.0, -1.0); result += mat4(0.042910665, -0.006088536, -0.0977882, 0.25844765, 0.056927476, -0.102052286, 0.0383438, -0.14567667, -0.10850187, 0.09887437, -0.074544564, -0.036828544, 0.09705893, 0.005408503, 0.08691096, -0.009896828) * go_5(0.0, 0.0); result += mat4(0.08804541, 0.2759786, -0.3219349, 0.006462185, -0.02274468, -0.25201473, 0.06960456, 0.09282902, -0.058285296, 0.043784343, -0.06650367, 0.08615283, -0.09442146, 0.21977374, 0.07510316, 0.046129383) * go_5(0.0, 1.0); result += mat4(-0.09854926, -0.0040589753, -0.0046874275, -0.05606601, -0.09644158, -0.025443854, 0.06679157, 0.105184354, 0.12847804, 0.034818232, -0.11927682, 0.062153667, -0.084697284, -0.16093484, 0.055803664, -0.038259108) * go_5(1.0, -1.0); result += mat4(0.012121266, -0.044610072, -0.15920639, -0.21455094, -0.17556362, 0.11795087, 0.2782554, -0.0560055, -0.016328325, 0.017426671, -0.016999241, -0.0111242365, -0.11401752, -0.03055185, -0.1208023, -0.03324553) * go_5(1.0, 0.0); result += mat4(-0.019453831, 0.3024969, -0.12421807, -0.07486924, -0.023773434, -0.018630482, 0.08937093, -0.16911122, 0.03174539, -0.034223765, -0.059252728, 0.048566185, -0.0227469, 0.250467, 0.0063438215, 0.12399077) * go_5(1.0, 1.0); result += mat4(-0.14244945, -0.18781039, -0.09052935, 0.040344022, -0.09200208, -0.0020364511, -0.082314745, 0.1985458, 0.057018146, -0.19020353, 0.10604089, 0.041587926, 0.019805325, 0.11863782, 0.10040279, -0.07886153) * go_6(-1.0, -1.0); result += mat4(-0.08785371, 0.0012416831, -0.14245462, 0.014491134, -0.092272095, -0.016375266, 0.07059052, 0.19758694, -0.051378895, -0.03128126, -0.01885893, 0.0007555793, 0.07984798, 0.002815637, -0.06356219, -0.08836911) * go_6(-1.0, 0.0); result += mat4(0.10801107, 0.105199136, -0.015165762, -0.07823724, 0.01590213, 0.1501628, 0.035745613, -0.11738953, -0.03570796, -0.08615849, -0.058338642, 0.036825087, -0.08304603, 0.113460265, 0.061258268, 0.037475646) * go_6(-1.0, 1.0); result += mat4(0.06608076, -0.10083555, 0.008354693, -0.13444132, 0.04017474, 0.0844823, 0.041038416, -0.027660541, -0.027312018, -0.13453196, 0.06543276, -0.07885408, 0.24397506, -0.029557763, 0.2645681, -0.05556161) * go_6(0.0, -1.0); result += mat4(-0.012051555, -0.10064483, 0.10473231, -0.04926908, -0.0077788145, 0.113208905, -0.049261194, 0.18457137, 0.022148488, -0.08757704, 0.058209743, -0.029347239, 0.10784222, 0.06428691, 0.14934374, 0.12799424) * go_6(0.0, 0.0); result += mat4(0.056571472, -0.053636614, -0.12792027, -0.041265823, -0.010318963, 0.057668775, 0.13060106, -0.0029116163, 0.080650404, -0.14664799, 0.029553872, 0.0031002741, -0.08129353, -0.039393093, 0.0011153305, 0.05358428) * go_6(0.0, 1.0); result += mat4(-0.053597085, -0.074977115, 0.04966753, -0.082430005, -0.026584042, -0.036182676, 0.09082117, 0.1751359, 0.0567656, -0.25464153, 0.1587968, -0.07369893, 0.031964645, -0.015776938, -0.014184054, -0.037588824) * go_6(1.0, -1.0); result += mat4(0.056245625, -0.19343334, -0.034719788, -0.036740743, 0.003161948, -0.05958242, 0.0011679974, 0.15001102, -0.050314993, -0.23588288, -0.18080509, -0.03913791, 0.02685433, -0.1591906, -0.0032332533, -0.067167796) * go_6(1.0, 0.0); result += mat4(0.08710681, -0.009717672, -0.03706354, 0.058895897, -0.075231604, 0.13861851, 0.07861898, 0.07930051, -0.013427818, 0.02843637, -0.034422692, -0.048254225, -0.027066654, 0.017333468, -0.038676698, -0.010453218) * go_6(1.0, 1.0); result += mat4(-0.0015142561, 0.15862244, -0.16688871, -0.0010665185, 0.02495258, 0.05192008, 0.018865002, -0.14237949, -0.00019605631, -0.023254955, -0.0027112218, 0.0700563, -0.21240579, -0.23829062, 0.09673947, -0.008365261) * go_7(-1.0, -1.0); result += mat4(0.08631513, -0.10774427, -0.14574322, 0.01587099, -0.14665635, -0.06268823, -0.018062646, -0.09757734, -0.045135736, 0.022142613, -0.013806511, -0.12009454, -0.11501202, -0.18475524, 1.9658119e-05, -0.15122423) * go_7(-1.0, 0.0); result += mat4(0.007342729, -0.13320936, -0.09675275, -0.059153594, -0.113123454, 0.015255657, 0.0479397, -0.025484433, -0.07649502, 0.020143446, -0.07246275, 0.23003843, -0.255473, 0.0018669645, 0.3184298, -0.08728176) * go_7(-1.0, 1.0); result += mat4(0.0464958, -0.023199182, -0.049521483, 0.071012646, -0.17917378, -0.058197394, -0.17358148, -0.06618344, -0.014546293, 0.0595088, -0.03759275, -0.0059011593, -0.1661695, -0.03880235, 0.22888699, -0.084078975) * go_7(0.0, -1.0); result += mat4(0.024697566, -0.23595122, 0.0761981, -0.13240968, -0.042000405, 0.029656362, 0.01941485, -0.10726825, 0.20714274, 0.01949488, -0.05405962, -0.004462848, 0.11120371, -0.09175814, 0.0110456, -0.0697384) * go_7(0.0, 0.0); result += mat4(0.13779809, -0.09310028, -0.21324204, -0.16296703, -0.18191867, -0.00566912, -0.15037797, -0.13455078, 0.05498934, -0.087142125, -0.16798702, -0.112984024, -0.1773057, 0.00052684447, -0.027763423, -0.17234807) * go_7(0.0, 1.0); result += mat4(0.12628955, -0.012055679, -0.117235065, 0.09219045, -0.071764685, -0.041950557, 0.08549711, -0.021074101, -0.10370811, 0.14320174, 0.037518226, -0.06568723, 0.12787178, 0.04144778, 0.067845285, -0.01826197) * go_7(1.0, -1.0); result += mat4(0.10220034, -0.033858925, -0.092584774, 0.018473145, -0.10610732, -0.04457908, 0.05236731, 0.020222165, -0.047959488, 0.19325002, 0.041600883, 0.0060441773, -0.14774403, 0.04512932, 0.21706855, 0.045700278) * go_7(1.0, 0.0); result += mat4(0.055435047, 0.111331224, -0.015313769, 0.013749339, 0.0928567, -0.08772887, -0.19616237, -0.26087436, -0.037580732, -0.09828942, 0.07386148, -0.14166622, -0.15666561, -0.33597684, -0.026530989, -0.054972704) * go_7(1.0, 1.0); result += vec4(0.029201906, -0.0028833123, 0.015078028, -0.038192146); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_18_tf //!BIND conv2d_18_tf1 //!BIND conv2d_18_tf2 //!BIND conv2d_18_tf3 //!SAVE conv2d_19_tf //!WIDTH conv2d_18_tf.w //!HEIGHT conv2d_18_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_18_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_18_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_18_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_18_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_18_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_18_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_18_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_18_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(0.021075599, -0.054250535, -0.15225379, -0.001421514, 0.05973969, -0.06851113, -0.021398136, 0.10361172, 0.014275951, -0.020496063, -0.07627704, 0.044158135, 0.1317084, -0.07949216, -0.024556203, 0.014688066) * go_0(-1.0, -1.0); result += mat4(0.05021399, -0.043859698, 0.00085036585, -0.02000847, -0.10377328, -0.009204682, 0.15159367, -0.02152439, 0.0034898773, 0.10064295, 0.07660975, 0.08588586, 0.037336897, 0.1105897, -0.04757494, -0.05683813) * go_0(-1.0, 0.0); result += mat4(0.038676567, -0.12891343, 0.13536555, -0.0697307, 0.07811669, -0.06324786, 0.06184392, 0.05041328, 0.0017139331, 0.083998576, 0.03101862, 0.058330044, 0.23353091, -0.10955777, 0.14883886, 0.16588917) * go_0(-1.0, 1.0); result += mat4(-0.13064261, -0.10170279, 0.18957764, -0.011944436, -0.008516419, 0.06942766, 0.1333651, 0.030210488, 0.115560375, -0.19197729, 0.15315987, -0.0901618, -0.03568982, -0.025404692, -0.06520259, 0.055768777) * go_0(0.0, -1.0); result += mat4(0.24911402, -0.055803575, 0.10609874, -0.05102895, -0.13672082, -0.049017977, -0.13644761, 0.022896811, -0.15682773, 0.05550682, 0.04735177, -0.14619595, -0.15788527, 0.124040954, -0.23663288, -0.18731435) * go_0(0.0, 0.0); result += mat4(0.02943471, 0.06645124, -0.045207016, -0.08423218, 0.030922938, 0.0054495563, -0.1006787, 0.08239545, 0.029175663, -0.003539447, -0.036679298, 0.101064004, 0.11338603, 0.07038739, -0.16399391, -0.1493847) * go_0(0.0, 1.0); result += mat4(0.04185234, -0.090882316, -0.05367747, 0.15270816, -0.056156795, 0.05310704, -0.047086164, -0.07563822, 0.03482228, -0.02955918, 0.07530092, -0.144532, 0.1075584, -0.054631174, 0.06471947, 0.120282896) * go_0(1.0, -1.0); result += mat4(-0.007238141, 0.13488698, 0.015599895, 0.15120889, -0.040581208, -0.026664637, -0.011708266, 0.0610109, 0.035894353, -0.13144852, -0.02863478, -0.066748194, -0.04323779, -0.049163997, 0.041382704, 0.109267786) * go_0(1.0, 0.0); result += mat4(-0.037647225, -0.13647673, 0.112618335, 0.11354436, 0.08061848, -0.010845823, -0.09419335, 0.033806674, 0.019806013, -0.089596435, 0.009464308, 0.0035862618, -0.0074079554, -0.009485658, 0.0763955, 0.08367428) * go_0(1.0, 1.0); result += mat4(0.06907952, -0.052536193, 0.1763529, 0.15309668, -0.09956347, -0.07277225, -0.038373947, -0.037908833, 0.16181119, -0.025520757, -0.10903227, 0.10974898, 0.072151996, 0.012922294, -0.079603985, -0.15773883) * go_1(-1.0, -1.0); result += mat4(-0.027342288, -0.07680874, 0.04974237, -0.08567885, -0.09929943, -0.035455007, 0.13131198, 0.16515696, -0.009102528, 0.05145574, 0.022984773, -0.029341707, 0.07288582, 0.00091653416, -0.13331193, -0.1204592) * go_1(-1.0, 0.0); result += mat4(0.014472295, -0.10104673, 0.06167356, -0.0066606803, -0.07392597, 0.033783045, -0.122717455, 0.06814838, -0.11108132, -0.06297289, 0.121086955, 0.306241, 0.15277696, 0.0656951, -0.068692215, -0.004531433) * go_1(-1.0, 1.0); result += mat4(-0.14150366, 0.11568731, 0.046074055, -0.026354427, -0.00021540816, -0.050237536, -0.002589603, -0.05037271, 0.15283322, 0.077606365, -0.026000943, 0.04725276, 0.060801037, -0.025782531, 0.14417455, 0.0014831548) * go_1(0.0, -1.0); result += mat4(-0.16106884, 0.041359264, 0.04185298, 0.10449216, -0.07376945, -0.018479906, -0.07261673, -0.18092063, 0.15722854, -0.17281027, 0.34076685, 0.18638323, -0.021814108, -0.010158078, 0.009539704, 0.024126658) * go_1(0.0, 0.0); result += mat4(-0.020093616, -0.0102490885, -0.15690912, 0.055884898, -0.016846402, 0.13414374, -0.1472554, 0.11840663, -0.08311564, -0.022485578, 0.32412425, 0.08863683, -0.029603742, -0.050152212, 0.057478085, 0.09996878) * go_1(0.0, 1.0); result += mat4(-0.17542239, 0.09485826, 0.09920081, 0.015351153, 0.08114881, -0.12983656, 0.034618706, 0.030003658, -0.15099475, 0.2052961, 0.20252162, 0.1205947, 0.078157455, -0.016900357, 0.022622213, -0.06748161) * go_1(1.0, -1.0); result += mat4(-0.087971665, 0.062397882, -0.07142019, 0.11933068, -0.00847593, -0.21142542, 0.05075018, -0.18219566, -0.16770703, 0.26589707, 0.12976934, -0.05131386, -0.06600382, 0.0024302478, -0.06897084, -0.22476815) * go_1(1.0, 0.0); result += mat4(-0.07442399, 0.0017183317, 0.010965699, 0.13705957, 0.0005494493, 0.06494519, -0.047589395, 0.022372872, -0.09498922, -0.044349454, -0.18942389, -0.09328113, 0.053193945, 0.069452636, 0.024270676, 0.085541405) * go_1(1.0, 1.0); result += mat4(-0.039297063, -0.0026948878, -0.08571043, 0.0647004, 0.004500067, -0.109853946, 0.095561184, 0.07627317, 0.022782452, -0.009354357, 0.18699041, 0.03624169, 0.06590244, 0.08779489, 0.09670581, 0.013879678) * go_2(-1.0, -1.0); result += mat4(-0.043542888, 0.10199333, 0.033191778, -0.10077772, 0.10395939, -0.06852092, -0.07237032, -0.18194893, 0.026225125, -0.056160323, 0.08446246, 0.013397116, 0.07657753, 0.18428123, 0.056003574, -0.050301608) * go_2(-1.0, 0.0); result += mat4(0.046665788, 0.08755995, 0.04464974, -0.0766558, 0.06281385, 0.09026257, -0.005853063, -0.18015854, 0.08414949, -0.056032974, 0.11389157, -0.15169302, -0.003766101, 0.011633537, 0.15049145, -0.09533107) * go_2(-1.0, 1.0); result += mat4(-0.0595272, 0.05165694, 0.17036733, -0.019590864, -0.017012816, 0.20802979, -0.036727592, 0.0039354274, 0.013841891, 0.09793644, 0.053500295, -0.08375709, 0.07436116, -0.123924114, 0.13592327, -0.17214386) * go_2(0.0, -1.0); result += mat4(-0.055947073, 0.07011482, 0.013577148, -0.1658796, -0.04328695, -0.17159998, 0.028221646, -0.032955963, 0.17267641, -0.029342541, -0.010461821, 0.15006398, -0.09205043, 0.20772073, -0.16671306, -0.12559414) * go_2(0.0, 0.0); result += mat4(0.09860994, 0.21397981, 0.11715738, -0.047943972, 0.1284329, 0.08067804, -0.26018474, -0.16460776, 0.078657456, -0.06347525, -0.084702656, -0.08876526, 0.057452347, 0.12350108, -0.25147486, 0.067464665) * go_2(0.0, 1.0); result += mat4(-0.02414774, -0.006014789, -0.16124673, -0.054590844, -0.030734671, 0.05109599, 0.11864468, -0.08336728, -0.011760623, 0.13827185, 0.07961881, -0.072460175, 0.01413179, 0.06742306, -0.16664205, -0.0798058) * go_2(1.0, -1.0); result += mat4(0.07386209, 0.14170863, -0.06210615, 0.015531488, 0.00057893473, -0.0005763593, -0.073126875, -0.011790491, 0.013979303, 0.06740013, -0.023359954, -0.029758057, 0.066769704, 0.014488505, 0.0041438905, 0.061225288) * go_2(1.0, 0.0); result += mat4(0.0069554485, 0.09764331, -0.0054218043, -0.2010452, 0.008887486, -0.017118184, -0.1340303, -0.027957728, 0.11632277, -0.03217801, -0.23497035, -0.036167137, -0.025200771, 0.005581373, -0.06958951, -0.07536721) * go_2(1.0, 1.0); result += mat4(0.09321626, 0.12615682, 0.055691253, -0.090341516, 0.07008738, 0.00052956014, 0.08390906, -0.0031441932, -0.08124622, 0.008632992, -0.014327739, 0.06672952, 0.0031601167, 0.066681944, 0.22517303, -0.099632345) * go_3(-1.0, -1.0); result += mat4(-0.09289536, -0.043043956, -0.05214391, -0.11719125, 0.00853943, 0.11287393, 0.09500855, -0.12966141, 0.18431212, 0.0748805, -0.046230618, -0.027745726, -0.18148296, -0.106141314, -0.0027885837, -0.02043344) * go_3(-1.0, 0.0); result += mat4(-0.03763392, 0.11262269, -0.09432367, 0.087762475, 0.057269823, 0.005517798, 0.22757046, -0.04987115, 0.19129716, -0.03763542, -0.01590417, -0.039666392, -0.24493358, 0.04882048, -0.09947371, 0.10563259) * go_3(-1.0, 1.0); result += mat4(0.093612835, 0.10622373, -0.010965033, -0.18060082, 0.050502308, 0.035397053, -0.074155636, 0.05722512, -0.08370328, 0.17707741, 0.11072773, -0.15585034, -0.05549326, 0.1031897, -0.10707569, -0.09843548) * go_3(0.0, -1.0); result += mat4(0.19249113, 0.004272997, -0.11301988, -0.059472203, 0.16710956, 0.1320019, -0.010074136, 0.049597714, 0.11807218, -0.21680427, 0.18643682, -0.25256965, 0.054952204, -0.10841805, 0.008303385, 0.16246659) * go_3(0.0, 0.0); result += mat4(0.12461618, 0.018174525, 0.11908521, -0.10700156, 0.006157429, -0.091230884, 0.08522994, -0.016037822, 0.09602615, 0.10351626, -0.12967208, 0.026805326, -0.07154254, -0.029481664, 0.21389903, 0.08344766) * go_3(0.0, 1.0); result += mat4(-0.09969622, 0.07962598, -0.028466886, 0.050267693, -0.08045734, 0.03412841, 0.09335067, -0.013479, 0.043035932, 0.09757995, -0.28259873, 0.0020081983, 0.07462653, -0.15747115, 0.124251395, 0.076333925) * go_3(1.0, -1.0); result += mat4(-0.035977505, 0.06003558, -0.09650363, -0.09525774, -0.16066033, 0.09775839, 0.0667778, -0.034762666, -0.0057217414, 0.065839626, 0.21028286, -0.2774071, -0.017984433, 0.03783334, -0.09587559, -0.026591627) * go_3(1.0, 0.0); result += mat4(-0.023890898, 0.11809203, -0.1188636, -0.0012940518, 0.118897684, -9.827985e-05, -0.05622794, -0.062140178, -0.12795903, 0.05519595, -0.058305323, 0.016674206, 0.013698942, -0.08497383, 0.027362531, 0.10627308) * go_3(1.0, 1.0); result += mat4(-0.06454933, 0.02689722, 0.010371413, 0.0634908, -0.041561414, 0.09611493, -0.06061118, 0.02602967, -0.0373284, -0.015805054, 0.05950886, -0.13804919, -0.014812459, -0.08159597, -0.09908161, -0.020315096) * go_4(-1.0, -1.0); result += mat4(-0.06265245, -0.04897011, 0.073684655, 0.1615347, 0.0996554, -0.029503722, -0.038289137, 0.06443223, -0.015126988, -0.20464674, 0.08261881, -0.11410073, 0.06794012, -0.1282338, -0.0808648, -0.024340188) * go_4(-1.0, 0.0); result += mat4(-0.20563951, 0.00822819, -0.0028446496, -0.037908215, -0.15417986, -0.053624943, 0.15252545, -0.066859886, -0.033749085, -0.0022916791, 0.012464019, -0.18756475, 0.028652523, -0.029153747, -0.0774323, -0.078330934) * go_4(-1.0, 1.0); result += mat4(-0.11408609, 0.10095266, -0.09413288, 0.048672248, 0.14938189, 0.02606957, 0.10862651, 0.01836941, -0.09218335, 0.2407901, -0.038805883, -0.15219745, 0.061210256, -0.021015555, -0.018389063, -0.005998484) * go_4(0.0, -1.0); result += mat4(-0.10569989, -0.06539472, -0.17240082, 0.01820424, 0.008560733, 0.1539287, 0.06709748, -0.045853294, 0.108150296, 0.05734132, -0.046088815, 0.248995, 0.008274402, -0.30565688, 0.12489905, 0.059402116) * go_4(0.0, 0.0); result += mat4(-0.087341666, 0.03546864, 0.19149105, -0.03806943, 0.07624287, 0.050273992, 0.10086885, 0.12906818, 0.01114818, -0.07052573, 0.04540055, 0.029273782, 0.10898686, -0.1770709, -0.017369272, -0.016848907) * go_4(0.0, 1.0); result += mat4(-0.058181286, -0.009246252, 0.07048362, -0.0006535902, -0.35701382, 0.231112, -0.10935989, -0.08851913, 0.027286934, 0.12029156, 0.06239391, -0.040678307, -0.092798725, -0.26335207, -0.042724196, 0.051664326) * go_4(1.0, -1.0); result += mat4(-0.10164229, -0.0014839054, -0.021398826, -0.10823746, -0.16494614, -0.0067644184, 0.118856244, 0.12065754, 0.003400296, -0.10101892, 0.03650762, -0.009031349, 0.13758844, -0.18478121, 0.07968888, -0.09104288) * go_4(1.0, 0.0); result += mat4(-0.008495138, 0.066670984, 0.05767939, -0.07052782, -0.014718764, 0.08614164, 0.030008111, -0.06520335, 0.02900097, -0.030700756, 0.025042165, -0.06397807, 0.006406731, -0.116308615, -0.0360389, 0.0027516233) * go_4(1.0, 1.0); result += mat4(-0.057278417, 0.1727815, -0.07807456, -0.04727814, -0.10097372, -0.03546198, -0.032869432, 0.08689116, -0.04738872, -0.047112323, 0.02086091, -0.04105858, -0.03165431, -0.10082921, 0.15055077, -0.003025087) * go_5(-1.0, -1.0); result += mat4(0.047094163, 0.117854774, -0.13751692, 0.25386533, -0.09068952, 0.2095612, -0.00044834684, 0.1282835, 0.1279751, -0.025870766, -0.009751841, 0.076681845, -0.079167604, 0.05592644, -0.04595776, 0.17977998) * go_5(-1.0, 0.0); result += mat4(-0.0027239807, 0.06603127, -0.23799416, 0.0123985335, 0.025360249, -0.08612398, -0.1051835, -0.044109415, -0.09622201, 0.026738588, 0.022221094, 0.062126018, -0.10752726, -0.004420602, -0.05017027, -0.08776257) * go_5(-1.0, 1.0); result += mat4(0.03275633, 0.14127396, -0.09341105, 0.23926768, -0.08104667, 0.025844736, -0.10298216, 0.060764167, -0.10122608, 0.08945685, 0.07788971, -0.07410643, -0.08033897, -0.23677154, -0.04966397, -0.045639224) * go_5(0.0, -1.0); result += mat4(0.07048915, -0.106820844, 0.047254067, 0.11627385, -0.11047958, -0.027926508, 0.04498255, 0.20816003, 0.11909031, -0.0009775321, -0.18387055, -0.0018686258, -0.016878089, 0.22323456, -0.14612047, 0.022845699) * go_5(0.0, 0.0); result += mat4(0.035804678, 0.119743, 0.1571684, -0.023207432, 0.07617338, -0.08736871, 0.05989575, -0.058365826, 0.019954713, 0.10140689, -0.09124958, -0.13218899, -0.03780429, 0.09544198, -0.039520875, -0.14930539) * go_5(0.0, 1.0); result += mat4(0.14514346, 0.0360269, -0.054082893, -0.15789753, -0.040042885, -0.028893448, -0.09869845, 0.09966758, 0.039295428, 0.03457506, 0.024780974, 0.095122814, 0.0031860285, -0.10821901, -0.11781598, 0.01704089) * go_5(1.0, -1.0); result += mat4(0.21498747, 0.0133230025, 0.042253625, -0.21782391, -0.1492179, 0.30398136, 0.018255081, 0.11203656, -0.03885946, 0.106861874, 0.026350034, 0.11618644, 0.084832504, -0.16322637, 0.023462294, 0.10065608) * go_5(1.0, 0.0); result += mat4(-0.15551749, 0.14941038, 0.056670457, -0.0431253, 0.08302943, 0.01580936, -0.051593207, 0.03560764, -0.030447204, 0.075539954, -0.011442096, 0.02693397, 0.0905564, -0.014087418, -0.007015716, -0.09875941) * go_5(1.0, 1.0); result += mat4(0.07433055, -0.030779218, 0.03334971, -0.122070454, -0.05208821, -0.056771465, -0.011534166, -0.13619904, -0.015953373, -0.013060965, -0.08053602, -0.005346061, -0.02533623, -0.046483822, -0.15184224, 0.06881467) * go_6(-1.0, -1.0); result += mat4(-0.06786954, -0.1101747, 0.07293632, -0.072237246, -0.03891572, -0.033120476, -0.21675974, -0.01265742, -0.07152627, 0.035822228, -0.11969304, -0.008666347, -0.045399748, -0.149612, -0.08198164, 0.01729796) * go_6(-1.0, 0.0); result += mat4(0.021353757, -0.025995912, 0.066578284, 0.04336928, 0.039536253, -0.016585456, -0.13368231, 0.12299198, -0.0013373335, -0.034165546, -0.07936003, 0.004652013, -0.042511817, 0.0019751487, 0.0011525169, -0.10085849) * go_6(-1.0, 1.0); result += mat4(0.085357845, 0.21802829, 0.13633603, -0.09305326, -0.14289644, -0.015774531, -0.12939785, 0.021014005, 0.07054864, -0.009131392, -0.010884865, 0.08177134, 0.06213185, -0.1490639, 0.021829644, 0.025526933) * go_6(0.0, -1.0); result += mat4(-0.02074944, 0.11732001, 0.043791592, 0.06742606, -0.112140454, 0.1183469, 0.06687539, 0.12730923, 0.0061068935, -0.07169838, -0.12619536, 0.0005274442, 0.012716505, -0.11192881, 0.068851836, 0.008492987) * go_6(0.0, 0.0); result += mat4(0.08216468, -0.028620748, -0.055371143, 0.020594567, -0.05292034, -0.10408585, -0.04820471, 0.051627148, 0.036886677, -0.107644394, -0.020397794, 0.047485292, 0.079070546, -0.10276452, 0.19232683, -0.15654457) * go_6(0.0, 1.0); result += mat4(0.12678936, 0.16351469, -0.0037196553, -0.08318541, -0.034772478, -0.051339243, -0.045463465, 0.12652434, 0.22918625, -0.043803692, 0.14724569, 0.047499433, 0.016458863, 0.11427085, 0.077913724, -0.062115736) * go_6(1.0, -1.0); result += mat4(0.07971772, -0.021838864, -0.033015456, -0.07201285, -0.09160904, 0.16611984, -0.079225585, -0.063700624, 0.13366704, -0.17928718, -0.17573813, -0.0084753595, 0.14407809, 0.06637059, 0.06761111, -0.040778674) * go_6(1.0, 0.0); result += mat4(-0.051311243, -0.00047012506, 0.11295401, 0.041759036, -0.028863018, 0.0324509, -0.077564776, 0.15006386, -0.053502884, -0.034109667, 0.0017859068, 0.16114277, -0.039465405, -0.09419871, 0.06864232, -0.018261535) * go_6(1.0, 1.0); result += mat4(-0.04087073, 0.070795655, 0.01541917, 0.11113746, 0.025174553, 0.026181301, 0.02840083, 0.004309008, 0.09485457, -0.04233083, -0.051573273, -0.07650051, -0.17544228, -0.11439118, -0.08093743, 0.18067038) * go_7(-1.0, -1.0); result += mat4(0.0062529687, 0.15919134, -0.053404056, 0.039204787, 0.023409445, 0.012681388, 0.09090681, 0.20121421, 0.022972144, -0.0895693, 0.04895256, 0.06891674, -0.0035229125, -0.25411057, 0.037077982, -0.13036521) * go_7(-1.0, 0.0); result += mat4(0.11477689, 0.0028072398, -0.06338895, 0.02027455, -0.08101111, 0.034853484, 0.10567918, 0.041619904, 0.11095729, -0.008229767, 0.13372917, 0.008856674, -0.08141064, -0.0959705, 0.091087684, -0.07539786) * go_7(-1.0, 1.0); result += mat4(-0.04363737, -0.03348933, -0.05418331, 0.029407552, 0.1489491, -0.03999793, 0.08842189, 0.14542465, 0.04715493, -0.06445284, 0.05556509, 0.09696593, -0.042307585, 0.08516361, -0.2331977, -0.03857982) * go_7(0.0, -1.0); result += mat4(0.0038425433, -0.019158881, -0.010624798, -0.044134602, -0.1695856, 0.15631394, -0.088841416, -0.1685344, 0.023059638, 0.03796117, 0.022053894, -0.027527904, -0.044638235, -0.25911215, 0.03230966, -0.05346732) * go_7(0.0, 0.0); result += mat4(-0.09276762, 0.24963817, 0.010785759, -0.019909501, -0.097505584, 0.032170214, -0.0023418854, 0.08733382, -0.03379668, 0.100584164, -0.109995596, -0.07523249, -0.0120575465, -0.053097837, -0.13998339, -0.10185383) * go_7(0.0, 1.0); result += mat4(-0.0127198845, -0.042109866, -0.11629171, 0.053611718, -0.002032197, -0.012943935, -0.04415516, -0.07642406, -0.08589718, -0.017162828, -0.040193867, -0.10849531, -0.013999757, 0.0002801831, -0.035648525, 0.079189576) * go_7(1.0, -1.0); result += mat4(-0.07409691, 0.26385418, -0.012612426, 0.090933286, 0.06744317, -0.060681526, 0.10342389, 0.0905919, 0.021600742, -0.07504329, 0.07502121, -0.05556069, -5.7453726e-05, -0.005260563, 0.1823992, -0.18512331) * go_7(1.0, 0.0); result += mat4(-0.06008137, 0.15206294, -0.044260148, 0.053141426, 0.06447088, 0.053879313, -0.019256372, -0.009678615, 0.040676076, 0.009712142, 0.1283051, -0.046193764, 0.06051764, -0.15391533, 0.007005147, -0.21769708) * go_7(1.0, 1.0); result += vec4(0.034930106, -0.040175084, 0.0094707515, 0.026570352); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x96 //!HOOK MAIN //!BIND conv2d_18_tf //!BIND conv2d_18_tf1 //!BIND conv2d_18_tf2 //!BIND conv2d_18_tf3 //!BIND conv2d_20_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!SAVE conv2d_21_tf //!WIDTH conv2d_18_tf.w //!HEIGHT conv2d_18_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_18_tf_tex(conv2d_18_tf_pos)), 0.0)) #define g_1 (max((conv2d_18_tf1_tex(conv2d_18_tf1_pos)), 0.0)) #define g_2 (max((conv2d_18_tf2_tex(conv2d_18_tf2_pos)), 0.0)) #define g_3 (max((conv2d_18_tf3_tex(conv2d_18_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_18_tf_tex(conv2d_18_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_18_tf1_tex(conv2d_18_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_18_tf2_tex(conv2d_18_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_18_tf3_tex(conv2d_18_tf3_pos)), 0.0)) #define g_8 (max((conv2d_20_tf_tex(conv2d_20_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_20_tf_tex(conv2d_20_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.08710418, 0.07755426, -0.19372784, -0.12006015, -0.08683475, -0.051511686, -0.113844275, -0.01831389, 0.13441756, -0.18682177, -0.11446414, -0.053224254, 0.066490404, 0.15588047, 0.075582, -0.033167917) * g_0; result += mat4(-0.20958789, 0.15148236, -0.04583152, 0.12812352, -0.00044433025, -0.13340057, -0.09522131, -0.25912568, -0.005632191, 0.2783046, 0.13194086, -0.13088284, 0.2362872, 0.0900396, 0.28009146, 0.004059817) * g_1; result += mat4(0.10685089, -0.034242, 0.13198791, -0.1327393, 0.17671722, -0.21151659, -0.14577065, -0.20913975, 0.085521296, 0.035992414, 0.017195407, -0.10016802, 0.12933257, 0.046163887, -0.011927488, -0.23875898) * g_2; result += mat4(-0.08416457, 0.17505676, 0.24870509, 0.06930309, -0.191712, -0.0808669, -0.015740015, 0.0652813, -0.059006322, -0.018401904, -0.036595564, -0.1605108, 0.12305627, 0.060691502, 0.1619963, 0.08043304) * g_3; result += mat4(-0.1162042, 0.07235142, 0.074100144, 0.0062329075, 0.15629326, -0.004988086, -0.12807561, 0.2089372, -0.11417878, -0.0070988503, -0.08123769, 0.15964252, 0.1242517, 0.15018217, -0.16828871, -0.10980319) * g_4; result += mat4(0.097435325, -0.10224905, 0.061068628, 0.22532623, -0.046067998, 0.19951521, -0.11546273, 0.10270359, 0.027507411, -0.1484107, -0.0939577, 0.08855171, -0.25780675, -0.20141928, -0.051490895, 0.06990546) * g_5; result += mat4(-0.0502339, -0.0052296333, -0.07589294, -0.105127886, 0.006349035, 0.34075886, 0.050190937, -0.094317205, 0.097337745, -0.07065814, -0.16456902, 0.21397485, 0.022255344, -0.14672112, -0.19206822, 0.1821241) * g_6; result += mat4(0.07189387, 0.15896799, -0.055312637, -0.012296496, 0.18629979, 0.21605793, 0.3112103, -0.053981252, 0.164744, -0.13682634, 0.28319356, 0.0054148296, 0.12050483, 0.021165732, -0.090522125, 0.019760927) * g_7; result += mat4(-0.017540403, 0.0062772045, 0.18213348, -0.06998202, 0.042053856, -0.12266181, -0.03696476, 0.1198641, -0.4831862, -0.08289988, -0.09672259, 0.11441492, -0.19695596, -0.20243177, 0.120301224, -0.03885659) * g_8; result += mat4(-0.012043374, -0.12636301, 0.07465572, -0.026296021, 0.21566753, 0.18964884, -0.21407917, 0.06082264, 0.16858701, 0.22547795, 0.060304616, 0.21083428, 0.2195806, 0.06386552, -0.13011286, 0.07762842) * g_9; result += mat4(-0.048389256, 0.043716315, 0.07394857, 0.23185648, -0.22878529, 0.1262599, 0.04561782, -0.21576522, -0.11676992, 0.25556034, 0.08847371, 0.08644613, 0.026928827, 0.20417346, 0.058586314, 0.0476593) * g_10; result += mat4(-0.001416993, -0.26372138, -0.17127669, -0.21048187, 0.14255156, -0.22319807, -0.08061204, 0.03961634, 0.023157349, 0.05760616, -0.27544355, -0.1383328, 0.15652739, 0.011641045, 0.03508059, 0.23525323) * g_11; result += mat4(-0.23829429, 0.14674664, 0.08100075, 0.2795668, 0.18427856, 0.05980292, -0.24882336, -0.036076378, 0.08043839, -0.18109713, 0.10270382, -0.16545536, 0.086006865, 0.07463311, -0.2029149, 0.010671285) * g_12; result += mat4(0.14745244, -0.09021049, 0.03856137, -0.24550879, 0.31875673, 0.19743665, -0.18928793, -0.022744423, 0.09933925, 0.06840095, 0.07151117, 0.16670194, -0.17345333, -0.17679518, 0.0803156, 0.1323218) * g_13; result += mat4(-0.22606997, 0.23559661, -0.1356115, -0.16298714, -0.08236835, -0.11082772, -0.17032886, -0.36395928, 0.0076418323, 0.09497255, -0.009910129, -0.06704425, 0.118186295, -0.07905629, 0.16229996, 0.13862097) * g_14; result += mat4(-0.05605825, 0.03226995, -0.09783728, 0.1276114, -0.03132329, 0.17624037, 0.1554618, 0.13293655, -0.14832236, 0.0038608431, -0.1074844, 0.15878479, -0.2007515, -0.15159251, -0.08711506, 0.0011561218) * g_15; result += mat4(0.17221819, -0.13795783, 0.004547347, 0.07184666, 0.013688652, -0.05573553, -0.039471798, 0.23344308, 0.097293355, -0.042974688, 0.12051542, 0.015702134, 0.17581677, -0.052126184, -0.09377827, -0.072589) * g_16; result += mat4(0.1141422, -0.13473512, 0.1427384, -0.0516325, -0.25478005, -0.20733416, -0.065446824, 0.017821401, -0.06606627, 0.09842118, 0.10977934, -0.08284073, -0.23268555, 0.17497909, 0.15409274, 0.1766027) * g_17; result += mat4(0.16349804, -0.031991642, -0.03544694, 0.19030678, -0.10905752, -0.21243256, -0.1682402, -0.20092581, 0.049650017, -0.10322993, -0.056542892, -0.055122282, -0.04017231, -0.05765047, -0.11291076, -0.1375772) * g_18; result += mat4(-0.12520963, 0.03948451, -0.1080389, -0.2411598, -0.2384441, 0.04583776, 0.05708465, -0.13598098, -0.0027632138, 0.059042323, 0.1888617, 0.049241446, 0.20129628, 0.08619466, 0.19998649, 0.3488563) * g_19; result += mat4(0.04955111, 0.082809135, 0.0030273702, 0.027085733, -0.24155019, 0.18543921, -0.14815515, -0.07323729, -0.083096445, -0.018511815, -0.24441625, -0.042126883, 0.16707252, 0.15324517, -0.22174944, 0.20144019) * g_20; result += mat4(-0.06967862, -0.13329996, -0.17944409, 0.01734243, 0.075320974, -0.22839668, 0.24706283, -0.08456183, 0.101465605, 0.011808895, 0.014018943, -0.020431247, 0.08659333, -0.08047589, 0.015925674, 0.00016753716) * g_21; result += mat4(0.3392523, 0.10867626, 0.13746454, -0.035315026, 0.25138593, -0.21969056, 0.0074967514, -0.076253906, 0.040552594, -0.05231798, 0.05877078, -0.028507937, -0.31218964, 0.10618994, -0.35251832, 0.33440894) * g_22; result += mat4(-0.18962376, 0.01081502, -0.079535306, -0.47144732, 0.277589, -0.081428155, -0.4717694, 0.02221676, -0.058384646, -0.45954156, 0.031163838, -0.16281652, 0.20378628, 0.22339214, 0.06407888, -0.03579875) * g_23; result += vec4(-0.009340076, 0.0065150703, 0.010082239, 0.012676137); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x96 //!HOOK MAIN //!BIND conv2d_18_tf //!BIND conv2d_18_tf1 //!BIND conv2d_18_tf2 //!BIND conv2d_18_tf3 //!BIND conv2d_20_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!SAVE conv2d_21_tf1 //!WIDTH conv2d_18_tf.w //!HEIGHT conv2d_18_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_18_tf_tex(conv2d_18_tf_pos)), 0.0)) #define g_1 (max((conv2d_18_tf1_tex(conv2d_18_tf1_pos)), 0.0)) #define g_2 (max((conv2d_18_tf2_tex(conv2d_18_tf2_pos)), 0.0)) #define g_3 (max((conv2d_18_tf3_tex(conv2d_18_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_18_tf_tex(conv2d_18_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_18_tf1_tex(conv2d_18_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_18_tf2_tex(conv2d_18_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_18_tf3_tex(conv2d_18_tf3_pos)), 0.0)) #define g_8 (max((conv2d_20_tf_tex(conv2d_20_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_20_tf_tex(conv2d_20_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.0200372, 0.025164925, -0.051542915, 0.17349012, 0.22963412, -0.08854868, -0.18460453, -0.009592984, 0.3433165, 0.24978307, -0.30430827, -0.53036386, -0.08970036, 0.003792772, -0.17533037, 0.05531384) * g_0; result += mat4(-0.120206885, -0.088055685, -0.028581804, -0.029799921, 0.1553587, 0.048395723, -0.019582719, 0.25623065, -0.16238682, 0.21795171, -0.041007563, 0.2657337, -0.2737889, 0.1436563, 0.08519452, 0.051322795) * g_1; result += mat4(-0.008416596, -0.037384458, -0.01667205, -0.113932766, -0.220761, 0.20724533, -0.039649304, -0.0017309792, 0.041707594, 0.12224719, -0.059473436, 0.09303625, 0.048647325, 0.08052407, -0.23728494, -0.36954325) * g_2; result += mat4(-0.24027216, 0.2160822, 0.16243383, 0.14543773, -0.0690304, -0.10372756, -0.108916, 0.119548805, -0.19430643, 0.17126071, -0.07952119, -0.13491428, 0.16480479, 0.024287088, -0.12048609, 0.032947384) * g_3; result += mat4(-0.22957891, -0.10071905, 0.13317196, 0.20797506, 0.05998575, -0.029331183, 0.18397254, -0.10808303, -0.042644747, 0.17222235, 0.29700902, -0.04193782, 0.14778145, 0.13812043, 0.118143596, -0.057448573) * g_4; result += mat4(-0.14184432, -0.0236615, -0.17279948, 0.18716908, 0.11995038, -0.1185408, 0.1980219, 0.18067634, -0.038657866, -0.030831996, 0.33048138, -0.12548326, 0.12749283, -0.06766755, -0.17756845, -0.11182692) * g_5; result += mat4(0.040251233, 0.010135124, 0.024763199, 0.0457518, -0.2875318, 0.084092565, 0.028671606, 0.026579974, 0.017806578, 0.048673276, -0.114675, 0.05184245, 0.03820837, -0.01438677, 0.071568385, 0.07407311) * g_6; result += mat4(0.32025474, -0.19955283, -0.1420089, 0.05544955, 0.19069096, 0.2885597, -0.119959064, -0.056846753, -0.0062394375, 0.104673326, -0.162723, -0.017674185, -0.10826556, 0.042586546, 0.06138012, -0.03990229) * g_7; result += mat4(-0.0050156214, -0.15407455, -0.07907167, -0.13220526, -0.017592989, 0.2021805, -0.016687173, -0.056055553, -0.101649925, 0.1281, 0.05800204, 0.43441603, -0.024814442, 0.22591786, -0.2340531, 0.10235692) * g_8; result += mat4(0.24094208, 0.20049766, -0.03091491, 0.024811655, -0.022125067, -0.078261666, -0.08867578, -0.038298346, 0.12770705, -0.3216306, 0.18978754, -0.01107385, -0.038726375, -0.34504443, 0.49312648, 0.13409658) * g_9; result += mat4(0.0630035, 0.12272932, 0.032202568, -0.18289864, -0.0741027, 0.050733794, 0.07594249, 0.05300468, 0.042907406, 0.24372669, -0.028120704, 0.093619086, 0.11598335, 0.101204365, -0.17834216, -0.17095858) * g_10; result += mat4(-0.08183699, -0.07916702, -0.062332753, 0.1686114, -0.016465722, -0.0046439907, -0.025219526, 0.09196341, -0.28213915, -0.4013967, 0.2070858, 0.23499006, 0.31538546, -0.063582435, 0.17215486, -0.05670036) * g_11; result += mat4(-0.01627626, -0.085867815, -0.044567704, -0.068304785, 0.24002759, -0.18444167, 0.051936157, -0.084095374, -0.027830267, 0.0020481357, 0.05791986, 0.15611658, 0.28899965, -0.20653085, -0.075661235, -0.14174046) * g_12; result += mat4(-0.08468525, 0.058726486, -0.06389248, -0.01455625, 0.27516794, -0.09621903, -0.1269632, 0.021708349, 0.06876667, 0.09899092, -0.060870275, -0.036878586, 0.016620016, -0.032395374, 0.21142422, 0.114436075) * g_13; result += mat4(0.106104285, -0.37164697, -0.16798657, -0.1352658, -0.07100603, -0.10133517, 0.026537118, -0.015494572, 0.05662935, -0.018886555, -0.007515541, 0.12669149, 0.1449747, -0.23413232, 0.22381899, -0.15549453) * g_14; result += mat4(0.25238156, -0.019380376, -0.05552284, 0.033374626, -0.005643143, -0.020936595, -0.20558305, -0.15705742, -0.006181828, -0.1994116, -0.046375062, 0.13563119, -0.28634745, 0.0880065, -0.042301185, -0.29208398) * g_15; result += mat4(-0.17484008, -0.021532, 0.21034543, -0.0034605127, 0.014549843, 0.1751193, -0.12673648, 0.0064667664, -0.19978295, 0.1404624, 0.06869049, -0.020720724, 0.12267954, 0.25009266, -0.20387867, -0.15889901) * g_16; result += mat4(0.25143266, 0.17484929, 0.24925528, -0.03215604, -0.0974627, 0.15165818, 0.08267684, -0.202364, 0.24375704, -0.26883098, -0.15251026, 0.051847905, 0.10552426, 0.048911758, -0.113630824, -0.25745502) * g_17; result += mat4(0.047861718, 0.010482632, -0.28139532, -0.18458135, -0.08900709, 0.14439812, 0.017580662, -0.086692065, 0.14848581, 0.012461116, 0.13328992, 0.1823087, 0.1341251, 0.099720836, -0.123326704, -0.1529806) * g_18; result += mat4(-0.13218595, -0.020096691, 0.089338526, -0.050373968, -0.12718384, -0.34216353, -0.05081511, -0.100018986, -0.12318239, 0.043791108, -0.3888225, 0.11529475, 0.17406003, -0.2179613, -0.18560894, -0.16957083) * g_19; result += mat4(0.21191274, -0.16949633, -0.04258746, -0.15323012, 0.36763668, 0.18696135, -0.035708304, 0.08924961, -0.10829788, -0.086305946, 0.18746884, 0.19478951, 0.2759173, 0.059790425, 0.029030167, 0.22933595) * g_20; result += mat4(0.117172234, 0.2812114, -0.034787145, 0.067007184, -0.18443052, -0.01740869, 0.012421643, -0.23641962, 0.09629342, -0.122772515, -0.1556607, -0.13235089, 0.13715908, 0.11799065, -0.025866343, 0.03717886) * g_21; result += mat4(-0.06885674, 0.20376506, 0.032389764, -0.1343853, -0.24107948, -0.2061297, -0.15523757, 0.045462113, 0.15680042, 0.24913467, -0.1266525, 0.15182254, -0.19809371, -0.11994996, 0.024678899, 0.34593883) * g_22; result += mat4(0.08096669, 0.03794547, -0.08631197, -0.074983165, -0.19917545, 0.08625112, -0.2224293, -0.13218154, -0.16452844, 0.21913971, 0.15406418, -0.14238952, -0.23737735, -0.13383593, 0.04449909, -0.14110228) * g_23; result += vec4(-0.047341306, -0.010470165, -0.060366448, -0.0063673723); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x96 //!HOOK MAIN //!BIND conv2d_18_tf //!BIND conv2d_18_tf1 //!BIND conv2d_18_tf2 //!BIND conv2d_18_tf3 //!BIND conv2d_20_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!SAVE conv2d_21_tf2 //!WIDTH conv2d_18_tf.w //!HEIGHT conv2d_18_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_18_tf_tex(conv2d_18_tf_pos)), 0.0)) #define g_1 (max((conv2d_18_tf1_tex(conv2d_18_tf1_pos)), 0.0)) #define g_2 (max((conv2d_18_tf2_tex(conv2d_18_tf2_pos)), 0.0)) #define g_3 (max((conv2d_18_tf3_tex(conv2d_18_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_18_tf_tex(conv2d_18_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_18_tf1_tex(conv2d_18_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_18_tf2_tex(conv2d_18_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_18_tf3_tex(conv2d_18_tf3_pos)), 0.0)) #define g_8 (max((conv2d_20_tf_tex(conv2d_20_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_20_tf_tex(conv2d_20_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.16376013, -0.21462978, -0.14271215, -0.19764555, 0.004959633, 0.03559098, -0.039930187, 0.12408578, 0.073444515, -0.18976516, -0.020428572, 0.08624831, -0.13308355, 0.056589432, 0.06721722, 0.16169119) * g_0; result += mat4(0.032759428, 0.03249251, -0.20465967, 0.07133733, 0.05343703, 0.12841259, -0.20835468, 0.09137038, 0.1938841, 0.25623104, 0.097277, 0.058534052, -0.22656159, 0.18883473, 0.011212467, -0.0037018447) * g_1; result += mat4(-0.23469727, 0.15565057, 0.19072291, -0.1836996, 0.16059339, -0.22498783, 0.061382726, -0.20989716, 0.1775421, -0.047837425, -0.09572263, 0.103703596, -0.13672648, -0.15082708, 0.11233271, 0.22601321) * g_2; result += mat4(0.01870386, 0.089724526, 0.09773838, 0.034003545, -0.0031496854, 0.033871237, -0.24420398, 0.007905355, -0.02449313, 0.14813906, 0.09018556, 0.12513392, 0.16733788, 0.23793064, -0.1912762, -0.13565488) * g_3; result += mat4(0.06970355, 0.10157562, 0.14928305, 0.24936941, 0.059907116, -0.30688918, 0.081315145, -0.10862118, 0.13362534, -0.00026153796, 0.24190883, -0.06487983, 0.09340848, 0.08127848, 0.001434232, 0.067308724) * g_4; result += mat4(-0.05588173, -0.08792639, 0.08981383, -0.13087386, -0.1401108, 0.053842388, -0.014714017, -0.16106959, -0.09377347, 0.020844752, 0.08686229, -0.046952497, 0.31264535, 0.03484944, -0.08730081, -0.006767603) * g_5; result += mat4(0.25659466, 0.07397599, -0.059985436, 0.071429655, 0.03428176, -0.033710003, -0.16406639, -0.05580733, -0.21191816, -0.15564337, -0.07574189, -0.17225428, -0.019659676, -0.13260631, 0.05916013, -0.12107973) * g_6; result += mat4(-0.072627656, -0.080296986, 0.034525134, -0.23515461, -0.1304861, -0.039075147, 0.3999017, -0.22840585, 0.07141298, 0.18324336, 0.054969292, -0.01635769, 0.2520213, -0.07695982, -0.023417236, 0.102722354) * g_7; result += mat4(-0.17125753, 0.17100827, -0.31199583, -0.037970837, -0.107630424, -0.07300846, 0.07948616, -0.39042896, 0.17479163, 0.13205178, 0.11497303, -0.11652115, 0.03062989, 0.33838132, 0.14790033, 0.09507217) * g_8; result += mat4(0.04507488, 0.35392353, 0.38684472, 0.13546394, 0.11795181, -0.19300266, -0.22795731, 0.463773, -0.12761338, -0.18098523, -0.1456463, -0.09372001, 0.28942215, 0.14363319, -0.03819802, -0.15229422) * g_9; result += mat4(-0.12988025, 0.21170932, 0.03447564, -0.13754961, 0.087904826, 0.07837626, 0.09328843, 0.010177785, -0.3745973, 0.12749651, 0.17956547, -0.12897313, 0.19329022, -0.16939743, -0.104944855, -0.09487357) * g_10; result += mat4(0.15901774, 0.04067448, -0.21514527, -0.077920794, -0.28198823, 0.028896367, -0.23865238, -0.0071926992, 0.28216872, -0.13635647, -0.18908545, 0.02977451, -0.25345692, 0.20820476, 0.009601449, 0.27883843) * g_11; result += mat4(-0.037589654, -0.36836734, -0.17160638, -0.21136808, -0.18195882, -0.18352132, -0.13808772, 0.08068677, -0.015797919, -0.19405758, 0.16463257, -0.10353348, -0.0113609, -0.14714903, -0.15443285, 0.04489155) * g_12; result += mat4(-0.21718445, 0.0059077847, 0.19859529, 0.13535082, -0.16072561, 0.19556482, 0.1523886, 0.1251762, -0.0034070462, -0.035521794, 0.034417186, -0.306561, -0.10835829, -0.07181185, 0.036284324, -0.0031866753) * g_13; result += mat4(-0.10943835, 0.10428341, -0.06992764, -0.120998256, -0.008993865, 0.05821091, 0.06261459, -0.06388792, -0.028256107, 0.003925002, 0.25350967, -0.13623622, 0.084879614, 0.19291006, 0.06272194, -0.22010769) * g_14; result += mat4(-0.0457065, -0.059411805, -0.17807458, 0.09876963, 0.024583695, -0.116159014, -0.105639346, 0.028582737, 0.08507421, -0.121634774, 0.15567276, -0.08701447, 0.035207976, -0.037749242, -0.11775162, 0.25025365) * g_15; result += mat4(0.18185188, -0.07264863, 0.077263445, 0.21976566, 0.14656045, 0.047771394, 0.06685994, -0.08333337, 0.0017449517, -0.16983587, 0.14909369, -0.13025558, -0.06653938, -0.01429911, 0.032135215, 0.25310838) * g_16; result += mat4(0.042382054, 0.2682427, 0.01764835, -0.14447007, -0.2280379, 0.045982208, 0.075665936, -0.010963417, 0.07917052, 0.20231707, -0.022708723, -0.04420749, -0.017431455, -0.4536474, 0.050049998, -0.10083379) * g_17; result += mat4(0.042559944, 0.08244448, 0.20654662, -0.18008594, -0.1978152, 0.089204244, 0.09919466, 0.081702396, -0.030112466, -0.28072456, 0.20105025, -0.081957966, 0.048123248, -0.024997404, 0.07762149, 0.067282006) * g_18; result += mat4(0.077762015, -0.0710356, 0.06286203, 0.090047225, 0.1062697, -0.033291563, -0.032123826, 0.031537674, 0.15810831, 0.0884716, -0.12753096, 0.017839061, 0.42752337, -0.09349916, -0.06481517, -0.07046963) * g_19; result += mat4(-0.15118897, -0.25734478, 0.31358278, 0.1805141, 0.17088307, 0.18794382, 0.28021103, -0.34057355, -0.030835107, -0.0079853125, -0.26573807, -0.28082734, 0.0044963094, -0.020050643, 0.11479064, -0.11732869) * g_20; result += mat4(0.30385575, 0.25909582, -0.052579727, 0.1515613, -0.082644455, -0.09668368, -0.077442855, 0.095288195, 0.004760802, 0.07587048, 0.05381485, 0.10933668, -0.25176695, 0.14999786, -0.02548245, 0.12480703) * g_21; result += mat4(-0.12200806, -0.03346429, 0.040096015, -0.0104450155, -0.04190287, 0.15631595, 0.24532063, 0.067783296, -0.044785816, -0.17835703, 0.07349294, -0.23587738, 0.28926384, 0.020304382, -0.19058007, -0.24528348) * g_22; result += mat4(0.14653356, -0.09399811, 0.17405438, 0.11741997, 0.1707656, 0.17793506, 0.419244, 0.36248252, 0.19333729, -0.09478834, -0.031501323, 0.3489942, 0.17111845, -0.05753778, -0.033362497, -0.20234007) * g_23; result += vec4(-0.098978624, -0.013715648, -0.067908, -0.00071062305); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x96 //!HOOK MAIN //!BIND conv2d_18_tf //!BIND conv2d_18_tf1 //!BIND conv2d_18_tf2 //!BIND conv2d_18_tf3 //!BIND conv2d_20_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!SAVE conv2d_21_tf3 //!WIDTH conv2d_18_tf.w //!HEIGHT conv2d_18_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_18_tf_tex(conv2d_18_tf_pos)), 0.0)) #define g_1 (max((conv2d_18_tf1_tex(conv2d_18_tf1_pos)), 0.0)) #define g_2 (max((conv2d_18_tf2_tex(conv2d_18_tf2_pos)), 0.0)) #define g_3 (max((conv2d_18_tf3_tex(conv2d_18_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_18_tf_tex(conv2d_18_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_18_tf1_tex(conv2d_18_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_18_tf2_tex(conv2d_18_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_18_tf3_tex(conv2d_18_tf3_pos)), 0.0)) #define g_8 (max((conv2d_20_tf_tex(conv2d_20_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_20_tf_tex(conv2d_20_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.099412, 0.018248364, -0.13228352, 0.4672803, 0.034476146, -0.1978014, -0.11049704, -0.27439678, -0.060605004, 0.110746264, -0.051524, -0.1361938, 0.009921265, 0.23397371, -0.07823562, 0.012807971) * g_0; result += mat4(-0.057887197, -0.16899316, -0.097910166, 0.27173346, 0.048372928, -0.09819956, 0.2760085, 0.09113153, -0.25055817, 0.10803364, -0.32569218, 0.018657776, 0.10861732, 0.25150824, -0.12217984, 0.14836118) * g_1; result += mat4(-0.23982282, 0.16482148, 0.042845722, 0.26944172, 0.03479865, 0.26460785, 0.29936558, 0.26309288, -0.03825185, 0.16846797, 0.11344883, 0.097732104, 0.011267582, 0.06025005, -0.017220326, -0.14788473) * g_2; result += mat4(-0.07698723, 0.31528163, 0.018389257, 0.32013643, -0.17028578, 0.10416205, 0.14160097, 0.07994368, -0.21445467, 0.065764554, -0.010799837, 0.12783599, 0.16091037, -0.041146606, 0.06914886, 0.23852104) * g_3; result += mat4(-0.21730243, 0.0005364685, -0.06843196, -0.18304375, -0.0838743, 0.06591937, -0.119132325, -0.12775517, -0.14532626, 0.035126243, -0.014109256, 0.11822324, 0.08915501, -0.048738454, 0.017610341, -0.17118132) * g_4; result += mat4(0.066193976, -0.08082204, -0.119381346, -0.38606662, -0.018930387, 0.08734439, -0.080338374, -0.10179199, 0.28592992, -0.038777832, -0.02912025, -0.13968153, 0.1751963, -0.10257253, -0.02308871, 0.103588775) * g_5; result += mat4(-0.015369136, 0.043419622, -0.09212257, -0.09099887, 0.17050241, 0.017557086, -0.09919063, 0.2121736, 0.13851827, -0.09521062, 0.31105414, -0.21121062, -0.16483651, -0.05569374, 0.15418938, -0.046936) * g_6; result += mat4(0.1726453, 0.32175332, -0.2238786, -0.038357526, -0.057416882, 0.1856948, -0.15019979, -0.07717308, -0.05847253, -0.05986613, -0.09415613, 0.06858027, -0.4783783, -0.024743836, -0.039746255, 0.030463157) * g_7; result += mat4(-0.13700408, -0.021685323, -0.1302628, -0.08178966, 0.050457038, 0.052361347, -0.3721997, 0.1799716, -0.33779272, -0.2478128, -0.11195146, 0.03438403, -0.0769632, -0.01370984, 0.358675, -0.016251782) * g_8; result += mat4(0.18463574, -0.32811102, 0.09035979, -0.15944754, -0.01858092, -0.12055925, 0.11789398, -0.24762204, 0.19556394, 0.3658605, 0.0063217054, 0.13560002, -0.0031609968, -0.092887774, -0.11317696, 0.1688745) * g_9; result += mat4(-0.18825243, -0.057770394, 0.13403799, 0.15150245, -0.0184938, -0.16399476, -0.20233853, -0.15256546, -0.012932695, -0.006998052, -0.27886555, -0.1801957, 0.005736763, -0.16826138, -0.11622382, 0.009515264) * g_10; result += mat4(0.21212149, 0.025956135, -0.076748274, 0.081390835, 0.10770965, 0.14706889, -0.03222262, 0.02229013, 0.111733, 0.27851826, -0.06712574, 0.14247932, -0.21986732, -0.04752835, 0.18228333, -0.13603105) * g_11; result += mat4(-0.09660765, 0.1315258, 0.17911027, 0.11740451, -0.097255416, 0.060639273, -0.093187824, 0.02105227, -0.07707017, 0.089799285, -0.015904067, 0.1251983, 0.0164978, 0.12589863, 0.10049757, -0.2215788) * g_12; result += mat4(-0.019633045, 0.08128165, -0.21685003, 0.12429716, 0.21384989, 0.28713462, 0.36082667, 0.066602774, -0.20333257, -0.22721171, -0.272673, -0.0440037, -0.22458526, -0.100124046, 0.042302642, -0.10875494) * g_13; result += mat4(0.12793371, -0.019439168, 0.16232544, -0.27688906, 0.072149724, -0.2702213, 0.10965313, -0.23709685, -0.024219394, -0.17060119, -0.09893195, -0.06776005, 0.2715758, -0.03232274, -0.04255475, -0.37065327) * g_14; result += mat4(-0.32041374, -0.074793965, -0.036865823, -0.02918251, -0.017197197, 0.16684239, 0.025243908, -0.07547195, 0.13938503, 0.055163417, -0.011429674, -0.13055529, -0.20067081, -0.18778045, -0.11177742, 0.092909254) * g_15; result += mat4(0.14335759, -0.074887894, -0.097555235, 0.20072718, 0.026916051, 0.074796274, -0.040159326, 0.13532946, -0.074374124, -0.1852574, -0.26057327, -0.13128847, -0.08296219, -0.14694557, 0.110786796, 0.013070258) * g_16; result += mat4(-0.32044858, -0.063347876, -0.23396221, -0.21997774, 0.26588383, 0.028225997, 0.01708149, -0.24854802, -0.05019675, 0.18214068, 0.13636373, 0.25459006, 0.03579004, -0.13517296, 0.018898118, -0.16877192) * g_17; result += mat4(-0.07525496, 0.14939371, 0.17912684, -0.08323159, 0.10446684, -0.04631436, -0.02372887, -0.033120833, -0.04439999, 0.26327297, -0.0050649103, 0.0598028, 0.24129944, 0.042389676, 0.014767951, 0.005455403) * g_18; result += mat4(0.20534733, -0.04825815, -0.16734582, 0.12407057, 0.12095892, 0.113786094, -0.031531718, 0.09064296, 0.23715405, 0.12641983, 0.25125253, 0.13647586, 0.05642747, 0.21420534, -0.021030078, 0.0067664357) * g_19; result += mat4(-0.19284865, 0.016823744, 0.035537027, 0.08619851, -0.4948977, 0.34391722, -0.22931114, 0.14890936, 0.052512612, 0.037328973, -0.09397819, 0.04763624, -0.14281563, -0.07775558, 0.041917272, -0.24072154) * g_20; result += mat4(-0.016150191, -0.27570885, -0.043972906, -0.15360864, 0.12333279, -0.16048594, 0.19867133, -0.11443874, 0.0046046698, -0.08360428, -0.14277548, 0.09461427, 0.20481633, -0.07163476, -0.110096864, -0.2062863) * g_21; result += mat4(0.013339331, 0.039179143, -0.18245237, -0.29612786, -0.25390434, 0.06809853, 0.003070957, -0.11978623, -0.26271898, -0.18589073, 0.14316171, 0.1990445, 0.17755853, 0.056225445, -0.06782714, 0.29821777) * g_22; result += mat4(0.020388031, -0.09590241, 0.006317689, -0.17690729, 0.30927724, -0.3388045, -0.31306866, 0.027354693, 0.4423801, -0.16751811, -0.008609924, -0.08048698, 0.20227478, 0.0663151, 0.07970592, 0.055658944) * g_23; result += vec4(0.008592977, -0.044200934, -0.05895498, -0.02388236); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_21_tf //!BIND conv2d_21_tf1 //!BIND conv2d_21_tf2 //!BIND conv2d_21_tf3 //!SAVE conv2d_23_tf //!WIDTH conv2d_21_tf.w //!HEIGHT conv2d_21_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_21_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_21_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_21_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_21_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_21_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_21_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_21_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_21_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.09131138, 0.033908423, 0.06402078, 0.11773138, 0.1943823, -0.15592197, -0.13471745, -0.08529886, 0.06670752, -0.098241374, 0.12521602, -0.08512277, 0.1683658, 0.03740529, 0.037400503, -0.05727949) * go_0(-1.0, -1.0); result += mat4(-0.03644541, -0.040736966, -0.11249786, 0.11850314, 0.32783642, 0.00519888, -0.042442005, 0.06894669, -0.047855087, 0.14549308, -0.025135789, 0.116999514, 0.13979697, -0.14902762, 0.06489305, -0.03388391) * go_0(-1.0, 0.0); result += mat4(-0.023465028, 0.025934102, 0.09511252, -0.084230386, -0.1606496, -0.02123527, -0.20048198, 0.12044697, -0.2775636, -0.058961913, -0.14377111, -0.057033725, 0.082422875, -0.118948884, 0.008090666, -0.124874555) * go_0(-1.0, 1.0); result += mat4(0.11534857, 0.012932089, 0.07273674, -0.09807298, 0.06973694, -0.07309513, -0.06061797, -0.014805921, -0.17324777, 0.1589084, -0.300336, 0.011933996, 0.20000152, 0.054015145, 0.02382139, -0.012143371) * go_0(0.0, -1.0); result += mat4(0.05282883, -0.063555785, 0.2140791, 0.045857526, -0.09551571, -0.021092935, -0.030398421, 0.079699315, 0.27740473, 0.12863821, 0.11814711, -0.24691874, 0.0820826, -0.0122578805, 0.07135231, -0.14403847) * go_0(0.0, 0.0); result += mat4(-0.13553837, 0.030967671, 0.058927957, -0.05810357, 0.08453746, 0.1595707, 0.096559994, -0.06876099, 0.28936404, -0.20720041, 0.0921518, -0.06055625, 0.19537878, -0.027162874, 0.17818171, -0.16391847) * go_0(0.0, 1.0); result += mat4(-0.04569781, -0.009677751, 0.09629714, 0.16671604, 0.16229568, -0.09440705, 0.0773015, -0.094926424, 0.029782036, 0.07475886, -0.11624012, 0.102057815, -0.1621821, 0.0556299, -0.0009157474, 0.07957986) * go_0(1.0, -1.0); result += mat4(-0.086193435, 0.0050304797, 0.237151, 0.085645474, -0.09659096, -0.06742485, 0.045208316, -0.09497162, -0.1326794, 0.08950495, 0.101273924, 0.23780954, 0.10114795, 0.16358292, -0.04790394, -0.020107236) * go_0(1.0, 0.0); result += mat4(-0.04450685, -0.032620404, 0.041148815, 0.025766535, 0.04599292, -0.08062297, -0.07056962, 0.15501104, 0.018098447, -0.056441948, -0.0082316445, 0.009804846, -0.036104303, -0.22376746, 0.050941933, 0.019282423) * go_0(1.0, 1.0); result += mat4(0.017053317, -0.17366727, 0.0041483818, -0.030205533, 0.09859452, 0.0518556, 0.0133445915, -0.08444114, -0.28370312, -0.13151783, 0.31044328, 0.111910336, -0.032361325, -0.01770337, -0.010704456, 0.0144173745) * go_1(-1.0, -1.0); result += mat4(-0.12795548, -0.19439028, 0.11518335, 0.03526096, 0.047590613, -0.09982341, 0.17033744, -0.10617614, 0.09882225, -0.18019329, 0.16787401, -0.126714, 0.18646127, 0.029379264, -0.09348745, 0.1027056) * go_1(-1.0, 0.0); result += mat4(-0.009432709, 0.014073133, 0.07751331, 0.0007941653, 0.01451177, -0.016895872, 0.18490177, -0.17758124, -0.03889537, -0.2542268, -0.10398249, 0.026144411, 0.040533677, 0.16211097, -0.03735617, 0.14508058) * go_1(-1.0, 1.0); result += mat4(-0.073385045, -0.08633009, -0.012349179, 0.135039, -0.12819883, 0.108412564, 0.031421386, -0.15841225, 0.37309644, -0.3381479, 0.298765, 0.024899099, 0.18251772, 0.2509419, -0.22062813, -0.024837602) * go_1(0.0, -1.0); result += mat4(-0.06883072, -0.1503742, 0.052868135, -0.043145224, -0.113911405, 0.06986772, -0.20423973, -0.13115147, 0.03548683, 0.15488684, 0.048954308, 0.31241676, 0.1041569, -0.0075826123, -0.096361734, 0.19196175) * go_1(0.0, 0.0); result += mat4(0.047116484, -0.13105369, 0.055510826, -0.041513115, -0.06750568, -0.14283523, -0.16356061, -0.08123268, -0.006748819, -0.017072774, -0.017939035, 0.1346046, -0.13200043, 0.19815323, 0.029375095, 0.058383178) * go_1(0.0, 1.0); result += mat4(-0.075882465, -0.07738514, 0.017256761, 0.027561456, -0.0030985356, 0.11494044, -0.23481496, -0.0407894, 0.089194834, -0.3295602, 0.1349374, 0.024026528, -0.040600736, -0.019277403, -0.23993303, 0.070719585) * go_1(1.0, -1.0); result += mat4(0.15384857, -0.1404684, -0.08192259, 0.22059244, -0.056343608, -0.07680841, -0.028091991, 0.018050734, -0.06448074, -0.15879273, 0.05624588, 0.17439762, -0.15651157, 0.060068816, -0.022861151, -0.12604229) * go_1(1.0, 0.0); result += mat4(0.036010202, 0.006490351, 0.11859712, -0.059950985, -0.032708675, -0.21403344, -0.041310433, -0.09917238, -0.15357764, 0.061698433, 0.048517, 0.1609773, 0.06535186, -0.17659064, -0.16361596, 0.03786077) * go_1(1.0, 1.0); result += mat4(0.1510972, -0.03487374, 0.053542916, -0.07919296, 0.11544643, 0.01139448, 0.17608707, -0.2567972, -0.03395201, 0.1396058, 0.11766402, -0.02940849, 0.2797734, 0.040067323, -0.07184705, -0.08410531) * go_2(-1.0, -1.0); result += mat4(0.3535709, -0.3131969, 0.20586847, 0.0059938114, 0.018430991, 0.17028253, -0.15251099, 0.0781781, -0.24678783, 0.0091668675, 0.17472872, 0.09348784, 0.15651587, 0.082479276, 0.09133184, -0.010763655) * go_2(-1.0, 0.0); result += mat4(0.102569126, -0.39770702, 0.009020254, 0.015216178, 0.027688032, 0.14120215, 0.097465165, -0.023531476, 0.021813387, 0.037395973, 0.07099101, -0.018405994, 0.19843963, 0.1314482, -0.07058213, -0.16315302) * go_2(-1.0, 1.0); result += mat4(-0.0022617867, -0.011069732, -0.020649603, 0.013124551, 0.19050135, -0.020224325, -0.16795257, -0.039424885, 0.15197875, -0.15806125, 0.09604692, 0.05569294, -0.03755315, 0.02522338, -0.06173222, 0.12598173) * go_2(0.0, -1.0); result += mat4(-0.07598657, 0.19927181, -0.08278574, -0.26276442, 0.15123075, 0.13646364, 0.20835224, -0.20013718, 0.099280365, 0.03925767, 0.030458648, 0.085807234, -0.02627184, -0.005727388, 0.14358924, 0.17159012) * go_2(0.0, 0.0); result += mat4(0.07014556, -0.12877329, 0.14059919, -0.1535854, 0.03571712, 0.16899629, -0.017528472, 0.27891418, -0.02036702, -0.0625575, -0.06368575, 0.057756003, -0.13453323, 0.27671248, 0.004629296, -0.26900387) * go_2(0.0, 1.0); result += mat4(-0.06847566, -0.21366367, -0.039819483, -0.027131073, 0.30385053, 0.027070398, 0.050060987, 0.22837809, 0.035667785, -0.038031258, 0.002818757, 0.077267155, 0.003597696, 0.1531482, -0.058937583, 0.009182411) * go_2(1.0, -1.0); result += mat4(-0.16412063, 0.0954355, -0.13111196, -0.0010777399, 0.124151364, 0.13577148, 0.117423296, 0.07165251, 0.045134697, 0.006139977, 0.10442549, 0.18485071, 0.23051512, 0.03836801, 0.13989983, 0.15473667) * go_2(1.0, 0.0); result += mat4(-0.17817432, 0.06480376, -0.052858084, -0.0685316, 0.050766367, 0.18178764, 0.054162186, -0.23053114, -0.07155077, 0.08317291, 0.08087355, 0.11692418, 0.17209543, 0.07348017, -0.019608062, 0.047815118) * go_2(1.0, 1.0); result += mat4(0.05242205, -0.05213162, 0.17836288, -0.027634641, 0.11689667, 0.16717364, 0.10070081, -0.020730542, -0.03840858, 0.22093919, 0.086223215, -0.12441894, -0.04431571, -0.16067247, -0.00534175, -0.17543635) * go_3(-1.0, -1.0); result += mat4(0.0037269965, 0.038231213, -0.06994185, -0.16372295, 0.03060376, -0.15052626, 0.19193533, 0.20571958, 0.14663228, 0.046056807, -0.013436354, 0.30891243, -0.05121337, -0.14922823, -0.038022388, -0.38717356) * go_3(-1.0, 0.0); result += mat4(-0.24040397, 0.06540199, -0.08115575, -0.1086239, 0.16053584, -0.07767291, 0.09287401, 0.03635286, -0.068610564, -0.08793643, -0.022505488, 0.0021461847, 0.14514421, -0.05938948, -0.070294835, -0.15001974) * go_3(-1.0, 1.0); result += mat4(-0.14725754, 0.1766625, -0.049569584, -0.03776424, -0.070841715, -0.1235983, 0.28747836, -0.071502686, 0.08114895, -0.018539542, 0.14620744, 0.012727906, 0.05387464, -0.03048568, -0.020431526, -0.19388756) * go_3(0.0, -1.0); result += mat4(-0.026303306, -0.025468629, -0.15062398, 0.114179656, 0.019424522, 0.11645826, -0.054830663, 0.078278676, 0.17537925, -0.27309817, 0.085727856, 0.17053008, -0.009340296, -0.32924372, -0.13124111, -0.025490649) * go_3(0.0, 0.0); result += mat4(-0.042400144, -0.049280033, -0.12039706, -0.17957337, -0.14830892, 0.1251945, 0.23149583, 0.28181273, -0.14767516, -0.14848503, 0.14360987, 0.16052951, -0.074891195, 0.06248858, 0.055073753, 0.04758557) * go_3(0.0, 1.0); result += mat4(-0.09363487, -0.1045394, 0.0017166267, -0.12985104, 0.015910368, 0.102758124, 0.14058472, -0.2664263, -0.037670832, -0.38395768, 0.21591122, 0.020808058, -0.21803327, -0.1312806, -0.017887505, 0.020433053) * go_3(1.0, -1.0); result += mat4(-0.05004401, -0.09497019, -0.027566075, 0.113181084, 0.07103934, 0.2734206, -0.03059386, -0.0332269, 0.102268346, 0.008209988, 0.35907993, -0.06962411, -0.018797243, -0.10854897, -0.047280792, -0.17607129) * go_3(1.0, 0.0); result += mat4(0.057423804, -0.09471347, -0.014889988, -0.16183464, -0.120575145, 0.087070495, 0.06833499, -0.09479741, 0.03847108, 0.10778999, 0.056107424, -0.23145913, 0.024419997, 0.103265956, -0.08921305, -0.09757912) * go_3(1.0, 1.0); result += mat4(0.13384978, -0.079113975, 0.2673455, -0.001388325, 0.09020357, -0.031004086, -0.06706532, -0.09712962, 0.006595455, -0.07330424, 0.027356524, 0.05175056, -0.0071680583, -0.17523831, -0.2500806, 0.068184644) * go_4(-1.0, -1.0); result += mat4(-0.010806503, -0.087054394, 0.01247482, -0.049433894, 0.24250141, -0.012302364, -0.09836663, -0.010441689, -0.01736698, 0.06227692, -0.08207885, -0.08397307, 0.10839543, 0.0582591, 0.10652411, -0.1263973) * go_4(-1.0, 0.0); result += mat4(0.051801708, 0.10008741, 0.085652865, 0.03317883, -0.011784595, -0.09476136, -0.060254402, -0.03993118, 0.15938812, -0.036154263, -0.023724914, 0.023072388, -0.1830834, -0.16257459, 0.011939983, -0.019817753) * go_4(-1.0, 1.0); result += mat4(0.009384002, 0.22132717, -0.10790506, -0.13403648, -0.12867084, 0.0170318, -0.26573703, 0.15219554, 0.05208657, 0.028437164, -0.0075094504, 0.16358465, -0.25728798, -0.14209302, -0.090628594, -0.020266641) * go_4(0.0, -1.0); result += mat4(-0.105271295, -0.08334642, 0.066386715, -0.08532908, 0.034230784, 0.003183763, -0.061057337, -0.08763742, -0.017104378, 0.06903514, 0.00011934939, 0.18061033, -0.11321395, -0.13238335, 0.02217801, 0.16734014) * go_4(0.0, 0.0); result += mat4(-0.054016914, -0.3251611, 0.10844312, 0.06809114, -0.026177978, 0.03295877, -0.25813127, -0.13190097, 0.1646799, 0.10207205, -0.070685804, 0.060001995, 0.11520876, 0.017403806, -0.13937482, -0.0474489) * go_4(0.0, 1.0); result += mat4(0.2081571, 0.05452599, 0.08682483, -0.0080074575, -0.20034009, 0.041490223, -0.13525641, -0.08825766, 0.11166498, 0.05461938, 0.062119294, 0.07054797, 0.28615478, -0.10186286, 0.039416775, -0.09058381) * go_4(1.0, -1.0); result += mat4(-0.002028956, 0.13792294, 0.052321367, -0.10081957, -0.10832031, 0.14681582, 0.034581225, 0.28766856, -0.12628017, 0.22492304, 0.12147461, -0.117368974, -0.09258678, -0.107831135, -0.091728576, 0.056776278) * go_4(1.0, 0.0); result += mat4(0.09331942, 0.10814952, 0.17062774, -0.07358676, -0.1413653, 0.043760024, -0.022969319, 0.09290279, 0.022235138, -0.105375476, 0.03461203, -0.018847216, 0.016480181, -0.022482162, -0.13637148, 0.19234383) * go_4(1.0, 1.0); result += mat4(0.02810646, -0.031316705, -0.0178568, -0.14513317, 0.15981704, -0.039926987, 0.17865102, 0.11936641, 0.08213655, -0.0325407, -0.1515291, -0.12928765, 0.011806648, -0.16914015, -0.004875871, 0.106102616) * go_5(-1.0, -1.0); result += mat4(-0.13184357, 0.061656546, 0.060945187, -0.105421364, -0.037199628, 0.11896752, -0.060773082, 0.045614343, -0.08332208, -0.049595445, 0.09597651, -0.30532154, 0.15812595, -0.042516127, 0.18399784, 0.16094239) * go_5(-1.0, 0.0); result += mat4(-0.33316278, -0.011284583, -0.16349995, -0.027859828, -0.0265469, 0.11809671, 0.010981738, 0.14738315, 0.06092039, -0.14193222, 0.1506528, -0.07094368, -0.024454627, -0.015645336, 0.034780208, 0.049217694) * go_5(-1.0, 1.0); result += mat4(0.107179366, 0.07066249, 0.029978203, 0.04064619, 0.14367694, -0.0707521, -0.043202203, -0.07755337, -0.1414949, -0.075680286, 0.07212854, -0.10426819, -0.053450912, -0.036483523, -0.088566504, 0.023040567) * go_5(0.0, -1.0); result += mat4(-0.07250885, -0.024153208, -0.15135773, -0.12738611, -0.13865541, 0.2558854, -0.062863655, 0.026076516, -0.11330215, -0.1421894, 0.078908496, 0.09536156, 0.09768448, -0.040809087, -0.01081564, 0.12752384) * go_5(0.0, 0.0); result += mat4(-0.007411453, -0.26306254, -0.09460912, -0.1274183, 0.17549448, 0.10265319, 0.1523632, 0.00567592, -0.010893677, -0.015474816, 0.00347949, 0.06572276, 0.103830785, -0.11260262, -0.1559419, 0.01961365) * go_5(0.0, 1.0); result += mat4(-0.27802208, 0.06816621, -0.03126256, 0.09541582, -0.027612302, -0.13786513, -0.01970176, 0.14447582, -0.027928956, 0.035179827, 0.08529638, 0.0041394024, -0.115290634, 0.009893316, -0.06947281, -0.12085376) * go_5(1.0, -1.0); result += mat4(-0.15621363, 0.027770502, 0.22415419, -0.008533331, -0.07490461, 0.063894406, 0.07851438, -0.10022149, 0.037019495, -0.18932734, -0.054964032, -0.019382603, -0.061845765, -0.0727259, -0.07052952, -0.017668312) * go_5(1.0, 0.0); result += mat4(0.062352043, -0.16134496, -0.11203861, 0.028929278, 0.03922491, -0.03502952, -0.23796257, -0.15868919, -0.009224885, 0.08150161, 0.16375063, 0.05467114, 0.0034257919, 0.020632897, 0.029710175, -0.051271148) * go_5(1.0, 1.0); result += mat4(-0.10077094, -0.13743052, -0.13426858, 0.02795044, -0.03258582, 0.0035150647, -0.23349123, 0.08158031, -0.14671959, -0.106468596, -0.052647196, 0.15170865, -0.077066086, -0.13687505, -0.100158766, 0.072148666) * go_6(-1.0, -1.0); result += mat4(-0.18043056, 0.01471657, -0.14077441, -0.07036914, 0.0041728304, 0.0025488208, -0.09778906, 0.022951962, 0.03756181, -0.09718527, 0.05790759, -0.12635967, 0.13590017, -0.009978917, -0.072935194, -0.04623219) * go_6(-1.0, 0.0); result += mat4(-0.11367442, -0.009137989, -0.2793412, -0.044882946, 0.06419393, -0.043046396, -0.15428057, -0.14217602, 0.025581103, -0.08229003, -0.020829663, 0.06563624, -0.030519947, 0.030248122, 0.03430571, -0.013708682) * go_6(-1.0, 1.0); result += mat4(-0.2279588, -0.18872449, -0.025711812, -0.0030177163, -0.04904665, -0.012416222, -0.043616265, -0.025587335, -0.13296616, 0.04638035, 0.04678556, 0.03844558, -0.18179114, 0.09372293, -0.010590236, 0.01083938) * go_6(0.0, -1.0); result += mat4(0.1509907, -0.0481407, 0.0733552, -0.11650966, -0.060449038, 0.045509655, -0.020972773, 0.06986917, -0.14222102, 0.011846137, -0.17001152, -0.057357326, -0.16672502, 0.04941284, -0.047788143, 0.062904075) * go_6(0.0, 0.0); result += mat4(-0.026204882, 0.1379135, 0.07676878, 0.09819616, 0.0367303, -0.10786471, -0.0075898385, -0.07676497, -0.11037974, -0.26268724, 0.19532666, -0.07363598, -0.07052941, 0.12609297, 0.072664596, -0.05314863) * go_6(0.0, 1.0); result += mat4(0.08999991, 0.0558405, -0.076048166, 0.02103657, -0.027882319, 0.010349208, -0.10227, -0.057416655, -0.14109646, 0.09137617, 0.014954059, -0.1576444, 0.08265091, 0.17756382, 0.009793101, 0.016993368) * go_6(1.0, -1.0); result += mat4(0.027727338, 0.035738327, -0.050455257, 0.0270335, -0.025559573, -0.015427726, -0.083071664, 0.061004713, 0.020193916, -0.07887369, -0.02108076, 0.11720328, 0.13798134, 0.13345529, -0.14398462, -0.029060662) * go_6(1.0, 0.0); result += mat4(-0.07745766, -0.041309092, -0.17316692, 0.033977617, 0.15394445, -0.16951908, -0.0063321716, 0.080495596, -0.0017852545, -0.28805718, 0.0700991, 0.018410137, 0.003488375, 0.19910179, 0.10167056, 0.025110798) * go_6(1.0, 1.0); result += mat4(-0.15580481, 0.020477565, 0.11532024, 0.03976763, 0.18229389, 0.1271016, 0.08770817, -0.09774775, 0.06600797, 0.01689596, 0.18700399, 0.09403785, -0.009046925, -0.01108422, 0.058958236, -0.047931902) * go_7(-1.0, -1.0); result += mat4(0.06310476, 0.06905119, 0.018878374, 0.025518246, 0.10841674, 0.09996408, -0.024993157, -0.01841523, -0.05029303, 0.11934722, -0.038388044, 0.06257424, -0.2838227, -0.11319486, -0.06147547, 0.032279905) * go_7(-1.0, 0.0); result += mat4(0.106864855, -0.14675911, 0.13882893, 0.15282702, 0.10262944, 0.1212188, -0.12513219, 0.09966214, 0.14789942, -0.008914957, 0.042973127, 0.07553493, -0.025540594, -0.05686568, -0.06566971, -0.0020550704) * go_7(-1.0, 1.0); result += mat4(0.0414937, -0.107962914, 0.0866677, -0.14541091, -0.035804186, -0.03858178, -0.05039649, -0.050335135, 0.1229951, 0.19201261, 0.14003956, -0.08397869, 0.005254548, 0.0066002896, -0.077449955, 0.009956068) * go_7(0.0, -1.0); result += mat4(-0.0063296407, 0.028561544, 0.08341632, 0.22342314, -0.01691521, 0.031374026, 0.050613165, 0.034745082, 0.032332152, 0.09849194, -0.007582172, 0.15742157, -0.041984398, -0.008867525, 0.03506499, -0.24573727) * go_7(0.0, 0.0); result += mat4(-0.07056382, 0.0636449, 0.03233018, 0.1501561, 0.06066885, 0.11464044, 0.040849507, -0.13865003, 0.076462656, 0.12667337, 0.029632922, 0.25268108, 0.114084266, -0.17584173, 0.016733518, -0.17203353) * go_7(0.0, 1.0); result += mat4(-0.01064123, 0.029628627, 0.027050711, -0.18520628, 0.07674622, 0.15729839, -0.030779244, -0.0634873, 0.1574134, 0.07093152, 0.07546052, -0.070630684, -0.022203514, 0.05314295, -0.061366297, -0.0079711685) * go_7(1.0, -1.0); result += mat4(-0.07035216, 0.17515408, -0.029123412, 0.16910394, 0.08932361, 0.07208431, -0.11704755, 0.11410879, 0.036213387, 0.12823173, -0.07582252, 0.077650435, 0.06261303, -0.04147947, -0.04317352, 0.0021995064) * go_7(1.0, 0.0); result += mat4(-0.15121935, 0.13061461, 0.0625614, 0.21688727, 0.2871471, 0.16875097, -0.10717908, 0.11702028, 0.034555722, -0.020147238, -0.10780166, -0.10345562, 0.07117743, -0.0009922339, 0.16038051, -0.015311427) * go_7(1.0, 1.0); result += vec4(0.014096946, 0.0069551114, -0.010140134, -0.058456354); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_21_tf //!BIND conv2d_21_tf1 //!BIND conv2d_21_tf2 //!BIND conv2d_21_tf3 //!SAVE conv2d_22_tf //!WIDTH conv2d_21_tf.w //!HEIGHT conv2d_21_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_21_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_21_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_21_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_21_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_21_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_21_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_21_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_21_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.10223896, -0.003962179, -0.026885005, 0.11193138, -0.13312434, -0.025076041, -0.059773684, 0.017627714, -0.011125944, 0.14110252, -0.01591333, -0.103229046, 0.06469717, 0.080973566, 0.1377451, -0.085188426) * go_0(-1.0, -1.0); result += mat4(-0.012705599, -0.12700035, 0.1918345, -0.0019184656, -0.0847267, 0.03148527, 0.06449907, -0.076839246, -0.034566037, 0.114147305, -0.024244096, -0.07691169, 0.038501963, -0.1080852, 0.040208496, -0.06312811) * go_0(-1.0, 0.0); result += mat4(-0.033068754, -0.10348481, -0.058994904, -0.114934064, 0.15838924, -0.010264998, -0.12799472, 0.020845814, -0.018875258, -0.08804753, 0.01602375, 0.12608516, 0.054035492, -0.07701545, 0.04347651, 0.06463367) * go_0(-1.0, 1.0); result += mat4(0.017377479, -0.03754917, 0.024689697, -0.057927262, 0.0028631683, -0.05547405, 0.012137814, 0.02843827, -0.0352874, -0.19916151, 0.04784842, 0.21002018, 0.081276864, 0.011102207, -0.083124526, -0.031950574) * go_0(0.0, -1.0); result += mat4(0.01873304, -0.09044405, 0.30275765, 0.08380349, 0.014064781, 0.09168157, -0.1864819, -0.0021196704, -0.07948197, -0.020107562, -0.03004029, -0.1622591, 0.071999714, 0.04594003, 0.008249409, -0.04092763) * go_0(0.0, 0.0); result += mat4(0.019689152, -0.0032011836, -0.08279852, -0.098952815, 0.063363254, 0.041723877, -0.045762774, -0.07205901, -0.019022591, -0.003969965, 0.0026567664, -0.17724961, 0.013349725, -0.0045725764, 0.008257882, -0.067322485) * go_0(0.0, 1.0); result += mat4(-0.012290499, 0.09406699, -0.07163798, 0.04803333, 0.06828126, -0.019982453, -0.08896813, -0.0040559024, 0.037249956, 0.01023478, 0.10625678, -0.15654735, 0.087492324, 0.08580872, -0.011420013, -0.021355275) * go_0(1.0, -1.0); result += mat4(0.07686104, 0.09579432, -0.25340828, -0.07615695, -0.056016568, -0.120171346, -0.15931551, -0.029862411, 0.02335221, 0.011431254, -0.0030845958, -0.07218796, 0.07774282, 0.13269827, 0.04881306, -0.11035891) * go_0(1.0, 0.0); result += mat4(0.044817206, -0.048356906, -0.16389881, 0.015139408, -0.07451794, 0.04694384, -0.02990636, -0.10855492, -0.21666275, -0.052773386, -0.25028092, -0.11746603, 0.077358045, 0.10103544, 0.08527534, -0.06464521) * go_0(1.0, 1.0); result += mat4(0.03582138, 0.010487161, 0.0029515699, -0.110723086, 0.049549296, 0.14427675, -0.0609413, 0.06046345, 0.09253051, 0.1868415, -0.015272976, -0.11376719, -0.03537348, -0.09238331, -0.0036336356, 0.09587111) * go_1(-1.0, -1.0); result += mat4(-0.015760727, 0.100032315, 0.0521871, -0.12693447, 0.032953065, -0.01678644, -0.022978857, 0.08453327, 0.052290775, -0.03598402, -0.03558539, 0.034810137, -0.12757197, 0.06762186, 0.1608983, 0.22212158) * go_1(-1.0, 0.0); result += mat4(-0.025843577, -0.018167645, -0.048210423, -0.09630522, 0.037900604, 0.0091229845, -0.07650797, 0.27066034, 0.18431275, 0.09829389, -0.10438764, -0.048666675, -0.015207321, -0.13972227, -0.18127172, -0.007995113) * go_1(-1.0, 1.0); result += mat4(-0.03881291, 0.07503142, -0.033570364, -0.045351487, -0.0022145896, 0.010733563, -0.020720467, 0.00081354816, 0.21934588, 0.09224533, -0.08031286, -0.038364504, -0.029873388, -0.25665647, 0.15941957, 0.025528809) * go_1(0.0, -1.0); result += mat4(-0.09370064, 0.029663661, 0.012679274, -0.043068074, -0.028991526, 0.0574283, 0.056197148, -0.21286213, -0.26483896, -0.23181885, -0.2694775, 0.1776773, 0.26530752, 0.037465684, 0.131577, 0.18775755) * go_1(0.0, 0.0); result += mat4(0.11927666, -0.017253317, -0.037208788, 0.12963869, 0.1836903, -0.05355178, -0.10927929, 0.088714115, 0.092516005, -0.055786908, -0.3765548, 0.22553508, -0.17434292, 0.07682209, -0.17492367, 0.07921552) * go_1(0.0, 1.0); result += mat4(0.03987739, 0.21923572, -0.052704852, -0.03514489, -0.0008559233, 0.08740523, -0.038235787, 0.004649678, 0.023195285, 0.07912857, -0.3316638, -0.0018697636, -0.16311869, -0.08239248, -0.08974983, -0.061523616) * go_1(1.0, -1.0); result += mat4(0.17971839, -0.10032153, 0.09912109, 0.11419959, -0.07862786, 0.18860018, -0.0054023685, -0.0063197673, -0.075057484, 0.11919032, 0.10870008, -0.0010593111, -0.028237697, -0.1403867, -0.15338054, -0.031212265) * go_1(1.0, 0.0); result += mat4(-0.011073167, -0.021512758, -0.035089463, -0.02270197, 0.1203147, -0.0060833353, -0.06553638, -0.0131418705, 0.037314773, -0.11951629, -0.07282935, 0.18580095, 0.15012014, 0.04814535, -0.09726508, -0.06860187) * go_1(1.0, 1.0); result += mat4(0.21669087, 0.013801443, 0.02671932, -0.044553265, 0.15349442, -0.0046121236, 0.032123394, -0.12168837, 0.0038842869, -0.023972327, -0.109120324, 0.050505854, -0.023916, 0.013567219, 0.1173681, -0.04551501) * go_2(-1.0, -1.0); result += mat4(0.057128176, 0.14977872, 0.06343218, 0.06697086, 0.022058524, 0.07482639, -0.041569967, 0.14565067, -0.020313857, -0.07762924, 0.10456895, 0.27812317, 0.0072891894, -0.02010702, 0.025450159, -0.3102941) * go_2(-1.0, 0.0); result += mat4(-0.055387553, -0.0821909, 0.020622486, -0.046749815, 0.14326937, 0.06796682, -0.12731776, -0.009783433, 0.068818465, -0.15524474, -0.06790948, -0.12209928, -0.0697275, -0.033641398, -0.037991934, 0.109325044) * go_2(-1.0, 1.0); result += mat4(0.103576414, 0.1382662, 0.0076591466, 0.039789278, -0.00029025285, -0.04420823, -0.016814036, 0.23830856, 0.052784596, -0.042569418, 0.08211856, 0.0014383788, -0.09317573, 0.07717305, 0.034522586, 0.10883371) * go_2(0.0, -1.0); result += mat4(0.20095795, -0.0762468, -0.122009076, -0.0019315446, 0.0342841, -0.002261875, 0.01336527, 0.037054777, 0.010654201, 0.0647512, 0.24071957, 0.03390332, 0.1840019, 0.026103802, -0.00016578182, -0.15023609) * go_2(0.0, 0.0); result += mat4(-0.06991413, -0.20303409, 0.13652301, -0.075541444, 0.21606784, 0.06376107, -0.019836407, 0.30286798, 0.2425298, -0.17736211, 0.07770617, -0.19528265, -0.053150296, -0.059372786, -0.08591091, -0.22004424) * go_2(0.0, 1.0); result += mat4(0.19765162, -0.0076910453, -0.04445224, 0.1611108, -0.050294112, 0.05884916, -0.0031236073, 0.06223903, 0.062324606, 0.035158884, -0.059429616, 0.09551932, 0.023106437, -0.015674893, 0.037365414, 0.13782242) * go_2(1.0, -1.0); result += mat4(0.03288134, 0.24910542, -0.21833506, 0.034457803, 0.13643186, 0.13222183, 0.1179716, 0.21309394, 0.011414155, -0.063580126, 0.028173532, 0.015402401, 0.09219631, 0.15509954, 0.09644083, -0.004912005) * go_2(1.0, 0.0); result += mat4(-0.122666344, -0.022612955, -0.18204625, -0.13870001, 0.13226813, -0.020959264, -0.15983039, 0.24193098, 0.009062403, 0.02852321, -0.07637169, -0.07182108, -0.063936904, -0.110338956, 0.08894499, 0.010865757) * go_2(1.0, 1.0); result += mat4(-0.06311616, 0.032602638, 0.07815579, -0.085873865, -0.028512893, -0.10872674, 0.11407672, -0.1198108, 0.14156549, -0.26490405, -0.013681608, 0.17903471, 0.019571627, 0.08797144, 0.14598761, 0.1752151) * go_3(-1.0, -1.0); result += mat4(0.060934067, -0.043878168, -0.03281894, 0.1515089, -0.031678505, 0.08898307, -0.09095997, -0.077509135, -0.028398534, -0.032485247, -0.07366146, -0.04646123, 0.03640116, 0.059365295, 0.0358693, 0.114865065) * go_3(-1.0, 0.0); result += mat4(-0.00442871, 0.072429955, -0.18537655, -0.06719485, -0.09143303, -0.13743407, -0.0929156, -0.07207548, 0.03515558, -0.2056265, 0.043447953, -0.1127557, 0.14011581, -0.015595671, -0.044881705, 0.011502557) * go_3(-1.0, 1.0); result += mat4(-0.11697889, -0.099679604, 0.031066136, 0.082590826, 0.10863569, -0.067363665, -0.20282263, -0.15688327, -0.042486712, -0.013625548, 0.048191063, -0.041503422, -0.04337012, 0.02459068, -0.119529836, -0.07766196) * go_3(0.0, -1.0); result += mat4(-0.07818919, -0.21690421, 0.03777118, 0.020176264, -0.11963998, -0.20380595, -0.11266237, 0.10204603, -0.055295635, 0.042670958, 0.032413233, -0.29787624, -0.09695584, -0.06951056, -0.111144245, 0.27353725) * go_3(0.0, 0.0); result += mat4(-0.074568786, -0.033846285, -0.11303718, 0.01347156, 0.13417509, -0.035141, 0.0549755, -0.055368077, 0.08586122, -0.06080446, -0.0649666, 0.034248006, 0.055422872, 0.0002444246, -0.05463847, -0.004172834) * go_3(0.0, 1.0); result += mat4(0.043535687, 0.049146313, -0.08071237, 0.05743858, -0.009361048, -0.104187995, -0.05914457, 0.015472587, 0.051585488, 0.13609129, 0.039380804, -0.09487062, -0.029992107, 0.20127308, -0.016586518, -0.0118653355) * go_3(1.0, -1.0); result += mat4(-0.11341038, -0.06534287, -0.00969141, 0.09842377, -0.15015216, -0.13036063, 0.16397302, -0.035185672, 0.014939415, 0.09231899, 0.0960422, 0.098402545, 0.05026251, -0.052272506, -0.07076674, 0.1017807) * go_3(1.0, 0.0); result += mat4(0.09410467, 0.06965212, -0.050828446, -0.014842064, -0.05672778, 0.0034312159, -0.12667121, 0.08755347, -0.19107659, -0.14826727, -0.148465, 0.044678684, 0.12208376, 0.05630527, -0.09849773, 0.059570145) * go_3(1.0, 1.0); result += mat4(-0.0056368727, -0.060553093, 0.06869724, -0.2671654, 0.074483775, -0.22439592, 0.03412359, -0.042746507, -0.00033218932, 0.029451698, -0.11889161, 0.02450455, -0.050221678, -0.036697924, 0.10979591, 0.006301693) * go_4(-1.0, -1.0); result += mat4(0.14260219, -0.059394777, 0.008651593, -0.030021094, -0.10832626, -0.10480623, -0.051381744, 0.14397325, 0.10055106, -0.124934874, 0.071788386, -0.026599124, 0.21032484, -0.033513267, 0.15657996, -0.14035532) * go_4(-1.0, 0.0); result += mat4(-0.13892077, -0.10481157, 0.035189748, -0.047936644, -0.039695438, 0.10282643, -0.04772888, -0.05615731, -0.0629154, 0.029910412, 0.016778577, 0.15581344, 0.07343337, 0.09643205, -0.007878382, 0.03907105) * go_4(-1.0, 1.0); result += mat4(-0.013479193, -0.11390557, -0.054494295, -0.018774029, -0.07810012, -0.017801207, -0.09907588, -0.068129614, -0.0441842, 0.17567265, 0.015810724, 0.12202828, -0.09561252, 0.18990034, 0.046686, 0.07932812) * go_4(0.0, -1.0); result += mat4(0.12950182, -0.0764622, -0.16708113, -0.041282784, -0.034567624, -0.046898007, -0.047732405, -0.16523215, -0.098671466, 0.11115384, 0.018733667, -0.030257061, 0.024691723, 0.14673457, -0.0042721583, -0.073733196) * go_4(0.0, 0.0); result += mat4(-0.1880415, 0.058407295, -0.024268452, -0.08863777, -0.00033153518, -0.067544006, -0.14007194, 0.09763543, -0.13311495, -0.013045288, 0.080994524, -0.0021852767, 0.2526301, -0.15590498, 0.06513285, 0.008684614) * go_4(0.0, 1.0); result += mat4(-0.16307826, -0.061499167, 0.10007602, -0.13215826, -0.007965347, 0.15285823, -0.1121792, -0.07439956, -0.07243183, 0.012338051, 0.020877926, 0.15401553, 0.079975344, -0.08843829, -0.016215425, -0.05091215) * go_4(1.0, -1.0); result += mat4(-0.13515377, -0.22893935, -0.023000397, -0.103096426, 0.025951281, 0.13526388, -0.0009632785, -0.17457137, 0.015916126, -0.0067753294, -0.15909977, 0.03092967, -0.04734426, -0.0912585, 0.05898728, 0.26564533) * go_4(1.0, 0.0); result += mat4(0.0035275293, 0.012649278, 0.1948556, -0.07416863, 0.02219981, 0.016499944, -0.12379185, -0.00033774113, -0.07067968, 0.07390183, -0.013505385, 0.02139018, 0.09119292, 0.10301386, 0.020239206, 0.020797301) * go_4(1.0, 1.0); result += mat4(0.03793496, 0.047918268, -0.042518344, -0.003040927, -0.004914266, -0.06466914, 0.1054016, -0.030953595, 0.05262255, 0.059544593, 0.0012515553, 0.023376456, -0.11946804, 0.022816675, 0.12599446, -0.039031338) * go_5(-1.0, -1.0); result += mat4(0.011011564, -0.06995047, 0.09471372, 0.073482506, -0.1361997, -0.103040315, -0.06262413, 0.11690031, 0.07043588, 0.047068246, -0.054675575, 0.038323287, 0.016909422, -0.26532903, 0.124031335, -0.15765414) * go_5(-1.0, 0.0); result += mat4(0.1326377, -0.05869703, 0.055429142, -0.012859626, -0.15007673, 0.14602819, -0.08654888, 0.11824468, -0.059663087, -0.10994563, 0.043549772, -0.10930523, -0.019649897, -0.0034801385, 0.045497436, 0.114508495) * go_5(-1.0, 1.0); result += mat4(-0.113787495, 0.037103496, -0.110569924, -0.059518036, 0.058745943, 0.08719483, 0.02520162, 0.025358152, -0.045150854, 0.1504978, -0.14076203, 0.0943479, 0.047369894, 0.011271822, 0.09715413, 0.028001258) * go_5(0.0, -1.0); result += mat4(0.13310856, 0.10608291, 0.08023608, -0.18634102, 0.2721929, -0.10385782, 0.08757403, 0.20912756, 0.008799337, 0.054682046, 0.08106119, 0.051967915, -0.0420578, -0.08070327, 0.14520262, -0.11477875) * go_5(0.0, 0.0); result += mat4(-0.046184566, 0.025668617, 0.10700355, -0.039824486, -0.2480234, 0.027258608, 0.0951336, 0.12978607, -0.05499455, -0.13601139, 0.12724544, -0.15641823, -0.0873552, -0.02188817, 0.10117889, 0.07147513) * go_5(0.0, 1.0); result += mat4(-0.070887625, -0.042188253, -0.05307244, 0.08367565, -0.05394035, 0.032729495, 0.033332206, -0.018877268, -0.091275655, -0.0510818, 0.08523829, 0.11053021, -0.054227974, -0.03259413, 0.05457483, -0.1096016) * go_5(1.0, -1.0); result += mat4(-0.14503245, -0.091081366, -0.13127449, -0.0807559, 0.108912565, -0.021791635, -0.11024329, -0.0138166705, 0.024161678, 0.033913497, 0.09756464, -0.053126756, -0.08025202, 0.04498814, -0.031021861, -0.02993253) * go_5(1.0, 0.0); result += mat4(-0.25045946, -0.054898996, -0.0071393256, 0.041971236, -0.019135686, 0.08095327, 0.04526907, -0.09426112, 0.06313221, -0.044544, 0.07875577, -0.067794, 0.10187279, -0.035654344, 0.12284866, 0.03620429) * go_5(1.0, 1.0); result += mat4(0.0943095, -0.06398471, 0.021779256, -0.010619206, -0.1617448, -0.0017947294, 0.023434827, 0.04754851, -0.046987966, 0.017030017, 0.019708563, 0.09053293, -0.067873746, -0.06164325, 0.0011462327, -0.017837046) * go_6(-1.0, -1.0); result += mat4(0.12039112, -0.17216775, -0.07337242, 0.13252397, 0.08201477, -0.029474648, -0.0034474097, -0.13619982, -0.17575242, 0.020274922, 0.018647762, -0.28044346, -0.07714025, 0.0890905, -0.019951884, 0.05899824) * go_6(-1.0, 0.0); result += mat4(0.0033426161, -0.01923198, 0.06659414, -0.0122886365, 0.04478331, -0.03897386, 0.12604317, 0.008812119, -0.09419456, -0.023979114, 0.21770099, -0.054838024, -0.053163752, 0.010338786, 0.04925877, 0.037819408) * go_6(-1.0, 1.0); result += mat4(0.14372422, 2.9918947e-05, 0.01845988, 0.09333284, 0.054844312, 0.059736133, 0.021345338, -0.09120293, -0.17127307, -0.075915925, -0.119462065, -0.1835271, 0.12677628, -0.041337408, 0.03678916, 0.14712988) * go_6(0.0, -1.0); result += mat4(0.055389576, 0.13690695, 0.02925458, -0.028905952, 0.17396308, -0.14087082, -0.026549693, 0.013602965, 0.16962606, 0.016811062, 0.062239293, -0.066154756, -0.07894684, 0.07768367, -0.10873246, -0.059606884) * go_6(0.0, 0.0); result += mat4(0.04707709, 0.040111955, 0.15547106, 0.0143624535, -0.04931132, -0.1799645, -0.014157518, -0.11942247, -0.3786742, -0.0926198, 0.048465937, -0.16508308, -0.18456425, -0.005596354, 0.010553759, -0.14650412) * go_6(0.0, 1.0); result += mat4(-0.12822108, -0.079825334, 0.037238546, -0.05552771, 0.0143161025, -0.0038768095, -0.11916319, 0.03297939, 0.012635646, -0.103318, 0.035178438, -0.05269534, 0.010272984, -0.076760076, -0.0404603, -0.094428495) * go_6(1.0, -1.0); result += mat4(-0.008478651, -0.14902028, 0.1311909, -0.01592968, 0.040431064, 0.08323771, -0.20654729, 0.11949456, -0.14009294, 0.02057732, 0.06463541, -0.14152607, 0.13293357, 0.04113506, 0.1639069, -0.025289651) * go_6(1.0, 0.0); result += mat4(-0.007400942, -0.1505565, -0.013284112, -0.015629197, 0.100692146, 0.19005777, -0.0576178, -0.027158504, 0.08660662, -0.06668144, 0.11079919, -0.074782886, -0.118196, -0.12197285, -0.008273694, 0.024818229) * go_6(1.0, 1.0); result += mat4(0.011819537, 0.11353393, -0.086237915, -0.022234803, 0.055968612, 0.0615991, 0.025318988, 0.008080514, -0.0074833143, 0.03213514, 0.017596677, -0.04917979, -0.01020977, 0.029775353, 0.004897033, -0.10395338) * go_7(-1.0, -1.0); result += mat4(-0.0688038, 0.058822602, -0.10180778, 0.13479604, -0.16078031, 0.13976133, -0.0018446567, 0.053424157, 0.028315792, 0.08567457, -0.043963797, -0.075502805, 0.23958415, 0.028348215, 0.028450236, -0.09978715) * go_7(-1.0, 0.0); result += mat4(0.055084568, 0.0633926, 0.07513028, 0.067018405, 0.07824109, 0.037960775, 0.0943014, 0.04693916, -0.036844347, 0.019190654, -0.09051303, 0.08540987, -0.10541823, 0.059776157, -0.050921787, 0.044931833) * go_7(-1.0, 1.0); result += mat4(0.09222645, -0.0042043333, -0.03341929, 0.056271244, 0.07315851, 0.12040825, 0.04529911, -0.069902666, 0.03675086, -0.15167333, -0.0731015, 0.037529152, 0.07895808, 0.19516838, 0.12074145, 0.04428294) * go_7(0.0, -1.0); result += mat4(-0.22974864, -0.083703846, 0.007981983, 0.113407955, -0.005681401, -0.0725044, 0.08403406, -0.08046055, -0.06072271, -0.0036524318, 0.017676545, -0.019439736, -0.16989848, 0.05007473, 0.12076659, 0.03561606) * go_7(0.0, 0.0); result += mat4(0.25000554, 0.08706544, -0.06796797, -0.029297633, 0.030483002, -0.029405795, 0.03225599, 0.1273929, 0.057500437, 0.14282806, 0.1312532, 0.06736387, -0.051108856, -0.047272597, -0.083601035, 0.08707381) * go_7(0.0, 1.0); result += mat4(0.00104698, 0.052348208, -0.0038028702, -0.031462383, 0.16882937, 0.03287029, -0.052102886, 0.0616993, -0.13379374, -0.16625734, 0.030139674, -0.11211979, -0.06178343, 0.084902056, 0.027871864, -0.028810805) * go_7(1.0, -1.0); result += mat4(0.13843846, 0.16980068, -0.05281067, 0.107935965, 0.05919283, -0.0379272, 0.080057494, 0.12334194, 0.016972173, -0.067814775, 0.18925636, -0.007931023, 0.21753874, 0.016326033, 0.09708944, -0.027348526) * go_7(1.0, 0.0); result += mat4(-0.0652925, 0.080116995, -0.02714036, 0.023029007, 0.03694966, 0.014283271, 0.2425468, 0.0090831, -0.04629186, -0.09224253, 0.0074571487, 0.03976705, -0.12308334, -0.02258988, 0.02122909, -0.003723904) * go_7(1.0, 1.0); result += vec4(0.022695603, -0.0023082788, 0.028530424, -0.014318725); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x104 //!HOOK MAIN //!BIND conv2d_21_tf //!BIND conv2d_21_tf1 //!BIND conv2d_21_tf2 //!BIND conv2d_21_tf3 //!BIND conv2d_23_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!BIND conv2d_22_tf //!SAVE conv2d_24_tf //!WIDTH conv2d_21_tf.w //!HEIGHT conv2d_21_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_21_tf_tex(conv2d_21_tf_pos)), 0.0)) #define g_1 (max((conv2d_21_tf1_tex(conv2d_21_tf1_pos)), 0.0)) #define g_2 (max((conv2d_21_tf2_tex(conv2d_21_tf2_pos)), 0.0)) #define g_3 (max((conv2d_21_tf3_tex(conv2d_21_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_21_tf_tex(conv2d_21_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_21_tf1_tex(conv2d_21_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_21_tf2_tex(conv2d_21_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_21_tf3_tex(conv2d_21_tf3_pos)), 0.0)) #define g_8 (max((conv2d_23_tf_tex(conv2d_23_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_23_tf_tex(conv2d_23_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_24 (max((conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_25 (max(-(conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.058696087, -0.016692411, 0.25976986, 0.099469885, -0.09152728, -0.2148431, -0.08802325, -0.016499085, 0.13282052, 0.0980272, -0.1158862, 0.19684108, -0.11994136, -0.059662573, -0.016995221, -0.1027122) * g_0; result += mat4(-0.010595027, 0.06406856, 0.23653634, 0.16295283, 0.09336285, -0.027337749, 0.015952548, 0.0376953, 0.095897034, 0.30973884, -0.08175905, -0.22890201, 0.04396234, -0.13037258, -0.025949383, -0.06218012) * g_1; result += mat4(-0.07620231, -0.30194682, -0.076309256, 0.14013915, 0.07061645, 0.09126501, 0.1150165, -0.25510675, -0.029847346, 0.11263369, -0.02107326, -0.076345, -0.0836896, -0.10574222, 0.049557228, 0.18204224) * g_2; result += mat4(0.31275895, 0.2131336, -0.17616041, -0.1532927, -0.0800748, 0.14726815, 0.011492155, 0.102820344, 0.10141421, -0.014893769, -0.25251386, 0.041055515, -0.10404861, -0.00033553177, -0.19449559, 0.060588796) * g_3; result += mat4(0.16963251, -0.013009328, 0.09477736, -0.1371889, -0.057696134, -0.11377323, -0.009975633, 0.10865341, 0.018116307, -0.12912029, 0.00446529, -0.07526829, 0.21180825, 0.023429712, -0.15647651, 0.11771583) * g_4; result += mat4(-0.10107582, -0.06897041, 0.07265895, -0.13229463, -0.032618273, -0.1995065, -0.04359697, 0.010246897, 0.08059705, -0.056275643, -0.18562363, 0.076477356, -0.032394793, -0.022298874, 0.04084915, -0.08365395) * g_5; result += mat4(0.17930493, 0.05326699, -0.13416114, -0.20071405, 0.04909069, -0.11235366, -0.11290477, 0.054805405, -0.18932551, -0.23691942, 0.00930692, 0.055858135, -0.18744826, 0.124326915, -0.12145515, -0.05469838) * g_6; result += mat4(-0.083303414, 0.14274205, -0.17837334, -0.22321583, 0.024028191, -0.22178806, 0.003354423, -0.13398252, 0.11718759, -0.026552575, 0.104777284, -0.16523509, 0.26287836, 0.029216014, -0.04382982, -0.1816694) * g_7; result += mat4(0.36169127, 0.036328353, 0.38394243, -0.044287164, 0.026606947, -0.015364243, 0.040234428, -0.14585258, 0.023770748, 0.014420717, -0.18471159, 0.12606202, 0.071438275, 0.015476816, 0.11971924, -0.012690996) * g_8; result += mat4(-0.23509689, 0.0076271794, -0.5163756, 0.08395759, -0.18723673, 0.018408693, 0.08788511, 0.15232271, -0.36024943, -0.09240755, -0.30047625, -0.17155606, -0.06985937, 0.20842774, -0.22400227, -0.21664825) * g_9; result += mat4(-0.05239372, 0.11904273, -0.08821749, -0.04636995, -0.16663203, -0.11476132, 0.08088593, -0.03589705, -0.01017948, -0.048168585, 0.010544936, 0.13717537, 0.16119, -0.037817374, -0.0762783, 0.03526467) * g_10; result += mat4(-0.040259548, -0.14698508, 0.10502734, -0.105779156, 0.17744789, 0.05297252, 0.021307468, -0.21976848, -0.030510878, 0.09223678, -0.09474818, 0.2469629, 0.0013956686, 0.18587582, -0.04157682, 0.1704521) * g_11; result += mat4(0.07285109, -0.010645814, -0.07633459, 0.0998653, -0.034591697, -0.20350501, 0.10648686, 0.13691725, 0.042239573, -0.12919825, 0.08137461, -0.027513884, -0.0028005934, 0.03199354, -0.016124157, -0.058441218) * g_12; result += mat4(0.05280611, 0.11754696, -0.10911552, 0.316396, 0.15148664, -0.061536465, -0.102609016, 0.037154227, 0.15367137, -0.042577345, 0.06558037, 0.17360497, 0.20247519, -0.032606795, -0.10807613, 0.051761452) * g_13; result += mat4(0.0022353246, 0.11659671, -0.14492981, -0.20829871, 0.13133155, 0.12089799, 0.019354021, -0.2658604, 0.04921859, 0.22848538, 0.21938437, 0.16021933, -0.06768084, 0.134724, 0.047685273, 0.077655315) * g_14; result += mat4(0.019583335, -0.11596351, 0.20498835, 0.13917811, -0.028330192, -0.07062669, -0.19952956, 0.08023568, 0.0053012795, -0.10001755, 0.24791576, 0.014599471, 0.18118413, 0.027773563, -0.017590087, 0.037026614) * g_15; result += mat4(0.097719975, -0.035079796, 0.11477913, -0.13726783, 0.20932943, -0.10429427, 0.13141108, -0.19026637, -0.06115164, -0.23775233, 0.090050876, 0.031347554, 0.0350951, 0.052728195, -0.07699315, 0.24431244) * g_16; result += mat4(0.16608196, 0.20575161, -0.40825596, 0.24043176, 0.31130707, -0.046513405, 0.14605568, -0.1021257, 0.1593242, 0.32908028, -0.13133794, -0.08078372, -0.21714397, 0.054140713, 0.15257664, -0.09940761) * g_17; result += mat4(-0.1323459, -0.28875232, -0.01497331, 0.030733688, 0.12423061, 0.073697634, -0.2566797, 0.04460948, 0.2865253, -0.13094993, 0.06848032, -0.080888934, 0.09375976, -0.039186817, -0.26337674, -0.098654084) * g_18; result += mat4(-0.22869076, -0.06542219, 0.15441294, 0.053751558, -0.10786946, 0.21515097, -0.12272559, 0.113470495, -0.039961167, -0.05458959, 0.056336533, -0.16626738, -0.11003154, 0.16398644, 0.21803926, 0.14490128) * g_19; result += mat4(0.005704737, 0.050607253, -0.060669646, 0.02315674, 0.27544695, -0.05550004, -0.32093555, -0.027370991, -0.0070907134, 0.114890516, -0.037459094, 0.26141244, 0.3948764, 0.055632085, 0.12894577, 0.2616119) * g_20; result += mat4(-0.16639514, -0.17228165, 0.2578368, 0.18405698, -0.16141811, -0.19922118, 0.0774084, 0.22068399, -0.12284921, 0.10599979, 0.039710265, -0.027798124, -0.103033185, -0.04742161, -0.30192822, -0.08567758) * g_21; result += mat4(-0.0868937, -0.10361983, 0.023334388, 0.008042379, 0.26398548, 0.15074515, -0.052286822, -0.10586637, 0.07187348, 0.099190384, -0.1389896, -0.0019672879, -0.14919114, 0.016451705, -0.038644433, 0.04510475) * g_22; result += mat4(0.0478762, -0.0032748727, -0.15553872, 0.17001377, 0.010854262, -0.106533505, 0.4341412, 0.24823058, -0.19182336, 0.08669677, 0.030827353, 0.05449623, 0.020789523, 0.13378422, 0.04309073, 0.30953705) * g_23; result += mat4(-0.33780453, -0.15031691, -0.18126999, 0.023555402, 0.30662948, -0.013749685, 0.28102842, 0.008741284, -0.14455633, -0.18823312, 0.016984712, -0.261531, 0.33998242, 0.055556037, 0.07087725, -0.10207668) * g_24; result += mat4(0.25463784, 0.04663675, 0.24814023, -0.14536841, 0.1517421, 0.13530119, -0.12027553, -0.030012354, 0.15529017, 0.06190467, -0.042643487, -0.14222258, -0.036342848, -0.029681267, -0.0059485766, -0.006802466) * g_25; result += vec4(-0.07437017, -0.009831191, 0.0028422514, 0.015599199); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x104 //!HOOK MAIN //!BIND conv2d_21_tf //!BIND conv2d_21_tf1 //!BIND conv2d_21_tf2 //!BIND conv2d_21_tf3 //!BIND conv2d_23_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!BIND conv2d_22_tf //!SAVE conv2d_24_tf1 //!WIDTH conv2d_21_tf.w //!HEIGHT conv2d_21_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_21_tf_tex(conv2d_21_tf_pos)), 0.0)) #define g_1 (max((conv2d_21_tf1_tex(conv2d_21_tf1_pos)), 0.0)) #define g_2 (max((conv2d_21_tf2_tex(conv2d_21_tf2_pos)), 0.0)) #define g_3 (max((conv2d_21_tf3_tex(conv2d_21_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_21_tf_tex(conv2d_21_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_21_tf1_tex(conv2d_21_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_21_tf2_tex(conv2d_21_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_21_tf3_tex(conv2d_21_tf3_pos)), 0.0)) #define g_8 (max((conv2d_23_tf_tex(conv2d_23_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_23_tf_tex(conv2d_23_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_24 (max((conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_25 (max(-(conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.08979697, -0.10504161, 0.16022556, 0.11341658, 0.061358813, -0.11527514, 0.104621656, 0.17846957, -0.21971604, -0.08296368, 0.059561037, -0.030467503, -0.18203235, -0.00489335, -0.13960212, -0.1846774) * g_0; result += mat4(-0.021587428, 0.13345426, 0.002885677, -0.10446278, 0.17950022, 0.029065073, -0.32806116, 0.11106503, 0.041467514, -0.28959805, -0.033284128, 0.031551834, 0.006884119, 0.09131054, 0.02568901, -0.11571497) * g_1; result += mat4(-0.061347164, -0.019125437, -0.14035773, 0.17835122, -0.18599916, 0.006040366, -0.10548407, 0.16857028, -0.12821414, -0.257687, 0.083109885, 0.033304747, -0.03638158, 0.089094125, -0.2121359, -0.16846325) * g_2; result += mat4(-0.19272862, -0.040250458, -0.025220647, -0.0130254505, 0.16971767, -0.1262595, -0.17335917, -0.06738606, 0.25743198, -0.07245476, 0.034572147, 0.36634898, 0.06062579, -0.08718957, -0.03222726, -0.2564149) * g_3; result += mat4(-0.19240691, 0.12406588, 0.3184258, -0.34774688, 0.14093249, 0.03706444, -0.111542135, 0.26256654, -0.1875004, 0.049010817, -0.28910252, -0.07044059, -0.061912216, 0.0849468, 0.044482302, -0.09588286) * g_4; result += mat4(0.15970096, -0.0030905118, 0.28313154, 0.027417777, -0.1538593, 0.21207502, 0.13121693, -0.30331814, 0.121317744, 0.042900104, -0.022242952, 0.10603051, -0.029436313, -0.06481103, 0.1403121, -0.052515112) * g_5; result += mat4(0.08658267, 0.1741316, -0.18155402, -0.10258272, 0.032190584, 0.066993676, 0.1354344, 0.027893255, -0.017966608, 0.23040892, 0.030393174, -0.07598643, 0.13171883, 0.18465646, 0.067950405, -0.089663) * g_6; result += mat4(0.122048914, 0.11810184, -0.11860061, -0.26858392, -0.209042, -0.16273905, -0.055165585, -0.005811152, -0.18738034, 0.058543697, -0.039830476, -0.16113137, -0.091200404, 0.2339841, -0.021218592, 0.26669285) * g_7; result += mat4(-0.014585638, -0.0032463232, 0.17495912, -0.08503565, -0.19564098, 0.22158442, -0.1867278, 0.0042652315, 0.03968311, 0.28752264, -0.28998294, -0.0029852116, -0.23554218, 0.16868985, 0.08550133, -0.1574371) * g_8; result += mat4(0.49997026, -0.016691396, -0.18841855, 0.30310807, 0.100790545, 0.038233314, 0.1611522, 0.13933793, -0.22570881, 0.12208755, 0.23460633, 0.15977637, -0.03795079, -0.30355585, 0.0011402427, -0.07599262) * g_9; result += mat4(0.1040602, 0.087594695, -0.27393925, 0.0418618, 0.06769233, 0.10341748, 0.03344078, 0.14392397, 0.19013835, -0.003081719, -0.2819769, 0.025617521, 0.09402475, -0.015399136, 0.04733618, -0.044959366) * g_10; result += mat4(-0.060594074, 0.015600568, 0.16962534, -0.00081952167, 0.2690884, 0.04898387, 0.23332061, 0.094616964, -0.08526234, -0.07512189, 0.04900841, -0.18874052, 0.09941649, -0.040419415, -0.13692108, 0.16164334) * g_11; result += mat4(-0.053954955, 0.28258643, -0.07396885, -0.29855832, -0.05407898, 0.014401148, -0.054173157, -0.15637222, 0.272353, -0.02170652, -0.015834406, 0.08651297, -0.11185562, -0.19492313, -0.024557848, 0.10485409) * g_12; result += mat4(-0.08333046, -0.06798886, -0.11723233, 0.2928367, -0.029574843, 0.2017853, -0.26673993, 0.1334675, 0.017647222, 0.011599432, 0.2609211, 0.16404016, 0.16160911, -0.13806355, -0.0770869, -0.12961225) * g_13; result += mat4(-0.19316232, 0.15813714, -0.077418946, -0.20926195, -0.16160491, -0.11846783, -0.026574116, 0.061050467, -0.18681675, -0.062164336, -0.18367381, 0.00018551799, 0.031343188, 0.2299072, -0.118061095, 0.2129531) * g_14; result += mat4(-0.002469605, -0.042093765, -0.10694342, 0.42083347, 0.0670906, 0.30298585, 0.09004686, -0.23083562, 0.14870504, 0.17281657, -0.20583957, 0.010098754, -0.033128325, -0.111837484, 0.14905591, -0.15318894) * g_15; result += mat4(0.036136966, 0.018714666, 0.04639626, -0.19534552, -0.10005012, -0.0117230825, -0.21940173, 0.04220659, -0.0032740128, 0.059329886, 0.14921357, -0.056334518, -0.15263896, -0.16852587, -0.044578124, 0.2628712) * g_16; result += mat4(0.100949906, 0.004228454, 0.06405682, -0.06885952, 0.24312544, -0.33124098, -0.24260363, 0.0024199567, 0.1508378, 0.086369656, -0.08181863, -0.4503699, 0.17878622, 0.11472353, 0.16728742, -0.13093603) * g_17; result += mat4(-0.06985756, -0.0019436302, 0.015692828, -0.013669101, -0.20771547, 0.067934655, 0.06843243, -0.09379625, -0.043609153, -0.0037825725, -0.10029127, -0.1315925, -0.079464234, -0.08471481, 0.07953321, -0.07559369) * g_18; result += mat4(0.09396738, -0.08508011, -0.15136994, -0.05033154, -0.13346456, 0.07239574, -0.14461002, 0.03597791, -0.064514555, 0.06253932, -0.17408507, 0.037559777, -0.15963385, 0.08210336, -0.24775903, -0.01580598) * g_19; result += mat4(0.084354095, 0.18890528, 0.07061357, 0.23486592, -0.15324847, 0.18526913, -0.34279072, -0.37405473, -0.09294527, 0.010385339, 0.19220817, -0.04336903, -0.38940063, 0.076640904, 0.17280221, -0.09818483) * g_20; result += mat4(0.038739417, -0.07602283, 0.003676506, -0.22913142, -0.08044049, -0.19263157, -0.18030334, 0.09494168, 0.156977, -0.27044684, -0.031590268, 0.20470932, 0.28102174, 0.16872606, -0.11217233, 0.24780095) * g_21; result += mat4(0.06689687, 0.08853936, 0.09184726, 0.22699554, -0.14092675, -0.02688781, 0.2646647, 0.026377598, 0.12483503, -0.06999643, 0.04486326, -0.0897168, -0.022117272, 0.14900659, -0.26331872, 0.104682565) * g_22; result += mat4(0.065322906, -0.11183809, -0.17946585, -0.20076565, 0.009464183, -0.123363525, -0.07686269, 0.083753645, -0.062136367, 0.17842509, 0.17349558, -0.10999101, -0.036272816, -0.016200582, 0.10451098, 0.19585742) * g_23; result += mat4(-0.19023383, 0.26640254, 0.26287216, 0.055038862, -0.3129526, -0.022839354, 0.009630041, 0.08733156, -0.2612418, -0.19251396, 0.058636077, -0.3330285, -0.078063555, -0.27609676, -0.020230204, -0.18260407) * g_24; result += mat4(0.14539486, -0.21613313, -0.3492072, -0.20886984, 0.25280094, 0.01690657, 0.117284745, -0.14519997, -0.5187426, -0.14994088, 0.18306793, -0.0025114815, 0.022995003, 0.11710601, -0.05377852, 0.11480645) * g_25; result += vec4(-0.0247107, 0.005474094, -0.09375405, -0.020514423); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x104 //!HOOK MAIN //!BIND conv2d_21_tf //!BIND conv2d_21_tf1 //!BIND conv2d_21_tf2 //!BIND conv2d_21_tf3 //!BIND conv2d_23_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!BIND conv2d_22_tf //!SAVE conv2d_24_tf2 //!WIDTH conv2d_21_tf.w //!HEIGHT conv2d_21_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_21_tf_tex(conv2d_21_tf_pos)), 0.0)) #define g_1 (max((conv2d_21_tf1_tex(conv2d_21_tf1_pos)), 0.0)) #define g_2 (max((conv2d_21_tf2_tex(conv2d_21_tf2_pos)), 0.0)) #define g_3 (max((conv2d_21_tf3_tex(conv2d_21_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_21_tf_tex(conv2d_21_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_21_tf1_tex(conv2d_21_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_21_tf2_tex(conv2d_21_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_21_tf3_tex(conv2d_21_tf3_pos)), 0.0)) #define g_8 (max((conv2d_23_tf_tex(conv2d_23_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_23_tf_tex(conv2d_23_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_24 (max((conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_25 (max(-(conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.14804654, -0.14173095, 0.16659345, -0.009385182, -0.020287529, -0.09633324, -0.30860174, 0.063476086, 0.01976211, -0.23352058, 0.09209867, 0.16206749, 0.08077074, -0.10959624, -0.12718476, 0.17011921) * g_0; result += mat4(-0.3140556, 0.12636565, 0.012903826, -0.08176523, 0.14805675, 0.23573041, 0.22436617, -0.04828265, 0.13404454, -0.016488977, 0.30504864, -0.0019838111, 0.14962101, -0.00575774, 0.19882312, 0.22259174) * g_1; result += mat4(0.16593869, 0.05078502, -0.12377358, 0.28647205, -0.10124151, 0.15258715, 0.027155356, -0.015847337, -0.054100014, 0.13954991, -0.095538475, -0.024002708, -0.12028006, 0.058690242, -0.32992294, -0.11747722) * g_2; result += mat4(0.18058912, 0.013726746, 0.14127955, 0.14231133, -0.08689764, -0.092697755, 0.17092462, -0.039948042, 0.1217311, -0.12693831, -0.19433555, -0.10920207, -0.07334007, 0.025639182, 0.032232128, 0.10318817) * g_3; result += mat4(-0.012409655, 0.055781372, -0.19240658, -0.23877834, -0.0960606, 0.17469998, -0.022961274, 0.063891776, 0.027615886, 0.067367285, -0.25862217, -0.29574084, -0.028999899, 0.17343716, -0.24148487, 0.1229659) * g_4; result += mat4(0.12804163, -0.23425618, -0.33593133, -0.040897377, 0.11306302, 0.065293916, -0.05870299, -0.15702757, -0.20557828, 0.037325155, -0.21109815, 0.05123402, -0.23969208, 0.053520784, -0.27755785, -0.11555018) * g_5; result += mat4(-0.13524376, -0.31770554, 0.0842197, 0.08805993, -0.07403083, -0.087194294, 0.012449786, 0.14015238, -0.09606474, -0.04868743, -0.011370155, 0.005927663, 0.028680688, -0.1429374, 0.27102706, 0.11689099) * g_6; result += mat4(0.15883644, 0.09540351, 0.10983531, -0.047686223, -0.026774509, 0.08621119, -0.06392311, -0.02266724, 0.20034596, -0.013704803, 0.28371832, 0.19092667, 0.10529074, -0.12145345, -0.10676546, -0.02673637) * g_7; result += mat4(0.0096095605, 0.03329556, 0.09830959, 0.1595078, -0.18308333, 0.14192823, -0.048857637, -0.06888825, 0.18871805, -0.061875697, -0.13133556, -0.17831984, -0.028223597, -0.16346388, 0.16018315, -0.006383535) * g_8; result += mat4(0.26071513, 0.09806688, -0.34068507, -0.3768804, 0.011374573, -0.2450996, 0.104056686, -0.20815447, -0.3442328, 0.35717773, -0.18200488, 0.21185465, 0.30605116, 0.17752215, 0.26911554, 0.101427086) * g_9; result += mat4(-0.041318867, 0.1009111, 0.2157564, -0.088500485, 0.07373474, -0.25785303, -0.004410731, -0.14463747, -0.1358761, 0.023295294, 0.113840915, 0.4273329, 0.05128152, 0.14215858, 0.19876923, -0.019440446) * g_10; result += mat4(-0.23231222, -0.14272551, 0.09846874, -0.06775076, 0.0059967814, 0.062043674, -0.2065345, -0.12056687, -0.024301382, -0.34733498, -0.2054398, -0.08064672, 0.118986174, -0.05259333, 0.09134329, 0.0941969) * g_11; result += mat4(-0.15081125, -0.03763831, -0.077403225, -0.014139531, 0.1599335, 0.043187547, -0.20010144, -0.12097138, 0.09763305, 0.103107266, 0.01814798, -0.11254244, -0.17597707, -0.05016406, -0.27989724, -0.031772614) * g_12; result += mat4(0.054545857, 0.03135118, 0.08629934, -0.12681678, -0.049472764, 0.13161416, 0.06408171, 0.09543149, 0.14036587, 0.10973382, 0.095143825, -0.18786812, -0.04433381, 0.04301664, 0.3060177, 0.18051994) * g_13; result += mat4(0.017087614, -0.09423588, 0.046461068, 0.0127245085, 0.16147164, 0.24400745, 0.08311569, 0.137946, -0.020603297, 0.26379335, -0.09492048, 0.16765113, 0.15279007, -0.111419536, -0.06080683, -0.10723545) * g_14; result += mat4(0.19078189, 0.050451245, 0.075727284, -0.007865759, -0.10067247, -0.32282433, -0.08889799, 0.025485834, -0.19373515, -0.22204797, -0.08299226, -0.28381655, -0.14620808, 0.08457609, -0.15491463, -0.07288427) * g_15; result += mat4(0.11656609, -0.14487429, -0.4425259, 0.021374635, 0.06596484, -0.12771748, -0.22535199, 0.028234273, 0.11496608, 0.019801984, -0.04632526, 0.20007893, 0.040895678, 0.083485365, 0.14834464, 0.08356117) * g_16; result += mat4(0.02211244, 0.08450315, 0.024438182, -0.0043306663, -0.1586669, 0.024556836, -0.0056188432, 0.19931546, -0.15735053, -0.16440377, -0.10889861, 0.06196059, 0.022048898, -0.037491623, -0.34702402, 0.20129041) * g_17; result += mat4(-0.33401018, -0.014858959, -0.08085903, -0.0008211832, 0.14658095, 0.028263792, 0.27077958, 0.0016592528, -0.025635215, 0.055104904, 0.22146593, 0.18182918, -0.06691726, -0.039572526, 0.14165977, -0.23499596) * g_18; result += mat4(-0.013547897, -0.025930658, 0.027264774, -0.1256101, -0.051624347, 0.33928105, -0.04096477, -0.04092852, 0.061986156, 0.07382448, -0.41080087, -0.093699835, -0.217555, -0.5191564, -0.30832314, 0.05686793) * g_19; result += mat4(-0.12603499, 0.011196643, -0.10582392, 0.120446354, 0.044026893, 0.26011583, -0.018695889, -0.12168744, -0.032591492, 0.0948056, -0.0015739531, 0.2480614, 0.16675782, 0.26526824, 0.34634092, 0.12777542) * g_20; result += mat4(0.09301084, -0.10419714, 0.06912984, -0.17989379, -0.15554993, 0.12535709, -0.017463861, -0.17737497, -0.008574159, 0.05409429, 0.14558169, -0.22812454, 0.03895372, 0.1275974, 0.22765099, 0.057943035) * g_21; result += mat4(-0.24794875, 0.10049649, 0.028166026, -0.23643738, -0.14107783, -0.010134537, -0.0795233, 0.04698603, 0.11822467, 0.21065955, 0.2251092, -0.19143367, -0.035236355, -0.13354316, 0.07519012, -0.003378642) * g_22; result += mat4(-0.08100237, -0.016064119, -0.17029656, 0.13301337, -0.44654125, 0.20930994, 0.053686365, 0.20886885, 0.008915734, 0.08018005, -0.14843301, -0.1306173, -0.28592983, 0.051150486, -0.098725766, -0.068406634) * g_23; result += mat4(-0.16141048, -0.18943654, -0.04775461, 0.08474171, -0.11267106, 0.035240255, -0.12966546, -0.0010696419, -0.0058098137, 0.13086191, -0.2514126, -0.1916487, 0.19768499, 0.046074815, 0.3501277, 0.07461552) * g_24; result += mat4(-0.03546506, -0.00097176316, -0.174551, -0.11048581, 0.17106281, 0.01978063, 0.19416088, 0.1295629, 0.28066772, 0.09117813, 0.3837941, 0.1571746, -0.21350138, -0.16293706, 0.01890914, -0.120004654) * g_25; result += vec4(0.0056376588, -0.032156657, 0.017695736, 0.04698144); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x104 //!HOOK MAIN //!BIND conv2d_21_tf //!BIND conv2d_21_tf1 //!BIND conv2d_21_tf2 //!BIND conv2d_21_tf3 //!BIND conv2d_23_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!BIND conv2d_22_tf //!SAVE conv2d_24_tf3 //!WIDTH conv2d_21_tf.w //!HEIGHT conv2d_21_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_21_tf_tex(conv2d_21_tf_pos)), 0.0)) #define g_1 (max((conv2d_21_tf1_tex(conv2d_21_tf1_pos)), 0.0)) #define g_2 (max((conv2d_21_tf2_tex(conv2d_21_tf2_pos)), 0.0)) #define g_3 (max((conv2d_21_tf3_tex(conv2d_21_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_21_tf_tex(conv2d_21_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_21_tf1_tex(conv2d_21_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_21_tf2_tex(conv2d_21_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_21_tf3_tex(conv2d_21_tf3_pos)), 0.0)) #define g_8 (max((conv2d_23_tf_tex(conv2d_23_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_23_tf_tex(conv2d_23_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_24 (max((conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_25 (max(-(conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.30036786, -0.071122974, -0.207808, -0.104709424, -0.30407256, -0.095840186, -0.1369558, 0.37065065, 0.21078417, -0.13468549, -0.10461771, -0.06559755, -0.17034003, 0.05641996, -0.27700323, -0.1126542) * g_0; result += mat4(0.07799722, -0.0022081465, 0.14035574, 0.11457114, -0.09680132, 0.023358248, 0.14260097, 0.06518944, -0.050158285, 0.039226543, -0.22615871, 0.022831999, -0.08471979, 0.30239135, -0.09285331, -0.18434998) * g_1; result += mat4(-0.014649615, 0.070524774, -0.17721784, -0.14220548, 0.08645409, -0.09074901, 0.04698468, 0.053715184, 0.06270154, -0.075639635, 0.099860035, -0.090023175, 0.36329654, -0.22055952, 0.010457819, 0.07253135) * g_2; result += mat4(-0.027649708, 0.38244903, -0.10621971, 0.2275538, -0.05934175, -0.0010945094, -0.041326273, 0.035898875, 0.03707596, 0.056224752, 0.056418143, 0.07318794, -0.11713561, 0.27461806, -0.14259866, 0.21453623) * g_3; result += mat4(0.08535502, 0.29779312, 0.009322038, 0.033960924, 0.23723385, 0.10624898, 0.18388863, -0.1633756, -0.0005816555, 0.11368908, 0.16717602, 0.11334834, -0.05806499, -0.065826096, 0.19527037, 0.31419072) * g_4; result += mat4(-0.1170813, 0.055507258, 0.036362253, 0.13286461, 0.026856778, 0.063697964, -0.024295578, -0.054315507, -0.19848196, 0.01567515, 0.14405379, 0.13924678, -0.047252674, -0.16682114, -0.04054276, -0.013275098) * g_5; result += mat4(0.036398828, -0.10294437, 0.031097291, -0.23271134, 0.14264303, -0.08633302, 0.12239915, 0.018420607, -0.09747599, -0.071311615, -0.046238452, -0.17322837, 0.040957235, -0.26349834, -0.21181144, -0.05238187) * g_6; result += mat4(-0.27340204, -0.080384396, -0.07198998, -0.05323366, 0.14557876, 0.019228118, -0.22286792, 0.20184729, -0.06020158, -0.07255352, -0.11773837, 0.15114646, 0.1300954, -0.12685491, 0.017485369, -0.14980994) * g_7; result += mat4(-0.0071375193, -0.24509165, 0.047664706, -0.06106591, -0.1671985, 0.19413634, -0.042350926, 0.03802284, 0.07089803, -0.23365532, 0.18229541, 0.042384386, -0.055314403, 0.25988257, -0.12660997, -0.0090976395) * g_8; result += mat4(0.3142646, 0.3923734, 0.17459705, 0.29964787, 0.043381196, -0.21502787, -0.077350974, 0.064285494, 0.2858196, 0.03305409, 0.042962402, 0.19540143, 0.13053122, -0.08383207, -0.12208418, 0.1985712) * g_9; result += mat4(0.039936565, -0.0480129, 0.045163006, -0.0016258726, -0.06560048, -0.1440137, 0.073342375, -0.16961938, 0.05413496, -0.1767555, 0.32295126, 0.1549113, -0.03689245, -0.060345363, 0.10861416, 0.051116258) * g_10; result += mat4(0.04611299, -0.07580715, 0.2404435, -0.02150482, -0.07586656, -0.10504455, 0.0837787, 0.14586666, -0.08992915, -0.011791581, -0.18516701, 0.18664369, -0.08699046, 0.23641954, 0.1359928, -0.008187404) * g_11; result += mat4(-0.09519243, -0.1259728, -0.1609327, 0.0042067054, -0.022335263, -0.089343786, 0.02145024, -0.22889718, -0.082472935, 0.06351865, 0.19912359, -0.041878484, 0.03906691, -0.009029629, -0.095140696, -0.0047787162) * g_12; result += mat4(0.2018249, 0.060700044, 0.17174731, -0.020011077, 0.08717426, 0.19148429, 0.06265732, -0.070558965, 0.15527514, 0.1371965, 0.04782656, -0.057176862, 0.005966481, -0.078806885, -0.09565087, -0.08971814) * g_13; result += mat4(0.060476594, 0.1829843, -0.14988089, 0.097976886, 0.13092533, 0.16842246, 0.148756, 0.041732185, -0.09868615, -0.05051786, -0.17886515, -0.47046304, -0.0027662877, -0.24125081, -0.20464475, 0.18860999) * g_14; result += mat4(-0.12249708, -0.23579642, 0.10373326, -0.11471274, -0.113536574, 0.21705507, -0.020286752, 0.14155044, 0.11744049, -0.10634323, -0.0992358, 0.29779306, 0.009242147, 0.082793355, -0.29470173, 0.09098504) * g_15; result += mat4(-0.37456152, 0.27716953, 0.066162, -0.08820556, 0.01543293, 0.1646333, -0.029137572, -0.025982376, 0.0329685, -0.12119456, -0.06776284, 0.05002431, 0.18109421, 0.19071397, 0.031709924, 0.115208045) * g_16; result += mat4(0.1638029, 0.07643556, 0.09049366, -0.10921795, 0.03733727, -0.15501708, 0.28316185, -0.098067865, -0.11070625, -0.009504683, 0.2291032, -0.13025075, -0.027869487, 0.011681814, -0.13047922, -0.015909566) * g_17; result += mat4(0.1461215, 0.0023516659, 0.15640813, -0.015727978, -0.018806554, 0.017339358, -0.035492163, 0.08160196, 0.10238898, 0.16611558, 0.09202315, -0.10608295, 0.18774536, -0.0316489, 0.27076882, 0.20529412) * g_18; result += mat4(0.17409241, -0.1274282, 0.16840927, -0.11176582, 0.09690932, -0.060094807, -0.13033284, -0.024426423, -0.029923867, 0.34295294, -0.10374731, 0.036210388, -0.21488675, -0.048156295, -0.009829659, -0.32526785) * g_19; result += mat4(0.04754761, 0.0104225315, -0.14926155, -0.12426483, -0.18664256, 0.089919254, -0.07276312, -0.34654847, 0.08682614, 0.054667328, -0.096311085, 0.28998274, 0.2721617, -0.08974601, -0.078995354, 0.01578445) * g_20; result += mat4(-0.16916896, 0.38615093, 0.006609843, -0.13223584, -0.091017894, -0.18239939, 0.010400899, 0.13135849, -0.056513984, -0.1355764, 0.050879743, -0.04195772, -0.041539118, -0.09790294, -0.23622996, -0.1903508) * g_21; result += mat4(0.09427743, 0.3532207, -0.07493266, -0.018535644, 0.08661698, 0.36009344, -0.05961479, -0.13691968, 0.0118486015, -0.116584554, -0.08686342, 0.27281806, -0.041298125, -0.07257819, -0.11279752, 0.0034089864) * g_22; result += mat4(-0.07194181, -0.087237455, 0.13797516, -0.14510183, -0.043742094, -0.060987025, 0.07932815, -0.03253621, 0.13781914, 0.056654815, -0.077196084, 0.24276413, 0.04511319, -0.051754497, 0.2584921, -0.18890971) * g_23; result += mat4(-0.14871578, -0.1849769, -0.08268788, 0.26459882, -0.26126868, -0.23579857, 0.083229534, 0.028019072, -0.25955105, 0.20885234, -0.00086575525, -0.1324121, -0.2294164, 0.17757727, 0.021580774, -0.112975426) * g_24; result += mat4(0.16707626, -0.19732544, 0.12970364, -0.09347803, -0.002893719, 0.1150841, 0.055206075, -0.039382495, -0.32302466, 0.14221917, -0.32339764, 0.128217, 0.05848064, -0.08679818, 0.24213648, -0.32777923) * g_25; result += vec4(0.08522166, -0.04316711, -0.03290581, 0.024280401); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_24_tf //!BIND conv2d_24_tf1 //!BIND conv2d_24_tf2 //!BIND conv2d_24_tf3 //!SAVE conv2d_26_tf //!WIDTH conv2d_24_tf.w //!HEIGHT conv2d_24_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_24_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_24_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_24_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_24_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_24_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_24_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_24_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_24_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.049996123, 0.0037753412, 0.11171327, -0.0016941491, -0.1351308, -0.016908316, -0.12008028, 0.017934604, -0.23576798, -0.11245693, 0.034623243, -0.0077824593, -0.022798758, -0.0918046, 0.056376494, -0.0852944) * go_0(-1.0, -1.0); result += mat4(-0.042078406, 0.0462532, 0.08618077, -0.062988676, -0.10412657, -0.16068575, 0.13098615, 0.10488363, 0.08369774, -0.24014251, -0.14288054, 0.0051115025, -0.05098201, 0.017541911, -0.091969706, 0.16348839) * go_0(-1.0, 0.0); result += mat4(-0.09863232, 0.029172298, 0.026279978, -0.022673227, -0.16237566, 0.047186557, -0.060442433, -0.06543596, 0.010651123, 0.12078345, 0.03988309, -0.033051215, -0.017623032, -0.06467215, -0.077499196, -0.03731227) * go_0(-1.0, 1.0); result += mat4(-0.09789975, -0.047156874, 0.072275974, 0.047810175, 0.073351204, 0.06080882, -0.0504122, 0.13416192, -0.18719782, -0.017421518, -0.11500351, 0.01438864, -0.23725358, 0.030091772, -0.011555881, -0.0154520385) * go_0(0.0, -1.0); result += mat4(0.04009626, 0.048118807, 0.21038243, 0.113579415, 0.033564728, 0.05715816, 0.047044903, 0.03826532, 0.34928158, -0.16727263, 0.044896193, -0.024076954, -0.06169953, 0.08324518, -0.020400964, 0.25609145) * go_0(0.0, 0.0); result += mat4(0.049426913, -0.001589606, 0.110197626, -0.06417527, 0.09816545, 0.069022655, 0.16802368, -0.26492468, -0.2997054, 0.1730611, 0.08062505, -0.29634264, 0.028226377, -0.043611016, -0.021552337, 0.015026776) * go_0(0.0, 1.0); result += mat4(0.009664828, 0.08417966, 0.004710294, 0.04512053, -0.13796063, -0.060436867, 0.09477305, 0.010681176, 0.16369082, 0.037771117, -0.058654513, -0.05779409, 0.062837936, 0.13762808, -0.04270398, -0.039693095) * go_0(1.0, -1.0); result += mat4(-0.04035726, -0.010018175, -0.09761488, 0.027615858, -0.2932504, 0.09595783, -0.010247939, 0.12914088, 0.074954934, -0.011250316, 0.032818932, -0.00031655945, 0.081004985, -0.25975922, 0.056567695, 0.029617848) * go_0(1.0, 0.0); result += mat4(-0.030925142, 0.031268507, 0.05157384, -0.0683142, 0.012790967, -0.11101493, -0.096448496, -0.12191588, -0.05342701, -0.02193862, -0.10491984, -0.17005852, -0.019083334, -0.029902916, -0.029932162, -0.010883176) * go_0(1.0, 1.0); result += mat4(-0.26272961, 0.01767313, 0.06840876, 0.06170754, 0.1533715, -0.020870112, 0.0013619983, 0.0063628047, 0.09512795, 0.025705237, 0.02292517, -0.09680705, 0.104165204, -0.005150637, 0.0022620503, 0.09077463) * go_1(-1.0, -1.0); result += mat4(-0.025987439, -0.19362138, -0.11827701, -0.018033052, -0.26102337, 0.039745867, 0.08610472, 0.04178091, -0.10764665, 0.15902124, 0.09529151, -0.072073966, 0.0018068781, -0.026315978, -0.059285972, 0.061353054) * go_1(-1.0, 0.0); result += mat4(-0.0072087953, -0.0067746546, -0.0055090594, -0.116089255, -0.0873754, -0.08443256, 0.09423432, 0.19206242, -0.19481196, -0.15465075, -0.056957036, -0.17236751, -0.064828545, -0.03765398, -0.16945066, -0.113355085) * go_1(-1.0, 1.0); result += mat4(-0.020777022, -0.072951205, -0.080634475, -0.1378647, 0.10280296, 0.053700496, 0.066589236, 0.1102195, -0.20923318, 0.026585942, -0.013111635, -0.1566555, -0.024707625, -0.09647037, -0.005488745, 0.16878474) * go_1(0.0, -1.0); result += mat4(-0.062108953, 0.021457171, -0.045547433, 0.27534878, -0.06961026, -0.1425844, 0.14612147, -0.1702906, 0.09655159, -0.06720136, 0.07645141, -0.32483426, 0.09822643, 0.053977653, -0.099859774, -0.018033037) * go_1(0.0, 0.0); result += mat4(-0.007518181, 0.13359818, 0.019200008, -0.16734038, -0.033155162, -0.05867036, -0.027736064, 0.197113, 0.0062093004, -0.17742164, -0.0635093, 0.09135054, -0.1209542, -0.17591074, -0.07173482, 0.09463842) * go_1(0.0, 1.0); result += mat4(-0.04660764, 0.14158598, 0.14268021, -0.17546305, 0.01901027, -0.08463638, -0.063629396, 0.030421035, -0.04432895, -0.20540111, 0.06508335, 0.051438946, 0.022434311, -0.01823333, -0.08936261, 0.06426393) * go_1(1.0, -1.0); result += mat4(0.0051359776, 0.018973099, 0.2238723, -0.18587618, -0.00510518, 0.06860208, 0.07696437, 0.028153861, 0.021377275, -0.13327916, -0.12229337, -0.01568766, 0.08603219, -0.047903024, 0.11680101, 0.172795) * go_1(1.0, 0.0); result += mat4(0.06491684, -0.060000338, 0.09330306, 0.19461864, 0.10152871, -0.068190135, -0.030164903, 0.10963834, -0.01928389, 0.048917733, -0.0380595, -0.11373895, 0.002784637, 0.058341455, -0.0026584743, -0.0762352) * go_1(1.0, 1.0); result += mat4(-0.09245614, 0.0641394, -0.18305469, -0.0730851, -0.071057, 0.0020725452, 0.018236259, -0.06736057, -0.01118046, 0.13788253, 0.0896462, -0.06998457, -0.14505054, 0.010082331, 0.117200814, 0.023379482) * go_2(-1.0, -1.0); result += mat4(0.089422286, 0.15383133, 0.05149837, -0.10887509, -0.14912845, 0.08700931, -0.054692674, 0.23796107, 0.13581987, 0.19063862, 0.06559309, -0.15962636, -0.09233621, 0.11181162, -0.0015238862, 0.037107922) * go_2(-1.0, 0.0); result += mat4(-0.021216678, -0.094254285, 0.29714686, 0.05219242, -0.027367583, -0.15251665, -0.04881514, 0.10566541, -0.003742375, 0.1147835, -0.059377294, 0.024101444, 0.024573704, -0.01376458, 0.0639237, 0.023464274) * go_2(-1.0, 1.0); result += mat4(-0.049974762, -0.049812213, -0.035952687, -0.07975192, -0.08733934, 0.012935061, 0.012323808, 0.029132953, -0.14012371, 0.014503546, 0.052271955, -0.08048593, -0.09670192, -0.18596803, 0.0049014534, -0.09166179) * go_2(0.0, -1.0); result += mat4(-0.27029538, 0.042448614, -0.053546436, 0.33587694, -0.20740207, 0.08650326, -0.038407993, 0.055218965, -0.19328457, 0.26444808, 0.22763552, 0.14387757, -0.0064182575, 0.004315346, -0.05027504, 0.047247253) * go_2(0.0, 0.0); result += mat4(-0.09378854, 0.096082434, -0.32475194, -0.14516386, -0.15642658, 0.087580256, -0.11695209, 0.14140406, -0.0042407443, 0.15604375, -0.06349372, 0.0332518, -0.09077285, 0.046341777, 0.17729867, 0.005213613) * go_2(0.0, 1.0); result += mat4(-0.012175335, -0.080210514, 0.07186392, -0.1292191, -0.045594472, 0.033180896, -0.07882467, -0.016369384, -0.036098067, 0.056173183, 0.014134484, -0.09635483, -0.035036422, 0.012295909, -0.050570995, -0.05071762) * go_2(1.0, -1.0); result += mat4(-0.07852296, -0.14363602, -0.2696814, -0.23140208, 0.042432543, 0.054118577, 0.13079426, 0.03238616, -0.0062199365, 0.10364143, 0.04025807, -0.18294595, -0.048541483, 0.034473073, -0.05157432, -0.03064744) * go_2(1.0, 0.0); result += mat4(-0.15802932, -0.088301614, -0.06327623, -0.022001514, 0.12399852, -0.07752806, 0.18474507, 0.08271792, 0.042802274, 0.121084385, 0.04016158, 0.05801103, 0.15243745, -0.073706076, 0.03247726, -0.034610372) * go_2(1.0, 1.0); result += mat4(-0.05754932, -0.0020197632, 0.034547523, -0.025767442, -0.111764796, 0.038152024, 0.12944956, 0.11468247, 0.11521247, -0.003172288, -0.23100266, 0.02682523, -0.18987718, -0.0988275, -0.094731934, -0.06886259) * go_3(-1.0, -1.0); result += mat4(0.046419594, -0.03488053, -0.13166444, 0.13768785, -0.055520106, 0.06297019, 0.03289763, -0.1422938, 0.013001728, -0.055476565, -0.07185674, 0.03252722, -0.110465586, -0.10045119, -0.1742974, -0.15100808) * go_3(-1.0, 0.0); result += mat4(-0.06659215, -0.075389504, 0.09807181, 0.022330878, -0.0036238579, 0.019668387, -0.019465934, 0.13867833, 0.08627316, -0.06437524, -0.009247871, -0.032775283, 0.031162275, -0.026913468, -0.07854525, -0.064275324) * go_3(-1.0, 1.0); result += mat4(0.12929969, -0.045845002, 0.122178055, -0.13765322, -0.19315575, 0.10609295, -0.012858124, -0.15138301, 0.00092421344, -0.041272737, -0.04020661, -0.014201774, 0.023153054, -0.06892587, 0.043151032, -0.082591) * go_3(0.0, -1.0); result += mat4(-0.1226463, 0.211287, 0.03002057, -0.12333966, -0.037128195, -0.0011678269, -0.0112583, -0.07352756, 0.08004182, 0.057965674, 0.042791445, 0.10084061, 0.04225309, -0.09865515, -0.17249815, -0.07437297) * go_3(0.0, 0.0); result += mat4(0.076025665, 0.0884713, -0.012066989, -0.04832003, -0.04311184, 0.1053544, -0.20367248, 0.08647993, -0.06955368, 0.019550918, 0.041123573, -0.06755614, -0.04080657, -0.14335045, -0.11712864, 0.04404486) * go_3(0.0, 1.0); result += mat4(0.04159164, -0.013054755, -0.0261333, -0.043317586, -0.16425997, 0.05767708, 0.093282826, 0.0033548665, 0.034810144, -0.16199782, -0.025566405, 0.0516256, 0.020652568, -0.032220475, 0.0878692, -0.0143376775) * go_3(1.0, -1.0); result += mat4(0.10917642, 0.0011713499, 0.13042162, -0.020391129, -0.11013089, 0.112322845, 0.022569528, 0.028208349, 0.015053207, 0.1384224, 0.008139977, -0.080396585, 0.054056194, -0.028001389, 0.16363065, -0.102354065) * go_3(1.0, 0.0); result += mat4(-0.027124068, 0.04431464, 0.06277966, -0.08408734, 0.1083615, -0.019139031, 0.13385373, 0.025223026, 0.069449954, -0.05996897, -0.08913539, 0.1719072, -0.18314564, -0.048200965, -0.05904288, 0.11065826) * go_3(1.0, 1.0); result += mat4(0.1397537, 0.03482875, 0.061085895, -0.08213235, -0.038013548, 0.061775763, -0.07958989, -0.039170112, -0.007997508, 0.06363233, -0.026046399, 0.02864031, 0.049783155, 0.035203036, -0.066736884, -0.017477863) * go_4(-1.0, -1.0); result += mat4(-0.13101329, -0.014451878, 0.18087699, 0.026420632, 0.02715405, 0.06287757, 0.09282424, 0.013717241, 0.15051068, 0.025210602, -0.1362185, 0.072512046, -0.026805447, -0.096076004, 0.075359784, -0.045371193) * go_4(-1.0, 0.0); result += mat4(0.1997753, -0.025229402, -0.039842017, 0.049906187, 0.10946157, 0.034437146, 0.035051424, -0.116872676, -0.06527813, -0.022518009, -0.14611305, -0.2363843, 0.11086234, 0.11092388, 0.0953025, 0.047432534) * go_4(-1.0, 1.0); result += mat4(-0.01308655, 0.002540069, 0.23979092, -0.086312465, -0.14689597, -0.10581318, 0.11525941, 0.1074078, 0.058305763, -0.0064075887, -0.04057873, -0.023644514, -0.008381011, 0.0006571176, -0.019561158, -0.15267508) * go_4(0.0, -1.0); result += mat4(0.2349703, -0.050462563, -0.27430457, -0.14544865, 0.08886931, 0.016504053, -0.08630487, -0.020683536, 0.053667102, 0.09910953, -0.1255947, 0.05151626, -0.16611509, 0.037771612, 0.07399012, -0.056021243) * go_4(0.0, 0.0); result += mat4(0.06864889, -0.11083473, 0.24705935, 0.10628464, -0.010429532, 0.14889455, -0.0096547585, 0.14353086, -0.09100641, 0.06815184, -0.028219754, -0.06055696, -0.030299123, 0.0070648026, -0.055636737, -0.083413064) * go_4(0.0, 1.0); result += mat4(0.13953334, -0.10674898, -0.005621589, -0.118598536, 0.06328699, 0.08004188, -0.06477687, -0.094944336, -0.14355539, 0.029985419, 0.019933203, -0.10488397, 0.005380108, -0.08740668, -0.029060403, -0.11787811) * go_4(1.0, -1.0); result += mat4(0.0698077, -0.043017045, 0.42739016, 0.1282123, -0.038907416, -0.024586748, -0.053633843, 0.010010444, 0.0746271, -0.12704432, 0.105304755, -0.007692808, -0.15972002, -0.0058001876, -0.12617123, 0.1319462) * go_4(1.0, 0.0); result += mat4(0.24729866, 0.020104403, -0.0070631383, 0.002193169, 0.017208308, -0.03927706, -0.059690464, 0.09341524, 0.053952884, -0.04012784, 0.0013764695, -0.09322258, -0.104351625, 0.079050556, -0.23187168, -0.041067176) * go_4(1.0, 1.0); result += mat4(0.07559282, -0.007121507, 0.064281724, -0.04208171, 0.07181849, -0.057766475, 0.03663539, -0.12584496, 0.13129482, -0.040536802, 0.06388505, 0.0648352, -0.104354285, -0.029057123, 0.025301704, 0.06797534) * go_5(-1.0, -1.0); result += mat4(-0.012295075, -0.11266379, 0.13890606, -0.1009057, 0.049523003, -0.13013756, -0.011073384, -0.17642806, 0.033849478, -0.067286395, -0.09607259, -0.11941073, -0.07852535, 0.070990965, 0.07958681, 0.09751703) * go_5(-1.0, 0.0); result += mat4(0.048889246, 0.02065645, -0.15117195, 0.08008445, -0.097651385, -0.09841935, -0.07810215, -0.1435448, -0.024525672, 0.17019714, -0.014132003, -0.15879974, -0.021937879, -0.047171783, -0.04241194, 0.062323704) * go_5(-1.0, 1.0); result += mat4(0.009566434, 0.044832528, -0.10947012, 0.056282133, 0.03313318, 0.18960455, -0.0022577227, -0.059867494, 0.1788795, 0.0064581875, 0.0025646216, 0.1836115, -0.014600685, 0.048506796, -0.026321875, -0.12639087) * go_5(0.0, -1.0); result += mat4(-0.13504559, 0.02070149, 0.0027556552, -0.14156146, -0.02051973, 0.14983834, 0.135184, 0.029648803, 0.085447244, -0.007131224, -0.02740404, -0.03306182, -0.30325142, -0.010920736, -0.1428618, 0.01473421) * go_5(0.0, 0.0); result += mat4(0.082796454, -0.2882475, 0.033648852, 0.06780083, 0.0025427756, 0.20921779, 0.32601947, 0.037308134, -0.04941969, 0.11506637, 0.1052201, -0.16263688, 0.035793655, 0.013166956, 0.046875075, 0.15668811) * go_5(0.0, 1.0); result += mat4(-0.12273471, 0.059235908, 0.094090715, 0.066483214, 0.055713095, -0.095081694, 0.12749717, 0.037079435, -0.04954315, -0.0015122527, 0.052462928, 0.04192708, -0.087000705, -0.103452265, -0.101238675, -0.12716208) * go_5(1.0, -1.0); result += mat4(0.031231718, 0.04960523, 0.03801031, -0.014148782, -0.1700549, -0.027634576, -0.050683066, -0.044469405, -0.1249908, 0.051996186, -0.13499479, 0.04852528, -0.06269932, -0.14156306, -0.21684834, 0.07631763) * go_5(1.0, 0.0); result += mat4(0.03503267, -0.1085209, 0.0032687746, 0.08419354, -0.09975144, -0.057331342, -0.06187919, 0.018815396, -0.0660197, 0.032785807, -0.044796202, -0.08464789, 0.13019373, -0.0052725035, -0.10842854, -0.1265097) * go_5(1.0, 1.0); result += mat4(0.10843437, -0.042249955, 0.09213392, 0.058550596, 0.34286043, -0.03680263, -0.080520734, 0.081237115, -0.11101282, 0.020561857, -0.07829329, -0.07861156, -0.042642172, 0.047789782, -0.011453674, 0.08152565) * go_6(-1.0, -1.0); result += mat4(-0.033355746, 0.15449263, -0.02909576, -0.2126907, 0.0014351727, 0.056038197, 0.051439453, -0.080944866, -0.12848341, -0.092318594, 0.008391837, 0.14316896, -0.12626244, -0.059822824, -0.028360115, 0.124106206) * go_6(-1.0, 0.0); result += mat4(0.076065995, -0.007442306, 0.018361796, 0.047781143, 0.14859623, -0.20209388, -0.059319742, 0.18503356, 0.005876046, -0.022679027, 0.046754144, -0.081030354, -0.04880875, -0.10010487, -0.019134238, -0.068298206) * go_6(-1.0, 1.0); result += mat4(-0.065141104, -0.014636965, 0.09252715, -0.10530383, 0.032840684, 0.0241667, 0.06169493, 0.013166986, -0.09829394, 0.102890424, 0.16348878, 0.0035222566, -0.0051632463, -0.15937272, -0.054516237, 0.060371466) * go_6(0.0, -1.0); result += mat4(0.12154273, 0.006940688, 0.0632419, 0.050377276, 0.096380666, -0.13581754, 0.019218676, -0.118092984, -0.08397616, 0.010211745, -0.16092652, -0.018237336, -0.05521688, 0.07793925, -0.015056251, -0.010640031) * go_6(0.0, 0.0); result += mat4(0.117333665, -0.045693874, 0.08677505, 0.18481869, 0.021715302, -0.17659235, -0.12190321, 0.069215, -0.09852735, 0.0051317047, 0.011414723, -0.010025633, -0.022104986, -0.008267602, -0.06970688, -0.01715165) * go_6(0.0, 1.0); result += mat4(-0.04642769, -0.0048307595, 0.026597666, -0.06865938, 0.07526568, 0.010903595, -0.06291743, 0.14711984, -0.16923498, 0.05477543, -0.007967766, -0.04240283, 0.10985941, 0.034625076, -0.061943896, 0.09802212) * go_6(1.0, -1.0); result += mat4(-0.15498288, -0.10491709, 0.04875818, 0.092458375, 0.08318519, -0.17395361, -0.11307961, -0.11352265, -0.06517359, 0.033491883, 0.1500928, 0.09595689, 0.2221886, 0.1971029, 0.03340507, 0.09907139) * go_6(1.0, 0.0); result += mat4(0.018105853, 0.13096991, -0.08594942, -0.0069381646, -0.09303678, 0.11968446, 0.013137556, -0.18475753, -0.17404708, 0.018362308, 0.050778937, -0.14831465, -0.16454415, 0.016504198, 0.068201326, 0.019034768) * go_6(1.0, 1.0); result += mat4(-0.059188414, 0.058179308, -0.08013644, 0.014560273, -0.0397555, -0.09598701, 0.021475889, -0.09001553, 0.06737068, -0.035820715, -0.049452264, -0.0010155657, 0.014491759, 0.002673296, -0.055191662, 0.05930104) * go_7(-1.0, -1.0); result += mat4(-0.022511646, 0.023634708, -0.18631141, 0.023679258, -0.05573237, 0.09657504, -0.0936412, 0.047838435, -0.014578712, -0.20757015, 0.054425128, -0.06030886, 0.13558897, -0.041487727, 0.033786304, 0.07894061) * go_7(-1.0, 0.0); result += mat4(-0.13075544, 0.15523684, -0.17299353, 0.03286955, 0.0749896, -0.06681099, -0.055989783, 0.026047809, 0.066080905, -0.15055823, 0.01607878, -0.07582076, -0.031457435, 0.0007434168, -0.05784407, -0.1401879) * go_7(-1.0, 1.0); result += mat4(-0.052085534, -0.03877744, -0.0069224983, 0.16789192, 0.09517772, -0.08007505, 0.02462484, -0.088129416, 0.0013408829, -0.0623811, 0.0074883886, -0.06386363, -0.03685527, -0.030492947, -0.08852659, -0.050996445) * go_7(0.0, -1.0); result += mat4(-0.11065168, -0.112389065, -0.078902274, -0.07768, 0.076662615, 0.070917815, 0.020645864, -0.0633654, -0.14201139, -0.10073064, -0.12981233, -0.14300786, -0.03800091, 0.030122137, -0.044012945, 0.040963754) * go_7(0.0, 0.0); result += mat4(-0.06765774, -0.10985129, -0.09417687, -0.045574006, -0.0015684896, -0.08624407, -0.07156704, 0.11013036, 0.10451182, 0.05722487, -0.08562462, 0.15677613, 0.10791058, 0.030469015, -0.01489781, -0.061118122) * go_7(0.0, 1.0); result += mat4(-0.076483645, -0.051188245, -0.026427023, -0.07758995, 0.070514984, 0.066108, -0.028824564, 0.15448493, 0.18118386, 0.025077257, -0.13165683, 0.05608995, 0.008781471, 0.052336816, -0.010705784, -0.19363798) * go_7(1.0, -1.0); result += mat4(-0.08199591, -0.13568819, -0.039902184, 0.07975507, 0.12640685, -0.002146138, 0.014260887, -0.17183918, -0.009152956, 0.038202666, -0.2094691, -0.058618493, 0.15224771, 0.06021081, 0.11798141, -0.03590271) * go_7(1.0, 0.0); result += mat4(-0.039392676, -0.098705426, -0.00030400066, 0.13875104, 0.033425663, 0.045219854, -0.04672713, -0.08291983, 0.0065967776, 0.09905884, -0.07684505, -0.011784174, 0.113817036, -0.049223375, 0.054426376, -0.039116792) * go_7(1.0, 1.0); result += vec4(0.019128362, 0.03289745, -0.020459, -0.028252047); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_24_tf //!BIND conv2d_24_tf1 //!BIND conv2d_24_tf2 //!BIND conv2d_24_tf3 //!SAVE conv2d_25_tf //!WIDTH conv2d_24_tf.w //!HEIGHT conv2d_24_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_24_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_24_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_24_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_24_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_24_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_24_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_24_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_24_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.017471954, 0.033765998, 0.10728799, 0.05748774, 0.02781238, 0.0065988842, 0.048899, -0.111819625, -0.15673992, -0.14049643, -0.19609143, 0.06799994, 0.056545053, 0.05854318, 0.07989028, 0.06865026) * go_0(-1.0, -1.0); result += mat4(-0.027804995, 0.28089818, 0.00939153, -0.10538561, -0.06944387, 0.040870868, -0.056329433, 0.053074345, 0.030704536, 0.0017814944, 0.11775399, -0.24013947, 0.047405023, -0.01956273, -0.025394185, -0.08049281) * go_0(-1.0, 0.0); result += mat4(-0.052235425, -0.059296433, 0.11562215, -0.025237624, -0.0875074, 0.15221938, 0.14525545, 0.14261505, -0.03608716, -0.16691273, -0.103693224, 0.19114594, -0.08115013, -0.09270833, 0.035125177, 0.15294996) * go_0(-1.0, 1.0); result += mat4(-0.12381403, 0.11570407, 0.038750608, -0.023706824, -0.059968557, -0.11266674, 0.0029604204, 0.13800496, -0.17783286, 0.021752914, -0.034509424, -0.028650694, -0.14898375, 0.06902978, -0.15860847, 0.009637565) * go_0(0.0, -1.0); result += mat4(-0.025171917, 0.12672316, 0.14192998, -0.14433089, 0.064913236, -0.0022447554, -0.21268947, -0.038177896, 0.036399573, -0.21507782, 0.07123678, -0.13206129, -0.07121265, 0.0096024005, 0.22898148, 0.05494094) * go_0(0.0, 0.0); result += mat4(0.1506902, 0.06988544, 0.13345703, 0.057807617, -0.11837313, -0.09402816, 0.013641186, -0.17395163, 0.0016941638, 0.24603452, -0.2586276, -0.17429659, -0.072540164, -0.03448174, -0.11606636, -0.08689208) * go_0(0.0, 1.0); result += mat4(0.04652269, -0.10444236, 0.086832695, -0.10591385, -0.017574495, 0.0015303675, -0.086677074, 0.13133185, 0.10970881, -0.11243208, 0.07597016, -0.08536491, -0.15017018, 0.107406065, -0.032401532, 0.11085293) * go_0(1.0, -1.0); result += mat4(-0.029553665, 0.038572565, 0.06975905, 0.020539641, -0.22124092, 0.18579805, -0.20957313, -0.02503689, 0.013945879, 0.20544745, 0.06853718, -0.23524883, -0.11711525, 0.05449384, -0.06129214, 0.061477955) * go_0(1.0, 0.0); result += mat4(-0.09428423, 0.05353704, -0.08986825, -0.12206943, 0.015571677, -0.06035716, 0.03597724, 0.06506318, 0.24872549, -0.07388469, 0.10377363, -0.0035277915, 0.15126887, 0.030227851, 0.09139127, 0.1724195) * go_0(1.0, 1.0); result += mat4(-0.08194724, -0.14544182, -0.06835661, 0.12667398, -0.003119579, -0.058695093, -0.03867005, -0.018764118, -0.021299256, 0.1767535, -0.047742914, 0.16228043, 0.0039194035, 0.108454764, -0.09458136, -0.08617982) * go_1(-1.0, -1.0); result += mat4(-0.10684914, -0.32592118, -0.08571172, -0.0101189185, -0.003587966, 0.058117017, 0.03881399, 0.08900041, 0.13914779, 0.29735216, 0.092806034, 0.04355884, -0.2201469, -0.03196189, -0.0591701, 0.0492791) * go_1(-1.0, 0.0); result += mat4(0.10436922, -0.21961232, -0.23891205, -0.06916029, -0.047455642, 0.053441495, 0.039798163, 0.029930444, 0.028346276, 0.11400354, 0.1262288, -0.039326813, -0.27376792, 0.046276275, -0.0708307, -0.013476013) * go_1(-1.0, 1.0); result += mat4(0.03159886, 0.21562842, -0.014585027, -0.08378165, -0.075764485, 0.037414357, 0.05071985, 0.011949454, 0.21450044, 0.15943736, 0.046434704, 0.02799841, 0.06830587, 0.21022047, -0.021822905, -0.048930455) * go_1(0.0, -1.0); result += mat4(0.007448671, 0.31557044, -0.14174029, -0.095406465, -0.058464147, 0.007829958, 0.054605816, 0.033241432, 0.05140908, -0.24677344, -0.11616229, 0.014348134, 0.010551736, 0.0059860707, 0.13453126, 0.009637068) * go_1(0.0, 0.0); result += mat4(-0.19331768, 0.06736968, -0.028931534, -0.038676705, 0.12592682, -0.093849026, 0.02008791, 0.014735365, 0.37446207, -0.16751154, 0.036961526, -0.1590846, 0.021004658, -0.008121, -0.029536324, -0.004248831) * go_1(0.0, 1.0); result += mat4(0.15364482, -0.14937145, 0.01816333, -0.018371658, -0.01705263, 0.056991376, 0.11055977, -0.14455408, 0.33668515, 0.025234248, 0.1158367, 0.038978804, -0.082735226, 0.036333524, 0.14080678, 0.07116793) * go_1(1.0, -1.0); result += mat4(-0.03225392, 0.05972964, 0.08061265, 0.010593995, -0.03653595, -0.081596345, -0.07971582, -0.101583384, 0.30200258, 0.020900398, -0.076761626, 0.2588924, -0.19713697, -0.0039160987, 0.12071749, 0.07637735) * go_1(1.0, 0.0); result += mat4(-0.009703355, -0.112931654, 0.10053343, -0.021120002, -0.0056891046, -0.08936862, 0.019142495, 0.086807735, -0.036430825, -0.13736516, 0.078291796, 0.13332526, 0.036317714, -0.02775869, 0.21644063, -0.021389648) * go_1(1.0, 1.0); result += mat4(0.07151064, 0.13414513, 0.16725646, 0.05681151, 0.03014826, -0.013707471, 0.03738184, -0.076183036, 0.0013138218, -0.0045046997, -0.034409188, -0.11118198, 0.020379785, -0.018046485, -0.025136197, 0.07276152) * go_2(-1.0, -1.0); result += mat4(-0.31872088, -0.019305777, -0.1202114, 0.28454658, 0.0105313035, -0.10189794, -0.07196168, -0.036715895, 0.13881202, 0.06850477, -0.021623109, 0.079496734, -0.06979547, -0.11332472, 0.024788616, 0.032634366) * go_2(-1.0, 0.0); result += mat4(-0.11924803, 0.025480963, -0.076824784, 0.13637042, -0.013938593, -0.25385013, 0.05410712, 0.062499918, 0.081072375, -0.057731725, 0.049677495, -0.06418712, 0.060383555, -0.0074860845, -0.1453992, -0.032517288) * go_2(-1.0, 1.0); result += mat4(-0.036895122, 0.036074597, 0.037811972, 0.099549554, 0.07307597, -0.018347137, -0.12284651, -0.10390334, 0.053444356, -0.124446824, -0.017259916, -0.123878516, 0.015864458, -0.037590273, 0.015383898, -0.13280766) * go_2(0.0, -1.0); result += mat4(-0.17129786, 0.30193725, -0.63509864, 0.044185117, 0.17067964, 0.13152778, 0.013793428, -0.22130486, -0.1177694, -0.090981916, -0.1120058, -0.03206043, -0.03634814, -0.025005434, -0.041229405, 0.003946445) * go_2(0.0, 0.0); result += mat4(-0.19944333, 0.37651125, -0.2258299, 0.15009473, -0.18867065, 0.16184928, -0.15228443, -0.11970196, 0.023598861, -0.05103017, -0.0396361, -0.014802233, 0.18477547, 0.117229566, -0.0659542, -0.04572343) * go_2(0.0, 1.0); result += mat4(-0.031589817, -0.15478852, -0.0138067985, 0.22124025, 0.01842947, 0.019181002, -0.00199036, 0.1694457, -0.040336214, 0.03585539, -0.15060787, -0.0629436, -0.01583668, 0.08921745, -0.16015616, -0.041883018) * go_2(1.0, -1.0); result += mat4(0.34572613, 0.08028766, 0.05118005, 0.060876332, -0.04589517, -0.07928535, 0.19742113, -0.08568548, 0.035782974, 0.032317884, -0.04522276, 0.0027367994, 0.120695986, 0.12010325, 0.08282749, -0.0039305175) * go_2(1.0, 0.0); result += mat4(0.11901709, 0.036992844, -0.02980137, -0.12586515, 0.05982998, -0.02190856, 0.05343958, 0.029002843, -0.050481327, 0.02545951, -0.039066423, 0.0004951633, 0.08666116, -0.03562756, 0.014761862, -0.103269614) * go_2(1.0, 1.0); result += mat4(-0.18563634, 0.043092452, -0.058314674, 0.015170002, -0.007694099, 0.1127861, 0.02553127, -0.012972445, -0.0046755355, -0.01073453, 0.021448553, 0.040810876, 0.030288234, -0.06359927, -0.06596764, 0.061660938) * go_3(-1.0, -1.0); result += mat4(-0.012341555, -0.042663574, -0.0037670187, -0.018076867, -0.041096028, 0.054967128, -0.063933946, 0.08594425, 0.041885212, 0.096373014, 0.057978775, 0.016001241, -0.03465387, -0.063257515, -0.024798894, -0.10663954) * go_3(-1.0, 0.0); result += mat4(0.013904101, 0.032032844, -0.11790652, -0.14560696, 0.0051183654, -0.093018, -0.038192853, -0.02419622, -0.12162447, 0.108436026, 0.031953014, 0.005816637, -0.039445993, -0.027502064, -0.074986555, -0.08383356) * go_3(-1.0, 1.0); result += mat4(0.027069142, 0.020535026, 0.05137401, -0.022017054, -0.009511554, 0.002717326, 0.07104652, 0.14271072, -0.0809091, -0.12810269, 0.14585342, -0.030829936, -0.049544737, 0.121479005, -0.020640593, 0.07074442) * go_3(0.0, -1.0); result += mat4(-0.020390948, -0.032292105, -0.044466075, -0.040939715, -0.09642971, 0.00013572059, 0.04400759, 0.089212894, 0.11231742, 0.00036003115, 0.2045489, 0.053579632, 0.0019167879, 0.05940128, 0.12449242, 0.07200519) * go_3(0.0, 0.0); result += mat4(0.17566979, -0.05323988, 0.025047952, 0.026185818, 0.054906968, 0.12425456, 0.15909024, -0.045865864, -0.01796168, 0.025883837, 0.029770195, 0.071876444, 0.17989114, 0.061715063, 0.097672, -0.035693962) * go_3(0.0, 1.0); result += mat4(-0.09611145, 0.044253152, 0.18311392, 0.012182593, 0.027319858, -0.000298763, -0.025718696, -0.0056334995, 0.02268943, -0.008492036, 0.16236448, -0.10463633, -0.004877864, -0.037485115, 0.17201148, -0.07504223) * go_3(1.0, -1.0); result += mat4(0.038427748, -0.018089676, 0.059632216, 0.060849853, 0.042234454, -0.028407281, 0.12165844, 0.033764914, 0.02828128, 0.018331876, -0.035620198, -0.030596597, -0.05245467, -0.15661895, 0.15989384, 0.05777106) * go_3(1.0, 0.0); result += mat4(0.0080382265, -0.05058627, 0.15177754, 0.02457983, -0.02158919, -0.02603419, 0.0043647015, -0.05269519, -0.00064104307, -0.028884081, 0.09408389, -0.008114448, 0.14760026, -0.076470025, 0.04603376, 0.018461453) * go_3(1.0, 1.0); result += mat4(0.11306435, -0.18730852, 0.0075167455, -0.09560337, 0.0077709462, -0.07057433, 0.0035797127, -0.022853112, 0.021342495, -0.03696785, 0.01289179, 0.06829949, -0.013827679, -0.03999237, -0.04753059, 0.0466047) * go_4(-1.0, -1.0); result += mat4(0.017390149, 0.002040908, -0.12693553, -0.32789224, 0.027319256, 0.03846405, -0.00015923935, -0.07049247, 0.16783871, -0.10079691, -0.11123616, 0.05324317, 0.13512036, -0.028285459, 0.12069438, 0.06956111) * go_4(-1.0, 0.0); result += mat4(0.054364968, -0.16399679, 0.20564489, -0.043816883, 0.057793453, -0.10362303, -0.067307614, 0.04665986, -0.14624558, -0.12807955, -0.056192804, 0.121388845, -0.019129038, -0.012357931, 0.0026693486, 0.10578014) * go_4(-1.0, 1.0); result += mat4(0.00028465505, -0.18237738, -0.27618593, -0.10873971, -0.09118435, -0.051416524, -0.12859847, -0.0023402795, 0.06602108, -0.041825376, -0.1211535, -0.013451067, 0.06285976, 0.026286084, -0.08663906, 0.059711363) * go_4(0.0, -1.0); result += mat4(0.09418096, -0.16677582, 0.31493846, 0.19121769, 0.013836401, -0.14683236, 0.089372076, 0.031131288, 0.07269414, 0.029907493, 0.015037321, 0.048650477, 0.09947451, 0.1382513, 0.008702595, 0.030025264) * go_4(0.0, 0.0); result += mat4(-0.36631888, 0.031981204, -0.1694263, -0.31440136, 0.063722916, -0.04748052, -0.25194407, -0.15265068, -0.040349986, 0.09606634, -0.062473077, -0.107912265, -0.041041367, -0.019101804, -0.0007443431, 0.20662434) * go_4(0.0, 1.0); result += mat4(0.039134044, -0.06769877, -0.04496397, 0.058510136, 0.0539612, 0.049229577, -0.04531815, -0.09764556, -0.0072655273, 0.066220924, 0.052972153, 0.062115185, 0.07058065, 0.03482429, 0.11264238, -0.012771517) * go_4(1.0, -1.0); result += mat4(-0.14832714, -0.26061863, -0.117175885, -0.07227297, -0.095274866, 0.06427019, -0.1720085, -0.12606795, 0.0055882256, -0.068954766, 0.040132865, -0.057916597, 0.116415136, -0.0038085836, -0.11257074, 0.16791174) * go_4(1.0, 0.0); result += mat4(0.15208925, -0.035363015, 0.016423287, -0.011545738, 0.010486088, 0.15796964, -0.018267475, 0.04819378, 0.07893306, -0.049445417, 0.10922541, 0.056629743, -0.20051284, 0.0646689, -0.022053083, 0.006558849) * go_4(1.0, 1.0); result += mat4(0.034261696, -0.048524413, 0.08553469, 0.18164964, 0.049066372, 0.057888642, 0.13727365, -0.04544014, 0.08169355, -0.008774393, -0.038793385, 0.012722537, -0.10232049, 0.060814742, 0.08948346, -0.045197718) * go_5(-1.0, -1.0); result += mat4(0.10102485, 0.009672051, -0.014999783, 0.16597384, 0.14226477, 0.124397196, 0.13134599, 0.0075497227, 0.019706044, 0.02880536, 0.029863069, -0.106501095, -0.0014861296, -0.06983038, 0.100633115, 0.053191233) * go_5(-1.0, 0.0); result += mat4(-0.024684586, 0.058772594, 0.09473553, 0.006539196, 0.16713893, 0.044055037, -0.059446193, -0.085051544, -0.13981988, -0.01050415, 0.0004877739, 0.2358795, -0.043013573, -0.02102554, 0.043523125, 0.0362912) * go_5(-1.0, 1.0); result += mat4(-0.08964394, -0.08315431, -0.016985089, 0.069526255, 0.016692394, -0.17341077, 0.02946918, 0.0697097, 0.08705007, -0.011073351, 0.038017947, 0.024542587, 0.006911302, -0.01183356, 0.042103864, 0.10522466) * go_5(0.0, -1.0); result += mat4(-0.08360448, 0.12198474, -0.059289638, 0.06424023, -0.07853796, -0.13322891, 0.031532466, 0.04782606, 0.014080435, 0.0020295705, -0.07157181, -0.011628711, -0.06752404, 0.103147015, -0.026804183, 0.119201295) * go_5(0.0, 0.0); result += mat4(0.121583, -0.18472487, 0.051415585, 0.09387002, -0.12578335, -0.13457519, -0.011141069, 0.007924912, -0.15972508, 0.082277834, 0.006660031, 0.018529864, -0.048006892, -0.16195123, 0.11889123, 0.09391133) * go_5(0.0, 1.0); result += mat4(0.0011877354, -0.03821508, 0.079352275, 0.09431855, 0.120227985, 0.12770982, -0.013714698, 0.038997453, -0.0004619692, 0.036872115, -0.13374491, 0.037702244, 0.008888777, -0.04283213, -0.11525023, 0.073225714) * go_5(1.0, -1.0); result += mat4(0.11580729, -0.013175554, -0.1253745, 0.039527655, 0.2501712, 0.21559192, -0.17641467, -0.121261366, -0.124944955, -0.076779194, 0.020058166, 0.16612346, -0.0025809745, 0.0701927, -0.04693916, 0.056292046) * go_5(1.0, 0.0); result += mat4(0.018906271, -0.050643444, 0.02444996, -0.024262303, -0.09815448, 0.053140316, -0.05007922, -0.12625203, 0.0458619, 0.022072764, -0.11102561, 0.038217522, -0.074741885, 0.098456666, -0.06336978, 0.03393061) * go_5(1.0, 1.0); result += mat4(0.092316404, 0.05333801, -0.030575402, -0.081248224, 0.0079937065, 0.09291787, -0.060621336, 0.04314502, -0.0013314068, -0.12648228, -0.03434061, -0.001897616, -0.0036773146, 0.14251038, -0.056213245, -0.012823907) * go_6(-1.0, -1.0); result += mat4(0.075125776, 0.069178015, -0.06843881, -0.023425177, -0.14221351, -0.19814956, -0.08641597, -0.040399566, -0.02199065, -0.12643565, -0.11299937, -0.09457813, -0.1383775, -0.14663833, -0.10941722, 0.07635694) * go_6(-1.0, 0.0); result += mat4(0.0725733, 0.09736323, 0.04138415, -0.07827824, -0.07074357, -0.18943074, 0.045716334, 0.0020727555, 0.02317897, 0.06851788, -0.16416553, -0.021083718, -0.049671404, -0.084899835, -0.12828274, -0.10106359) * go_6(-1.0, 1.0); result += mat4(0.03463169, -0.18304746, 0.0113404775, 0.08603118, -0.023727167, -0.010212168, 0.07873619, 0.094507635, -0.015712371, 0.10867139, -0.021452317, -0.0109243365, -0.008315214, 0.070175745, -0.114166215, -0.033175204) * go_6(0.0, -1.0); result += mat4(0.12465464, 0.078011826, 0.15954973, 0.106771946, -0.18527602, 0.17714898, -0.10814003, 0.08439565, 0.05126767, 0.07982679, 0.051989906, -0.07862624, 0.0116982795, -0.10962926, 0.09563839, 0.18439959) * go_6(0.0, 0.0); result += mat4(0.15925483, -0.17562218, 0.16054402, -0.102731735, 0.0002583934, 0.036983114, 0.011999053, 0.27471888, -0.004332959, -0.12928788, -0.08790416, -0.010699724, -0.02548459, -0.08457954, 0.05052734, 0.24577044) * go_6(0.0, 1.0); result += mat4(0.06567454, -0.025370235, -0.05715709, -0.082185306, -0.09599352, 0.086617105, 0.0822692, 0.029309079, 0.09133301, -0.024522156, -0.03486816, 0.038204033, -0.05361194, 0.10158628, 0.063485794, 0.03969183) * go_6(1.0, -1.0); result += mat4(-0.0048210667, 0.0764913, 0.023380734, 0.024152404, -0.06351439, -0.030418124, 0.02406592, -0.036408596, 0.061542217, -0.043871675, 0.025962725, -0.10431354, -0.052235737, -0.1482723, 0.08303624, -0.009218905) * go_6(1.0, 0.0); result += mat4(-0.084167026, -0.096596025, -0.12425624, 0.08682868, 0.00022705906, 0.085114844, 0.16839416, -0.025412558, 0.033778172, 0.017215842, -0.065793276, -0.070195585, -0.08553574, 0.06256185, -0.06854525, 0.037209094) * go_6(1.0, 1.0); result += mat4(0.12050404, -0.20928818, -0.11949551, 0.1291365, 0.084040865, 0.05223939, 0.043977372, -0.016835403, 0.0042935545, 0.059002463, -0.07211131, -0.118245535, -0.19188774, -0.1535305, 0.0272311, 0.105984956) * go_7(-1.0, -1.0); result += mat4(-0.006181896, -0.28432485, -0.12084334, 0.074295126, 0.081649065, 0.055474468, 0.043172136, 0.04395295, -0.21917932, -0.10722758, -0.09593755, 0.013767353, 0.047732692, -0.045233723, 0.1499118, 0.10079427) * go_7(-1.0, 0.0); result += mat4(0.1524887, -0.03541432, -0.036423605, 0.0036694347, 0.09287245, 0.11441246, 0.1423142, 0.0036378538, 0.096392065, -0.056260396, 0.034749147, -0.04590672, -0.04538836, -0.023286846, 0.006294474, -0.12256234) * go_7(-1.0, 1.0); result += mat4(-0.028657515, -0.005657442, -0.009628549, 0.075619094, 0.051912576, -0.08320796, 0.062917456, 0.040294655, -0.015313034, -0.07584268, -0.025918879, 0.05634464, 0.12799169, 0.017167855, 0.022167781, -0.0989495) * go_7(0.0, -1.0); result += mat4(0.043959383, -0.094892405, 0.09580696, 0.015563032, 0.0015867131, -0.16679575, -0.019396141, -0.24469055, 0.105518065, 0.0013712198, 0.08570463, 0.18447937, 0.0561871, 0.016862078, -0.1697556, -0.10703698) * go_7(0.0, 0.0); result += mat4(0.046563495, -0.028334722, 0.095430285, -0.11062519, 0.1632057, -0.113526955, 0.0078005767, -0.057255816, 0.013870708, -0.1396983, 0.001675939, -0.036503952, 0.10268302, -0.08352583, 0.073321745, -0.08963458) * go_7(0.0, 1.0); result += mat4(-0.0071791788, -0.018167714, -0.10474007, 0.13919841, 0.071997575, 0.036511123, 0.031821, 0.011350003, -0.03294527, 0.07128632, 0.0011163193, -0.046720807, -0.0044006784, -0.0154943485, -0.0124589205, -0.011068004) * go_7(1.0, -1.0); result += mat4(0.0065815425, 0.1016602, -0.049425308, 0.05000585, -0.015566087, -0.13111699, 0.0053829947, -0.063102424, 0.04960389, -6.787479e-05, -0.08155758, -0.015248496, -0.03355637, 0.08096152, -0.044310823, 0.05465892) * go_7(1.0, 0.0); result += mat4(-0.038555566, -0.18589461, -0.04570239, 0.06552533, 0.03866913, 0.08443401, 0.028861761, -0.032269157, -0.061593454, 0.035525497, -0.050243054, -0.06402548, -0.10291229, -0.086267136, 0.04558792, -0.002906924) * go_7(1.0, 1.0); result += vec4(0.041304566, -0.03238812, 0.014535408, -0.017808888); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x112 //!HOOK MAIN //!BIND conv2d_24_tf //!BIND conv2d_24_tf1 //!BIND conv2d_24_tf2 //!BIND conv2d_24_tf3 //!BIND conv2d_26_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!BIND conv2d_22_tf //!BIND conv2d_25_tf //!SAVE conv2d_27_tf //!WIDTH conv2d_24_tf.w //!HEIGHT conv2d_24_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_24_tf_tex(conv2d_24_tf_pos)), 0.0)) #define g_1 (max((conv2d_24_tf1_tex(conv2d_24_tf1_pos)), 0.0)) #define g_2 (max((conv2d_24_tf2_tex(conv2d_24_tf2_pos)), 0.0)) #define g_3 (max((conv2d_24_tf3_tex(conv2d_24_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_24_tf_tex(conv2d_24_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_24_tf1_tex(conv2d_24_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_24_tf2_tex(conv2d_24_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_24_tf3_tex(conv2d_24_tf3_pos)), 0.0)) #define g_8 (max((conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_24 (max((conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_25 (max(-(conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_26 (max((conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) #define g_27 (max(-(conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.11443151, -0.108713426, 0.276695, 0.07989307, 0.04647579, 0.009262729, 0.1685192, 0.06342496, 3.7802124e-06, 0.11471419, 0.21862917, -0.14714405, 0.07615697, 0.008696574, 0.12699789, -0.19018881) * g_0; result += mat4(0.12515754, 0.31493005, -0.09689205, 0.03547315, 0.014907384, -0.16497225, -0.13919856, -0.11483534, 0.12144794, -0.16309711, -0.32288572, -0.12443185, 0.069901936, 0.087048694, -0.10706947, -0.17567441) * g_1; result += mat4(0.39898342, -0.22792721, 0.14832391, 0.2717282, -0.020610651, 0.23566288, 0.010850474, -0.17099889, -0.016039778, -0.0020831313, -0.12241154, 0.12688214, 0.0036613182, 0.036608845, 0.014307337, -0.11151725) * g_2; result += mat4(-0.10309775, 0.13672508, -0.14171574, 0.0008346642, 0.009146607, 0.08628462, -0.08052912, -0.017026344, 0.15191628, -0.057887327, -0.19557409, 0.051096447, -0.08008495, -0.107524894, 0.2823684, -0.08889756) * g_3; result += mat4(-0.016564824, -0.24989256, -0.2249194, -0.0651977, -0.06807716, -0.025363477, -0.027399465, -0.07455227, 0.06599263, 0.26438046, -0.051439926, 0.06316548, 0.022916218, -0.046988536, 0.029912783, 0.022940762) * g_4; result += mat4(-0.12251786, -0.06948682, 0.22916022, -0.024786122, -0.00439896, 0.083174594, 0.036550373, -0.006298349, -0.11279929, -0.093094416, -0.034991793, 0.046064105, 0.11115092, -0.082963385, 0.05877601, -0.06852534) * g_5; result += mat4(0.07373158, 0.09035215, 0.07685686, -0.00512534, 0.16249287, -0.30190566, -0.17152359, -0.021798678, -0.036162075, -0.14855996, 0.06671937, 0.040752716, 0.038710788, -0.05742677, -0.15890189, -0.065827206) * g_6; result += mat4(0.08283188, -0.07847956, -0.1273862, 0.06317435, -0.045053452, -0.07436303, -0.21195294, 0.03413814, 0.0180427, -0.08224744, 0.19969232, -0.10173545, -0.0985865, 0.13246737, -0.22761853, -0.052478615) * g_7; result += mat4(0.058520608, -0.08817867, 0.23608765, -0.073843844, 0.052322935, 0.02629083, 0.13331904, 0.06627578, 0.041870154, 0.0606517, -0.26620305, 0.09230404, 0.027014492, 0.14735153, -0.16004741, 0.09812545) * g_8; result += mat4(0.047826007, 0.1634714, 0.11705604, 0.0708394, -0.009366613, -0.03155836, 0.077331886, -0.0031559314, 0.097498395, 0.04192316, 0.17008877, -0.2166131, 0.20248255, 0.010872594, 0.06436194, -0.13117972) * g_9; result += mat4(0.02341538, -0.083836935, -0.3000272, -0.13124003, -0.019327922, 0.04084534, 0.1415715, -0.032898612, 0.12683785, 0.2175736, -0.18110937, 0.16924378, 0.15692717, 0.2107051, -0.11289415, 0.024807237) * g_10; result += mat4(-0.0038417198, -0.023462469, 0.29741266, 0.41617903, -0.07855188, -0.10439054, 0.029460225, 0.19564202, -0.039808284, 0.1763466, -0.090184964, -0.34782696, -0.02403701, 0.074582, -0.12709166, 0.08750199) * g_11; result += mat4(-0.005616591, 0.06304182, -0.040408023, -0.09645956, 0.06324051, 0.20628944, -0.3098933, 0.02254578, 0.029077038, 0.053340837, 0.063302726, 0.16661525, 0.03846741, -0.009219741, 0.116365075, -0.10009024) * g_12; result += mat4(-0.05268469, -0.00017071658, -0.07163157, -0.21923296, -0.16725844, -0.03701403, -0.14504927, 0.014916945, 0.0009528244, -0.15782906, 0.12831807, 0.29388857, -0.016132563, 0.017562412, -0.25679052, -0.034620695) * g_13; result += mat4(0.22927792, -0.06749382, -0.009661854, 0.17025727, 0.0079777455, -0.041601792, -0.11932827, 0.03387773, -0.09392308, 0.3402342, 0.14215328, -0.39847612, -0.1305392, -0.15584923, 0.045079015, 0.01645792) * g_14; result += mat4(-0.04562495, 0.16534929, -0.046228826, -0.16118683, -0.14846939, 0.18226776, 0.0052598384, -0.23458757, 0.094621554, -0.10582074, 0.10714222, 0.05594153, -0.09598537, 0.113479495, -0.12497368, 0.023943413) * g_15; result += mat4(-0.02769864, -0.26299968, 0.14559303, 0.0944326, 0.17896965, 0.10208632, -0.013210181, -0.044628892, -0.05891498, -0.026696851, -0.22334224, 0.06637618, -0.18068133, -0.25608513, -0.17188187, 0.011999808) * g_16; result += mat4(-0.058387913, 0.0218284, -0.23960036, 0.022659982, -0.14655428, -0.2565323, 0.108330764, 0.13125636, 0.124482006, 0.16533256, -0.022780979, -0.09548541, 0.08578177, -0.006597655, -0.14589092, -0.12073695) * g_17; result += mat4(0.056324802, 0.0128009105, -0.025639247, 0.01001398, -0.17908664, -0.06784469, -0.2604881, -0.18153118, -0.063292824, -0.051646266, -0.06044485, 0.07686661, -0.082505025, 0.22550054, -0.037884668, -0.053193748) * g_18; result += mat4(-0.069400966, 0.0617642, 0.010582028, 0.09696695, 0.0014224951, -0.04151362, -0.12185871, 0.0012915661, 0.14637092, -0.006555717, -0.05938257, 0.13994268, -0.0066529186, -0.19960605, 0.15346165, -0.0865367) * g_19; result += mat4(-0.2611735, -0.022063201, -0.038368087, 0.09316622, -0.038465716, -0.18126398, -0.08461157, 0.067109436, 0.057539497, -0.20445953, 0.0928182, 0.04585181, -0.24495333, 0.0065940707, -0.37708935, 0.2060806) * g_20; result += mat4(-0.0027922213, 0.22430198, -0.14358118, 0.12783276, -0.11639961, -0.037831385, 0.13331455, 0.19188458, 0.053073954, -0.07114653, -0.058150347, 0.1569289, 0.124720514, -0.12141831, 0.1242011, 0.114829615) * g_21; result += mat4(-0.30982205, -0.037789118, -0.023584012, -0.108513854, -0.29589918, 0.23338793, -0.053462632, 0.14759938, 0.10133443, 0.11237711, 0.055803254, -0.12062855, 0.19252913, -0.08096047, 0.07718558, 0.008393711) * g_22; result += mat4(-0.050342154, 0.0074422276, 0.06969367, 0.08940038, -0.017735183, -0.18851873, 0.16643041, -0.3227906, -0.022566125, -0.14224024, -0.34606192, 0.046124987, -0.04396818, 0.0072183185, -0.15278862, -0.06988554) * g_23; result += mat4(0.034391437, -0.074430875, 0.20160396, -0.072047606, 0.2027079, -0.28531456, 0.10542997, -0.03773651, -0.055301867, -0.0936597, -0.21673253, 0.07367847, -0.02038547, -0.14456849, 0.22297329, 0.35531262) * g_24; result += mat4(-0.18277335, -0.08059337, -0.09400133, 0.15901576, 0.16223545, 0.2021658, 0.047907606, 0.056792736, 0.06719305, 0.0033384864, -0.06851851, 0.051555436, -0.040477566, 0.2388465, -0.020530254, -0.24586761) * g_25; result += mat4(0.11648392, -0.20024611, -0.07978261, -0.24872676, 0.24125583, 0.03680705, 0.044125002, -0.14167546, 0.18336643, 0.090984896, 0.07496362, -0.17672206, 0.16514459, -0.102161184, -0.030927394, 0.08411755) * g_26; result += mat4(-0.14201398, -0.31110483, -0.42112264, -0.11100327, -0.20474254, 0.027765524, 0.0070005557, -0.08926027, 0.044591606, -0.20539887, 0.08815937, 0.15499651, -0.15112466, 0.017493293, -0.12526624, 0.14187813) * g_27; result += vec4(-0.04274619, -0.027823832, -0.0074941483, 0.045495618); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x112 //!HOOK MAIN //!BIND conv2d_24_tf //!BIND conv2d_24_tf1 //!BIND conv2d_24_tf2 //!BIND conv2d_24_tf3 //!BIND conv2d_26_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!BIND conv2d_22_tf //!BIND conv2d_25_tf //!SAVE conv2d_27_tf1 //!WIDTH conv2d_24_tf.w //!HEIGHT conv2d_24_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_24_tf_tex(conv2d_24_tf_pos)), 0.0)) #define g_1 (max((conv2d_24_tf1_tex(conv2d_24_tf1_pos)), 0.0)) #define g_2 (max((conv2d_24_tf2_tex(conv2d_24_tf2_pos)), 0.0)) #define g_3 (max((conv2d_24_tf3_tex(conv2d_24_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_24_tf_tex(conv2d_24_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_24_tf1_tex(conv2d_24_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_24_tf2_tex(conv2d_24_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_24_tf3_tex(conv2d_24_tf3_pos)), 0.0)) #define g_8 (max((conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_24 (max((conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_25 (max(-(conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_26 (max((conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) #define g_27 (max(-(conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.12234858, -0.021024397, -0.008911491, 0.008654683, -0.261921, -0.08852813, -0.014769153, 0.07656934, -0.1312976, -0.0395526, -0.1335422, 0.16576755, -0.024820516, -0.050337326, -0.10896443, 0.033768054) * g_0; result += mat4(-0.018000448, 0.013071354, 0.049299564, -0.07042542, 0.3076099, -0.02068737, -0.18147635, 0.10448964, 0.07281318, 0.010307286, -0.18882285, -0.014645502, 0.0791774, -0.21212971, 0.026508024, -0.058461342) * g_1; result += mat4(-0.23666126, -0.018033542, 0.0024688705, 0.23144715, 0.0010496895, -0.021392277, 0.08807161, 0.026790189, 0.023468774, 0.011498715, 0.14476688, 0.18361224, 0.04218432, -0.22661938, 0.34774292, 0.113836944) * g_2; result += mat4(-0.029370226, -0.22133234, -0.066944055, -0.24185248, -0.09880753, -0.023189416, 0.006161905, -0.07948689, 0.012845118, -0.19781755, -0.1683098, -0.10058418, -0.018076612, -0.07924661, 0.08356604, -0.23357888) * g_3; result += mat4(0.022303218, 0.12761936, 0.022652805, -0.20914936, 0.17180137, 0.12143295, 0.09799191, -0.12665649, 0.034417123, -0.09280215, -0.0984246, -0.07475625, -0.0069865007, 0.17393745, -0.047097508, 0.086801045) * g_4; result += mat4(-0.009374213, 0.13395758, -0.037030727, 0.069092, -0.12193983, -0.06298433, 0.22348295, 0.051750474, -0.0943686, -0.045059983, 0.23618917, -0.15909736, 0.11566603, 0.07151492, 0.013066669, -0.04950254) * g_5; result += mat4(0.05421195, 0.1602265, 0.12650324, -0.017457927, -0.008281588, -0.09576464, -0.038360406, 0.023573698, -0.071081236, 0.18549033, -0.17457892, -0.06348481, 0.0057788654, -0.17015602, -0.2143573, -0.12245353) * g_6; result += mat4(-0.012059985, 0.034365635, 0.038933452, 0.15287007, 0.08915255, -0.09115187, 0.020236796, -0.030026728, 0.034153678, 0.14779243, -0.2252762, 0.18940309, -0.17914702, 0.04489441, -0.016465506, 0.19653367) * g_7; result += mat4(-0.24926579, 0.21237439, -0.07930057, 0.11889715, -0.02740544, -0.09377776, 0.039144963, 0.24697267, -0.0735153, 0.26344168, -0.15305813, -0.03005728, -0.36296624, -0.11677285, 0.08789561, 0.15614145) * g_8; result += mat4(0.21561594, 0.027871598, 0.11443511, -0.08989617, -0.15216057, 0.31315288, 0.07875693, 0.31678453, -0.05351552, 0.0603098, 0.098363675, -0.024522562, 0.32440776, 0.04057012, 0.020779671, -0.09102291) * g_9; result += mat4(0.030619625, 0.23956256, 0.12258182, -0.056125734, 0.047818817, 0.007024855, 0.005731205, -0.044608884, 0.14420183, -0.34504604, 0.37266588, 0.21600994, 0.14392853, 0.18355964, -0.16690119, -0.055878773) * g_10; result += mat4(0.08539339, -0.030770814, -0.20747332, -0.14294678, 0.06483853, 0.28473207, 0.17663138, -0.14832555, -0.09196593, 0.38663465, -0.4864812, 0.024431465, -0.024223857, -0.13960868, -0.19981948, -0.0046645487) * g_11; result += mat4(0.052366443, -0.11314741, 0.25294435, 0.12731439, 0.12228493, 0.31405678, 0.13434315, -0.124796845, -0.07093641, 0.24931367, 0.008088064, 0.057337996, 0.14562343, -0.1662442, -0.16025625, -0.008378218) * g_12; result += mat4(-0.107468806, 0.012494604, 0.13145463, 0.0044467025, -0.20689802, -0.008778631, 0.22577581, -0.083029106, 0.024620963, -0.025284542, 0.055661917, 0.1272626, -0.03796311, 0.1556227, 0.042157676, -0.08214739) * g_13; result += mat4(-0.04830007, 0.044968493, -0.0075896606, 0.10583585, -0.002229782, -0.061159782, -0.019315276, -0.08692975, -0.02174253, 0.10504436, -0.095099375, 0.10481533, -0.10043261, -0.103314795, 0.099944495, -0.005334155) * g_14; result += mat4(0.12740242, 0.17563054, 0.08312964, -0.067844905, -0.04208514, 0.1110867, -0.21594112, -0.23460679, -0.13176624, 0.1059882, 0.12894152, -0.11152399, 0.09752229, 0.014816284, -0.22325674, 0.09841326) * g_15; result += mat4(0.0653981, -0.022964995, -0.2938982, -0.0061169066, 0.03942006, 0.019700393, 0.08734106, -0.065434955, -0.067304276, 0.112637825, -0.05742705, 0.023384662, -0.2054386, 0.29436016, 0.0037892356, -0.22304635) * g_16; result += mat4(0.088354826, 0.23902883, 0.08372811, 0.0065366016, -0.07964651, 0.24419506, -0.3911946, -0.029087873, 0.090739176, -0.049014863, 0.06988132, 0.02258769, 0.10247047, 0.12518027, 0.0008728705, -0.056853645) * g_17; result += mat4(0.19367176, -0.041542146, -0.16576086, 0.07154839, 0.044061545, 0.16537209, 0.1270174, 0.041331172, -0.20587024, -0.065511934, -0.13275598, -0.07027002, 0.18806867, -0.03407952, 0.04837352, 0.045474067) * g_18; result += mat4(-0.2582355, 0.17942189, 0.12967736, 0.12031099, -0.14537609, -0.041969452, -0.043003123, 0.013001321, 0.12566818, 0.0038525918, -0.08360705, 0.02547348, -0.09314052, 0.052094415, -0.08657066, 0.014753045) * g_19; result += mat4(-0.044867773, -0.12017535, 0.06931032, 0.21013774, -0.17006443, -0.11134061, 0.052347653, 0.22170502, 0.0809573, -0.04026027, 0.058802795, 0.033606496, -0.69711787, -0.21366166, 0.32256404, 0.001037066) * g_20; result += mat4(-0.109290324, 0.12479354, -0.0016870967, -0.2105443, -0.12823416, 0.19568188, -0.01180512, -0.0901166, -0.113193884, 0.20936523, -0.26581213, 0.14669225, -0.03157429, 0.078640506, 0.1446152, -0.10513303) * g_21; result += mat4(-0.12432017, 0.09697878, -0.09566158, -0.1560019, -0.04478926, 0.08118913, -0.023159185, -0.08924593, 0.07948424, 0.13116947, 0.08267777, 0.041434366, 0.12660475, 0.21119997, 0.040758017, 0.010252911) * g_22; result += mat4(-0.07343955, -0.11137574, -0.20888542, -0.010525646, 0.08654566, -0.25162008, 0.0015843184, 0.2251664, -0.16099241, -0.05303513, -0.010290805, -0.19370262, -0.09699956, -0.021551458, -0.28225294, -0.012553028) * g_23; result += mat4(0.13522272, -0.037814137, -0.17619848, 0.059898973, -0.19553477, 0.17938456, -0.27291644, -0.0061011547, -0.010751843, -0.035017565, 0.03794967, 0.31951827, -0.18536541, 0.13390224, 0.0263642, 0.0029341222) * g_24; result += mat4(-0.12729633, -0.14954208, -0.12916204, 0.22230428, 0.11732888, 0.008057732, 0.07490304, 0.13995908, 0.061645962, -0.16856796, -0.03455527, -0.37620506, 0.22656745, -0.15411325, 0.131253, -0.03256949) * g_25; result += mat4(0.102106966, 0.16285823, 0.07355709, -0.06602972, 0.15325125, -0.16784416, 0.1471553, -0.14970179, 0.1314055, -0.036945526, -0.014696616, 0.06697295, 0.07670483, -0.013443979, 0.10073605, 0.114370696) * g_26; result += mat4(0.14675961, -0.21042137, -0.10476935, -0.003657964, 0.013142314, 0.025201753, -0.0875375, 0.17088741, -0.32458684, 0.23715518, 0.07397589, -0.028977808, 0.049964994, 0.03821004, -0.01645503, -0.16695203) * g_27; result += vec4(0.013880447, -0.06316735, -0.020679189, 0.0052526686); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x112 //!HOOK MAIN //!BIND conv2d_24_tf //!BIND conv2d_24_tf1 //!BIND conv2d_24_tf2 //!BIND conv2d_24_tf3 //!BIND conv2d_26_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!BIND conv2d_22_tf //!BIND conv2d_25_tf //!SAVE conv2d_27_tf2 //!WIDTH conv2d_24_tf.w //!HEIGHT conv2d_24_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_24_tf_tex(conv2d_24_tf_pos)), 0.0)) #define g_1 (max((conv2d_24_tf1_tex(conv2d_24_tf1_pos)), 0.0)) #define g_2 (max((conv2d_24_tf2_tex(conv2d_24_tf2_pos)), 0.0)) #define g_3 (max((conv2d_24_tf3_tex(conv2d_24_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_24_tf_tex(conv2d_24_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_24_tf1_tex(conv2d_24_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_24_tf2_tex(conv2d_24_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_24_tf3_tex(conv2d_24_tf3_pos)), 0.0)) #define g_8 (max((conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_24 (max((conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_25 (max(-(conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_26 (max((conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) #define g_27 (max(-(conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.019710967, 0.08727079, 0.13289316, 0.03551607, 0.0777452, -0.112196796, -0.16325843, 0.1558316, -0.022001125, -0.2075691, 0.11862199, 0.02857829, 0.020248298, -0.0094446875, -0.07760552, -0.117990285) * g_0; result += mat4(-0.29817292, 0.10518408, 0.21746357, 0.05733823, 0.03669798, -0.08149275, -0.10093382, 0.008025974, 0.041065153, 0.13907155, 0.03632113, -0.13297954, 0.060014922, 0.17260654, -0.19085334, -0.08275422) * g_1; result += mat4(0.12151083, -0.14669828, -0.1620568, -0.16574967, 0.074872755, 0.19607818, -0.3769676, -0.058607124, 0.033677254, -0.056256827, -0.16380833, 0.20182659, 0.04105756, -0.014290442, -0.113356315, 0.09061605) * g_2; result += mat4(-0.24904074, 0.01590407, -0.003319224, 0.022379734, -0.06170071, -0.10397567, 0.15287766, 0.088777915, 0.020472175, -0.06658154, -0.11527278, 0.018785367, 0.1344412, 0.17483887, 0.09392446, 0.14208129) * g_3; result += mat4(-0.12065394, -0.07425183, 0.19492783, -0.0121520795, -0.21886127, -0.22013198, 0.21618968, 0.1857871, 0.012718742, 0.27063718, 0.2922766, 0.14129776, 0.15681101, -0.11397562, 0.2161061, 0.28459883) * g_4; result += mat4(0.18279836, 0.059465416, -0.2686552, 0.08636607, -0.2511355, 0.105158694, 0.16153961, 0.0084084505, -0.2347149, -0.24694109, -0.06095133, -0.13584507, 0.1535036, -0.070038, 0.14755426, 0.15813471) * g_5; result += mat4(0.05638502, 0.12059284, 0.119747244, -0.025995718, 0.018165832, -0.16386032, -0.0039485083, -0.12419894, -0.18031433, 0.0659284, -0.048997298, 0.05746441, 0.0037581213, 0.0475356, 0.026042571, 0.0461644) * g_6; result += mat4(0.29047623, -0.03317755, 0.012561449, 0.0762115, -0.22357285, 0.09418904, -0.1308704, 0.03420321, 0.3186606, -0.08401149, -0.06973756, -0.1454678, 0.1048745, 0.12291292, -0.014862143, -0.1947549) * g_7; result += mat4(0.24438359, -0.33590525, 0.08984905, 0.3105651, -0.116628, -0.25711998, 0.114802435, -0.062869534, 0.26591647, 0.016051942, 0.14616686, -0.012595678, 0.31504416, -0.2826693, 0.25454178, 0.13212447) * g_8; result += mat4(-0.012505105, 0.25267395, -0.34087932, -0.11540549, 0.23704751, 0.20673543, -0.15236458, 0.08962316, 0.19622429, 0.12039237, -0.1578033, -0.0637722, -0.21207733, -0.03394972, 0.22895417, 0.15027094) * g_9; result += mat4(-0.14031585, -0.035249453, 0.079809986, -0.16434458, 0.10221193, 0.035313964, 0.018961012, -0.16648005, 0.30393958, -0.1710883, -0.19866116, 0.44803715, 0.0661874, 0.08189988, 0.08553425, 0.28069958) * g_10; result += mat4(-0.19560876, 0.13451014, 0.13100468, 0.35829562, -0.15475325, 0.02990502, -0.0061779036, -0.22534068, -0.33936733, 0.27095476, 0.14239429, -0.5767695, 0.087701306, -0.1332555, 0.05407353, -0.21649647) * g_11; result += mat4(0.08749871, -0.2221962, 0.14391874, -0.073948324, -0.025453761, 0.12343736, 0.17743391, -0.07681618, -0.40484402, 0.19426289, -0.09875697, 0.01706343, 0.03982282, -0.17358004, 0.26000148, -0.115895495) * g_12; result += mat4(-0.13025936, 0.2896371, 0.05801185, 0.08293986, -0.0893019, 0.039711192, -0.16405399, 0.12870799, 0.003430463, 0.09525632, -0.16785814, -0.11364755, -0.18278702, -0.016319456, -0.047153126, -0.020832052) * g_13; result += mat4(0.082251646, 0.029341506, 0.17133091, -0.18122095, 0.14725228, 0.11916899, -0.28950807, 0.03370702, 0.0347592, 0.032789018, -0.045912996, -0.19743393, -0.19047977, -0.00169078, 0.10430928, 0.09070872) * g_14; result += mat4(-0.092634596, -0.010618818, -0.03247302, 0.036561195, 0.11044694, 0.12613513, -0.028009905, -0.29851934, 0.087764055, 0.03672974, -0.018752236, 0.13566239, 0.12001229, 0.11018802, -0.11403856, 0.12471705) * g_15; result += mat4(-0.0038836685, -0.2424455, -0.15008962, 0.082429685, -0.027996138, -0.03844133, -0.15668187, -0.04586779, -0.0009184358, -0.04966999, -0.143867, -0.11818294, 0.014227782, 0.17745559, 0.1543326, 0.12324403) * g_16; result += mat4(-0.19125207, -0.072080135, 0.22001915, -0.15000911, 0.006092946, 0.0276868, 0.049183417, -0.023606265, -0.055075668, 0.0023213453, -0.006831625, 0.054617073, 0.028141601, -0.28144443, -0.15619376, 0.012505551) * g_17; result += mat4(-0.002071177, -0.25345835, 0.28130552, 0.02935035, 0.021427564, 0.076878846, 0.10711918, 0.17818032, -0.16705897, 0.0842015, 0.025515607, -0.04167417, -0.06023519, 0.03835697, 0.02799301, -0.15039864) * g_18; result += mat4(0.065405816, 0.13527295, 0.0067324284, -0.12423678, 0.021669216, -0.082277656, 0.14112775, -0.18604228, 0.13923156, -0.09100899, 0.048483785, 0.022520756, 0.14296904, -0.109883346, 0.006980882, -0.07817121) * g_19; result += mat4(-0.037226293, -0.110121734, 0.07505908, 0.11474654, 0.209037, -0.026594287, -0.04906321, 0.25379568, 0.18203714, -0.0306505, -0.30535626, -0.015043494, -0.12235582, 0.25040084, -0.6705801, 0.1575759) * g_20; result += mat4(0.18554471, 0.22335277, 0.22220112, 0.16374512, -0.14779869, -0.013078052, 0.14746222, -0.06868247, -0.17210856, 0.13750106, 0.13263366, 0.056304373, -0.20586984, 0.009876655, 0.23746644, -0.11166203) * g_21; result += mat4(-0.26620933, -0.0082564615, -0.078228526, 0.2707986, -0.20045628, -0.08139448, 0.0045745936, 0.09325633, -0.05672884, -0.0876488, 0.074889794, 0.13535088, 0.009728256, -0.009059547, -0.20067231, -0.17888282) * g_22; result += mat4(0.18152374, 0.012155946, -0.17208481, 0.017410867, -0.13088197, 0.008807619, 0.075113654, 0.101879686, -0.071657784, 0.19019592, 0.15560628, -0.07696461, -0.14242226, -0.12567873, 0.048841417, 0.09410027) * g_23; result += mat4(0.097054265, 0.17632675, 0.070473716, 0.007048641, -0.042248275, -0.15942219, -0.20265426, -0.11571704, 0.06452315, -0.07014653, 0.15223622, -0.046541333, -0.024594152, 0.19610131, -0.020526761, -0.11271823) * g_24; result += mat4(-0.033343684, 0.08648372, 0.10469339, 0.015983986, -0.0068075475, 0.11311371, 0.179533, -0.11297559, 0.33167574, 0.086799785, 0.042009678, -0.27057844, 0.077861145, 0.09749471, 0.06263665, 0.09029921) * g_25; result += mat4(-0.17208366, 0.1823461, 0.05647835, 0.10694644, -0.3164003, -0.0020529446, -0.01364865, -0.03349827, 0.12650657, -0.13572167, -0.07308267, -0.06336381, -0.05660443, -0.043583434, -0.28769398, -0.27051786) * g_26; result += mat4(-0.03592598, -0.4689105, 0.24144898, -0.030977558, 0.002880143, -0.3730606, 0.14906044, -0.07306277, 0.021631535, 0.29016364, -0.10610739, -0.04341038, 0.08593863, 0.07535527, 0.137121, 0.040470026) * g_27; result += vec4(-0.0023638057, -0.06318492, 0.031060705, 0.012420308); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x112 //!HOOK MAIN //!BIND conv2d_24_tf //!BIND conv2d_24_tf1 //!BIND conv2d_24_tf2 //!BIND conv2d_24_tf3 //!BIND conv2d_26_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!BIND conv2d_22_tf //!BIND conv2d_25_tf //!SAVE conv2d_27_tf3 //!WIDTH conv2d_24_tf.w //!HEIGHT conv2d_24_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_24_tf_tex(conv2d_24_tf_pos)), 0.0)) #define g_1 (max((conv2d_24_tf1_tex(conv2d_24_tf1_pos)), 0.0)) #define g_2 (max((conv2d_24_tf2_tex(conv2d_24_tf2_pos)), 0.0)) #define g_3 (max((conv2d_24_tf3_tex(conv2d_24_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_24_tf_tex(conv2d_24_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_24_tf1_tex(conv2d_24_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_24_tf2_tex(conv2d_24_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_24_tf3_tex(conv2d_24_tf3_pos)), 0.0)) #define g_8 (max((conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_24 (max((conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_25 (max(-(conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_26 (max((conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) #define g_27 (max(-(conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.104180515, 0.21909867, -0.0016195358, -0.00827801, -0.17956465, 0.008882964, 0.095886044, -0.12801364, 0.24021642, 0.23698345, -0.17307688, 0.024737755, 0.24745077, -0.121220514, 0.00431543, 0.11270653) * g_0; result += mat4(0.15997665, 0.017852405, 0.05119178, -0.15482607, 0.0473513, 0.102561824, 0.10925874, -0.088492356, -0.07925148, -0.0009926077, -0.1836283, -0.027848043, 0.078280285, 0.007133711, 0.010975833, 0.06212348) * g_1; result += mat4(-0.05369238, -0.3801088, 0.6358423, 0.13610448, -0.17373526, -0.06838332, -0.026865637, -0.22185935, 0.031365998, -0.24836074, 0.07786585, 0.12845472, -0.10230717, -0.090312645, -0.12451369, 0.012365612) * g_2; result += mat4(-0.11176632, 0.1129991, 0.19114831, -0.02778793, 0.17413953, -0.07105402, 0.062856786, 0.03620729, -0.08253814, 0.18052185, -0.23623717, 0.00784666, 0.2294231, -0.0063698697, -0.007017217, 0.19971047) * g_3; result += mat4(0.053607754, 0.128326, -0.08556963, -0.3267408, 0.2113072, 0.04600726, -0.087273054, 0.043838777, -0.013094107, -0.07035021, 0.06061421, -0.042725533, -0.2515608, 0.05992034, -0.00080709986, 0.053383853) * g_4; result += mat4(-0.1296537, -0.028914798, 0.12485024, 0.32676205, -0.15098321, -0.050126188, -0.10485253, -0.22199424, 0.004325448, 0.11900305, 0.03579892, -0.06502462, 0.09748344, -0.23620753, -0.08606443, -0.12277768) * g_5; result += mat4(0.06351925, -0.09474517, -0.030183055, 0.26909778, 0.012661174, -0.12511827, 0.07635961, -0.16331388, -0.07982632, -0.012759043, 0.03974436, -0.07089404, 0.114191614, -0.1768194, 0.20276785, -0.20046876) * g_6; result += mat4(0.118645184, -0.015464144, -0.13408852, -0.031532094, -0.036670644, 0.25638598, -0.08346215, -0.16632739, 0.10724415, 0.031202447, 0.06494471, 0.080996215, -0.1531831, -0.049804404, 0.06983809, -0.18219711) * g_7; result += mat4(0.057444304, 0.06428333, -0.2427994, 0.06495019, -0.2475473, 0.051088843, 0.14431933, 0.04322744, -0.0065100784, -0.07879368, 0.27862424, -0.015107099, 0.48285982, 0.07512295, -0.13956147, -0.5293498) * g_8; result += mat4(-0.04977926, 0.057724383, 0.005400039, -0.07485926, 0.099736564, -0.19428918, 0.3085949, -0.09256943, -0.007471054, 0.15845904, 0.024014933, -0.22958547, 0.05363298, -0.2262346, -0.08504123, 0.010983667) * g_9; result += mat4(-0.0011897761, 0.01905553, -0.07040949, 0.13073099, 0.07718515, -0.00919502, 0.16790766, 0.15093194, 0.07811035, 0.59745634, -0.038061313, 0.33472347, -0.046432715, -0.042526003, -0.042819142, 0.015483182) * g_10; result += mat4(0.16497271, -0.1832641, -0.06919869, -0.0699354, 0.1622412, -0.009429784, -0.042264223, -0.5095821, -0.22293803, -0.22964719, -0.24294993, -0.2749919, -0.24561481, 0.03678232, -0.040695712, 0.04990986) * g_11; result += mat4(0.17668974, -0.14166051, 0.048939627, 0.054249138, -0.07022914, -0.008821423, -0.056008007, -0.21688782, -0.14373022, -0.10112909, -0.26707867, -0.27844477, -0.13381785, 0.024470683, -0.18647262, 0.07304338) * g_12; result += mat4(0.1254997, 0.3412491, -0.11075748, -0.044977497, -0.2579634, 0.19033371, -0.12924103, -0.10767467, -0.18661416, -0.006703569, 0.11859471, 0.011905839, -0.15832269, -0.09578297, -0.050546784, 0.05611259) * g_13; result += mat4(-0.031839076, 0.24811439, -0.048889633, -0.10886483, -0.021840971, 0.07242472, 0.07856694, 0.21579736, 0.24734874, 0.002823113, 0.20664278, 0.07515607, -0.035989497, 0.025168674, 0.012789844, 0.04219985) * g_14; result += mat4(-0.029561277, -0.027150908, -0.2285595, 0.0623451, -0.21524262, -0.0495648, -0.26751977, -0.099391095, -0.11575608, 0.18860719, -0.26475087, 0.10348319, 0.1349935, -0.22972155, 0.07882446, -0.018600948) * g_15; result += mat4(0.11091095, -0.19174413, 0.0066961353, -0.028952863, -0.07400654, -0.1074968, -0.09721747, 0.02431324, 0.028736848, 0.050277565, -0.0013741596, -0.031192824, -0.03777562, 0.05401314, -0.06783531, 0.19289261) * g_16; result += mat4(-0.23818627, 0.22782011, -0.168649, 0.0773027, -0.29677773, 0.028283251, -0.032741956, 0.22565849, -0.059789155, -0.08474369, 0.25028643, 0.051620036, 0.06692328, -0.14508602, -0.0667097, -0.14061047) * g_17; result += mat4(0.13310762, -0.12951846, 0.06509994, 0.040003385, 0.049557522, 0.18617095, -0.09436182, 0.059164654, 0.11599615, -0.004864734, -0.07653804, 0.00014459781, 0.13770443, -0.14924237, 0.07231551, -0.016222041) * g_18; result += mat4(0.10529918, 0.08091443, -0.11911098, 0.12648894, -0.12755243, -0.051939204, -0.14069635, 0.032026708, 0.00019522365, -0.0022558924, 0.21253237, -0.13399132, 0.1323077, 0.17119333, -0.12659132, 0.09258308) * g_19; result += mat4(-0.18063812, 0.06042027, 0.13172136, 0.17522804, 0.1790162, -0.32260424, 0.012049487, -0.29769227, 0.027918922, 0.07017221, -0.0750346, 0.014930939, -0.1885921, 0.26602972, 0.026115637, 0.3200164) * g_20; result += mat4(0.38229984, -0.054856207, -0.30004284, -0.096048094, -0.045444023, 0.12204156, 0.01020938, 0.05631701, 0.18008712, 0.08312059, 0.14788924, 0.04911914, -0.089370966, 0.072039425, -0.045207575, -0.06889737) * g_21; result += mat4(0.32740393, 0.1746514, -0.10657198, -0.021967173, -0.002292727, 0.15766911, -0.2148169, -0.024471002, 0.24356085, 0.039451532, 0.008314017, -0.09937661, 0.1613525, -0.2391406, -0.029003207, -0.0159854) * g_22; result += mat4(-0.16562004, 0.041117836, 0.19213973, -0.14429536, 0.30970034, -0.07554239, 0.029687773, -0.024070954, -0.08167974, -0.004404698, -0.03143552, 0.042981133, 0.06546435, 0.16990507, -0.21680567, 0.06390797) * g_23; result += mat4(-0.03591141, 0.020884542, 0.023933852, 0.022759074, -0.029971978, 0.11930571, -0.086772785, 0.19787759, 0.030405317, -0.13947894, 0.07441769, 0.00034632036, -0.07164358, 0.057664413, 0.37139198, 0.06278644) * g_24; result += mat4(-0.051113605, 0.05665, -0.020249806, 0.16835532, 0.05984608, -0.08224659, 0.12696908, 0.13570228, -0.068349294, -0.099196844, 0.120686345, 0.055186067, 0.07618209, -0.026192036, -0.14863594, 0.06333659) * g_25; result += mat4(0.058455057, -0.088729665, 0.15909332, -0.012666964, 0.10028206, 0.03833605, 0.13993295, 0.031959523, 0.096895166, -0.03811847, 0.13775149, 0.02438105, -0.2683284, 0.111006245, 0.10954929, 0.025493354) * g_26; result += mat4(-0.13692367, 0.14800175, 0.012824838, -0.071239576, 0.0888179, 0.22001815, -0.11865171, 0.069108665, -0.25402087, 0.10172734, 0.30485952, -0.067486994, 0.0008256393, 0.0869447, 0.22277334, 0.21455327) * g_27; result += vec4(0.028628629, 0.06234057, -0.040859535, 0.012304189); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv2d_27_tf //!BIND conv2d_27_tf1 //!BIND conv2d_27_tf2 //!BIND conv2d_27_tf3 //!SAVE conv2d_28_tf //!WIDTH conv2d_27_tf.w //!HEIGHT conv2d_27_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv2d_27_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv2d_27_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv2d_27_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max((conv2d_27_tf3_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv2d_27_tf_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv2d_27_tf1_texOff(vec2(x_off, y_off))), 0.0)) #define go_6(x_off, y_off) (max(-(conv2d_27_tf2_texOff(vec2(x_off, y_off))), 0.0)) #define go_7(x_off, y_off) (max(-(conv2d_27_tf3_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(-0.15947562, -0.08088179, -0.018287092, 0.07388169, 0.055656206, 0.012508511, -0.014822504, -0.026112063, -0.0355522, 0.21059254, -0.010861626, -0.12473264, -0.064066336, 0.05059408, 0.17477006, -0.013565353) * go_0(-1.0, -1.0); result += mat4(-0.21434227, 0.31677282, -0.03516674, 0.04986214, 0.05526597, 0.09660516, -0.14319508, 0.018978575, 0.22303632, -0.016273327, -0.007631538, 0.06443882, 0.05512332, -0.041881822, -0.08996631, -0.098337024) * go_0(-1.0, 0.0); result += mat4(0.00890349, -0.08083122, -0.18154235, 0.16016848, 0.036409512, -0.03464171, -0.066068955, -0.040363487, 0.011614476, -0.010766412, 0.115901425, -0.20064755, -0.046192054, 0.11930149, 0.14467944, -0.059644654) * go_0(-1.0, 1.0); result += mat4(0.11164375, 0.16459064, -0.09998619, -0.009961483, -0.04288467, 0.10108012, -0.10405018, -0.19669667, 0.052263748, 0.26811314, 0.1365987, -0.10233866, 0.16488834, 0.19555828, 0.071872376, 0.082796656) * go_0(0.0, -1.0); result += mat4(0.18249479, 0.11808829, -0.0022341073, -0.032062545, -0.11052209, -0.0013532481, 0.016538607, 0.08067115, 0.16962177, 0.07064662, -0.07810613, 0.010294429, 0.08434929, 0.10127592, -0.029486863, -0.3255432) * go_0(0.0, 0.0); result += mat4(-0.057793867, -0.0521884, 0.19243455, 0.02239359, -0.034333054, -0.07780034, -0.0073473672, -0.021267103, 0.06721728, -0.010699848, -0.046675183, -0.10781791, 0.0678299, -0.029241193, -0.110838145, -0.06508165) * go_0(0.0, 1.0); result += mat4(-0.081627466, -0.056206644, 0.057609815, 0.16809253, 0.09702448, -0.0006972214, -0.05335845, -0.12129932, -0.0002927597, -0.21934614, -0.037754383, -0.1519519, -0.2376217, 0.10211905, 0.13700108, -0.09431093) * go_0(1.0, -1.0); result += mat4(0.12006511, 0.0850924, 0.13144164, 0.16237107, 0.10096861, 0.0041175876, -0.106181756, 0.012646824, -0.049423195, 0.02854461, 0.0714631, -0.17928813, 0.12281949, -0.1653483, -0.12631613, -0.012995532) * go_0(1.0, 0.0); result += mat4(0.06719825, 0.04025362, 0.12805803, -0.051237866, -0.10915182, -0.012685345, -0.03332722, 0.043810077, 0.009768857, 0.030928867, -0.11797699, 0.06935517, 0.03960586, -0.054912154, 0.045409244, 0.024356317) * go_0(1.0, 1.0); result += mat4(-0.08003945, 0.02939059, 0.015871571, -0.08151104, 0.06888097, 0.028342148, 0.10520131, -0.061023485, 0.09831178, 0.16380575, 0.0023105524, -0.12040436, -0.031042974, -0.053848248, 0.009438444, 0.0266714) * go_1(-1.0, -1.0); result += mat4(-0.07136757, 0.100973204, -0.031054407, -0.073980935, -0.041895464, -0.021902626, 0.031108955, -0.052984156, -0.016130926, -0.050138965, 0.03813808, -0.05297753, -0.028289583, 0.031014593, 0.1843739, -0.035281647) * go_1(-1.0, 0.0); result += mat4(0.035933316, -0.00038015004, -0.027873661, -0.0069536613, 0.027045539, 0.037116226, 0.04525177, 0.006566634, -0.16384627, 0.07768526, -0.12624563, 0.024078595, 0.10769284, -0.11258107, -0.04982451, -0.065048374) * go_1(-1.0, 1.0); result += mat4(0.10052499, -0.13002421, -0.06633072, -0.042626563, -0.028949782, -0.14514183, 0.028552216, -0.0613498, 0.09384566, 0.09405732, -0.19158928, 0.03907308, -0.055615067, 0.23429433, 0.12803762, 0.04434819) * go_1(0.0, -1.0); result += mat4(0.00958813, -0.24705333, -0.16486292, 0.024874136, -0.12138014, 0.18079525, -0.10713273, -0.13516752, 0.055434603, -0.015806839, -0.09717939, -0.074068494, -0.08866701, 0.020300955, -0.0055264304, 0.04080965) * go_1(0.0, 0.0); result += mat4(-0.11120258, -0.07199271, -0.041486032, -0.14906478, -0.009233198, -0.09902689, -0.040275663, 0.017067345, -0.05086586, -0.17413498, -0.008183662, 0.009612443, -0.13408433, -0.1332188, 0.07127962, -0.10865638) * go_1(0.0, 1.0); result += mat4(-0.124843836, 0.0056214286, 0.13267992, -0.13429327, -0.016505916, 0.036799435, -0.038973354, 0.05537806, -0.0632161, -0.012454545, 0.038332634, -0.037685867, 0.04319443, 0.03322325, 0.042085703, 0.045762986) * go_1(1.0, -1.0); result += mat4(0.052202236, 0.05771732, 0.112385854, -0.01082042, -0.0767456, -0.08780617, 0.014997822, -0.08833972, -0.10664788, -0.061612513, -0.182838, 0.0851486, 0.16953877, -0.06382708, -0.022215927, -0.0051205694) * go_1(1.0, 0.0); result += mat4(0.13441062, 0.10117365, -0.016199887, 0.029254923, -0.02033548, -0.027186427, -0.045370664, -0.03122226, -0.001153141, -0.053417522, -0.08496941, 0.091859564, -0.1636657, 0.0686879, -0.0061219577, -0.0037164304) * go_1(1.0, 1.0); result += mat4(-0.08923701, -0.06655362, -0.010985764, 0.014604874, -0.011382496, 0.029907953, -0.056434274, 0.038744327, -0.028414777, 0.010007162, 0.0017349193, -0.10343906, 0.09191801, -0.09312238, -0.1496644, -0.07673135) * go_2(-1.0, -1.0); result += mat4(0.009483084, 0.01533923, -0.22572407, 0.025132898, -0.01963628, 0.17454073, -0.07573513, 0.039613944, 0.063608795, -0.13739005, -0.033944577, 0.16951281, 0.30629894, -0.079744816, -0.01866261, 0.039395563) * go_2(-1.0, 0.0); result += mat4(-0.08941336, 0.064974226, -0.028835427, 0.034915254, -0.086929224, 0.07687716, -0.0016284286, 0.0048973947, -0.002299835, -0.10146576, 0.15499033, -0.025811836, -0.11017588, -0.06646864, 0.2724957, -0.09787315) * go_2(-1.0, 1.0); result += mat4(0.013580617, 0.23512718, -0.13755204, -0.037683118, -0.10511493, -0.16309044, 0.028176483, 0.08306621, -0.10533476, 0.0006221558, 0.045089602, -0.15210447, 0.0020994823, -0.024207998, 0.0993523, 0.043464) * go_2(0.0, -1.0); result += mat4(0.030274704, 0.16225174, -0.04986216, -0.15224266, 0.0780463, -0.1532285, 0.10314128, -0.15185037, 0.10115252, -0.10087905, -0.09021414, -0.022275878, 0.20465703, 0.15299171, -0.029545499, 0.027562108) * go_2(0.0, 0.0); result += mat4(0.03635188, 0.14174621, 0.07811163, -0.007859945, 0.015667818, 0.04175609, 0.037054025, -0.21607552, 0.042083874, 0.012400608, -0.0031731343, 0.015451013, 0.14899978, -0.07175217, 0.10838928, -0.12669186) * go_2(0.0, 1.0); result += mat4(0.138536, 0.13425349, -0.034622706, -0.18623102, -0.053591244, 0.05831567, -0.16689397, 0.09646786, 0.014092155, 0.04367327, -0.09343583, -0.14990391, 0.07822869, -0.22536267, 0.099219, 0.23060338) * go_2(1.0, -1.0); result += mat4(-0.06164505, -0.092979245, -0.14336626, -0.07140663, 0.22376375, -0.047783352, -0.033338327, 0.1258366, -0.17924803, 0.041608956, 0.16306303, -0.10679489, -0.3030042, 0.0008420525, 0.12561269, -0.028834283) * go_2(1.0, 0.0); result += mat4(-0.054412913, 0.0090209665, 0.11719211, -0.05716453, 0.05383089, 0.02623724, -0.07349644, -0.01056252, 0.10699554, -0.09000459, 0.017828118, -0.07156624, -0.009086138, -0.17281768, 0.07362622, 0.059403386) * go_2(1.0, 1.0); result += mat4(-0.1389711, 0.10161683, 0.10497333, -0.1611381, -0.22583091, -0.01804936, 0.012043274, -0.07505929, 0.12483098, 0.120331906, 0.06568858, 0.048519757, 0.04878232, 0.1416424, 0.0067936247, -0.016330056) * go_3(-1.0, -1.0); result += mat4(-0.17665231, -0.027524196, 0.054338425, -0.019410258, -0.02451535, -0.101202436, 0.019439757, 0.054194063, 0.1374067, 0.18281725, 0.07622217, 0.02345311, 0.09478843, -0.2668885, -0.20737533, -0.038789343) * go_3(-1.0, 0.0); result += mat4(0.17850038, 0.015391434, 0.21261981, -0.07131195, -0.00017390228, -0.027140131, -0.03531777, 0.090994254, 0.018094057, 0.034828965, -0.03494625, 0.02909268, -0.1641662, 0.0061473413, 0.07393836, 0.012682216) * go_3(-1.0, 1.0); result += mat4(-0.042796552, 0.15346116, -0.09064195, -0.08746618, -0.060828637, -0.03820483, 0.011528973, 0.0398974, 0.09371729, -0.08625735, 0.014867914, 0.041555084, -0.08405399, 0.11065002, -0.08176266, -0.0624558) * go_3(0.0, -1.0); result += mat4(-0.16241768, -0.09944747, -0.20491481, 0.29889265, -0.12245448, -0.07481623, -0.12528926, 0.05751569, 0.0967851, 0.23937911, 0.35344538, -0.08789662, 0.12991858, -0.16209777, -0.28480273, -0.0014969984) * go_3(0.0, 0.0); result += mat4(-0.038093816, -0.12204375, 0.2872561, -0.01867348, -0.0422504, -0.027746195, 0.04692431, 0.19227293, 0.14287111, -0.14324081, -0.11081065, 0.023367552, -0.12073627, -0.13269602, -0.13918683, 0.08741606) * go_3(0.0, 1.0); result += mat4(0.0008481731, 0.05254276, -0.012691128, -0.036892317, -0.04046909, -0.17864129, 0.110876225, -0.058506776, 0.08640097, -0.006006924, 0.01067811, 0.111712374, -0.05587949, 0.09859872, 0.12326458, 0.03610263) * go_3(1.0, -1.0); result += mat4(0.01657765, 0.049353786, 0.023793655, -0.034767125, -0.0027143199, -0.10706169, 0.021599656, 0.028217005, 0.15949789, 0.018731484, -0.015067733, -0.008275501, -0.02608208, 0.09978389, -0.07528502, -0.11285119) * go_3(1.0, 0.0); result += mat4(0.0023038054, -0.106527835, 0.19298683, -0.007611592, 0.13164747, 0.019736541, 0.0677005, 0.12425515, 0.16268487, -0.096461184, 0.12743223, -0.08677306, -0.029261615, -0.041135672, 0.080600925, -0.0044985185) * go_3(1.0, 1.0); result += mat4(-0.012212633, -0.008135249, 0.0214631, -0.15218979, 0.036934953, 0.013742649, 0.005994283, -0.0283032, 0.0729484, -0.052409716, -0.06420768, 0.0810027, 0.04289635, -0.05979256, -0.011123965, 0.07240212) * go_4(-1.0, -1.0); result += mat4(0.078602165, -0.11064885, -0.032745726, -0.041563403, -0.07760515, 0.030799344, -0.009528405, 0.07102139, -0.078211874, -0.006511505, 0.022323601, -0.09159505, -0.09717384, -0.038415562, 0.15776964, -0.122952245) * go_4(-1.0, 0.0); result += mat4(-0.02998448, 0.06617301, -0.1833567, -0.05996888, 0.025792658, 0.04538328, -0.013383254, -0.058839086, -0.036489535, 0.057810433, 0.03386236, 0.06538946, 0.02562387, -0.08336547, -0.119194515, 0.060269345) * go_4(-1.0, 1.0); result += mat4(-0.20298807, -0.13135706, -0.025793612, 0.021387653, 0.1594905, -0.3369618, 0.041246038, -0.050120838, 0.026487157, -0.029691057, -0.0034613493, 0.016325768, -0.117200464, -0.016574007, -0.073803775, -0.089975685) * go_4(0.0, -1.0); result += mat4(-0.026254926, 0.0261122, 0.018618183, 0.0005632939, -0.12340781, -0.05991391, -0.04475039, 0.1659745, -0.24145639, -0.20355274, 0.041455634, -0.116840735, -0.1283876, 0.08542697, 0.013275747, 0.0501509) * go_4(0.0, 0.0); result += mat4(-0.21312153, -0.04829575, -0.10153613, -0.0059257764, 0.0841976, -0.026371231, -0.20159246, -0.0045467755, -0.02141211, -0.027177462, -0.05251507, 0.032135133, 0.03804446, 0.11620451, -0.14313346, 0.077155955) * go_4(0.0, 1.0); result += mat4(-0.04649696, -0.098621555, -0.10055518, 0.015795136, -0.066809125, -0.19873013, -0.0143966265, 0.03701971, -0.096805796, 0.028184278, -0.026889013, 0.087746136, 0.093570195, -0.05271505, -0.07302158, 0.06451506) * go_4(1.0, -1.0); result += mat4(-0.019860215, 0.014821476, 0.020452866, 0.019750455, -0.0030268016, 0.09721972, 0.07985887, -0.22953773, -0.023093862, -0.0340788, -0.020107787, 0.14696716, -0.0014956049, 0.10684638, 0.054514356, -0.026299406) * go_4(1.0, 0.0); result += mat4(-0.0034259602, 0.11406219, 0.08309113, -0.05666143, 0.03997147, -0.015962245, -0.073703386, -0.081422284, -0.03811221, -0.018108517, -0.019545924, -0.09374689, 0.0068907975, 0.06288586, -0.048148807, -0.04641091) * go_4(1.0, 1.0); result += mat4(0.12786785, 0.036925547, 0.040049516, -0.014098288, 0.17151223, 0.36029485, -0.13981305, 0.048408832, 0.15681522, -0.1718675, 0.18053555, -0.06154547, 0.20234902, 0.1841377, -0.13541229, -0.12686929) * go_5(-1.0, -1.0); result += mat4(-0.02641306, -0.17226298, -0.049888287, 0.02733204, -0.06390068, 0.080012724, -0.1844924, -0.03414821, 0.034385405, -0.24899785, 0.059214547, 0.049595583, 0.32104456, 0.03666073, -0.40136093, -0.2774759) * go_5(-1.0, 0.0); result += mat4(0.06761573, 0.06869232, -0.031510808, -0.02438944, 0.22487356, -0.16531369, 0.06668078, 0.09660918, 0.13721283, 0.07903948, -0.019157205, 0.1531542, 0.013938849, 0.07697017, -0.002420862, -0.08119872) * go_5(-1.0, 1.0); result += mat4(-0.010843206, 0.25370562, 0.13776681, 0.038852032, 0.23986198, 0.090098, -0.1396168, -0.12940928, 0.09821576, -0.13444738, 0.03958645, 0.11936621, -0.25258994, -0.21582375, -0.025724072, 0.15234376) * go_5(0.0, -1.0); result += mat4(0.070284896, -0.06296459, 0.020593662, 0.05657614, -0.10773026, 0.05970744, 0.19839187, 0.053335343, -0.10290972, -0.07925142, -0.09702071, 0.06671608, -0.3317127, 0.038721535, 0.03681229, 0.0022030612) * go_5(0.0, 0.0); result += mat4(-0.28498635, -0.025289027, 0.2521193, -0.008358809, 0.24523476, 0.07953551, 0.018755028, -0.04277334, 0.15404665, 0.29997438, 0.25203288, 0.16347292, -0.16057658, -0.09382131, 0.01644382, 0.09579976) * go_5(0.0, 1.0); result += mat4(0.071044005, 0.1663978, -0.1300318, 0.016336136, 0.06899086, -0.017043045, 0.059462104, 0.06477385, 0.14695822, -0.108211465, 0.065641776, 0.14722472, 0.06779434, 0.16995609, 0.07928397, -0.033719063) * go_5(1.0, -1.0); result += mat4(0.14180346, -0.08487177, -0.22468328, -0.28223032, 0.2663465, 0.09390156, 0.06763305, -0.046421945, 0.06267927, 0.0894823, 0.03797196, 0.2289057, 0.3531273, -0.10896449, -0.089124285, -0.3782578) * go_5(1.0, 0.0); result += mat4(-0.15362668, -0.059429795, 0.10730699, 0.021013413, 0.087347016, -0.016410518, -0.14467601, 0.05059625, 0.12102463, 0.05886046, 0.25740236, -0.03717858, 0.24515876, -0.070637345, -0.38044232, 0.0013522268) * go_5(1.0, 1.0); result += mat4(0.012790849, -0.166835, -0.006531994, 0.042859472, -0.02351418, 0.11851938, -0.049062908, -0.041576426, 0.107786864, -0.10980972, -0.033116184, 0.10939468, -0.054141134, -0.027854247, 0.04713376, 0.19246055) * go_6(-1.0, -1.0); result += mat4(0.053805664, 0.061061755, 0.047100965, -0.055740997, 0.040054057, 0.051985312, -0.09923848, -0.0043354537, 0.036915418, 0.106524564, -0.123563565, 0.07750848, -0.07408784, -0.05061668, 0.14600709, -0.0011608404) * go_6(-1.0, 0.0); result += mat4(0.015910039, -0.10548236, -0.031279977, -0.034638315, 0.04358979, -0.0437478, -0.014834915, 0.024732169, -0.12387502, -0.04822137, -0.0058700144, 0.137929, 0.11366931, 0.08035957, -0.039935917, 0.04603123) * go_6(-1.0, 1.0); result += mat4(0.067911685, -0.21775192, -0.06257909, 0.17257555, 0.06932743, -0.071969435, -0.20456699, 0.04594583, 0.018453049, -0.030035174, -0.05827126, 0.0392995, 0.12435702, -0.17315, 0.0020754808, -0.097234495) * go_6(0.0, -1.0); result += mat4(-0.10112962, 0.091169335, 0.14931187, -0.05483266, 0.08175559, -0.21881811, -0.015723187, 0.07526295, -0.057499725, 0.27330843, -0.015584234, -0.23729184, -0.14506966, 0.071909845, -0.043688543, -0.04695626) * go_6(0.0, 0.0); result += mat4(0.19304496, 0.024671676, 0.038902644, 0.0057927696, 0.13977169, 0.073270485, 0.14490373, -0.013279762, -0.04328375, 0.04363379, -0.18776916, 0.15290104, -0.066608734, 0.19611324, 0.030080872, -0.04369692) * go_6(0.0, 1.0); result += mat4(0.11470921, 0.01983352, -0.03216828, 0.060058292, -0.08319119, -0.07164264, -0.03740158, -0.07463614, -0.1341556, 0.02926277, 0.042769387, 0.13030067, 0.059393533, -0.023748767, -0.06477902, -0.10475805) * go_6(1.0, -1.0); result += mat4(0.06713004, 0.039320715, 0.07987435, -0.1279802, 0.04430574, -0.09668574, -0.13146797, 0.1951853, -0.09523301, 0.11162048, -0.13835515, 0.10653133, 0.07065633, 0.0017156269, 0.13809821, -0.11227813) * go_6(1.0, 0.0); result += mat4(0.03737181, -0.060822956, 0.0764333, -0.04455623, -0.05858187, -0.042540766, 0.2450857, 0.017118182, -0.2140229, 0.06681126, -0.035818823, 0.1897005, -0.050493807, 0.039831277, -0.08647933, -0.05456818) * go_6(1.0, 1.0); result += mat4(-0.15794586, -0.11317517, -0.1907949, 0.035243902, 0.18495446, -0.17711106, 0.07466123, 0.3298434, -0.0538802, 0.17223665, -0.069161914, -0.04879663, -0.010941854, -0.09529097, -0.11374602, 0.1033947) * go_7(-1.0, -1.0); result += mat4(0.053542875, -0.21014826, -0.021240313, -0.047701992, 0.035403203, 0.11726055, -0.09277544, 0.16033384, -0.06536819, -0.23121049, 0.0709867, -0.026250783, 0.024801381, 0.00938287, -0.22030483, 0.10098934) * go_7(-1.0, 0.0); result += mat4(0.040862054, -0.07635868, -0.09437051, -0.073567204, 0.007394331, 0.045258503, -0.025171619, 0.09097832, 0.0784184, -0.11744521, 0.09245911, -0.05398139, -0.046311557, 0.11720031, -0.06057511, 0.07124993) * go_7(-1.0, 1.0); result += mat4(0.15672357, -0.11742975, 0.019319033, -0.11931374, -0.0730905, 0.113809146, 0.046025384, 0.260786, -0.070096426, -0.041467544, -0.17180398, -0.03536039, -0.0053026676, 0.19283321, -0.01242331, -0.046671648) * go_7(0.0, -1.0); result += mat4(0.086352795, -0.046984054, 0.041676264, -0.093268044, -0.07467304, 0.10683198, -0.09286945, 0.00065939245, -0.023186311, -0.13480976, -0.18541805, 0.066650435, 0.17785572, 0.28285432, 0.09380002, 0.2742215) * go_7(0.0, 0.0); result += mat4(-0.03759045, 0.008394068, -0.029834675, -0.054245055, 0.19929428, -0.028139526, 0.0011271539, 0.08023337, 0.10857946, 0.023008484, 0.10093405, -0.0025674875, -0.013412711, 0.124299355, 0.18966118, -0.0086889155) * go_7(0.0, 1.0); result += mat4(-0.008154784, 0.026771648, -0.029822685, -0.12304668, 0.19175382, 0.038344804, -0.19244587, 0.19586428, 0.051759414, 0.051479038, 0.064044714, 0.024556635, -0.05735499, 0.104564175, -0.17250918, 0.042381) * go_7(1.0, -1.0); result += mat4(-0.03705795, -0.07241511, -0.034249566, 0.026843162, 0.098695345, -0.06264949, 0.006197871, 0.18656683, 0.17142834, 0.020342348, 0.0030491548, 0.13260534, 0.07432505, -0.019298749, 0.018334575, 0.04731813) * go_7(1.0, 0.0); result += mat4(-0.054331694, -0.027947709, -0.11864076, 0.00814441, 0.028038671, -0.08349308, -0.07054119, -0.07497779, 0.040611267, 0.13121551, 0.118467994, -0.08134059, 0.015859429, -0.2187738, 0.00034174693, -0.00010865687) * go_7(1.0, 1.0); result += vec4(0.0029036424, -0.026140884, 0.029428842, 0.022368915); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x120 //!HOOK MAIN //!BIND conv2d_27_tf //!BIND conv2d_27_tf1 //!BIND conv2d_27_tf2 //!BIND conv2d_27_tf3 //!BIND conv2d_26_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!BIND conv2d_22_tf //!BIND conv2d_25_tf //!BIND conv2d_28_tf //!SAVE conv0ups //!WIDTH conv2d_27_tf.w //!HEIGHT conv2d_27_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_27_tf_tex(conv2d_27_tf_pos)), 0.0)) #define g_1 (max((conv2d_27_tf1_tex(conv2d_27_tf1_pos)), 0.0)) #define g_2 (max((conv2d_27_tf2_tex(conv2d_27_tf2_pos)), 0.0)) #define g_3 (max((conv2d_27_tf3_tex(conv2d_27_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_27_tf_tex(conv2d_27_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_27_tf1_tex(conv2d_27_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_27_tf2_tex(conv2d_27_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_27_tf3_tex(conv2d_27_tf3_pos)), 0.0)) #define g_8 (max((conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_24 (max((conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_25 (max(-(conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_26 (max((conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) #define g_27 (max(-(conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) #define g_28 (max((conv2d_28_tf_tex(conv2d_28_tf_pos)), 0.0)) #define g_29 (max(-(conv2d_28_tf_tex(conv2d_28_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.24869502, -0.09899225, -0.43790483, 0.20478724, -0.1164636, -0.064487524, 0.19679324, -0.1449572, -0.15371573, -0.3400212, -0.21963254, 0.20369855, -0.2367356, 0.2477112, 0.35358265, -0.10717059) * g_0; result += mat4(0.008394252, -0.07444383, -0.21260554, -0.0109387245, -0.12783004, -0.046684895, -0.09459239, 0.15685712, -0.0650475, -0.17689607, 0.28597033, -0.14768666, -0.24485432, 0.11102652, 0.0016650548, 0.0335556) * g_1; result += mat4(-0.15471542, -0.055397827, 0.031601153, 0.12807971, 0.098534405, -0.078548655, -0.07627781, -0.045002084, -0.1607132, 0.22467372, 0.05354091, 0.14046556, 0.08950414, -0.11074417, -0.18164189, -0.062829755) * g_2; result += mat4(0.23552504, 0.106547005, 0.06353197, -0.12771529, 0.063815214, 0.0037739186, 0.13750316, -0.15964629, -0.13540323, 0.03661145, 0.1579406, -0.04318756, -0.23223858, -0.019027008, 0.14158043, -0.0981457) * g_3; result += mat4(-0.20985286, 0.006259769, 0.22924383, -0.14908646, 0.10981303, 0.09701522, -0.138446, 0.098020315, 0.1012965, 0.17753434, 0.03191124, -0.009315684, 0.15640236, -0.18660188, -0.108241856, 0.28092933) * g_4; result += mat4(-0.18514358, 0.020193081, 0.074342795, -0.20483983, 0.07773761, -0.0021120405, 0.1360036, -0.03176111, -0.032519307, 0.23044188, -0.0123683, 0.1398906, -0.057560008, 0.054931078, -0.09207622, -0.10482956) * g_5; result += mat4(0.042022258, 0.08705893, 0.04855544, -0.0702546, 0.09140309, -0.20014158, 0.08858101, 0.10530784, -0.17869075, -0.18289891, -0.06009552, -0.017472578, -0.12561706, 0.1241771, 0.10055958, 0.06711715) * g_6; result += mat4(0.11081939, 0.14038336, 0.086475745, 0.008545714, -0.09676236, 0.10120412, 0.018717231, 0.083903596, -0.010204144, 0.19445705, 0.08198393, -0.07868833, 0.16800411, 0.24233866, -0.14174843, 0.0127538135) * g_7; result += mat4(-0.07677055, -0.08069778, -0.19520187, 0.0811833, 0.16050573, 0.04002321, -0.062625214, 0.066150546, -0.0071385102, 0.15346812, 0.22585835, 0.017887173, 0.10958369, -0.27262884, -0.07289562, -0.13642263) * g_8; result += mat4(-0.20320824, 0.04060682, -0.045050982, -0.08530543, -0.15681775, 0.029664317, 0.040110916, -0.110328145, -0.115784444, -0.0010324386, -0.14814855, -0.05750071, -0.09158797, -0.05191994, -0.010077932, 0.010735767) * g_9; result += mat4(0.013956532, 0.10945481, 0.17186755, 0.085150324, -0.041226313, 0.12950367, 0.06430863, -0.13105504, 0.10078111, -0.25535673, 0.20490831, -0.18107158, 0.08253922, -0.2122405, 0.03085494, 0.046983067) * g_10; result += mat4(0.13400763, -0.33241597, -0.14590304, -0.07548988, -0.025087558, -0.09831733, -0.12063487, 0.12294168, -0.04194301, 0.5016058, -0.19878705, 0.2325771, -0.025853388, -0.113362834, 0.03071806, -0.043046314) * g_11; result += mat4(-0.24234526, 0.099842645, -0.123794004, 0.029319491, -0.06591831, 0.06859657, -0.04656591, 0.035922993, -0.15371624, -0.16684091, -0.13712381, -0.13332178, -0.012874865, -0.07265817, -0.13294667, 0.068372235) * g_12; result += mat4(0.337884, -0.053065576, 0.039201297, -0.3255975, -0.09653937, -0.08532608, 0.004564532, -0.064255305, -0.09196097, -0.064501986, 0.05946096, -0.065822385, 0.04373292, 0.18320732, 0.17107227, -0.09376649) * g_13; result += mat4(-0.1266736, -0.110596545, 0.06749142, 0.18791346, 0.3654019, 0.112833284, 0.05675392, -0.19131362, -0.05568984, 0.19247374, 0.102835864, 0.14997408, 0.31664333, -0.10273057, 0.1727324, 0.15486372) * g_14; result += mat4(0.3434959, 0.023886908, 0.031930014, 0.03582181, 0.005240771, 0.111360535, -0.19078243, 0.0100272475, 0.09107635, -0.008016216, -0.12759027, 0.10675808, -0.08348867, -0.09646617, -0.2607706, 0.018178092) * g_15; result += mat4(0.079807304, -0.05459316, 0.14646025, 0.044402126, 0.18155368, 0.030484838, -0.23650324, 0.050629415, -0.054936387, 0.24929616, -0.026216682, -0.027678574, 0.14901243, 0.00799581, -0.056854505, -0.2847785) * g_16; result += mat4(0.07668182, -0.090308845, 0.1426231, -0.076727286, 0.04532857, 0.41972977, 0.045198783, -0.2889559, 0.09463711, -0.115024, 0.12064761, -0.078441106, -0.0979431, 0.16587363, 0.034756947, 0.0819575) * g_17; result += mat4(0.02658691, 0.018619051, 0.10987584, -0.11632582, -0.097673975, -0.060380448, -0.048393946, -0.12066081, -0.08383298, 0.07522811, 0.00046106262, 0.056841437, 0.18688548, 0.2500605, 0.067883015, -0.0678706) * g_18; result += mat4(0.1660567, -0.18025756, -0.054567352, 0.06485854, 0.04710402, 0.10155829, -0.02514125, 0.18412691, 0.11272706, -0.078927964, 0.06751576, -0.10286652, -0.13830543, -0.117058784, 0.005188935, -0.06942043) * g_19; result += mat4(0.23703721, 0.10277758, 0.000754122, -0.029695567, -0.21699485, -0.20323198, 0.052537125, -0.23201968, -0.08901256, 0.14734636, -0.034757435, -0.0005979487, 0.44525814, 0.19301082, 0.6464728, -0.08360051) * g_20; result += mat4(-0.016849566, -0.17056245, -0.15224437, 0.09874574, 0.2365518, 0.13848515, -0.06262627, 0.030512452, 0.13390404, -0.17578915, 0.052553993, -0.0754797, 0.13499588, -0.091364816, -0.14214903, 0.012343283) * g_21; result += mat4(0.0444748, -0.120922156, -0.102585696, -0.029410962, 0.16525646, -0.003036487, 0.019754846, 0.10904324, -0.2154087, -0.08718995, 0.018755833, 0.03948844, -0.14803186, -0.2644333, 0.038109586, 0.16415441) * g_22; result += mat4(-0.11955258, 0.12032012, -0.0071599633, -0.08183172, 0.07993607, 0.15545094, -0.13790582, -0.12963726, 0.03992126, 0.013114452, -0.021836942, 0.06938646, 0.05713335, -0.14334689, 0.065875866, -0.15222839) * g_23; result += mat4(0.09515674, -0.28844547, 0.053185515, 0.03400144, 0.046243384, 0.06073404, -0.028122557, -0.14269671, 0.076097876, -0.25685546, -0.11053011, 0.0016753314, -0.061829623, 0.17545372, -0.073774636, 0.14134389) * g_24; result += mat4(0.09274064, 0.008774846, 0.01753719, 0.055378035, 0.070933565, -0.07643164, -0.03130691, 0.010624368, 0.08057614, 0.15103199, 0.16212596, -0.043121286, 0.024918344, 0.022077331, 0.12973905, -0.047122702) * g_25; result += mat4(-0.039035242, -0.05109422, 0.04064944, 0.046009026, -0.10690486, -0.072981425, -0.06059992, 0.16443883, 0.053239647, -0.049664095, -0.008035011, -0.047280237, -0.09541798, 0.044453926, -0.05769298, -0.054406438) * g_26; result += mat4(-0.07007281, 0.020636436, 0.21988238, 0.063351706, 0.23330332, 0.06405405, 0.09269646, 0.0076492154, -0.2956097, 0.04427142, 0.13951525, -0.0067400783, 0.094238706, -0.065390944, 0.11663461, 0.16150263) * g_27; result += mat4(-0.03655699, -0.066461764, 0.34125957, 0.0070882593, -0.051099982, -0.12373787, 0.05673152, 0.23672515, 0.0058079516, -0.0047331564, 0.17873889, 0.16574454, -0.17263038, 0.057122417, 0.21407363, -0.25284353) * g_28; result += mat4(-0.023008676, 0.11895382, -0.19360733, -0.11461752, -0.20733164, 0.068803884, -0.17845476, -0.10232586, -0.17705148, -0.021452963, -0.11692596, -0.02887165, 0.07515101, -0.049837537, 0.0055611697, -0.04965812) * g_29; result += vec4(0.046915848, 0.0039697043, 0.017740238, 0.02036365); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x120 //!HOOK MAIN //!BIND conv2d_27_tf //!BIND conv2d_27_tf1 //!BIND conv2d_27_tf2 //!BIND conv2d_27_tf3 //!BIND conv2d_26_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!BIND conv2d_22_tf //!BIND conv2d_25_tf //!BIND conv2d_28_tf //!SAVE conv0ups1 //!WIDTH conv2d_27_tf.w //!HEIGHT conv2d_27_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_27_tf_tex(conv2d_27_tf_pos)), 0.0)) #define g_1 (max((conv2d_27_tf1_tex(conv2d_27_tf1_pos)), 0.0)) #define g_2 (max((conv2d_27_tf2_tex(conv2d_27_tf2_pos)), 0.0)) #define g_3 (max((conv2d_27_tf3_tex(conv2d_27_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_27_tf_tex(conv2d_27_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_27_tf1_tex(conv2d_27_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_27_tf2_tex(conv2d_27_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_27_tf3_tex(conv2d_27_tf3_pos)), 0.0)) #define g_8 (max((conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_24 (max((conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_25 (max(-(conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_26 (max((conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) #define g_27 (max(-(conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) #define g_28 (max((conv2d_28_tf_tex(conv2d_28_tf_pos)), 0.0)) #define g_29 (max(-(conv2d_28_tf_tex(conv2d_28_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.20925894, 0.104857735, -0.40466902, 0.0584133, -0.14659958, -0.036843687, 0.13835002, -0.2415225, -0.17522843, 0.11434039, -0.20046623, 0.16023546, 0.2475015, 0.042058993, 0.002350279, -0.17032729) * g_0; result += mat4(0.11970422, -0.10322249, -0.070675366, 0.06804973, 0.079779394, -0.016731435, 0.04715111, 0.13588014, 0.14615758, 0.022396626, -0.18744521, 0.03337888, -0.048930615, 0.17753999, 0.08515489, -0.27303153) * g_1; result += mat4(-0.044238064, -0.044585355, -0.4703711, 0.17369467, -0.22562256, 0.003894716, 0.2256651, -0.103996016, 0.007853871, 0.14751841, -0.05668432, 0.07511469, 0.1619497, -0.020217957, -0.090126194, -0.16162491) * g_2; result += mat4(-0.12567434, -0.04298686, 0.12304879, -0.16227202, -0.008668434, 0.15376252, -0.1295699, -0.07683395, 0.046303485, -0.012221398, 0.0038834864, -0.09826842, 0.12768197, 0.18517894, -0.18903579, -0.19901276) * g_3; result += mat4(0.17195696, -0.17648453, 0.19818112, -0.023518814, 0.09163597, -0.0049098246, -0.11661733, 0.016902868, 0.060930923, -0.01878846, 0.11788164, -0.1353775, -0.08755757, 0.014184077, 0.16375954, -0.06450589) * g_4; result += mat4(-0.0034882906, 0.27027172, -0.08576453, -0.2118125, -0.086501405, 0.010157458, -0.2640269, -0.046359222, 0.028317366, -0.16451906, 0.12050226, -0.053686112, -0.10052837, 0.096894056, 0.16462097, 0.094494134) * g_5; result += mat4(-0.05727481, -0.013227722, 0.21700768, -0.07177067, 0.033377443, -0.0545755, 0.027782457, 0.2090808, 0.011714184, -0.010148169, -0.18692647, -0.2786883, 0.23827875, 0.0011900894, 0.08619064, 0.14836025) * g_6; result += mat4(0.16917573, 0.21033037, -0.0050825966, 0.18095241, -0.029595587, -0.32528213, 0.20749976, 0.15824726, 0.01744845, -0.18352279, -0.19498493, 0.024413247, -0.017869025, -0.12914586, 0.021449931, -0.019033303) * g_7; result += mat4(0.050177246, -0.023704303, 0.0017737169, 0.022661313, 0.007864253, 0.0176497, -0.16047522, 0.10303941, 0.2444177, 0.41632912, 0.00715035, -0.18481494, 0.05252633, 0.006689579, 0.13945661, -0.018428788) * g_8; result += mat4(-0.0941601, 0.048248548, 0.16638602, 0.041016433, 0.0026687274, 0.019066641, 0.08475801, -0.09578143, -0.10059114, -0.29335198, 0.017439498, 0.11830718, -0.054326836, -0.11888715, -0.04045584, 0.073335744) * g_9; result += mat4(-0.13832748, 0.21032946, 0.31014842, 0.17925423, -0.063551836, -0.1199703, 0.16982867, 0.016346592, -0.025109967, -0.022150239, -0.37054747, -0.49025953, 0.14235863, 0.06635017, 0.002241298, 0.0040627583) * g_10; result += mat4(-0.13018467, -0.0144080445, -0.16799062, -0.1249275, -0.12707768, 0.07865254, 0.038435075, 0.1667798, 0.09192991, -0.03252081, 0.7629332, 0.48081362, -0.00011961902, 0.058554083, 0.11982404, 0.1822051) * g_11; result += mat4(-0.06755234, -0.0075415038, -0.14266185, 0.12655805, -0.0045153988, 0.0048743295, -0.008591593, 0.056268115, 0.024279088, -0.0629758, -0.14188884, -0.025769057, 0.15646881, -0.14415343, -0.22970784, -0.037042253) * g_12; result += mat4(0.25852588, 0.017387692, 0.13789654, -0.019787727, -0.11308935, 0.16850404, -0.2373339, -0.04899185, 0.17354745, -0.09472497, -0.21602263, -0.21760805, -0.020826988, 0.16989823, 0.0741717, -0.10448863) * g_13; result += mat4(-0.18604822, 0.009787992, -0.06459633, 0.052285228, -0.14829153, 0.075823255, -0.111874774, -0.09117474, 0.03208986, 0.021619327, 0.30147213, 0.13760304, 0.12453839, -0.016333232, 0.094405904, 0.0878566) * g_14; result += mat4(0.14507103, 0.07554785, 0.03146559, 0.045327432, -0.051290758, 0.039846797, 0.114740096, 0.26464698, -0.1658753, -0.12688372, -0.179181, -0.0732476, -0.031645183, -0.02680665, -0.17883217, -0.061550755) * g_15; result += mat4(0.08742578, -0.14921658, -0.008039882, 0.032061443, -0.17833516, -0.23691227, -0.14369945, -0.017769985, 0.065309726, 0.038026232, 0.23837644, 0.005659167, -0.20681982, 0.061288934, 0.080895506, -0.067547865) * g_16; result += mat4(-0.19850676, -0.015734296, 0.018384686, 0.020779416, 0.1471408, 0.26202065, 0.05143831, -0.18096192, -0.14602786, 0.027607052, -0.22484896, -0.08151626, 0.11529563, 0.1390684, -0.16282271, -0.012490131) * g_17; result += mat4(-0.048379734, -0.041772716, -0.0041537993, 0.21717072, 0.10138077, -0.12603214, -0.18361042, 0.049941633, 0.1703956, 0.11111548, 0.12635674, 0.06445028, -0.08243661, 0.06709483, 0.046443917, 0.10167419) * g_18; result += mat4(-0.035105225, 0.06199828, 0.0020574334, -0.011254863, -0.047805354, 0.1722725, 0.08265051, 0.049911566, -0.17403728, 0.02808134, -0.16923027, -0.023735922, -0.008281012, -0.093713865, -0.07359882, 0.048530914) * g_19; result += mat4(0.020626063, 0.008559935, -0.023751533, 0.103401795, 0.17920512, 0.042976495, -0.12651409, -0.114272855, 0.0033929124, -0.031355213, 0.08776122, -0.22491921, 0.2031401, 0.2379429, 0.28060517, -0.0007719008) * g_20; result += mat4(0.026417585, 0.17757705, -0.043824922, 0.028119845, -0.04151611, 0.054795753, 0.0028165078, 0.00073246437, 0.1412875, 0.21982361, -0.087146886, 0.10897306, -0.11245943, -0.14196636, -0.052475058, 0.037263144) * g_21; result += mat4(0.18080506, 0.15489496, 0.022035526, 0.061552692, 0.090489246, 0.0372591, -0.076371096, 0.09855082, 0.12062604, -0.11851761, -0.091217645, -0.0456572, -0.15227035, 0.19842634, -0.25994444, 0.0014280345) * g_22; result += mat4(-0.004529129, 0.00022631227, 0.13502745, -0.062293727, 0.0070622144, 0.14676675, 0.053662084, 0.072721094, -0.02548614, -0.13910522, -0.042703785, 0.03434115, 0.14548635, 0.009612174, -0.101212025, 0.18954988) * g_23; result += mat4(0.0022483568, -0.08712446, 0.10486132, 0.26073435, -0.00852917, -0.09080537, 0.10038895, -0.105297185, 0.07585101, -0.17707159, -0.20059243, -0.0673406, 0.08531025, 0.13096005, 0.057341557, -0.13544896) * g_24; result += mat4(-0.0006035619, 0.09268198, -0.016875379, -0.14467251, 0.009340458, -0.101583, 0.057097267, 0.112552926, -0.07803109, 0.3324704, 0.033041988, 0.077711694, -0.037180506, 0.0757784, 0.081892945, 0.123966664) * g_25; result += mat4(-0.057247143, -0.03035935, -0.03899445, 0.19533473, 0.009087412, -0.075170524, 0.0023444563, -0.041517466, -0.037251793, 0.012194933, -0.073488355, 0.1223987, -0.18770866, 0.031678624, 0.015153505, -0.13081336) * g_26; result += mat4(0.052989263, -0.0714155, -0.12801231, -0.05954568, -0.02600527, 0.12803787, -0.019737625, 0.11588791, 0.13464773, -0.07630486, 0.054382257, -0.2291579, 0.042531025, -0.046213683, 0.09142889, -0.020872064) * g_27; result += mat4(0.14624128, -0.09307583, -0.18519302, -0.010523176, -0.042090297, -0.039113797, -0.17932849, 0.1574002, 0.042603053, 0.18812989, -0.061091296, 0.084948115, -0.11052512, 0.11764443, -0.13139613, 0.15068875) * g_28; result += mat4(-0.052416, 0.011094299, 0.13501611, -0.052369393, -0.02655924, -0.10207045, 0.02851461, -0.13901424, 0.034044232, -0.22422798, 0.006999936, 0.004138137, 0.15997367, -0.12716383, 0.025097579, -0.23885375) * g_29; result += vec4(0.02927894, 0.051008213, -0.011481529, -0.038922433); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x120 //!HOOK MAIN //!BIND conv2d_27_tf //!BIND conv2d_27_tf1 //!BIND conv2d_27_tf2 //!BIND conv2d_27_tf3 //!BIND conv2d_26_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!BIND conv2d_22_tf //!BIND conv2d_25_tf //!BIND conv2d_28_tf //!SAVE conv0ups2 //!WIDTH conv2d_27_tf.w //!HEIGHT conv2d_27_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_27_tf_tex(conv2d_27_tf_pos)), 0.0)) #define g_1 (max((conv2d_27_tf1_tex(conv2d_27_tf1_pos)), 0.0)) #define g_2 (max((conv2d_27_tf2_tex(conv2d_27_tf2_pos)), 0.0)) #define g_3 (max((conv2d_27_tf3_tex(conv2d_27_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_27_tf_tex(conv2d_27_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_27_tf1_tex(conv2d_27_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_27_tf2_tex(conv2d_27_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_27_tf3_tex(conv2d_27_tf3_pos)), 0.0)) #define g_8 (max((conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_24 (max((conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_25 (max(-(conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_26 (max((conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) #define g_27 (max(-(conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) #define g_28 (max((conv2d_28_tf_tex(conv2d_28_tf_pos)), 0.0)) #define g_29 (max(-(conv2d_28_tf_tex(conv2d_28_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(-0.023159716, -0.06445511, -0.13444243, -0.3029728, 0.09424871, 0.046222795, 0.1665773, 0.0054540136, 0.108596064, -0.034167033, 0.09486344, -0.06652879, -0.12501813, 0.29003936, -0.001826413, 0.4086747) * g_0; result += mat4(0.17339195, -0.12188165, -0.11409943, -0.08955709, 0.08390357, 0.15925337, 0.10573395, -0.044203065, -0.1956127, 0.062437166, -0.055394087, 0.21211234, -0.05303983, 0.08320662, 0.03260874, 0.085122004) * g_1; result += mat4(0.050840195, -0.0882688, -0.37795234, -0.21878824, 0.0823033, 0.001571019, -0.086516365, -0.032059066, 0.031085746, -0.26207578, 0.03567986, -0.15979347, -0.123573, -0.041428905, -0.07892891, 0.111200064) * g_2; result += mat4(0.118134536, 0.0017017128, 0.06084789, 0.13862696, -0.004776377, -0.022721525, -0.12781031, 0.023450686, -0.20167245, -0.014491597, -0.32268152, 0.041146316, -0.08904564, 0.13891083, 0.026140563, 0.053664643) * g_3; result += mat4(-0.014918813, -0.11442104, 0.0741294, 0.20350552, -0.024969127, -0.04713554, -0.09463233, -0.06777642, -0.15385136, 0.09367639, -0.18212073, -0.12458825, -0.11280945, -0.12408857, 0.056655087, -0.097056136) * g_4; result += mat4(-0.09134359, 0.42729822, 0.13041808, 0.22597447, -0.06003689, -0.017370071, -0.12883402, 0.027216416, 0.029739086, -0.0060472586, 0.00443273, -0.07316318, -0.046336673, -0.21877831, 0.020554282, 0.1732762) * g_5; result += mat4(0.12951167, 0.05868595, 0.23511209, -0.06839014, -0.13673079, -0.11585807, -0.17553164, -0.1661913, 0.03966464, 0.17386018, -0.11228396, -0.050033193, 0.13843036, 0.03351075, 0.14025663, -0.25514498) * g_6; result += mat4(-0.038775686, -0.04935347, -0.038891345, -0.019735469, 0.07429314, -0.0223186, 0.077693924, 0.15711477, 0.2130033, 0.19355707, 0.16412027, 0.06635085, 0.038207706, 0.06053999, -0.12567896, -0.007636511) * g_7; result += mat4(0.09569034, -0.010271957, 0.03721736, -0.15505005, -0.0838559, 0.0016339924, -0.05316335, 0.063593015, -0.20762952, -0.17041244, 0.046337787, 0.042274795, 0.10624157, 0.110793, 0.13401565, 0.17065364) * g_8; result += mat4(-0.11632263, -0.12953088, 0.001185442, 0.10271505, 0.063425556, 0.20457491, 0.035240173, -0.016209599, 0.18448795, 0.28286663, 0.047897473, -0.03594525, 0.12672062, 0.02626917, -0.017910505, -0.023291295) * g_9; result += mat4(0.15155636, 0.34159487, -0.14385378, 0.1202715, 0.08488496, -0.14626624, -0.15154605, 0.033907797, -0.4028903, 0.009578373, 0.20309076, 0.03162836, 0.0046819323, 0.12714009, -0.013452622, -0.027946994) * g_10; result += mat4(-0.023553226, 0.012964108, 0.2615834, -0.18088982, 0.16396646, -0.1555898, 0.062380422, -0.13156545, 0.11771863, 0.11465695, 0.15540528, 0.05780806, 0.162502, -0.15075624, -0.081975155, 0.08368184) * g_11; result += mat4(0.21025248, 0.19884978, -0.12959355, 0.12049732, 0.22328858, 0.13621397, -0.14099576, -0.12470971, -0.09525357, -0.3020424, 0.06765223, 0.11113628, -0.06416074, -0.19985223, -0.16019244, -0.11679983) * g_12; result += mat4(-0.09884801, -0.19851618, 0.09546932, 0.16984892, -0.23047769, -0.19711624, 0.075863495, 0.0017955381, 0.015505981, -0.18864273, 0.078835726, 0.045279432, -0.008318564, 0.22265139, 0.24933302, 0.012418065) * g_13; result += mat4(-0.12885031, 0.07197899, 0.034894828, -0.027127236, -0.15808247, -0.090660565, -0.032682374, 0.04424032, -0.02021023, 0.23655033, 0.2861916, 0.1077876, -0.00029343172, 0.14406225, -0.12042908, -0.05617217) * g_14; result += mat4(0.06726449, -0.13338274, 0.13298374, 0.1509329, 0.0012467351, 0.10550558, -0.11021875, -0.089391366, -0.121223524, -0.18981695, -0.30600676, -0.17530401, 0.035590086, -0.19236173, -0.00065066793, -0.14428075) * g_15; result += mat4(-0.07112659, -0.020882819, -0.1465499, 0.096829794, 0.20048432, 0.104522765, -0.26555765, -0.097862296, -0.030852538, 0.105224766, 0.08888586, 0.17757314, 0.16541813, -0.23302473, 0.2233853, -0.010632784) * g_16; result += mat4(0.014658764, -0.0334598, 0.3128382, 0.077815466, -0.22126053, -0.04505339, 0.061955534, 0.021540016, 0.010367894, -0.051611926, 0.07533717, -0.056219503, -0.2093322, 0.03568594, -0.17417803, -0.10428233) * g_17; result += mat4(0.2191052, 0.11557848, -0.012550732, 0.17574733, -0.029502312, -0.032267477, -0.07563763, -0.07457431, -0.038292985, -0.09042212, 0.08027953, 0.19520667, -0.083191395, 0.12538701, -0.09176717, 0.011189392) * g_18; result += mat4(-0.16427885, -0.10249853, -0.17418809, -0.17851928, -0.02198882, -0.016383043, -0.056685332, 0.054567203, 0.085425794, 0.07624397, 0.029935993, -0.11497607, 0.09389378, -0.113407105, -0.037462458, 0.05798364) * g_19; result += mat4(-0.11592955, -0.0355327, 0.02012006, 0.08628437, 0.18852545, 0.04429939, 0.2095552, 0.11321021, -0.10715762, -0.06410171, 0.07349654, -0.10263874, -0.25958562, -0.0065148305, 0.05395847, 0.23721853) * g_20; result += mat4(0.08934432, -0.018261336, -0.1469809, -0.1230833, -0.03024807, -0.108250126, -0.1356501, -0.19411466, 0.12480876, -0.056631427, -0.14539632, -0.011234567, -0.108617164, -0.0075640143, 0.016628174, -0.031951398) * g_21; result += mat4(-0.030735651, -0.25655523, 0.07889343, 0.072985075, -0.14274006, -0.0726582, -0.17257299, 0.04806954, 0.20640111, 0.09091482, -0.02442191, -0.056154832, -0.0973647, -0.15620042, 0.062126547, -0.27619773) * g_22; result += mat4(0.019488974, 0.09159406, 0.050291736, 0.05484099, 0.007813524, 0.031137392, 0.008452417, -0.06525648, -0.024203332, -0.04843337, 0.0056339726, -0.08692725, 0.12216992, -0.1479449, -0.11445307, 0.14418265) * g_23; result += mat4(-0.092634715, -0.12256442, -0.03266669, -0.13706104, -0.028364131, -0.16320482, 0.025872277, 0.0038799648, -0.038322225, 0.07213509, -0.08575004, 0.00078005146, -0.19118088, 0.13901393, -0.07466347, -0.15850773) * g_24; result += mat4(-0.10358112, 0.23026147, -0.17026868, 0.22740762, -0.073265195, 0.20872793, -0.1305692, 0.041578945, -0.14450042, 0.074723445, -0.19840808, -0.31698796, -0.13111241, 0.039627273, 0.20071575, 0.18766841) * g_25; result += mat4(0.083393425, 0.0077654063, -0.024181146, -0.23965842, -0.015347993, 0.06553551, -0.075003184, -0.12717652, 0.24724984, -0.2618065, 0.00016140452, -0.030394942, -0.09804706, -0.05339126, 0.13838013, -0.11934897) * g_26; result += mat4(-0.15981214, 0.099963255, 0.020670403, 0.055687193, 0.098974116, 0.09318632, -0.0020179797, 0.069629736, -0.18775915, 0.06435833, -0.054918338, 0.073864214, -0.004390631, 0.017190594, -0.099290535, 0.23170115) * g_27; result += mat4(-0.025526501, 0.06180454, 0.02409264, 0.067765474, -0.25856894, 0.056929503, -0.23243466, -0.29785407, -0.057924725, -0.18965043, -0.19148564, -0.08055246, 0.123928405, -0.12250164, -0.050594267, 0.03553811) * g_28; result += mat4(-0.0960669, -0.06418567, -0.15908502, 0.032472476, 0.17400779, -0.1997357, 0.23960195, 0.17217276, -0.17098325, 0.07912132, 0.15839973, 0.09257917, -0.11821401, 0.18548669, -0.04553704, 0.14563085) * g_29; result += vec4(-0.020268483, -0.020570418, 0.013189642, -0.023046626); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x1x1x120 //!HOOK MAIN //!BIND conv2d_27_tf //!BIND conv2d_27_tf1 //!BIND conv2d_27_tf2 //!BIND conv2d_27_tf3 //!BIND conv2d_26_tf //!BIND conv2d_1_tf //!BIND conv2d_4_tf //!BIND conv2d_7_tf //!BIND conv2d_10_tf //!BIND conv2d_13_tf //!BIND conv2d_16_tf //!BIND conv2d_19_tf //!BIND conv2d_22_tf //!BIND conv2d_25_tf //!BIND conv2d_28_tf //!SAVE conv0ups3 //!WIDTH conv2d_27_tf.w //!HEIGHT conv2d_27_tf.h //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define g_0 (max((conv2d_27_tf_tex(conv2d_27_tf_pos)), 0.0)) #define g_1 (max((conv2d_27_tf1_tex(conv2d_27_tf1_pos)), 0.0)) #define g_2 (max((conv2d_27_tf2_tex(conv2d_27_tf2_pos)), 0.0)) #define g_3 (max((conv2d_27_tf3_tex(conv2d_27_tf3_pos)), 0.0)) #define g_4 (max(-(conv2d_27_tf_tex(conv2d_27_tf_pos)), 0.0)) #define g_5 (max(-(conv2d_27_tf1_tex(conv2d_27_tf1_pos)), 0.0)) #define g_6 (max(-(conv2d_27_tf2_tex(conv2d_27_tf2_pos)), 0.0)) #define g_7 (max(-(conv2d_27_tf3_tex(conv2d_27_tf3_pos)), 0.0)) #define g_8 (max((conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_9 (max(-(conv2d_26_tf_tex(conv2d_26_tf_pos)), 0.0)) #define g_10 (max((conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_11 (max(-(conv2d_1_tf_tex(conv2d_1_tf_pos)), 0.0)) #define g_12 (max((conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_13 (max(-(conv2d_4_tf_tex(conv2d_4_tf_pos)), 0.0)) #define g_14 (max((conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_15 (max(-(conv2d_7_tf_tex(conv2d_7_tf_pos)), 0.0)) #define g_16 (max((conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_17 (max(-(conv2d_10_tf_tex(conv2d_10_tf_pos)), 0.0)) #define g_18 (max((conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_19 (max(-(conv2d_13_tf_tex(conv2d_13_tf_pos)), 0.0)) #define g_20 (max((conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_21 (max(-(conv2d_16_tf_tex(conv2d_16_tf_pos)), 0.0)) #define g_22 (max((conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_23 (max(-(conv2d_19_tf_tex(conv2d_19_tf_pos)), 0.0)) #define g_24 (max((conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_25 (max(-(conv2d_22_tf_tex(conv2d_22_tf_pos)), 0.0)) #define g_26 (max((conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) #define g_27 (max(-(conv2d_25_tf_tex(conv2d_25_tf_pos)), 0.0)) #define g_28 (max((conv2d_28_tf_tex(conv2d_28_tf_pos)), 0.0)) #define g_29 (max(-(conv2d_28_tf_tex(conv2d_28_tf_pos)), 0.0)) vec4 hook() { vec4 result = mat4(0.24645565, 0.05784516, 0.10867771, -0.05984515, -0.028971449, 0.11605379, -0.1291642, -0.014052763, 0.11068091, 0.004926675, 0.20459619, -0.044202894, -0.13706492, -0.04746351, 0.046451483, -0.12730147) * g_0; result += mat4(0.16991296, 0.023684578, 0.021467324, 0.112513155, 0.16544406, -0.07930093, 0.11551819, -0.19346547, -0.12460893, 0.12157849, 0.016360888, -0.013482095, 0.09450167, -0.06769771, 0.077387445, -0.0790254) * g_1; result += mat4(0.2960009, 0.1488434, 0.006516303, 0.036311023, -0.14754485, 0.055427775, 0.11966719, 0.34234813, 0.061157946, 0.15428309, -0.0006080333, -0.08627383, -0.059905972, -0.22450238, -0.014939416, 0.17368095) * g_2; result += mat4(0.07378066, 0.056095265, -0.14646475, 0.052108943, -0.056351613, -0.0075914487, -0.22897565, 0.18092358, -0.30173147, 0.4220325, 0.030691927, -0.04179051, 0.18329756, 0.07725657, 0.04097003, 0.12552805) * g_3; result += mat4(-0.10679568, -0.114355184, -0.077642724, 0.03897825, 0.29233125, 0.10134386, -0.0011805982, -0.07966318, 0.06551558, 0.03483564, -0.18145105, -0.09800179, -0.11958348, 0.1625396, -0.030568633, -0.0012501187) * g_4; result += mat4(-0.07481191, 0.032259185, 0.28050005, -0.060750138, 0.12653445, 0.058230374, -0.002791269, -0.06543193, -0.0781853, 0.059335645, 0.0038409696, -0.16285823, -0.2594777, -0.16057986, -0.032912817, 0.09385994) * g_5; result += mat4(-0.0057511446, -0.05183356, 0.0043450245, 0.06839988, 0.08128163, 0.040296473, -0.01891294, -0.0850551, 0.1050001, 0.10195095, 0.13149269, -0.06505747, -0.024678802, 0.13261814, -0.033877272, -0.035169628) * g_6; result += mat4(-0.14846025, -0.13375129, -0.007583847, 0.012587357, -0.09852703, -0.057210695, 0.041786056, -0.21553703, 0.19320351, -0.26314387, 0.05067924, -0.09403354, 0.023944646, 0.07871713, -0.010490625, -0.13831468) * g_7; result += mat4(0.11984692, -0.0098591605, 0.12905905, 0.15365292, -0.0012730177, 0.05490899, -0.028208854, -0.1367009, -0.059950594, -0.053963825, 0.2162382, 0.04799995, 0.021240858, -0.07847233, 0.08247004, -0.022988454) * g_8; result += mat4(-0.12824033, 0.057294488, -0.14316118, -0.0504033, -0.089879006, 0.034919854, -0.0040405784, 0.031905886, 0.08371419, -0.0362044, -0.0045882226, 0.16748743, 0.054630518, -0.05417787, -0.042437587, 0.25395465) * g_9; result += mat4(-0.13144904, 0.2214945, -0.028178846, -0.23956248, -0.15738271, -0.16158687, -0.10207897, 0.042929817, -0.066305175, -0.096577294, 0.04117173, -0.015665123, -0.11068033, 0.0819128, 0.16483264, 0.09976227) * g_10; result += mat4(0.19826432, -0.024046648, -0.17804232, 0.16008496, 0.07570708, -0.14472866, 0.04762163, 0.22881216, 0.05690948, 0.22411816, 0.005796563, -0.15312837, -0.123055264, 0.032928593, 0.08476358, 0.08951332) * g_11; result += mat4(-0.0019496006, -0.16238998, 0.22266757, -0.2576854, 0.035717808, 0.009473379, 0.017560462, -5.106421e-05, 0.01733539, -0.18899617, -0.14462131, 0.011425934, 0.056977432, -0.018645681, -0.01617488, 0.14064595) * g_12; result += mat4(0.015111429, -0.12743704, -0.16131711, 0.09304627, -0.011910577, -0.05745339, -0.039512582, 0.07567732, 0.026060602, 0.028980162, -0.12465325, -0.18355931, -0.20168343, 0.13719437, -0.08599688, -0.18141237) * g_13; result += mat4(0.054802295, 0.29837707, 0.03522563, -0.03632989, -0.086978845, 0.00095785136, 0.107393734, 0.044818994, -0.13475525, 0.3006535, 0.07316234, -0.16334157, -0.16008015, 0.020546542, -0.14413168, -0.08525269) * g_14; result += mat4(-0.259366, -0.07472293, 0.024179474, -0.038631555, 0.05083423, -0.04494027, 0.06810897, -0.10119448, 0.0068198745, -0.20377721, -0.099571116, 0.06853115, 0.1771495, 0.05278769, 0.116875805, 0.10305356) * g_15; result += mat4(0.04593561, 0.20434843, -0.063411824, -0.041401528, 0.11932308, 0.25054318, -0.10001591, 0.034949005, 0.09727825, -0.06489274, 0.05936674, -0.036842782, 0.1862358, -0.11597859, -0.08135922, 0.029445825) * g_16; result += mat4(-0.22665091, -0.10780771, -0.04841487, 0.09992152, -0.138711, 0.020387711, 0.015868897, -0.08746323, -0.2086925, -0.015857462, 0.0466177, 0.06748683, -0.01600545, 0.22568497, -0.002262447, 0.016205644) * g_17; result += mat4(0.13159914, 0.0085239895, 0.05532446, 0.056012895, -0.1934148, -0.09157347, 0.14135554, 0.052508645, 0.09289656, -0.14269857, 0.030171013, 0.037755817, 0.04909593, -0.18655239, -0.0055961176, 0.1187946) * g_18; result += mat4(-0.17952375, -0.024501823, 0.023383398, -0.107995816, 0.08161396, 0.020528542, 0.15347931, -0.0741402, -0.20154397, -0.0015806113, 0.028733943, 0.028272778, -0.2613763, -0.051558394, -0.14001833, -0.050815742) * g_19; result += mat4(-0.015107653, -0.0940447, 0.036241457, -0.010593342, -0.045961525, 0.17196755, 0.18697836, 0.031196352, 0.20367323, 0.088155776, 0.045706164, -0.13437189, -0.18159072, 0.36762834, -0.20641692, 0.118886285) * g_20; result += mat4(-0.060623996, 0.20019537, 0.18168223, 0.08877838, -0.045696676, 0.061234694, -0.07338814, 0.051613998, -0.25389117, -0.052995674, -0.09211558, -0.16466606, -0.145923, 0.026201494, -0.050066713, 0.08831479) * g_21; result += mat4(-0.16469187, -0.16988957, 0.09734995, 0.061539363, -0.13671373, 0.10063324, -0.011433946, -0.086579375, 0.107261725, -0.10270097, -0.012975658, 0.06668877, 0.15680642, 0.07163846, 0.14033522, -0.01405299) * g_22; result += mat4(0.132207, 0.03416093, -0.048854396, 0.07515984, 0.078861736, -0.2689559, -0.030746087, -0.11602645, 0.06880567, 0.08204513, 0.06717855, 0.007817995, 0.016181905, 0.040704746, -0.16240671, 0.07026067) * g_23; result += mat4(-0.15598467, -0.0022878624, 0.026549233, -0.04394233, 0.20921734, 0.043367602, -0.15613823, 0.04929508, 0.0029379008, 0.04842879, 0.18046685, -0.117088884, -0.22295143, 0.15341441, 0.34251833, -0.16558655) * g_24; result += mat4(-0.25135937, 0.043886732, -0.06370679, -0.14021763, -0.21199869, -0.028682569, 0.120286964, -0.12730849, 0.057145018, 0.089308545, 0.18639867, -0.13679394, 0.012308779, -0.22714002, -0.1320638, -0.040500604) * g_25; result += mat4(0.049142376, -0.2076546, 0.23179443, 0.14762919, -0.23876101, 0.1215704, 0.16733463, 0.029052794, 0.196647, -0.060006868, -0.05808242, -0.18242458, 0.19578396, -0.05617832, 0.08892038, -0.04199541) * g_26; result += mat4(-0.22550662, 0.1297213, -0.07912901, -0.035594005, 0.01997545, -0.24715406, 0.014261541, -0.047214407, -0.22399336, 0.040679913, 0.13449016, -0.02821665, -0.22720997, 0.11576339, 0.12183234, -0.059500802) * g_27; result += mat4(-0.12097631, 0.059060633, 0.007883754, -0.19396073, 0.013222453, 0.19267121, 0.04800107, -0.27254722, -0.2901846, 0.21499753, 0.16564848, 0.2441496, -0.14540148, -0.115534924, 0.072310135, -0.085634045) * g_28; result += mat4(-0.01119188, 0.09056528, 0.08672538, 0.30530053, 0.040546756, -0.014442347, 0.03800687, 0.08838292, 0.27894083, -0.15870668, -0.088538125, -0.14179976, -0.14808148, 0.29186696, 0.0804609, -0.12542953) * g_29; result += vec4(-0.024944633, -0.005018115, -0.03752404, -0.02132803); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv0ups //!BIND conv0ups1 //!BIND conv0ups2 //!BIND conv0ups3 //!SAVE conv1ups //!WIDTH conv0ups.w 4 * //!HEIGHT conv0ups.h 4 * //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv0ups_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_1(x_off, y_off) (max((conv0ups1_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_2(x_off, y_off) (max((conv0ups2_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_3(x_off, y_off) (max((conv0ups3_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_4(x_off, y_off) (max(-(conv0ups_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_5(x_off, y_off) (max(-(conv0ups1_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_6(x_off, y_off) (max(-(conv0ups2_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_7(x_off, y_off) (max(-(conv0ups3_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) vec4 hook() { vec4 result = mat4(-0.020695187, 0.05179575, -0.00084568735, -0.058708318, -0.046756897, -0.051572543, 0.0075343885, 0.019189375, 0.009596094, 0.07458263, -0.0665028, 0.02477345, 0.0036938943, 0.016147994, 0.17555033, 0.063790314) * go_0(-1.0, -1.0); result += mat4(0.047372315, -0.09212169, -0.1426403, 0.010264183, 0.110588886, 0.0059688496, 0.09531943, -0.04407747, 0.025626734, 0.042082682, 0.32421026, -0.038435984, 0.010308315, 0.06190991, -0.08102318, -0.045582976) * go_0(-1.0, 0.0); result += mat4(0.048703067, 0.047595374, -0.05395934, -0.08620705, -0.10573035, 0.023483915, -0.03392267, 0.010127343, -0.0077816406, 0.052177433, -0.056273837, 0.037937485, 0.027907217, -0.09347315, 0.05239236, -0.026808713) * go_0(-1.0, 1.0); result += mat4(-0.050651994, -0.02732563, -0.061340403, -0.112863585, 0.0064489683, -0.025380466, -0.052053943, -0.06545331, -0.033553123, -0.022598164, 0.04204955, 0.02323651, 0.031271514, 0.16110232, 0.38803446, -0.054479457) * go_0(0.0, -1.0); result += mat4(0.07135817, -0.09506239, 0.16592708, -0.040242936, -0.03786691, -0.06483209, -0.09554407, 0.07840277, -0.020200757, 0.02384577, -0.013126495, -0.027625585, -0.075230405, -0.21014008, -0.03909564, -0.09478117) * go_0(0.0, 0.0); result += mat4(0.07711308, 0.10181707, 0.018250873, 0.077304795, 0.01642751, 0.03228944, 0.021899378, 0.010245774, -0.036227338, -0.001539605, -0.07523362, 0.14429028, -0.07359782, 0.13070822, -0.02560883, -0.022874065) * go_0(0.0, 1.0); result += mat4(-0.04219415, -0.011289797, -0.039906166, -0.089074284, 0.017567573, 0.062162995, 0.096065514, 0.05775087, -0.0102344435, 0.006881742, -0.08669115, -0.032948222, 0.08963109, -0.08284012, 0.066751294, 0.1828466) * go_0(1.0, -1.0); result += mat4(0.03411321, 0.02054857, -0.021424247, -0.02265521, 0.06751186, 0.046636272, 0.13100775, -0.048767522, 0.05850365, 0.027136968, -0.004158686, 0.111822814, -0.06596076, -0.07753948, 0.041529708, 0.09940788) * go_0(1.0, 0.0); result += mat4(-0.0028192403, 0.016853701, -0.03016301, -0.020235358, -0.05034052, -0.013616077, -0.021349836, -0.04864314, -0.0414048, -0.14153421, -0.05658087, -0.056029163, 0.13383056, -0.027531937, -0.15566418, -0.2105671) * go_0(1.0, 1.0); result += mat4(0.04016501, 0.10559333, 0.008267663, 0.06649002, 0.042583052, 0.008021726, -0.051475175, -0.027462183, 0.03987831, 0.030259034, -0.09433753, 0.059861444, -0.069253184, 0.07167569, -0.029389774, 0.042345088) * go_1(-1.0, -1.0); result += mat4(-0.36324787, -0.03084712, 0.31618732, 0.12707345, -0.04294511, -0.025086822, -0.004116296, -0.07539075, -0.011589254, -0.024815882, -0.0939434, 0.015169785, 0.0101918485, 0.0453247, 0.1548971, -0.06455103) * go_1(-1.0, 0.0); result += mat4(0.119113825, -0.049629897, -0.12882084, -0.13687927, 0.032445643, 0.03346595, 0.077079095, 0.032214127, 0.008172492, -0.04357317, -0.0043878276, 0.010722748, 0.03210129, 0.035465643, -0.009428875, 0.08321818) * go_1(-1.0, 1.0); result += mat4(-0.095653616, -0.10428462, -0.007750534, -0.061840005, 0.0069368114, 0.09166805, 0.14013365, 0.09337012, -0.12483825, 0.16957195, -0.20122507, 0.045088075, 0.03606835, -0.022486823, -0.08902174, 0.068695016) * go_1(0.0, -1.0); result += mat4(-0.010500626, -0.034527376, 0.005386829, 0.22918703, -0.10108878, 0.09873839, 0.15702549, -0.09598402, -0.039832648, -0.09612538, 0.083574384, 0.1690233, 8.269891e-05, -0.068035394, 0.0534864, -0.0566001) * go_1(0.0, 0.0); result += mat4(0.071872145, -0.02851451, 0.033841643, 0.10728748, 0.035649426, -0.02319551, -0.04673053, -0.028753035, 0.059749573, 0.07446472, -0.1269341, 0.09893258, -0.0225744, 0.016244017, 0.18417723, 0.09029894) * go_1(0.0, 1.0); result += mat4(0.044112977, -0.049037457, 0.064683616, -0.06556883, -0.031397637, 0.017776502, -0.05355212, -0.030592304, 0.16831197, -0.05688798, -0.12060968, -0.08913267, -0.03228456, 0.0952953, 0.008387226, 0.027184563) * go_1(1.0, -1.0); result += mat4(0.080981106, -0.028719943, 0.14178857, -0.028141385, 0.04193971, -0.051364426, 0.06132975, 0.076663375, -0.13706256, -0.15490277, -0.13380666, 0.049959663, 0.100946076, 0.10222464, -0.010470593, -0.024446227) * go_1(1.0, 0.0); result += mat4(0.02006824, 0.035393536, 0.00029921162, -0.07853538, -0.057912953, 0.0043116766, 0.06834718, -0.006364991, 0.1331031, 0.092478134, -0.105553046, -0.07090539, -0.02150639, -0.12197273, -0.03806585, -0.010030255) * go_1(1.0, 1.0); result += mat4(-0.010309926, 0.013791634, -0.034627564, 0.080061935, 0.019168656, 0.018056372, -0.12263221, 0.011914942, -0.108048424, -0.0077957036, 0.054784223, -0.03022557, 0.090339676, -0.11052819, 0.025375597, -0.008405164) * go_2(-1.0, -1.0); result += mat4(-0.08640119, 0.0116826715, 0.096712016, -0.009556215, -0.050392166, -0.015750423, 0.024098802, -0.030559674, -0.008687317, 0.086569674, -0.010534909, 0.14062569, -0.04092292, 0.059992965, 0.10706941, -0.071255006) * go_2(-1.0, 0.0); result += mat4(0.055439454, -0.08304736, -0.05772018, 0.0002228898, 0.049766537, -0.03562336, -0.062019385, -0.008590997, 0.0714339, 0.060822833, 0.05533639, -0.018964287, 0.04474348, 0.030456604, -0.10162788, 0.023526968) * go_2(-1.0, 1.0); result += mat4(0.036144115, -0.055477962, 0.25543195, 0.018981127, -0.0029639043, 0.006001523, -0.16257423, -0.005548247, 0.27908665, -0.017829081, 0.20361087, 0.069451064, 0.0425165, 0.04671855, 0.21115932, 0.115634814) * go_2(0.0, -1.0); result += mat4(0.26696295, 0.12878756, -0.10729505, -0.11586441, -0.11449649, 0.036481492, -0.013030123, 0.03475486, -0.112476334, 0.078693345, 0.06723839, -0.101722986, -0.3230926, 0.003929733, 0.0382842, -0.05160655) * go_2(0.0, 0.0); result += mat4(-0.19706994, -0.06081748, -0.083103545, 0.0641547, -0.020251034, 0.012799021, -0.02441986, 0.021752145, -0.18157272, -0.12557366, 0.12760532, 0.16373396, -0.015558221, -0.16272856, -0.087740906, -0.0012695452) * go_2(0.0, 1.0); result += mat4(0.015716445, -0.0065595773, -0.12268667, 0.054408874, 0.04874326, 0.028534992, 0.0678798, -0.0694589, -0.053737182, -0.04219611, -0.03308467, 0.024086336, -0.01133326, -0.019263305, -0.10631709, 0.014409722) * go_2(1.0, -1.0); result += mat4(0.010652, -0.102014825, -0.31128922, -0.1404369, 0.008963117, -0.06387716, 0.09456378, 0.002045589, 0.0120676765, 0.03954822, 0.08071245, 0.009293571, 0.022331964, 0.09042008, -0.0895777, -0.082019664) * go_2(1.0, 0.0); result += mat4(-0.028971305, 0.0018671599, 0.057754505, 0.17587171, -0.041128, 0.01627396, -0.08374196, 0.0022898368, 0.1260272, -0.06357269, -0.071449675, 0.080769256, 0.14892668, 0.08178534, 0.028882774, -0.08646687) * go_2(1.0, 1.0); result += mat4(-0.020794544, 0.040059574, 0.017822137, -0.003598029, -0.06560943, -0.044181604, 0.019038988, 0.01135562, -0.04396594, 0.073165074, 0.0733299, 0.0027922648, 0.043707132, 0.005099016, -0.11030712, -0.08067086) * go_3(-1.0, -1.0); result += mat4(-0.018612824, -0.03987747, -0.10851105, 0.026845753, 0.0143560935, 0.10487563, -0.1329422, 0.062191565, 0.042507634, 0.013565981, 0.05381924, -0.018621631, 0.07241348, 0.07312401, 0.162055, 0.072888635) * go_3(-1.0, 0.0); result += mat4(-0.042371858, -0.06279698, -0.047954734, -0.04135068, -0.032758582, -0.05770967, 0.095052056, 0.049033426, -0.01945755, -0.008561963, 0.04326833, 0.030072358, -0.057644114, 0.15499905, -0.060267057, 0.062550865) * go_3(-1.0, 1.0); result += mat4(-0.039586462, 0.020706546, 0.21365152, -0.044521715, -0.020410553, 1.3661776e-05, 0.049052373, 0.11614336, 0.00017193238, -0.07115667, -0.06459373, -0.0073429234, -0.036036134, -0.024385229, -0.075657554, -0.05757767) * go_3(0.0, -1.0); result += mat4(0.041886285, 0.033068173, 0.06381855, 0.115213275, 0.069466114, -0.04658492, -0.17437598, 0.016479885, 0.041463092, -0.026836906, 0.09679532, -0.11155522, 0.03152283, 0.12496124, -0.1317453, 0.17767543) * go_3(0.0, 0.0); result += mat4(0.024161939, 0.020480702, 0.10460235, 0.01299023, 0.038210697, -0.023922926, 0.006196876, -0.11040656, -0.048561808, 0.031339034, -0.0034977624, -0.01171306, -0.055257812, -0.11679662, -0.1292118, -0.24881968) * go_3(0.0, 1.0); result += mat4(-0.034799732, -0.03295996, -0.22622366, -0.059414957, -0.07564334, 0.06638484, 0.08077548, 0.06760112, -0.03851018, 0.06950001, -0.061534263, -0.010881979, -0.15067118, 0.0624694, -0.2033063, -0.058800664) * go_3(1.0, -1.0); result += mat4(0.065365165, 0.06403614, 0.19352676, 0.13365605, 0.07580563, -0.014021939, -0.05731098, 0.036906917, 0.02100828, 0.017755862, 0.041521445, -0.11368253, 0.06070961, -0.22881168, 0.0035648798, 0.075051494) * go_3(1.0, 0.0); result += mat4(-0.056965712, -0.02173571, 0.084591195, -0.021413585, -0.068680905, 0.023532664, -0.09906315, 0.0630235, 0.04045921, 0.014031516, 0.02268613, 0.011994433, 0.048502963, 0.037335977, -0.19570793, 0.14572982) * go_3(1.0, 1.0); result += mat4(0.0261724, 0.030047135, -0.09042618, 0.033079226, 0.07980195, 0.036434878, 0.17216438, 0.058141544, -0.043239925, -0.05976093, -0.04999952, -0.020736014, -0.0106217805, -0.012736464, 0.008851435, -0.056872174) * go_4(-1.0, -1.0); result += mat4(-0.082696624, 0.054985303, -0.024339378, -0.0543204, -0.17700307, 0.11250488, -0.031559974, 0.022210045, 0.09618239, 0.01580275, -0.03690757, -0.047982343, 0.08703919, 0.021051923, -0.047632344, 0.0045034164) * go_4(-1.0, 0.0); result += mat4(-0.03290176, -0.0364079, 0.019448102, 0.049773544, 0.07766832, -0.07508403, 0.0134854335, -0.00643178, 0.015591646, -0.0043992195, 0.1354414, 0.038126215, -0.0032720412, 0.018891534, -0.019052628, -0.032509252) * go_4(-1.0, 1.0); result += mat4(-0.14167961, 0.12479212, -0.12158335, 0.016470937, 0.03488672, 0.045030095, -0.2268721, 0.16147503, 0.09902494, -0.023874994, 0.19846949, 0.017371945, -0.0801073, 0.055975642, 0.068055116, 0.019367244) * go_4(0.0, -1.0); result += mat4(0.06765082, -0.21494555, 0.099107146, 0.016591892, -0.02380657, -0.002625899, 0.25159433, -0.034043565, -0.052320056, -0.0011840623, 0.08531329, 0.00049678114, 0.04983457, 0.00088371156, -0.13286956, 0.00064268603) * go_4(0.0, 0.0); result += mat4(-0.05795321, 0.22021243, 0.0076905126, 0.06835479, -0.051106546, 0.024030196, 0.06576595, 0.15353538, 0.009099127, 0.085880324, 0.0011794734, -0.096212335, 0.04021018, -0.113805994, 0.139067, -0.0110617215) * go_4(0.0, 1.0); result += mat4(0.079940975, 0.01368856, 0.16861776, 0.08192191, -0.122989796, -0.099328294, 0.049420018, -0.09718617, -0.05760635, 0.017678939, -0.087738335, -0.075534955, 0.010387554, -0.028321257, 0.1314425, 0.0006286904) * go_4(1.0, -1.0); result += mat4(0.01243246, 0.05316387, -0.019017072, 0.039417446, 0.06917462, 0.030646449, 0.037567277, 0.186223, -0.019127764, 0.04848654, 0.17375444, 0.17762296, -0.06592402, -0.04435415, -0.04296899, -0.11317639) * go_4(1.0, 0.0); result += mat4(-0.03502325, -0.086596005, 0.054397397, 0.020352576, 0.048965316, 0.15153474, 0.1431249, 0.052301593, -0.008229829, -0.046441074, 0.029613024, -0.042361066, -0.022458816, -0.030389478, 0.106790364, 0.16180433) * go_4(1.0, 1.0); result += mat4(0.045190386, -0.028396606, 0.03988003, 0.018620977, -0.08892243, 0.051916, 0.02764735, -0.031002073, -0.024089592, -0.07468457, 0.070725314, -0.032896645, 0.0072905435, 0.033070587, 0.012611254, 0.0015103485) * go_5(-1.0, -1.0); result += mat4(-0.11496197, -0.034812376, -0.12765816, -0.073968515, 0.1103958, -0.015156485, -0.043987215, 0.06353695, 0.060253356, -0.09172886, 0.051112115, 0.04185245, -0.010958595, -0.009855241, 0.07016091, 0.08352796) * go_5(-1.0, 0.0); result += mat4(-0.0018355614, 0.009696581, -0.014894175, 0.10311216, -0.0023905442, -0.031233516, -0.14643733, -0.13987964, -0.03829992, 0.09283117, 0.020682491, -0.0038340855, 0.018485101, -0.08282137, 0.06482714, -0.04316507) * go_5(-1.0, 1.0); result += mat4(0.110480644, 0.0354597, 0.17428526, 0.13770753, 0.06420499, 0.0076466007, -0.02015196, -0.07055463, 0.03758145, -0.11852888, -0.01557475, -0.050508235, -0.0027972506, -0.016254924, -0.0875164, -0.05621017) * go_5(0.0, -1.0); result += mat4(0.05704481, 0.07027665, 0.07560543, -0.27404872, -0.1203241, -0.13563003, 0.31092855, 0.23089512, 0.081106246, 0.14123824, 0.09980848, -0.1233403, 0.136044, 0.053615157, 0.124605425, -0.14057036) * go_5(0.0, 0.0); result += mat4(-0.03378077, -0.07225837, 0.12690358, -0.10464525, -0.0295789, 0.06703109, 0.07382307, -0.026333801, -0.09037467, -0.07251056, -0.05310559, 0.000101977144, -0.10449609, 0.1944587, 0.13968393, 0.026316661) * go_5(0.0, 1.0); result += mat4(-0.01433047, 0.009148719, -0.111054346, 0.020732088, 0.042477377, -0.043188296, 0.098809525, 0.073676586, -0.0322328, 0.01969649, 0.010843924, 0.12852491, -0.019762363, -0.058187466, -0.09948641, -0.041471776) * go_5(1.0, -1.0); result += mat4(-0.046551157, 0.007494576, 0.020390457, 0.039238412, 0.034302976, 0.06468725, -0.08491083, -0.022852294, -0.03540986, 0.15482925, -0.05325463, -0.08798036, -0.0019466237, -0.09249625, -0.026100513, 0.10110193) * go_5(1.0, 0.0); result += mat4(-0.027061401, -0.035921685, 0.03197978, 0.08998862, 0.021752719, -0.07339133, 0.010681594, -0.0795563, -0.031203764, -0.048886176, 0.1505545, 0.05413737, -0.2009508, -0.09878104, 0.12233396, 0.12264711) * go_5(1.0, 1.0); result += mat4(0.000201578, -0.020336568, 0.00035553024, -0.04552163, 0.045114692, -0.101587355, 0.04016851, 0.019786127, 0.081738554, -0.035416037, 0.015109221, -0.013051524, 0.015240257, -0.014836099, -0.01573197, -0.067426234) * go_6(-1.0, -1.0); result += mat4(0.06572358, -0.0053061, 0.05557546, -0.0066949055, 0.07563655, 0.062391594, -0.03726393, 0.0052256803, 0.021015963, -0.020943565, 0.17579497, -0.016357217, 0.113310464, 0.08199825, -0.006430871, 0.008816601) * go_6(-1.0, 0.0); result += mat4(-0.005421809, 0.04227301, -0.16125767, -0.06964377, -0.09038185, 0.024234684, -0.022720145, 0.00079508655, 0.008849058, 0.013611232, 0.043701556, -0.048654094, 0.08114624, 0.0073766154, -0.06040684, -0.020945968) * go_6(-1.0, 1.0); result += mat4(0.015536741, 0.03772623, 0.14326756, -0.0015041671, -0.04507155, 0.015579776, 0.2857906, -0.11391861, -0.117170595, 0.047959678, -0.06387855, -0.0055391947, 0.060498606, 0.009427265, 0.50844795, -0.11058385) * go_6(0.0, -1.0); result += mat4(-0.051472906, 0.009261859, -0.15015996, 0.12943685, 0.19357206, -0.116032414, -0.28050247, -0.090211906, 0.0010450644, 0.044784248, -0.00023668195, 0.11839819, -0.22070691, 0.22376983, 0.045054942, 0.047100548) * go_6(0.0, 0.0); result += mat4(0.04065783, -0.028647335, 0.083073996, 0.06967863, 0.023751903, 0.14010519, -0.15699695, -0.07796914, 0.018112006, -0.048332486, 0.064069994, 0.003143784, 0.0074339295, 0.14113344, 0.059680164, 0.008873948) * go_6(0.0, 1.0); result += mat4(-0.05741473, -0.027159097, 0.045549147, 0.0708231, -0.15182017, -0.077091426, 0.040370047, 0.058241665, -0.05299617, -0.028760802, -0.0076170033, -0.11069676, 0.08858413, -0.006301153, 0.04273877, -0.05631213) * go_6(1.0, -1.0); result += mat4(0.025762111, 0.062415194, -0.14223552, 0.003412124, 0.05552051, 0.18844947, -0.22042769, 0.015809692, 0.090370014, -0.006739683, -0.060091887, 0.07976979, -0.0058506215, -0.16953866, 0.024433328, 0.05852742) * go_6(1.0, 0.0); result += mat4(0.0316892, 0.09573295, 0.08312811, 0.010179943, 0.037315205, -0.065285094, -0.0012986633, -0.05224675, -0.0047330237, 0.08265473, 0.09477729, -0.06736327, -0.06450191, -0.08257717, -0.057862822, 0.08835963) * go_6(1.0, 1.0); result += mat4(0.0024440633, -0.036616765, -0.033401538, 0.004977876, 0.036649343, 0.08101561, 0.111079, -0.0026892924, 0.018146338, -0.024757951, -0.049987808, 0.088031135, -0.059743408, -0.0063467845, 0.04389662, 0.058518223) * go_7(-1.0, -1.0); result += mat4(-0.015003317, -0.025828838, 0.04108641, -0.060053583, -0.08861021, 0.015026266, -0.06384911, -0.049570337, -0.11708947, 0.0040502516, -0.29292357, -0.13572334, -0.048173945, -0.035088543, 0.0645735, 0.003977293) * go_7(-1.0, 0.0); result += mat4(0.023741405, 0.04877632, -0.09316636, -0.023240283, 0.017736096, -0.0037682957, 0.12203123, 0.023406139, 0.0039402544, -0.021817943, 0.10562721, 0.0065815113, 0.0241319, 0.09085425, 0.06748136, 0.035957564) * go_7(-1.0, 1.0); result += mat4(-0.040901843, 0.14610243, -0.033210922, -0.047225397, 0.014037701, -0.056691576, 0.010777748, -0.07679006, -0.23969224, 0.14371933, 0.010285852, -0.098876506, 0.12892431, 0.078993894, -0.014415507, -0.01773652) * go_7(0.0, -1.0); result += mat4(0.09569853, 0.08022542, 0.17847797, 0.05742365, -0.028737325, -0.06577205, 0.0099042505, -0.1788678, -0.024437329, -0.00854858, 0.064116485, 0.08779381, 0.038688138, -0.11070709, -0.061672393, -0.07259389) * go_7(0.0, 0.0); result += mat4(-0.061463468, -0.041322544, -0.049147107, -0.056226347, 0.07580429, -0.09154353, 0.1392037, 0.1725724, 0.0846089, -0.09506338, 0.0014113535, -0.043457717, 0.02086055, 0.016039053, 0.0070436527, 0.010863293) * go_7(0.0, 1.0); result += mat4(0.040287588, 0.01495664, -0.027837565, -0.049098965, 0.030421665, 0.050820872, -0.034790598, 0.081854686, -0.060803648, -0.10076397, 0.10959196, 0.08770263, 0.02639544, 0.017585248, 0.03741672, 0.098596066) * go_7(1.0, -1.0); result += mat4(-0.11272804, -0.07179105, 0.29052478, 0.16043298, -0.004745162, -0.02539786, 0.03064631, -0.11615134, 0.1467622, -0.30389008, 0.37392983, 0.081603326, -0.081118405, 0.049201585, 0.09506965, -0.07426272) * go_7(1.0, 0.0); result += mat4(0.0021397786, -0.043339223, -0.024574393, 0.004753203, 0.008854377, 0.114565484, -0.10472323, -0.054310642, -0.1363216, 0.26929548, -0.034043808, 0.0016566974, -0.024689924, 0.047800675, -0.00087367673, -0.010073392) * go_7(1.0, 1.0); result += vec4(-0.0092416825, -0.017586693, -0.056248806, 0.024289904); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv0ups //!BIND conv0ups1 //!BIND conv0ups2 //!BIND conv0ups3 //!SAVE conv1ups1 //!WIDTH conv0ups.w 4 * //!HEIGHT conv0ups.h 4 * //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv0ups_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_1(x_off, y_off) (max((conv0ups1_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_2(x_off, y_off) (max((conv0ups2_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_3(x_off, y_off) (max((conv0ups3_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_4(x_off, y_off) (max(-(conv0ups_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_5(x_off, y_off) (max(-(conv0ups1_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_6(x_off, y_off) (max(-(conv0ups2_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_7(x_off, y_off) (max(-(conv0ups3_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) vec4 hook() { vec4 result = mat4(-0.036600452, -0.10049528, 0.0425083, 0.00748036, -0.07228494, 0.092974216, -0.08875746, 0.0038487716, -0.014452269, 0.022789069, 0.03057275, 0.08749693, -0.034161948, 0.016061379, -0.123270914, -0.14571433) * go_0(-1.0, -1.0); result += mat4(0.03586051, 0.117893025, 0.019521732, -0.086191945, 0.09005548, 0.08917978, -0.038505673, 0.027726982, 0.047773708, 0.07542637, -0.09766821, -0.05601306, 0.016462456, -0.031262327, 0.29434896, -0.031188589) * go_0(-1.0, 0.0); result += mat4(-0.0010024331, -0.13936394, 0.09529403, 0.038214546, -0.004169407, -0.030122723, 0.06738456, 0.037226625, 0.016386302, -0.043177616, 0.0067897406, -0.0417514, -0.18339635, -0.0851196, 0.122963585, -0.04226655) * go_0(-1.0, 1.0); result += mat4(0.120718524, -0.07883002, 0.07970128, 0.026766716, 0.038295228, -0.012892055, -0.0853028, -0.06261667, 0.06648932, 0.077419154, -0.083746694, -0.024860187, -0.041543417, -0.078661576, 0.105570786, 0.17292567) * go_0(0.0, -1.0); result += mat4(0.06017667, 0.10275487, -0.17618456, -0.090398066, -0.11300483, 0.010944091, 0.059611183, -0.053765967, -0.08456634, -0.26681066, 0.120561525, 0.0389813, -0.3168673, -0.07365836, 0.19187033, 0.3629531) * go_0(0.0, 0.0); result += mat4(-0.047863573, -0.16097455, 0.058843378, 0.024493651, -0.050211128, 0.020149479, 0.08273668, -0.03951675, -0.051696103, -0.015382585, 0.012727583, 0.062049612, 0.023429222, 0.111244336, -0.24765679, 0.047255322) * go_0(0.0, 1.0); result += mat4(-0.043454263, -0.056187622, 0.08826043, 0.03379153, 0.0328122, 0.09490295, -0.106024, 0.0513934, 0.010730174, -0.021311862, 0.0009606973, -0.048898865, -0.05885993, 0.13555479, -0.029676508, 0.15599397) * go_0(1.0, -1.0); result += mat4(0.014284165, 0.0022697337, 0.0423487, -0.043128587, -0.066065155, -0.14259978, 0.036370326, 0.11544268, 0.0011783034, 0.014464844, -0.0077034896, 0.07947936, 0.0847673, -0.027169127, 0.060862433, 0.051962093) * go_0(1.0, 0.0); result += mat4(-0.06810183, 0.0038956213, 0.02663297, 0.07350188, 0.028407782, -0.08836482, 0.120757915, 0.0033882086, 0.025512185, 0.13103734, -0.09310468, -0.09251054, 0.06252439, 0.101230994, -0.050645854, -0.11273561) * go_0(1.0, 1.0); result += mat4(0.18605615, -0.018943008, 0.12841246, -0.048895158, -0.087834686, -0.06213869, 0.020271972, 0.01735206, -0.028159512, -0.0012055358, -0.031407196, 0.01459528, 0.055683896, 0.03376991, 0.074921526, 0.08031476) * go_1(-1.0, -1.0); result += mat4(0.16044307, -0.04908117, 0.16997416, -0.042656355, 0.026869124, -0.015336793, 0.06704625, 0.005058682, 0.02062564, 0.030037567, 0.015916575, -0.013523192, 0.012619856, 0.074030444, 0.02436604, 0.003554498) * go_1(-1.0, 0.0); result += mat4(-0.05024195, 0.06433591, 0.02808383, 0.06368531, 0.008005133, -0.02590703, -0.022208184, 0.038581703, -0.007899184, -0.076488025, 0.00072744075, 0.061727125, 0.11445254, -0.020653702, -0.010182034, 0.028005669) * go_1(-1.0, 1.0); result += mat4(-0.08974687, 0.10983013, -0.05198625, 0.025618017, 0.04013525, 0.08194611, 0.07054715, -0.039644957, -0.0019942275, 0.15640324, 0.079898156, -0.050505124, 0.018647147, 0.1864857, -0.10004012, -0.1785983) * go_1(0.0, -1.0); result += mat4(-0.12734273, -0.1984448, 0.047983695, -0.029723175, -0.019461578, 0.011290827, 0.05483677, -0.08040967, 0.010945984, 0.20160717, 0.06651317, -0.026364818, -0.19147083, 0.022746865, -0.005397772, -0.18815117) * go_1(0.0, 0.0); result += mat4(0.056349758, -0.027665544, -0.025720505, 0.06478612, 0.028723124, -0.040507562, 0.046986, -0.07457037, -0.011984053, 0.08888314, 0.14762667, 0.10618448, -0.013883168, -0.015380026, 0.022096027, -0.13794257) * go_1(0.0, 1.0); result += mat4(-0.051857505, 0.0046023214, 0.048188727, 0.018825505, -0.027216887, -0.034863137, -0.05376821, -0.03810819, 0.05989397, 0.03594429, -0.23096226, 0.15341154, 0.08981187, -0.05070559, 0.026243754, -0.04263998) * go_1(1.0, -1.0); result += mat4(-0.009617233, 0.03463696, -0.02096688, 0.030073844, 0.044995844, 0.07873687, -0.042068962, 0.13536318, -0.030567715, -0.05154325, 0.07210971, -0.17742214, 0.053942777, 0.0127787, 0.068606384, 0.0650419) * go_1(1.0, 0.0); result += mat4(0.025862409, 0.025395997, 0.05269671, 0.05798525, -0.042442568, 0.0445204, -0.064225905, -0.055657025, 0.11636964, -0.04205307, -0.014663356, 0.010643147, 0.082133, -0.023850026, 0.10308432, 0.107985206) * go_1(1.0, 1.0); result += mat4(0.11726699, 0.05656771, 0.02469043, -0.13420433, 0.038069904, -0.008463304, 0.035647616, 0.07362852, 0.14594945, 0.09443728, -0.090279855, -0.0491621, 0.025128877, -0.12093358, 0.056935582, 0.020768635) * go_2(-1.0, -1.0); result += mat4(-0.03540259, -0.037914194, -0.21112189, -0.019102415, -0.009190789, -0.017674621, -0.0076943026, -0.068069465, 0.07027692, -0.023830496, -0.19833852, 0.043303248, -0.09002839, 0.062405612, 0.034014236, 0.015062283) * go_2(-1.0, 0.0); result += mat4(-0.01055108, -0.078035474, 0.15064569, -0.043817606, 0.03865331, 0.06653527, -0.08737055, 0.07359416, 0.034335107, 0.094619036, 0.15430231, 0.081489205, 0.11551119, -0.13892402, 0.10169955, -0.016521193) * go_2(-1.0, 1.0); result += mat4(-0.21723948, -0.003718774, 0.0036089579, 0.2417116, 0.05871629, 0.08170726, -0.018392453, -0.09107411, -0.0054566264, -0.11625159, -0.028020184, -0.04901969, -0.06090618, 0.010701764, -0.054772582, 0.015806887) * go_2(0.0, -1.0); result += mat4(-0.12086319, 0.06057755, 0.4838376, 0.026492605, 0.0011703236, 0.016707094, 0.14285243, -0.019033382, -0.10223409, -0.25914297, 0.07972699, 0.08980557, 0.0018122899, -0.12970547, 0.28545263, 0.15324087) * go_2(0.0, 0.0); result += mat4(0.095036976, 0.162094, -0.13472636, 0.022491721, 0.0815172, 0.07862179, 0.051775135, -0.102338746, 0.050679415, -0.002904758, -0.06392857, -0.124154866, -0.031455033, 0.044263933, -0.01326217, -0.08059905) * go_2(0.0, 1.0); result += mat4(-0.017460492, 0.12181631, -0.05040324, 0.08211638, -0.07552046, 0.061242603, -0.06086253, 0.20668316, 0.13807769, 0.056059014, -0.05011972, -0.05253501, -0.012529453, -0.036754012, 0.14976881, 0.014519357) * go_2(1.0, -1.0); result += mat4(0.08175377, 0.03418494, -0.07925977, 0.01547301, -0.055616055, -0.0768169, 0.1390287, -0.020122616, -0.08055283, -0.08153747, -0.13700585, 0.09619712, 0.05064319, -0.010092189, -0.0375194, 0.08658357) * go_2(1.0, 0.0); result += mat4(0.073422946, 0.0146288825, -0.018180208, -0.13258615, -0.039849028, -0.043496124, -0.10103034, 0.026819391, 0.10169963, -0.0018588677, 0.038265944, 0.120759994, 0.004948789, 0.05993842, -0.04388326, 0.08129302) * go_2(1.0, 1.0); result += mat4(0.081689045, 0.014836045, 0.05355978, -0.01353243, 0.107137255, 0.064938255, 0.038997065, 0.07195731, 0.016222289, -0.078091234, 0.07403487, 0.028206307, 0.20964447, 0.1212519, -0.11971038, -0.061158486) * go_3(-1.0, -1.0); result += mat4(0.078742854, 0.13448513, -0.13717398, -0.034942567, 0.00084557495, -0.12339975, 0.14178696, 0.08150612, -0.03697507, 0.066154145, 0.13886937, -0.010311026, -0.24136373, -0.13241349, 0.24087813, 0.08533747) * go_3(-1.0, 0.0); result += mat4(0.03430129, 0.0037780532, -0.007673756, 0.020130971, -0.0044403607, -0.07021513, 0.10380787, 0.14933755, 0.041128885, -0.03377426, -0.049867447, 0.009597504, 0.16559608, 0.11873942, -0.13425362, -0.20407131) * go_3(-1.0, 1.0); result += mat4(-0.036280643, -0.06241548, 0.06455707, 0.049787894, -0.034338452, -0.09344071, 0.03835458, -0.006981486, -0.14018786, -0.011602153, 0.031711817, 0.14739467, -0.086071335, -0.02941477, -0.1331472, -0.1407458) * go_3(0.0, -1.0); result += mat4(-0.363801, -0.3426056, 0.43446818, 0.14184493, -0.043009415, 0.12158466, -0.00069684035, 0.016873702, 0.1945484, -0.012431146, -0.011880592, 0.05318626, 0.009308447, -0.03746046, 0.008252808, 0.19175647) * go_3(0.0, 0.0); result += mat4(0.028470002, 0.046196483, -0.019992633, -0.022190072, -0.02065911, 0.0012663519, 0.07120167, -0.044254795, -0.10193641, 0.030516576, 0.02787046, -0.04924085, -0.049268037, -0.07700933, -0.07501593, 0.024738712) * go_3(0.0, 1.0); result += mat4(0.030772889, 0.085558966, 0.010656247, -0.052993905, 0.092419, 0.011421665, -0.010418454, 0.11450772, 0.05909975, 0.04161958, -0.057470143, -0.030408699, 0.034243915, 0.018652268, 0.037665583, -0.10579696) * go_3(1.0, -1.0); result += mat4(0.033843916, -0.052055147, -0.0061939596, 0.14933237, -0.021384299, -0.11220086, 0.16817182, 0.07226995, -0.0019460522, 0.037093364, 0.006299001, -0.012791559, 0.07793023, 0.016396904, -0.17646463, 0.03107925) * go_3(1.0, 0.0); result += mat4(-0.079229996, -0.08031799, 0.074023575, 0.094321184, 0.107194535, 0.002679795, 0.01696248, 0.022019532, -0.060462113, -0.12410458, 0.09164494, 0.04465332, -0.036993235, -0.04089986, 0.07887512, 0.03705818) * go_3(1.0, 1.0); result += mat4(0.023879867, 0.029037073, 0.031775165, -0.012534231, -0.061297957, -0.12414688, -0.0061589857, 0.09904923, -0.015112107, 0.0025069374, -0.05153491, -0.06716497, -0.049514554, -0.035703696, 0.04182817, 0.06708679) * go_4(-1.0, -1.0); result += mat4(-0.02001713, -0.14557798, 0.032613203, 0.20243393, -0.013130612, -0.1395011, 0.03946799, -0.07323916, 0.07356177, 0.046725225, 0.05240954, -0.025315452, -0.06705972, 0.010152784, 0.005582486, -0.010632767) * go_4(-1.0, 0.0); result += mat4(0.01107158, 0.14361717, -0.01027669, -0.06977661, -0.015506498, -0.08009711, -0.049369916, 0.013256896, 0.09607297, 0.047628637, -0.004883173, -0.030504778, -0.021422993, 0.06514191, -0.057140954, -0.019981224) * go_4(-1.0, 1.0); result += mat4(0.047159072, 0.034381762, 0.14981769, -0.043645702, -0.124827474, 0.012525535, -0.0054960474, 0.1405509, 0.074576266, -0.021097016, 0.018321652, -0.056906573, 0.06499063, -0.0019109225, 0.08374337, -0.010492324) * go_4(0.0, -1.0); result += mat4(0.08373692, 0.15187778, -0.27014562, -0.17400904, -0.049838763, -0.22245635, 0.00080737704, 0.024572477, -0.36345053, 0.02694741, 0.057404008, 0.18956926, 0.26063764, 0.0007533811, -0.04845999, -0.10193579) * go_4(0.0, 0.0); result += mat4(-0.15060706, -0.17832954, 0.22891277, 0.082172275, 0.25026387, 0.10119867, -0.023256555, -0.025888028, -0.009437122, -0.063439816, 0.15555051, -0.050157774, 0.094762266, 0.03019711, -0.11379254, 0.018478116) * go_4(0.0, 1.0); result += mat4(-0.12000546, -0.022537604, 0.07280972, 0.16499762, 0.008056701, 0.066467926, -0.06497226, -0.15862136, 0.058946434, -0.0063008643, 0.041846216, -0.061596587, -0.13342406, -0.112567835, 0.06944396, 0.056088146) * go_4(1.0, -1.0); result += mat4(-0.030962473, -0.18805887, 0.2126654, -0.0027007672, -0.00648651, 0.079722315, -0.1538599, -0.07296181, -0.036658805, -0.09059722, 0.05471986, 0.08511789, 0.0007401954, 0.16351995, 0.05114691, -0.14328448) * go_4(1.0, 0.0); result += mat4(0.04927504, 0.041177347, -0.02346726, 0.024012934, -0.317856, -0.2841823, 0.19005524, 0.15457007, 0.087196484, 0.08966383, -0.13495699, -0.022624519, -0.062964186, -0.026302189, -0.030058028, 0.05569484) * go_4(1.0, 1.0); result += mat4(-0.21256535, -0.1256674, 0.04386876, 0.02686491, 0.07546727, 0.07505862, 0.020523047, -0.0647109, -0.0045183306, -0.06722965, -0.10788707, 0.045738406, -0.07110149, 0.08297262, -0.0027526245, -0.11636714) * go_5(-1.0, -1.0); result += mat4(-0.104496345, -0.07810094, 0.013820034, 0.047616083, 0.061721217, -0.05070667, -0.0873486, 0.08213846, 0.005749702, 0.019383933, 0.008758534, -0.041487392, -0.04724564, -0.09108384, -0.11880328, 0.009947664) * go_5(-1.0, 0.0); result += mat4(0.030759938, -0.032979824, -0.047346096, -0.013302729, -0.14408723, 0.042521305, -0.010729574, -0.053680096, 0.068864316, -0.017572708, -0.10045359, 0.0049988613, -0.0895897, 0.091285735, -0.18951705, -0.09892183) * go_5(-1.0, 1.0); result += mat4(0.038478836, -0.081761025, -0.08195131, 0.12914582, -0.12002848, -0.110520326, -0.09566576, 0.018972868, 0.040712226, -0.05793596, -0.0919947, 0.0019073535, -0.049140133, -0.028056612, -0.08551121, 0.012700745) * go_5(0.0, -1.0); result += mat4(0.17331201, 0.13677491, -0.04997954, 0.09988764, -0.089485645, -0.04612224, 0.13600495, -0.13690437, -0.102481514, -0.14464565, 0.12109368, 0.23495875, -0.06111496, -0.10306756, 0.034698345, 0.15709037) * go_5(0.0, 0.0); result += mat4(-0.012643798, 0.063074, -0.058778394, -0.056396093, -0.05438093, -0.015130332, 0.03852182, 0.11763278, 0.035115402, -0.05682689, -0.12658226, -0.04988596, 0.048134044, -0.19865042, 0.109279566, 0.10423599) * go_5(0.0, 1.0); result += mat4(0.10583719, 0.0113163935, -0.0031981077, -0.028149163, 0.045971226, 0.036225725, -0.06085606, 0.043069858, -0.08121652, -0.23354004, 0.13699675, -0.060893144, 0.05221622, 0.11881476, -0.0659965, -0.14909789) * go_5(1.0, -1.0); result += mat4(0.040611804, -0.10602289, -0.03361772, -0.04883893, -0.028734764, 0.05173029, 0.036734596, 0.19996317, -0.0009807746, -0.0415771, 0.008758702, 0.034872107, 0.0172699, 0.08084259, -0.06105373, 0.04255928) * go_5(1.0, 0.0); result += mat4(0.015299113, 0.051659316, -0.046948556, -0.003954264, -0.005800563, 0.021443516, 0.0071085985, 0.0038653556, -0.012855212, 0.13058828, -0.07044971, -0.12981774, -0.065569706, -0.098080546, 0.060221337, -0.02267232) * go_5(1.0, 1.0); result += mat4(0.021925988, 0.0033903953, -0.038551815, 0.022253161, -0.08025514, 0.010705209, 0.01990159, -0.010836922, -0.100784704, -0.020371707, -0.003533104, -0.014453031, -0.09296767, 0.114152946, -0.09816377, -0.05605566) * go_6(-1.0, -1.0); result += mat4(0.024052007, 0.0076485197, -0.014629995, 0.06683915, 0.07951316, 0.021709364, -0.037089862, -0.020869136, -0.11817369, 0.03075232, -0.03773024, -0.07258729, 0.10942977, -0.013703647, -0.0042897686, -0.04358183) * go_6(-1.0, 0.0); result += mat4(-0.0046099517, -0.05240763, -0.015601794, 0.010184972, 0.01799307, -0.039324455, 0.05117223, -0.036190648, -0.09316509, 0.004145605, 0.11233925, -0.023034701, -0.09088562, 0.06628762, -0.01225783, -0.0012409297) * go_6(-1.0, 1.0); result += mat4(0.032804858, -0.17500286, 0.00961667, -0.017876368, 0.028494174, 0.069435544, -0.015773311, 0.023463074, 0.0015966955, 0.13775815, 0.020481227, -0.025414297, 0.14772649, 0.12043967, -0.0628352, -0.104317315) * go_6(0.0, -1.0); result += mat4(0.10589171, 0.010616621, -0.0555519, -0.0795588, -0.02541814, -0.061566357, -0.06662627, 0.1196147, 0.15489292, 0.034945585, -0.16369933, 0.021373538, -0.2541264, -0.44340774, 0.47674945, 0.171201) * go_6(0.0, 0.0); result += mat4(0.028510967, 0.014371279, -0.103142746, -0.010580394, 0.0010098416, 0.0076248804, -0.07597531, -0.022805681, -0.05487249, -0.05104925, 0.05199367, 0.13347325, -0.08393004, -0.0701232, -0.08901793, -0.042123932) * go_6(0.0, 1.0); result += mat4(-0.026462447, -0.10791574, 0.05057912, 0.036235824, -0.011467163, 0.019233258, -0.025482355, -0.15424, -0.057926964, 0.10093948, -0.01392631, -0.040162254, -0.059321795, -0.05425772, -0.05438917, -0.033259034) * go_6(1.0, -1.0); result += mat4(0.0011889589, -0.023323996, -0.0613446, -0.115895376, 0.050403714, -0.02889743, -0.059284817, -0.07242897, -0.0028701979, 0.04654718, -0.06953315, -0.03487799, -0.05999425, 0.09813447, -0.10942578, -0.13293572) * go_6(1.0, 0.0); result += mat4(-0.10951783, -0.082228996, 0.09871249, 0.097529456, 0.08310757, 0.03422834, 0.047492176, -0.06874066, -0.0759589, -0.0033077076, -0.0024196375, 0.023463583, -0.014742949, -0.034303434, 0.04273789, -0.0164727) * go_6(1.0, 1.0); result += mat4(-0.08497372, 0.019795286, -0.015950322, -0.057297662, -0.0223747, -0.009376575, 0.043156173, -0.01271999, -0.07724598, -0.0540987, 0.1987636, 0.076389305, -0.094129756, -0.042982556, 0.07314102, -0.013628902) * go_7(-1.0, -1.0); result += mat4(0.03750869, 0.07698087, -0.117014386, -0.05225745, 0.11294297, -0.031999957, 0.03704065, -0.021167262, -0.0862934, -0.06753798, 0.19105913, 0.10699714, 0.04170076, 0.072142765, -0.10197827, -0.1055865) * go_7(-1.0, 0.0); result += mat4(-0.013107477, 0.09128649, -0.05787237, -0.049287997, -0.07878871, 0.019254869, -0.07480948, 0.07593456, 0.057818025, 0.05763952, -0.031697746, 0.0056809774, -0.01645009, -0.10795878, 0.0865629, -0.030644817) * go_7(-1.0, 1.0); result += mat4(0.115899526, 0.055816144, -0.016174385, -0.02820764, -0.05774452, 0.01875526, -0.11483548, -0.027121585, -0.0046210997, -0.0051070275, 0.23290497, 0.19008842, 0.010742899, 0.04031036, 0.07566202, 0.11333676) * go_7(0.0, -1.0); result += mat4(-0.12043958, -0.28603542, 0.06397322, 0.13864613, 0.21166763, 0.14297609, -0.18247512, -0.1454749, -0.11123017, 0.1410923, -0.11315098, -0.17875485, -0.043366186, 0.07890019, 0.03153579, -0.03690313) * go_7(0.0, 0.0); result += mat4(0.066808365, 0.102260545, -0.1077725, -0.07374767, 0.04282324, -0.02484866, -0.09705394, 0.047179155, 0.03058672, -0.11111413, -0.080625035, 0.024875682, -0.043648057, 0.04860828, 0.05114606, 0.08051415) * go_7(0.0, 1.0); result += mat4(-0.0186498, -0.050304867, 0.0034133345, -0.10127962, -0.037291683, -0.090286255, 0.081160225, 0.016121808, 0.07449416, 0.09616372, -0.11090895, -0.15756927, 0.05957192, 0.0053342422, -0.05972524, 0.07521942) * go_7(1.0, -1.0); result += mat4(-0.03800213, 0.05256445, -0.022509284, 0.008419448, -0.08595732, 0.0037854793, -0.050306506, -0.057507675, -0.19598673, -0.063246034, -0.15284, 0.13269582, -0.025323318, 0.016622456, 0.021527806, -0.1195862) * go_7(1.0, 0.0); result += mat4(0.008493042, 0.056067012, -0.031050796, -0.06514964, -0.06500391, -0.02649145, 0.08311761, 0.0028549077, 0.0029055455, -0.08504145, 0.19540878, 0.14506, 0.100824416, -0.025171654, -0.018510107, -0.06984087) * go_7(1.0, 1.0); result += vec4(0.02732881, 0.021604052, -0.03920548, 0.013156768); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-4x3x3x32 //!HOOK MAIN //!BIND conv0ups //!BIND conv0ups1 //!BIND conv0ups2 //!BIND conv0ups3 //!SAVE conv1ups2 //!WIDTH conv0ups.w 4 * //!HEIGHT conv0ups.h 4 * //!COMPONENTS 4 //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv0ups_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_1(x_off, y_off) (max((conv0ups1_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_2(x_off, y_off) (max((conv0ups2_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_3(x_off, y_off) (max((conv0ups3_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_4(x_off, y_off) (max(-(conv0ups_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_5(x_off, y_off) (max(-(conv0ups1_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_6(x_off, y_off) (max(-(conv0ups2_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) #define go_7(x_off, y_off) (max(-(conv0ups3_texOff(vec2(x_off, y_off) * 0.5)), 0.0)) vec4 hook() { vec4 result = mat4(-0.0338484, 0.065554306, 0.022499017, -0.07193342, 0.009319206, -0.019622665, -0.0022854384, 0.06722955, -0.037171688, 0.21049353, -0.12840205, 0.004924503, -0.025024865, 0.25844762, -0.16657548, 0.019917585) * go_0(-1.0, -1.0); result += mat4(-0.0024739709, 0.05143312, -0.07328386, 0.04066767, 0.030474328, -0.012129753, 0.018400962, 0.029891983, 0.05170059, 0.10843976, 0.03255985, 0.032410163, -0.07313554, 0.035621487, -0.09497017, -0.04373978) * go_0(-1.0, 0.0); result += mat4(-0.033401582, -0.040989492, 0.020176526, -0.02860895, 0.048755184, -0.11871396, -0.06562844, -0.012969062, -0.113225095, 0.20629893, -0.008754771, -0.08881375, -0.0021345627, -0.1245763, -0.079098016, -0.05463282) * go_0(-1.0, 1.0); result += mat4(0.1397842, 0.025592009, 0.08919784, -0.0018412827, -0.09593857, -0.044012453, 0.05244065, 0.0018048901, 0.03681817, -0.05537194, 0.11957837, 0.08423482, -0.032438703, 0.013607357, 0.007749519, 0.03162995) * go_0(0.0, -1.0); result += mat4(0.10553414, -0.049609825, 0.10316826, -0.0030610282, 0.018270468, -0.061325338, -0.114640795, 0.07834803, -0.19039996, -0.06895166, -0.28123093, -0.1568968, 0.00084810314, 0.12037387, 0.18976732, -0.012560539) * go_0(0.0, 0.0); result += mat4(-0.029349862, -0.039899964, -0.028504632, -0.028814254, 0.019151794, 0.010422004, 0.07810853, -0.013528557, -0.023518454, -0.068328835, 0.07349284, 0.0042851837, 0.32870826, -0.26289937, 0.072471805, -0.006485071) * go_0(0.0, 1.0); result += mat4(-0.114259824, -0.038230922, -0.0142895905, 0.02450442, -0.07750744, -0.017409299, 0.025817273, -0.08860796, 0.187305, 0.088102676, 0.045698132, -0.03222616, -0.05683522, -0.18788742, -0.09507957, 0.022035798) * go_0(1.0, -1.0); result += mat4(0.11263524, 0.06584172, -0.02255806, -0.020872615, -0.15806857, 0.018830763, -0.14352055, 0.11724111, 0.045604244, 0.07796575, 0.027300917, 0.0031999366, -0.04194185, 0.14252312, 0.078917086, 0.036697272) * go_0(1.0, 0.0); result += mat4(-0.052083753, 0.09808133, -0.009411908, 0.11982238, -0.040272884, 0.04083718, 0.038824633, -0.17214175, 0.11966622, -0.054194614, 0.036954165, 0.013423128, 0.0063084476, -0.12937415, -0.019893749, 0.034319002) * go_0(1.0, 1.0); result += mat4(0.035393953, 0.14025599, 0.00991204, 0.0072391164, 0.05766178, -0.049370795, -0.12962799, 0.020646155, 0.042220477, 0.029985424, 0.057119016, 0.040771853, -6.174299e-05, 0.09748859, -0.03377361, 0.002246882) * go_1(-1.0, -1.0); result += mat4(-0.21506493, -0.09882148, 0.055594433, -0.06410465, 0.015674507, 0.08875788, -0.0006478795, -0.04977159, 0.22082454, -0.23415801, -0.08875935, 0.018581826, -0.038377263, 0.10177655, 0.083047464, -0.032258555) * go_1(-1.0, 0.0); result += mat4(-0.0064842016, 0.0696411, -0.039478038, 0.04577863, 0.09780145, 0.028456237, -0.027617568, 0.04454641, 0.052396413, -0.018456027, 0.006240904, 0.07230352, -0.064150326, -0.03366613, -0.07332717, 0.053449873) * go_1(-1.0, 1.0); result += mat4(0.023726959, -0.01828639, -0.007445437, 0.04195106, 0.008480755, 0.09939679, 0.0056850864, -0.031904347, -0.1588084, 0.08464271, 0.056286097, 0.06798317, -0.116808765, 0.030872507, 0.13454725, -0.07143643) * go_1(0.0, -1.0); result += mat4(-0.01810022, -0.09620326, -0.07751335, -0.22906737, -0.1846048, 0.082176685, 0.012124299, -0.12939751, -0.27217293, 0.33110878, 0.084210694, 0.14638188, 0.1365236, -0.15294541, -0.0886321, 0.104566276) * go_1(0.0, 0.0); result += mat4(0.012840808, 0.0013052316, -0.032042626, 0.081946686, -0.047170527, 0.034932077, 0.03316669, -0.051371098, 0.124509424, -0.018540544, -0.0003837269, 0.022210114, 0.055204254, -0.013787497, -0.014764483, -0.15336047) * go_1(0.0, 1.0); result += mat4(0.012599393, 0.17533247, 0.022991834, -0.03211304, -0.020345578, 0.113983504, 0.014632539, -0.05887958, -0.15806466, -0.09464611, -0.04534859, -0.12347738, -0.1520882, 0.011230014, 0.004455861, -0.14973375) * go_1(1.0, -1.0); result += mat4(-0.065917194, -0.035512056, 0.031102693, 0.060933307, -0.02593658, -0.109777324, -0.032401618, 0.13028993, -0.020557994, -0.117559545, 0.08317679, -0.23354602, -0.01592865, 0.15928279, 0.08244633, 0.1479819) * go_1(1.0, 0.0); result += mat4(-0.010819472, 0.075779155, -0.019519886, 0.102649584, 0.014980766, 0.019251958, -0.011685782, -0.034067437, 0.031849053, -0.0682728, 0.01790959, 0.037713315, -0.08211083, -0.19022603, -0.11798944, -0.016174912) * go_1(1.0, 1.0); result += mat4(0.08153453, -0.033585638, -0.05805481, 0.08109556, -0.09689133, -0.13055512, 0.0020046325, -0.0029349518, -0.059510633, 0.15292683, -0.028793702, 0.10537188, -0.11035281, -0.033447333, -0.05262533, 0.009009325) * go_2(-1.0, -1.0); result += mat4(0.086087056, -0.14889634, 0.042120934, -0.06588642, 0.1940191, 0.012082308, 0.08089485, -0.041559532, -0.03492583, 0.1454766, 0.15322363, -0.056349102, -0.008337302, -0.11122289, 0.08725018, -0.041136846) * go_2(-1.0, 0.0); result += mat4(-0.07462607, -0.1379561, 0.111250386, 0.00933672, -0.075622365, 0.09021725, -0.020666929, 0.08124079, 0.017696096, 0.0752183, -0.14648217, 0.03699762, 0.05343026, 0.041577548, 0.04425649, 0.038728572) * go_2(-1.0, 1.0); result += mat4(-0.28092107, 0.014610808, 0.031096937, -0.047036063, 0.07267492, 0.10750966, 0.037799418, 0.0427444, 0.065877795, -0.1897678, -0.10701984, 0.056794036, 0.09691212, -0.079896726, -0.16408308, -0.06213223) * go_2(0.0, -1.0); result += mat4(0.102322266, -0.042147823, -0.005965635, 0.115143105, 0.032525055, 0.11558508, 0.039382882, 0.013844102, -0.30971003, -0.1787396, 0.17922688, 0.109392576, -0.20874697, 0.3574331, 0.09885736, 0.0124685895) * go_2(0.0, 0.0); result += mat4(-0.07606679, 0.044524554, -0.204831, 0.018925387, 0.043661278, -0.09994074, -0.047482055, -0.076295644, -0.13582784, 0.021150025, 0.07623231, -0.2527894, -0.044508826, -0.1361137, -0.052458636, 0.0060945638) * go_2(0.0, 1.0); result += mat4(-0.24358742, -0.19750693, -0.03287655, -0.09131948, -0.14900212, 0.094384186, -0.06253741, -0.07731997, -0.019795047, 0.18039484, 0.022465153, 0.08112141, -0.07019665, -0.11493766, 0.031531274, 0.13177846) * go_2(1.0, -1.0); result += mat4(-0.0028166103, 0.026403846, 0.07810358, 0.075667195, 0.054464176, 0.11381084, -0.030715328, 0.047939852, -0.07111295, -0.06292313, -0.013460788, 0.11503772, 0.02669688, -0.021964677, 0.07739555, -0.0881556) * go_2(1.0, 0.0); result += mat4(0.054037657, 0.066638805, 0.018380845, -0.16307901, -0.033807877, 0.040921956, 0.054057736, -0.008528517, 0.06167168, -0.013450273, -0.060173254, 0.09289553, -0.014110446, 0.024162242, 0.0072062127, 0.0926438) * go_2(1.0, 1.0); result += mat4(-0.11985171, 0.2359919, 0.0144552775, 0.029399775, -0.03222405, 0.07396268, 0.062363308, 0.044030357, -0.06955766, 0.059913747, -0.022207176, -0.10455009, -0.060708135, -0.06720781, 0.16230921, -0.030470075) * go_3(-1.0, -1.0); result += mat4(0.07268368, -0.037689302, -0.0006378789, 0.051688604, -0.019494677, -0.017889218, 0.05410681, -0.040959217, -0.06665803, -0.052186687, -0.011745927, 0.065545335, 0.022045728, -0.20375493, -0.21016856, -0.06762163) * go_3(-1.0, 0.0); result += mat4(-0.040465668, 0.083778955, 0.013434762, 0.038755294, -0.03848534, 0.17731902, -0.14471298, 0.05322156, 0.03127178, -0.08950242, 0.030044436, 0.01130042, -0.095673226, -0.04327992, 0.17350353, -0.007612962) * go_3(-1.0, 1.0); result += mat4(0.04460292, -0.0031078972, 0.09711241, -0.06866971, -0.09262918, -0.084769346, 0.044754326, -0.10665114, 0.031228391, 0.0043790033, 0.03309391, 0.012486857, 0.23425025, 0.18271132, 0.1578141, -0.010678736) * go_3(0.0, -1.0); result += mat4(-0.23845, 0.0423187, -0.12128633, -0.05818152, 0.13192599, -0.17009136, 0.04724319, 0.16300885, -0.060048696, -0.12740998, -0.05801625, 0.09705509, -0.054194454, -0.045284186, -0.1337804, -0.10992719) * go_3(0.0, 0.0); result += mat4(0.1269832, -0.00020299156, 0.009369462, -0.037925567, 0.06473351, -0.053221237, -0.023879515, -0.007609877, 0.03754909, -0.048159488, -0.0023679247, -0.09056524, 0.16713028, 0.031278312, 0.056081764, -0.01342129) * go_3(0.0, 1.0); result += mat4(-0.006760647, -0.09083782, 0.04076341, 0.094751135, -0.11061844, 0.11762189, -0.029435495, -0.035688248, 0.01733549, 0.006295947, 0.07678848, 0.011829498, 0.13984568, 0.094927594, -0.016725674, 0.08158711) * go_3(1.0, -1.0); result += mat4(-0.1407642, -0.007187024, 0.018776545, -0.020115253, -0.12947425, 0.015566826, -0.06499993, 0.08037844, -0.017578483, -0.16355678, -0.028960422, 0.05753649, 0.031915013, 0.011823553, 0.1314363, 0.06283287) * go_3(1.0, 0.0); result += mat4(-0.13424446, 0.03710137, -0.001757102, 0.03187992, 0.009409756, 0.047699206, -0.047759157, -0.010402033, -0.023234572, 0.17230392, 0.05499921, -0.10467258, -0.072978646, -0.11991742, -0.04271921, 0.16269293) * go_3(1.0, 1.0); result += mat4(-0.0068589947, -0.26210552, -0.028049361, 0.0508914, -0.06342279, -0.017710757, -0.10827407, -0.04158776, 0.010000253, 0.13532205, -0.029077342, -0.008479235, -0.017489685, 0.014850057, 0.10131407, -0.106664196) * go_4(-1.0, -1.0); result += mat4(-0.05549442, 0.09201339, -0.02593227, 0.012624096, -0.13465008, 0.16814372, 0.041814398, -0.04289135, -0.008671042, -0.20095816, 0.020371959, 0.008665319, -0.011442868, -0.1494836, -0.010815872, 0.0009426651) * go_4(-1.0, 0.0); result += mat4(-0.047082372, 0.11580641, 0.03437082, -0.0026988252, -0.090915054, 0.08479583, -0.027014773, 0.054158032, 0.08011723, 0.12726231, 0.094610505, -0.04432765, -0.043526918, 0.08176591, 0.023957808, 0.039001796) * go_4(-1.0, 1.0); result += mat4(-0.037610386, -0.1495413, -0.027353996, -0.032410443, 0.022113096, 0.019668896, 0.025676545, 0.08550669, -0.007179362, 0.111334786, 0.08080671, -0.05753153, 0.031270105, -0.1425512, -0.09165007, 0.01756688) * go_4(0.0, -1.0); result += mat4(0.22160032, 0.13278869, 0.04946508, -0.061732106, -0.19966283, 0.19398785, -0.061616797, -0.1682507, -0.062497444, -0.020768918, -0.06906264, 0.043145705, 0.06686389, 0.049333394, 0.06813221, 0.012300859) * go_4(0.0, 0.0); result += mat4(-0.18407853, 0.097527325, -0.08464557, 0.007581164, -0.12695311, 0.14365268, 0.06944541, -0.028422976, -0.08575999, -0.039222028, -0.1065246, 0.09277164, 0.064852476, -0.010674806, -0.039577603, 0.038126856) * go_4(0.0, 1.0); result += mat4(-0.18967858, 0.07602103, -0.0452525, -0.005815137, 0.064602256, 0.19784397, -0.06377635, 0.10113932, -0.084867395, 0.09198673, -0.03678686, -0.04831252, 0.021673752, -0.063052855, 0.030094262, 0.008151946) * go_4(1.0, -1.0); result += mat4(-0.17149659, 0.20685393, -0.037902117, -0.012043228, -0.004601577, 0.07037727, 0.0036602912, -0.13277285, -0.07140659, -0.100629926, -4.176998e-05, 0.0071237916, 0.08050488, -0.0037456674, -0.037059076, 0.022898288) * go_4(1.0, 0.0); result += mat4(0.08819892, -0.01620132, -0.08606113, -0.046711806, -0.22001751, -0.052349057, -0.042775627, 0.11901976, 0.009456978, 0.13828641, 0.031084664, -0.014549527, -0.07343933, -0.120635025, -0.0549436, -0.091890045) * go_4(1.0, 1.0); result += mat4(-0.03245801, -0.03380752, -0.19868882, 0.002510671, -0.07583146, 0.14605276, 0.03508497, 0.000112569716, 0.0203838, 0.074883066, 0.048457384, -0.03624031, 0.017366555, -0.025235461, 0.011553053, -0.0044929474) * go_5(-1.0, -1.0); result += mat4(-0.0077082603, 0.043983724, 0.08835361, 0.030281665, -0.024455173, 0.13851254, 0.036828175, 0.013134612, 0.046743285, -0.10766694, 0.065832436, 0.0038662716, -0.043496363, -0.08309659, -0.08094711, 0.0848714) * go_5(-1.0, 0.0); result += mat4(0.013103031, -0.12286342, -0.055714123, 0.01786344, 0.049958743, -0.06488927, 0.023186902, -0.0106724445, 0.04120055, -0.11552327, 0.101330966, -0.0006924794, -0.0020777578, 0.21546337, 0.0018756012, -0.08498371) * go_5(-1.0, 1.0); result += mat4(-0.033325154, -0.08459969, 0.112720825, 0.00675488, 0.0040757647, -0.18720984, -0.031401563, 0.037159648, 0.1575527, -0.041114517, -0.17869847, 0.07061165, -0.04131886, 0.006737727, 0.07336905, -0.0008500361) * go_5(0.0, -1.0); result += mat4(-0.07215131, 0.21968116, 0.059645798, 0.18761322, -0.07151226, -0.071514666, -0.08546688, -0.19312736, -0.017145814, 0.17245525, -0.1206946, -0.15861532, 0.013621306, -0.07887318, -0.14993054, -0.11080947) * go_5(0.0, 0.0); result += mat4(0.017518861, 0.030952519, 0.016827656, -0.03837562, 0.07341383, -0.048610494, 0.050820123, 0.031829312, -0.10208572, 0.017096514, 0.011909018, 0.17583928, -0.1004084, 0.08367472, 0.087540604, 0.14205597) * go_5(0.0, 1.0); result += mat4(0.061692897, -0.06249078, -0.07515134, 0.041771267, -0.02176024, -0.021748755, 0.048541967, 0.0799106, 0.004964116, -0.009022794, -0.090804085, 0.039782178, 0.14221238, 0.13084048, -0.02012579, 0.053085294) * go_5(1.0, -1.0); result += mat4(0.073503084, 0.12030335, 0.016867403, -0.100202195, 0.08033366, 0.11290384, -0.024811089, 0.14120121, -0.029295236, 0.011535982, -0.009586436, 0.023111636, 0.11733249, -0.05684811, -0.021229435, -0.014981166) * go_5(1.0, 0.0); result += mat4(-0.0028471397, -0.15393218, -0.03991392, -0.046677485, -0.034202207, 0.07922862, 0.024672583, -0.018478299, 0.10676781, 0.19975203, 0.09829708, 0.030875562, -0.08323281, 0.1287575, 0.007982256, 0.012422479) * go_5(1.0, 1.0); result += mat4(0.00792915, 0.11354015, 0.017034046, -0.033009302, 0.07262295, 0.014038035, 0.027686022, -0.05569358, 0.04937052, -0.011838218, -0.017620115, -0.023960475, 0.089869, 0.12609829, -0.14517121, -0.009979609) * go_6(-1.0, -1.0); result += mat4(0.019373287, 0.0037227296, 0.06739467, 0.0411633, -0.079600014, -0.20017749, -0.02489001, 0.038435437, -0.0169052, -0.076866195, -0.12707292, -0.013147386, 0.08209406, 0.06460137, 0.0038622238, 0.023936275) * go_6(-1.0, 0.0); result += mat4(-0.026064714, 0.14228158, 0.02997548, 0.017698815, -0.05878976, -0.025017649, 0.04031136, -0.06725938, 0.07552142, -0.03974361, -0.045101356, -0.05215901, -0.08304946, -0.012352627, -0.005432024, -0.07347573) * go_6(-1.0, 1.0); result += mat4(0.08631798, 0.0059085204, -0.000113723494, 0.0136576705, 0.04475684, -0.08430876, 0.1027275, -0.007361284, 0.041882366, 0.15399557, 0.04095392, 0.026290612, -0.0145415, -0.060129408, 0.008640187, 0.017547447) * go_6(0.0, -1.0); result += mat4(-0.07755721, -0.023862703, -0.12206824, -0.07903689, 0.020078411, -0.18405053, -0.23792996, 0.082826346, -0.0028775565, 0.22255163, -0.0033731712, -0.070980065, -0.31968543, 0.19510844, -0.050848253, -0.030311922) * go_6(0.0, 0.0); result += mat4(0.07346858, 0.051935203, -0.026379986, -0.024370745, 0.024842456, -0.061906833, 0.0648532, 0.07545226, -0.17644612, 0.13334613, -0.0035676474, 0.08756031, -0.0045107, 0.029391827, 0.09687544, -0.039636135) * go_6(0.0, 1.0); result += mat4(0.13012199, 0.11310699, 0.0153783355, 0.14073592, 0.1159848, 0.0032372207, 0.013842089, 0.11203719, 0.052464556, -0.038527843, 0.06364611, -0.0014865476, 0.17000985, -0.002907841, 0.002437505, -0.13002418) * go_6(1.0, -1.0); result += mat4(-0.055245295, 0.04185124, 0.00037150137, -0.09770801, -0.05064562, -0.10450231, 0.12021894, -0.09199362, 0.07554563, -0.039503135, -0.033728927, -0.07260611, 0.0153599335, -0.08457373, -0.028576847, 0.042632796) * go_6(1.0, 0.0); result += mat4(-0.044485796, 0.037724104, 0.041926168, 0.006704794, -0.07147152, 0.013727192, 0.011708799, -0.04588657, 0.066578485, -0.10720429, -0.0730237, 0.04708655, 0.052229885, -0.044047564, 0.07113318, -0.030633615) * go_6(1.0, 1.0); result += mat4(0.07849379, -0.04046586, -0.07431907, -0.03731069, 0.0049431417, -0.0903937, 0.024687393, -0.017909456, 0.06637542, -0.16175899, -0.02460091, 0.05987552, 0.09738359, 0.0064948746, -0.0138260815, 0.049470525) * go_7(-1.0, -1.0); result += mat4(-0.032993518, -0.018154949, 0.058810174, -0.016374158, 0.042725, 0.21160744, 0.097916126, 0.04984194, 0.01650177, 0.06883078, 0.1381874, -0.08069465, -0.13565733, 0.20012212, -0.022712095, -0.0380238) * go_7(-1.0, 0.0); result += mat4(0.03148708, 0.0965706, -0.025645912, -0.023996383, -0.036854897, 0.054054458, -0.16218668, -0.00390272, -0.096665986, 0.07244674, -0.096268326, 0.12596634, -0.0054489775, 0.018738326, -0.051350895, -0.1423746) * go_7(-1.0, 1.0); result += mat4(0.0489154, 0.034897592, 0.026298728, 0.1030706, 0.021691274, -0.13979298, -0.10044236, 0.09618537, -0.3756147, 0.19392237, 0.043701947, 0.0372157, -0.19100708, 0.03706645, -0.052757483, 0.011999661) * go_7(0.0, -1.0); result += mat4(-0.26170048, 0.00018108879, -0.21298628, -0.03632615, 0.20709798, 0.06626491, -0.09643573, -0.07262732, 0.08431118, 0.13428009, 0.08195883, -0.013723568, -0.016745638, 0.007309863, 0.09061577, 0.13009012) * go_7(0.0, 0.0); result += mat4(0.00415379, 0.006674434, 0.11022577, 0.106347226, -0.017565781, 0.047206245, 0.099264786, -0.15451689, 0.16980271, 0.001391259, -0.17169356, 0.028775409, -0.004397513, 0.077122204, 0.010226694, 0.023086183) * go_7(0.0, 1.0); result += mat4(-0.023648756, 0.15455274, -0.11006288, -0.074025065, 0.0423713, -0.08764005, 0.055211913, 0.04732732, -0.0048447615, 0.3040946, 0.20046064, -0.10624875, -0.10706571, -0.0002826197, -0.06487796, -0.062007286) * go_7(1.0, -1.0); result += mat4(0.017490221, 0.030333612, -0.0015039118, -0.039954375, -0.016329238, -0.04124172, 0.0694377, -0.029093096, 0.17286836, -0.18490317, -0.2606389, -0.13979673, 0.0012922491, 0.02181941, -0.023836609, -0.05584063) * go_7(1.0, 0.0); result += mat4(0.099456415, -0.024694387, -0.00025692413, -0.070630156, -0.07398711, -0.008068556, 0.053319667, 0.102825016, -0.16989474, 0.10998221, -0.053715512, 0.27778512, 0.09010463, -0.033159524, -0.06116807, -0.086112395) * go_7(1.0, 1.0); result += vec4(0.023720283, -0.050228078, 0.017233998, 0.0038643035); return result; } //!DESC Anime4K-v4.1-Upscale-GAN-x4-(UL)-Conv-3x3x3x24 //!HOOK MAIN //!BIND MAIN //!BIND conv1ups //!BIND conv1ups1 //!BIND conv1ups2 //!SAVE MAIN //!WIDTH conv1ups.w //!HEIGHT conv1ups.h //!WHEN OUTPUT.w MAIN.w / 1.200 > OUTPUT.h MAIN.h / 1.200 > * #define go_0(x_off, y_off) (max((conv1ups_texOff(vec2(x_off, y_off))), 0.0)) #define go_1(x_off, y_off) (max((conv1ups1_texOff(vec2(x_off, y_off))), 0.0)) #define go_2(x_off, y_off) (max((conv1ups2_texOff(vec2(x_off, y_off))), 0.0)) #define go_3(x_off, y_off) (max(-(conv1ups_texOff(vec2(x_off, y_off))), 0.0)) #define go_4(x_off, y_off) (max(-(conv1ups1_texOff(vec2(x_off, y_off))), 0.0)) #define go_5(x_off, y_off) (max(-(conv1ups2_texOff(vec2(x_off, y_off))), 0.0)) vec4 hook() { vec4 result = mat4(0.013777687, 0.008274202, 0.015532511, 0.0, 0.023658138, 0.021084072, 0.023679586, 0.0, -0.012574975, -0.0014938707, 0.00061928877, 0.0, -0.026688136, -0.0131240375, -0.029466102, 0.0) * go_0(-1.0, -1.0); result += mat4(0.0075748703, 0.037946086, 0.049140524, 0.0, 0.010126231, 0.012523378, 0.0071613602, 0.0, 0.0047583925, -0.0031088165, 0.0036479481, 0.0, -0.009168726, -0.020650811, -0.016528934, 0.0) * go_0(-1.0, 0.0); result += mat4(-0.008073782, -0.020479651, -0.022079756, 0.0, 0.01524409, 0.013631518, 0.004791737, 0.0, -0.003348518, -0.00012732612, -0.0032449244, 0.0, 0.032580297, 0.029008314, 0.029523863, 0.0) * go_0(-1.0, 1.0); result += mat4(0.005337033, 0.024427935, 0.029425737, 0.0, 0.002468151, 0.0012733386, -0.0011684209, 0.0, 0.002045998, -0.007824469, -0.0075536054, 0.0, -0.0025498376, 0.00059123064, 0.010667408, 0.0) * go_0(0.0, -1.0); result += mat4(0.07574702, 0.077039376, 0.07525205, 0.0, -0.018930318, -0.0210399, -0.007369101, 0.0, 0.0050703366, 0.009866225, 0.002731688, 0.0, 0.007364458, -0.012537245, -0.010698353, 0.0) * go_0(0.0, 0.0); result += mat4(0.005033512, 0.0047755903, 0.015485579, 0.0, -0.0076447823, 0.0020293589, 0.00019690525, 0.0, -0.0046711015, -0.01096428, -0.003273942, 0.0, 0.011243453, 0.0026243145, -0.014977678, 0.0) * go_0(0.0, 1.0); result += mat4(-0.017157702, -0.012480959, -0.014230813, 0.0, -0.006353115, -0.0144039225, -0.0072659636, 0.0, -0.0063480805, -0.0026584982, -0.0028146124, 0.0, -0.014504389, -0.00762131, -0.006355321, 0.0) * go_0(1.0, -1.0); result += mat4(-0.010236374, 0.0015838058, -0.002143899, 0.0, -0.010755707, 0.0139974225, 0.01655249, 0.0, 0.00724032, 0.003991714, 0.0058728596, 0.0, 0.001585017, -0.005878744, -0.00640518, 0.0) * go_0(1.0, 0.0); result += mat4(0.017572062, 0.003026812, 0.000502698, 0.0, 0.009834272, -0.0064451154, -0.0037888729, 0.0, 0.0045153787, -0.0040877387, -0.011132165, 0.0, -0.0068930765, 0.0060301176, 0.015776195, 0.0) * go_0(1.0, 1.0); result += mat4(0.015143155, 0.022271771, 0.034353774, 0.0, 0.0500171, 0.008916114, -0.045639534, 0.0, 0.00028884446, 0.0017308572, 0.00027971982, 0.0, 0.018710924, 0.013322625, 0.013863731, 0.0) * go_1(-1.0, -1.0); result += mat4(-0.0098540895, 0.009972838, 0.019292414, 0.0, 0.13954006, 0.029867204, 0.042765502, 0.0, -0.014894827, -0.015658824, -0.012828792, 0.0, -0.011597975, -0.011326242, -0.010546538, 0.0) * go_1(-1.0, 0.0); result += mat4(0.057973996, 0.045629892, 0.035723437, 0.0, -0.03996296, -0.034121662, -0.021559378, 0.0, 0.0015233392, 0.0056360536, 0.005471655, 0.0, 0.015035284, 0.014042433, 0.004807508, 0.0) * go_1(-1.0, 1.0); result += mat4(-0.019333394, 0.00010878696, 0.020713285, 0.0, 0.067461416, 0.07469616, 0.021785917, 0.0, 0.009209406, -0.00040594328, 0.004494759, 0.0, -0.014130696, 0.0034270098, 0.009287614, 0.0) * go_1(0.0, -1.0); result += mat4(-0.1766193, -0.13014358, -0.13271952, 0.0, -0.18652712, -0.1799382, -0.19059698, 0.0, 0.008356371, -0.0005271801, -0.0013760106, 0.0, -0.026972191, -0.0041560223, 0.005715922, 0.0) * go_1(0.0, 0.0); result += mat4(-0.029307544, -0.022682507, -0.027960105, 0.0, 0.10883932, 0.04878273, 0.091446914, 0.0, 0.0020139932, -0.008916592, -0.016010206, 0.0, -0.017582655, -0.011510589, -0.007895361, 0.0) * go_1(0.0, 1.0); result += mat4(0.078397095, 0.024916336, -0.0019469182, 0.0, -0.10098231, 0.020777855, 0.018642282, 0.0, -0.02282252, 0.001186239, 0.0019293322, 0.0, 0.040787082, 0.020173319, 0.0023912336, 0.0) * go_1(1.0, -1.0); result += mat4(0.0013556932, 0.015377351, 0.006556408, 0.0, -0.05026192, 0.065591745, 0.11644179, 0.0, -0.0014394359, -0.0027219045, -0.0041813366, 0.0, -0.011724467, -0.003224058, 0.0052535357, 0.0) * go_1(1.0, 0.0); result += mat4(0.0043969746, -0.0119146835, -0.003386241, 0.0, 0.0020662902, -0.014350566, 0.008487526, 0.0, 0.01943664, 0.0066225696, 0.0050567226, 0.0, 0.004659311, -0.01749611, -0.015248497, 0.0) * go_1(1.0, 1.0); result += mat4(-0.1691309, 0.010184013, 0.11859181, 0.0, 0.003958968, 0.008296091, -0.0017165234, 0.0, 0.004227455, 0.0044524195, 0.009051095, 0.0, 0.005324176, -0.008613206, -0.021459484, 0.0) * go_2(-1.0, -1.0); result += mat4(-0.058296386, 0.07744043, -0.13526013, 0.0, -0.0008796793, -0.007680745, -0.0008189206, 0.0, -0.018601, -0.0026164774, 0.0061028446, 0.0, 0.034066506, 0.015997633, 0.015659299, 0.0) * go_2(-1.0, 0.0); result += mat4(-0.013752101, 0.062634215, 0.082755044, 0.0, 0.005145167, 0.006077453, 0.008487249, 0.0, 0.07188091, 0.06469806, 0.086508684, 0.0, 0.013405896, 0.012214205, 0.02304606, 0.0) * go_2(-1.0, 1.0); result += mat4(-0.0905373, 0.1511149, 0.0710771, 0.0, 0.0005157405, -0.0008491397, 0.0013561217, 0.0, 0.028786302, 0.010717526, -0.0022970343, 0.0, 0.062324964, 0.044271976, 0.030260865, 0.0) * go_2(0.0, -1.0); result += mat4(0.30492926, -0.069422945, -0.16390763, 0.0, -0.0043285103, -0.0072050295, -0.0108781895, 0.0, 0.048721083, -0.0105444575, -0.0027602906, 0.0, 0.09317285, 0.053365745, 0.03376728, 0.0) * go_2(0.0, 0.0); result += mat4(-0.002269356, -0.09357455, -0.0555731, 0.0, 0.009376811, -0.0018466613, -0.004391423, 0.0, -0.07394368, -0.065170325, -0.08395192, 0.0, 0.03500888, 0.01081305, 0.0066718487, 0.0) * go_2(0.0, 1.0); result += mat4(0.09021336, -0.16636552, 0.025003932, 0.0, 0.01079389, 0.010327037, 0.0060891113, 0.0, -0.017556215, -0.0056941574, -0.005190358, 0.0, -0.041544978, -0.021641703, -0.005560567, 0.0) * go_2(1.0, -1.0); result += mat4(-0.06582341, 0.032331508, 0.023025641, 0.0, -0.006888802, -0.007366109, -0.009622778, 0.0, 0.057611454, 0.06791491, 0.03548702, 0.0, 0.029741313, -0.02115072, -0.041671865, 0.0) * go_2(1.0, 0.0); result += mat4(0.07574974, 0.016732352, 0.01046223, 0.0, -0.015716823, -0.0028920243, 0.0018390373, 0.0, -0.18389195, -0.11441643, -0.1055075, 0.0, -0.0729001, -0.03686565, -0.030215835, 0.0) * go_2(1.0, 1.0); result += mat4(-0.018894525, -0.004167179, -0.014972926, 0.0, 0.012092344, 0.008401433, 0.026395475, 0.0, -0.11119941, -0.012245911, 0.31127214, 0.0, 0.032960866, 0.06049577, 0.08025499, 0.0) * go_3(-1.0, -1.0); result += mat4(0.017033277, 0.01354686, 0.024140825, 0.0, -0.066371396, -0.035490133, -0.044400524, 0.0, 0.10403552, -0.27156168, 0.18912019, 0.0, 0.017874612, 0.041612815, 0.052246477, 0.0) * go_3(-1.0, 0.0); result += mat4(-0.014946708, -0.02429106, -0.030985888, 0.0, -0.03691934, -0.042938504, -0.02929483, 0.0, -0.0012160494, 0.13540258, -0.2758294, 0.0, -0.0603928, -0.07772998, -0.09162849, 0.0) * go_3(-1.0, 1.0); result += mat4(-0.0004002234, -0.0044219927, -0.002135395, 0.0, 0.010293526, 0.027578928, 0.026176201, 0.0, 0.11936805, 0.023629628, -0.28300223, 0.0, 0.017478058, 0.03140593, 0.0192762, 0.0) * go_3(0.0, -1.0); result += mat4(0.003015146, 0.004462068, 0.0019783478, 0.0, -0.12165661, -0.14695118, -0.09602592, 0.0, -0.027736675, 0.012857005, 0.03344232, 0.0, 0.023552643, 0.027601821, 0.03182792, 0.0) * go_3(0.0, 0.0); result += mat4(-0.01145948, -0.015722467, -0.02066646, 0.0, 0.02099096, 0.0214942, 0.013058587, 0.0, -0.043419342, 0.18987817, 0.00077238097, 0.0, -0.012187362, -0.01101818, -0.009512806, 0.0) * go_3(0.0, 1.0); result += mat4(-0.01003496, -0.000550755, 0.012151708, 0.0, -0.016100012, 0.022148406, -0.009785452, 0.0, 0.012985429, -0.042074054, 0.15150712, 0.0, 0.00041122726, -0.009237617, -0.012009606, 0.0) * go_3(1.0, -1.0); result += mat4(0.016514922, -0.0015444864, 0.0012712386, 0.0, 0.034776885, 0.010597218, -0.0040258956, 0.0, -0.08650466, 0.12591134, -0.08671136, 0.0, -0.004304329, 0.0016138474, 0.0059207603, 0.0) * go_3(1.0, 0.0); result += mat4(-0.006018593, 0.007623802, 0.0071857506, 0.0, 0.07065304, 0.073321074, 0.04883848, 0.0, 0.079749525, -0.095305495, -0.036576286, 0.0, 0.0053027375, -0.01600088, -0.020379763, 0.0) * go_3(1.0, 1.0); result += mat4(0.0014353278, 0.009906914, 0.00056570594, 0.0, -0.021885807, -0.008028124, -0.001742557, 0.0, 0.08700665, 0.095830224, 0.10490807, 0.0, -0.0048933295, -0.07625389, -0.061595775, 0.0) * go_4(-1.0, -1.0); result += mat4(0.02125275, 0.0009857428, -0.00137735, 0.0, 0.005915497, 0.013772777, 0.004539148, 0.0, -0.035443936, -0.02961302, -0.04131401, 0.0, -0.12169936, -0.14949232, -0.20689055, 0.0) * go_4(-1.0, 0.0); result += mat4(-0.015341744, -0.0077026743, -0.0043482906, 0.0, -0.007135568, -0.0022823443, 0.007329001, 0.0, -0.038207117, -1.8806717e-05, 0.012055219, 0.0, 0.05211687, 0.025196811, 0.034190442, 0.0) * go_4(-1.0, 1.0); result += mat4(0.01798635, 0.0043349164, 0.00976957, 0.0, 0.008667596, 0.0094013205, -0.0047210143, 0.0, -0.13027216, -0.27572915, -0.21776466, 0.0, 0.04239217, 0.026833871, 0.0053331805, 0.0) * go_4(0.0, -1.0); result += mat4(-0.018382292, -0.028467784, -0.02948458, 0.0, 0.01504672, 0.009915386, 0.00028620457, 0.0, 0.01925864, 0.17856085, 0.15902345, 0.0, 0.072817296, 0.01202625, 0.016523099, 0.0) * go_4(0.0, 0.0); result += mat4(0.014461806, 0.018162472, 0.004939947, 0.0, 0.00433307, -0.0029751821, 0.014063162, 0.0, -0.0105967205, 0.023450457, 0.007284629, 0.0, 0.015260132, 0.058815423, 0.032865442, 0.0) * go_4(0.0, 1.0); result += mat4(-0.034523435, -0.0019650368, 0.010286419, 0.0, 0.0155394105, -0.012441901, 0.003655187, 0.0, 0.21727616, 0.04665747, 0.064619154, 0.0, -0.0538197, -0.016603155, 0.010483863, 0.0) * go_4(1.0, -1.0); result += mat4(0.0066596246, 0.012407015, 0.010662054, 0.0, 0.015415189, -0.0072234455, -0.016844045, 0.0, -0.018253447, -0.04539969, -0.022777706, 0.0, 0.014921062, 0.01025331, 0.00094767904, 0.0) * go_4(1.0, 0.0); result += mat4(0.007963999, 0.024802163, 0.0329328, 0.0, -0.028856168, -0.0024038341, -0.008221548, 0.0, -0.050274983, -0.019204216, -0.014420987, 0.0, -0.0041100523, 0.02075305, 0.019369813, 0.0) * go_4(1.0, 1.0); result += mat4(0.012030763, -0.013472043, -0.0071379403, 0.0, 0.044592608, 0.059628505, 0.0329532, 0.0, -0.0048840884, -0.009070825, -0.004406241, 0.0, -0.015029522, -0.03341599, -0.014973638, 0.0) * go_5(-1.0, -1.0); result += mat4(0.0030182474, 0.012553184, -0.00084614486, 0.0, -0.19833973, -0.18672052, -0.1924494, 0.0, -0.008076828, -0.005522177, 0.0037198463, 0.0, -0.021098163, -0.010991954, -0.007342273, 0.0) * go_5(-1.0, 0.0); result += mat4(-0.008302836, -0.014168788, -0.0098180575, 0.0, -0.072220005, -0.08414496, -0.05447282, 0.0, -0.0056090043, -0.00043765904, -0.004061556, 0.0, 0.02473498, 0.00803538, -0.002803184, 0.0) * go_5(-1.0, 1.0); result += mat4(-0.001754513, -0.00034364086, 0.0016426432, 0.0, -0.14016317, -0.13971362, -0.13603266, 0.0, -0.013788346, 0.0017337386, -0.001026224, 0.0, -0.009110686, -0.006945973, 0.0063988715, 0.0) * go_5(0.0, -1.0); result += mat4(0.0129916025, 0.025389163, 0.026781, 0.0, 0.39451644, 0.37229872, 0.35705563, 0.0, -0.0039658905, 0.0058225365, 0.0032569862, 0.0, -0.016056878, 0.0051228474, 0.008477073, 0.0) * go_5(0.0, 0.0); result += mat4(-0.0077641252, 0.010979285, 0.016919322, 0.0, 0.06312053, 0.10244354, 0.09649355, 0.0, -0.0041987957, -0.0001676132, 0.01052944, 0.0, -0.035134792, -0.011132374, -0.008417525, 0.0) * go_5(0.0, 1.0); result += mat4(-0.0019415376, -0.0018293947, -0.008222967, 0.0, -0.117868416, -0.12365001, -0.13046348, 0.0, 0.02347851, 0.004496424, 0.008431801, 0.0, 0.037196416, 0.020106586, 0.0046503455, 0.0) * go_5(1.0, -1.0); result += mat4(-0.0072726808, -0.0011071735, 0.0008595847, 0.0, 0.03922388, 0.06798667, 0.067601055, 0.0, 0.008911351, 0.013739831, 0.011149478, 0.0, -0.03467258, -0.006161695, 0.008909844, 0.0) * go_5(1.0, 0.0); result += mat4(0.003808606, -0.0035716828, -0.007037296, 0.0, -0.08564177, -0.11466893, -0.11467038, 0.0, -0.0020677918, 0.005138272, -0.0023557285, 0.0, 0.038220942, -0.00028315434, -0.005084889, 0.0) * go_5(1.0, 1.0); result += vec4(0.0013754794, 0.0020187886, 0.001720279, 0.0); return result + MAIN_tex(MAIN_pos); }
GLSL
4
dvdvideo1234/Anime4K
glsl/Upscale/Anime4K_Upscale_GAN_x4_UL.glsl
[ "MIT" ]
scriptname SKI_ActiveEffectsWidget extends SKI_WidgetBase ; SCRIPT VERSION ---------------------------------------------------------------------------------- ; ; History ; ; 1: - Initial version ; ; 2: - Updated hudModes ; ; 3: - Added MinimumTimeLeft int function GetVersion() return 3 endFunction ; PRIVATE VARIABLES ------------------------------------------------------------------------------- ; -- Version 1 -- ; Make sure defaults match those in ConfigMenuInstance bool _enabled = false float _effectSize = 48.0 int _groupEffectCount = 8 string _orientation = "vertical" ; -- Version 3 -- int _minimumTimeLeft = 180 ; PROPERTIES -------------------------------------------------------------------------------------- bool Property Enabled {Whether the active effects are displayed or not} bool function get() return _enabled endFunction function set(bool a_val) _enabled = a_val if (Ready) UI.InvokeBool(HUD_MENU, WidgetRoot + ".setEnabled", _enabled) endIf endFunction endProperty float property EffectSize {Size of each effect icon in pixels at a resolution of 1280x720} float function get() return _effectSize endFunction function set(float a_val) _effectSize = a_val if (Ready) UI.InvokeFloat(HUD_MENU, WidgetRoot + ".setEffectSize", _effectSize) endIf endFunction endProperty int property GroupEffectCount {Maximum number of widgets displayed until a new group (column, or row) is created} int function get() return _groupEffectCount endFunction function set(int a_val) _groupEffectCount = a_val if (Ready) UI.InvokeInt(HUD_MENU, WidgetRoot + ".setGroupEffectCount", _groupEffectCount) endIf endFunction endProperty string property Orientation {The axis in which new effects will be added to after the total number of effects > GroupEffectCount} string function get() return _orientation endFunction function set(string a_val) _orientation = a_val if (Ready) UI.InvokeString(HUD_MENU, WidgetRoot + ".setOrientation", _orientation) endIf endFunction endProperty int property MinimumTimeLeft {The minimum time left for an effect to be displayed} int function get() return _minimumTimeLeft endFunction function set(int a_val) _minimumTimeLeft = a_val if (Ready) UI.InvokeInt(HUD_MENU, WidgetRoot + ".setMinTimeLeft", _minimumTimeLeft) endIf endFunction endProperty ; INITIALIZATION ---------------------------------------------------------------------------------- ; @implements SKI_QuestBase event OnVersionUpdate(int a_version) ; Version 2 if (a_version >= 2 && CurrentVersion < 2) Debug.Trace(self + ": Updating to script version 2") string[] hudModes = new string[6] hudModes[0] = "All" hudModes[1] = "StealthMode" hudModes[2] = "Favor" hudModes[3] = "Swimming" hudModes[4] = "HorseMode" hudModes[5] = "WarHorseMode" Modes = hudModes endIf endEvent ; EVENTS ------------------------------------------------------------------------------------------ ; @override SKI_WidgetBase event OnWidgetReset() parent.OnWidgetReset() ; Init numbers float[] numberArgs = new float[4] numberArgs[0] = _enabled as float numberArgs[1] = _effectSize numberArgs[2] = _groupEffectCount as float numberArgs[3] = _minimumTimeLeft as float UI.InvokeFloatA(HUD_MENU, WidgetRoot + ".initNumbers", numberArgs) ; Init strings string[] stringArgs = new string[1] stringArgs[0] = _orientation UI.InvokeStringA(HUD_MENU, WidgetRoot + ".initStrings", stringArgs) ; Init commit UI.Invoke(HUD_MENU, WidgetRoot + ".initCommit") endEvent ; FUNCTIONS --------------------------------------------------------------------------------------- ; @overrides SKI_WidgetBase string function GetWidgetSource() return "skyui/activeeffects.swf" endFunction ; @overrides SKI_WidgetBase string function GetWidgetType() return "SKI_ActiveEffectsWidget" endFunction
Papyrus
5
pragasette/skyui
dist/Data/Scripts/Source/SKI_ActiveEffectsWidget.psc
[ "Unlicense", "MIT" ]
/*--------------------------------------------------------------------------------------------- * Copyright (c) Microsoft Corporation. All rights reserved. * Licensed under the MIT License. See License.txt in the project root for license information. *--------------------------------------------------------------------------------------------*/ import { Color } from 'vs/base/common/color'; import { Registry } from 'vs/platform/registry/common/platform'; import { Extensions, IColorRegistry } from 'vs/platform/theme/common/colorRegistry'; suite('ColorRegistry', () => { if (process.env.VSCODE_COLOR_REGISTRY_EXPORT) { test('exports', () => { const themingRegistry = Registry.as<IColorRegistry>(Extensions.ColorContribution); const colors = themingRegistry.getColors(); const replacer = (_key: string, value: unknown) => value instanceof Color ? Color.Format.CSS.formatHexA(value) : value; console.log(`#colors:${JSON.stringify(colors, replacer)}\n`); }); } });
TypeScript
4
sbj42/vscode
src/vs/workbench/contrib/themes/test/electron-browser/colorRegistryExport.test.ts
[ "MIT" ]