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mplug_owl2/lib/tcl8.6/auto.tcl

@@ -0,0 +1,648 @@
+# auto.tcl --
+#
+# utility procs formerly in init.tcl dealing with auto execution of commands
+# and can be auto loaded themselves.
+#
+# Copyright (c) 1991-1993 The Regents of the University of California.
+# Copyright (c) 1994-1998 Sun Microsystems, Inc.
+#
+# See the file "license.terms" for information on usage and redistribution of
+# this file, and for a DISCLAIMER OF ALL WARRANTIES.
+#
+
+# auto_reset --
+#
+# Destroy all cached information for auto-loading and auto-execution, so that
+# the information gets recomputed the next time it's needed.  Also delete any
+# commands that are listed in the auto-load index.
+#
+# Arguments:
+# None.
+
+proc auto_reset {} {
+    global auto_execs auto_index auto_path
+    if {[array exists auto_index]} {
+	foreach cmdName [array names auto_index] {
+	    set fqcn [namespace which $cmdName]
+	    if {$fqcn eq ""} {
+		continue
+	    }
+	    rename $fqcn {}
+	}
+    }
+    unset -nocomplain auto_execs auto_index ::tcl::auto_oldpath
+    if {[catch {llength $auto_path}]} {
+	set auto_path [list [info library]]
+    } elseif {[info library] ni $auto_path} {
+	lappend auto_path [info library]
+    }
+}
+
+# tcl_findLibrary --
+#
+#	This is a utility for extensions that searches for a library directory
+#	using a canonical searching algorithm. A side effect is to source the
+#	initialization script and set a global library variable.
+#
+# Arguments:
+# 	basename	Prefix of the directory name, (e.g., "tk")
+#	version		Version number of the package, (e.g., "8.0")
+#	patch		Patchlevel of the package, (e.g., "8.0.3")
+#	initScript	Initialization script to source (e.g., tk.tcl)
+#	enVarName	environment variable to honor (e.g., TK_LIBRARY)
+#	varName		Global variable to set when done (e.g., tk_library)
+
+proc tcl_findLibrary {basename version patch initScript enVarName varName} {
+    upvar #0 $varName the_library
+    global auto_path env tcl_platform
+
+    set dirs {}
+    set errors {}
+
+    # The C application may have hardwired a path, which we honor
+
+    if {[info exists the_library] && $the_library ne ""} {
+	lappend dirs $the_library
+    } else {
+	# Do the canonical search
+
+	# 1. From an environment variable, if it exists.  Placing this first
+	#    gives the end-user ultimate control to work-around any bugs, or
+	#    to customize.
+
+	if {[info exists env($enVarName)]} {
+	    lappend dirs $env($enVarName)
+	}
+
+	# 2. In the package script directory registered within the
+	#    configuration of the package itself.
+
+	catch {
+	    lappend dirs [::${basename}::pkgconfig get scriptdir,runtime]
+	}
+
+	# 3. Relative to auto_path directories.  This checks relative to the
+	# Tcl library as well as allowing loading of libraries added to the
+	# auto_path that is not relative to the core library or binary paths.
+	foreach d $auto_path {
+	    lappend dirs [file join $d $basename$version]
+	    if {$tcl_platform(platform) eq "unix"
+		    && $tcl_platform(os) eq "Darwin"} {
+		# 4. On MacOSX, check the Resources/Scripts subdir too
+		lappend dirs [file join $d $basename$version Resources Scripts]
+	    }
+	}
+
+	# 3. Various locations relative to the executable
+	# ../lib/foo1.0		(From bin directory in install hierarchy)
+	# ../../lib/foo1.0	(From bin/arch directory in install hierarchy)
+	# ../library		(From unix directory in build hierarchy)
+	#
+	# Remaining locations are out of date (when relevant, they ought to be
+	# covered by the $::auto_path seach above) and disabled.
+	#
+	# ../../library		(From unix/arch directory in build hierarchy)
+	# ../../foo1.0.1/library
+	#		(From unix directory in parallel build hierarchy)
+	# ../../../foo1.0.1/library
+	#		(From unix/arch directory in parallel build hierarchy)
+
+	set parentDir [file dirname [file dirname [info nameofexecutable]]]
+	set grandParentDir [file dirname $parentDir]
+	lappend dirs [file join $parentDir lib $basename$version]
+	lappend dirs [file join $grandParentDir lib $basename$version]
+	lappend dirs [file join $parentDir library]
+	if {0} {
+	    lappend dirs [file join $grandParentDir library]
+	    lappend dirs [file join $grandParentDir $basename$patch library]
+	    lappend dirs [file join [file dirname $grandParentDir] \
+			      $basename$patch library]
+	}
+    }
+    # make $dirs unique, preserving order
+    array set seen {}
+    foreach i $dirs {
+	# Make sure $i is unique under normalization. Avoid repeated [source].
+	if {[interp issafe]} {
+	    # Safe interps have no [file normalize].
+	    set norm $i
+	} else {
+	    set norm [file normalize $i]
+	}
+	if {[info exists seen($norm)]} {
+	    continue
+	}
+	set seen($norm) {}
+
+	set the_library $i
+	set file [file join $i $initScript]
+
+	# source everything when in a safe interpreter because we have a
+	# source command, but no file exists command
+
+	if {[interp issafe] || [file exists $file]} {
+	    if {![catch {uplevel #0 [list source $file]} msg opts]} {
+		return
+	    }
+	    append errors "$file: $msg\n"
+	    append errors [dict get $opts -errorinfo]\n
+	}
+    }
+    unset -nocomplain the_library
+    set msg "Can't find a usable $initScript in the following directories: \n"
+    append msg "    $dirs\n\n"
+    append msg "$errors\n\n"
+    append msg "This probably means that $basename wasn't installed properly.\n"
+    error $msg
+}
+
+
+# ----------------------------------------------------------------------
+# auto_mkindex
+# ----------------------------------------------------------------------
+# The following procedures are used to generate the tclIndex file from Tcl
+# source files.  They use a special safe interpreter to parse Tcl source
+# files, writing out index entries as "proc" commands are encountered.  This
+# implementation won't work in a safe interpreter, since a safe interpreter
+# can't create the special parser and mess with its commands.
+
+if {[interp issafe]} {
+    return	;# Stop sourcing the file here
+}
+
+# auto_mkindex --
+# Regenerate a tclIndex file from Tcl source files.  Takes as argument the
+# name of the directory in which the tclIndex file is to be placed, followed
+# by any number of glob patterns to use in that directory to locate all of the
+# relevant files.
+#
+# Arguments:
+# dir -		Name of the directory in which to create an index.
+
+# args -	Any number of additional arguments giving the names of files
+#		within dir.  If no additional are given auto_mkindex will look
+#		for *.tcl.
+
+proc auto_mkindex {dir args} {
+    if {[interp issafe]} {
+	error "can't generate index within safe interpreter"
+    }
+
+    set oldDir [pwd]
+    cd $dir
+
+    append index "# Tcl autoload index file, version 2.0\n"
+    append index "# This file is generated by the \"auto_mkindex\" command\n"
+    append index "# and sourced to set up indexing information for one or\n"
+    append index "# more commands.  Typically each line is a command that\n"
+    append index "# sets an element in the auto_index array, where the\n"
+    append index "# element name is the name of a command and the value is\n"
+    append index "# a script that loads the command.\n\n"
+    if {![llength $args]} {
+	set args *.tcl
+    }
+
+    auto_mkindex_parser::init
+    foreach file [lsort [glob -- {*}$args]] {
+	try {
+	    append index [auto_mkindex_parser::mkindex $file]
+	} on error {msg opts} {
+	    cd $oldDir
+	    return -options $opts $msg
+	}
+    }
+    auto_mkindex_parser::cleanup
+
+    set fid [open "tclIndex" w]
+    puts -nonewline $fid $index
+    close $fid
+    cd $oldDir
+}
+
+# Original version of auto_mkindex that just searches the source code for
+# "proc" at the beginning of the line.
+
+proc auto_mkindex_old {dir args} {
+    set oldDir [pwd]
+    cd $dir
+    set dir [pwd]
+    append index "# Tcl autoload index file, version 2.0\n"
+    append index "# This file is generated by the \"auto_mkindex\" command\n"
+    append index "# and sourced to set up indexing information for one or\n"
+    append index "# more commands.  Typically each line is a command that\n"
+    append index "# sets an element in the auto_index array, where the\n"
+    append index "# element name is the name of a command and the value is\n"
+    append index "# a script that loads the command.\n\n"
+    if {![llength $args]} {
+	set args *.tcl
+    }
+    foreach file [lsort [glob -- {*}$args]] {
+	set f ""
+	set error [catch {
+	    set f [open $file]
+	    fconfigure $f -eofchar "\x1A {}"
+	    while {[gets $f line] >= 0} {
+		if {[regexp {^proc[ 	]+([^ 	]*)} $line match procName]} {
+		    set procName [lindex [auto_qualify $procName "::"] 0]
+		    append index "set [list auto_index($procName)]"
+		    append index " \[list source \[file join \$dir [list $file]\]\]\n"
+		}
+	    }
+	    close $f
+	} msg opts]
+	if {$error} {
+	    catch {close $f}
+	    cd $oldDir
+	    return -options $opts $msg
+	}
+    }
+    set f ""
+    set error [catch {
+	set f [open tclIndex w]
+	puts -nonewline $f $index
+	close $f
+	cd $oldDir
+    } msg opts]
+    if {$error} {
+	catch {close $f}
+	cd $oldDir
+	error $msg $info $code
+	return -options $opts $msg
+    }
+}
+
+# Create a safe interpreter that can be used to parse Tcl source files
+# generate a tclIndex file for autoloading.  This interp contains commands for
+# things that need index entries.  Each time a command is executed, it writes
+# an entry out to the index file.
+
+namespace eval auto_mkindex_parser {
+    variable parser ""          ;# parser used to build index
+    variable index ""           ;# maintains index as it is built
+    variable scriptFile ""      ;# name of file being processed
+    variable contextStack ""    ;# stack of namespace scopes
+    variable imports ""         ;# keeps track of all imported cmds
+    variable initCommands       ;# list of commands that create aliases
+    if {![info exists initCommands]} {
+	set initCommands [list]
+    }
+
+    proc init {} {
+	variable parser
+	variable initCommands
+
+	if {![interp issafe]} {
+	    set parser [interp create -safe]
+	    $parser hide info
+	    $parser hide rename
+	    $parser hide proc
+	    $parser hide namespace
+	    $parser hide eval
+	    $parser hide puts
+	    foreach ns [$parser invokehidden namespace children ::] {
+		# MUST NOT DELETE "::tcl" OR BAD THINGS HAPPEN!
+		if {$ns eq "::tcl"} continue
+		$parser invokehidden namespace delete $ns
+	    }
+	    foreach cmd [$parser invokehidden info commands ::*] {
+		$parser invokehidden rename $cmd {}
+	    }
+	    $parser invokehidden proc unknown {args} {}
+
+	    # We'll need access to the "namespace" command within the
+	    # interp.  Put it back, but move it out of the way.
+
+	    $parser expose namespace
+	    $parser invokehidden rename namespace _%@namespace
+	    $parser expose eval
+	    $parser invokehidden rename eval _%@eval
+
+	    # Install all the registered pseudo-command implementations
+
+	    foreach cmd $initCommands {
+		eval $cmd
+	    }
+	}
+    }
+    proc cleanup {} {
+	variable parser
+	interp delete $parser
+	unset parser
+    }
+}
+
+# auto_mkindex_parser::mkindex --
+#
+# Used by the "auto_mkindex" command to create a "tclIndex" file for the given
+# Tcl source file.  Executes the commands in the file, and handles things like
+# the "proc" command by adding an entry for the index file.  Returns a string
+# that represents the index file.
+#
+# Arguments:
+#	file	Name of Tcl source file to be indexed.
+
+proc auto_mkindex_parser::mkindex {file} {
+    variable parser
+    variable index
+    variable scriptFile
+    variable contextStack
+    variable imports
+
+    set scriptFile $file
+
+    set fid [open $file]
+    fconfigure $fid -eofchar "\x1A {}"
+    set contents [read $fid]
+    close $fid
+
+    # There is one problem with sourcing files into the safe interpreter:
+    # references like "$x" will fail since code is not really being executed
+    # and variables do not really exist.  To avoid this, we replace all $ with
+    # \0 (literally, the null char) later, when getting proc names we will
+    # have to reverse this replacement, in case there were any $ in the proc
+    # name.  This will cause a problem if somebody actually tries to have a \0
+    # in their proc name.  Too bad for them.
+    set contents [string map [list \$ \0] $contents]
+
+    set index ""
+    set contextStack ""
+    set imports ""
+
+    $parser eval $contents
+
+    foreach name $imports {
+	catch {$parser eval [list _%@namespace forget $name]}
+    }
+    return $index
+}
+
+# auto_mkindex_parser::hook command
+#
+# Registers a Tcl command to evaluate when initializing the child interpreter
+# used by the mkindex parser.  The command is evaluated in the parent
+# interpreter, and can use the variable auto_mkindex_parser::parser to get to
+# the child
+
+proc auto_mkindex_parser::hook {cmd} {
+    variable initCommands
+
+    lappend initCommands $cmd
+}
+
+# auto_mkindex_parser::slavehook command
+#
+# Registers a Tcl command to evaluate when initializing the child interpreter
+# used by the mkindex parser.  The command is evaluated in the child
+# interpreter.
+
+proc auto_mkindex_parser::slavehook {cmd} {
+    variable initCommands
+
+    # The $parser variable is defined to be the name of the child interpreter
+    # when this command is used later.
+
+    lappend initCommands "\$parser eval [list $cmd]"
+}
+
+# auto_mkindex_parser::command --
+#
+# Registers a new command with the "auto_mkindex_parser" interpreter that
+# parses Tcl files.  These commands are fake versions of things like the
+# "proc" command.  When you execute them, they simply write out an entry to a
+# "tclIndex" file for auto-loading.
+#
+# This procedure allows extensions to register their own commands with the
+# auto_mkindex facility.  For example, a package like [incr Tcl] might
+# register a "class" command so that class definitions could be added to a
+# "tclIndex" file for auto-loading.
+#
+# Arguments:
+#	name 	Name of command recognized in Tcl files.
+#	arglist	Argument list for command.
+#	body 	Implementation of command to handle indexing.
+
+proc auto_mkindex_parser::command {name arglist body} {
+    hook [list auto_mkindex_parser::commandInit $name $arglist $body]
+}
+
+# auto_mkindex_parser::commandInit --
+#
+# This does the actual work set up by auto_mkindex_parser::command. This is
+# called when the interpreter used by the parser is created.
+#
+# Arguments:
+#	name 	Name of command recognized in Tcl files.
+#	arglist	Argument list for command.
+#	body 	Implementation of command to handle indexing.
+
+proc auto_mkindex_parser::commandInit {name arglist body} {
+    variable parser
+
+    set ns [namespace qualifiers $name]
+    set tail [namespace tail $name]
+    if {$ns eq ""} {
+	set fakeName [namespace current]::_%@fake_$tail
+    } else {
+	set fakeName [namespace current]::[string map {:: _} _%@fake_$name]
+    }
+    proc $fakeName $arglist $body
+
+    # YUK!  Tcl won't let us alias fully qualified command names, so we can't
+    # handle names like "::itcl::class".  Instead, we have to build procs with
+    # the fully qualified names, and have the procs point to the aliases.
+
+    if {[string match *::* $name]} {
+	set exportCmd [list _%@namespace export [namespace tail $name]]
+	$parser eval [list _%@namespace eval $ns $exportCmd]
+
+	# The following proc definition does not work if you want to tolerate
+	# space or something else diabolical in the procedure name, (i.e.,
+	# space in $alias). The following does not work:
+	#   "_%@eval {$alias} \$args"
+	# because $alias gets concat'ed to $args.  The following does not work
+	# because $cmd is somehow undefined
+	#   "set cmd {$alias} \; _%@eval {\$cmd} \$args"
+	# A gold star to someone that can make test autoMkindex-3.3 work
+	# properly
+
+	set alias [namespace tail $fakeName]
+	$parser invokehidden proc $name {args} "_%@eval {$alias} \$args"
+	$parser alias $alias $fakeName
+    } else {
+	$parser alias $name $fakeName
+    }
+    return
+}
+
+# auto_mkindex_parser::fullname --
+#
+# Used by commands like "proc" within the auto_mkindex parser.  Returns the
+# qualified namespace name for the "name" argument.  If the "name" does not
+# start with "::", elements are added from the current namespace stack to
+# produce a qualified name.  Then, the name is examined to see whether or not
+# it should really be qualified.  If the name has more than the leading "::",
+# it is returned as a fully qualified name.  Otherwise, it is returned as a
+# simple name.  That way, the Tcl autoloader will recognize it properly.
+#
+# Arguments:
+# name -		Name that is being added to index.
+
+proc auto_mkindex_parser::fullname {name} {
+    variable contextStack
+
+    if {![string match ::* $name]} {
+	foreach ns $contextStack {
+	    set name "${ns}::$name"
+	    if {[string match ::* $name]} {
+		break
+	    }
+	}
+    }
+
+    if {[namespace qualifiers $name] eq ""} {
+	set name [namespace tail $name]
+    } elseif {![string match ::* $name]} {
+	set name "::$name"
+    }
+
+    # Earlier, mkindex replaced all $'s with \0.  Now, we have to reverse that
+    # replacement.
+    return [string map [list \0 \$] $name]
+}
+
+# auto_mkindex_parser::indexEntry --
+#
+# Used by commands like "proc" within the auto_mkindex parser to add a
+# correctly-quoted entry to the index. This is shared code so it is done
+# *right*, in one place.
+#
+# Arguments:
+# name -		Name that is being added to index.
+
+proc auto_mkindex_parser::indexEntry {name} {
+    variable index
+    variable scriptFile
+
+    # We convert all metacharacters to their backslashed form, and pre-split
+    # the file name that we know about (which will be a proper list, and so
+    # correctly quoted).
+
+    set name [string range [list \}[fullname $name]] 2 end]
+    set filenameParts [file split $scriptFile]
+
+    append index [format \
+	    {set auto_index(%s) [list source [file join $dir %s]]%s} \
+	    $name $filenameParts \n]
+    return
+}
+
+if {[llength $::auto_mkindex_parser::initCommands]} {
+    return
+}
+
+# Register all of the procedures for the auto_mkindex parser that will build
+# the "tclIndex" file.
+
+# AUTO MKINDEX:  proc name arglist body
+# Adds an entry to the auto index list for the given procedure name.
+
+auto_mkindex_parser::command proc {name args} {
+    indexEntry $name
+}
+
+# Conditionally add support for Tcl byte code files.  There are some tricky
+# details here.  First, we need to get the tbcload library initialized in the
+# current interpreter.  We cannot load tbcload into the child until we have
+# done so because it needs access to the tcl_patchLevel variable.  Second,
+# because the package index file may defer loading the library until we invoke
+# a command, we need to explicitly invoke auto_load to force it to be loaded.
+# This should be a noop if the package has already been loaded
+
+auto_mkindex_parser::hook {
+    try {
+	package require tbcload
+    } on error {} {
+	# OK, don't have it so do nothing
+    } on ok {} {
+	if {[namespace which -command tbcload::bcproc] eq ""} {
+	    auto_load tbcload::bcproc
+	}
+	load {} tbcload $auto_mkindex_parser::parser
+
+	# AUTO MKINDEX:  tbcload::bcproc name arglist body
+	# Adds an entry to the auto index list for the given precompiled
+	# procedure name.
+
+	auto_mkindex_parser::commandInit tbcload::bcproc {name args} {
+	    indexEntry $name
+	}
+    }
+}
+
+# AUTO MKINDEX:  namespace eval name command ?arg arg...?
+# Adds the namespace name onto the context stack and evaluates the associated
+# body of commands.
+#
+# AUTO MKINDEX:  namespace import ?-force? pattern ?pattern...?
+# Performs the "import" action in the parser interpreter.  This is important
+# for any commands contained in a namespace that affect the index.  For
+# example, a script may say "itcl::class ...", or it may import "itcl::*" and
+# then say "class ...".  This procedure does the import operation, but keeps
+# track of imported patterns so we can remove the imports later.
+
+auto_mkindex_parser::command namespace {op args} {
+    switch -- $op {
+	eval {
+	    variable parser
+	    variable contextStack
+
+	    set name [lindex $args 0]
+	    set args [lrange $args 1 end]
+
+	    set contextStack [linsert $contextStack 0 $name]
+	    $parser eval [list _%@namespace eval $name] $args
+	    set contextStack [lrange $contextStack 1 end]
+	}
+	import {
+	    variable parser
+	    variable imports
+	    foreach pattern $args {
+		if {$pattern ne "-force"} {
+		    lappend imports $pattern
+		}
+	    }
+	    catch {$parser eval "_%@namespace import $args"}
+	}
+	ensemble {
+	    variable parser
+	    variable contextStack
+	    if {[lindex $args 0] eq "create"} {
+		set name ::[join [lreverse $contextStack] ::]
+		catch {
+		    set name [dict get [lrange $args 1 end] -command]
+		    if {![string match ::* $name]} {
+			set name ::[join [lreverse $contextStack] ::]$name
+		    }
+		    regsub -all ::+ $name :: name
+		}
+		# create artificial proc to force an entry in the tclIndex
+		$parser eval [list ::proc $name {} {}]
+	    }
+	}
+    }
+}
+
+# AUTO MKINDEX:  oo::class create name ?definition?
+# Adds an entry to the auto index list for the given class name.
+auto_mkindex_parser::command oo::class {op name {body ""}} {
+    if {$op eq "create"} {
+	indexEntry $name
+    }
+}
+auto_mkindex_parser::command class {op name {body ""}} {
+    if {$op eq "create"} {
+	indexEntry $name
+    }
+}
+
+return

mplug_owl2/lib/tcl8.6/encoding/cp1252.enc

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+S
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+S
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+S
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mplug_owl2/lib/tcl8.6/http1.0/http.tcl

@@ -0,0 +1,377 @@
+# http.tcl
+# Client-side HTTP for GET, POST, and HEAD commands.
+# These routines can be used in untrusted code that uses the Safesock
+# security policy.
+# These procedures use a callback interface to avoid using vwait,
+# which is not defined in the safe base.
+#
+# See the http.n man page for documentation
+
+package provide http 1.0
+
+array set http {
+    -accept */*
+    -proxyhost {}
+    -proxyport {}
+    -useragent {Tcl http client package 1.0}
+    -proxyfilter httpProxyRequired
+}
+proc http_config {args} {
+    global http
+    set options [lsort [array names http -*]]
+    set usage [join $options ", "]
+    if {[llength $args] == 0} {
+	set result {}
+	foreach name $options {
+	    lappend result $name $http($name)
+	}
+	return $result
+    }
+    regsub -all -- - $options {} options
+    set pat ^-([join $options |])$
+    if {[llength $args] == 1} {
+	set flag [lindex $args 0]
+	if {[regexp -- $pat $flag]} {
+	    return $http($flag)
+	} else {
+	    return -code error "Unknown option $flag, must be: $usage"
+	}
+    } else {
+	foreach {flag value} $args {
+	    if {[regexp -- $pat $flag]} {
+		set http($flag) $value
+	    } else {
+		return -code error "Unknown option $flag, must be: $usage"
+	    }
+	}
+    }
+}
+
+ proc httpFinish { token {errormsg ""} } {
+    upvar #0 $token state
+    global errorInfo errorCode
+    if {[string length $errormsg] != 0} {
+	set state(error) [list $errormsg $errorInfo $errorCode]
+	set state(status) error
+    }
+    catch {close $state(sock)}
+    catch {after cancel $state(after)}
+    if {[info exists state(-command)]} {
+	if {[catch {eval $state(-command) {$token}} err]} {
+	    if {[string length $errormsg] == 0} {
+		set state(error) [list $err $errorInfo $errorCode]
+		set state(status) error
+	    }
+	}
+	unset state(-command)
+    }
+}
+proc http_reset { token {why reset} } {
+    upvar #0 $token state
+    set state(status) $why
+    catch {fileevent $state(sock) readable {}}
+    httpFinish $token
+    if {[info exists state(error)]} {
+	set errorlist $state(error)
+	unset state(error)
+	eval error $errorlist
+    }
+}
+proc http_get { url args } {
+    global http
+    if {![info exists http(uid)]} {
+	set http(uid) 0
+    }
+    set token http#[incr http(uid)]
+    upvar #0 $token state
+    http_reset $token
+    array set state {
+	-blocksize 	8192
+	-validate 	0
+	-headers 	{}
+	-timeout 	0
+	state		header
+	meta		{}
+	currentsize	0
+	totalsize	0
+        type            text/html
+        body            {}
+	status		""
+    }
+    set options {-blocksize -channel -command -handler -headers \
+		-progress -query -validate -timeout}
+    set usage [join $options ", "]
+    regsub -all -- - $options {} options
+    set pat ^-([join $options |])$
+    foreach {flag value} $args {
+	if {[regexp $pat $flag]} {
+	    # Validate numbers
+	    if {[info exists state($flag)] && \
+		    [regexp {^[0-9]+$} $state($flag)] && \
+		    ![regexp {^[0-9]+$} $value]} {
+		return -code error "Bad value for $flag ($value), must be integer"
+	    }
+	    set state($flag) $value
+	} else {
+	    return -code error "Unknown option $flag, can be: $usage"
+	}
+    }
+    if {! [regexp -nocase {^(http://)?([^/:]+)(:([0-9]+))?(/.*)?$} $url \
+	    x proto host y port srvurl]} {
+	error "Unsupported URL: $url"
+    }
+    if {[string length $port] == 0} {
+	set port 80
+    }
+    if {[string length $srvurl] == 0} {
+	set srvurl /
+    }
+    if {[string length $proto] == 0} {
+	set url http://$url
+    }
+    set state(url) $url
+    if {![catch {$http(-proxyfilter) $host} proxy]} {
+	set phost [lindex $proxy 0]
+	set pport [lindex $proxy 1]
+    }
+    if {$state(-timeout) > 0} {
+	set state(after) [after $state(-timeout) [list http_reset $token timeout]]
+    }
+    if {[info exists phost] && [string length $phost]} {
+	set srvurl $url
+	set s [socket $phost $pport]
+    } else {
+	set s [socket $host $port]
+    }
+    set state(sock) $s
+
+    # Send data in cr-lf format, but accept any line terminators
+
+    fconfigure $s -translation {auto crlf} -buffersize $state(-blocksize)
+
+    # The following is disallowed in safe interpreters, but the socket
+    # is already in non-blocking mode in that case.
+
+    catch {fconfigure $s -blocking off}
+    set len 0
+    set how GET
+    if {[info exists state(-query)]} {
+	set len [string length $state(-query)]
+	if {$len > 0} {
+	    set how POST
+	}
+    } elseif {$state(-validate)} {
+	set how HEAD
+    }
+    puts $s "$how $srvurl HTTP/1.0"
+    puts $s "Accept: $http(-accept)"
+    puts $s "Host: $host"
+    puts $s "User-Agent: $http(-useragent)"
+    foreach {key value} $state(-headers) {
+	regsub -all \[\n\r\]  $value {} value
+	set key [string trim $key]
+	if {[string length $key]} {
+	    puts $s "$key: $value"
+	}
+    }
+    if {$len > 0} {
+	puts $s "Content-Length: $len"
+	puts $s "Content-Type: application/x-www-form-urlencoded"
+	puts $s ""
+	fconfigure $s -translation {auto binary}
+	puts -nonewline $s $state(-query)
+    } else {
+	puts $s ""
+    }
+    flush $s
+    fileevent $s readable [list httpEvent $token]
+    if {! [info exists state(-command)]} {
+	http_wait $token
+    }
+    return $token
+}
+proc http_data {token} {
+    upvar #0 $token state
+    return $state(body)
+}
+proc http_status {token} {
+    upvar #0 $token state
+    return $state(status)
+}
+proc http_code {token} {
+    upvar #0 $token state
+    return $state(http)
+}
+proc http_size {token} {
+    upvar #0 $token state
+    return $state(currentsize)
+}
+
+ proc httpEvent {token} {
+    upvar #0 $token state
+    set s $state(sock)
+
+     if {[eof $s]} {
+	httpEof $token
+	return
+    }
+    if {$state(state) == "header"} {
+	set n [gets $s line]
+	if {$n == 0} {
+	    set state(state) body
+	    if {![regexp -nocase ^text $state(type)]} {
+		# Turn off conversions for non-text data
+		fconfigure $s -translation binary
+		if {[info exists state(-channel)]} {
+		    fconfigure $state(-channel) -translation binary
+		}
+	    }
+	    if {[info exists state(-channel)] &&
+		    ![info exists state(-handler)]} {
+		# Initiate a sequence of background fcopies
+		fileevent $s readable {}
+		httpCopyStart $s $token
+	    }
+	} elseif {$n > 0} {
+	    if {[regexp -nocase {^content-type:(.+)$} $line x type]} {
+		set state(type) [string trim $type]
+	    }
+	    if {[regexp -nocase {^content-length:(.+)$} $line x length]} {
+		set state(totalsize) [string trim $length]
+	    }
+	    if {[regexp -nocase {^([^:]+):(.+)$} $line x key value]} {
+		lappend state(meta) $key $value
+	    } elseif {[regexp ^HTTP $line]} {
+		set state(http) $line
+	    }
+	}
+    } else {
+	if {[catch {
+	    if {[info exists state(-handler)]} {
+		set n [eval $state(-handler) {$s $token}]
+	    } else {
+		set block [read $s $state(-blocksize)]
+		set n [string length $block]
+		if {$n >= 0} {
+		    append state(body) $block
+		}
+	    }
+	    if {$n >= 0} {
+		incr state(currentsize) $n
+	    }
+	} err]} {
+	    httpFinish $token $err
+	} else {
+	    if {[info exists state(-progress)]} {
+		eval $state(-progress) {$token $state(totalsize) $state(currentsize)}
+	    }
+	}
+    }
+}
+ proc httpCopyStart {s token} {
+    upvar #0 $token state
+    if {[catch {
+	fcopy $s $state(-channel) -size $state(-blocksize) -command \
+	    [list httpCopyDone $token]
+    } err]} {
+	httpFinish $token $err
+    }
+}
+ proc httpCopyDone {token count {error {}}} {
+    upvar #0 $token state
+    set s $state(sock)
+    incr state(currentsize) $count
+    if {[info exists state(-progress)]} {
+	eval $state(-progress) {$token $state(totalsize) $state(currentsize)}
+    }
+    if {([string length $error] != 0)} {
+	httpFinish $token $error
+    } elseif {[eof $s]} {
+	httpEof $token
+    } else {
+	httpCopyStart $s $token
+    }
+}
+ proc httpEof {token} {
+    upvar #0 $token state
+    if {$state(state) == "header"} {
+	# Premature eof
+	set state(status) eof
+    } else {
+	set state(status) ok
+    }
+    set state(state) eof
+    httpFinish $token
+}
+proc http_wait {token} {
+    upvar #0 $token state
+    if {![info exists state(status)] || [string length $state(status)] == 0} {
+	vwait $token\(status)
+    }
+    if {[info exists state(error)]} {
+	set errorlist $state(error)
+	unset state(error)
+	eval error $errorlist
+    }
+    return $state(status)
+}
+
+# Call http_formatQuery with an even number of arguments, where the first is
+# a name, the second is a value, the third is another name, and so on.
+
+proc http_formatQuery {args} {
+    set result ""
+    set sep ""
+    foreach i $args {
+	append result  $sep [httpMapReply $i]
+	if {$sep != "="} {
+	    set sep =
+	} else {
+	    set sep &
+	}
+    }
+    return $result
+}
+
+# do x-www-urlencoded character mapping
+# The spec says: "non-alphanumeric characters are replaced by '%HH'"
+# 1 leave alphanumerics characters alone
+# 2 Convert every other character to an array lookup
+# 3 Escape constructs that are "special" to the tcl parser
+# 4 "subst" the result, doing all the array substitutions
+
+ proc httpMapReply {string} {
+    global httpFormMap
+    set alphanumeric	a-zA-Z0-9
+    if {![info exists httpFormMap]} {
+
+	for {set i 1} {$i <= 256} {incr i} {
+	    set c [format %c $i]
+	    if {![string match \[$alphanumeric\] $c]} {
+		set httpFormMap($c) %[format %.2x $i]
+	    }
+	}
+	# These are handled specially
+	array set httpFormMap {
+	    " " +   \n %0d%0a
+	}
+    }
+    regsub -all \[^$alphanumeric\] $string {$httpFormMap(&)} string
+    regsub -all \n $string {\\n} string
+    regsub -all \t $string {\\t} string
+    regsub -all {[][{})\\]\)} $string {\\&} string
+    return [subst $string]
+}
+
+# Default proxy filter.
+ proc httpProxyRequired {host} {
+    global http
+    if {[info exists http(-proxyhost)] && [string length $http(-proxyhost)]} {
+	if {![info exists http(-proxyport)] || ![string length $http(-proxyport)]} {
+	    set http(-proxyport) 8080
+	}
+	return [list $http(-proxyhost) $http(-proxyport)]
+    } else {
+	return {}
+    }
+}

mplug_owl2/lib/tcl8.6/http1.0/pkgIndex.tcl

@@ -0,0 +1,11 @@
+# Tcl package index file, version 1.0
+# This file is generated by the "pkg_mkIndex" command
+# and sourced either when an application starts up or
+# by a "package unknown" script.  It invokes the
+# "package ifneeded" command to set up package-related
+# information so that packages will be loaded automatically
+# in response to "package require" commands.  When this
+# script is sourced, the variable $dir must contain the
+# full path name of this file's directory.
+
+package ifneeded http 1.0 [list tclPkgSetup $dir http 1.0 {{http.tcl source {httpCopyDone httpCopyStart httpEof httpEvent httpFinish httpMapReply httpProxyRequired http_code http_config http_data http_formatQuery http_get http_reset http_size http_status http_wait}}}]

mplug_owl2/lib/tcl8.6/package.tcl

@@ -0,0 +1,751 @@
+# package.tcl --
+#
+# utility procs formerly in init.tcl which can be loaded on demand
+# for package management.
+#
+# Copyright (c) 1991-1993 The Regents of the University of California.
+# Copyright (c) 1994-1998 Sun Microsystems, Inc.
+#
+# See the file "license.terms" for information on usage and redistribution
+# of this file, and for a DISCLAIMER OF ALL WARRANTIES.
+#
+
+namespace eval tcl::Pkg {}
+
+# ::tcl::Pkg::CompareExtension --
+#
+# Used internally by pkg_mkIndex to compare the extension of a file to a given
+# extension. On Windows, it uses a case-insensitive comparison because the
+# file system can be file insensitive.
+#
+# Arguments:
+#  fileName	name of a file whose extension is compared
+#  ext		(optional) The extension to compare against; you must
+#		provide the starting dot.
+#		Defaults to [info sharedlibextension]
+#
+# Results:
+#  Returns 1 if the extension matches, 0 otherwise
+
+proc tcl::Pkg::CompareExtension {fileName {ext {}}} {
+    global tcl_platform
+    if {$ext eq ""} {set ext [info sharedlibextension]}
+    if {$tcl_platform(platform) eq "windows"} {
+        return [string equal -nocase [file extension $fileName] $ext]
+    } else {
+        # Some unices add trailing numbers after the .so, so
+        # we could have something like '.so.1.2'.
+        set root $fileName
+        while {1} {
+            set currExt [file extension $root]
+            if {$currExt eq $ext} {
+                return 1
+            }
+
+	    # The current extension does not match; if it is not a numeric
+	    # value, quit, as we are only looking to ignore version number
+	    # extensions.  Otherwise we might return 1 in this case:
+	    #		tcl::Pkg::CompareExtension foo.so.bar .so
+	    # which should not match.
+
+	    if {![string is integer -strict [string range $currExt 1 end]]} {
+		return 0
+	    }
+            set root [file rootname $root]
+	}
+    }
+}
+
+# pkg_mkIndex --
+# This procedure creates a package index in a given directory.  The package
+# index consists of a "pkgIndex.tcl" file whose contents are a Tcl script that
+# sets up package information with "package require" commands.  The commands
+# describe all of the packages defined by the files given as arguments.
+#
+# Arguments:
+# -direct		(optional) If this flag is present, the generated
+#			code in pkgMkIndex.tcl will cause the package to be
+#			loaded when "package require" is executed, rather
+#			than lazily when the first reference to an exported
+#			procedure in the package is made.
+# -verbose		(optional) Verbose output; the name of each file that
+#			was successfully processed is printed out. Additionally,
+#			if processing of a file failed a message is printed.
+# -load pat		(optional) Preload any packages whose names match
+#			the pattern.  Used to handle DLLs that depend on
+#			other packages during their Init procedure.
+# dir -			Name of the directory in which to create the index.
+# args -		Any number of additional arguments, each giving
+#			a glob pattern that matches the names of one or
+#			more shared libraries or Tcl script files in
+#			dir.
+
+proc pkg_mkIndex {args} {
+    set usage {"pkg_mkIndex ?-direct? ?-lazy? ?-load pattern? ?-verbose? ?--? dir ?pattern ...?"}
+
+    set argCount [llength $args]
+    if {$argCount < 1} {
+	return -code error "wrong # args: should be\n$usage"
+    }
+
+    set more ""
+    set direct 1
+    set doVerbose 0
+    set loadPat ""
+    for {set idx 0} {$idx < $argCount} {incr idx} {
+	set flag [lindex $args $idx]
+	switch -glob -- $flag {
+	    -- {
+		# done with the flags
+		incr idx
+		break
+	    }
+	    -verbose {
+		set doVerbose 1
+	    }
+	    -lazy {
+		set direct 0
+		append more " -lazy"
+	    }
+	    -direct {
+		append more " -direct"
+	    }
+	    -load {
+		incr idx
+		set loadPat [lindex $args $idx]
+		append more " -load $loadPat"
+	    }
+	    -* {
+		return -code error "unknown flag $flag: should be\n$usage"
+	    }
+	    default {
+		# done with the flags
+		break
+	    }
+	}
+    }
+
+    set dir [lindex $args $idx]
+    set patternList [lrange $args [expr {$idx + 1}] end]
+    if {![llength $patternList]} {
+	set patternList [list "*.tcl" "*[info sharedlibextension]"]
+    }
+
+    try {
+	set fileList [glob -directory $dir -tails -types {r f} -- \
+		{*}$patternList]
+    } on error {msg opt} {
+	return -options $opt $msg
+    }
+    foreach file $fileList {
+	# For each file, figure out what commands and packages it provides.
+	# To do this, create a child interpreter, load the file into the
+	# interpreter, and get a list of the new commands and packages that
+	# are defined.
+
+	if {$file eq "pkgIndex.tcl"} {
+	    continue
+	}
+
+	set c [interp create]
+
+	# Load into the child any packages currently loaded in the parent
+	# interpreter that match the -load pattern.
+
+	if {$loadPat ne ""} {
+	    if {$doVerbose} {
+		tclLog "currently loaded packages: '[info loaded]'"
+		tclLog "trying to load all packages matching $loadPat"
+	    }
+	    if {![llength [info loaded]]} {
+		tclLog "warning: no packages are currently loaded, nothing"
+		tclLog "can possibly match '$loadPat'"
+	    }
+	}
+	foreach pkg [info loaded] {
+	    if {![string match -nocase $loadPat [lindex $pkg 1]]} {
+		continue
+	    }
+	    if {$doVerbose} {
+		tclLog "package [lindex $pkg 1] matches '$loadPat'"
+	    }
+	    try {
+		load [lindex $pkg 0] [lindex $pkg 1] $c
+	    } on error err {
+		if {$doVerbose} {
+		    tclLog "warning: load [lindex $pkg 0]\
+			    [lindex $pkg 1]\nfailed with: $err"
+		}
+	    } on ok {} {
+		if {$doVerbose} {
+		    tclLog "loaded [lindex $pkg 0] [lindex $pkg 1]"
+		}
+	    }
+	    if {[lindex $pkg 1] eq "Tk"} {
+		# Withdraw . if Tk was loaded, to avoid showing a window.
+		$c eval [list wm withdraw .]
+	    }
+	}
+
+	$c eval {
+	    # Stub out the package command so packages can require other
+	    # packages.
+
+	    rename package __package_orig
+	    proc package {what args} {
+		switch -- $what {
+		    require {
+			return;		# Ignore transitive requires
+		    }
+		    default {
+			__package_orig $what {*}$args
+		    }
+		}
+	    }
+	    proc tclPkgUnknown args {}
+	    package unknown tclPkgUnknown
+
+	    # Stub out the unknown command so package can call into each other
+	    # during their initialization.
+
+	    proc unknown {args} {}
+
+	    # Stub out the auto_import mechanism
+
+	    proc auto_import {args} {}
+
+	    # reserve the ::tcl namespace for support procs and temporary
+	    # variables.  This might make it awkward to generate a
+	    # pkgIndex.tcl file for the ::tcl namespace.
+
+	    namespace eval ::tcl {
+		variable dir		;# Current directory being processed
+		variable file		;# Current file being processed
+		variable direct		;# -direct flag value
+		variable x		;# Loop variable
+		variable debug		;# For debugging
+		variable type		;# "load" or "source", for -direct
+		variable namespaces	;# Existing namespaces (e.g., ::tcl)
+		variable packages	;# Existing packages (e.g., Tcl)
+		variable origCmds	;# Existing commands
+		variable newCmds	;# Newly created commands
+		variable newPkgs {}	;# Newly created packages
+	    }
+	}
+
+	$c eval [list set ::tcl::dir $dir]
+	$c eval [list set ::tcl::file $file]
+	$c eval [list set ::tcl::direct $direct]
+
+	# Download needed procedures into the child because we've just deleted
+	# the unknown procedure.  This doesn't handle procedures with default
+	# arguments.
+
+	foreach p {::tcl::Pkg::CompareExtension} {
+	    $c eval [list namespace eval [namespace qualifiers $p] {}]
+	    $c eval [list proc $p [info args $p] [info body $p]]
+	}
+
+	try {
+	    $c eval {
+		set ::tcl::debug "loading or sourcing"
+
+		# we need to track command defined by each package even in the
+		# -direct case, because they are needed internally by the
+		# "partial pkgIndex.tcl" step above.
+
+		proc ::tcl::GetAllNamespaces {{root ::}} {
+		    set list $root
+		    foreach ns [namespace children $root] {
+			lappend list {*}[::tcl::GetAllNamespaces $ns]
+		    }
+		    return $list
+		}
+
+		# init the list of existing namespaces, packages, commands
+
+		foreach ::tcl::x [::tcl::GetAllNamespaces] {
+		    set ::tcl::namespaces($::tcl::x) 1
+		}
+		foreach ::tcl::x [package names] {
+		    if {[package provide $::tcl::x] ne ""} {
+			set ::tcl::packages($::tcl::x) 1
+		    }
+		}
+		set ::tcl::origCmds [info commands]
+
+		# Try to load the file if it has the shared library extension,
+		# otherwise source it.  It's important not to try to load
+		# files that aren't shared libraries, because on some systems
+		# (like SunOS) the loader will abort the whole application
+		# when it gets an error.
+
+		if {[::tcl::Pkg::CompareExtension $::tcl::file [info sharedlibextension]]} {
+		    # The "file join ." command below is necessary.  Without
+		    # it, if the file name has no \'s and we're on UNIX, the
+		    # load command will invoke the LD_LIBRARY_PATH search
+		    # mechanism, which could cause the wrong file to be used.
+
+		    set ::tcl::debug loading
+		    load [file join $::tcl::dir $::tcl::file]
+		    set ::tcl::type load
+		} else {
+		    set ::tcl::debug sourcing
+		    source [file join $::tcl::dir $::tcl::file]
+		    set ::tcl::type source
+		}
+
+		# As a performance optimization, if we are creating direct
+		# load packages, don't bother figuring out the set of commands
+		# created by the new packages.  We only need that list for
+		# setting up the autoloading used in the non-direct case.
+		if {!$::tcl::direct} {
+		    # See what new namespaces appeared, and import commands
+		    # from them.  Only exported commands go into the index.
+
+		    foreach ::tcl::x [::tcl::GetAllNamespaces] {
+			if {![info exists ::tcl::namespaces($::tcl::x)]} {
+			    namespace import -force ${::tcl::x}::*
+			}
+
+			# Figure out what commands appeared
+
+			foreach ::tcl::x [info commands] {
+			    set ::tcl::newCmds($::tcl::x) 1
+			}
+			foreach ::tcl::x $::tcl::origCmds {
+			    unset -nocomplain ::tcl::newCmds($::tcl::x)
+			}
+			foreach ::tcl::x [array names ::tcl::newCmds] {
+			    # determine which namespace a command comes from
+
+			    set ::tcl::abs [namespace origin $::tcl::x]
+
+			    # special case so that global names have no
+			    # leading ::, this is required by the unknown
+			    # command
+
+			    set ::tcl::abs \
+				    [lindex [auto_qualify $::tcl::abs ::] 0]
+
+			    if {$::tcl::x ne $::tcl::abs} {
+				# Name changed during qualification
+
+				set ::tcl::newCmds($::tcl::abs) 1
+				unset ::tcl::newCmds($::tcl::x)
+			    }
+			}
+		    }
+		}
+
+		# Look through the packages that appeared, and if there is a
+		# version provided, then record it
+
+		foreach ::tcl::x [package names] {
+		    if {[package provide $::tcl::x] ne ""
+			    && ![info exists ::tcl::packages($::tcl::x)]} {
+			lappend ::tcl::newPkgs \
+			    [list $::tcl::x [package provide $::tcl::x]]
+		    }
+		}
+	    }
+	} on error msg {
+	    set what [$c eval set ::tcl::debug]
+	    if {$doVerbose} {
+		tclLog "warning: error while $what $file: $msg"
+	    }
+	} on ok {} {
+	    set what [$c eval set ::tcl::debug]
+	    if {$doVerbose} {
+		tclLog "successful $what of $file"
+	    }
+	    set type [$c eval set ::tcl::type]
+	    set cmds [lsort [$c eval array names ::tcl::newCmds]]
+	    set pkgs [$c eval set ::tcl::newPkgs]
+	    if {$doVerbose} {
+		if {!$direct} {
+		    tclLog "commands provided were $cmds"
+		}
+		tclLog "packages provided were $pkgs"
+	    }
+	    if {[llength $pkgs] > 1} {
+		tclLog "warning: \"$file\" provides more than one package ($pkgs)"
+	    }
+	    foreach pkg $pkgs {
+		# cmds is empty/not used in the direct case
+		lappend files($pkg) [list $file $type $cmds]
+	    }
+
+	    if {$doVerbose} {
+		tclLog "processed $file"
+	    }
+	}
+	interp delete $c
+    }
+
+    append index "# Tcl package index file, version 1.1\n"
+    append index "# This file is generated by the \"pkg_mkIndex$more\" command\n"
+    append index "# and sourced either when an application starts up or\n"
+    append index "# by a \"package unknown\" script.  It invokes the\n"
+    append index "# \"package ifneeded\" command to set up package-related\n"
+    append index "# information so that packages will be loaded automatically\n"
+    append index "# in response to \"package require\" commands.  When this\n"
+    append index "# script is sourced, the variable \$dir must contain the\n"
+    append index "# full path name of this file's directory.\n"
+
+    foreach pkg [lsort [array names files]] {
+	set cmd {}
+	lassign $pkg name version
+	lappend cmd ::tcl::Pkg::Create -name $name -version $version
+	foreach spec [lsort -index 0 $files($pkg)] {
+	    foreach {file type procs} $spec {
+		if {$direct} {
+		    set procs {}
+		}
+		lappend cmd "-$type" [list $file $procs]
+	    }
+	}
+	append index "\n[eval $cmd]"
+    }
+
+    set f [open [file join $dir pkgIndex.tcl] w]
+    puts $f $index
+    close $f
+}
+
+# tclPkgSetup --
+# This is a utility procedure use by pkgIndex.tcl files.  It is invoked as
+# part of a "package ifneeded" script.  It calls "package provide" to indicate
+# that a package is available, then sets entries in the auto_index array so
+# that the package's files will be auto-loaded when the commands are used.
+#
+# Arguments:
+# dir -			Directory containing all the files for this package.
+# pkg -			Name of the package (no version number).
+# version -		Version number for the package, such as 2.1.3.
+# files -		List of files that constitute the package.  Each
+#			element is a sub-list with three elements.  The first
+#			is the name of a file relative to $dir, the second is
+#			"load" or "source", indicating whether the file is a
+#			loadable binary or a script to source, and the third
+#			is a list of commands defined by this file.
+
+proc tclPkgSetup {dir pkg version files} {
+    global auto_index
+
+    package provide $pkg $version
+    foreach fileInfo $files {
+	set f [lindex $fileInfo 0]
+	set type [lindex $fileInfo 1]
+	foreach cmd [lindex $fileInfo 2] {
+	    if {$type eq "load"} {
+		set auto_index($cmd) [list load [file join $dir $f] $pkg]
+	    } else {
+		set auto_index($cmd) [list source [file join $dir $f]]
+	    }
+	}
+    }
+}
+
+# tclPkgUnknown --
+# This procedure provides the default for the "package unknown" function.  It
+# is invoked when a package that's needed can't be found.  It scans the
+# auto_path directories and their immediate children looking for pkgIndex.tcl
+# files and sources any such files that are found to setup the package
+# database. As it searches, it will recognize changes to the auto_path and
+# scan any new directories.
+#
+# Arguments:
+# name -		Name of desired package.  Not used.
+# version -		Version of desired package.  Not used.
+# exact -		Either "-exact" or omitted.  Not used.
+
+proc tclPkgUnknown {name args} {
+    global auto_path env
+
+    if {![info exists auto_path]} {
+	return
+    }
+    # Cache the auto_path, because it may change while we run through the
+    # first set of pkgIndex.tcl files
+    set old_path [set use_path $auto_path]
+    while {[llength $use_path]} {
+	set dir [lindex $use_path end]
+
+	# Make sure we only scan each directory one time.
+	if {[info exists tclSeenPath($dir)]} {
+	    set use_path [lrange $use_path 0 end-1]
+	    continue
+	}
+	set tclSeenPath($dir) 1
+
+	# Get the pkgIndex.tcl files in subdirectories of auto_path directories.
+	# - Safe Base interpreters have a restricted "glob" command that
+	#   works in this case.
+	# - The "catch" was essential when there was no safe glob and every
+	#   call in a safe interp failed; it is retained only for corner
+	#   cases in which the eventual call to glob returns an error.
+	catch {
+	    foreach file [glob -directory $dir -join -nocomplain \
+		    * pkgIndex.tcl] {
+		set dir [file dirname $file]
+		if {![info exists procdDirs($dir)]} {
+		    try {
+			source $file
+		    } trap {POSIX EACCES} {} {
+			# $file was not readable; silently ignore
+			continue
+		    } on error msg {
+			tclLog "error reading package index file $file: $msg"
+		    } on ok {} {
+			set procdDirs($dir) 1
+		    }
+		}
+	    }
+	}
+	set dir [lindex $use_path end]
+	if {![info exists procdDirs($dir)]} {
+	    set file [file join $dir pkgIndex.tcl]
+	    # safe interps usually don't have "file exists",
+	    if {([interp issafe] || [file exists $file])} {
+		try {
+		    source $file
+		} trap {POSIX EACCES} {} {
+		    # $file was not readable; silently ignore
+		    continue
+		} on error msg {
+		    tclLog "error reading package index file $file: $msg"
+		} on ok {} {
+		    set procdDirs($dir) 1
+		}
+	    }
+	}
+
+	set use_path [lrange $use_path 0 end-1]
+
+	# Check whether any of the index scripts we [source]d above set a new
+	# value for $::auto_path.  If so, then find any new directories on the
+	# $::auto_path, and lappend them to the $use_path we are working from.
+	# This gives index scripts the (arguably unwise) power to expand the
+	# index script search path while the search is in progress.
+	set index 0
+	if {[llength $old_path] == [llength $auto_path]} {
+	    foreach dir $auto_path old $old_path {
+		if {$dir ne $old} {
+		    # This entry in $::auto_path has changed.
+		    break
+		}
+		incr index
+	    }
+	}
+
+	# $index now points to the first element of $auto_path that has
+	# changed, or the beginning if $auto_path has changed length Scan the
+	# new elements of $auto_path for directories to add to $use_path.
+	# Don't add directories we've already seen, or ones already on the
+	# $use_path.
+	foreach dir [lrange $auto_path $index end] {
+	    if {![info exists tclSeenPath($dir)] && ($dir ni $use_path)} {
+		lappend use_path $dir
+	    }
+	}
+	set old_path $auto_path
+    }
+}
+
+# tcl::MacOSXPkgUnknown --
+# This procedure extends the "package unknown" function for MacOSX.  It scans
+# the Resources/Scripts directories of the immediate children of the auto_path
+# directories for pkgIndex files.
+#
+# Arguments:
+# original -		original [package unknown] procedure
+# name -		Name of desired package.  Not used.
+# version -		Version of desired package.  Not used.
+# exact -		Either "-exact" or omitted.  Not used.
+
+proc tcl::MacOSXPkgUnknown {original name args} {
+    #  First do the cross-platform default search
+    uplevel 1 $original [linsert $args 0 $name]
+
+    # Now do MacOSX specific searching
+    global auto_path
+
+    if {![info exists auto_path]} {
+	return
+    }
+    # Cache the auto_path, because it may change while we run through the
+    # first set of pkgIndex.tcl files
+    set old_path [set use_path $auto_path]
+    while {[llength $use_path]} {
+	set dir [lindex $use_path end]
+
+	# Make sure we only scan each directory one time.
+	if {[info exists tclSeenPath($dir)]} {
+	    set use_path [lrange $use_path 0 end-1]
+	    continue
+	}
+	set tclSeenPath($dir) 1
+
+	# get the pkgIndex files out of the subdirectories
+	# Safe interpreters do not use tcl::MacOSXPkgUnknown - see init.tcl.
+	foreach file [glob -directory $dir -join -nocomplain \
+		* Resources Scripts pkgIndex.tcl] {
+	    set dir [file dirname $file]
+	    if {![info exists procdDirs($dir)]} {
+		try {
+		    source $file
+		} trap {POSIX EACCES} {} {
+		    # $file was not readable; silently ignore
+		    continue
+		} on error msg {
+		    tclLog "error reading package index file $file: $msg"
+		} on ok {} {
+		    set procdDirs($dir) 1
+		}
+	    }
+	}
+	set use_path [lrange $use_path 0 end-1]
+
+	# Check whether any of the index scripts we [source]d above set a new
+	# value for $::auto_path.  If so, then find any new directories on the
+	# $::auto_path, and lappend them to the $use_path we are working from.
+	# This gives index scripts the (arguably unwise) power to expand the
+	# index script search path while the search is in progress.
+	set index 0
+	if {[llength $old_path] == [llength $auto_path]} {
+	    foreach dir $auto_path old $old_path {
+		if {$dir ne $old} {
+		    # This entry in $::auto_path has changed.
+		    break
+		}
+		incr index
+	    }
+	}
+
+	# $index now points to the first element of $auto_path that has
+	# changed, or the beginning if $auto_path has changed length Scan the
+	# new elements of $auto_path for directories to add to $use_path.
+	# Don't add directories we've already seen, or ones already on the
+	# $use_path.
+	foreach dir [lrange $auto_path $index end] {
+	    if {![info exists tclSeenPath($dir)] && ($dir ni $use_path)} {
+		lappend use_path $dir
+	    }
+	}
+	set old_path $auto_path
+    }
+}
+
+# ::tcl::Pkg::Create --
+#
+#	Given a package specification generate a "package ifneeded" statement
+#	for the package, suitable for inclusion in a pkgIndex.tcl file.
+#
+# Arguments:
+#	args		arguments used by the Create function:
+#			-name		packageName
+#			-version	packageVersion
+#			-load		{filename ?{procs}?}
+#			...
+#			-source		{filename ?{procs}?}
+#			...
+#
+#			Any number of -load and -source parameters may be
+#			specified, so long as there is at least one -load or
+#			-source parameter.  If the procs component of a module
+#			specifier is left off, that module will be set up for
+#			direct loading; otherwise, it will be set up for lazy
+#			loading.  If both -source and -load are specified, the
+#			-load'ed files will be loaded first, followed by the
+#			-source'd files.
+#
+# Results:
+#	An appropriate "package ifneeded" statement for the package.
+
+proc ::tcl::Pkg::Create {args} {
+    append err(usage) "[lindex [info level 0] 0] "
+    append err(usage) "-name packageName -version packageVersion"
+    append err(usage) "?-load {filename ?{procs}?}? ... "
+    append err(usage) "?-source {filename ?{procs}?}? ..."
+
+    set err(wrongNumArgs) "wrong # args: should be \"$err(usage)\""
+    set err(valueMissing) "value for \"%s\" missing: should be \"$err(usage)\""
+    set err(unknownOpt)   "unknown option \"%s\": should be \"$err(usage)\""
+    set err(noLoadOrSource) "at least one of -load and -source must be given"
+
+    # process arguments
+    set len [llength $args]
+    if {$len < 6} {
+	error $err(wrongNumArgs)
+    }
+
+    # Initialize parameters
+    array set opts {-name {} -version {} -source {} -load {}}
+
+    # process parameters
+    for {set i 0} {$i < $len} {incr i} {
+	set flag [lindex $args $i]
+	incr i
+	switch -glob -- $flag {
+	    "-name"		-
+	    "-version"		{
+		if {$i >= $len} {
+		    error [format $err(valueMissing) $flag]
+		}
+		set opts($flag) [lindex $args $i]
+	    }
+	    "-source"		-
+	    "-load"		{
+		if {$i >= $len} {
+		    error [format $err(valueMissing) $flag]
+		}
+		lappend opts($flag) [lindex $args $i]
+	    }
+	    default {
+		error [format $err(unknownOpt) [lindex $args $i]]
+	    }
+	}
+    }
+
+    # Validate the parameters
+    if {![llength $opts(-name)]} {
+	error [format $err(valueMissing) "-name"]
+    }
+    if {![llength $opts(-version)]} {
+	error [format $err(valueMissing) "-version"]
+    }
+
+    if {!([llength $opts(-source)] || [llength $opts(-load)])} {
+	error $err(noLoadOrSource)
+    }
+
+    # OK, now everything is good.  Generate the package ifneeded statement.
+    set cmdline "package ifneeded $opts(-name) $opts(-version) "
+
+    set cmdList {}
+    set lazyFileList {}
+
+    # Handle -load and -source specs
+    foreach key {load source} {
+	foreach filespec $opts(-$key) {
+	    lassign $filespec filename proclist
+
+	    if { [llength $proclist] == 0 } {
+		set cmd "\[list $key \[file join \$dir [list $filename]\]\]"
+		lappend cmdList $cmd
+	    } else {
+		lappend lazyFileList [list $filename $key $proclist]
+	    }
+	}
+    }
+
+    if {[llength $lazyFileList]} {
+	lappend cmdList "\[list tclPkgSetup \$dir $opts(-name)\
+		$opts(-version) [list $lazyFileList]\]"
+    }
+    append cmdline [join $cmdList "\\n"]
+    return $cmdline
+}
+
+interp alias {} ::pkg::create {} ::tcl::Pkg::Create

mplug_owl2/lib/tcl8.6/safe.tcl

@@ -0,0 +1,1289 @@
+# safe.tcl --
+#
+# This file provide a safe loading/sourcing mechanism for safe interpreters.
+# It implements a virtual path mechanism to hide the real pathnames from the
+# child. It runs in a parent interpreter and sets up data structure and
+# aliases that will be invoked when used from a child interpreter.
+#
+# See the safe.n man page for details.
+#
+# Copyright (c) 1996-1997 Sun Microsystems, Inc.
+#
+# See the file "license.terms" for information on usage and redistribution of
+# this file, and for a DISCLAIMER OF ALL WARRANTIES.
+
+#
+# The implementation is based on namespaces. These naming conventions are
+# followed:
+# Private procs starts with uppercase.
+# Public  procs are exported and starts with lowercase
+#
+
+# Needed utilities package
+package require opt 0.4.8
+
+# Create the safe namespace
+namespace eval ::safe {
+    # Exported API:
+    namespace export interpCreate interpInit interpConfigure interpDelete \
+	interpAddToAccessPath interpFindInAccessPath setLogCmd
+}
+
+# Helper function to resolve the dual way of specifying staticsok (either
+# by -noStatics or -statics 0)
+proc ::safe::InterpStatics {} {
+    foreach v {Args statics noStatics} {
+	upvar $v $v
+    }
+    set flag [::tcl::OptProcArgGiven -noStatics]
+    if {$flag && (!$noStatics == !$statics)
+	&& ([::tcl::OptProcArgGiven -statics])} {
+	return -code error\
+	    "conflicting values given for -statics and -noStatics"
+    }
+    if {$flag} {
+	return [expr {!$noStatics}]
+    } else {
+	return $statics
+    }
+}
+
+# Helper function to resolve the dual way of specifying nested loading
+# (either by -nestedLoadOk or -nested 1)
+proc ::safe::InterpNested {} {
+    foreach v {Args nested nestedLoadOk} {
+	upvar $v $v
+    }
+    set flag [::tcl::OptProcArgGiven -nestedLoadOk]
+    # note that the test here is the opposite of the "InterpStatics" one
+    # (it is not -noNested... because of the wanted default value)
+    if {$flag && (!$nestedLoadOk != !$nested)
+	&& ([::tcl::OptProcArgGiven -nested])} {
+	return -code error\
+	    "conflicting values given for -nested and -nestedLoadOk"
+    }
+    if {$flag} {
+	# another difference with "InterpStatics"
+	return $nestedLoadOk
+    } else {
+	return $nested
+    }
+}
+
+####
+#
+#  API entry points that needs argument parsing :
+#
+####
+
+# Interface/entry point function and front end for "Create"
+proc ::safe::interpCreate {args} {
+    set Args [::tcl::OptKeyParse ::safe::interpCreate $args]
+    RejectExcessColons $slave
+    InterpCreate $slave $accessPath \
+	[InterpStatics] [InterpNested] $deleteHook
+}
+
+proc ::safe::interpInit {args} {
+    set Args [::tcl::OptKeyParse ::safe::interpIC $args]
+    if {![::interp exists $slave]} {
+	return -code error "\"$slave\" is not an interpreter"
+    }
+    RejectExcessColons $slave
+    InterpInit $slave $accessPath \
+	[InterpStatics] [InterpNested] $deleteHook
+}
+
+# Check that the given child is "one of us"
+proc ::safe::CheckInterp {child} {
+    namespace upvar ::safe [VarName $child] state
+    if {![info exists state] || ![::interp exists $child]} {
+	return -code error \
+	    "\"$child\" is not an interpreter managed by ::safe::"
+    }
+}
+
+# Interface/entry point function and front end for "Configure".  This code
+# is awfully pedestrian because it would need more coupling and support
+# between the way we store the configuration values in safe::interp's and
+# the Opt package. Obviously we would like an OptConfigure to avoid
+# duplicating all this code everywhere.
+# -> TODO (the app should share or access easily the program/value stored
+# by opt)
+
+# This is even more complicated by the boolean flags with no values that
+# we had the bad idea to support for the sake of user simplicity in
+# create/init but which makes life hard in configure...
+# So this will be hopefully written and some integrated with opt1.0
+# (hopefully for tcl8.1 ?)
+proc ::safe::interpConfigure {args} {
+    switch [llength $args] {
+	1 {
+	    # If we have exactly 1 argument the semantic is to return all
+	    # the current configuration. We still call OptKeyParse though
+	    # we know that "child" is our given argument because it also
+	    # checks for the "-help" option.
+	    set Args [::tcl::OptKeyParse ::safe::interpIC $args]
+	    CheckInterp $slave
+	    namespace upvar ::safe [VarName $slave] state
+
+	    return [join [list \
+		[list -accessPath $state(access_path)] \
+		[list -statics    $state(staticsok)]   \
+		[list -nested     $state(nestedok)]    \
+		[list -deleteHook $state(cleanupHook)]]]
+	}
+	2 {
+	    # If we have exactly 2 arguments the semantic is a "configure
+	    # get"
+	    lassign $args slave arg
+
+	    # get the flag sub program (we 'know' about Opt's internal
+	    # representation of data)
+	    set desc [lindex [::tcl::OptKeyGetDesc ::safe::interpIC] 2]
+	    set hits [::tcl::OptHits desc $arg]
+	    if {$hits > 1} {
+		return -code error [::tcl::OptAmbigous $desc $arg]
+	    } elseif {$hits == 0} {
+		return -code error [::tcl::OptFlagUsage $desc $arg]
+	    }
+	    CheckInterp $slave
+	    namespace upvar ::safe [VarName $slave] state
+
+	    set item [::tcl::OptCurDesc $desc]
+	    set name [::tcl::OptName $item]
+	    switch -exact -- $name {
+		-accessPath {
+		    return [list -accessPath $state(access_path)]
+		}
+		-statics    {
+		    return [list -statics $state(staticsok)]
+		}
+		-nested     {
+		    return [list -nested $state(nestedok)]
+		}
+		-deleteHook {
+		    return [list -deleteHook $state(cleanupHook)]
+		}
+		-noStatics {
+		    # it is most probably a set in fact but we would need
+		    # then to jump to the set part and it is not *sure*
+		    # that it is a set action that the user want, so force
+		    # it to use the unambiguous -statics ?value? instead:
+		    return -code error\
+			"ambigous query (get or set -noStatics ?)\
+				use -statics instead"
+		}
+		-nestedLoadOk {
+		    return -code error\
+			"ambigous query (get or set -nestedLoadOk ?)\
+				use -nested instead"
+		}
+		default {
+		    return -code error "unknown flag $name (bug)"
+		}
+	    }
+	}
+	default {
+	    # Otherwise we want to parse the arguments like init and
+	    # create did
+	    set Args [::tcl::OptKeyParse ::safe::interpIC $args]
+	    CheckInterp $slave
+	    namespace upvar ::safe [VarName $slave] state
+
+	    # Get the current (and not the default) values of whatever has
+	    # not been given:
+	    if {![::tcl::OptProcArgGiven -accessPath]} {
+		set doreset 0
+		set accessPath $state(access_path)
+	    } else {
+		set doreset 1
+	    }
+	    if {
+		![::tcl::OptProcArgGiven -statics]
+		&& ![::tcl::OptProcArgGiven -noStatics]
+	    } then {
+		set statics    $state(staticsok)
+	    } else {
+		set statics    [InterpStatics]
+	    }
+	    if {
+		[::tcl::OptProcArgGiven -nested] ||
+		[::tcl::OptProcArgGiven -nestedLoadOk]
+	    } then {
+		set nested     [InterpNested]
+	    } else {
+		set nested     $state(nestedok)
+	    }
+	    if {![::tcl::OptProcArgGiven -deleteHook]} {
+		set deleteHook $state(cleanupHook)
+	    }
+	    # we can now reconfigure :
+	    InterpSetConfig $slave $accessPath $statics $nested $deleteHook
+	    # auto_reset the child (to completely synch the new access_path)
+	    if {$doreset} {
+		if {[catch {::interp eval $slave {auto_reset}} msg]} {
+		    Log $slave "auto_reset failed: $msg"
+		} else {
+		    Log $slave "successful auto_reset" NOTICE
+		}
+
+		# Sync the paths used to search for Tcl modules.
+		::interp eval $slave {tcl::tm::path remove {*}[tcl::tm::list]}
+		if {[llength $state(tm_path_slave)] > 0} {
+		    ::interp eval $slave [list \
+			    ::tcl::tm::add {*}[lreverse $state(tm_path_slave)]]
+		}
+
+		# Remove stale "package ifneeded" data for non-loaded packages.
+		# - Not for loaded packages, because "package forget" erases
+		#   data from "package provide" as well as "package ifneeded".
+		# - This is OK because the script cannot reload any version of
+		#   the package unless it first does "package forget".
+		foreach pkg [::interp eval $slave {package names}] {
+		    if {[::interp eval $slave [list package provide $pkg]] eq ""} {
+			::interp eval $slave [list package forget $pkg]
+		    }
+		}
+	    }
+	    return
+	}
+    }
+}
+
+####
+#
+#  Functions that actually implements the exported APIs
+#
+####
+
+#
+# safe::InterpCreate : doing the real job
+#
+# This procedure creates a safe interpreter and initializes it with the safe
+# base aliases.
+# NB: child name must be simple alphanumeric string, no spaces, no (), no
+# {},...  {because the state array is stored as part of the name}
+#
+# Returns the child name.
+#
+# Optional Arguments :
+# + child name : if empty, generated name will be used
+# + access_path: path list controlling where load/source can occur,
+#                if empty: the parent auto_path will be used.
+# + staticsok  : flag, if 0 :no static package can be loaded (load {} Xxx)
+#                      if 1 :static packages are ok.
+# + nestedok: flag, if 0 :no loading to sub-sub interps (load xx xx sub)
+#                      if 1 : multiple levels are ok.
+
+# use the full name and no indent so auto_mkIndex can find us
+proc ::safe::InterpCreate {
+			   child
+			   access_path
+			   staticsok
+			   nestedok
+			   deletehook
+		       } {
+    # Create the child.
+    # If evaluated in ::safe, the interpreter command for foo is ::foo;
+    # but for foo::bar is safe::foo::bar.  So evaluate in :: instead.
+    if {$child ne ""} {
+	namespace eval :: [list ::interp create -safe $child]
+    } else {
+	# empty argument: generate child name
+	set child [::interp create -safe]
+    }
+    Log $child "Created" NOTICE
+
+    # Initialize it. (returns child name)
+    InterpInit $child $access_path $staticsok $nestedok $deletehook
+}
+
+#
+# InterpSetConfig (was setAccessPath) :
+#    Sets up child virtual auto_path and corresponding structure within
+#    the parent. Also sets the tcl_library in the child to be the first
+#    directory in the path.
+#    NB: If you change the path after the child has been initialized you
+#    probably need to call "auto_reset" in the child in order that it gets
+#    the right auto_index() array values.
+
+proc ::safe::InterpSetConfig {child access_path staticsok nestedok deletehook} {
+    global auto_path
+
+    # determine and store the access path if empty
+    if {$access_path eq ""} {
+	set access_path $auto_path
+
+	# Make sure that tcl_library is in auto_path and at the first
+	# position (needed by setAccessPath)
+	set where [lsearch -exact $access_path [info library]]
+	if {$where < 0} {
+	    # not found, add it.
+	    set access_path [linsert $access_path 0 [info library]]
+	    Log $child "tcl_library was not in auto_path,\
+			added it to slave's access_path" NOTICE
+	} elseif {$where != 0} {
+	    # not first, move it first
+	    set access_path [linsert \
+				 [lreplace $access_path $where $where] \
+				 0 [info library]]
+	    Log $child "tcl_libray was not in first in auto_path,\
+			moved it to front of slave's access_path" NOTICE
+	}
+
+	# Add 1st level subdirs (will searched by auto loading from tcl
+	# code in the child using glob and thus fail, so we add them here
+	# so by default it works the same).
+	set access_path [AddSubDirs $access_path]
+    }
+
+    Log $child "Setting accessPath=($access_path) staticsok=$staticsok\
+		nestedok=$nestedok deletehook=($deletehook)" NOTICE
+
+    namespace upvar ::safe [VarName $child] state
+
+    # clear old autopath if it existed
+    # build new one
+    # Extend the access list with the paths used to look for Tcl Modules.
+    # We save the virtual form separately as well, as syncing it with the
+    # child has to be deferred until the necessary commands are present for
+    # setup.
+
+    set norm_access_path  {}
+    set slave_access_path {}
+    set map_access_path   {}
+    set remap_access_path {}
+    set slave_tm_path     {}
+
+    set i 0
+    foreach dir $access_path {
+	set token [PathToken $i]
+	lappend slave_access_path  $token
+	lappend map_access_path    $token $dir
+	lappend remap_access_path  $dir $token
+	lappend norm_access_path   [file normalize $dir]
+	incr i
+    }
+
+    set morepaths [::tcl::tm::list]
+    set firstpass 1
+    while {[llength $morepaths]} {
+	set addpaths $morepaths
+	set morepaths {}
+
+	foreach dir $addpaths {
+	    # Prevent the addition of dirs on the tm list to the
+	    # result if they are already known.
+	    if {[dict exists $remap_access_path $dir]} {
+	        if {$firstpass} {
+		    # $dir is in [::tcl::tm::list] and belongs in the slave_tm_path.
+		    # Later passes handle subdirectories, which belong in the
+		    # access path but not in the module path.
+		    lappend slave_tm_path  [dict get $remap_access_path $dir]
+		}
+		continue
+	    }
+
+	    set token [PathToken $i]
+	    lappend access_path        $dir
+	    lappend slave_access_path  $token
+	    lappend map_access_path    $token $dir
+	    lappend remap_access_path  $dir $token
+	    lappend norm_access_path   [file normalize $dir]
+	    if {$firstpass} {
+		# $dir is in [::tcl::tm::list] and belongs in the slave_tm_path.
+		# Later passes handle subdirectories, which belong in the
+		# access path but not in the module path.
+		lappend slave_tm_path  $token
+	    }
+	    incr i
+
+	    # [Bug 2854929]
+	    # Recursively find deeper paths which may contain
+	    # modules. Required to handle modules with names like
+	    # 'platform::shell', which translate into
+	    # 'platform/shell-X.tm', i.e arbitrarily deep
+	    # subdirectories.
+	    lappend morepaths {*}[glob -nocomplain -directory $dir -type d *]
+	}
+	set firstpass 0
+    }
+
+    set state(access_path)       $access_path
+    set state(access_path,map)   $map_access_path
+    set state(access_path,remap) $remap_access_path
+    set state(access_path,norm)  $norm_access_path
+    set state(access_path,slave) $slave_access_path
+    set state(tm_path_slave)     $slave_tm_path
+    set state(staticsok)         $staticsok
+    set state(nestedok)          $nestedok
+    set state(cleanupHook)       $deletehook
+
+    SyncAccessPath $child
+    return
+}
+
+#
+#
+# FindInAccessPath:
+#    Search for a real directory and returns its virtual Id (including the
+#    "$")
+proc ::safe::interpFindInAccessPath {child path} {
+    CheckInterp $child
+    namespace upvar ::safe [VarName $child] state
+
+    if {![dict exists $state(access_path,remap) $path]} {
+	return -code error "$path not found in access path"
+    }
+
+    return [dict get $state(access_path,remap) $path]
+}
+
+#
+# addToAccessPath:
+#    add (if needed) a real directory to access path and return its
+#    virtual token (including the "$").
+proc ::safe::interpAddToAccessPath {child path} {
+    # first check if the directory is already in there
+    # (inlined interpFindInAccessPath).
+    CheckInterp $child
+    namespace upvar ::safe [VarName $child] state
+
+    if {[dict exists $state(access_path,remap) $path]} {
+	return [dict get $state(access_path,remap) $path]
+    }
+
+    # new one, add it:
+    set token [PathToken [llength $state(access_path)]]
+
+    lappend state(access_path)       $path
+    lappend state(access_path,slave) $token
+    lappend state(access_path,map)   $token $path
+    lappend state(access_path,remap) $path $token
+    lappend state(access_path,norm)  [file normalize $path]
+
+    SyncAccessPath $child
+    return $token
+}
+
+# This procedure applies the initializations to an already existing
+# interpreter. It is useful when you want to install the safe base aliases
+# into a preexisting safe interpreter.
+proc ::safe::InterpInit {
+			 child
+			 access_path
+			 staticsok
+			 nestedok
+			 deletehook
+		     } {
+    # Configure will generate an access_path when access_path is empty.
+    InterpSetConfig $child $access_path $staticsok $nestedok $deletehook
+
+    # NB we need to add [namespace current], aliases are always absolute
+    # paths.
+
+    # These aliases let the child load files to define new commands
+    # This alias lets the child use the encoding names, convertfrom,
+    # convertto, and system, but not "encoding system <name>" to set the
+    # system encoding.
+    # Handling Tcl Modules, we need a restricted form of Glob.
+    # This alias interposes on the 'exit' command and cleanly terminates
+    # the child.
+
+    foreach {command alias} {
+	source   AliasSource
+	load     AliasLoad
+	encoding AliasEncoding
+	exit     interpDelete
+	glob     AliasGlob
+    } {
+	::interp alias $child $command {} [namespace current]::$alias $child
+    }
+
+    # This alias lets the child have access to a subset of the 'file'
+    # command functionality.
+
+    ::interp expose $child file
+    foreach subcommand {dirname extension rootname tail} {
+	::interp alias $child ::tcl::file::$subcommand {} \
+	    ::safe::AliasFileSubcommand $child $subcommand
+    }
+    foreach subcommand {
+	atime attributes copy delete executable exists isdirectory isfile
+	link lstat mtime mkdir nativename normalize owned readable readlink
+	rename size stat tempfile type volumes writable
+    } {
+	::interp alias $child ::tcl::file::$subcommand {} \
+	    ::safe::BadSubcommand $child file $subcommand
+    }
+
+    # Subcommands of info
+    foreach {subcommand alias} {
+	nameofexecutable   AliasExeName
+    } {
+	::interp alias $child ::tcl::info::$subcommand \
+	    {} [namespace current]::$alias $child
+    }
+
+    # The allowed child variables already have been set by Tcl_MakeSafe(3)
+
+    # Source init.tcl and tm.tcl into the child, to get auto_load and
+    # other procedures defined:
+
+    if {[catch {::interp eval $child {
+	source [file join $tcl_library init.tcl]
+    }} msg opt]} {
+	Log $child "can't source init.tcl ($msg)"
+	return -options $opt "can't source init.tcl into slave $child ($msg)"
+    }
+
+    if {[catch {::interp eval $child {
+	source [file join $tcl_library tm.tcl]
+    }} msg opt]} {
+	Log $child "can't source tm.tcl ($msg)"
+	return -options $opt "can't source tm.tcl into slave $child ($msg)"
+    }
+
+    # Sync the paths used to search for Tcl modules. This can be done only
+    # now, after tm.tcl was loaded.
+    namespace upvar ::safe [VarName $child] state
+    if {[llength $state(tm_path_slave)] > 0} {
+	::interp eval $child [list \
+		::tcl::tm::add {*}[lreverse $state(tm_path_slave)]]
+    }
+    return $child
+}
+
+# Add (only if needed, avoid duplicates) 1 level of sub directories to an
+# existing path list.  Also removes non directories from the returned
+# list.
+proc ::safe::AddSubDirs {pathList} {
+    set res {}
+    foreach dir $pathList {
+	if {[file isdirectory $dir]} {
+	    # check that we don't have it yet as a children of a previous
+	    # dir
+	    if {$dir ni $res} {
+		lappend res $dir
+	    }
+	    foreach sub [glob -directory $dir -nocomplain *] {
+		if {[file isdirectory $sub] && ($sub ni $res)} {
+		    # new sub dir, add it !
+		    lappend res $sub
+		}
+	    }
+	}
+    }
+    return $res
+}
+
+# This procedure deletes a safe interpreter managed by Safe Tcl and cleans up
+# associated state.
+# - The command will also delete non-Safe-Base interpreters.
+# - This is regrettable, but to avoid breaking existing code this should be
+#   amended at the next major revision by uncommenting "CheckInterp".
+
+proc ::safe::interpDelete {child} {
+    Log $child "About to delete" NOTICE
+
+    # CheckInterp $child
+    namespace upvar ::safe [VarName $child] state
+
+    # When an interpreter is deleted with [interp delete], any sub-interpreters
+    # are deleted automatically, but this leaves behind their data in the Safe
+    # Base. To clean up properly, we call safe::interpDelete recursively on each
+    # Safe Base sub-interpreter, so each one is deleted cleanly and not by
+    # the automatic mechanism built into [interp delete].
+    foreach sub [interp children $child] {
+        if {[info exists ::safe::[VarName [list $child $sub]]]} {
+            ::safe::interpDelete [list $child $sub]
+        }
+    }
+
+    # If the child has a cleanup hook registered, call it.  Check the
+    # existence because we might be called to delete an interp which has
+    # not been registered with us at all
+
+    if {[info exists state(cleanupHook)]} {
+	set hook $state(cleanupHook)
+	if {[llength $hook]} {
+	    # remove the hook now, otherwise if the hook calls us somehow,
+	    # we'll loop
+	    unset state(cleanupHook)
+	    try {
+		{*}$hook $child
+	    } on error err {
+		Log $child "Delete hook error ($err)"
+	    }
+	}
+    }
+
+    # Discard the global array of state associated with the child, and
+    # delete the interpreter.
+
+    if {[info exists state]} {
+	unset state
+    }
+
+    # if we have been called twice, the interp might have been deleted
+    # already
+    if {[::interp exists $child]} {
+	::interp delete $child
+	Log $child "Deleted" NOTICE
+    }
+
+    return
+}
+
+# Set (or get) the logging mechanism
+
+proc ::safe::setLogCmd {args} {
+    variable Log
+    set la [llength $args]
+    if {$la == 0} {
+	return $Log
+    } elseif {$la == 1} {
+	set Log [lindex $args 0]
+    } else {
+	set Log $args
+    }
+
+    if {$Log eq ""} {
+	# Disable logging completely. Calls to it will be compiled out
+	# of all users.
+	proc ::safe::Log {args} {}
+    } else {
+	# Activate logging, define proper command.
+
+	proc ::safe::Log {child msg {type ERROR}} {
+	    variable Log
+	    {*}$Log "$type for slave $child : $msg"
+	    return
+	}
+    }
+}
+
+# ------------------- END OF PUBLIC METHODS ------------
+
+#
+# Sets the child auto_path to the parent recorded value.  Also sets
+# tcl_library to the first token of the virtual path.
+#
+proc ::safe::SyncAccessPath {child} {
+    namespace upvar ::safe [VarName $child] state
+
+    set slave_access_path $state(access_path,slave)
+    ::interp eval $child [list set auto_path $slave_access_path]
+
+    Log $child "auto_path in $child has been set to $slave_access_path"\
+	NOTICE
+
+    # This code assumes that info library is the first element in the
+    # list of auto_path's. See -> InterpSetConfig for the code which
+    # ensures this condition.
+
+    ::interp eval $child [list \
+	      set tcl_library [lindex $slave_access_path 0]]
+}
+
+# Returns the virtual token for directory number N.
+proc ::safe::PathToken {n} {
+    # We need to have a ":" in the token string so [file join] on the
+    # mac won't turn it into a relative path.
+    return "\$p(:$n:)" ;# Form tested by case 7.2
+}
+
+#
+# translate virtual path into real path
+#
+proc ::safe::TranslatePath {child path} {
+    namespace upvar ::safe [VarName $child] state
+
+    # somehow strip the namespaces 'functionality' out (the danger is that
+    # we would strip valid macintosh "../" queries... :
+    if {[string match "*::*" $path] || [string match "*..*" $path]} {
+	return -code error "invalid characters in path $path"
+    }
+
+    # Use a cached map instead of computed local vars and subst.
+
+    return [string map $state(access_path,map) $path]
+}
+
+# file name control (limit access to files/resources that should be a
+# valid tcl source file)
+proc ::safe::CheckFileName {child file} {
+    # This used to limit what can be sourced to ".tcl" and forbid files
+    # with more than 1 dot and longer than 14 chars, but I changed that
+    # for 8.4 as a safe interp has enough internal protection already to
+    # allow sourcing anything. - hobbs
+
+    if {![file exists $file]} {
+	# don't tell the file path
+	return -code error "no such file or directory"
+    }
+
+    if {![file readable $file]} {
+	# don't tell the file path
+	return -code error "not readable"
+    }
+}
+
+# AliasFileSubcommand handles selected subcommands of [file] in safe
+# interpreters that are *almost* safe. In particular, it just acts to
+# prevent discovery of what home directories exist.
+
+proc ::safe::AliasFileSubcommand {child subcommand name} {
+    if {[string match ~* $name]} {
+	set name ./$name
+    }
+    tailcall ::interp invokehidden $child tcl:file:$subcommand $name
+}
+
+# AliasGlob is the target of the "glob" alias in safe interpreters.
+
+proc ::safe::AliasGlob {child args} {
+    Log $child "GLOB ! $args" NOTICE
+    set cmd {}
+    set at 0
+    array set got {
+	-directory 0
+	-nocomplain 0
+	-join 0
+	-tails 0
+	-- 0
+    }
+
+    if {$::tcl_platform(platform) eq "windows"} {
+	set dirPartRE {^(.*)[\\/]([^\\/]*)$}
+    } else {
+	set dirPartRE {^(.*)/([^/]*)$}
+    }
+
+    set dir        {}
+    set virtualdir {}
+
+    while {$at < [llength $args]} {
+	switch -glob -- [set opt [lindex $args $at]] {
+	    -nocomplain - -- - -tails {
+		lappend cmd $opt
+		set got($opt) 1
+		incr at
+	    }
+	    -join {
+		set got($opt) 1
+		incr at
+	    }
+	    -types - -type {
+		lappend cmd -types [lindex $args [incr at]]
+		incr at
+	    }
+	    -directory {
+		if {$got($opt)} {
+		    return -code error \
+			{"-directory" cannot be used with "-path"}
+		}
+		set got($opt) 1
+		set virtualdir [lindex $args [incr at]]
+		incr at
+	    }
+	    -* {
+		Log $child "Safe base rejecting glob option '$opt'"
+		return -code error "Safe base rejecting glob option '$opt'"
+	    }
+	    default {
+		break
+	    }
+	}
+	if {$got(--)} break
+    }
+
+    # Get the real path from the virtual one and check that the path is in the
+    # access path of that child. Done after basic argument processing so that
+    # we know if -nocomplain is set.
+    if {$got(-directory)} {
+	try {
+	    set dir [TranslatePath $child $virtualdir]
+	    DirInAccessPath $child $dir
+	} on error msg {
+	    Log $child $msg
+	    if {$got(-nocomplain)} return
+	    return -code error "permission denied"
+	}
+	if {$got(--)} {
+	    set cmd [linsert $cmd end-1 -directory $dir]
+	} else {
+	    lappend cmd -directory $dir
+	}
+    } else {
+	# The code after this "if ... else" block would conspire to return with
+	# no results in this case, if it were allowed to proceed.  Instead,
+	# return now and reduce the number of cases to be considered later.
+	Log $child {option -directory must be supplied}
+	if {$got(-nocomplain)} return
+	return -code error "permission denied"
+    }
+
+    # Apply the -join semantics ourselves.
+    if {$got(-join)} {
+	set args [lreplace $args $at end [join [lrange $args $at end] "/"]]
+    }
+
+    # Process the pattern arguments.  If we've done a join there is only one
+    # pattern argument.
+
+    set firstPattern [llength $cmd]
+    foreach opt [lrange $args $at end] {
+	if {![regexp $dirPartRE $opt -> thedir thefile]} {
+	    set thedir .
+	    # The *.tm search comes here.
+	}
+	# "Special" treatment for (joined) argument {*/pkgIndex.tcl}.
+	# Do the expansion of "*" here, and filter out any directories that are
+	# not in the access path.  The outcome is to lappend to cmd a path of
+	# the form $virtualdir/subdir/pkgIndex.tcl for each subdirectory subdir,
+	# after removing any subdir that are not in the access path.
+	if {($thedir eq "*") && ($thefile eq "pkgIndex.tcl")} {
+	    set mapped 0
+	    foreach d [glob -directory [TranslatePath $child $virtualdir] \
+			   -types d -tails *] {
+		catch {
+		    DirInAccessPath $child \
+			[TranslatePath $child [file join $virtualdir $d]]
+		    lappend cmd [file join $d $thefile]
+		    set mapped 1
+		}
+	    }
+	    if {$mapped} continue
+	    # Don't [continue] if */pkgIndex.tcl has no matches in the access
+	    # path.  The pattern will now receive the same treatment as a
+	    # "non-special" pattern (and will fail because it includes a "*" in
+	    # the directory name).
+	}
+	# Any directory pattern that is not an exact (i.e. non-glob) match to a
+	# directory in the access path will be rejected here.
+	# - Rejections include any directory pattern that has glob matching
+	#   patterns "*", "?", backslashes, braces or square brackets, (UNLESS
+	#   it corresponds to a genuine directory name AND that directory is in
+	#   the access path).
+	# - The only "special matching characters" that remain in patterns for
+	#   processing by glob are in the filename tail.
+	# - [file join $anything ~${foo}] is ~${foo}, which is not an exact
+	#   match to any directory in the access path.  Hence directory patterns
+	#   that begin with "~" are rejected here.  Tests safe-16.[5-8] check
+	#   that "file join" remains as required and does not expand ~${foo}.
+	# - Bug [3529949] relates to unwanted expansion of ~${foo} and this is
+	#   how the present code avoids the bug.  All tests safe-16.* relate.
+	try {
+	    DirInAccessPath $child [TranslatePath $child \
+		    [file join $virtualdir $thedir]]
+	} on error msg {
+	    Log $child $msg
+	    if {$got(-nocomplain)} continue
+	    return -code error "permission denied"
+	}
+	lappend cmd $opt
+    }
+
+    Log $child "GLOB = $cmd" NOTICE
+
+    if {$got(-nocomplain) && [llength $cmd] eq $firstPattern} {
+	return
+    }
+    try {
+	# >>>>>>>>>> HERE'S THE CALL TO SAFE INTERP GLOB <<<<<<<<<<
+	# - Pattern arguments added to cmd have NOT been translated from tokens.
+	#   Only the virtualdir is translated (to dir).
+	# - In the pkgIndex.tcl case, there is no "*" in the pattern arguments,
+	#   which are a list of names each with tail pkgIndex.tcl.  The purpose
+	#   of the call to glob is to remove the names for which the file does
+	#   not exist.
+	set entries [::interp invokehidden $child glob {*}$cmd]
+    } on error msg {
+	# This is the only place that a call with -nocomplain and no invalid
+	# "dash-options" can return an error.
+	Log $child $msg
+	return -code error "script error"
+    }
+
+    Log $child "GLOB < $entries" NOTICE
+
+    # Translate path back to what the child should see.
+    set res {}
+    set l [string length $dir]
+    foreach p $entries {
+	if {[string equal -length $l $dir $p]} {
+	    set p [string replace $p 0 [expr {$l-1}] $virtualdir]
+	}
+	lappend res $p
+    }
+
+    Log $child "GLOB > $res" NOTICE
+    return $res
+}
+
+# AliasSource is the target of the "source" alias in safe interpreters.
+
+proc ::safe::AliasSource {child args} {
+    set argc [llength $args]
+    # Extended for handling of Tcl Modules to allow not only "source
+    # filename", but "source -encoding E filename" as well.
+    if {[lindex $args 0] eq "-encoding"} {
+	incr argc -2
+	set encoding [lindex $args 1]
+	set at 2
+	if {$encoding eq "identity"} {
+	    Log $child "attempt to use the identity encoding"
+	    return -code error "permission denied"
+	}
+    } else {
+	set at 0
+	set encoding {}
+    }
+    if {$argc != 1} {
+	set msg "wrong # args: should be \"source ?-encoding E? fileName\""
+	Log $child "$msg ($args)"
+	return -code error $msg
+    }
+    set file [lindex $args $at]
+
+    # get the real path from the virtual one.
+    if {[catch {
+	set realfile [TranslatePath $child $file]
+    } msg]} {
+	Log $child $msg
+	return -code error "permission denied"
+    }
+
+    # check that the path is in the access path of that child
+    if {[catch {
+	FileInAccessPath $child $realfile
+    } msg]} {
+	Log $child $msg
+	return -code error "permission denied"
+    }
+
+    # Check that the filename exists and is readable.  If it is not, deliver
+    # this -errorcode so that caller in tclPkgUnknown does not write a message
+    # to tclLog.  Has no effect on other callers of ::source, which are in
+    # "package ifneeded" scripts.
+    if {[catch {
+	CheckFileName $child $realfile
+    } msg]} {
+	Log $child "$realfile:$msg"
+	return -code error -errorcode {POSIX EACCES} $msg
+    }
+
+    # Passed all the tests, lets source it. Note that we do this all manually
+    # because we want to control [info script] in the child so information
+    # doesn't leak so much. [Bug 2913625]
+    set old [::interp eval $child {info script}]
+    set replacementMsg "script error"
+    set code [catch {
+	set f [open $realfile]
+	fconfigure $f -eofchar "\x1A {}"
+	if {$encoding ne ""} {
+	    fconfigure $f -encoding $encoding
+	}
+	set contents [read $f]
+	close $f
+	::interp eval $child [list info script $file]
+    } msg opt]
+    if {$code == 0} {
+	set code [catch {::interp eval $child $contents} msg opt]
+	set replacementMsg $msg
+    }
+    catch {interp eval $child [list info script $old]}
+    # Note that all non-errors are fine result codes from [source], so we must
+    # take a little care to do it properly. [Bug 2923613]
+    if {$code == 1} {
+	Log $child $msg
+	return -code error $replacementMsg
+    }
+    return -code $code -options $opt $msg
+}
+
+# AliasLoad is the target of the "load" alias in safe interpreters.
+
+proc ::safe::AliasLoad {child file args} {
+    set argc [llength $args]
+    if {$argc > 2} {
+	set msg "load error: too many arguments"
+	Log $child "$msg ($argc) {$file $args}"
+	return -code error $msg
+    }
+
+    # package name (can be empty if file is not).
+    set package [lindex $args 0]
+
+    namespace upvar ::safe [VarName $child] state
+
+    # Determine where to load. load use a relative interp path and {}
+    # means self, so we can directly and safely use passed arg.
+    set target [lindex $args 1]
+    if {$target ne ""} {
+	# we will try to load into a sub sub interp; check that we want to
+	# authorize that.
+	if {!$state(nestedok)} {
+	    Log $child "loading to a sub interp (nestedok)\
+			disabled (trying to load $package to $target)"
+	    return -code error "permission denied (nested load)"
+	}
+    }
+
+    # Determine what kind of load is requested
+    if {$file eq ""} {
+	# static package loading
+	if {$package eq ""} {
+	    set msg "load error: empty filename and no package name"
+	    Log $child $msg
+	    return -code error $msg
+	}
+	if {!$state(staticsok)} {
+	    Log $child "static packages loading disabled\
+			(trying to load $package to $target)"
+	    return -code error "permission denied (static package)"
+	}
+    } else {
+	# file loading
+
+	# get the real path from the virtual one.
+	try {
+	    set file [TranslatePath $child $file]
+	} on error msg {
+	    Log $child $msg
+	    return -code error "permission denied"
+	}
+
+	# check the translated path
+	try {
+	    FileInAccessPath $child $file
+	} on error msg {
+	    Log $child $msg
+	    return -code error "permission denied (path)"
+	}
+    }
+
+    try {
+	return [::interp invokehidden $child load $file $package $target]
+    } on error msg {
+	# Some packages return no error message.
+	set msg0 "load of binary library for package $package failed"
+	if {$msg eq {}} {
+	    set msg $msg0
+	} else {
+	    set msg "$msg0: $msg"
+	}
+	Log $child $msg
+	return -code error $msg
+    }
+}
+
+# FileInAccessPath raises an error if the file is not found in the list of
+# directories contained in the (parent side recorded) child's access path.
+
+# the security here relies on "file dirname" answering the proper
+# result... needs checking ?
+proc ::safe::FileInAccessPath {child file} {
+    namespace upvar ::safe [VarName $child] state
+    set access_path $state(access_path)
+
+    if {[file isdirectory $file]} {
+	return -code error "\"$file\": is a directory"
+    }
+    set parent [file dirname $file]
+
+    # Normalize paths for comparison since lsearch knows nothing of
+    # potential pathname anomalies.
+    set norm_parent [file normalize $parent]
+
+    namespace upvar ::safe [VarName $child] state
+    if {$norm_parent ni $state(access_path,norm)} {
+	return -code error "\"$file\": not in access_path"
+    }
+}
+
+proc ::safe::DirInAccessPath {child dir} {
+    namespace upvar ::safe [VarName $child] state
+    set access_path $state(access_path)
+
+    if {[file isfile $dir]} {
+	return -code error "\"$dir\": is a file"
+    }
+
+    # Normalize paths for comparison since lsearch knows nothing of
+    # potential pathname anomalies.
+    set norm_dir [file normalize $dir]
+
+    namespace upvar ::safe [VarName $child] state
+    if {$norm_dir ni $state(access_path,norm)} {
+	return -code error "\"$dir\": not in access_path"
+    }
+}
+
+# This procedure is used to report an attempt to use an unsafe member of an
+# ensemble command.
+
+proc ::safe::BadSubcommand {child command subcommand args} {
+    set msg "not allowed to invoke subcommand $subcommand of $command"
+    Log $child $msg
+    return -code error -errorcode {TCL SAFE SUBCOMMAND} $msg
+}
+
+# AliasEncoding is the target of the "encoding" alias in safe interpreters.
+
+proc ::safe::AliasEncoding {child option args} {
+    # Note that [encoding dirs] is not supported in safe children at all
+    set subcommands {convertfrom convertto names system}
+    try {
+	set option [tcl::prefix match -error [list -level 1 -errorcode \
+		[list TCL LOOKUP INDEX option $option]] $subcommands $option]
+	# Special case: [encoding system] ok, but [encoding system foo] not
+	if {$option eq "system" && [llength $args]} {
+	    return -code error -errorcode {TCL WRONGARGS} \
+		"wrong # args: should be \"encoding system\""
+	}
+    } on error {msg options} {
+	Log $child $msg
+	return -options $options $msg
+    }
+    tailcall ::interp invokehidden $child encoding $option {*}$args
+}
+
+# Various minor hiding of platform features. [Bug 2913625]
+
+proc ::safe::AliasExeName {child} {
+    return ""
+}
+
+# ------------------------------------------------------------------------------
+# Using Interpreter Names with Namespace Qualifiers
+# ------------------------------------------------------------------------------
+# (1) We wish to preserve compatibility with existing code, in which Safe Base
+#     interpreter names have no namespace qualifiers.
+# (2) safe::interpCreate and the rest of the Safe Base previously could not
+#     accept namespace qualifiers in an interpreter name.
+# (3) The interp command will accept namespace qualifiers in an interpreter
+#     name, but accepts distinct interpreters that will have the same command
+#     name (e.g. foo, ::foo, and :::foo) (bug 66c2e8c974).
+# (4) To satisfy these constraints, Safe Base interpreter names will be fully
+#     qualified namespace names with no excess colons and with the leading "::"
+#     omitted.
+# (5) Trailing "::" implies a namespace tail {}, which interp reads as {{}}.
+#     Reject such names.
+# (6) We could:
+#     (a) EITHER reject usable but non-compliant names (e.g. excess colons) in
+#         interpCreate, interpInit;
+#     (b) OR accept such names and then translate to a compliant name in every
+#         command.
+#     The problem with (b) is that the user will expect to use the name with the
+#     interp command and will find that it is not recognised.
+#     E.g "interpCreate ::foo" creates interpreter "foo", and the user's name
+#     "::foo" works with all the Safe Base commands, but "interp eval ::foo"
+#     fails.
+#     So we choose (a).
+# (7) The command
+#         namespace upvar ::safe S$child state
+#     becomes
+#         namespace upvar ::safe [VarName $child] state
+# ------------------------------------------------------------------------------
+
+proc ::safe::RejectExcessColons {child} {
+    set stripped [regsub -all -- {:::*} $child ::]
+    if {[string range $stripped end-1 end] eq {::}} {
+        return -code error {interpreter name must not end in "::"}
+    }
+    if {$stripped ne $child} {
+        set msg {interpreter name has excess colons in namespace separators}
+        return -code error $msg
+    }
+    if {[string range $stripped 0 1] eq {::}} {
+        return -code error {interpreter name must not begin "::"}
+    }
+    return
+}
+
+proc ::safe::VarName {child} {
+    # return S$child
+    return S[string map {:: @N @ @A} $child]
+}
+
+proc ::safe::Setup {} {
+    ####
+    #
+    # Setup the arguments parsing
+    #
+    ####
+
+    # Share the descriptions
+    set temp [::tcl::OptKeyRegister {
+	{-accessPath -list {} "access path for the slave"}
+	{-noStatics "prevent loading of statically linked pkgs"}
+	{-statics true "loading of statically linked pkgs"}
+	{-nestedLoadOk "allow nested loading"}
+	{-nested false "nested loading"}
+	{-deleteHook -script {} "delete hook"}
+    }]
+
+    # create case (slave is optional)
+    ::tcl::OptKeyRegister {
+	{?slave? -name {} "name of the slave (optional)"}
+    } ::safe::interpCreate
+
+    # adding the flags sub programs to the command program (relying on Opt's
+    # internal implementation details)
+    lappend ::tcl::OptDesc(::safe::interpCreate) $::tcl::OptDesc($temp)
+
+    # init and configure (slave is needed)
+    ::tcl::OptKeyRegister {
+	{slave -name {} "name of the slave"}
+    } ::safe::interpIC
+
+    # adding the flags sub programs to the command program (relying on Opt's
+    # internal implementation details)
+    lappend ::tcl::OptDesc(::safe::interpIC) $::tcl::OptDesc($temp)
+
+    # temp not needed anymore
+    ::tcl::OptKeyDelete $temp
+
+    ####
+    #
+    # Default: No logging.
+    #
+    ####
+
+    setLogCmd {}
+
+    # Log eventually.
+    # To enable error logging, set Log to {puts stderr} for instance,
+    # via setLogCmd.
+    return
+}
+
+namespace eval ::safe {
+    # internal variables
+
+    # Log command, set via 'setLogCmd'. Logging is disabled when empty.
+    variable Log {}
+
+    # The package maintains a state array per child interp under its
+    # control. The name of this array is S<interp-name>. This array is
+    # brought into scope where needed, using 'namespace upvar'. The S
+    # prefix is used to avoid that a child interp called "Log" smashes
+    # the "Log" variable.
+    #
+    # The array's elements are:
+    #
+    # access_path       : List of paths accessible to the child.
+    # access_path,norm  : Ditto, in normalized form.
+    # access_path,slave : Ditto, as the path tokens as seen by the child.
+    # access_path,map   : dict ( token -> path )
+    # access_path,remap : dict ( path -> token )
+    # tm_path_slave     : List of TM root directories, as tokens seen by the child.
+    # staticsok         : Value of option -statics
+    # nestedok          : Value of option -nested
+    # cleanupHook       : Value of option -deleteHook
+}
+
+::safe::Setup

mplug_owl2/lib/tcl8.6/tclIndex

@@ -0,0 +1,79 @@
+# Tcl autoload index file, version 2.0
+# -*- tcl -*-
+# This file is generated by the "auto_mkindex" command
+# and sourced to set up indexing information for one or
+# more commands.  Typically each line is a command that
+# sets an element in the auto_index array, where the
+# element name is the name of a command and the value is
+# a script that loads the command.
+
+set auto_index(auto_reset) [list source [file join $dir auto.tcl]]
+set auto_index(tcl_findLibrary) [list source [file join $dir auto.tcl]]
+set auto_index(auto_mkindex) [list source [file join $dir auto.tcl]]
+set auto_index(auto_mkindex_old) [list source [file join $dir auto.tcl]]
+set auto_index(::auto_mkindex_parser::init) [list source [file join $dir auto.tcl]]
+set auto_index(::auto_mkindex_parser::cleanup) [list source [file join $dir auto.tcl]]
+set auto_index(::auto_mkindex_parser::mkindex) [list source [file join $dir auto.tcl]]
+set auto_index(::auto_mkindex_parser::hook) [list source [file join $dir auto.tcl]]
+set auto_index(::auto_mkindex_parser::slavehook) [list source [file join $dir auto.tcl]]
+set auto_index(::auto_mkindex_parser::command) [list source [file join $dir auto.tcl]]
+set auto_index(::auto_mkindex_parser::commandInit) [list source [file join $dir auto.tcl]]
+set auto_index(::auto_mkindex_parser::fullname) [list source [file join $dir auto.tcl]]
+set auto_index(history) [list source [file join $dir history.tcl]]
+set auto_index(::tcl::history) [list source [file join $dir history.tcl]]
+set auto_index(::tcl::HistAdd) [list source [file join $dir history.tcl]]
+set auto_index(::tcl::HistKeep) [list source [file join $dir history.tcl]]
+set auto_index(::tcl::HistClear) [list source [file join $dir history.tcl]]
+set auto_index(::tcl::HistInfo) [list source [file join $dir history.tcl]]
+set auto_index(::tcl::HistRedo) [list source [file join $dir history.tcl]]
+set auto_index(::tcl::HistIndex) [list source [file join $dir history.tcl]]
+set auto_index(::tcl::HistEvent) [list source [file join $dir history.tcl]]
+set auto_index(::tcl::HistChange) [list source [file join $dir history.tcl]]
+set auto_index(pkg_mkIndex) [list source [file join $dir package.tcl]]
+set auto_index(tclPkgSetup) [list source [file join $dir package.tcl]]
+set auto_index(tclPkgUnknown) [list source [file join $dir package.tcl]]
+set auto_index(::tcl::MacOSXPkgUnknown) [list source [file join $dir package.tcl]]
+set auto_index(::pkg::create) [list source [file join $dir package.tcl]]
+set auto_index(parray) [list source [file join $dir parray.tcl]]
+set auto_index(::safe::InterpStatics) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::InterpNested) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::interpCreate) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::interpInit) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::CheckInterp) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::interpConfigure) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::InterpCreate) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::InterpSetConfig) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::interpFindInAccessPath) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::interpAddToAccessPath) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::InterpInit) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::AddSubDirs) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::interpDelete) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::setLogCmd) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::SyncAccessPath) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::PathToken) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::TranslatePath) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::Log) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::CheckFileName) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::AliasGlob) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::AliasSource) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::AliasLoad) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::FileInAccessPath) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::DirInAccessPath) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::Subset) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::AliasSubset) [list source [file join $dir safe.tcl]]
+set auto_index(::safe::AliasEncoding) [list source [file join $dir safe.tcl]]
+set auto_index(tcl_wordBreakAfter) [list source [file join $dir word.tcl]]
+set auto_index(tcl_wordBreakBefore) [list source [file join $dir word.tcl]]
+set auto_index(tcl_endOfWord) [list source [file join $dir word.tcl]]
+set auto_index(tcl_startOfNextWord) [list source [file join $dir word.tcl]]
+set auto_index(tcl_startOfPreviousWord) [list source [file join $dir word.tcl]]
+set auto_index(::tcl::tm::add) [list source [file join $dir tm.tcl]]
+set auto_index(::tcl::tm::remove) [list source [file join $dir tm.tcl]]
+set auto_index(::tcl::tm::list) [list source [file join $dir tm.tcl]]
+set auto_index(::tcl::tm::Defaults) [list source [file join $dir tm.tcl]]
+set auto_index(::tcl::tm::UnknownHandler) [list source [file join $dir tm.tcl]]
+set auto_index(::tcl::tm::roots) [list source [file join $dir tm.tcl]]
+set auto_index(::tcl::tm::path) [list source [file join $dir tm.tcl]]
+if {[namespace exists ::tcl::unsupported]} {
+    set auto_index(timerate) {namespace import ::tcl::unsupported::timerate}
+}

mplug_owl2/lib/tcl8.6/word.tcl

@@ -0,0 +1,154 @@
+# word.tcl --
+#
+# This file defines various procedures for computing word boundaries in
+# strings. This file is primarily needed so Tk text and entry widgets behave
+# properly for different platforms.
+#
+# Copyright (c) 1996 Sun Microsystems, Inc.
+# Copyright (c) 1998 Scriptics Corporation.
+#
+# See the file "license.terms" for information on usage and redistribution
+# of this file, and for a DISCLAIMER OF ALL WARRANTIES.
+
+# The following variables are used to determine which characters are
+# interpreted as white space.
+
+if {$::tcl_platform(platform) eq "windows"} {
+    # Windows style - any but a Unicode space char
+    if {![info exists ::tcl_wordchars]} {
+	set ::tcl_wordchars {\S}
+    }
+    if {![info exists ::tcl_nonwordchars]} {
+	set ::tcl_nonwordchars {\s}
+    }
+} else {
+    # Motif style - any Unicode word char (number, letter, or underscore)
+    if {![info exists ::tcl_wordchars]} {
+	set ::tcl_wordchars {\w}
+    }
+    if {![info exists ::tcl_nonwordchars]} {
+	set ::tcl_nonwordchars {\W}
+    }
+}
+
+# Arrange for caches of the real matcher REs to be kept, which enables the REs
+# themselves to be cached for greater performance (and somewhat greater
+# clarity too).
+
+namespace eval ::tcl {
+    variable WordBreakRE
+    array set WordBreakRE {}
+
+    proc UpdateWordBreakREs args {
+	# Ignores the arguments
+	global tcl_wordchars tcl_nonwordchars
+	variable WordBreakRE
+
+	# To keep the RE strings short...
+	set letter $tcl_wordchars
+	set space $tcl_nonwordchars
+
+	set WordBreakRE(after)		"$letter$space|$space$letter"
+	set WordBreakRE(before)		"^.*($letter$space|$space$letter)"
+	set WordBreakRE(end)		"$space*$letter+$space"
+	set WordBreakRE(next)		"$letter*$space+$letter"
+	set WordBreakRE(previous)	"$space*($letter+)$space*\$"
+    }
+
+    # Initialize the cache
+    UpdateWordBreakREs
+    trace add variable ::tcl_wordchars write ::tcl::UpdateWordBreakREs
+    trace add variable ::tcl_nonwordchars write ::tcl::UpdateWordBreakREs
+}
+
+# tcl_wordBreakAfter --
+#
+# This procedure returns the index of the first word boundary after the
+# starting point in the given string, or -1 if there are no more boundaries in
+# the given string. The index returned refers to the first character of the
+# pair that comprises a boundary.
+#
+# Arguments:
+# str -		String to search.
+# start -	Index into string specifying starting point.
+
+proc tcl_wordBreakAfter {str start} {
+    variable ::tcl::WordBreakRE
+    set result {-1 -1}
+    regexp -indices -start $start -- $WordBreakRE(after) $str result
+    return [lindex $result 1]
+}
+
+# tcl_wordBreakBefore --
+#
+# This procedure returns the index of the first word boundary before the
+# starting point in the given string, or -1 if there are no more boundaries in
+# the given string. The index returned refers to the second character of the
+# pair that comprises a boundary.
+#
+# Arguments:
+# str -		String to search.
+# start -	Index into string specifying starting point.
+
+proc tcl_wordBreakBefore {str start} {
+    variable ::tcl::WordBreakRE
+    set result {-1 -1}
+    regexp -indices -- $WordBreakRE(before) [string range $str 0 $start] result
+    return [lindex $result 1]
+}
+
+# tcl_endOfWord --
+#
+# This procedure returns the index of the first end-of-word location after a
+# starting index in the given string. An end-of-word location is defined to be
+# the first whitespace character following the first non-whitespace character
+# after the starting point. Returns -1 if there are no more words after the
+# starting point.
+#
+# Arguments:
+# str -		String to search.
+# start -	Index into string specifying starting point.
+
+proc tcl_endOfWord {str start} {
+    variable ::tcl::WordBreakRE
+    set result {-1 -1}
+    regexp -indices -start $start -- $WordBreakRE(end) $str result
+    return [lindex $result 1]
+}
+
+# tcl_startOfNextWord --
+#
+# This procedure returns the index of the first start-of-word location after a
+# starting index in the given string. A start-of-word location is defined to
+# be a non-whitespace character following a whitespace character. Returns -1
+# if there are no more start-of-word locations after the starting point.
+#
+# Arguments:
+# str -		String to search.
+# start -	Index into string specifying starting point.
+
+proc tcl_startOfNextWord {str start} {
+    variable ::tcl::WordBreakRE
+    set result {-1 -1}
+    regexp -indices -start $start -- $WordBreakRE(next) $str result
+    return [lindex $result 1]
+}
+
+# tcl_startOfPreviousWord --
+#
+# This procedure returns the index of the first start-of-word location before
+# a starting index in the given string.
+#
+# Arguments:
+# str -		String to search.
+# start -	Index into string specifying starting point.
+
+proc tcl_startOfPreviousWord {str start} {
+    variable ::tcl::WordBreakRE
+    set word {-1 -1}
+    if {$start > 0} {
+	regexp -indices -- $WordBreakRE(previous) [string range [string range $str 0 $start] 0 end-1] \
+		result word
+    }
+    return [lindex $word 0]
+}

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/ATenCUDAGeneral.h

@@ -0,0 +1,9 @@
+#pragma once
+
+#include <cuda.h>
+#include <cuda_runtime.h>
+#include <cuda_fp16.h>
+
+#include <c10/macros/Export.h>
+
+// Use TORCH_CUDA_CPP_API or TORCH_CUDA_CU_API for exports from this folder

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/ApplyGridUtils.cuh

@@ -0,0 +1,47 @@
+#include <ATen/cuda/CUDAContext.h>
+
+#include <cuda_runtime.h>
+
+namespace at::cuda {
+
+/**
+   Computes ceil(a / b)
+*/
+template <typename T>
+__host__ __device__ __forceinline__ T ATenCeilDiv(T a, T b) {
+  return (a + b - 1) / b;
+}
+
+namespace {
+
+// Threads per block for our apply kernel
+// FIXME: use occupancy calculator instead
+constexpr uint32_t AT_APPLY_THREADS_PER_BLOCK = 512;
+constexpr uint32_t AT_APPLY_BLOCKS_PER_SM = 4;
+
+template <int step = 1>
+inline bool getApplyGrid(uint64_t totalElements, dim3& grid, c10::DeviceIndex curDevice, int max_threads_per_block=AT_APPLY_THREADS_PER_BLOCK) {
+  if (curDevice == -1) return false;
+  uint64_t numel_per_thread = static_cast<uint64_t>(max_threads_per_block) * static_cast<uint64_t>(step);
+  uint64_t numBlocks = ATenCeilDiv(totalElements, numel_per_thread);
+  uint64_t maxGridX = at::cuda::getDeviceProperties(curDevice)->maxGridSize[0];
+  if (numBlocks > maxGridX)
+    numBlocks = maxGridX;
+  grid = dim3(numBlocks);
+  return true;
+}
+
+constexpr int getApplyBlocksPerSM() {
+  return AT_APPLY_BLOCKS_PER_SM;
+}
+
+constexpr int getApplyBlockSize() {
+  return AT_APPLY_THREADS_PER_BLOCK;
+}
+
+inline dim3 getApplyBlock(int max_threads_per_block=AT_APPLY_THREADS_PER_BLOCK) {
+  return dim3(max_threads_per_block);
+}
+
+} // anonymous namespace
+} // namespace at::cuda

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/Atomic.cuh

@@ -0,0 +1,514 @@
+#pragma once
+
+#include <cuda.h>
+#include <c10/util/Half.h>
+#include <c10/util/BFloat16.h>
+
+#include <ATen/NumericUtils.h>
+
+#if !(defined(USE_ROCM) || ((defined(__CUDA_ARCH__) && (__CUDA_ARCH__ < 800))))
+#include <cuda_bf16.h>
+#endif
+
+template <typename T>
+struct AtomicFPOp;
+
+template <>
+struct AtomicFPOp<at::Half> {
+  template <typename func_t>
+  inline __device__ at::Half operator() (at::Half *address, at::Half val, const func_t& func) {
+    unsigned int * address_as_ui =
+      (unsigned int *) ((char *)address - ((size_t)address & 2));
+    unsigned int old = *address_as_ui;
+    unsigned int assumed;
+
+    at::Half hsum;
+    do {
+      assumed = old;
+      hsum.x = (size_t)address & 2 ? (old >> 16) : (old & 0xffff);
+      hsum = func(hsum, val);
+      old = (size_t)address & 2 ? (old & 0xffff) | (hsum.x << 16) : (old & 0xffff0000) | hsum.x;
+      old = atomicCAS(address_as_ui, assumed, old);
+    } while (assumed != old);
+    hsum.x = (size_t)address & 2 ? (old >> 16) : (old & 0xffff);
+    return hsum;
+  }
+};
+
+template <>
+struct AtomicFPOp<at::BFloat16> {
+  template <typename func_t>
+  inline __device__ at::BFloat16 operator() (at::BFloat16 *address, at::BFloat16 val, const func_t& func) {
+    unsigned int * address_as_ui =
+      (unsigned int *) ((char *)address - ((size_t)address & 2));
+    unsigned int old = *address_as_ui;
+    unsigned int assumed;
+
+    at::BFloat16 bsum;
+    do {
+      assumed = old;
+      bsum.x = (size_t)address & 2 ? (old >> 16) : (old & 0xffff);
+      bsum = func(bsum, val);
+      old = (size_t)address & 2 ? (old & 0xffff) | (bsum.x << 16) : (old & 0xffff0000) | bsum.x;
+      old = atomicCAS(address_as_ui, assumed, old);
+    } while (assumed != old);
+    bsum.x = (size_t)address & 2 ? (old >> 16) : (old & 0xffff);
+    return bsum.x;
+  }
+};
+
+template <>
+struct AtomicFPOp<double> {
+  template <typename func_t>
+  inline __device__ double operator() (double * address, double val, const func_t& func) {
+    unsigned long long int* address_as_ull = (unsigned long long int*)address;
+    unsigned long long int old = *address_as_ull;
+    unsigned long long int assumed;
+
+    do {
+      assumed = old;
+      old = atomicCAS(address_as_ull, assumed, func(val, assumed));
+      // Note: uses integer comparison to avoid hang in case of NaN (since NaN != NaN)
+    } while (assumed != old);
+
+    return __longlong_as_double(old);
+  }
+};
+
+#define ATOMIC_INTEGER_IMPL(NAME)                                                                                      \
+template <typename T, size_t n>                                                                                        \
+struct Atomic##NAME##IntegerImpl;                                                                                      \
+                                                                                                                       \
+template<typename T>                                                                                                   \
+struct Atomic##NAME##IntegerImpl<T, 1> {                                                                               \
+  template <typename func_t>                                                                                           \
+  inline __device__ void operator()(T *address, T val, const func_t& func) {                                           \
+    size_t offset = (size_t)address & 3;                                                                               \
+    uint32_t * address_as_ui = (uint32_t *)((char *)address - offset);                                                 \
+    uint32_t old = *address_as_ui;                                                                                     \
+    uint32_t shift = offset * 8;                                                                                       \
+    uint32_t old_byte;                                                                                                 \
+    uint32_t newval;                                                                                                   \
+    uint32_t assumed;                                                                                                  \
+                                                                                                                       \
+    do {                                                                                                               \
+      assumed = old;                                                                                                   \
+      old_byte = (old >> shift) & 0xff;                                                                                \
+      newval = static_cast<uint8_t>(func(val, static_cast<T>(old_byte)));                                              \
+      newval = (old & ~(0x000000ff << shift)) | (newval << shift);                                                     \
+      old = atomicCAS(address_as_ui, assumed, newval);                                                                 \
+    } while (assumed != old);                                                                                          \
+  }                                                                                                                    \
+};                                                                                                                     \
+                                                                                                                       \
+template<typename T>                                                                                                   \
+struct Atomic##NAME##IntegerImpl<T, 2> {                                                                               \
+  template <typename func_t>                                                                                           \
+  inline __device__ void operator()(T *address, T val, const func_t& func) {                                           \
+    size_t offset = (size_t)address & 2;                                                                               \
+    uint32_t * address_as_ui = (uint32_t *)((char *)address - offset);                                                 \
+    bool is_32_align = offset;                                                                                         \
+    uint32_t old = *address_as_ui;                                                                                     \
+    uint32_t old_bytes;                                                                                                \
+    uint32_t newval;                                                                                                   \
+    uint32_t assumed;                                                                                                  \
+                                                                                                                       \
+    do {                                                                                                               \
+      assumed = old;                                                                                                   \
+      old_bytes = is_32_align ? old >> 16 : old & 0xffff;                                                              \
+      newval = static_cast<uint16_t>(func(val, static_cast<T>(old_bytes)));                                            \
+      newval = is_32_align ? (old & 0xffff) | (newval << 16) : (old & 0xffff0000) | newval;                            \
+      old = atomicCAS(address_as_ui, assumed, newval);                                                                 \
+    } while (assumed != old);                                                                                          \
+  }                                                                                                                    \
+};                                                                                                                     \
+                                                                                                                       \
+template<typename T>                                                                                                   \
+struct Atomic##NAME##IntegerImpl<T, 4> {                                                                               \
+  template <typename func_t>                                                                                           \
+  inline __device__ void operator()(T *address, T val, const func_t& func) {                                           \
+    uint32_t * address_as_ui = (uint32_t *) (address);                                                                 \
+    uint32_t old = *address_as_ui;                                                                                     \
+    uint32_t newval;                                                                                                   \
+    uint32_t assumed;                                                                                                  \
+                                                                                                                       \
+    do {                                                                                                               \
+      assumed = old;                                                                                                   \
+      newval = static_cast<uint32_t>(func(val, static_cast<T>(old)));                                                  \
+      old = atomicCAS(address_as_ui, assumed, newval);                                                                 \
+    } while (assumed != old);                                                                                          \
+  }                                                                                                                    \
+};                                                                                                                     \
+                                                                                                                       \
+template<typename T>                                                                                                   \
+struct Atomic##NAME##IntegerImpl<T, 8> {                                                                               \
+  template <typename func_t>                                                                                           \
+  inline __device__ void operator()(T *address, T val, const func_t& func) {                                           \
+    unsigned long long * address_as_ui = (unsigned long long *) (address);                                             \
+    unsigned long long old = *address_as_ui;                                                                           \
+    unsigned long long newval;                                                                                         \
+    unsigned long long assumed;                                                                                        \
+                                                                                                                       \
+    do {                                                                                                               \
+      assumed = old;                                                                                                   \
+      newval = static_cast<uint64_t>(func(val, static_cast<T>(old)));                                                  \
+      old = atomicCAS(address_as_ui, assumed, newval);                                                                 \
+    } while (assumed != old);                                                                                          \
+  }                                                                                                                    \
+};
+
+
+# define GPU_ATOMIC_INTEGER(NAME, OP, DTYPE)                                                                           \
+inline __device__ void gpuAtomic##NAME(DTYPE *address, DTYPE val) {                                             \
+Atomic##NAME##IntegerImpl<DTYPE, sizeof(DTYPE)>()(address,                                                             \
+                                                      val,                                                             \
+                                                      [](DTYPE a, DTYPE b) {                                           \
+                                                          return OP;                                                   \
+                                                      });                                                              \
+}                                                                                                                      \
+
+ATOMIC_INTEGER_IMPL(Add)
+GPU_ATOMIC_INTEGER(Add, a || b, bool)
+
+// Don't instantiate gpuAtomicAdd with the macro as it seems non-standard (see int32, int64)
+inline __device__ void gpuAtomicAdd(uint8_t *address, uint8_t val) {
+  AtomicAddIntegerImpl<uint8_t, sizeof(uint8_t)>()(address,
+                                                   val,
+                                                   [](uint8_t a, uint8_t b) {
+                                                      return a + b;
+                                                   });
+}
+
+inline  __device__ void gpuAtomicAdd(int8_t *address, int8_t val) {
+  AtomicAddIntegerImpl<int8_t, sizeof(int8_t)>()(address,
+                                                 val,
+                                                 [](int8_t a, int8_t b) {
+                                                   return a + b;
+                                                 });
+}
+
+inline  __device__ void gpuAtomicAdd(int16_t *address, int16_t val) {
+  AtomicAddIntegerImpl<int16_t, sizeof(int16_t)>()(address,
+                                                   val,
+                                                   [](int16_t a, int16_t b) {
+                                                     return a + b;
+                                                   });
+}
+
+inline __device__ int32_t gpuAtomicAdd(int32_t *address, int32_t val) {
+  return atomicAdd(address, val);
+}
+
+inline __device__ void gpuAtomicAdd(int64_t *address, int64_t val) {
+#if defined(USE_ROCM)
+  __atomic_fetch_add(address, val, __ATOMIC_RELAXED);
+#else
+  static_assert(sizeof(unsigned long long int) == sizeof(int64_t), "bitwidth change is not allowed");
+  atomicAdd(reinterpret_cast<unsigned long long int *>(address), static_cast<unsigned long long int>(val));
+#endif
+}
+
+inline  __device__ at::Half gpuAtomicAdd(at::Half *address, at::Half val) {
+#if defined(USE_ROCM) || ((defined(__CUDA_ARCH__) && (__CUDA_ARCH__ < 700)))
+  return AtomicFPOp<at::Half>()(address, val,
+                                [](at::Half hsum, at::Half val) {
+                                  return hsum + val;
+                                });
+#else
+  return atomicAdd(reinterpret_cast<__half*>(address), val);
+#endif
+}
+
+inline __device__ at::BFloat16 gpuAtomicAdd(at::BFloat16 *address, at::BFloat16 val) {
+#if defined(USE_ROCM) || ((defined(__CUDA_ARCH__) && (__CUDA_ARCH__ < 800)))
+return AtomicFPOp<at::BFloat16>()(address, val,
+                                  [](at::BFloat16 bsum, at::BFloat16 val) {
+                                    return bsum + val;
+                                  });
+#else
+  __nv_bfloat16 r = atomicAdd(reinterpret_cast<__nv_bfloat16*>(address), *reinterpret_cast<__nv_bfloat16*>(&val));
+  return *reinterpret_cast<c10::BFloat16*>(&r);
+#endif
+}
+
+#if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ < 600)
+// from CUDA C Programmic Guide
+inline __device__ double atomicAdd(double* address, double val)
+#if defined(__clang__) && defined(__CUDA__)
+#pragma GCC diagnostic push
+#pragma GCC diagnostic ignored "-Wgcc-compat"
+    __attribute__((enable_if(true, "")))
+#pragma GCC diagnostic pop
+#endif
+{
+
+  return AtomicFPOp<double>()(address, val,
+                              [](double val, unsigned long long int assumed) {
+                                return __double_as_longlong(val + __longlong_as_double(assumed));
+                              });
+}
+#elif defined(USE_ROCM) || !(defined(__CUDA_ARCH__))
+
+/* Note [hip-clang differences to hcc]
+ * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+ * The upcoming hip-clang compiler for ROCm differs from hcc in a few details.
+ * It exports the __HIP__ macro, we can hence differentiate between hcc and
+ * hip-clang. In the below, hcc only received support for atomicAdd with double
+ * typing after work week 18312. hip-clang had support from the first version.
+ * In general, the code-visible differences between hip-clang and hcc will be
+ * minimal.
+ */
+
+#if defined(USE_ROCM) && __hcc_workweek__ < 18312 && !__HIP__
+  // This needs to be defined for the host side pass
+  inline  __device__  double atomicAdd(double *address, double val) { }
+#endif
+#endif
+
+inline __device__ double gpuAtomicAdd(double *address, double val) {
+  return atomicAdd(address, val);
+}
+
+inline __device__ float gpuAtomicAdd(float *address, float val) {
+  return atomicAdd(address, val);
+}
+
+template<typename T>
+inline __device__ void gpuAtomicAdd(c10::complex<T> *address, c10::complex<T> val) {
+  gpuAtomicAdd(&address->real_, val.real_);
+  gpuAtomicAdd(&address->imag_, val.imag_);
+}
+
+/* Note [gpuAtomicAdd vs atomicAdd]
+ * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+ * Some extensions such as torchvision call atomicAdd()
+ * directly and require non-library provided data type support. Only for these, we
+ * continue to provide atomicAdd overloads.
+ */
+inline __device__ at::Half atomicAdd(at::Half *address, at::Half val) {
+  return gpuAtomicAdd(address, val);
+}
+
+inline __device__ at::BFloat16 atomicAdd(at::BFloat16 *address, at::BFloat16 val) {
+  return gpuAtomicAdd(address, val);
+}
+
+inline __device__ void atomicAdd(uint8_t *address, uint8_t val) {
+  gpuAtomicAdd(address, val);
+}
+
+inline  __device__ void atomicAdd(int8_t *address, int8_t val) {
+  gpuAtomicAdd(address, val);
+}
+
+inline  __device__ void atomicAdd(int16_t *address, int16_t val) {
+  gpuAtomicAdd(address, val);
+}
+
+inline __device__ void atomicAdd(int64_t *address, int64_t val) {
+  gpuAtomicAdd(address, val);
+}
+
+inline __device__ void atomicAdd(bool *address, bool val) {
+  gpuAtomicAdd(address, val);
+}
+
+/* Note [explicitly non-returning atomics]
+ * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+ * AMD's MI100 (gfx908) provides an optimized fp32 atomicAdd, exposed via atomicAddNoRet().
+ * Due to compiler limitations, callers must opt-in to guarantee the optimized instruction.
+ * This non-returning atomicAddNoRet cannot be used to implement the returning atomicAdd,
+ * therefore we need a new API 'gpuAtomicAddNoReturn'.
+ */
+template<typename T>
+inline __device__ void gpuAtomicAddNoReturn(c10::complex<T> *address, c10::complex<T> val) { gpuAtomicAdd(address, val); }
+inline __device__ void gpuAtomicAddNoReturn(uint8_t *address, uint8_t val) { gpuAtomicAdd(address, val); }
+inline __device__ void gpuAtomicAddNoReturn(int8_t *address, int8_t val) { gpuAtomicAdd(address, val); }
+inline __device__ void gpuAtomicAddNoReturn(int16_t *address, int16_t val) { gpuAtomicAdd(address, val); }
+inline __device__ void gpuAtomicAddNoReturn(int32_t *address, int32_t val) { gpuAtomicAdd(address, val); }
+inline __device__ void gpuAtomicAddNoReturn(int64_t *address, int64_t val) { gpuAtomicAdd(address, val); }
+inline __device__ void gpuAtomicAddNoReturn(bool *address, bool val) { gpuAtomicAdd(address, val); }
+inline __device__ void gpuAtomicAddNoReturn(at::Half *address, at::Half val) { gpuAtomicAdd(address, val); }
+inline __device__ void gpuAtomicAddNoReturn(at::BFloat16 *address, at::BFloat16 val) { gpuAtomicAdd(address, val); }
+inline __device__ void gpuAtomicAddNoReturn(double *address, double val) { gpuAtomicAdd(address, val); }
+
+/* Special case fp32 atomic. */
+#if defined(USE_ROCM)
+inline __device__ void gpuAtomicAddNoReturn(float *address, float val) {
+#if defined(__gfx908__)
+  atomicAddNoRet(address, val);
+#else
+  (void)unsafeAtomicAdd(address, val);
+#endif
+}
+#else
+inline __device__ void gpuAtomicAddNoReturn(float *address, float val) { gpuAtomicAdd(address, val); }
+#endif
+
+// Atomic multiplication implementation.
+
+ATOMIC_INTEGER_IMPL(Mul)
+GPU_ATOMIC_INTEGER(Mul, a * b, uint8_t)
+GPU_ATOMIC_INTEGER(Mul, a * b, int8_t)
+GPU_ATOMIC_INTEGER(Mul, a * b, int16_t)
+GPU_ATOMIC_INTEGER(Mul, a * b, int32_t)
+GPU_ATOMIC_INTEGER(Mul, a * b, int64_t)
+
+inline __device__ at::Half gpuAtomicMul(at::Half * address, at::Half val) {
+  return AtomicFPOp<at::Half>()(address, val,
+                                [](at::Half bsum, at::Half val) {
+                                  return bsum * val;
+                                });
+}
+
+inline __device__ at::BFloat16 gpuAtomicMul(at::BFloat16 * address, at::BFloat16 val) {
+  return AtomicFPOp<at::BFloat16>()(address, val,
+                                    [](at::BFloat16 bsum, at::BFloat16 val) {
+                                      return bsum * val;
+                                    });
+}
+
+inline __device__ double gpuAtomicMul(double * address, double val) {
+  return AtomicFPOp<double>()(address, val,
+                              [](double val, unsigned long long int assumed) {
+                                return __double_as_longlong(val * __longlong_as_double(assumed));
+                              });
+}
+
+// Dont use a templated function for this since the addition function defaults to the CUDA built-in.
+inline __device__ float gpuAtomicMul (float * address, float val) {
+  unsigned int* address_as_ull = (unsigned int*)address;
+  unsigned int old = *address_as_ull;
+  unsigned int assumed;
+
+  do {
+    assumed = old;
+    old = atomicCAS(address_as_ull, assumed,
+                    __float_as_int(val *
+                                   __int_as_float(assumed)));
+
+    // Note: uses integer comparison to avoid hang in case of NaN (since NaN != NaN)
+  } while (assumed != old);
+
+  return __int_as_float(old);
+}
+
+// Atomic maximum implementation.
+
+template <typename T>
+__host__ __device__ T safe_max(T a, T b) {
+  #if defined(__HIPCC__)
+  // TODO: remove this special case for HIP when issue is fixed:
+  //       https://github.com/ROCm-Developer-Tools/HIP/issues/2209
+    T max = at::_isnan(a) ? a : (at::_isnan(b) ? b : std::max<T>(a, b));
+  #else
+    T max = at::_isnan(b) ? b : std::max<T>(a, b);
+  #endif
+
+  return max;
+}
+
+ATOMIC_INTEGER_IMPL(Max)
+GPU_ATOMIC_INTEGER(Max, safe_max(a, b), uint8_t)
+GPU_ATOMIC_INTEGER(Max, safe_max(a, b), int8_t)
+GPU_ATOMIC_INTEGER(Max, safe_max(a, b), int16_t)
+GPU_ATOMIC_INTEGER(Max, safe_max(a, b), int32_t)
+GPU_ATOMIC_INTEGER(Max, safe_max(a, b), int64_t)
+
+inline __device__ at::Half gpuAtomicMax(at::Half * address, at::Half val) {
+  return AtomicFPOp<at::Half>()(address, val,
+                                [](at::Half bsum, at::Half val) {
+                                  return safe_max(bsum, val);
+                                });
+}
+
+inline __device__ at::BFloat16 gpuAtomicMax(at::BFloat16 * address, at::BFloat16 val) {
+  return AtomicFPOp<at::BFloat16>()(address, val,
+                                    [](at::BFloat16 bsum, at::BFloat16 val) {
+                                      return safe_max(bsum, val);
+                                    });
+}
+
+inline __device__ double gpuAtomicMax(double * address, double val) {
+  return AtomicFPOp<double>()(address, val,
+                              [](double val, unsigned long long int assumed) {
+                                return __double_as_longlong(safe_max(val, __longlong_as_double(assumed)));
+                              });
+}
+
+// Dont use a templated function for this since the addition function defaults to the CUDA built-in.
+inline __device__ float gpuAtomicMax(float * address, float val) {
+  unsigned int* address_as_ull = (unsigned int*)address;
+  unsigned int old = *address_as_ull;
+  unsigned int assumed;
+
+  do {
+    assumed = old;
+    old = atomicCAS(address_as_ull, assumed,
+                    __float_as_int(safe_max(val, __int_as_float(assumed))));
+
+    // Note: uses integer comparison to avoid hang in case of NaN (since NaN != NaN)
+  } while (assumed != old);
+
+  return __int_as_float(old);
+}
+
+// Atomic minimum implementation.
+
+template <typename T>
+__host__ __device__ T safe_min(T a, T b) {
+  #if defined(__HIPCC__)
+  // TODO: remove this special case for HIP when issue is fixed:
+  //       https://github.com/ROCm-Developer-Tools/HIP/issues/2209
+    T min = at::_isnan(a) ? a : (at::_isnan(b) ? b : std::min<T>(a, b));
+  #else
+    T min = at::_isnan(b) ? b : std::min<T>(a, b);
+  #endif
+
+  return min;
+}
+
+ATOMIC_INTEGER_IMPL(Min)
+GPU_ATOMIC_INTEGER(Min, safe_min(a, b), uint8_t)
+GPU_ATOMIC_INTEGER(Min, safe_min(a, b), int8_t)
+GPU_ATOMIC_INTEGER(Min, safe_min(a, b), int16_t)
+GPU_ATOMIC_INTEGER(Min, safe_min(a, b), int32_t)
+GPU_ATOMIC_INTEGER(Min, safe_min(a, b), int64_t)
+
+inline __device__ at::Half gpuAtomicMin(at::Half * address, at::Half val) {
+  return AtomicFPOp<at::Half>()(address, val,
+                                [](at::Half bsum, at::Half val) {
+                                  return safe_min(bsum, val);
+                                });
+}
+
+inline __device__ at::BFloat16 gpuAtomicMin(at::BFloat16 * address, at::BFloat16 val) {
+  return AtomicFPOp<at::BFloat16>()(address, val,
+                                    [](at::BFloat16 bsum, at::BFloat16 val) {
+                                      return safe_min(bsum, val);
+                                    });
+}
+
+inline __device__ double gpuAtomicMin(double * address, double val) {
+  return AtomicFPOp<double>()(address, val,
+                              [](double val, unsigned long long int assumed) {
+                                return __double_as_longlong(safe_min(val, __longlong_as_double(assumed)));
+                              });
+}
+
+// Dont use a templated function for this since the addition function defaults to the CUDA built-in.
+inline __device__ float gpuAtomicMin(float * address, float val) {
+  unsigned int* address_as_ull = (unsigned int*)address;
+  unsigned int old = *address_as_ull;
+  unsigned int assumed;
+
+  do {
+    assumed = old;
+    old = atomicCAS(address_as_ull, assumed,
+                    __float_as_int(safe_min(val, __int_as_float(assumed))));
+
+    // Note: uses integer comparison to avoid hang in case of NaN (since NaN != NaN)
+  } while (assumed != old);
+
+  return __int_as_float(old);
+}

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDAApplyUtils.cuh

@@ -0,0 +1,537 @@
+#pragma once
+
+#include <ATen/cuda/ApplyGridUtils.cuh>
+#include <ATen/cuda/detail/IndexUtils.cuh>
+#include <ATen/core/TensorBase.h>
+#include <ATen/ceil_div.h>
+#include <ATen/cuda/Atomic.cuh>
+#include <ATen/cuda/CUDAContext.h>
+#include <c10/macros/Macros.h>
+#include <ATen/native/Copy.h>
+
+#include <math.h>
+
+//
+// This file contains pointwise operation functions and kernels that
+// work on both contiguous and non-contiguous tensor arguments of
+// arbitrary (up to MAX_CUTORCH_DIMS) dimensioned arguments without
+// copying or temporary storage.
+//
+
+/*
+  NOTE [ CUDA_tensor_applyN helpers ]
+
+  The following CUDA_tensor_applyN (where N currently can be 1, 2, 3, or 4)
+  functions apply a pointwise operator to N tensor(s).
+
+  The calling convention is
+
+  1. The template arguments should be, sequentially,
+    - First N typename args specify the scalar types of each of the N tensors.
+    - (Optional) `int step` arg specifies the number of elements processed
+      together at the same time.
+      Default is 1.
+    - A usually omitted (i.e., inferred) typename arg specifies the type of the
+      function/functor applied on `N * step` values  in each iteration of each
+      CUDA thread.
+  2. The arguments should be, sequentially,
+    - N tensors
+    - op: a function/functor that processes `N * step` values at the same time.
+      - If `step == 1`, it must have signature
+        `void(*)(scalar1_t&, scalar2_t&, ..., scalarN_t&)`, where
+        `scalar*_t`s are the first N typename template args, and the inputs
+        are the `N` values from the `N` tensors retrieved at a common index.
+      - Otherwise, it must must have signature
+          void(*)(int n, scalar1_t&, scalar1_t&, ..., scalar1_t&,  // repeat `step` times
+                         scalar2_t&, scalar2_t&, ..., scalar2_t&,  // repeat `step` times
+                         ...,
+                         scalarN_t&, scalarN_t&, ..., scalarN_t&)  // repeat `step` times
+        Different from `step == 1` case, it processes `N * step` values taken
+        from `step` common indices. Moreover, the first input `n` represents the
+        number of valid indices (it will always have `0 < n <= step`). It will
+        almost always be `step`, but at the boundary we may not have full `step`
+        elements and `n` can be a lesser value.
+
+        E.g., if `step == 4` and `N == 2`, `op` could be
+
+          [](int n, scalar1_t &u1, scalar1_t &u2, scalar1_t &u3, scalar1_t &u4,
+                    scalar2_t &v1, scalar2_t &v2, scalar2_t &v3, scalar2_t &v4) {
+            // Only process u1, ..., un and v1, ..., vn.
+            // So if `n == 3`, `u4` and `v4` need not to be considered.
+          }
+
+      In both cases, the references can actually be const, but at least one of
+      them should be non-const in order to write the output.
+    - (Optional, but recommended) N TensorArgType args that specify for each
+      tensor whether `op` reads AND writes ] (i.e., TensorArgType::ReadWrite),
+      or only reads (i.e., TensorArgType::ReadOnly).
+      Default is TensorArgType::ReadWrite for first Tensor, and
+                 TensorArgType::ReadOnly  for the rest.
+
+  E.g.,
+
+  to compute a = b^2 for a and b of same dtype, we can call
+
+  CUDA_tensor_apply2<scalar, scalar>(
+    a, b,
+    [] __device__ (scalar &a_val, const scalar &b_val) { a_val = b_val * b_val; }
+  );
+
+  to work on 2 values at the same time, we can call
+
+  CUDA_tensor_apply2<scalar1, scalar2, 2>(
+    a, b,
+    [] __device__ (int n, scalar1 &a_val1, scalar1 &a_val2,
+                          const scalar2 &b_val1, const scalar2 &b_val2) {
+      // call special vectorized op here, or just do elementwise and enjoy unrolling...
+      // if n == 1, only process a_val1 and b_val1
+    }
+  );
+*/
+
+namespace at::cuda {
+
+// TODO: combine with TensorArg?  So far that's been for debugging, and this is functional...
+enum class TensorArgType { ReadWrite, ReadOnly };
+
+namespace {
+
+// Rearrange dimensions for pointwise operations so that strides are in
+// decreasing order as much as possible, so that kernels have better memory
+// access patterns.
+//
+// For example, consider a binary operation on two "transposed" 2-dim tensors:
+//    sizes:          256 512
+//    aInfo->strides:   1 256
+//    bInfo->strides:   1 256
+//
+// Given this, each concurrent memory access inside kernelPointwiseApply2() is
+// exactly 256 elements apart, resulting in poor performance.
+//
+// This function exchanges dimensions so that memory access is contiguous:
+//    sizes:          512 256
+//    aInfo->strides: 256   1
+//    bInfo->strides: 256   1
+//
+// (Actually, it becomes even better because now collapseDims() can turn each
+// input into one contiguous array.)
+//
+// In general, given M (<=4) TensorInfo's with N dimensions, we can view each
+// strides[i] (0 <= i < N) as an M-tuple.  Given each pair i < j, we exchange
+// strides[i] and [j] if
+//    (1) strides[i][k] < strides[j][k] for some k (0 <= k < M)
+//        (exchanging them will benefit input #k), and
+//    (2) strides[i][k] <= strieds[j][k] for all k
+//        (exchanging them will not make any input worse).
+template <typename T1, typename IndexType,
+          typename T2 = void, typename T3 = void, typename T4 = void>
+inline void rearrangeDims(detail::TensorInfo<T1, IndexType>* aInfo,
+                          detail::TensorInfo<T2, IndexType>* bInfo = nullptr,
+                          detail::TensorInfo<T3, IndexType>* cInfo = nullptr,
+                          detail::TensorInfo<T4, IndexType>* dInfo = nullptr) {
+  int numInfos = 1;
+  int dims = aInfo->dims;
+  IndexType *sizes[4] = { aInfo->sizes, };
+  IndexType *strides[4] = { aInfo->strides, };
+
+  if (bInfo != nullptr) {
+    ++numInfos;
+    if (bInfo->dims != dims) return;
+    sizes[1] = bInfo->sizes;
+    strides[1] = bInfo->strides;
+  }
+
+  if (cInfo != nullptr) {
+    ++numInfos;
+    if (cInfo->dims != dims) return;
+    sizes[2] = cInfo->sizes;
+    strides[2] = cInfo->strides;
+  }
+
+  if (dInfo != nullptr) {
+    ++numInfos;
+    if (dInfo->dims != dims) return;
+    sizes[3] = dInfo->sizes;
+    strides[3] = dInfo->strides;
+  }
+
+  // Bail out if sizes do not match: we are using "deprecated pointwise
+  // behavior" among tensors of different shapes but same number of elements.
+  for (int i = 1; i < numInfos; ++i) {
+    for (int j = 0; j < dims; ++j) {
+      if (sizes[i][j] != sizes[0][j]) return;
+    }
+  }
+
+  for (int i = 0; i < dims - 1; ++i) {
+    // No need to consider dimensions of size 1.
+    if (sizes[0][i] == 1) continue;
+
+    for (int j = i + 1; j < dims; ++j) {
+      if (sizes[0][j] == 1) continue;
+
+      // Compare the relative sizes of strides between dim #i and dim #j.
+      bool hasIncreasingStrides = false;
+      bool hasDecreasingStrides = false;
+
+      for (int k = 0; k < numInfos; k++) {
+        IndexType stride_i = strides[k][i];
+        IndexType stride_j = strides[k][j];
+        if (stride_i < stride_j) {
+          hasIncreasingStrides = true;
+        } else if (stride_i > stride_j) {
+          hasDecreasingStrides = true;
+        }
+      }
+
+      if (hasIncreasingStrides && !hasDecreasingStrides) {
+        for (int k = 0; k < numInfos; k++) {
+          IndexType size = sizes[k][i];
+          sizes[k][i] = sizes[k][j];
+          sizes[k][j] = size;
+
+          IndexType stride = strides[k][i];
+          strides[k][i] = strides[k][j];
+          strides[k][j] = stride;
+        }
+      }
+    }
+  }
+}
+
+// The `remaining_steps` argument is used to support Op that operates on
+// multiple elements at the same time. Generally, the strategy of ApplyOpN is to
+//  1. Initialize `remaining_steps = step`, where `step` is the template arg of
+//     CUDA_tensor_applyN helpers. The input arg `n` to `apply()` represents the
+//     number of elements in bound for this call. It will almost always equal to
+//     `step` except at boundaries.
+//  2. If `remaining_steps > 0` convert the current linearIndex to offset (if in
+//     bound), and recursively call `ApplyOpN` with `remaining_steps - 1`.
+//  3. At `remaining_steps = 0`,
+//       if `step = 1`, call `op(tensor1_val, tensor2_val, ...)`;
+//       if `step > 1`, call `op(n, tensor1_val1, tensor1_val2, ..., tesor1_valstep,
+//                                  tensor2_val1, tensor2_val2, ..., tesor2_valstep,
+//                                       ...
+//                                  tensorN_val1, tensorN_val2, ..., tesorN_valstep);`
+//
+// See NOTE [ CUDA_tensor_applyN helpers ] above for how Op may look like.
+
+template <typename Op,
+          typename scalar,
+          typename IndexType,
+          int ADims,
+          int remaining_steps,
+          typename... Offsets>
+struct ApplyOp1 {
+__device__ __forceinline__
+static void apply(detail::TensorInfo<scalar, IndexType> &a, const Op &op, int n,
+                  IndexType linearIndex, Offsets... aOffsets) {
+  // Convert `linearIndex` into an offset of `a`
+  const IndexType aOffset = sizeof...(Offsets) < n ?
+    detail::IndexToOffset<scalar, IndexType, ADims>::get(linearIndex, a) : 0;
+
+  ApplyOp1<Op, scalar, IndexType, ADims, remaining_steps - 1, const IndexType, Offsets...>::apply(
+    a, op, n, linearIndex + 1, aOffsets..., aOffset
+  );
+}
+};
+
+// Specialize `step=1` case (i.e., `remaining_steps=0` and `len(Offsets)=1`).
+// We don't need to pass in how many elements need to processed in this case.
+template <typename Op,
+          typename scalar,
+          typename IndexType,
+          int ADims,
+          typename Offset>
+struct ApplyOp1<Op, scalar, IndexType, ADims, 0, Offset> {
+__device__ __forceinline__
+static void apply(detail::TensorInfo<scalar, IndexType> &a, const Op &op,
+                  int n, IndexType linearIndex, Offset offset) {
+  op(a.data[offset]);
+}
+};
+
+template <typename Op,
+          typename scalar,
+          typename IndexType,
+          int ADims,
+          typename... Offsets>
+struct ApplyOp1<Op, scalar, IndexType, ADims, 0, Offsets...> {
+__device__ __forceinline__
+static void apply(detail::TensorInfo<scalar, IndexType> &a, const Op &op, int n,
+                 IndexType linearIndex, Offsets... offsets) {
+  op(n, a.data[offsets]...);
+}
+};
+
+template <typename Op,
+          typename scalar,
+          typename IndexType,
+          int ADims,
+          int step>
+#if __CUDA_ARCH__ >= 350 || defined(USE_ROCM)
+C10_LAUNCH_BOUNDS_2(AT_APPLY_THREADS_PER_BLOCK, AT_APPLY_BLOCKS_PER_SM)
+#endif
+__global__ void kernelPointwiseApply1(detail::TensorInfo<scalar, IndexType> a,
+                                      IndexType totalElements, const Op op) {
+  for (IndexType linearIndex = (blockIdx.x * blockDim.x + threadIdx.x) * step;
+       linearIndex < totalElements;
+       linearIndex += gridDim.x * blockDim.x * step) {
+    ApplyOp1<Op, scalar, IndexType, ADims, step>::apply(
+      a, op, ::min(step, static_cast<int>(totalElements - linearIndex)), linearIndex);
+  }
+}
+
+
+template <typename Op,
+          typename scalar1,
+          typename scalar2,
+          typename IndexType,
+          int ADims,
+          int BDims,
+          int remaining_steps,
+          typename... Offsets>
+struct ApplyOp2 {
+__device__ __forceinline__
+static void apply(detail::TensorInfo<scalar1, IndexType> &a,
+                  detail::TensorInfo<scalar2, IndexType> &b,
+                  const Op &op, int64_t n, IndexType linearIndex,
+                  Offsets... aOffsets, Offsets... bOffsets) {
+  // Convert `linearIndex` into an offset of `a`
+  const IndexType aOffset = static_cast<int64_t>(sizeof...(Offsets)) < n ?
+    detail::IndexToOffset<scalar1, IndexType, ADims>::get(linearIndex, a) : 0;
+
+  // Convert `linearIndex` into an offset of `b`
+  const IndexType bOffset = static_cast<int64_t>(sizeof...(Offsets)) < n ?
+    detail::IndexToOffset<scalar2, IndexType, BDims>::get(linearIndex, b) : 0;
+
+  ApplyOp2<Op, scalar1, scalar2, IndexType, ADims, BDims, remaining_steps - 1, const IndexType, Offsets...>::apply(
+    a, b, op, n, linearIndex + 1, aOffsets..., aOffset, bOffsets..., bOffset
+  );
+}
+};
+
+// Specialize `step=1` case (i.e., `remaining_steps=0` and `len(Offsets)=1`).
+// We don't need to pass in how many elements need to processed in this case.
+template <typename Op,
+          typename scalar1,
+          typename scalar2,
+          typename IndexType,
+          int ADims,
+          int BDims,
+          typename Offset>
+struct ApplyOp2<Op, scalar1, scalar2, IndexType, ADims, BDims, 0, Offset> {
+__device__ __forceinline__
+static void apply(detail::TensorInfo<scalar1, IndexType> &a,
+                  detail::TensorInfo<scalar2, IndexType> &b,
+                  const Op &op, int /*n*/, IndexType /*linearIndex*/,
+                  Offset aOffset, Offset bOffset) {
+  op(a.data[aOffset], b.data[bOffset]);
+}
+};
+
+template <typename Op,
+          typename scalar1,
+          typename scalar2,
+          typename IndexType,
+          int ADims,
+          int BDims,
+          typename... Offsets>
+struct ApplyOp2<Op, scalar1, scalar2, IndexType, ADims, BDims, 0, Offsets...> {
+__device__ __forceinline__
+static void apply(detail::TensorInfo<scalar1, IndexType> &a,
+                  detail::TensorInfo<scalar2, IndexType> &b,
+                  const Op &op, int n, IndexType linearIndex,
+                  Offsets... aOffsets, Offsets... bOffsets) {
+  op(n, a.data[aOffsets]..., b.data[bOffsets]...);
+}
+};
+
+template <typename Op,
+          typename scalar1,
+          typename scalar2,
+          typename IndexType,
+          int ADims, int BDims,
+          int step,
+          int max_threads_per_block=AT_APPLY_THREADS_PER_BLOCK,
+          int min_blocks_per_sm=AT_APPLY_BLOCKS_PER_SM>
+#if __CUDA_ARCH__ >= 350 || defined(USE_ROCM)
+C10_LAUNCH_BOUNDS_2(max_threads_per_block, min_blocks_per_sm)
+#endif
+__global__ void
+kernelPointwiseApply2(detail::TensorInfo<scalar1, IndexType> a,
+                      detail::TensorInfo<scalar2, IndexType> b,
+                      IndexType totalElements,
+                      const Op op) {
+  for (IndexType linearIndex = (blockIdx.x * blockDim.x + threadIdx.x) * step;
+       linearIndex < totalElements;
+       linearIndex += gridDim.x * blockDim.x * step) {
+    ApplyOp2<Op, scalar1, scalar2, IndexType, ADims, BDims, step>::apply(
+      a, b, op, ::min(step, static_cast<int>(totalElements - linearIndex)),
+      linearIndex);
+  }
+}
+
+} // anonymous namespace
+
+template <typename scalar1, typename scalar2, int step, typename Op,
+          int max_threads_per_block=AT_APPLY_THREADS_PER_BLOCK,
+          int min_blocks_per_sm=AT_APPLY_BLOCKS_PER_SM>
+inline bool CUDA_tensor_apply2(at::TensorBase a,
+                               at::TensorBase b,
+                               const Op op,
+                               TensorArgType aType = TensorArgType::ReadWrite,
+                               TensorArgType bType = TensorArgType::ReadOnly) {
+  TORCH_CHECK(a.device().is_cuda() && b.device().is_cuda(),
+              "CUDA_tensor_apply2: Expected tensors to have CUDA DeviceType, but got "
+              "tensors with type ", a.device().type(), " and ", b.device().type());
+  int64_t totalElements = a.numel();
+
+  if (totalElements != b.numel()) {
+    return false;
+  }
+
+  if (a.dim() > MAX_TENSORINFO_DIMS ||
+      b.dim() > MAX_TENSORINFO_DIMS) {
+    return false;
+  }
+
+  if (a.numel() == 0) {
+    // Empty tensor; do nothing
+    return true;
+  }
+  const dim3 block = getApplyBlock(max_threads_per_block);
+
+  dim3 grid;
+  auto curDevice = current_device();
+  if (curDevice == -1) return false;
+  if (!getApplyGrid<step>(totalElements, grid, curDevice, max_threads_per_block)) {
+    return false;
+  }
+
+  /*
+  Expands readable/writable tensors whose indices may be "overlapped."
+  This ensures that each element of the tensor is operated on once and only
+  once.
+  */
+  TensorBase oldA;
+  TensorBase oldB;
+
+  if (aType == TensorArgType::ReadWrite && detail::maybeOverlappingIndices(a)) {
+    // Must perform in contiguous space
+    oldA = std::exchange(a, a.contiguous());
+  }
+  if (bType == TensorArgType::ReadWrite && detail::maybeOverlappingIndices(b)) {
+    // Must perform in contiguous space
+    oldB = std::exchange(b, b.contiguous());
+  }
+
+  // It is possible that the tensor dimensions are able to be collapsed,
+  // and thus we can reduce the actual code complexity of the copy by
+  // exploiting this knowledge statically, since the div/mod is the
+  // most expensive part of the operation, more so than memory accesses.
+  // For instance, when copying a non-contiguous to a contiguous tensor
+  // (or vice versa), the contiguous tensor can be collapsed to one
+  // dimension, and the loop to translate the linear index to the array
+  // index can be similarly collapsed. That is what this unrolling is for.
+
+#define HANDLE_CASE(TYPE, A, B)                                        \
+  kernelPointwiseApply2<Op,                                            \
+                        scalar1,                                       \
+                        scalar2,                                       \
+                        TYPE, A, B, step,                              \
+                        max_threads_per_block,                         \
+                        min_blocks_per_sm>                             \
+   <<<grid, block, 0, at::cuda::getCurrentCUDAStream(curDevice)>>>(    \
+       aInfo, bInfo, static_cast<TYPE>(totalElements), op);            \
+  C10_CUDA_KERNEL_LAUNCH_CHECK();
+
+#define HANDLE_B_CASE(TYPE, A, B) {         \
+  switch (B) {                              \
+    case 1:                                 \
+      HANDLE_CASE(TYPE, A, 1);              \
+      break;                                \
+    case 2:                                 \
+      HANDLE_CASE(TYPE, A, 2);              \
+      break;                                \
+    default:                                \
+      HANDLE_CASE(TYPE, A, -1);             \
+      break;                                \
+  }                                         \
+}
+
+#define HANDLE_A_CASE(TYPE, A, B) {         \
+  switch (A) {                              \
+    case 1:                                 \
+      HANDLE_B_CASE(TYPE, 1, B);            \
+      break;                                \
+    case 2:                                 \
+      HANDLE_B_CASE(TYPE, 2, B);            \
+      break;                                \
+    default:                                \
+      HANDLE_B_CASE(TYPE, -1, B);           \
+      break;                                \
+  }                                         \
+}
+
+  if (detail::canUse32BitIndexMath(a) &&
+      detail::canUse32BitIndexMath(b)) {
+    detail::TensorInfo<scalar1, unsigned int> aInfo =
+      detail::getTensorInfo<scalar1, unsigned int>(a);
+
+    detail::TensorInfo<scalar2, unsigned int> bInfo =
+      detail::getTensorInfo<scalar2, unsigned int>(b);
+    rearrangeDims(&aInfo, &bInfo);
+    aInfo.collapseDims();
+    bInfo.collapseDims();
+
+    HANDLE_A_CASE(unsigned int, aInfo.dims, bInfo.dims);
+  } else {
+    detail::TensorInfo<scalar1, uint64_t> aInfo =
+      detail::getTensorInfo<scalar1, uint64_t>(a);
+
+    detail::TensorInfo<scalar2, uint64_t> bInfo =
+      detail::getTensorInfo<scalar2, uint64_t>(b);
+    rearrangeDims(&aInfo, &bInfo);
+    aInfo.collapseDims();
+    bInfo.collapseDims();
+
+    /*
+    Only instantiates the all 1D special case and the fallback all nD case for
+    large (64-bit indexed) tensors to reduce compilation time.
+    */
+    if (aInfo.dims == 1 && bInfo.dims == 1) {
+      HANDLE_CASE(uint64_t, 1, 1);
+    } else {
+      HANDLE_CASE(uint64_t, -1, -1);
+    }
+  }
+#undef HANDLE_CASE
+#undef HANDLE_B_CASE
+#undef HANDLE_A_CASE
+
+  if (oldA.defined()) {
+    at::native::copy_ignoring_overlaps(oldA, a);
+  }
+
+  if (oldB.defined()) {
+    at::native::copy_ignoring_overlaps(oldB, b);
+  }
+
+  return true;
+}
+
+/* Provides default step = 1 to CUDA_tensor_apply2. */
+template <typename scalar1, typename scalar2, typename Op,
+          int max_threads_per_block=AT_APPLY_THREADS_PER_BLOCK,
+          int min_blocks_per_sm=AT_APPLY_BLOCKS_PER_SM>
+inline bool CUDA_tensor_apply2(const at::TensorBase &a,
+                               const at::TensorBase &b,
+                               const Op op,
+                               TensorArgType aType = TensorArgType::ReadWrite,
+                               TensorArgType bType = TensorArgType::ReadOnly) {
+  return CUDA_tensor_apply2<scalar1, scalar2, 1, Op,
+                            max_threads_per_block, min_blocks_per_sm>(a, b, op, aType, bType);
+}
+
+} // namespace at::cuda

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDABlas.h

@@ -0,0 +1,358 @@
+#pragma once
+/*
+  Provides a subset of CUDA BLAS functions as templates:
+
+    gemm<Dtype>(transa, transb, m, n, k, alpha, a, lda, b, ldb, beta, c,
+  ldc)
+
+    gemv<Dtype>(transa, m, n, alpha, a, lda, x, incx, beta, y, incy)
+
+    dot<Dtype>(n, x, incx, y, incy, result)
+
+  where Dtype is double, float, at::Half or at::BFloat16 (ROCm, NOT for dot).
+  The functions are available in at::cuda::blas namespace.
+ */
+
+#include <ATen/cuda/CUDAContext.h>
+#include <ATen/OpMathType.h>
+
+namespace at::cuda::blas {
+
+// RAII guard that sets the CuBLAS pointer mode and restores it to
+// its previous value when the guard is destroyed
+class PointerModeGuard {
+public:
+  PointerModeGuard(cublasHandle_t handle, cublasPointerMode_t mode) :
+      handle(handle) {
+    TORCH_CUDABLAS_CHECK(cublasGetPointerMode(handle, &previous_mode));
+    TORCH_CUDABLAS_CHECK(cublasSetPointerMode(handle, mode));
+  }
+
+  ~PointerModeGuard() {
+    cublasSetPointerMode(handle, previous_mode);
+  }
+
+private:
+  cublasHandle_t handle;
+  cublasPointerMode_t previous_mode;
+};
+
+/* LEVEL 3 BLAS FUNCTIONS */
+
+#define CUDABLAS_GEMM_ARGTYPES(Dtype)                                                       \
+  char transa, char transb, int64_t m, int64_t n, int64_t k, at::opmath_type<Dtype> alpha,  \
+      const Dtype *a, int64_t lda, const Dtype *b, int64_t ldb, at::opmath_type<Dtype> beta,\
+      Dtype *c, int64_t ldc
+
+#define CUDABLAS_GEMM_ARGS(Dtype) transa, transb, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc
+
+template <typename Dtype>
+inline void gemm(CUDABLAS_GEMM_ARGTYPES(Dtype)) {
+  static_assert(false&&sizeof(Dtype),"at::cuda::blas::gemm: not implemented");
+}
+
+template <>
+void gemm<double>(CUDABLAS_GEMM_ARGTYPES(double));
+template <>
+void gemm<float>(CUDABLAS_GEMM_ARGTYPES(float));
+template <>
+void gemm<c10::complex<double>>(CUDABLAS_GEMM_ARGTYPES(c10::complex<double>));
+template <>
+void gemm<c10::complex<float>>(CUDABLAS_GEMM_ARGTYPES(c10::complex<float>));
+template <>
+void gemm<at::Half>(CUDABLAS_GEMM_ARGTYPES(at::Half));
+template <>
+void gemm<at::BFloat16>(CUDABLAS_GEMM_ARGTYPES(at::BFloat16));
+
+template <typename Dtype>
+inline void gemm_internal(CUDABLAS_GEMM_ARGTYPES(Dtype)) {
+  static_assert(false&&sizeof(Dtype),"at::cuda::blas::gemm_internal: not implemented");
+}
+
+template <>
+void gemm_internal<double>(CUDABLAS_GEMM_ARGTYPES(double));
+template <>
+void gemm_internal<float>(CUDABLAS_GEMM_ARGTYPES(float));
+template <>
+void gemm_internal<c10::complex<double>>(CUDABLAS_GEMM_ARGTYPES(c10::complex<double>));
+template <>
+void gemm_internal<c10::complex<float>>(CUDABLAS_GEMM_ARGTYPES(c10::complex<float>));
+template <>
+void gemm_internal<at::Half>(CUDABLAS_GEMM_ARGTYPES(at::Half));
+template <>
+void gemm_internal<at::BFloat16>(CUDABLAS_GEMM_ARGTYPES(at::BFloat16));
+
+enum GEMMAndBiasActivationEpilogue {
+  None,
+  RELU,
+  GELU,
+};
+
+// NOTE: GELU activation is not supported prior to CUDA 11.4 and will
+// do nothing if passed in that case.
+template <typename Dtype>
+void gemm_and_bias(
+    bool transpose_mat1,
+    bool transpose_mat2,
+    int64_t m,
+    int64_t n,
+    int64_t k,
+    at::opmath_type<Dtype> alpha_val,
+    const Dtype* mat1_ptr,
+    int64_t mat1_ld,
+    const Dtype* mat2_ptr,
+    int64_t mat2_ld,
+    const Dtype* bias,
+    Dtype* result_ptr,
+    int64_t result_ld,
+    GEMMAndBiasActivationEpilogue activation = GEMMAndBiasActivationEpilogue::None);
+
+void int8_gemm(
+    bool transpose_mat1,
+    bool transpose_mat2,
+    int64_t m,
+    int64_t n,
+    int64_t k,
+    const int8_t* mat1_ptr,
+    int64_t mat1_ld,
+    const int8_t* mat2_ptr,
+    int64_t mat2_ld,
+    int32_t* result_ptr,
+    int64_t result_ld);
+
+void scaled_gemm(
+    char transa,
+    char transb,
+    int64_t m,
+    int64_t n,
+    int64_t k,
+    const void* mat1_ptr,
+    const void* mat1_scale_ptr,
+    int64_t mat1_ld,
+    ScalarType mat1_dtype,
+    const void* mat2_ptr,
+    const void* mat2_scale_ptr,
+    int64_t mat2_ld,
+    ScalarType mat2_dtype,
+    const void* bias_ptr,
+    ScalarType bias_dtype,
+    void* result_ptr,
+    const void* result_scale_ptr,
+    int64_t result_ld,
+    ScalarType result_dtype,
+    void* amax_ptr,
+    bool use_fast_accum);
+
+#define CUDABLAS_BGEMM_ARGTYPES(Dtype)                                                        \
+  char transa, char transb, int64_t m, int64_t n, int64_t k, at::opmath_type<Dtype> alpha,    \
+      const Dtype *a, int64_t lda, int64_t stridea,                                           \
+      const Dtype *b, int64_t ldb, int64_t strideb,                                           \
+      at::opmath_type<Dtype> beta, Dtype *c, int64_t ldc, int64_t stridec, int64_t num_batches
+
+#define CUDABLAS_BGEMM_ARGS(Dtype) \
+  transa, transb, m, n, k, alpha, a, lda, stridea, b, ldb, strideb, beta, c, ldc, stridec, num_batches
+
+template <typename Dtype>
+inline void bgemm(CUDABLAS_BGEMM_ARGTYPES(Dtype)) {
+  static_assert(false&&sizeof(Dtype),"at::cuda::blas::bgemm: not implemented");
+}
+
+template <>
+void bgemm<double>(CUDABLAS_BGEMM_ARGTYPES(double));
+template <>
+void bgemm<float>(CUDABLAS_BGEMM_ARGTYPES(float));
+template <>
+void bgemm<c10::complex<double>>(CUDABLAS_BGEMM_ARGTYPES(c10::complex<double>));
+template <>
+void bgemm<c10::complex<float>>(CUDABLAS_BGEMM_ARGTYPES(c10::complex<float>));
+template <>
+void bgemm<at::Half>(CUDABLAS_BGEMM_ARGTYPES(at::Half));
+template <>
+void bgemm<at::BFloat16>(CUDABLAS_BGEMM_ARGTYPES(at::BFloat16));
+
+template <typename Dtype>
+inline void bgemm_internal(CUDABLAS_BGEMM_ARGTYPES(Dtype)) {
+  static_assert(false&&sizeof(Dtype),"at::cuda::blas::bgemm_internal: not implemented");
+}
+
+template <>
+void bgemm_internal<double>(CUDABLAS_BGEMM_ARGTYPES(double));
+template <>
+void bgemm_internal<float>(CUDABLAS_BGEMM_ARGTYPES(float));
+template <>
+void bgemm_internal<c10::complex<double>>(CUDABLAS_BGEMM_ARGTYPES(c10::complex<double>));
+template <>
+void bgemm_internal<c10::complex<float>>(CUDABLAS_BGEMM_ARGTYPES(c10::complex<float>));
+template <>
+void bgemm_internal<at::Half>(CUDABLAS_BGEMM_ARGTYPES(at::Half));
+template <>
+void bgemm_internal<at::BFloat16>(CUDABLAS_BGEMM_ARGTYPES(at::BFloat16));
+
+#define CUDABLAS_TRSM_ARGTYPES(Dtype)                                  \
+  cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, \
+      cublasOperation_t trans, cublasDiagType_t diag, int m, int n,    \
+      const Dtype *alpha, const Dtype *A, int lda, Dtype *B, int ldb
+
+template <typename Dtype>
+inline void trsm(CUDABLAS_TRSM_ARGTYPES(Dtype)) {
+  static_assert(false&&sizeof(Dtype), "at::cuda::blas::trsm: not implemented");
+}
+
+template <>
+TORCH_CUDA_CU_API void trsm<float>(CUDABLAS_TRSM_ARGTYPES(float));
+template <>
+TORCH_CUDA_CU_API void trsm<double>(CUDABLAS_TRSM_ARGTYPES(double));
+template <>
+TORCH_CUDA_CU_API void trsm<c10::complex<float>>(CUDABLAS_TRSM_ARGTYPES(c10::complex<float>));
+template <>
+TORCH_CUDA_CU_API void trsm<c10::complex<double>>(CUDABLAS_TRSM_ARGTYPES(c10::complex<double>));
+
+#define CUDABLAS_TRSM_BATCHED_ARGTYPES(Dtype)                          \
+  cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, \
+      cublasOperation_t trans, cublasDiagType_t diag, int m, int n,    \
+      const Dtype *alpha, Dtype *A[], int lda, Dtype *B[], int ldb,    \
+      int batchCount
+
+template <typename Dtype>
+inline void trsmBatched(CUDABLAS_TRSM_BATCHED_ARGTYPES(Dtype)) {
+  static_assert(false&&sizeof(Dtype), "at::cuda::blas::trsmBatched: not implemented");
+}
+
+template <>
+TORCH_CUDA_CU_API void trsmBatched<float>(CUDABLAS_TRSM_BATCHED_ARGTYPES(float));
+template <>
+TORCH_CUDA_CU_API void trsmBatched<double>(CUDABLAS_TRSM_BATCHED_ARGTYPES(double));
+template <>
+TORCH_CUDA_CU_API void trsmBatched<c10::complex<float>>(CUDABLAS_TRSM_BATCHED_ARGTYPES(c10::complex<float>));
+template <>
+TORCH_CUDA_CU_API void trsmBatched<c10::complex<double>>(CUDABLAS_TRSM_BATCHED_ARGTYPES(c10::complex<double>));
+
+/* LEVEL 2 BLAS FUNCTIONS */
+
+#define CUDABLAS_GEMV_ARGTYPES(Dtype)                                         \
+  char trans, int64_t m, int64_t n, Dtype alpha, const Dtype *a, int64_t lda, \
+      const Dtype *x, int64_t incx, Dtype beta, Dtype *y, int64_t incy
+
+template <typename Dtype>
+inline void gemv(CUDABLAS_GEMV_ARGTYPES(Dtype)) {
+  static_assert(false&&sizeof(Dtype), "at::cuda::blas::gemv: not implemented");
+}
+
+template <>
+void gemv<double>(CUDABLAS_GEMV_ARGTYPES(double));
+template <>
+void gemv<float>(CUDABLAS_GEMV_ARGTYPES(float));
+template <>
+void gemv<c10::complex<double>>(CUDABLAS_GEMV_ARGTYPES(c10::complex<double>));
+template <>
+void gemv<c10::complex<float>>(CUDABLAS_GEMV_ARGTYPES(c10::complex<float>));
+template <>
+void gemv<at::Half>(CUDABLAS_GEMV_ARGTYPES(at::Half));
+template <>
+void gemv<at::BFloat16>(CUDABLAS_GEMV_ARGTYPES(at::BFloat16));
+
+/* LEVEL 1 BLAS FUNCTIONS */
+
+#define CUDABLAS_DOT_ARGTYPES(Dtype)                                      \
+  cublasHandle_t handle, int n, const Dtype *x, int incx, const Dtype *y, \
+      int incy, Dtype *result
+
+template <typename Dtype>
+inline void dot(CUDABLAS_DOT_ARGTYPES(Dtype)) {
+  static_assert(false&&sizeof(Dtype),"at::cuda::blas::dot: not implemented");
+}
+
+template <>
+void dot<double>(CUDABLAS_DOT_ARGTYPES(double));
+template <>
+void dot<float>(CUDABLAS_DOT_ARGTYPES(float));
+template <>
+void dot<at::Half>(CUDABLAS_DOT_ARGTYPES(at::Half));
+template <>
+void dot<at::BFloat16>(CUDABLAS_DOT_ARGTYPES(at::BFloat16));
+template <>
+void dot<c10::complex<double>>(CUDABLAS_DOT_ARGTYPES(c10::complex<double>));
+template <>
+void dot<c10::complex<float>>(CUDABLAS_DOT_ARGTYPES(c10::complex<float>));
+
+template <typename Dtype>
+inline void vdot(CUDABLAS_DOT_ARGTYPES(Dtype)) {
+  static_assert(false&&sizeof(Dtype),"at::cuda::blas::vdot: not implemented");
+}
+
+template <>
+void vdot<c10::complex<float>>(CUDABLAS_DOT_ARGTYPES(c10::complex<float>));
+template <>
+void vdot<c10::complex<double>>(CUDABLAS_DOT_ARGTYPES(c10::complex<double>));
+
+#define CUDABLAS_GETRS_ARGTYPES(Dtype)  \
+  cublasHandle_t handle, cublasOperation_t trans, \
+  int n, int nrhs, Dtype** dA_array, int lda, int* ipiv_array, \
+  Dtype** dB_array, int ldb, int* info_array, int batchsize
+
+template<class Dtype>
+void getrsBatched(CUDABLAS_GETRS_ARGTYPES(Dtype)) {
+  static_assert(false&&sizeof(Dtype),"at::cuda::blas::getrsBatched: not implemented");
+}
+template<>
+TORCH_CUDA_CU_API void getrsBatched<float>(CUDABLAS_GETRS_ARGTYPES(float));
+template<>
+TORCH_CUDA_CU_API void getrsBatched<double>(CUDABLAS_GETRS_ARGTYPES(double));
+template<>
+TORCH_CUDA_CU_API void getrsBatched<c10::complex<float>>(CUDABLAS_GETRS_ARGTYPES(c10::complex<float>));
+template<>
+TORCH_CUDA_CU_API void getrsBatched<c10::complex<double>>(CUDABLAS_GETRS_ARGTYPES(c10::complex<double>));
+
+#define CUDABLAS_GEQRF_BATCHED_ARGTYPES(Dtype)                   \
+  cublasHandle_t handle, int m, int n, Dtype **A_array, int lda, \
+      Dtype **tau_array, int *info, int batchsize
+
+template <class Dtype>
+void geqrfBatched(CUDABLAS_GEQRF_BATCHED_ARGTYPES(Dtype)) {
+  static_assert(false&&sizeof(Dtype), "at::cuda::blas::geqrfBatched: not implemented");
+}
+template <>
+TORCH_CUDA_CU_API void geqrfBatched<float>(CUDABLAS_GEQRF_BATCHED_ARGTYPES(float));
+template <>
+TORCH_CUDA_CU_API void geqrfBatched<double>(CUDABLAS_GEQRF_BATCHED_ARGTYPES(double));
+template <>
+TORCH_CUDA_CU_API void geqrfBatched<c10::complex<double>>(
+    CUDABLAS_GEQRF_BATCHED_ARGTYPES(c10::complex<double>));
+template <>
+TORCH_CUDA_CU_API void geqrfBatched<c10::complex<float>>(
+    CUDABLAS_GEQRF_BATCHED_ARGTYPES(c10::complex<float>));
+
+#define CUDABLAS_GETRF_ARGTYPES(Dtype)  \
+  int n, Dtype** dA_array, int ldda, int* ipiv_array, int* info_array, int batchsize
+
+template<class Dtype>
+void getrfBatched(CUDABLAS_GETRF_ARGTYPES(Dtype)) {
+  TORCH_CHECK(false, "at::cuda::blas::getrfBatched: not implemented");
+}
+template<>
+TORCH_CUDA_CU_API void getrfBatched<float>(CUDABLAS_GETRF_ARGTYPES(float));
+template<>
+TORCH_CUDA_CU_API void getrfBatched<double>(CUDABLAS_GETRF_ARGTYPES(double));
+template<>
+TORCH_CUDA_CU_API void getrfBatched<c10::complex<double>>(CUDABLAS_GETRF_ARGTYPES(c10::complex<double>));
+template<>
+TORCH_CUDA_CU_API void getrfBatched<c10::complex<float>>(CUDABLAS_GETRF_ARGTYPES(c10::complex<float>));
+
+#define CUDABLAS_GELS_BATCHED_ARGTYPES(Dtype)  \
+  cublasHandle_t handle, cublasOperation_t trans, int m, int n, int nrhs, Dtype** dA_array, int ldda, Dtype** dC_array, int lddc, int* info, int *devInfoArray, int batchSize
+
+template <class Dtype>
+void gelsBatched(CUDABLAS_GELS_BATCHED_ARGTYPES(Dtype)) {
+  static_assert(false&&sizeof(Dtype),"at::cuda::blas::gelsBatched: not implemented");
+}
+
+template<>
+TORCH_CUDA_CU_API void gelsBatched<double>(CUDABLAS_GELS_BATCHED_ARGTYPES(double));
+template<>
+TORCH_CUDA_CU_API void gelsBatched<float>(CUDABLAS_GELS_BATCHED_ARGTYPES(float));
+template<>
+TORCH_CUDA_CU_API void gelsBatched<c10::complex<double>>(CUDABLAS_GELS_BATCHED_ARGTYPES(c10::complex<double>));
+template<>
+TORCH_CUDA_CU_API void gelsBatched<c10::complex<float>>(CUDABLAS_GELS_BATCHED_ARGTYPES(c10::complex<float>));
+
+} // namespace at::cuda::blas

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDAConfig.h

@@ -0,0 +1,19 @@
+#pragma once
+
+// Test these using #if AT_CUDNN_ENABLED(), not #ifdef, so that it's
+// obvious if you forgot to include Config.h
+//    c.f. https://stackoverflow.com/questions/33759787/generating-an-error-if-checked-boolean-macro-is-not-defined
+//
+// NB: This header MUST NOT be included from other headers; it should
+// only be included from C++ files.
+#define AT_CUDNN_ENABLED() 1
+#define AT_CUSPARSELT_ENABLED() 1
+#define AT_ROCM_ENABLED() 0
+#define AT_MAGMA_ENABLED() 1
+
+// Needed for hipMAGMA to correctly identify implementation
+#if (AT_ROCM_ENABLED() && AT_MAGMA_ENABLED())
+#define HAVE_HIP 1
+#endif
+
+#define NVCC_FLAGS_EXTRA "-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90"

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDAContextLight.h

@@ -0,0 +1,99 @@
+#pragma once
+// Light-weight version of CUDAContext.h with fewer transitive includes
+
+#include <cstdint>
+
+#include <cuda_runtime_api.h>
+#include <cusparse.h>
+#include <cublas_v2.h>
+
+// cublasLT was introduced in CUDA 10.1 but we enable only for 11.1 that also
+// added bf16 support
+#include <cublasLt.h>
+
+#ifdef CUDART_VERSION
+#include <cusolverDn.h>
+#endif
+
+#if defined(USE_CUDSS)
+#include <cudss.h>
+#endif
+
+#if defined(USE_ROCM)
+#include <hipsolver/hipsolver.h>
+#endif
+
+#include <c10/core/Allocator.h>
+#include <c10/cuda/CUDAFunctions.h>
+
+namespace c10 {
+struct Allocator;
+}
+
+namespace at::cuda {
+
+/*
+A common CUDA interface for ATen.
+
+This interface is distinct from CUDAHooks, which defines an interface that links
+to both CPU-only and CUDA builds. That interface is intended for runtime
+dispatch and should be used from files that are included in both CPU-only and
+CUDA builds.
+
+CUDAContext, on the other hand, should be preferred by files only included in
+CUDA builds. It is intended to expose CUDA functionality in a consistent
+manner.
+
+This means there is some overlap between the CUDAContext and CUDAHooks, but
+the choice of which to use is simple: use CUDAContext when in a CUDA-only file,
+use CUDAHooks otherwise.
+
+Note that CUDAContext simply defines an interface with no associated class.
+It is expected that the modules whose functions compose this interface will
+manage their own state. There is only a single CUDA context/state.
+*/
+
+/**
+ * DEPRECATED: use device_count() instead
+ */
+inline int64_t getNumGPUs() {
+    return c10::cuda::device_count();
+}
+
+/**
+ * CUDA is available if we compiled with CUDA, and there are one or more
+ * devices.  If we compiled with CUDA but there is a driver problem, etc.,
+ * this function will report CUDA is not available (rather than raise an error.)
+ */
+inline bool is_available() {
+    return c10::cuda::device_count() > 0;
+}
+
+TORCH_CUDA_CPP_API cudaDeviceProp* getCurrentDeviceProperties();
+
+TORCH_CUDA_CPP_API int warp_size();
+
+TORCH_CUDA_CPP_API cudaDeviceProp* getDeviceProperties(c10::DeviceIndex device);
+
+TORCH_CUDA_CPP_API bool canDeviceAccessPeer(
+    c10::DeviceIndex device,
+    c10::DeviceIndex peer_device);
+
+TORCH_CUDA_CPP_API c10::Allocator* getCUDADeviceAllocator();
+
+/* Handles */
+TORCH_CUDA_CPP_API cusparseHandle_t getCurrentCUDASparseHandle();
+TORCH_CUDA_CPP_API cublasHandle_t getCurrentCUDABlasHandle();
+TORCH_CUDA_CPP_API cublasLtHandle_t getCurrentCUDABlasLtHandle();
+
+TORCH_CUDA_CPP_API void clearCublasWorkspaces();
+
+#if defined(CUDART_VERSION) || defined(USE_ROCM)
+TORCH_CUDA_CPP_API cusolverDnHandle_t getCurrentCUDASolverDnHandle();
+#endif
+
+#if defined(USE_CUDSS)
+TORCH_CUDA_CPP_API cudssHandle_t getCurrentCudssHandle();
+#endif
+
+} // namespace at::cuda

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDADataType.h

@@ -0,0 +1,105 @@
+#pragma once
+
+#include <c10/core/ScalarType.h>
+
+#include <cuda.h>
+#include <library_types.h>
+
+namespace at::cuda {
+
+template <typename scalar_t>
+cudaDataType getCudaDataType() {
+  static_assert(false && sizeof(scalar_t), "Cannot convert type to cudaDataType.");
+  return {};
+}
+
+template<> inline cudaDataType getCudaDataType<at::Half>() {
+  return CUDA_R_16F;
+}
+template<> inline cudaDataType getCudaDataType<float>() {
+  return CUDA_R_32F;
+}
+template<> inline cudaDataType getCudaDataType<double>() {
+  return CUDA_R_64F;
+}
+template<> inline cudaDataType getCudaDataType<c10::complex<c10::Half>>() {
+  return CUDA_C_16F;
+}
+template<> inline cudaDataType getCudaDataType<c10::complex<float>>() {
+  return CUDA_C_32F;
+}
+template<> inline cudaDataType getCudaDataType<c10::complex<double>>() {
+  return CUDA_C_64F;
+}
+
+template<> inline cudaDataType getCudaDataType<uint8_t>() {
+  return CUDA_R_8U;
+}
+template<> inline cudaDataType getCudaDataType<int8_t>() {
+  return CUDA_R_8I;
+}
+template<> inline cudaDataType getCudaDataType<int>() {
+  return CUDA_R_32I;
+}
+
+template<> inline cudaDataType getCudaDataType<int16_t>() {
+  return CUDA_R_16I;
+}
+template<> inline cudaDataType getCudaDataType<int64_t>() {
+  return CUDA_R_64I;
+}
+template<> inline cudaDataType getCudaDataType<at::BFloat16>() {
+  return CUDA_R_16BF;
+}
+
+inline cudaDataType ScalarTypeToCudaDataType(const c10::ScalarType& scalar_type) {
+  switch (scalar_type) {
+    case c10::ScalarType::Byte:
+      return CUDA_R_8U;
+    case c10::ScalarType::Char:
+      return CUDA_R_8I;
+    case c10::ScalarType::Int:
+      return CUDA_R_32I;
+    case c10::ScalarType::Half:
+      return CUDA_R_16F;
+    case c10::ScalarType::Float:
+      return CUDA_R_32F;
+    case c10::ScalarType::Double:
+      return CUDA_R_64F;
+    case c10::ScalarType::ComplexHalf:
+      return CUDA_C_16F;
+    case c10::ScalarType::ComplexFloat:
+      return CUDA_C_32F;
+    case c10::ScalarType::ComplexDouble:
+      return CUDA_C_64F;
+    case c10::ScalarType::Short:
+      return CUDA_R_16I;
+    case c10::ScalarType::Long:
+      return CUDA_R_64I;
+    case c10::ScalarType::BFloat16:
+      return CUDA_R_16BF;
+#if defined(CUDA_VERSION) && CUDA_VERSION >= 11080
+    case c10::ScalarType::Float8_e4m3fn:
+      return CUDA_R_8F_E4M3;
+    case c10::ScalarType::Float8_e5m2:
+      return CUDA_R_8F_E5M2;
+#endif
+#if defined(USE_ROCM)
+#if defined(HIP_NEW_TYPE_ENUMS)
+    case c10::ScalarType::Float8_e4m3fnuz:
+      return HIP_R_8F_E4M3_FNUZ;
+    case c10::ScalarType::Float8_e5m2fnuz:
+      return HIP_R_8F_E5M2_FNUZ;
+#else
+    case c10::ScalarType::Float8_e4m3fnuz:
+      return static_cast<hipDataType>(1000);
+    case c10::ScalarType::Float8_e5m2fnuz:
+      return static_cast<hipDataType>(1001);
+#endif
+#endif
+    default:
+      TORCH_INTERNAL_ASSERT(false, "Cannot convert ScalarType ", scalar_type, " to cudaDataType.")
+  }
+}
+
+} // namespace at::cuda

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDADevice.h

@@ -0,0 +1,23 @@
+#pragma once
+
+#include <ATen/cuda/Exceptions.h>
+
+#include <cuda.h>
+#include <cuda_runtime.h>
+
+namespace at::cuda {
+
+inline Device getDeviceFromPtr(void* ptr) {
+  cudaPointerAttributes attr{};
+
+  AT_CUDA_CHECK(cudaPointerGetAttributes(&attr, ptr));
+
+#if !defined(USE_ROCM)
+  TORCH_CHECK(attr.type != cudaMemoryTypeUnregistered,
+    "The specified pointer resides on host memory and is not registered with any CUDA device.");
+#endif
+
+  return {c10::DeviceType::CUDA, static_cast<DeviceIndex>(attr.device)};
+}
+
+} // namespace at::cuda

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDAEvent.h

@@ -0,0 +1,211 @@
+#pragma once
+
+#include <ATen/cuda/ATenCUDAGeneral.h>
+#include <ATen/cuda/CUDAContext.h>
+#include <c10/core/impl/GPUTrace.h>
+#include <c10/cuda/CUDAStream.h>
+#include <c10/cuda/CUDAGuard.h>
+#include <ATen/cuda/Exceptions.h>
+#include <c10/util/Exception.h>
+
+#include <cuda_runtime_api.h>
+
+#include <cstdint>
+#include <utility>
+
+namespace at::cuda {
+
+/*
+* CUDAEvents are movable not copyable wrappers around CUDA's events.
+*
+* CUDAEvents are constructed lazily when first recorded unless it is
+* reconstructed from a cudaIpcEventHandle_t. The event has a device, and this
+* device is acquired from the first recording stream. However, if reconstructed
+* from a handle, the device should be explicitly specified; or if ipc_handle() is
+* called before the event is ever recorded, it will use the current device.
+* Later streams that record the event must match this device.
+*/
+struct TORCH_CUDA_CPP_API CUDAEvent {
+  // Constructors
+  // Default value for `flags` is specified below - it's cudaEventDisableTiming
+  CUDAEvent() noexcept = default;
+  CUDAEvent(unsigned int flags) noexcept : flags_{flags} {}
+
+  CUDAEvent(
+      DeviceIndex device_index, const cudaIpcEventHandle_t* handle) : device_index_(device_index) {
+      CUDAGuard guard(device_index_);
+
+      AT_CUDA_CHECK(cudaIpcOpenEventHandle(&event_, *handle));
+      is_created_ = true;
+  }
+
+  // Note: event destruction done on creating device to avoid creating a
+  // CUDA context on other devices.
+  ~CUDAEvent() {
+    try {
+      if (is_created_) {
+        CUDAGuard guard(device_index_);
+        const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
+        if (C10_UNLIKELY(interp)) {
+          (*interp)->trace_gpu_event_deletion(at::kCUDA, reinterpret_cast<uintptr_t>(event_));
+        }
+        AT_CUDA_CHECK(cudaEventDestroy(event_));
+      }
+    } catch (...) { /* No throw */ }
+  }
+
+  CUDAEvent(const CUDAEvent&) = delete;
+  CUDAEvent& operator=(const CUDAEvent&) = delete;
+
+  CUDAEvent(CUDAEvent&& other) noexcept { moveHelper(std::move(other)); }
+  CUDAEvent& operator=(CUDAEvent&& other) noexcept {
+    if (this != &other) {
+      moveHelper(std::move(other));
+    }
+    return *this;
+  }
+
+  operator cudaEvent_t() const { return event(); }
+
+  // Less than operator (to allow use in sets)
+  friend bool operator<(const CUDAEvent& left, const CUDAEvent& right) {
+    return left.event_ < right.event_;
+  }
+
+  std::optional<at::Device> device() const {
+    if (is_created_) {
+      return at::Device(at::kCUDA, device_index_);
+    } else {
+      return {};
+    }
+  }
+
+  bool isCreated() const { return is_created_; }
+  DeviceIndex device_index() const {return device_index_;}
+  cudaEvent_t event() const { return event_; }
+
+  // Note: cudaEventQuery can be safely called from any device
+  bool query() const {
+    if (!is_created_) {
+      return true;
+    }
+
+    cudaError_t err = cudaEventQuery(event_);
+    if (err == cudaSuccess) {
+      return true;
+    } else if (err != cudaErrorNotReady) {
+      C10_CUDA_CHECK(err);
+    } else {
+      // ignore and clear the error if not ready
+      (void)cudaGetLastError();
+    }
+
+    return false;
+  }
+
+  void record() { record(getCurrentCUDAStream()); }
+
+  void recordOnce(const CUDAStream& stream) {
+    if (!was_recorded_) record(stream);
+  }
+
+  // Note: cudaEventRecord must be called on the same device as the event.
+  void record(const CUDAStream& stream) {
+    if (!is_created_) {
+      createEvent(stream.device_index());
+    }
+
+    TORCH_CHECK(device_index_ == stream.device_index(), "Event device ", device_index_,
+      " does not match recording stream's device ", stream.device_index(), ".");
+    CUDAGuard guard(device_index_);
+    AT_CUDA_CHECK(cudaEventRecord(event_, stream));
+    const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
+    if (C10_UNLIKELY(interp)) {
+      (*interp)->trace_gpu_event_record(at::kCUDA,
+          reinterpret_cast<uintptr_t>(event_),
+          reinterpret_cast<uintptr_t>(stream.stream())
+      );
+    }
+    was_recorded_ = true;
+  }
+
+  // Note: cudaStreamWaitEvent must be called on the same device as the stream.
+  // The event has no actual GPU resources associated with it.
+  void block(const CUDAStream& stream) {
+    if (is_created_) {
+      CUDAGuard guard(stream.device_index());
+      AT_CUDA_CHECK(cudaStreamWaitEvent(stream, event_, 0));
+      const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
+      if (C10_UNLIKELY(interp)) {
+        (*interp)->trace_gpu_event_wait(at::kCUDA,
+            reinterpret_cast<uintptr_t>(event_),
+            reinterpret_cast<uintptr_t>(stream.stream())
+        );
+      }
+    }
+  }
+
+  // Note: cudaEventElapsedTime can be safely called from any device
+  float elapsed_time(const CUDAEvent& other) const {
+    TORCH_CHECK(is_created_ && other.isCreated(),
+      "Both events must be recorded before calculating elapsed time.");
+    float time_ms = 0;
+    // We do not strictly have to set the device index to the same as our event,
+    // but if we don't and the current device is not initialized, it will
+    // create a new cuda context, which will consume a lot of memory.
+    CUDAGuard guard(device_index_);
+    // raise cudaErrorNotReady if either event is recorded but not yet completed
+    AT_CUDA_CHECK(cudaEventElapsedTime(&time_ms, event_, other.event_));
+    return time_ms;
+  }
+
+  // Note: cudaEventSynchronize can be safely called from any device
+  void synchronize() const {
+    if (is_created_) {
+      const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
+      if (C10_UNLIKELY(interp)) {
+          (*interp)->trace_gpu_event_synchronization(at::kCUDA, reinterpret_cast<uintptr_t>(event_));
+      }
+      AT_CUDA_CHECK(cudaEventSynchronize(event_));
+    }
+  }
+
+  // Note: cudaIpcGetEventHandle must be called on the same device as the event
+  void ipc_handle(cudaIpcEventHandle_t * handle) {
+      if (!is_created_) {
+        // this CUDAEvent object was initially constructed from flags but event_
+        // is not created yet.
+        createEvent(getCurrentCUDAStream().device_index());
+      }
+      CUDAGuard guard(device_index_);
+      AT_CUDA_CHECK(cudaIpcGetEventHandle(handle, event_));
+  }
+
+private:
+  unsigned int flags_ = cudaEventDisableTiming;
+  bool is_created_ = false;
+  bool was_recorded_ = false;
+  DeviceIndex device_index_ = -1;
+  cudaEvent_t event_{};
+
+  void createEvent(DeviceIndex device_index) {
+    device_index_ = device_index;
+    CUDAGuard guard(device_index_);
+    AT_CUDA_CHECK(cudaEventCreateWithFlags(&event_, flags_));
+    const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
+    if (C10_UNLIKELY(interp)) {
+      (*interp)->trace_gpu_event_creation(at::kCUDA, reinterpret_cast<uintptr_t>(event_));
+    }
+    is_created_ = true;
+  }
+
+  void moveHelper(CUDAEvent&& other) {
+    std::swap(flags_, other.flags_);
+    std::swap(is_created_, other.is_created_);
+    std::swap(was_recorded_, other.was_recorded_);
+    std::swap(device_index_, other.device_index_);
+    std::swap(event_, other.event_);
+  }
+};
+
+} // namespace at::cuda

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDAGeneratorImpl.h

@@ -0,0 +1,181 @@
+#pragma once
+
+#include <ATen/Context.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/TensorBase.h>
+#include <ATen/cuda/PhiloxCudaState.h>
+#include <atomic>
+#include <limits>
+#include <memory>
+#include <unordered_set>
+namespace at {
+
+namespace cuda {
+struct CUDAGraph;
+}
+
+/**
+ * Note [CUDA Graph-safe RNG states]
+ * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+ *
+ * Strategy:
+ * ~~~~~~~~~
+ * (It helps to look at
+ * cuda/detail/PhiloxCudaStateRaw.cuh and
+ * cuda/detail/UnpackRaw.cuh
+ * while you read this.)
+ *
+ * A CUDA graph containing multiple RNG ops behaves like a
+ * single giant kernel from the perspective of ops external
+ * to the graph.  During graph capture, logic in CUDAGeneratorImpl
+ * records the total of all offset increments that occur in the
+ * graphed region, and records the final total as the offset for
+ * the entire graph.
+ *
+ * When the graph reruns, the logic that reruns it
+ * increments this device's CUDA generator's offset
+ * by that total.
+ *
+ * Meanwhile, within the graph, at capture time, instead of
+ * populating PhiloxCudaStates with the uint64_t offset pulled
+ * directly from the global state, PhiloxCudaState uses a pointer
+ * to a one-element stream-local int64_t device tensor
+ * holding an initial offset value, and a uint64_t holding an
+ * intra-graph offset. (The intra-graph offset starts from zero
+ * when capture begins.)  In each consumer kernel,
+ * at::cuda::philox::unpack computes the offset to use for this kernel
+ * as intra-graph offset + *initial offset.
+ *
+ * When the graph reruns, the logic that reruns it first
+ * fill_s the initial offset tensor with this device's
+ * CUDA generator's current offset.
+ *
+ * The control flow above ensures graphed execution is bitwise
+ * identical to eager execution as long as RNG ops are enqueued
+ * from a single thread, even if RNG ops and graphs containing
+ * RNG ops are enqueued and run simultaneously on multiple streams.
+ *
+ * Usage:
+ * ~~~~~~
+ * PhiloxCudaState in this file, and unpack() in
+ * cuda/CUDAGraphsUtils.cuh allow non-divergent use of
+ * CUDAGeneratorImpl whether graph capture is underway or not.
+ *
+ * Each PhiloxCudaState instance should be used for one and only one
+ * consumer kernel.
+ *
+ * Example (see e.g. native/cuda/Dropout.cu):
+ *
+ * #include <ATen/cuda/CUDAGeneratorImpl.h>
+ * #include <ATen/cuda/CUDAGraphsUtils.cuh>
+ *
+ * __global__ void kernel(..., PhiloxCudaState philox_args) {
+ *   auto seeds = at::cuda::philox::unpack(philox_args);
+ *   IndexType idx = blockIdx.x * blockDim.x + threadIdx.x;
+ *   curandStatePhilox4_32_10_t state;
+ *   curand_init(std::get<0>(seeds), // seed
+ *               idx,                // per-thread subsequence
+ *               std::get<1>(seeds), // offset in subsequence
+ *               &state);
+ *   ...
+ * }
+ *
+ * host_caller(...) {
+ *   PhiloxCudaState rng_engine_inputs;
+ *   {
+ *     // See Note [Acquire lock when using random generators]
+ *     std::lock_guard<std::mutex> lock(gen->mutex_);
+ *
+ *     // gen could be HostState or DevState here! No divergent code needed!
+ *     rng_engine_inputs = gen->philox_cuda_state(offset_increment);
+ *   }
+ *   kernel<<<...>>>(..., rng_engine_inputs);
+ * }
+ *
+ */
+
+struct CUDAGeneratorState : public c10::intrusive_ptr_target {
+  uint64_t seed_;
+  uint64_t philox_offset_per_thread_;
+  uint32_t offset_intragraph_;
+  bool capturing_{};
+  std::unordered_set<cuda::CUDAGraph*> registered_graphs_;
+  at::TensorBase seed_extragraph_{};
+  at::TensorBase offset_extragraph_{};
+
+  CUDAGeneratorState(
+      uint64_t seed = default_rng_seed_val,
+      uint64_t philox_offset_per_thread = 0,
+      uint32_t offset_intragraph = 0)
+      : seed_(seed),
+        philox_offset_per_thread_(philox_offset_per_thread),
+        offset_intragraph_(offset_intragraph) {}
+
+  void increase(uint64_t increment);
+
+  void register_graph(cuda::CUDAGraph* graph);
+  void unregister_graph(cuda::CUDAGraph* graph);
+
+  void capture_prologue();
+  // capture_epilogue returns the wholegraph_increment
+  uint64_t capture_epilogue();
+  void replay_prologue(uint64_t wholegraph_increment);
+  c10::intrusive_ptr<CUDAGeneratorState> clone();
+};
+
+struct TORCH_CUDA_CPP_API CUDAGeneratorImpl : public c10::GeneratorImpl {
+  // Constructors
+  CUDAGeneratorImpl(DeviceIndex device_index = -1);
+  CUDAGeneratorImpl(
+      DeviceIndex device_index,
+      c10::intrusive_ptr<CUDAGeneratorState> state_);
+  ~CUDAGeneratorImpl() override = default;
+
+  // CUDAGeneratorImpl methods
+  std::shared_ptr<CUDAGeneratorImpl> clone() const;
+  void set_current_seed(uint64_t seed) override;
+  void set_offset(uint64_t offset) override;
+  uint64_t get_offset() const override;
+  uint64_t current_seed() const override;
+  uint64_t seed() override;
+  void set_state(const c10::TensorImpl& new_state) override;
+  c10::intrusive_ptr<c10::TensorImpl> get_state() const override;
+  void graphsafe_set_state(
+      const c10::intrusive_ptr<GeneratorImpl>& state) override;
+  c10::intrusive_ptr<c10::GeneratorImpl> graphsafe_get_state() const override;
+
+  void set_philox_offset_per_thread(uint64_t offset);
+  uint64_t philox_offset_per_thread() const;
+
+  void register_graph(cuda::CUDAGraph* graph);
+  void unregister_graph(cuda::CUDAGraph* graph);
+
+  // Generates a PhiloxCudaState with a specified increment, and increment
+  // current state
+  PhiloxCudaState philox_cuda_state(uint64_t increment);
+
+  bool reset_rnn_state() {
+    return !no_reset_rnn_state_.test_and_set();
+  }
+
+  // Temporarily accommodates call sites that use philox_engine_inputs.
+  // Allows incremental refactor of call sites to use philox_cuda_state.
+  std::pair<uint64_t, uint64_t> philox_engine_inputs(uint64_t increment);
+
+  static c10::DeviceType device_type();
+
+ private:
+  CUDAGeneratorImpl* clone_impl() const override;
+
+  c10::intrusive_ptr<CUDAGeneratorState> state_;
+  std::atomic_flag no_reset_rnn_state_;
+};
+
+namespace cuda::detail {
+
+TORCH_CUDA_CPP_API const Generator& getDefaultCUDAGenerator(
+    DeviceIndex device_index = -1);
+TORCH_CUDA_CPP_API Generator createCUDAGenerator(DeviceIndex device_index = -1);
+
+} // namespace cuda::detail
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDAGraph.h

@@ -0,0 +1,89 @@
+#pragma once
+
+#include <ATen/Tensor.h>
+#include <c10/core/Device.h>
+#include <c10/cuda/CUDAGraphsC10Utils.h>
+#include <c10/cuda/CUDAStream.h>
+#include <c10/util/flat_hash_map.h>
+
+namespace at {
+
+struct Generator;
+struct CUDAGeneratorImpl;
+struct CUDAGeneratorState;
+
+namespace cuda {
+
+// Standalone way to get a unique mempool id usable as a pool=... argument
+// to CUDAGraph::capture_begin
+TORCH_CUDA_CPP_API MempoolId_t graph_pool_handle();
+
+struct TORCH_CUDA_CPP_API CUDAGraph {
+  CUDAGraph();
+  ~CUDAGraph();
+
+  static void inc_pending_event_queries();
+  static void dec_pending_event_queries();
+  static int num_pending_event_queries();
+  // See Note [Explicit Registration of Generators to the CUDA Graph]
+  void register_generator_state(c10::intrusive_ptr<at::CUDAGeneratorState> state);
+  void register_generator_state(const at::Generator& generator);
+  void capture_begin(
+      MempoolId_t pool = {0, 0},
+      cudaStreamCaptureMode capture_mode = cudaStreamCaptureModeGlobal);
+  void capture_end();
+  void replay();
+  void reset();
+  MempoolId_t pool();
+  void enable_debug_mode();
+  void debug_dump(const std::string& debug_path);
+
+ protected:
+  cudaGraph_t graph_ = nullptr;
+  cudaGraphExec_t graph_exec_ = nullptr;
+
+  static std::atomic<int> pending_event_queries;
+
+  // internal states so reset() can do its best cleaning up
+  // Set to true in capture_end if cudaStreamEndCapture succeeded
+  // Set back to false soon after, when graph_ is consumed by cudaGraphInstantiate
+  // to create graph_exec_, then graph_ is deleted
+  bool has_graph_ = false;
+  // Set to true in capture_end if cudaGraphInstantiate succeeded
+  bool has_graph_exec_ = false;
+
+  // the ID assigned by cuda during graph capture,
+  // used to identify when a stream is participating in capture
+  CaptureId_t capture_id_ = -1;
+
+  // uuid used to request a particular private mempool from CUDACachingAllocator.
+  // By default, this will be set to {id_, 0}.
+  //
+  // If capture_begin is called with "pool=other_graph.pool()", this graph's mempool_id_
+  // will be set to the other graph's mempool_id_, and therefore share a mempool with the
+  // other graph.
+  //
+  // If capture_begin is called with "pool=handle" where "handle" came from graph_pool_handle(),
+  // it will share a mempool with any other captures that used "pool=handle".
+  //
+  // Sharing a mempool across graphs saves memory, and it's safe if you
+  // know you'll replay those graphs in the same order you captured them.
+  MempoolId_t mempool_id_;
+
+  // Stream on which capture began
+  at::cuda::CUDAStream capture_stream_;
+
+  // multiple generator states and their wholegraph_increments in this graph
+  // that are managed by the CUDA Graph
+  ska::flat_hash_map<c10::intrusive_ptr<at::CUDAGeneratorState>, uint64_t>
+      captured_generator_states_;
+
+  // Device where capture occurred. Right now, for simplicity, we require all ops
+  // in a capture to run on the same device, but this is a limitation of CUDAGraph,
+  // not CUDA itself.  We can straightforwardly modify CUDAGraph to support multi-device
+  // captures if needed.
+  int capture_dev_;
+};
+
+} // namespace cuda
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDAGraphsUtils.cuh

@@ -0,0 +1,53 @@
+#pragma once
+
+#include <ATen/cuda/CUDAGeneratorImpl.h>
+#include <ATen/cuda/CUDAEvent.h>
+#include <ATen/cuda/PhiloxUtils.cuh>
+#include <ATen/cuda/detail/CUDAHooks.h>
+#include <ATen/detail/CUDAHooksInterface.h>
+#include <c10/core/StreamGuard.h>
+#include <c10/cuda/CUDAGraphsC10Utils.h>
+#include <c10/cuda/CUDAGuard.h>
+
+// c10/cuda/CUDAGraphsC10Utils.h has utils used by both c10 and aten.
+// This file adds utils used by aten only.
+
+namespace at::cuda {
+
+using CaptureId_t = c10::cuda::CaptureId_t;
+using CaptureStatus = c10::cuda::CaptureStatus;
+
+// Use this version where you don't want to create a CUDA context if none exists.
+inline CaptureStatus currentStreamCaptureStatus() {
+  // don't create a context if we don't have to
+  if (c10::cuda::hasPrimaryContext(c10::cuda::current_device())) {
+    return c10::cuda::currentStreamCaptureStatusMayInitCtx();
+  } else {
+    return CaptureStatus::None;
+  }
+}
+
+inline void assertNotCapturing(const std::string& attempt) {
+  auto status = currentStreamCaptureStatus();
+  TORCH_CHECK(status == CaptureStatus::None,
+              attempt,
+              " during CUDA graph capture. If you need this call to be captured, "
+              "please file an issue. "
+              "Current cudaStreamCaptureStatus: ",
+              status);
+}
+
+inline void errorIfCapturingCudnnBenchmark(const std::string& version_specific) {
+  auto status = currentStreamCaptureStatus();
+  TORCH_CHECK(status == CaptureStatus::None,
+              "Current cudaStreamCaptureStatus: ",
+              status,
+              "\nCapturing ",
+              version_specific,
+              "is prohibited. Possible causes of this error:\n"
+              "1. No warmup iterations occurred before capture.\n"
+              "2. The convolutions you're trying to capture use dynamic shapes, "
+              "in which case capturing them is generally prohibited.");
+}
+
+} // namespace at::cuda

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDASparse.h

@@ -0,0 +1,75 @@
+#pragma once
+
+#include <ATen/cuda/CUDAContext.h>
+#if defined(USE_ROCM)
+#include <hipsparse/hipsparse-version.h>
+#define HIPSPARSE_VERSION ((hipsparseVersionMajor*100000) + (hipsparseVersionMinor*100) + hipsparseVersionPatch)
+#endif
+
+// cuSparse Generic API added in CUDA 10.1
+// Windows support added in CUDA 11.0
+#if defined(CUDART_VERSION) && defined(CUSPARSE_VERSION) && ((CUSPARSE_VERSION >= 10300) || (CUSPARSE_VERSION >= 11000 && defined(_WIN32)))
+#define AT_USE_CUSPARSE_GENERIC_API() 1
+#else
+#define AT_USE_CUSPARSE_GENERIC_API() 0
+#endif
+
+// cuSparse Generic API descriptor pointers were changed to const in CUDA 12.0
+#if defined(CUDART_VERSION) && defined(CUSPARSE_VERSION) && \
+    (CUSPARSE_VERSION < 12000)
+#define AT_USE_CUSPARSE_NON_CONST_DESCRIPTORS() 1
+#else
+#define AT_USE_CUSPARSE_NON_CONST_DESCRIPTORS() 0
+#endif
+
+#if defined(CUDART_VERSION) && defined(CUSPARSE_VERSION) && \
+    (CUSPARSE_VERSION >= 12000)
+#define AT_USE_CUSPARSE_CONST_DESCRIPTORS() 1
+#else
+#define AT_USE_CUSPARSE_CONST_DESCRIPTORS() 0
+#endif
+
+#if defined(USE_ROCM)
+// hipSparse const API added in v2.4.0
+#if HIPSPARSE_VERSION >= 200400
+#define AT_USE_HIPSPARSE_CONST_DESCRIPTORS() 1
+#define AT_USE_HIPSPARSE_NON_CONST_DESCRIPTORS() 0
+#define AT_USE_HIPSPARSE_GENERIC_API() 1
+#else
+#define AT_USE_HIPSPARSE_CONST_DESCRIPTORS() 0
+#define AT_USE_HIPSPARSE_NON_CONST_DESCRIPTORS() 1
+#define AT_USE_HIPSPARSE_GENERIC_API() 1
+#endif
+#else // USE_ROCM
+#define AT_USE_HIPSPARSE_CONST_DESCRIPTORS() 0
+#define AT_USE_HIPSPARSE_NON_CONST_DESCRIPTORS() 0
+#define AT_USE_HIPSPARSE_GENERIC_API() 0
+#endif // USE_ROCM
+
+// cuSparse Generic API spsv function was added in CUDA 11.3.0
+#if defined(CUDART_VERSION) && defined(CUSPARSE_VERSION) && (CUSPARSE_VERSION >= 11500)
+#define AT_USE_CUSPARSE_GENERIC_SPSV() 1
+#else
+#define AT_USE_CUSPARSE_GENERIC_SPSV() 0
+#endif
+
+// cuSparse Generic API spsm function was added in CUDA 11.3.1
+#if defined(CUDART_VERSION) && defined(CUSPARSE_VERSION) && (CUSPARSE_VERSION >= 11600)
+#define AT_USE_CUSPARSE_GENERIC_SPSM() 1
+#else
+#define AT_USE_CUSPARSE_GENERIC_SPSM() 0
+#endif
+
+// cuSparse Generic API sddmm function was added in CUDA 11.2.1 (cuSparse version 11400)
+#if defined(CUDART_VERSION) && defined(CUSPARSE_VERSION) && (CUSPARSE_VERSION >= 11400)
+#define AT_USE_CUSPARSE_GENERIC_SDDMM() 1
+#else
+#define AT_USE_CUSPARSE_GENERIC_SDDMM() 0
+#endif
+
+// BSR triangular solve functions were added in hipSPARSE 1.11.2 (ROCm 4.5.0)
+#if defined(CUDART_VERSION) || defined(USE_ROCM)
+#define AT_USE_HIPSPARSE_TRIANGULAR_SOLVE() 1
+#else
+#define AT_USE_HIPSPARSE_TRIANGULAR_SOLVE() 0
+#endif

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDASparseBlas.h

@@ -0,0 +1,318 @@
+#pragma once
+
+/*
+  Provides a subset of cuSPARSE functions as templates:
+
+    csrgeam2<scalar_t>(...)
+
+  where scalar_t is double, float, c10::complex<double> or c10::complex<float>.
+  The functions are available in at::cuda::sparse namespace.
+*/
+
+#include <ATen/cuda/CUDAContext.h>
+#include <ATen/cuda/CUDASparse.h>
+
+namespace at::cuda::sparse {
+
+#define CUSPARSE_CSRGEAM2_BUFFERSIZE_ARGTYPES(scalar_t)             \
+  cusparseHandle_t handle, int m, int n, const scalar_t *alpha,     \
+      const cusparseMatDescr_t descrA, int nnzA,                    \
+      const scalar_t *csrSortedValA, const int *csrSortedRowPtrA,   \
+      const int *csrSortedColIndA, const scalar_t *beta,            \
+      const cusparseMatDescr_t descrB, int nnzB,                    \
+      const scalar_t *csrSortedValB, const int *csrSortedRowPtrB,   \
+      const int *csrSortedColIndB, const cusparseMatDescr_t descrC, \
+      const scalar_t *csrSortedValC, const int *csrSortedRowPtrC,   \
+      const int *csrSortedColIndC, size_t *pBufferSizeInBytes
+
+template <typename scalar_t>
+inline void csrgeam2_bufferSizeExt(
+    CUSPARSE_CSRGEAM2_BUFFERSIZE_ARGTYPES(scalar_t)) {
+  TORCH_INTERNAL_ASSERT(
+      false,
+      "at::cuda::sparse::csrgeam2_bufferSizeExt: not implemented for ",
+      typeid(scalar_t).name());
+}
+
+template <>
+void csrgeam2_bufferSizeExt<float>(
+    CUSPARSE_CSRGEAM2_BUFFERSIZE_ARGTYPES(float));
+template <>
+void csrgeam2_bufferSizeExt<double>(
+    CUSPARSE_CSRGEAM2_BUFFERSIZE_ARGTYPES(double));
+template <>
+void csrgeam2_bufferSizeExt<c10::complex<float>>(
+    CUSPARSE_CSRGEAM2_BUFFERSIZE_ARGTYPES(c10::complex<float>));
+template <>
+void csrgeam2_bufferSizeExt<c10::complex<double>>(
+    CUSPARSE_CSRGEAM2_BUFFERSIZE_ARGTYPES(c10::complex<double>));
+
+#define CUSPARSE_CSRGEAM2_NNZ_ARGTYPES()                                      \
+  cusparseHandle_t handle, int m, int n, const cusparseMatDescr_t descrA,     \
+      int nnzA, const int *csrSortedRowPtrA, const int *csrSortedColIndA,     \
+      const cusparseMatDescr_t descrB, int nnzB, const int *csrSortedRowPtrB, \
+      const int *csrSortedColIndB, const cusparseMatDescr_t descrC,           \
+      int *csrSortedRowPtrC, int *nnzTotalDevHostPtr, void *workspace
+
+template <typename scalar_t>
+inline void csrgeam2Nnz(CUSPARSE_CSRGEAM2_NNZ_ARGTYPES()) {
+  TORCH_CUDASPARSE_CHECK(cusparseXcsrgeam2Nnz(
+      handle,
+      m,
+      n,
+      descrA,
+      nnzA,
+      csrSortedRowPtrA,
+      csrSortedColIndA,
+      descrB,
+      nnzB,
+      csrSortedRowPtrB,
+      csrSortedColIndB,
+      descrC,
+      csrSortedRowPtrC,
+      nnzTotalDevHostPtr,
+      workspace));
+}
+
+#define CUSPARSE_CSRGEAM2_ARGTYPES(scalar_t)                                 \
+  cusparseHandle_t handle, int m, int n, const scalar_t *alpha,              \
+      const cusparseMatDescr_t descrA, int nnzA,                             \
+      const scalar_t *csrSortedValA, const int *csrSortedRowPtrA,            \
+      const int *csrSortedColIndA, const scalar_t *beta,                     \
+      const cusparseMatDescr_t descrB, int nnzB,                             \
+      const scalar_t *csrSortedValB, const int *csrSortedRowPtrB,            \
+      const int *csrSortedColIndB, const cusparseMatDescr_t descrC,          \
+      scalar_t *csrSortedValC, int *csrSortedRowPtrC, int *csrSortedColIndC, \
+      void *pBuffer
+
+template <typename scalar_t>
+inline void csrgeam2(CUSPARSE_CSRGEAM2_ARGTYPES(scalar_t)) {
+  TORCH_INTERNAL_ASSERT(
+      false,
+      "at::cuda::sparse::csrgeam2: not implemented for ",
+      typeid(scalar_t).name());
+}
+
+template <>
+void csrgeam2<float>(CUSPARSE_CSRGEAM2_ARGTYPES(float));
+template <>
+void csrgeam2<double>(CUSPARSE_CSRGEAM2_ARGTYPES(double));
+template <>
+void csrgeam2<c10::complex<float>>(
+    CUSPARSE_CSRGEAM2_ARGTYPES(c10::complex<float>));
+template <>
+void csrgeam2<c10::complex<double>>(
+    CUSPARSE_CSRGEAM2_ARGTYPES(c10::complex<double>));
+
+#define CUSPARSE_BSRMM_ARGTYPES(scalar_t)                                    \
+  cusparseHandle_t handle, cusparseDirection_t dirA,                         \
+      cusparseOperation_t transA, cusparseOperation_t transB, int mb, int n, \
+      int kb, int nnzb, const scalar_t *alpha,                               \
+      const cusparseMatDescr_t descrA, const scalar_t *bsrValA,              \
+      const int *bsrRowPtrA, const int *bsrColIndA, int blockDim,            \
+      const scalar_t *B, int ldb, const scalar_t *beta, scalar_t *C, int ldc
+
+template <typename scalar_t>
+inline void bsrmm(CUSPARSE_BSRMM_ARGTYPES(scalar_t)) {
+  TORCH_INTERNAL_ASSERT(
+      false,
+      "at::cuda::sparse::bsrmm: not implemented for ",
+      typeid(scalar_t).name());
+}
+
+template <>
+void bsrmm<float>(CUSPARSE_BSRMM_ARGTYPES(float));
+template <>
+void bsrmm<double>(CUSPARSE_BSRMM_ARGTYPES(double));
+template <>
+void bsrmm<c10::complex<float>>(CUSPARSE_BSRMM_ARGTYPES(c10::complex<float>));
+template <>
+void bsrmm<c10::complex<double>>(CUSPARSE_BSRMM_ARGTYPES(c10::complex<double>));
+
+#define CUSPARSE_BSRMV_ARGTYPES(scalar_t)                                    \
+  cusparseHandle_t handle, cusparseDirection_t dirA,                         \
+      cusparseOperation_t transA, int mb, int nb, int nnzb,                  \
+      const scalar_t *alpha, const cusparseMatDescr_t descrA,                \
+      const scalar_t *bsrValA, const int *bsrRowPtrA, const int *bsrColIndA, \
+      int blockDim, const scalar_t *x, const scalar_t *beta, scalar_t *y
+
+template <typename scalar_t>
+inline void bsrmv(CUSPARSE_BSRMV_ARGTYPES(scalar_t)) {
+  TORCH_INTERNAL_ASSERT(
+      false,
+      "at::cuda::sparse::bsrmv: not implemented for ",
+      typeid(scalar_t).name());
+}
+
+template <>
+void bsrmv<float>(CUSPARSE_BSRMV_ARGTYPES(float));
+template <>
+void bsrmv<double>(CUSPARSE_BSRMV_ARGTYPES(double));
+template <>
+void bsrmv<c10::complex<float>>(CUSPARSE_BSRMV_ARGTYPES(c10::complex<float>));
+template <>
+void bsrmv<c10::complex<double>>(CUSPARSE_BSRMV_ARGTYPES(c10::complex<double>));
+
+#if AT_USE_HIPSPARSE_TRIANGULAR_SOLVE()
+
+#define CUSPARSE_BSRSV2_BUFFER_ARGTYPES(scalar_t)                 \
+  cusparseHandle_t handle, cusparseDirection_t dirA,              \
+      cusparseOperation_t transA, int mb, int nnzb,               \
+      const cusparseMatDescr_t descrA, scalar_t *bsrValA,         \
+      const int *bsrRowPtrA, const int *bsrColIndA, int blockDim, \
+      bsrsv2Info_t info, int *pBufferSizeInBytes
+
+template <typename scalar_t>
+inline void bsrsv2_bufferSize(CUSPARSE_BSRSV2_BUFFER_ARGTYPES(scalar_t)) {
+  TORCH_INTERNAL_ASSERT(
+      false,
+      "at::cuda::sparse::bsrsv2_bufferSize: not implemented for ",
+      typeid(scalar_t).name());
+}
+
+template <>
+void bsrsv2_bufferSize<float>(CUSPARSE_BSRSV2_BUFFER_ARGTYPES(float));
+template <>
+void bsrsv2_bufferSize<double>(CUSPARSE_BSRSV2_BUFFER_ARGTYPES(double));
+template <>
+void bsrsv2_bufferSize<c10::complex<float>>(
+    CUSPARSE_BSRSV2_BUFFER_ARGTYPES(c10::complex<float>));
+template <>
+void bsrsv2_bufferSize<c10::complex<double>>(
+    CUSPARSE_BSRSV2_BUFFER_ARGTYPES(c10::complex<double>));
+
+#define CUSPARSE_BSRSV2_ANALYSIS_ARGTYPES(scalar_t)               \
+  cusparseHandle_t handle, cusparseDirection_t dirA,              \
+      cusparseOperation_t transA, int mb, int nnzb,               \
+      const cusparseMatDescr_t descrA, const scalar_t *bsrValA,   \
+      const int *bsrRowPtrA, const int *bsrColIndA, int blockDim, \
+      bsrsv2Info_t info, cusparseSolvePolicy_t policy, void *pBuffer
+
+template <typename scalar_t>
+inline void bsrsv2_analysis(CUSPARSE_BSRSV2_ANALYSIS_ARGTYPES(scalar_t)) {
+  TORCH_INTERNAL_ASSERT(
+      false,
+      "at::cuda::sparse::bsrsv2_analysis: not implemented for ",
+      typeid(scalar_t).name());
+}
+
+template <>
+void bsrsv2_analysis<float>(CUSPARSE_BSRSV2_ANALYSIS_ARGTYPES(float));
+template <>
+void bsrsv2_analysis<double>(CUSPARSE_BSRSV2_ANALYSIS_ARGTYPES(double));
+template <>
+void bsrsv2_analysis<c10::complex<float>>(
+    CUSPARSE_BSRSV2_ANALYSIS_ARGTYPES(c10::complex<float>));
+template <>
+void bsrsv2_analysis<c10::complex<double>>(
+    CUSPARSE_BSRSV2_ANALYSIS_ARGTYPES(c10::complex<double>));
+
+#define CUSPARSE_BSRSV2_SOLVE_ARGTYPES(scalar_t)                           \
+  cusparseHandle_t handle, cusparseDirection_t dirA,                       \
+      cusparseOperation_t transA, int mb, int nnzb, const scalar_t *alpha, \
+      const cusparseMatDescr_t descrA, const scalar_t *bsrValA,            \
+      const int *bsrRowPtrA, const int *bsrColIndA, int blockDim,          \
+      bsrsv2Info_t info, const scalar_t *x, scalar_t *y,                   \
+      cusparseSolvePolicy_t policy, void *pBuffer
+
+template <typename scalar_t>
+inline void bsrsv2_solve(CUSPARSE_BSRSV2_SOLVE_ARGTYPES(scalar_t)) {
+  TORCH_INTERNAL_ASSERT(
+      false,
+      "at::cuda::sparse::bsrsv2_solve: not implemented for ",
+      typeid(scalar_t).name());
+}
+
+template <>
+void bsrsv2_solve<float>(CUSPARSE_BSRSV2_SOLVE_ARGTYPES(float));
+template <>
+void bsrsv2_solve<double>(CUSPARSE_BSRSV2_SOLVE_ARGTYPES(double));
+template <>
+void bsrsv2_solve<c10::complex<float>>(
+    CUSPARSE_BSRSV2_SOLVE_ARGTYPES(c10::complex<float>));
+template <>
+void bsrsv2_solve<c10::complex<double>>(
+    CUSPARSE_BSRSV2_SOLVE_ARGTYPES(c10::complex<double>));
+
+#define CUSPARSE_BSRSM2_BUFFER_ARGTYPES(scalar_t)                            \
+  cusparseHandle_t handle, cusparseDirection_t dirA,                         \
+      cusparseOperation_t transA, cusparseOperation_t transX, int mb, int n, \
+      int nnzb, const cusparseMatDescr_t descrA, scalar_t *bsrValA,          \
+      const int *bsrRowPtrA, const int *bsrColIndA, int blockDim,            \
+      bsrsm2Info_t info, int *pBufferSizeInBytes
+
+template <typename scalar_t>
+inline void bsrsm2_bufferSize(CUSPARSE_BSRSM2_BUFFER_ARGTYPES(scalar_t)) {
+  TORCH_INTERNAL_ASSERT(
+      false,
+      "at::cuda::sparse::bsrsm2_bufferSize: not implemented for ",
+      typeid(scalar_t).name());
+}
+
+template <>
+void bsrsm2_bufferSize<float>(CUSPARSE_BSRSM2_BUFFER_ARGTYPES(float));
+template <>
+void bsrsm2_bufferSize<double>(CUSPARSE_BSRSM2_BUFFER_ARGTYPES(double));
+template <>
+void bsrsm2_bufferSize<c10::complex<float>>(
+    CUSPARSE_BSRSM2_BUFFER_ARGTYPES(c10::complex<float>));
+template <>
+void bsrsm2_bufferSize<c10::complex<double>>(
+    CUSPARSE_BSRSM2_BUFFER_ARGTYPES(c10::complex<double>));
+
+#define CUSPARSE_BSRSM2_ANALYSIS_ARGTYPES(scalar_t)                          \
+  cusparseHandle_t handle, cusparseDirection_t dirA,                         \
+      cusparseOperation_t transA, cusparseOperation_t transX, int mb, int n, \
+      int nnzb, const cusparseMatDescr_t descrA, const scalar_t *bsrValA,    \
+      const int *bsrRowPtrA, const int *bsrColIndA, int blockDim,            \
+      bsrsm2Info_t info, cusparseSolvePolicy_t policy, void *pBuffer
+
+template <typename scalar_t>
+inline void bsrsm2_analysis(CUSPARSE_BSRSM2_ANALYSIS_ARGTYPES(scalar_t)) {
+  TORCH_INTERNAL_ASSERT(
+      false,
+      "at::cuda::sparse::bsrsm2_analysis: not implemented for ",
+      typeid(scalar_t).name());
+}
+
+template <>
+void bsrsm2_analysis<float>(CUSPARSE_BSRSM2_ANALYSIS_ARGTYPES(float));
+template <>
+void bsrsm2_analysis<double>(CUSPARSE_BSRSM2_ANALYSIS_ARGTYPES(double));
+template <>
+void bsrsm2_analysis<c10::complex<float>>(
+    CUSPARSE_BSRSM2_ANALYSIS_ARGTYPES(c10::complex<float>));
+template <>
+void bsrsm2_analysis<c10::complex<double>>(
+    CUSPARSE_BSRSM2_ANALYSIS_ARGTYPES(c10::complex<double>));
+
+#define CUSPARSE_BSRSM2_SOLVE_ARGTYPES(scalar_t)                             \
+  cusparseHandle_t handle, cusparseDirection_t dirA,                         \
+      cusparseOperation_t transA, cusparseOperation_t transX, int mb, int n, \
+      int nnzb, const scalar_t *alpha, const cusparseMatDescr_t descrA,      \
+      const scalar_t *bsrValA, const int *bsrRowPtrA, const int *bsrColIndA, \
+      int blockDim, bsrsm2Info_t info, const scalar_t *B, int ldb,           \
+      scalar_t *X, int ldx, cusparseSolvePolicy_t policy, void *pBuffer
+
+template <typename scalar_t>
+inline void bsrsm2_solve(CUSPARSE_BSRSM2_SOLVE_ARGTYPES(scalar_t)) {
+  TORCH_INTERNAL_ASSERT(
+      false,
+      "at::cuda::sparse::bsrsm2_solve: not implemented for ",
+      typeid(scalar_t).name());
+}
+
+template <>
+void bsrsm2_solve<float>(CUSPARSE_BSRSM2_SOLVE_ARGTYPES(float));
+template <>
+void bsrsm2_solve<double>(CUSPARSE_BSRSM2_SOLVE_ARGTYPES(double));
+template <>
+void bsrsm2_solve<c10::complex<float>>(
+    CUSPARSE_BSRSM2_SOLVE_ARGTYPES(c10::complex<float>));
+template <>
+void bsrsm2_solve<c10::complex<double>>(
+    CUSPARSE_BSRSM2_SOLVE_ARGTYPES(c10::complex<double>));
+
+#endif // AT_USE_HIPSPARSE_TRIANGULAR_SOLVE
+
+} // namespace at::cuda::sparse

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDASparseDescriptors.h

@@ -0,0 +1,288 @@
+#pragma once
+
+#include <ATen/Tensor.h>
+#include <ATen/cuda/CUDAContext.h>
+#include <ATen/cuda/CUDASparse.h>
+
+#include <c10/core/ScalarType.h>
+
+#if defined(USE_ROCM)
+#include <type_traits>
+#endif
+
+namespace at::cuda::sparse {
+
+template <typename T, cusparseStatus_t (*destructor)(T*)>
+struct CuSparseDescriptorDeleter {
+  void operator()(T* x) {
+    if (x != nullptr) {
+      TORCH_CUDASPARSE_CHECK(destructor(x));
+    }
+  }
+};
+
+template <typename T, cusparseStatus_t (*destructor)(T*)>
+class CuSparseDescriptor {
+ public:
+  T* descriptor() const {
+    return descriptor_.get();
+  }
+  T* descriptor() {
+    return descriptor_.get();
+  }
+
+ protected:
+  std::unique_ptr<T, CuSparseDescriptorDeleter<T, destructor>> descriptor_;
+};
+
+#if AT_USE_CUSPARSE_CONST_DESCRIPTORS() || AT_USE_HIPSPARSE_CONST_DESCRIPTORS()
+template <typename T, cusparseStatus_t (*destructor)(const T*)>
+struct ConstCuSparseDescriptorDeleter {
+  void operator()(T* x) {
+    if (x != nullptr) {
+      TORCH_CUDASPARSE_CHECK(destructor(x));
+    }
+  }
+};
+
+template <typename T, cusparseStatus_t (*destructor)(const T*)>
+class ConstCuSparseDescriptor {
+ public:
+  T* descriptor() const {
+    return descriptor_.get();
+  }
+  T* descriptor() {
+    return descriptor_.get();
+  }
+
+ protected:
+  std::unique_ptr<T, ConstCuSparseDescriptorDeleter<T, destructor>> descriptor_;
+};
+#endif // AT_USE_CUSPARSE_CONST_DESCRIPTORS || AT_USE_HIPSPARSE_CONST_DESCRIPTORS
+
+#if defined(USE_ROCM)
+using cusparseMatDescr = std::remove_pointer<hipsparseMatDescr_t>::type;
+using cusparseDnMatDescr = std::remove_pointer<hipsparseDnMatDescr_t>::type;
+using cusparseDnVecDescr = std::remove_pointer<hipsparseDnVecDescr_t>::type;
+using cusparseSpMatDescr = std::remove_pointer<hipsparseSpMatDescr_t>::type;
+using cusparseSpMatDescr = std::remove_pointer<hipsparseSpMatDescr_t>::type;
+using cusparseSpGEMMDescr = std::remove_pointer<hipsparseSpGEMMDescr_t>::type;
+#if AT_USE_HIPSPARSE_TRIANGULAR_SOLVE()
+using bsrsv2Info = std::remove_pointer<bsrsv2Info_t>::type;
+using bsrsm2Info = std::remove_pointer<bsrsm2Info_t>::type;
+#endif
+#endif
+
+// NOTE: This is only needed for CUDA 11 and earlier, since CUDA 12 introduced
+// API for const descriptors
+cusparseStatus_t destroyConstDnMat(const cusparseDnMatDescr* dnMatDescr);
+
+class TORCH_CUDA_CPP_API CuSparseMatDescriptor
+    : public CuSparseDescriptor<cusparseMatDescr, &cusparseDestroyMatDescr> {
+ public:
+  CuSparseMatDescriptor() {
+    cusparseMatDescr_t raw_descriptor = nullptr;
+    TORCH_CUDASPARSE_CHECK(cusparseCreateMatDescr(&raw_descriptor));
+    descriptor_.reset(raw_descriptor);
+  }
+
+  CuSparseMatDescriptor(bool upper, bool unit) {
+    cusparseFillMode_t fill_mode =
+        upper ? CUSPARSE_FILL_MODE_UPPER : CUSPARSE_FILL_MODE_LOWER;
+    cusparseDiagType_t diag_type =
+        unit ? CUSPARSE_DIAG_TYPE_UNIT : CUSPARSE_DIAG_TYPE_NON_UNIT;
+    cusparseMatDescr_t raw_descriptor = nullptr;
+    TORCH_CUDASPARSE_CHECK(cusparseCreateMatDescr(&raw_descriptor));
+    TORCH_CUDASPARSE_CHECK(cusparseSetMatFillMode(raw_descriptor, fill_mode));
+    TORCH_CUDASPARSE_CHECK(cusparseSetMatDiagType(raw_descriptor, diag_type));
+    descriptor_.reset(raw_descriptor);
+  }
+};
+
+#if AT_USE_HIPSPARSE_TRIANGULAR_SOLVE()
+
+class TORCH_CUDA_CPP_API CuSparseBsrsv2Info
+    : public CuSparseDescriptor<bsrsv2Info, &cusparseDestroyBsrsv2Info> {
+ public:
+  CuSparseBsrsv2Info() {
+    bsrsv2Info_t raw_descriptor = nullptr;
+    TORCH_CUDASPARSE_CHECK(cusparseCreateBsrsv2Info(&raw_descriptor));
+    descriptor_.reset(raw_descriptor);
+  }
+};
+
+class TORCH_CUDA_CPP_API CuSparseBsrsm2Info
+    : public CuSparseDescriptor<bsrsm2Info, &cusparseDestroyBsrsm2Info> {
+ public:
+  CuSparseBsrsm2Info() {
+    bsrsm2Info_t raw_descriptor = nullptr;
+    TORCH_CUDASPARSE_CHECK(cusparseCreateBsrsm2Info(&raw_descriptor));
+    descriptor_.reset(raw_descriptor);
+  }
+};
+
+#endif // AT_USE_HIPSPARSE_TRIANGULAR_SOLVE
+
+#if AT_USE_CUSPARSE_GENERIC_API() || AT_USE_HIPSPARSE_GENERIC_API()
+
+cusparseIndexType_t getCuSparseIndexType(const c10::ScalarType& scalar_type);
+
+#if AT_USE_CUSPARSE_NON_CONST_DESCRIPTORS() || AT_USE_HIPSPARSE_NON_CONST_DESCRIPTORS()
+class TORCH_CUDA_CPP_API CuSparseDnMatDescriptor
+    : public CuSparseDescriptor<cusparseDnMatDescr, &cusparseDestroyDnMat> {
+ public:
+  explicit CuSparseDnMatDescriptor(const Tensor& input, int64_t batch_offset = -1);
+};
+
+class TORCH_CUDA_CPP_API CuSparseConstDnMatDescriptor
+    : public CuSparseDescriptor<const cusparseDnMatDescr, &destroyConstDnMat> {
+ public:
+  explicit CuSparseConstDnMatDescriptor(const Tensor& input, int64_t batch_offset = -1);
+  cusparseDnMatDescr* unsafe_mutable_descriptor() const {
+    return const_cast<cusparseDnMatDescr*>(descriptor());
+  }
+  cusparseDnMatDescr* unsafe_mutable_descriptor() {
+    return const_cast<cusparseDnMatDescr*>(descriptor());
+  }
+};
+
+class TORCH_CUDA_CPP_API CuSparseDnVecDescriptor
+    : public CuSparseDescriptor<cusparseDnVecDescr, &cusparseDestroyDnVec> {
+ public:
+  explicit CuSparseDnVecDescriptor(const Tensor& input);
+};
+
+class TORCH_CUDA_CPP_API CuSparseSpMatDescriptor
+    : public CuSparseDescriptor<cusparseSpMatDescr, &cusparseDestroySpMat> {};
+
+#elif AT_USE_CUSPARSE_CONST_DESCRIPTORS() || AT_USE_HIPSPARSE_CONST_DESCRIPTORS()
+  class TORCH_CUDA_CPP_API CuSparseDnMatDescriptor
+      : public ConstCuSparseDescriptor<
+            cusparseDnMatDescr,
+            &cusparseDestroyDnMat> {
+   public:
+    explicit CuSparseDnMatDescriptor(
+        const Tensor& input,
+        int64_t batch_offset = -1);
+  };
+
+  class TORCH_CUDA_CPP_API CuSparseConstDnMatDescriptor
+      : public ConstCuSparseDescriptor<
+            const cusparseDnMatDescr,
+            &destroyConstDnMat> {
+   public:
+    explicit CuSparseConstDnMatDescriptor(
+        const Tensor& input,
+        int64_t batch_offset = -1);
+  cusparseDnMatDescr* unsafe_mutable_descriptor() const {
+    return const_cast<cusparseDnMatDescr*>(descriptor());
+  }
+  cusparseDnMatDescr* unsafe_mutable_descriptor() {
+    return const_cast<cusparseDnMatDescr*>(descriptor());
+  }
+  };
+
+  class TORCH_CUDA_CPP_API CuSparseDnVecDescriptor
+      : public ConstCuSparseDescriptor<
+            cusparseDnVecDescr,
+            &cusparseDestroyDnVec> {
+   public:
+    explicit CuSparseDnVecDescriptor(const Tensor& input);
+  };
+
+  class TORCH_CUDA_CPP_API CuSparseSpMatDescriptor
+      : public ConstCuSparseDescriptor<
+            cusparseSpMatDescr,
+            &cusparseDestroySpMat> {};
+#endif // AT_USE_CUSPARSE_CONST_DESCRIPTORS() || AT_USE_HIPSPARSE_CONST_DESCRIPTORS()
+
+class TORCH_CUDA_CPP_API CuSparseSpMatCsrDescriptor
+    : public CuSparseSpMatDescriptor {
+ public:
+  explicit CuSparseSpMatCsrDescriptor(const Tensor& input, int64_t batch_offset = -1);
+
+  std::tuple<int64_t, int64_t, int64_t> get_size() {
+    int64_t rows = 0, cols = 0, nnz = 0;
+    TORCH_CUDASPARSE_CHECK(cusparseSpMatGetSize(
+        this->descriptor(),
+        &rows,
+        &cols,
+        &nnz));
+    return std::make_tuple(rows, cols, nnz);
+  }
+
+  void set_tensor(const Tensor& input) {
+    auto crow_indices = input.crow_indices();
+    auto col_indices = input.col_indices();
+    auto values = input.values();
+
+    TORCH_INTERNAL_ASSERT_DEBUG_ONLY(crow_indices.is_contiguous());
+    TORCH_INTERNAL_ASSERT_DEBUG_ONLY(col_indices.is_contiguous());
+    TORCH_INTERNAL_ASSERT_DEBUG_ONLY(values.is_contiguous());
+    TORCH_CUDASPARSE_CHECK(cusparseCsrSetPointers(
+        this->descriptor(),
+        crow_indices.data_ptr(),
+        col_indices.data_ptr(),
+        values.data_ptr()));
+  }
+
+#if AT_USE_CUSPARSE_GENERIC_SPSV()
+  void set_mat_fill_mode(bool upper) {
+    cusparseFillMode_t fill_mode =
+        upper ? CUSPARSE_FILL_MODE_UPPER : CUSPARSE_FILL_MODE_LOWER;
+    TORCH_CUDASPARSE_CHECK(cusparseSpMatSetAttribute(
+        this->descriptor(),
+        CUSPARSE_SPMAT_FILL_MODE,
+        &fill_mode,
+        sizeof(fill_mode)));
+  }
+
+  void set_mat_diag_type(bool unit) {
+    cusparseDiagType_t diag_type =
+        unit ? CUSPARSE_DIAG_TYPE_UNIT : CUSPARSE_DIAG_TYPE_NON_UNIT;
+    TORCH_CUDASPARSE_CHECK(cusparseSpMatSetAttribute(
+        this->descriptor(),
+        CUSPARSE_SPMAT_DIAG_TYPE,
+        &diag_type,
+        sizeof(diag_type)));
+  }
+#endif
+};
+
+#if AT_USE_CUSPARSE_GENERIC_SPSV()
+class TORCH_CUDA_CPP_API CuSparseSpSVDescriptor
+    : public CuSparseDescriptor<cusparseSpSVDescr, &cusparseSpSV_destroyDescr> {
+ public:
+  CuSparseSpSVDescriptor() {
+    cusparseSpSVDescr_t raw_descriptor = nullptr;
+    TORCH_CUDASPARSE_CHECK(cusparseSpSV_createDescr(&raw_descriptor));
+    descriptor_.reset(raw_descriptor);
+  }
+};
+#endif
+
+#if AT_USE_CUSPARSE_GENERIC_SPSM()
+class TORCH_CUDA_CPP_API CuSparseSpSMDescriptor
+    : public CuSparseDescriptor<cusparseSpSMDescr, &cusparseSpSM_destroyDescr> {
+ public:
+  CuSparseSpSMDescriptor() {
+    cusparseSpSMDescr_t raw_descriptor = nullptr;
+    TORCH_CUDASPARSE_CHECK(cusparseSpSM_createDescr(&raw_descriptor));
+    descriptor_.reset(raw_descriptor);
+  }
+};
+#endif
+
+class TORCH_CUDA_CPP_API CuSparseSpGEMMDescriptor
+    : public CuSparseDescriptor<cusparseSpGEMMDescr, &cusparseSpGEMM_destroyDescr> {
+ public:
+  CuSparseSpGEMMDescriptor() {
+    cusparseSpGEMMDescr_t raw_descriptor = nullptr;
+    TORCH_CUDASPARSE_CHECK(cusparseSpGEMM_createDescr(&raw_descriptor));
+    descriptor_.reset(raw_descriptor);
+  }
+};
+
+#endif // AT_USE_CUSPARSE_GENERIC_API() || AT_USE_HIPSPARSE_GENERIC_API()
+
+} // namespace at::cuda::sparse

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDATensorMethods.cuh

@@ -0,0 +1,15 @@
+#pragma once
+
+#include <ATen/Tensor.h>
+#include <c10/util/Half.h>
+
+#include <cuda.h>
+#include <cuda_runtime.h>
+#include <cuda_fp16.h>
+
+namespace at {
+template <>
+inline __half* Tensor::data() const {
+  return reinterpret_cast<__half*>(data<Half>());
+}
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDAUtils.h

@@ -0,0 +1,20 @@
+#pragma once
+
+#include <ATen/cuda/CUDAContext.h>
+
+namespace at::cuda {
+
+// Check if every tensor in a list of tensors matches the current
+// device.
+inline bool check_device(ArrayRef<Tensor> ts) {
+  if (ts.empty()) {
+    return true;
+  }
+  Device curDevice = Device(kCUDA, current_device());
+  for (const Tensor& t : ts) {
+    if (t.device() != curDevice) return false;
+  }
+  return true;
+}
+
+} // namespace at::cuda

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/CachingHostAllocator.h

@@ -0,0 +1,37 @@
+#pragma once
+
+#include <ATen/core/CachingHostAllocator.h>
+#include <c10/core/Allocator.h>
+#include <c10/cuda/CUDAStream.h>
+
+namespace at::cuda {
+
+//
+// A caching allocator for CUDA host allocations (pinned memory).
+//
+// This provides a drop-in replacement for THCudaHostAllocator, which re-uses
+// freed pinned (page-locked) memory allocations. This avoids device
+// synchronizations due to cudaFreeHost calls.
+//
+// To ensure correct behavior, THCCachingHostAllocator_recordEvent must be
+// called anytime a pointer from this allocator is used in a cudaMemcpyAsync
+// call between host and device, and passed the corresponding context from the
+// allocation. This is currently invoked by at::native::copy_kernel_cuda.
+//
+TORCH_CUDA_CPP_API c10::Allocator* getCachingHostAllocator();
+
+// Records an event in the specified stream. The allocation corresponding to the
+// input `ptr`/`ctx` will not be re-used until the event has occurred.
+TORCH_CUDA_CPP_API bool CachingHostAllocator_recordEvent(
+    void* ptr,
+    void* ctx,
+    c10::cuda::CUDAStream stream);
+
+// Releases cached pinned memory allocations via cudaHostFree
+TORCH_CUDA_CPP_API void CachingHostAllocator_emptyCache();
+
+inline TORCH_CUDA_CPP_API at::DataPtr HostAlloc(size_t size) {
+  return getCachingHostAllocator()->allocate(size);
+}
+
+} // namespace at::cuda

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/DeviceUtils.cuh

@@ -0,0 +1,121 @@
+#pragma once
+
+#include <cuda.h>
+#include <c10/util/complex.h>
+#include <c10/util/Half.h>
+
+__device__ __forceinline__ unsigned int ACTIVE_MASK()
+{
+#if !defined(USE_ROCM)
+    return __activemask();
+#else
+// will be ignored anyway
+    return 0xffffffff;
+#endif
+}
+
+__device__ __forceinline__ void WARP_SYNC(unsigned mask = 0xffffffff) {
+#if !defined(USE_ROCM)
+  return __syncwarp(mask);
+#endif
+}
+
+#if defined(USE_ROCM)
+__device__ __forceinline__ unsigned long long int WARP_BALLOT(int predicate)
+{
+return __ballot(predicate);
+}
+#else
+__device__ __forceinline__ unsigned int WARP_BALLOT(int predicate, unsigned int mask = 0xffffffff)
+{
+#if !defined(USE_ROCM)
+    return __ballot_sync(mask, predicate);
+#else
+    return __ballot(predicate);
+#endif
+}
+#endif
+
+template <typename T>
+__device__ __forceinline__ T WARP_SHFL_XOR(T value, int laneMask, int width = warpSize, unsigned int mask = 0xffffffff)
+{
+#if !defined(USE_ROCM)
+    return __shfl_xor_sync(mask, value, laneMask, width);
+#else
+    return __shfl_xor(value, laneMask, width);
+#endif
+}
+
+template <typename T>
+__device__ __forceinline__ T WARP_SHFL(T value, int srcLane, int width = warpSize, unsigned int mask = 0xffffffff)
+{
+#if !defined(USE_ROCM)
+    return __shfl_sync(mask, value, srcLane, width);
+#else
+    return __shfl(value, srcLane, width);
+#endif
+}
+
+template <typename T>
+__device__ __forceinline__ T WARP_SHFL_UP(T value, unsigned int delta, int width = warpSize, unsigned int mask = 0xffffffff)
+{
+#if !defined(USE_ROCM)
+    return __shfl_up_sync(mask, value, delta, width);
+#else
+    return __shfl_up(value, delta, width);
+#endif
+}
+
+template <typename T>
+__device__ __forceinline__ T WARP_SHFL_DOWN(T value, unsigned int delta, int width = warpSize, unsigned int mask = 0xffffffff)
+{
+#if !defined(USE_ROCM)
+    return __shfl_down_sync(mask, value, delta, width);
+#else
+    return __shfl_down(value, delta, width);
+#endif
+}
+
+#if defined(USE_ROCM)
+template<>
+__device__ __forceinline__ int64_t WARP_SHFL_DOWN<int64_t>(int64_t value, unsigned int delta, int width , unsigned int mask)
+{
+  //(HIP doesn't support int64_t). Trick from https://devblogs.nvidia.com/faster-parallel-reductions-kepler/
+  int2 a = *reinterpret_cast<int2*>(&value);
+  a.x = __shfl_down(a.x, delta);
+  a.y = __shfl_down(a.y, delta);
+  return *reinterpret_cast<int64_t*>(&a);
+}
+#endif
+
+template<>
+__device__ __forceinline__ c10::Half WARP_SHFL_DOWN<c10::Half>(c10::Half value, unsigned int delta, int width, unsigned int mask)
+{
+  return c10::Half(WARP_SHFL_DOWN<unsigned short>(value.x, delta, width, mask), c10::Half::from_bits_t{});
+}
+
+template <typename T>
+__device__ __forceinline__ c10::complex<T> WARP_SHFL_DOWN(c10::complex<T> value, unsigned int delta, int width = warpSize, unsigned int mask = 0xffffffff)
+{
+#if !defined(USE_ROCM)
+    return c10::complex<T>(
+        __shfl_down_sync(mask, value.real_, delta, width),
+        __shfl_down_sync(mask, value.imag_, delta, width));
+#else
+    return c10::complex<T>(
+        __shfl_down(value.real_, delta, width),
+        __shfl_down(value.imag_, delta, width));
+#endif
+}
+
+/**
+ * For CC 3.5+, perform a load using __ldg
+ */
+template <typename T>
+__device__ __forceinline__ T doLdg(const T* p) {
+#if __CUDA_ARCH__ >= 350 && !defined(USE_ROCM)
+  return __ldg(p);
+#else
+  return *p;
+#endif
+}

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/EmptyTensor.h

@@ -0,0 +1,44 @@
+#pragma once
+#include <ATen/core/TensorBase.h>
+
+namespace at::detail {
+
+TORCH_CUDA_CPP_API TensorBase empty_cuda(
+    IntArrayRef size,
+    ScalarType dtype,
+    std::optional<Device> device_opt,
+    std::optional<c10::MemoryFormat> memory_format_opt);
+
+TORCH_CUDA_CPP_API TensorBase empty_cuda(
+    IntArrayRef size,
+    std::optional<ScalarType> dtype_opt,
+    std::optional<Layout> layout_opt,
+    std::optional<Device> device_opt,
+    std::optional<bool> pin_memory_opt,
+    std::optional<c10::MemoryFormat> memory_format_opt);
+
+TORCH_CUDA_CPP_API TensorBase empty_cuda(
+    IntArrayRef size,
+    const TensorOptions &options);
+
+TORCH_CUDA_CPP_API TensorBase empty_strided_cuda(
+    IntArrayRef size,
+    IntArrayRef stride,
+    ScalarType dtype,
+    std::optional<Device> device_opt);
+
+TORCH_CUDA_CPP_API TensorBase empty_strided_cuda(
+    IntArrayRef size,
+    IntArrayRef stride,
+    std::optional<ScalarType> dtype_opt,
+    std::optional<Layout> layout_opt,
+    std::optional<Device> device_opt,
+    std::optional<bool> pin_memory_opt);
+
+TORCH_CUDA_CPP_API TensorBase empty_strided_cuda(
+    IntArrayRef size,
+    IntArrayRef stride,
+    const TensorOptions &options);
+
+
+}  // namespace at::detail

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/Exceptions.h

@@ -0,0 +1,205 @@
+#pragma once
+
+#include <cublas_v2.h>
+#include <cusparse.h>
+#include <c10/macros/Export.h>
+
+#ifdef CUDART_VERSION
+#include <cusolver_common.h>
+#endif
+
+#if defined(USE_CUDSS)
+#include <cudss.h>
+#endif
+
+#include <ATen/Context.h>
+#include <c10/util/Exception.h>
+#include <c10/cuda/CUDAException.h>
+
+
+namespace c10 {
+
+class CuDNNError : public c10::Error {
+  using Error::Error;
+};
+
+}  // namespace c10
+
+#define AT_CUDNN_FRONTEND_CHECK(EXPR, ...)                                                      \
+  do {                                                                                          \
+    auto error_object = EXPR;                                                                   \
+    if (!error_object.is_good()) {                                                              \
+      TORCH_CHECK_WITH(CuDNNError, false,                                                       \
+            "cuDNN Frontend error: ", error_object.get_message());                              \
+    }                                                                                           \
+  } while (0)                                                                                   \
+
+#define AT_CUDNN_CHECK_WITH_SHAPES(EXPR, ...) AT_CUDNN_CHECK(EXPR, "\n", ##__VA_ARGS__)
+
+// See Note [CHECK macro]
+#define AT_CUDNN_CHECK(EXPR, ...)                                                               \
+  do {                                                                                          \
+    cudnnStatus_t status = EXPR;                                                                \
+    if (status != CUDNN_STATUS_SUCCESS) {                                                       \
+      if (status == CUDNN_STATUS_NOT_SUPPORTED) {                                               \
+        TORCH_CHECK_WITH(CuDNNError, false,                                                     \
+            "cuDNN error: ",                                                                    \
+            cudnnGetErrorString(status),                                                        \
+            ". This error may appear if you passed in a non-contiguous input.", ##__VA_ARGS__); \
+      } else {                                                                                  \
+        TORCH_CHECK_WITH(CuDNNError, false,                                                     \
+            "cuDNN error: ", cudnnGetErrorString(status), ##__VA_ARGS__);                       \
+      }                                                                                         \
+    }                                                                                           \
+  } while (0)
+
+namespace at::cuda::blas {
+C10_EXPORT const char* _cublasGetErrorEnum(cublasStatus_t error);
+} // namespace at::cuda::blas
+
+#define TORCH_CUDABLAS_CHECK(EXPR)                              \
+  do {                                                          \
+    cublasStatus_t __err = EXPR;                                \
+    TORCH_CHECK(__err == CUBLAS_STATUS_SUCCESS,                 \
+                "CUDA error: ",                                 \
+                at::cuda::blas::_cublasGetErrorEnum(__err),     \
+                " when calling `" #EXPR "`");                   \
+  } while (0)
+
+const char *cusparseGetErrorString(cusparseStatus_t status);
+
+#define TORCH_CUDASPARSE_CHECK(EXPR)                            \
+  do {                                                          \
+    cusparseStatus_t __err = EXPR;                              \
+    TORCH_CHECK(__err == CUSPARSE_STATUS_SUCCESS,               \
+                "CUDA error: ",                                 \
+                cusparseGetErrorString(__err),                  \
+                " when calling `" #EXPR "`");                   \
+  } while (0)
+
+#if defined(USE_CUDSS)
+namespace at::cuda::cudss {
+C10_EXPORT const char* cudssGetErrorMessage(cudssStatus_t error);
+} // namespace at::cuda::solver
+
+#define TORCH_CUDSS_CHECK(EXPR)                                         \
+  do {                                                                  \
+    cudssStatus_t __err = EXPR;                                         \
+    if (__err == CUDSS_STATUS_EXECUTION_FAILED) {                       \
+      TORCH_CHECK_LINALG(                                               \
+          false,                                                        \
+          "cudss error: ",                                              \
+          at::cuda::cudss::cudssGetErrorMessage(__err),                 \
+          ", when calling `" #EXPR "`",                                 \
+          ". This error may appear if the input matrix contains NaN. ");\
+    } else {                                                            \
+      TORCH_CHECK(                                                      \
+          __err == CUDSS_STATUS_SUCCESS,                                \
+          "cudss error: ",                                              \
+          at::cuda::cudss::cudssGetErrorMessage(__err),                 \
+          ", when calling `" #EXPR "`. ");                              \
+    }                                                                   \
+  } while (0)
+#else
+#define TORCH_CUDSS_CHECK(EXPR) EXPR
+#endif
+
+// cusolver related headers are only supported on cuda now
+#ifdef CUDART_VERSION
+
+namespace at::cuda::solver {
+C10_EXPORT const char* cusolverGetErrorMessage(cusolverStatus_t status);
+
+constexpr const char* _cusolver_backend_suggestion =            \
+  "If you keep seeing this error, you may use "                 \
+  "`torch.backends.cuda.preferred_linalg_library()` to try "    \
+  "linear algebra operators with other supported backends. "    \
+  "See https://pytorch.org/docs/stable/backends.html#torch.backends.cuda.preferred_linalg_library";
+
+} // namespace at::cuda::solver
+
+// When cuda < 11.5, cusolver raises CUSOLVER_STATUS_EXECUTION_FAILED when input contains nan.
+// When cuda >= 11.5, cusolver normally finishes execution and sets info array indicating convergence issue.
+#define TORCH_CUSOLVER_CHECK(EXPR)                                      \
+  do {                                                                  \
+    cusolverStatus_t __err = EXPR;                                      \
+    if ((CUDA_VERSION < 11500 &&                                        \
+         __err == CUSOLVER_STATUS_EXECUTION_FAILED) ||                  \
+        (CUDA_VERSION >= 11500 &&                                       \
+         __err == CUSOLVER_STATUS_INVALID_VALUE)) {                     \
+      TORCH_CHECK_LINALG(                                               \
+          false,                                                        \
+          "cusolver error: ",                                           \
+          at::cuda::solver::cusolverGetErrorMessage(__err),             \
+          ", when calling `" #EXPR "`",                                 \
+          ". This error may appear if the input matrix contains NaN. ", \
+          at::cuda::solver::_cusolver_backend_suggestion);              \
+    } else {                                                            \
+      TORCH_CHECK(                                                      \
+          __err == CUSOLVER_STATUS_SUCCESS,                             \
+          "cusolver error: ",                                           \
+          at::cuda::solver::cusolverGetErrorMessage(__err),             \
+          ", when calling `" #EXPR "`. ",                               \
+          at::cuda::solver::_cusolver_backend_suggestion);              \
+    }                                                                   \
+  } while (0)
+
+#else
+#define TORCH_CUSOLVER_CHECK(EXPR) EXPR
+#endif
+
+#define AT_CUDA_CHECK(EXPR) C10_CUDA_CHECK(EXPR)
+
+// For CUDA Driver API
+//
+// This is here instead of in c10 because NVRTC is loaded dynamically via a stub
+// in ATen, and we need to use its nvrtcGetErrorString.
+// See NOTE [ USE OF NVRTC AND DRIVER API ].
+#if !defined(USE_ROCM)
+
+#define AT_CUDA_DRIVER_CHECK(EXPR)                                                                               \
+  do {                                                                                                           \
+    CUresult __err = EXPR;                                                                                       \
+    if (__err != CUDA_SUCCESS) {                                                                                 \
+      const char* err_str;                                                                                       \
+      CUresult get_error_str_err C10_UNUSED = at::globalContext().getNVRTC().cuGetErrorString(__err, &err_str);  \
+      if (get_error_str_err != CUDA_SUCCESS) {                                                                   \
+        AT_ERROR("CUDA driver error: unknown error");                                                            \
+      } else {                                                                                                   \
+        AT_ERROR("CUDA driver error: ", err_str);                                                                \
+      }                                                                                                          \
+    }                                                                                                            \
+  } while (0)
+
+#else
+
+#define AT_CUDA_DRIVER_CHECK(EXPR)                                                \
+  do {                                                                            \
+    CUresult __err = EXPR;                                                        \
+    if (__err != CUDA_SUCCESS) {                                                  \
+      AT_ERROR("CUDA driver error: ", static_cast<int>(__err));                   \
+    }                                                                             \
+  } while (0)
+
+#endif
+
+// For CUDA NVRTC
+//
+// Note: As of CUDA 10, nvrtc error code 7, NVRTC_ERROR_BUILTIN_OPERATION_FAILURE,
+// incorrectly produces the error string "NVRTC unknown error."
+// The following maps it correctly.
+//
+// This is here instead of in c10 because NVRTC is loaded dynamically via a stub
+// in ATen, and we need to use its nvrtcGetErrorString.
+// See NOTE [ USE OF NVRTC AND DRIVER API ].
+#define AT_CUDA_NVRTC_CHECK(EXPR)                                                                   \
+  do {                                                                                              \
+    nvrtcResult __err = EXPR;                                                                       \
+    if (__err != NVRTC_SUCCESS) {                                                                   \
+      if (static_cast<int>(__err) != 7) {                                                           \
+        AT_ERROR("CUDA NVRTC error: ", at::globalContext().getNVRTC().nvrtcGetErrorString(__err));  \
+      } else {                                                                                      \
+        AT_ERROR("CUDA NVRTC error: NVRTC_ERROR_BUILTIN_OPERATION_FAILURE");                        \
+      }                                                                                             \
+    }                                                                                               \
+  } while (0)

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/NumericLimits.cuh

@@ -0,0 +1,121 @@
+#pragma once
+
+#include <cuda.h>
+#include <limits.h>
+#include <math.h>
+#include <float.h>
+
+// NumericLimits.cuh is a holder for numeric limits definitions of commonly used
+// types. This header is very specific to ROCm HIP and may be removed in the future.
+// This header is derived from the legacy THCNumerics.cuh.
+
+// The lower_bound and upper_bound constants are same as lowest and max for
+// integral types, but are -inf and +inf for floating point types. They are
+// useful in implementing min, max, etc.
+
+namespace at {
+
+template <typename T>
+struct numeric_limits {
+};
+
+// WARNING: the following at::numeric_limits definitions are there only to support
+//          HIP compilation for the moment. Use std::numeric_limits if you are not
+//          compiling for ROCm.
+//          from @colesbury: "The functions on numeric_limits aren't marked with
+//          __device__ which is why they don't work with ROCm. CUDA allows them
+//          because they're constexpr."
+
+namespace {
+  // ROCm doesn't like INFINITY too.
+  constexpr double inf = INFINITY;
+}
+
+template <>
+struct numeric_limits<bool> {
+  static inline __host__ __device__ bool lowest() { return false; }
+  static inline __host__ __device__ bool max() { return true; }
+  static inline __host__ __device__ bool lower_bound() { return false; }
+  static inline __host__ __device__ bool upper_bound() { return true; }
+};
+
+template <>
+struct numeric_limits<uint8_t> {
+  static inline __host__ __device__ uint8_t lowest() { return 0; }
+  static inline __host__ __device__ uint8_t max() { return UINT8_MAX; }
+  static inline __host__ __device__ uint8_t lower_bound() { return 0; }
+  static inline __host__ __device__ uint8_t upper_bound() { return UINT8_MAX; }
+};
+
+template <>
+struct numeric_limits<int8_t> {
+  static inline __host__ __device__ int8_t lowest() { return INT8_MIN; }
+  static inline __host__ __device__ int8_t max() { return INT8_MAX; }
+  static inline __host__ __device__ int8_t lower_bound() { return INT8_MIN; }
+  static inline __host__ __device__ int8_t upper_bound() { return INT8_MAX; }
+};
+
+template <>
+struct numeric_limits<int16_t> {
+  static inline __host__ __device__ int16_t lowest() { return INT16_MIN; }
+  static inline __host__ __device__ int16_t max() { return INT16_MAX; }
+  static inline __host__ __device__ int16_t lower_bound() { return INT16_MIN; }
+  static inline __host__ __device__ int16_t upper_bound() { return INT16_MAX; }
+};
+
+template <>
+struct numeric_limits<int32_t> {
+  static inline __host__ __device__ int32_t lowest() { return INT32_MIN; }
+  static inline __host__ __device__ int32_t max() { return INT32_MAX; }
+  static inline __host__ __device__ int32_t lower_bound() { return INT32_MIN; }
+  static inline __host__ __device__ int32_t upper_bound() { return INT32_MAX; }
+};
+
+template <>
+struct numeric_limits<int64_t> {
+#ifdef _MSC_VER
+  static inline __host__ __device__ int64_t lowest() { return _I64_MIN; }
+  static inline __host__ __device__ int64_t max() { return _I64_MAX; }
+  static inline __host__ __device__ int64_t lower_bound() { return _I64_MIN; }
+  static inline __host__ __device__ int64_t upper_bound() { return _I64_MAX; }
+#else
+  static inline __host__ __device__ int64_t lowest() { return INT64_MIN; }
+  static inline __host__ __device__ int64_t max() { return INT64_MAX; }
+  static inline __host__ __device__ int64_t lower_bound() { return INT64_MIN; }
+  static inline __host__ __device__ int64_t upper_bound() { return INT64_MAX; }
+#endif
+};
+
+template <>
+struct numeric_limits<at::Half> {
+  static inline __host__ __device__ at::Half lowest() { return at::Half(0xFBFF, at::Half::from_bits()); }
+  static inline __host__ __device__ at::Half max() { return at::Half(0x7BFF, at::Half::from_bits()); }
+  static inline __host__ __device__ at::Half lower_bound() { return at::Half(0xFC00, at::Half::from_bits()); }
+  static inline __host__ __device__ at::Half upper_bound() { return at::Half(0x7C00, at::Half::from_bits()); }
+};
+
+template <>
+struct numeric_limits<at::BFloat16> {
+  static inline __host__ __device__ at::BFloat16 lowest() { return at::BFloat16(0xFF7F, at::BFloat16::from_bits()); }
+  static inline __host__ __device__ at::BFloat16 max() { return at::BFloat16(0x7F7F, at::BFloat16::from_bits()); }
+  static inline __host__ __device__ at::BFloat16 lower_bound() { return at::BFloat16(0xFF80, at::BFloat16::from_bits()); }
+  static inline __host__ __device__ at::BFloat16 upper_bound() { return at::BFloat16(0x7F80, at::BFloat16::from_bits()); }
+};
+
+template <>
+struct numeric_limits<float> {
+  static inline __host__ __device__ float lowest() { return -FLT_MAX; }
+  static inline __host__ __device__ float max() { return FLT_MAX; }
+  static inline __host__ __device__ float lower_bound() { return -static_cast<float>(inf); }
+  static inline __host__ __device__ float upper_bound() { return static_cast<float>(inf); }
+};
+
+template <>
+struct numeric_limits<double> {
+  static inline __host__ __device__ double lowest() { return -DBL_MAX; }
+  static inline __host__ __device__ double max() { return DBL_MAX; }
+  static inline __host__ __device__ double lower_bound() { return -inf; }
+  static inline __host__ __device__ double upper_bound() { return inf; }
+};
+
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/PeerToPeerAccess.h

@@ -0,0 +1,11 @@
+#include <c10/macros/Macros.h>
+#include <cstdint>
+
+namespace at::cuda {
+namespace detail {
+void init_p2p_access_cache(int64_t num_devices);
+}
+
+TORCH_CUDA_CPP_API bool get_p2p_access(int source_dev, int dest_dev);
+
+}  // namespace at::cuda

pllava/lib/python3.10/site-packages/torch/include/ATen/cuda/PhiloxUtils.cuh

@@ -0,0 +1,4 @@
+#pragma once
+
+#include <ATen/cuda/PhiloxCudaState.h>
+#include <ATen/cuda/detail/UnpackRaw.cuh>