Add files using upload-large-folder tool

.gitattributes

@@ -685,3 +685,4 @@ mplug_owl2/lib/libquadmath.so.0 filter=lfs diff=lfs merge=lfs -text
 mplug_owl2/lib/libitm.so.1.0.0 filter=lfs diff=lfs merge=lfs -text
 pllava/lib/python3.10/site-packages/decord.libs/libavcodec-bc50294c.so.58.35.100 filter=lfs diff=lfs merge=lfs -text
 pllava/lib/python3.10/site-packages/nvidia/cuda_runtime/lib/libcudart.so.12 filter=lfs diff=lfs merge=lfs -text
+pllava/lib/python3.10/site-packages/nvidia/cufft/lib/libcufftw.so.10 filter=lfs diff=lfs merge=lfs -text

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/ANDROID_API_MIN.rst

@@ -0,0 +1,9 @@
+ANDROID_API_MIN
+---------------
+
+.. versionadded:: 3.2
+
+Set the Android MIN API version (e.g. ``9``).  The version number
+must be a positive decimal integer.  This property is initialized by
+the value of the :variable:`CMAKE_ANDROID_API_MIN` variable if it is set
+when a target is created.  Native code builds using this API version.

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/AUTOMOC_EXECUTABLE.rst

@@ -0,0 +1,17 @@
+AUTOMOC_EXECUTABLE
+------------------
+
+.. versionadded:: 3.14
+
+``AUTOMOC_EXECUTABLE`` is file path pointing to the ``moc``
+executable to use for :prop_tgt:`AUTOMOC` enabled files. Setting
+this property will make CMake skip the automatic detection of the
+``moc`` binary as well as the sanity-tests normally run to ensure
+that the binary is available and working as expected.
+
+Usually this property does not need to be set. Only consider this
+property if auto-detection of ``moc`` can not work -- e.g. because
+you are building the ``moc`` binary as part of your project.
+
+See the :manual:`cmake-qt(7)` manual for more information on using CMake
+with Qt.

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/COMPILE_FLAGS.rst

@@ -0,0 +1,14 @@
+COMPILE_FLAGS
+-------------
+
+Additional flags to use when compiling this target's sources.
+
+The ``COMPILE_FLAGS`` property sets additional compiler flags used to
+build sources within the target.  Use :prop_tgt:`COMPILE_DEFINITIONS`
+to pass additional preprocessor definitions.
+
+.. note::
+
+  This property has been superseded by the :prop_tgt:`COMPILE_OPTIONS` property.
+  Alternatively, you can also use the :command:`target_compile_options` command
+  instead.

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/COMPILE_PDB_NAME.rst

@@ -0,0 +1,13 @@
+COMPILE_PDB_NAME
+----------------
+
+.. versionadded:: 3.1
+
+Output name for the MS debug symbol ``.pdb`` file generated by the
+compiler while building source files.
+
+This property specifies the base name for the debug symbols file.
+If not set, the default is unspecified.
+
+.. |PDB_XXX| replace:: :prop_tgt:`PDB_NAME`
+.. include:: COMPILE_PDB_NOTE.txt

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/COMPILE_PDB_OUTPUT_DIRECTORY_CONFIG.rst

@@ -0,0 +1,18 @@
+COMPILE_PDB_OUTPUT_DIRECTORY_<CONFIG>
+-------------------------------------
+
+.. versionadded:: 3.1
+
+Per-configuration output directory for the MS debug symbol ``.pdb`` file
+generated by the compiler while building source files.
+
+This is a per-configuration version of
+:prop_tgt:`COMPILE_PDB_OUTPUT_DIRECTORY`,
+but multi-configuration generators (Visual Studio, Xcode) do NOT append a
+per-configuration subdirectory to the specified directory.  This
+property is initialized by the value of the
+:variable:`CMAKE_COMPILE_PDB_OUTPUT_DIRECTORY_<CONFIG>` variable
+if it is set when a target is created.
+
+.. |PDB_XXX| replace:: :prop_tgt:`PDB_OUTPUT_DIRECTORY_<CONFIG>`
+.. include:: COMPILE_PDB_NOTE.txt

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/DEPLOYMENT_REMOTE_DIRECTORY.rst

@@ -0,0 +1,20 @@
+DEPLOYMENT_REMOTE_DIRECTORY
+---------------------------
+
+.. versionadded:: 3.6
+
+Set the WinCE project ``RemoteDirectory`` in ``DeploymentTool`` and
+``RemoteExecutable`` in ``DebuggerTool`` in ``.vcproj`` files generated
+by the :ref:`Visual Studio Generators`.
+This is useful when you want to debug on remote WinCE device.
+For example:
+
+.. code-block:: cmake
+
+  set_property(TARGET ${TARGET} PROPERTY
+    DEPLOYMENT_REMOTE_DIRECTORY "\\FlashStorage")
+
+produces::
+
+  <DeploymentTool RemoteDirectory="\FlashStorage" ... />
+  <DebuggerTool RemoteExecutable="\FlashStorage\target_file" ... />

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/DOTNET_SDK.rst

@@ -0,0 +1,25 @@
+DOTNET_SDK
+----------
+
+.. versionadded:: 3.23
+
+Specify the .NET SDK for C# projects.  For example: ``Microsoft.NET.Sdk``.
+
+This property tells :ref:`Visual Studio Generators` for VS 2019 and
+above to generate a .NET SDK-style project using the specified SDK.
+The property is meaningful only to these generators, and only in C#
+targets.  It is ignored for C++ projects, even if they are managed
+(e.g. using :prop_tgt:`COMMON_LANGUAGE_RUNTIME`).
+
+This property must be a non-empty string to generate .NET SDK-style projects.
+CMake does not perform any validations for the value of the property.
+
+This property may be initialized for all targets using the
+:variable:`CMAKE_DOTNET_SDK` variable.
+
+.. note::
+
+  The :ref:`Visual Studio Generators` in this version of CMake have not
+  yet learned to support :command:`add_custom_command` in .NET SDK-style
+  projects.  It is currently an error to attach a custom command to a
+  target with the ``DOTNET_SDK`` property set.

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/EXPORT_NO_SYSTEM.rst

@@ -0,0 +1,13 @@
+EXPORT_NO_SYSTEM
+----------------
+
+.. versionadded:: 3.25
+
+This property affects the behavior of the :command:`install(EXPORT)` and
+:command:`export` commands when they install or export the target respectively.
+When ``EXPORT_NO_SYSTEM`` is set to true, those commands generate an imported
+target with :prop_tgt:`SYSTEM` property set to false.
+
+See the :prop_tgt:`NO_SYSTEM_FROM_IMPORTED` target property to set this
+behavior on the target *consuming* the include directories rather than the
+one *providing* them.

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/HEADER_SET.rst

@@ -0,0 +1,15 @@
+HEADER_SET
+----------
+
+.. versionadded:: 3.23
+
+Semicolon-separated list of files in the target's default header set,
+(i.e. the file set with name and type ``HEADERS``). If any of the paths
+are relative, they are computed relative to the target's source directory.
+The property supports
+:manual:`generator expressions <cmake-generator-expressions(7)>`.
+
+This property is normally only set by :command:`target_sources(FILE_SET)`
+rather than being manipulated directly.
+
+See :prop_tgt:`HEADER_SET_<NAME>` for the list of files in other header sets.

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/HIP_STANDARD.rst

@@ -0,0 +1,54 @@
+HIP_STANDARD
+------------
+
+.. versionadded:: 3.21
+
+The HIP/C++ standard requested to build this target.
+
+Supported values are:
+
+``98``
+  HIP C++98
+
+``11``
+  HIP C++11
+
+``14``
+  HIP C++14
+
+``17``
+  HIP C++17
+
+``20``
+  HIP C++20
+
+``23``
+  HIP C++23
+
+``26``
+  .. versionadded:: 3.25
+
+  HIP C++26. CMake 3.25 and later *recognize* ``26`` as a valid value,
+  no version has support for any compiler.
+
+If the value requested does not result in a compile flag being added for
+the compiler in use, a previous standard flag will be added instead.  This
+means that using:
+
+.. code-block:: cmake
+
+  set_property(TARGET tgt PROPERTY HIP_STANDARD 11)
+
+with a compiler which does not support ``-std=gnu++11`` or an equivalent
+flag will not result in an error or warning, but will instead add the
+``-std=gnu++98`` flag if supported.  This "decay" behavior may be controlled
+with the :prop_tgt:`HIP_STANDARD_REQUIRED` target property.
+Additionally, the :prop_tgt:`HIP_EXTENSIONS` target property may be used to
+control whether compiler-specific extensions are enabled on a per-target basis.
+
+See the :manual:`cmake-compile-features(7)` manual for information on
+compile features and a list of supported compilers.
+
+This property is initialized by the value of
+the :variable:`CMAKE_HIP_STANDARD` variable if it is set when a target
+is created.

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/PDB_NOTE.txt

@@ -0,0 +1,9 @@
+.. note::
+ This property does not apply to STATIC library targets because no linker
+ is invoked to produce them so they have no linker-generated ``.pdb`` file
+ containing debug symbols.
+
+ The linker-generated program database files are specified by the
+ ``/pdb`` linker flag and are not the same as compiler-generated
+ program database files specified by the ``/Fd`` compiler flag.
+ Use the |COMPILE_PDB_XXX| property to specify the latter.

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/SYSTEM.rst

@@ -0,0 +1,26 @@
+SYSTEM
+------
+
+.. versionadded:: 3.25
+
+Specifies that a target is a system target.  This has the following
+effects:
+
+* Entries of :prop_tgt:`INTERFACE_INCLUDE_DIRECTORIES` are treated as
+  system include directories when compiling consumers.
+  Entries of :prop_tgt:`INTERFACE_SYSTEM_INCLUDE_DIRECTORIES` are not
+  affected, and will always be treated as system include directories.
+* On Apple platforms, If the :prop_tgt:`FRAMEWORK` target property is true,
+  the frameworks directory is treated as system.
+
+For imported targets, this property defaults to true, which means
+that their :prop_tgt:`INTERFACE_INCLUDE_DIRECTORIES` and, if the
+:prop_tgt:`FRAMEWORK` target property is true, frameworks directory are
+treated as system directories by default.  If their ``SYSTEM`` property is
+false, then their :prop_tgt:`INTERFACE_INCLUDE_DIRECTORIES` as well as
+frameworks will not be treated as system.  Use the :prop_tgt:`EXPORT_NO_SYSTEM`
+property to change how a target's ``SYSTEM`` property is set when it is
+installed.
+
+For non-imported targets, this target property is initialized from
+the :prop_dir:`SYSTEM` directory property when the target is created.

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/VS_CONFIGURATION_TYPE.rst

@@ -0,0 +1,14 @@
+VS_CONFIGURATION_TYPE
+---------------------
+
+.. versionadded:: 3.6
+
+Visual Studio project configuration type.
+
+Sets the ``ConfigurationType`` attribute for a generated Visual Studio project.
+The property value may use
+:manual:`generator expressions <cmake-generator-expressions(7)>`.
+If this property is set, it overrides the default setting that is based on the
+target type (e.g. ``StaticLibrary``, ``Application``, ...).
+
+Supported on :ref:`Visual Studio Generators` for VS 2010 and higher.

mplug_owl2/lib/python3.10/site-packages/cmake/data/share/cmake-3.31/Help/prop_tgt/VS_WINRT_COMPONENT.rst

@@ -0,0 +1,13 @@
+VS_WINRT_COMPONENT
+------------------
+
+.. versionadded:: 3.1
+
+Mark a target as a Windows Runtime component for the Visual Studio generator.
+Compile the target with ``C++/CX`` language extensions for Windows Runtime.
+For ``SHARED`` and ``MODULE`` libraries, this also defines the
+``_WINRT_DLL`` preprocessor macro.
+
+.. note::
+  Currently this is implemented only by Visual Studio generators.
+  Support may be added to other generators in the future.

pllava/lib/python3.10/site-packages/mpmath-1.3.0.dist-info/LICENSE

@@ -0,0 +1,27 @@
+Copyright (c) 2005-2021 Fredrik Johansson and mpmath contributors
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+  a. Redistributions of source code must retain the above copyright notice,
+     this list of conditions and the following disclaimer.
+  b. Redistributions in binary form must reproduce the above copyright
+     notice, this list of conditions and the following disclaimer in the
+     documentation and/or other materials provided with the distribution.
+  c. Neither the name of the copyright holder nor the names of its
+     contributors may be used to endorse or promote products derived
+     from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
+LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
+OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
+DAMAGE.

pllava/lib/python3.10/site-packages/mpmath-1.3.0.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.38.4)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

pllava/lib/python3.10/site-packages/nvidia/cuda_cupti/include/cupti.h

@@ -0,0 +1,123 @@
+/*
+ * Copyright 2010-2017 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+#if !defined(_CUPTI_H_)
+#define _CUPTI_H_
+
+#ifdef _WIN32
+#ifndef WIN32_LEAN_AND_MEAN
+#define WIN32_LEAN_AND_MEAN
+#endif
+#ifdef NOMINMAX
+#include <windows.h>
+#else
+#define NOMINMAX
+#include <windows.h>
+#undef NOMINMAX
+#endif
+#endif
+
+#include <cuda.h>
+#include <cupti_result.h>
+#include <cupti_version.h>
+
+/* Activity, callback, event and metric APIs */
+#include <cupti_activity.h>
+#include <cupti_callbacks.h>
+#include <cupti_events.h>
+#include <cupti_metrics.h>
+
+/* Runtime, driver, and nvtx function identifiers */
+#include <cupti_driver_cbid.h>
+#include <cupti_runtime_cbid.h>
+#include <cupti_nvtx_cbid.h>
+
+/* To support function parameter structures for obsoleted API. See
+   cuda.h for the actual definition of these structures. */
+typedef unsigned int CUdeviceptr_v1;
+typedef struct CUDA_MEMCPY2D_v1_st { int dummy; } CUDA_MEMCPY2D_v1;
+typedef struct CUDA_MEMCPY3D_v1_st { int dummy; } CUDA_MEMCPY3D_v1;
+typedef struct CUDA_ARRAY_DESCRIPTOR_v1_st { int dummy; } CUDA_ARRAY_DESCRIPTOR_v1;
+typedef struct CUDA_ARRAY3D_DESCRIPTOR_v1_st { int dummy; } CUDA_ARRAY3D_DESCRIPTOR_v1;
+
+/* Function parameter structures */
+#include <generated_cuda_runtime_api_meta.h>
+#include <generated_cuda_meta.h>
+
+/* The following parameter structures cannot be included unless a
+   header that defines GL_VERSION is included before including them.
+   If these are needed then make sure such a header is included
+   already. */
+#ifdef GL_VERSION
+#include <generated_cuda_gl_interop_meta.h>
+#include <generated_cudaGL_meta.h>
+#endif
+
+//#include <generated_nvtx_meta.h>
+
+/* The following parameter structures cannot be included by default as
+   they are not guaranteed to be available on all systems. Uncomment
+   the includes that are available, or use the include explicitly. */
+#if defined(__linux__)
+//#include <generated_cuda_vdpau_interop_meta.h>
+//#include <generated_cudaVDPAU_meta.h>
+#endif
+
+#ifdef _WIN32
+//#include <generated_cuda_d3d9_interop_meta.h>
+//#include <generated_cuda_d3d10_interop_meta.h>
+//#include <generated_cuda_d3d11_interop_meta.h>
+//#include <generated_cudaD3D9_meta.h>
+//#include <generated_cudaD3D10_meta.h>
+//#include <generated_cudaD3D11_meta.h>
+#endif
+
+#endif /*_CUPTI_H_*/
+
+

pllava/lib/python3.10/site-packages/nvidia/cuda_cupti/include/cupti_driver_cbid.h

@@ -0,0 +1,690 @@
+
+// *************************************************************************
+//      Definitions of indices for API functions, unique across entire API
+// *************************************************************************
+
+// This file is generated.  Any changes you make will be lost during the next clean build.
+// CUDA public interface, for type definitions and cu* function prototypes
+
+typedef enum CUpti_driver_api_trace_cbid_enum {
+    CUPTI_DRIVER_TRACE_CBID_INVALID                                                        = 0,
+    CUPTI_DRIVER_TRACE_CBID_cuInit                                                         = 1,
+    CUPTI_DRIVER_TRACE_CBID_cuDriverGetVersion                                             = 2,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGet                                                    = 3,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetCount                                               = 4,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetName                                                = 5,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceComputeCapability                                      = 6,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceTotalMem                                               = 7,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetProperties                                          = 8,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetAttribute                                           = 9,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxCreate                                                    = 10,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxDestroy                                                   = 11,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxAttach                                                    = 12,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxDetach                                                    = 13,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxPushCurrent                                               = 14,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxPopCurrent                                                = 15,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxGetDevice                                                 = 16,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxSynchronize                                               = 17,
+    CUPTI_DRIVER_TRACE_CBID_cuModuleLoad                                                   = 18,
+    CUPTI_DRIVER_TRACE_CBID_cuModuleLoadData                                               = 19,
+    CUPTI_DRIVER_TRACE_CBID_cuModuleLoadDataEx                                             = 20,
+    CUPTI_DRIVER_TRACE_CBID_cuModuleLoadFatBinary                                          = 21,
+    CUPTI_DRIVER_TRACE_CBID_cuModuleUnload                                                 = 22,
+    CUPTI_DRIVER_TRACE_CBID_cuModuleGetFunction                                            = 23,
+    CUPTI_DRIVER_TRACE_CBID_cuModuleGetGlobal                                              = 24,
+    CUPTI_DRIVER_TRACE_CBID_cu64ModuleGetGlobal                                            = 25,
+    CUPTI_DRIVER_TRACE_CBID_cuModuleGetTexRef                                              = 26,
+    CUPTI_DRIVER_TRACE_CBID_cuMemGetInfo                                                   = 27,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemGetInfo                                                 = 28,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAlloc                                                     = 29,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemAlloc                                                   = 30,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAllocPitch                                                = 31,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemAllocPitch                                              = 32,
+    CUPTI_DRIVER_TRACE_CBID_cuMemFree                                                      = 33,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemFree                                                    = 34,
+    CUPTI_DRIVER_TRACE_CBID_cuMemGetAddressRange                                           = 35,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemGetAddressRange                                         = 36,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAllocHost                                                 = 37,
+    CUPTI_DRIVER_TRACE_CBID_cuMemFreeHost                                                  = 38,
+    CUPTI_DRIVER_TRACE_CBID_cuMemHostAlloc                                                 = 39,
+    CUPTI_DRIVER_TRACE_CBID_cuMemHostGetDevicePointer                                      = 40,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemHostGetDevicePointer                                    = 41,
+    CUPTI_DRIVER_TRACE_CBID_cuMemHostGetFlags                                              = 42,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyHtoD                                                   = 43,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemcpyHtoD                                                 = 44,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoH                                                   = 45,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemcpyDtoH                                                 = 46,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoD                                                   = 47,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemcpyDtoD                                                 = 48,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoA                                                   = 49,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemcpyDtoA                                                 = 50,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAtoD                                                   = 51,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemcpyAtoD                                                 = 52,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyHtoA                                                   = 53,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAtoH                                                   = 54,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAtoA                                                   = 55,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy2D                                                     = 56,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy2DUnaligned                                            = 57,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy3D                                                     = 58,
+    CUPTI_DRIVER_TRACE_CBID_cu64Memcpy3D                                                   = 59,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyHtoDAsync                                              = 60,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemcpyHtoDAsync                                            = 61,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoHAsync                                              = 62,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemcpyDtoHAsync                                            = 63,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoDAsync                                              = 64,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemcpyDtoDAsync                                            = 65,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyHtoAAsync                                              = 66,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAtoHAsync                                              = 67,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy2DAsync                                                = 68,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy3DAsync                                                = 69,
+    CUPTI_DRIVER_TRACE_CBID_cu64Memcpy3DAsync                                              = 70,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD8                                                     = 71,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemsetD8                                                   = 72,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD16                                                    = 73,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemsetD16                                                  = 74,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD32                                                    = 75,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemsetD32                                                  = 76,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D8                                                   = 77,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemsetD2D8                                                 = 78,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D16                                                  = 79,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemsetD2D16                                                = 80,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D32                                                  = 81,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemsetD2D32                                                = 82,
+    CUPTI_DRIVER_TRACE_CBID_cuFuncSetBlockShape                                            = 83,
+    CUPTI_DRIVER_TRACE_CBID_cuFuncSetSharedSize                                            = 84,
+    CUPTI_DRIVER_TRACE_CBID_cuFuncGetAttribute                                             = 85,
+    CUPTI_DRIVER_TRACE_CBID_cuFuncSetCacheConfig                                           = 86,
+    CUPTI_DRIVER_TRACE_CBID_cuArrayCreate                                                  = 87,
+    CUPTI_DRIVER_TRACE_CBID_cuArrayGetDescriptor                                           = 88,
+    CUPTI_DRIVER_TRACE_CBID_cuArrayDestroy                                                 = 89,
+    CUPTI_DRIVER_TRACE_CBID_cuArray3DCreate                                                = 90,
+    CUPTI_DRIVER_TRACE_CBID_cuArray3DGetDescriptor                                         = 91,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefCreate                                                 = 92,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefDestroy                                                = 93,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetArray                                               = 94,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetAddress                                             = 95,
+    CUPTI_DRIVER_TRACE_CBID_cu64TexRefSetAddress                                           = 96,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetAddress2D                                           = 97,
+    CUPTI_DRIVER_TRACE_CBID_cu64TexRefSetAddress2D                                         = 98,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetFormat                                              = 99,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetAddressMode                                         = 100,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetFilterMode                                          = 101,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetFlags                                               = 102,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetAddress                                             = 103,
+    CUPTI_DRIVER_TRACE_CBID_cu64TexRefGetAddress                                           = 104,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetArray                                               = 105,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetAddressMode                                         = 106,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetFilterMode                                          = 107,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetFormat                                              = 108,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetFlags                                               = 109,
+    CUPTI_DRIVER_TRACE_CBID_cuParamSetSize                                                 = 110,
+    CUPTI_DRIVER_TRACE_CBID_cuParamSeti                                                    = 111,
+    CUPTI_DRIVER_TRACE_CBID_cuParamSetf                                                    = 112,
+    CUPTI_DRIVER_TRACE_CBID_cuParamSetv                                                    = 113,
+    CUPTI_DRIVER_TRACE_CBID_cuParamSetTexRef                                               = 114,
+    CUPTI_DRIVER_TRACE_CBID_cuLaunch                                                       = 115,
+    CUPTI_DRIVER_TRACE_CBID_cuLaunchGrid                                                   = 116,
+    CUPTI_DRIVER_TRACE_CBID_cuLaunchGridAsync                                              = 117,
+    CUPTI_DRIVER_TRACE_CBID_cuEventCreate                                                  = 118,
+    CUPTI_DRIVER_TRACE_CBID_cuEventRecord                                                  = 119,
+    CUPTI_DRIVER_TRACE_CBID_cuEventQuery                                                   = 120,
+    CUPTI_DRIVER_TRACE_CBID_cuEventSynchronize                                             = 121,
+    CUPTI_DRIVER_TRACE_CBID_cuEventDestroy                                                 = 122,
+    CUPTI_DRIVER_TRACE_CBID_cuEventElapsedTime                                             = 123,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamCreate                                                 = 124,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamQuery                                                  = 125,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamSynchronize                                            = 126,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamDestroy                                                = 127,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsUnregisterResource                                   = 128,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsSubResourceGetMappedArray                            = 129,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsResourceGetMappedPointer                             = 130,
+    CUPTI_DRIVER_TRACE_CBID_cu64GraphicsResourceGetMappedPointer                           = 131,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsResourceSetMapFlags                                  = 132,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsMapResources                                         = 133,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsUnmapResources                                       = 134,
+    CUPTI_DRIVER_TRACE_CBID_cuGetExportTable                                               = 135,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxSetLimit                                                  = 136,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxGetLimit                                                  = 137,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10GetDevice                                               = 138,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10CtxCreate                                               = 139,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsD3D10RegisterResource                                = 140,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10RegisterResource                                        = 141,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10UnregisterResource                                      = 142,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10MapResources                                            = 143,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10UnmapResources                                          = 144,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10ResourceSetMapFlags                                     = 145,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10ResourceGetMappedArray                                  = 146,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10ResourceGetMappedPointer                                = 147,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10ResourceGetMappedSize                                   = 148,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10ResourceGetMappedPitch                                  = 149,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10ResourceGetSurfaceDimensions                            = 150,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D11GetDevice                                               = 151,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D11CtxCreate                                               = 152,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsD3D11RegisterResource                                = 153,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9GetDevice                                                = 154,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9CtxCreate                                                = 155,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsD3D9RegisterResource                                 = 156,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9GetDirect3DDevice                                        = 157,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9RegisterResource                                         = 158,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9UnregisterResource                                       = 159,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9MapResources                                             = 160,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9UnmapResources                                           = 161,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9ResourceSetMapFlags                                      = 162,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9ResourceGetSurfaceDimensions                             = 163,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9ResourceGetMappedArray                                   = 164,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9ResourceGetMappedPointer                                 = 165,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9ResourceGetMappedSize                                    = 166,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9ResourceGetMappedPitch                                   = 167,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9Begin                                                    = 168,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9End                                                      = 169,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9RegisterVertexBuffer                                     = 170,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9MapVertexBuffer                                          = 171,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9UnmapVertexBuffer                                        = 172,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9UnregisterVertexBuffer                                   = 173,
+    CUPTI_DRIVER_TRACE_CBID_cuGLCtxCreate                                                  = 174,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsGLRegisterBuffer                                     = 175,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsGLRegisterImage                                      = 176,
+    CUPTI_DRIVER_TRACE_CBID_cuWGLGetDevice                                                 = 177,
+    CUPTI_DRIVER_TRACE_CBID_cuGLInit                                                       = 178,
+    CUPTI_DRIVER_TRACE_CBID_cuGLRegisterBufferObject                                       = 179,
+    CUPTI_DRIVER_TRACE_CBID_cuGLMapBufferObject                                            = 180,
+    CUPTI_DRIVER_TRACE_CBID_cuGLUnmapBufferObject                                          = 181,
+    CUPTI_DRIVER_TRACE_CBID_cuGLUnregisterBufferObject                                     = 182,
+    CUPTI_DRIVER_TRACE_CBID_cuGLSetBufferObjectMapFlags                                    = 183,
+    CUPTI_DRIVER_TRACE_CBID_cuGLMapBufferObjectAsync                                       = 184,
+    CUPTI_DRIVER_TRACE_CBID_cuGLUnmapBufferObjectAsync                                     = 185,
+    CUPTI_DRIVER_TRACE_CBID_cuVDPAUGetDevice                                               = 186,
+    CUPTI_DRIVER_TRACE_CBID_cuVDPAUCtxCreate                                               = 187,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsVDPAURegisterVideoSurface                            = 188,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsVDPAURegisterOutputSurface                           = 189,
+    CUPTI_DRIVER_TRACE_CBID_cuModuleGetSurfRef                                             = 190,
+    CUPTI_DRIVER_TRACE_CBID_cuSurfRefCreate                                                = 191,
+    CUPTI_DRIVER_TRACE_CBID_cuSurfRefDestroy                                               = 192,
+    CUPTI_DRIVER_TRACE_CBID_cuSurfRefSetFormat                                             = 193,
+    CUPTI_DRIVER_TRACE_CBID_cuSurfRefSetArray                                              = 194,
+    CUPTI_DRIVER_TRACE_CBID_cuSurfRefGetFormat                                             = 195,
+    CUPTI_DRIVER_TRACE_CBID_cuSurfRefGetArray                                              = 196,
+    CUPTI_DRIVER_TRACE_CBID_cu64DeviceTotalMem                                             = 197,
+    CUPTI_DRIVER_TRACE_CBID_cu64D3D10ResourceGetMappedPointer                              = 198,
+    CUPTI_DRIVER_TRACE_CBID_cu64D3D10ResourceGetMappedSize                                 = 199,
+    CUPTI_DRIVER_TRACE_CBID_cu64D3D10ResourceGetMappedPitch                                = 200,
+    CUPTI_DRIVER_TRACE_CBID_cu64D3D10ResourceGetSurfaceDimensions                          = 201,
+    CUPTI_DRIVER_TRACE_CBID_cu64D3D9ResourceGetSurfaceDimensions                           = 202,
+    CUPTI_DRIVER_TRACE_CBID_cu64D3D9ResourceGetMappedPointer                               = 203,
+    CUPTI_DRIVER_TRACE_CBID_cu64D3D9ResourceGetMappedSize                                  = 204,
+    CUPTI_DRIVER_TRACE_CBID_cu64D3D9ResourceGetMappedPitch                                 = 205,
+    CUPTI_DRIVER_TRACE_CBID_cu64D3D9MapVertexBuffer                                        = 206,
+    CUPTI_DRIVER_TRACE_CBID_cu64GLMapBufferObject                                          = 207,
+    CUPTI_DRIVER_TRACE_CBID_cu64GLMapBufferObjectAsync                                     = 208,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D11GetDevices                                              = 209,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D11CtxCreateOnDevice                                       = 210,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10GetDevices                                              = 211,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10CtxCreateOnDevice                                       = 212,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9GetDevices                                               = 213,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9CtxCreateOnDevice                                        = 214,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemHostAlloc                                               = 215,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD8Async                                                = 216,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemsetD8Async                                              = 217,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD16Async                                               = 218,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemsetD16Async                                             = 219,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD32Async                                               = 220,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemsetD32Async                                             = 221,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D8Async                                              = 222,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemsetD2D8Async                                            = 223,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D16Async                                             = 224,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemsetD2D16Async                                           = 225,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D32Async                                             = 226,
+    CUPTI_DRIVER_TRACE_CBID_cu64MemsetD2D32Async                                           = 227,
+    CUPTI_DRIVER_TRACE_CBID_cu64ArrayCreate                                                = 228,
+    CUPTI_DRIVER_TRACE_CBID_cu64ArrayGetDescriptor                                         = 229,
+    CUPTI_DRIVER_TRACE_CBID_cu64Array3DCreate                                              = 230,
+    CUPTI_DRIVER_TRACE_CBID_cu64Array3DGetDescriptor                                       = 231,
+    CUPTI_DRIVER_TRACE_CBID_cu64Memcpy2D                                                   = 232,
+    CUPTI_DRIVER_TRACE_CBID_cu64Memcpy2DUnaligned                                          = 233,
+    CUPTI_DRIVER_TRACE_CBID_cu64Memcpy2DAsync                                              = 234,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxCreate_v2                                                 = 235,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10CtxCreate_v2                                            = 236,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D11CtxCreate_v2                                            = 237,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9CtxCreate_v2                                             = 238,
+    CUPTI_DRIVER_TRACE_CBID_cuGLCtxCreate_v2                                               = 239,
+    CUPTI_DRIVER_TRACE_CBID_cuVDPAUCtxCreate_v2                                            = 240,
+    CUPTI_DRIVER_TRACE_CBID_cuModuleGetGlobal_v2                                           = 241,
+    CUPTI_DRIVER_TRACE_CBID_cuMemGetInfo_v2                                                = 242,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAlloc_v2                                                  = 243,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAllocPitch_v2                                             = 244,
+    CUPTI_DRIVER_TRACE_CBID_cuMemFree_v2                                                   = 245,
+    CUPTI_DRIVER_TRACE_CBID_cuMemGetAddressRange_v2                                        = 246,
+    CUPTI_DRIVER_TRACE_CBID_cuMemHostGetDevicePointer_v2                                   = 247,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy_v2                                                    = 248,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD8_v2                                                  = 249,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD16_v2                                                 = 250,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD32_v2                                                 = 251,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D8_v2                                                = 252,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D16_v2                                               = 253,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D32_v2                                               = 254,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetAddress_v2                                          = 255,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetAddress2D_v2                                        = 256,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetAddress_v2                                          = 257,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsResourceGetMappedPointer_v2                          = 258,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceTotalMem_v2                                            = 259,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10ResourceGetMappedPointer_v2                             = 260,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10ResourceGetMappedSize_v2                                = 261,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10ResourceGetMappedPitch_v2                               = 262,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10ResourceGetSurfaceDimensions_v2                         = 263,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9ResourceGetSurfaceDimensions_v2                          = 264,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9ResourceGetMappedPointer_v2                              = 265,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9ResourceGetMappedSize_v2                                 = 266,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9ResourceGetMappedPitch_v2                                = 267,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D9MapVertexBuffer_v2                                       = 268,
+    CUPTI_DRIVER_TRACE_CBID_cuGLMapBufferObject_v2                                         = 269,
+    CUPTI_DRIVER_TRACE_CBID_cuGLMapBufferObjectAsync_v2                                    = 270,
+    CUPTI_DRIVER_TRACE_CBID_cuMemHostAlloc_v2                                              = 271,
+    CUPTI_DRIVER_TRACE_CBID_cuArrayCreate_v2                                               = 272,
+    CUPTI_DRIVER_TRACE_CBID_cuArrayGetDescriptor_v2                                        = 273,
+    CUPTI_DRIVER_TRACE_CBID_cuArray3DCreate_v2                                             = 274,
+    CUPTI_DRIVER_TRACE_CBID_cuArray3DGetDescriptor_v2                                      = 275,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyHtoD_v2                                                = 276,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyHtoDAsync_v2                                           = 277,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoH_v2                                                = 278,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoHAsync_v2                                           = 279,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoD_v2                                                = 280,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoDAsync_v2                                           = 281,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAtoH_v2                                                = 282,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAtoHAsync_v2                                           = 283,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAtoD_v2                                                = 284,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoA_v2                                                = 285,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAtoA_v2                                                = 286,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy2D_v2                                                  = 287,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy2DUnaligned_v2                                         = 288,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy2DAsync_v2                                             = 289,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy3D_v2                                                  = 290,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy3DAsync_v2                                             = 291,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyHtoA_v2                                                = 292,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyHtoAAsync_v2                                           = 293,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAllocHost_v2                                              = 294,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWaitEvent                                              = 295,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxGetApiVersion                                             = 296,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D10GetDirect3DDevice                                       = 297,
+    CUPTI_DRIVER_TRACE_CBID_cuD3D11GetDirect3DDevice                                       = 298,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxGetCacheConfig                                            = 299,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxSetCacheConfig                                            = 300,
+    CUPTI_DRIVER_TRACE_CBID_cuMemHostRegister                                              = 301,
+    CUPTI_DRIVER_TRACE_CBID_cuMemHostUnregister                                            = 302,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxSetCurrent                                                = 303,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxGetCurrent                                                = 304,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy                                                       = 305,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAsync                                                  = 306,
+    CUPTI_DRIVER_TRACE_CBID_cuLaunchKernel                                                 = 307,
+    CUPTI_DRIVER_TRACE_CBID_cuProfilerStart                                                = 308,
+    CUPTI_DRIVER_TRACE_CBID_cuProfilerStop                                                 = 309,
+    CUPTI_DRIVER_TRACE_CBID_cuPointerGetAttribute                                          = 310,
+    CUPTI_DRIVER_TRACE_CBID_cuProfilerInitialize                                           = 311,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceCanAccessPeer                                          = 312,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxEnablePeerAccess                                          = 313,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxDisablePeerAccess                                         = 314,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPeerRegister                                              = 315,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPeerUnregister                                            = 316,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPeerGetDevicePointer                                      = 317,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyPeer                                                   = 318,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyPeerAsync                                              = 319,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy3DPeer                                                 = 320,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy3DPeerAsync                                            = 321,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxDestroy_v2                                                = 322,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxPushCurrent_v2                                            = 323,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxPopCurrent_v2                                             = 324,
+    CUPTI_DRIVER_TRACE_CBID_cuEventDestroy_v2                                              = 325,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamDestroy_v2                                             = 326,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetAddress2D_v3                                        = 327,
+    CUPTI_DRIVER_TRACE_CBID_cuIpcGetMemHandle                                              = 328,
+    CUPTI_DRIVER_TRACE_CBID_cuIpcOpenMemHandle                                             = 329,
+    CUPTI_DRIVER_TRACE_CBID_cuIpcCloseMemHandle                                            = 330,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetByPCIBusId                                          = 331,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetPCIBusId                                            = 332,
+    CUPTI_DRIVER_TRACE_CBID_cuGLGetDevices                                                 = 333,
+    CUPTI_DRIVER_TRACE_CBID_cuIpcGetEventHandle                                            = 334,
+    CUPTI_DRIVER_TRACE_CBID_cuIpcOpenEventHandle                                           = 335,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxSetSharedMemConfig                                        = 336,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxGetSharedMemConfig                                        = 337,
+    CUPTI_DRIVER_TRACE_CBID_cuFuncSetSharedMemConfig                                       = 338,
+    CUPTI_DRIVER_TRACE_CBID_cuTexObjectCreate                                              = 339,
+    CUPTI_DRIVER_TRACE_CBID_cuTexObjectDestroy                                             = 340,
+    CUPTI_DRIVER_TRACE_CBID_cuTexObjectGetResourceDesc                                     = 341,
+    CUPTI_DRIVER_TRACE_CBID_cuTexObjectGetTextureDesc                                      = 342,
+    CUPTI_DRIVER_TRACE_CBID_cuSurfObjectCreate                                             = 343,
+    CUPTI_DRIVER_TRACE_CBID_cuSurfObjectDestroy                                            = 344,
+    CUPTI_DRIVER_TRACE_CBID_cuSurfObjectGetResourceDesc                                    = 345,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamAddCallback                                            = 346,
+    CUPTI_DRIVER_TRACE_CBID_cuMipmappedArrayCreate                                         = 347,
+    CUPTI_DRIVER_TRACE_CBID_cuMipmappedArrayGetLevel                                       = 348,
+    CUPTI_DRIVER_TRACE_CBID_cuMipmappedArrayDestroy                                        = 349,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetMipmappedArray                                      = 350,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetMipmapFilterMode                                    = 351,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetMipmapLevelBias                                     = 352,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetMipmapLevelClamp                                    = 353,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetMaxAnisotropy                                       = 354,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetMipmappedArray                                      = 355,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetMipmapFilterMode                                    = 356,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetMipmapLevelBias                                     = 357,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetMipmapLevelClamp                                    = 358,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetMaxAnisotropy                                       = 359,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsResourceGetMappedMipmappedArray                      = 360,
+    CUPTI_DRIVER_TRACE_CBID_cuTexObjectGetResourceViewDesc                                 = 361,
+    CUPTI_DRIVER_TRACE_CBID_cuLinkCreate                                                   = 362,
+    CUPTI_DRIVER_TRACE_CBID_cuLinkAddData                                                  = 363,
+    CUPTI_DRIVER_TRACE_CBID_cuLinkAddFile                                                  = 364,
+    CUPTI_DRIVER_TRACE_CBID_cuLinkComplete                                                 = 365,
+    CUPTI_DRIVER_TRACE_CBID_cuLinkDestroy                                                  = 366,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamCreateWithPriority                                     = 367,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamGetPriority                                            = 368,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamGetFlags                                               = 369,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxGetStreamPriorityRange                                    = 370,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAllocManaged                                              = 371,
+    CUPTI_DRIVER_TRACE_CBID_cuGetErrorString                                               = 372,
+    CUPTI_DRIVER_TRACE_CBID_cuGetErrorName                                                 = 373,
+    CUPTI_DRIVER_TRACE_CBID_cuOccupancyMaxActiveBlocksPerMultiprocessor                    = 374,
+    CUPTI_DRIVER_TRACE_CBID_cuCompilePtx                                                   = 375,
+    CUPTI_DRIVER_TRACE_CBID_cuBinaryFree                                                   = 376,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamAttachMemAsync                                         = 377,
+    CUPTI_DRIVER_TRACE_CBID_cuPointerSetAttribute                                          = 378,
+    CUPTI_DRIVER_TRACE_CBID_cuMemHostRegister_v2                                           = 379,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsResourceSetMapFlags_v2                               = 380,
+    CUPTI_DRIVER_TRACE_CBID_cuLinkCreate_v2                                                = 381,
+    CUPTI_DRIVER_TRACE_CBID_cuLinkAddData_v2                                               = 382,
+    CUPTI_DRIVER_TRACE_CBID_cuLinkAddFile_v2                                               = 383,
+    CUPTI_DRIVER_TRACE_CBID_cuOccupancyMaxPotentialBlockSize                               = 384,
+    CUPTI_DRIVER_TRACE_CBID_cuGLGetDevices_v2                                              = 385,
+    CUPTI_DRIVER_TRACE_CBID_cuDevicePrimaryCtxRetain                                       = 386,
+    CUPTI_DRIVER_TRACE_CBID_cuDevicePrimaryCtxRelease                                      = 387,
+    CUPTI_DRIVER_TRACE_CBID_cuDevicePrimaryCtxSetFlags                                     = 388,
+    CUPTI_DRIVER_TRACE_CBID_cuDevicePrimaryCtxReset                                        = 389,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsEGLRegisterImage                                     = 390,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxGetFlags                                                  = 391,
+    CUPTI_DRIVER_TRACE_CBID_cuDevicePrimaryCtxGetState                                     = 392,
+    CUPTI_DRIVER_TRACE_CBID_cuEGLStreamConsumerConnect                                     = 393,
+    CUPTI_DRIVER_TRACE_CBID_cuEGLStreamConsumerDisconnect                                  = 394,
+    CUPTI_DRIVER_TRACE_CBID_cuEGLStreamConsumerAcquireFrame                                = 395,
+    CUPTI_DRIVER_TRACE_CBID_cuEGLStreamConsumerReleaseFrame                                = 396,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyHtoD_v2_ptds                                           = 397,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoH_v2_ptds                                           = 398,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoD_v2_ptds                                           = 399,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoA_v2_ptds                                           = 400,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAtoD_v2_ptds                                           = 401,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyHtoA_v2_ptds                                           = 402,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAtoH_v2_ptds                                           = 403,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAtoA_v2_ptds                                           = 404,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy2D_v2_ptds                                             = 405,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy2DUnaligned_v2_ptds                                    = 406,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy3D_v2_ptds                                             = 407,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy_ptds                                                  = 408,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyPeer_ptds                                              = 409,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy3DPeer_ptds                                            = 410,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD8_v2_ptds                                             = 411,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD16_v2_ptds                                            = 412,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD32_v2_ptds                                            = 413,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D8_v2_ptds                                           = 414,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D16_v2_ptds                                          = 415,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D32_v2_ptds                                          = 416,
+    CUPTI_DRIVER_TRACE_CBID_cuGLMapBufferObject_v2_ptds                                    = 417,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAsync_ptsz                                             = 418,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyHtoAAsync_v2_ptsz                                      = 419,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyAtoHAsync_v2_ptsz                                      = 420,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyHtoDAsync_v2_ptsz                                      = 421,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoHAsync_v2_ptsz                                      = 422,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyDtoDAsync_v2_ptsz                                      = 423,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy2DAsync_v2_ptsz                                        = 424,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy3DAsync_v2_ptsz                                        = 425,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpyPeerAsync_ptsz                                         = 426,
+    CUPTI_DRIVER_TRACE_CBID_cuMemcpy3DPeerAsync_ptsz                                       = 427,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD8Async_ptsz                                           = 428,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD16Async_ptsz                                          = 429,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD32Async_ptsz                                          = 430,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D8Async_ptsz                                         = 431,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D16Async_ptsz                                        = 432,
+    CUPTI_DRIVER_TRACE_CBID_cuMemsetD2D32Async_ptsz                                        = 433,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamGetPriority_ptsz                                       = 434,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamGetFlags_ptsz                                          = 435,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWaitEvent_ptsz                                         = 436,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamAddCallback_ptsz                                       = 437,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamAttachMemAsync_ptsz                                    = 438,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamQuery_ptsz                                             = 439,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamSynchronize_ptsz                                       = 440,
+    CUPTI_DRIVER_TRACE_CBID_cuEventRecord_ptsz                                             = 441,
+    CUPTI_DRIVER_TRACE_CBID_cuLaunchKernel_ptsz                                            = 442,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsMapResources_ptsz                                    = 443,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsUnmapResources_ptsz                                  = 444,
+    CUPTI_DRIVER_TRACE_CBID_cuGLMapBufferObjectAsync_v2_ptsz                               = 445,
+    CUPTI_DRIVER_TRACE_CBID_cuEGLStreamProducerConnect                                     = 446,
+    CUPTI_DRIVER_TRACE_CBID_cuEGLStreamProducerDisconnect                                  = 447,
+    CUPTI_DRIVER_TRACE_CBID_cuEGLStreamProducerPresentFrame                                = 448,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphicsResourceGetMappedEglFrame                            = 449,
+    CUPTI_DRIVER_TRACE_CBID_cuPointerGetAttributes                                         = 450,
+    CUPTI_DRIVER_TRACE_CBID_cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags           = 451,
+    CUPTI_DRIVER_TRACE_CBID_cuOccupancyMaxPotentialBlockSizeWithFlags                      = 452,
+    CUPTI_DRIVER_TRACE_CBID_cuEGLStreamProducerReturnFrame                                 = 453,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetP2PAttribute                                        = 454,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefSetBorderColor                                         = 455,
+    CUPTI_DRIVER_TRACE_CBID_cuTexRefGetBorderColor                                         = 456,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAdvise                                                    = 457,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWaitValue32                                            = 458,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWaitValue32_ptsz                                       = 459,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWriteValue32                                           = 460,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWriteValue32_ptsz                                      = 461,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamBatchMemOp                                             = 462,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamBatchMemOp_ptsz                                        = 463,
+    CUPTI_DRIVER_TRACE_CBID_cuNVNbufferGetPointer                                          = 464,
+    CUPTI_DRIVER_TRACE_CBID_cuNVNtextureGetArray                                           = 465,
+    CUPTI_DRIVER_TRACE_CBID_cuNNSetAllocator                                               = 466,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPrefetchAsync                                             = 467,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPrefetchAsync_ptsz                                        = 468,
+    CUPTI_DRIVER_TRACE_CBID_cuEventCreateFromNVNSync                                       = 469,
+    CUPTI_DRIVER_TRACE_CBID_cuEGLStreamConsumerConnectWithFlags                            = 470,
+    CUPTI_DRIVER_TRACE_CBID_cuMemRangeGetAttribute                                         = 471,
+    CUPTI_DRIVER_TRACE_CBID_cuMemRangeGetAttributes                                        = 472,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWaitValue64                                            = 473,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWaitValue64_ptsz                                       = 474,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWriteValue64                                           = 475,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWriteValue64_ptsz                                      = 476,
+    CUPTI_DRIVER_TRACE_CBID_cuLaunchCooperativeKernel                                      = 477,
+    CUPTI_DRIVER_TRACE_CBID_cuLaunchCooperativeKernel_ptsz                                 = 478,
+    CUPTI_DRIVER_TRACE_CBID_cuEventCreateFromEGLSync                                       = 479,
+    CUPTI_DRIVER_TRACE_CBID_cuLaunchCooperativeKernelMultiDevice                           = 480,
+    CUPTI_DRIVER_TRACE_CBID_cuFuncSetAttribute                                             = 481,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetUuid                                                = 482,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamGetCtx                                                 = 483,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamGetCtx_ptsz                                            = 484,
+    CUPTI_DRIVER_TRACE_CBID_cuImportExternalMemory                                         = 485,
+    CUPTI_DRIVER_TRACE_CBID_cuExternalMemoryGetMappedBuffer                                = 486,
+    CUPTI_DRIVER_TRACE_CBID_cuExternalMemoryGetMappedMipmappedArray                        = 487,
+    CUPTI_DRIVER_TRACE_CBID_cuDestroyExternalMemory                                        = 488,
+    CUPTI_DRIVER_TRACE_CBID_cuImportExternalSemaphore                                      = 489,
+    CUPTI_DRIVER_TRACE_CBID_cuSignalExternalSemaphoresAsync                                = 490,
+    CUPTI_DRIVER_TRACE_CBID_cuSignalExternalSemaphoresAsync_ptsz                           = 491,
+    CUPTI_DRIVER_TRACE_CBID_cuWaitExternalSemaphoresAsync                                  = 492,
+    CUPTI_DRIVER_TRACE_CBID_cuWaitExternalSemaphoresAsync_ptsz                             = 493,
+    CUPTI_DRIVER_TRACE_CBID_cuDestroyExternalSemaphore                                     = 494,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamBeginCapture                                           = 495,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamBeginCapture_ptsz                                      = 496,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamEndCapture                                             = 497,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamEndCapture_ptsz                                        = 498,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamIsCapturing                                            = 499,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamIsCapturing_ptsz                                       = 500,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphCreate                                                  = 501,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddKernelNode                                           = 502,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphKernelNodeGetParams                                     = 503,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddMemcpyNode                                           = 504,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphMemcpyNodeGetParams                                     = 505,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddMemsetNode                                           = 506,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphMemsetNodeGetParams                                     = 507,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphMemsetNodeSetParams                                     = 508,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphNodeGetType                                             = 509,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphGetRootNodes                                            = 510,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphNodeGetDependencies                                     = 511,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphNodeGetDependentNodes                                   = 512,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphInstantiate                                             = 513,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphLaunch                                                  = 514,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphLaunch_ptsz                                             = 515,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecDestroy                                             = 516,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphDestroy                                                 = 517,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddDependencies                                         = 518,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphRemoveDependencies                                      = 519,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphMemcpyNodeSetParams                                     = 520,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphKernelNodeSetParams                                     = 521,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphDestroyNode                                             = 522,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphClone                                                   = 523,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphNodeFindInClone                                         = 524,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddChildGraphNode                                       = 525,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddEmptyNode                                            = 526,
+    CUPTI_DRIVER_TRACE_CBID_cuLaunchHostFunc                                               = 527,
+    CUPTI_DRIVER_TRACE_CBID_cuLaunchHostFunc_ptsz                                          = 528,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphChildGraphNodeGetGraph                                  = 529,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddHostNode                                             = 530,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphHostNodeGetParams                                       = 531,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetLuid                                                = 532,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphHostNodeSetParams                                       = 533,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphGetNodes                                                = 534,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphGetEdges                                                = 535,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamGetCaptureInfo                                         = 536,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamGetCaptureInfo_ptsz                                    = 537,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecKernelNodeSetParams                                 = 538,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamBeginCapture_v2                                        = 539,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamBeginCapture_v2_ptsz                                   = 540,
+    CUPTI_DRIVER_TRACE_CBID_cuThreadExchangeStreamCaptureMode                              = 541,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetNvSciSyncAttributes                                 = 542,
+    CUPTI_DRIVER_TRACE_CBID_cuOccupancyAvailableDynamicSMemPerBlock                        = 543,
+    CUPTI_DRIVER_TRACE_CBID_cuDevicePrimaryCtxRelease_v2                                   = 544,
+    CUPTI_DRIVER_TRACE_CBID_cuDevicePrimaryCtxReset_v2                                     = 545,
+    CUPTI_DRIVER_TRACE_CBID_cuDevicePrimaryCtxSetFlags_v2                                  = 546,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAddressReserve                                            = 547,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAddressFree                                               = 548,
+    CUPTI_DRIVER_TRACE_CBID_cuMemCreate                                                    = 549,
+    CUPTI_DRIVER_TRACE_CBID_cuMemRelease                                                   = 550,
+    CUPTI_DRIVER_TRACE_CBID_cuMemMap                                                       = 551,
+    CUPTI_DRIVER_TRACE_CBID_cuMemUnmap                                                     = 552,
+    CUPTI_DRIVER_TRACE_CBID_cuMemSetAccess                                                 = 553,
+    CUPTI_DRIVER_TRACE_CBID_cuMemExportToShareableHandle                                   = 554,
+    CUPTI_DRIVER_TRACE_CBID_cuMemImportFromShareableHandle                                 = 555,
+    CUPTI_DRIVER_TRACE_CBID_cuMemGetAllocationGranularity                                  = 556,
+    CUPTI_DRIVER_TRACE_CBID_cuMemGetAllocationPropertiesFromHandle                         = 557,
+    CUPTI_DRIVER_TRACE_CBID_cuMemGetAccess                                                 = 558,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamSetFlags                                               = 559,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamSetFlags_ptsz                                          = 560,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecUpdate                                              = 561,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecMemcpyNodeSetParams                                 = 562,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecMemsetNodeSetParams                                 = 563,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecHostNodeSetParams                                   = 564,
+    CUPTI_DRIVER_TRACE_CBID_cuMemRetainAllocationHandle                                    = 565,
+    CUPTI_DRIVER_TRACE_CBID_cuFuncGetModule                                                = 566,
+    CUPTI_DRIVER_TRACE_CBID_cuIpcOpenMemHandle_v2                                          = 567,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxResetPersistingL2Cache                                    = 568,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphKernelNodeCopyAttributes                                = 569,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphKernelNodeGetAttribute                                  = 570,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphKernelNodeSetAttribute                                  = 571,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamCopyAttributes                                         = 572,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamCopyAttributes_ptsz                                    = 573,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamGetAttribute                                           = 574,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamGetAttribute_ptsz                                      = 575,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamSetAttribute                                           = 576,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamSetAttribute_ptsz                                      = 577,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphInstantiate_v2                                          = 578,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetTexture1DLinearMaxWidth                             = 579,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphUpload                                                  = 580,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphUpload_ptsz                                             = 581,
+    CUPTI_DRIVER_TRACE_CBID_cuArrayGetSparseProperties                                     = 582,
+    CUPTI_DRIVER_TRACE_CBID_cuMipmappedArrayGetSparseProperties                            = 583,
+    CUPTI_DRIVER_TRACE_CBID_cuMemMapArrayAsync                                             = 584,
+    CUPTI_DRIVER_TRACE_CBID_cuMemMapArrayAsync_ptsz                                        = 585,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecChildGraphNodeSetParams                             = 586,
+    CUPTI_DRIVER_TRACE_CBID_cuEventRecordWithFlags                                         = 587,
+    CUPTI_DRIVER_TRACE_CBID_cuEventRecordWithFlags_ptsz                                    = 588,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddEventRecordNode                                      = 589,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddEventWaitNode                                        = 590,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphEventRecordNodeGetEvent                                 = 591,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphEventWaitNodeGetEvent                                   = 592,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphEventRecordNodeSetEvent                                 = 593,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphEventWaitNodeSetEvent                                   = 594,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecEventRecordNodeSetEvent                             = 595,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecEventWaitNodeSetEvent                               = 596,
+    CUPTI_DRIVER_TRACE_CBID_cuArrayGetPlane                                                = 597,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAllocAsync                                                = 598,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAllocAsync_ptsz                                           = 599,
+    CUPTI_DRIVER_TRACE_CBID_cuMemFreeAsync                                                 = 600,
+    CUPTI_DRIVER_TRACE_CBID_cuMemFreeAsync_ptsz                                            = 601,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPoolTrimTo                                                = 602,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPoolSetAttribute                                          = 603,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPoolGetAttribute                                          = 604,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPoolSetAccess                                             = 605,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetDefaultMemPool                                      = 606,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPoolCreate                                                = 607,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPoolDestroy                                               = 608,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceSetMemPool                                             = 609,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetMemPool                                             = 610,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAllocFromPoolAsync                                        = 611,
+    CUPTI_DRIVER_TRACE_CBID_cuMemAllocFromPoolAsync_ptsz                                   = 612,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPoolExportToShareableHandle                               = 613,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPoolImportFromShareableHandle                             = 614,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPoolExportPointer                                         = 615,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPoolImportPointer                                         = 616,
+    CUPTI_DRIVER_TRACE_CBID_cuMemPoolGetAccess                                             = 617,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddExternalSemaphoresSignalNode                         = 618,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExternalSemaphoresSignalNodeGetParams                   = 619,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExternalSemaphoresSignalNodeSetParams                   = 620,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddExternalSemaphoresWaitNode                           = 621,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExternalSemaphoresWaitNodeGetParams                     = 622,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExternalSemaphoresWaitNodeSetParams                     = 623,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecExternalSemaphoresSignalNodeSetParams               = 624,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecExternalSemaphoresWaitNodeSetParams                 = 625,
+    CUPTI_DRIVER_TRACE_CBID_cuGetProcAddress                                               = 626,
+    CUPTI_DRIVER_TRACE_CBID_cuFlushGPUDirectRDMAWrites                                     = 627,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphDebugDotPrint                                           = 628,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamGetCaptureInfo_v2                                      = 629,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamGetCaptureInfo_v2_ptsz                                 = 630,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamUpdateCaptureDependencies                              = 631,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamUpdateCaptureDependencies_ptsz                         = 632,
+    CUPTI_DRIVER_TRACE_CBID_cuUserObjectCreate                                             = 633,
+    CUPTI_DRIVER_TRACE_CBID_cuUserObjectRetain                                             = 634,
+    CUPTI_DRIVER_TRACE_CBID_cuUserObjectRelease                                            = 635,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphRetainUserObject                                        = 636,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphReleaseUserObject                                       = 637,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddMemAllocNode                                         = 638,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddMemFreeNode                                          = 639,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGraphMemTrim                                           = 640,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetGraphMemAttribute                                   = 641,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceSetGraphMemAttribute                                   = 642,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphInstantiateWithFlags                                    = 643,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetExecAffinitySupport                                 = 644,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxCreate_v3                                                 = 645,
+    CUPTI_DRIVER_TRACE_CBID_cuCtxGetExecAffinity                                           = 646,
+    CUPTI_DRIVER_TRACE_CBID_cuDeviceGetUuid_v2                                             = 647,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphMemAllocNodeGetParams                                   = 648,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphMemFreeNodeGetParams                                    = 649,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphNodeSetEnabled                                          = 650,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphNodeGetEnabled                                          = 651,
+    CUPTI_DRIVER_TRACE_CBID_cuLaunchKernelEx                                               = 652,
+    CUPTI_DRIVER_TRACE_CBID_cuLaunchKernelEx_ptsz                                          = 653,
+    CUPTI_DRIVER_TRACE_CBID_cuArrayGetMemoryRequirements                                   = 654,
+    CUPTI_DRIVER_TRACE_CBID_cuMipmappedArrayGetMemoryRequirements                          = 655,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphInstantiateWithParams                                   = 656,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphInstantiateWithParams_ptsz                              = 657,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecGetFlags                                            = 658,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWaitValue32_v2                                         = 659,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWaitValue32_v2_ptsz                                    = 660,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWaitValue64_v2                                         = 661,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWaitValue64_v2_ptsz                                    = 662,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWriteValue32_v2                                        = 663,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWriteValue32_v2_ptsz                                   = 664,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWriteValue64_v2                                        = 665,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamWriteValue64_v2_ptsz                                   = 666,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamBatchMemOp_v2                                          = 667,
+    CUPTI_DRIVER_TRACE_CBID_cuStreamBatchMemOp_v2_ptsz                                     = 668,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphAddBatchMemOpNode                                       = 669,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphBatchMemOpNodeGetParams                                 = 670,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphBatchMemOpNodeSetParams                                 = 671,
+    CUPTI_DRIVER_TRACE_CBID_cuGraphExecBatchMemOpNodeSetParams                             = 672,
+    CUPTI_DRIVER_TRACE_CBID_cuModuleGetLoadingMode                                         = 673,
+    CUPTI_DRIVER_TRACE_CBID_cuMemGetHandleForAddressRange                                  = 674,
+    CUPTI_DRIVER_TRACE_CBID_cuOccupancyMaxPotentialClusterSize                             = 675,
+    CUPTI_DRIVER_TRACE_CBID_cuOccupancyMaxActiveClusters                                   = 676,
+    CUPTI_DRIVER_TRACE_CBID_SIZE                                                           = 677,
+    CUPTI_DRIVER_TRACE_CBID_FORCE_INT                                                      = 0x7fffffff
+} CUpti_driver_api_trace_cbid;
+

pllava/lib/python3.10/site-packages/nvidia/cuda_cupti/include/cupti_pcsampling.h

@@ -0,0 +1,923 @@
+/*
+ * Copyright 2020-2022 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+#if !defined(_CUPTI_PCSAMPLING_H_)
+#define _CUPTI_PCSAMPLING_H_
+
+#include <cuda.h>
+#include <stdint.h>
+#include <stddef.h>
+#include "cupti_result.h"
+
+#ifndef CUPTIAPI
+#ifdef _WIN32
+#define CUPTIAPI __stdcall
+#else
+#define CUPTIAPI
+#endif
+#endif
+
+#define ACTIVITY_RECORD_ALIGNMENT 8
+#if defined(_WIN32) // Windows 32- and 64-bit
+#define START_PACKED_ALIGNMENT __pragma(pack(push,1)) // exact fit - no padding
+#define PACKED_ALIGNMENT __declspec(align(ACTIVITY_RECORD_ALIGNMENT))
+#define END_PACKED_ALIGNMENT __pragma(pack(pop))
+#elif defined(__GNUC__) // GCC
+#define START_PACKED_ALIGNMENT
+#define PACKED_ALIGNMENT __attribute__ ((__packed__)) __attribute__ ((aligned (ACTIVITY_RECORD_ALIGNMENT)))
+#define END_PACKED_ALIGNMENT
+#else // all other compilers
+#define START_PACKED_ALIGNMENT
+#define PACKED_ALIGNMENT
+#define END_PACKED_ALIGNMENT
+#endif
+
+#if defined(__cplusplus)
+extern "C" {
+#endif
+
+#if defined(__GNUC__) && defined(CUPTI_LIB)
+    #pragma GCC visibility push(default)
+#endif
+
+/**
+ * \defgroup CUPTI_PCSAMPLING_API CUPTI PC Sampling API
+ * Functions, types, and enums that implement the CUPTI PC Sampling API.
+ * @{
+ */
+
+#ifndef CUPTI_PCSAMPLING_STRUCT_SIZE
+#define CUPTI_PCSAMPLING_STRUCT_SIZE(type_, lastfield_)                     (offsetof(type_, lastfield_) + sizeof(((type_*)0)->lastfield_))
+#endif
+
+#ifndef CUPTI_STALL_REASON_STRING_SIZE
+#define CUPTI_STALL_REASON_STRING_SIZE                                            128
+#endif
+
+/**
+ * \brief PC Sampling collection mode
+ */
+typedef enum
+{
+  /**
+   * INVALID Value
+   */
+  CUPTI_PC_SAMPLING_COLLECTION_MODE_INVALID                   = 0,
+  /**
+   * Continuous mode. Kernels are not serialized in this mode.
+   */
+  CUPTI_PC_SAMPLING_COLLECTION_MODE_CONTINUOUS                = 1,
+  /**
+   * Serialized mode. Kernels are serialized in this mode.
+   */
+  CUPTI_PC_SAMPLING_COLLECTION_MODE_KERNEL_SERIALIZED         = 2,
+} CUpti_PCSamplingCollectionMode;
+
+/**
+ * \brief PC Sampling stall reasons
+ */
+typedef struct PACKED_ALIGNMENT
+{
+  /**
+   * [r] Collected stall reason index
+   */
+  uint32_t pcSamplingStallReasonIndex;
+  /**
+   * [r] Number of times the PC was sampled with the stallReason.
+   */
+  uint32_t samples;
+} CUpti_PCSamplingStallReason;
+
+/**
+ * \brief PC Sampling data
+ */
+typedef struct PACKED_ALIGNMENT
+{
+  /**
+   * [w] Size of the data structure.
+   * CUPTI client should set the size of the structure. It will be used in CUPTI to check what fields are
+   * available in the structure. Used to preserve backward compatibility.
+   */
+  size_t size;
+  /**
+   * [r] Unique cubin id
+   */
+  uint64_t cubinCrc;
+  /**
+   * [r] PC offset
+   */
+  uint64_t pcOffset;
+  /**
+   * The function's unique symbol index in the module.
+   */
+  uint32_t functionIndex;
+  /**
+   * Padding
+   */
+  uint32_t pad;
+  /**
+   * [r] The function name. This name string might be shared across all the records
+   * including records from activity APIs representing the same function, and so it should not be
+   * modified or freed until post processing of all the records is done. Once done, it is user’s responsibility to
+   * free the memory using free() function.
+   */
+  char* functionName;
+  /**
+   * [r] Collected stall reason count
+   */
+  size_t stallReasonCount;
+  /**
+   * [r] Stall reason id
+   * Total samples
+   */
+  CUpti_PCSamplingStallReason *stallReason;
+} CUpti_PCSamplingPCData;
+
+/**
+ * \brief PC Sampling output data format
+ */
+typedef enum
+{
+    CUPTI_PC_SAMPLING_OUTPUT_DATA_FORMAT_INVALID          = 0,
+  /**
+   * HW buffer data will be parsed during collection of data
+   */
+    CUPTI_PC_SAMPLING_OUTPUT_DATA_FORMAT_PARSED           = 1,
+} CUpti_PCSamplingOutputDataFormat;
+
+/**
+ * \brief Collected PC Sampling data
+ *
+ */
+typedef struct PACKED_ALIGNMENT
+{
+  /**
+   * [w] Size of the data structure.
+   * CUPTI client should set the size of the structure. It will be used in CUPTI to check what fields are
+   * available in the structure. Used to preserve backward compatibility.
+   */
+  size_t size;
+  /**
+   * [w] Number of PCs to be collected
+   */
+  size_t collectNumPcs;
+  /**
+   * [r] Number of samples collected across all PCs.
+   * It includes samples for user modules, samples for non-user kernels and dropped samples.
+   * It includes counts for all non selected stall reasons.
+   * CUPTI does not provide PC records for non-user kernels.
+   * CUPTI does not provide PC records for instructions for which all selected stall reason metrics counts are zero.
+   */
+  uint64_t totalSamples;
+  /**
+   * [r] Number of samples that were dropped by hardware due to backpressure/overflow.
+   */
+  uint64_t droppedSamples;
+  /**
+   * [r] Number of PCs collected
+   */
+  size_t totalNumPcs;
+  /**
+   * [r] Number of PCs available for collection
+   */
+  size_t remainingNumPcs;
+  /**
+   * [r] Unique identifier for each range.
+   * Data collected across multiple ranges in multiple buffers can be identified using range id.
+   */
+  uint64_t rangeId;
+  /**
+   * [r] Profiled PC data
+   * This data struct should have enough memory to collect number of PCs mentioned in \brief collectNumPcs
+   */
+  CUpti_PCSamplingPCData *pPcData;
+  /**
+   * [r] Number of samples collected across all non user kernels PCs.
+   * It includes samples for non-user kernels.
+   * It includes counts for all non selected stall reasons as well.
+   * CUPTI does not provide PC records for non-user kernels.
+   */
+  uint64_t nonUsrKernelsTotalSamples;
+} CUpti_PCSamplingData;
+
+/**
+ * \brief PC Sampling configuration attributes
+ *
+ * PC Sampling configuration attribute types. These attributes can be read
+ * using \ref cuptiPCSamplingGetConfigurationAttribute and can be written
+ * using \ref cuptiPCSamplingSetConfigurationAttribute. Attributes marked
+ * [r] can only be read using \ref cuptiPCSamplingGetConfigurationAttribute
+ * [w] can only be written using \ref cuptiPCSamplingSetConfigurationAttribute
+ * [rw] can be read using \ref cuptiPCSamplingGetConfigurationAttribute and
+ * written using \ref cuptiPCSamplingSetConfigurationAttribute
+ */
+typedef enum
+{
+  CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_INVALID                            = 0,
+  /**
+   * [rw] Sampling period for PC Sampling.
+   * DEFAULT - CUPTI defined value based on number of SMs
+   * Valid values for the sampling
+   * periods are between 5 to 31 both inclusive. This will set the
+   * sampling period to (2^samplingPeriod) cycles.
+   * For e.g. for sampling period = 5 to 31, cycles = 32, 64, 128,..., 2^31
+   * Value is a uint32_t
+   */
+  CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_SAMPLING_PERIOD                    = 1,
+  /**
+   * [w] Number of stall reasons to collect.
+   * DEFAULT - All stall reasons will be collected
+   * Value is a size_t
+   * [w] Stall reasons to collect
+   * DEFAULT - All stall reasons will be collected
+   * Input value should be a pointer pointing to array of stall reason indexes
+   * containing all the stall reason indexes to collect.
+   */
+  CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_STALL_REASON                       = 2,
+  /**
+   * [rw] Size of SW buffer for raw PC counter data downloaded from HW buffer
+   * DEFAULT - 1 MB, which can accommodate approximately 5500 PCs
+   * with all stall reasons
+   * Approximately it takes 16 Bytes (and some fixed size memory)
+   * to accommodate one PC with one stall reason
+   * For e.g. 1 PC with 1 stall reason = 32 Bytes
+   *          1 PC with 2 stall reason = 48 Bytes
+   *          1 PC with 4 stall reason = 96 Bytes
+   * Value is a size_t
+   */
+  CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_SCRATCH_BUFFER_SIZE                = 3,
+  /**
+   * [rw] Size of HW buffer in bytes
+   * DEFAULT - 512 MB
+   * If sampling period is too less, HW buffer can overflow
+   * and drop PC data
+   * Value is a size_t
+   */
+  CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_HARDWARE_BUFFER_SIZE               = 4,
+  /**
+   * [rw] PC Sampling collection mode
+   * DEFAULT - CUPTI_PC_SAMPLING_COLLECTION_MODE_CONTINUOUS
+   * Input value should be of type \ref CUpti_PCSamplingCollectionMode.
+   */
+  CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_COLLECTION_MODE                    = 5,
+  /**
+   * [rw] Control over PC Sampling data collection range
+   * Default - 0
+   * 1 - Allows user to start and stop PC Sampling using APIs -
+   * \ref cuptiPCSamplingStart() - Start PC Sampling
+   * \ref cuptiPCSamplingStop() - Stop PC Sampling
+   * Value is a uint32_t
+   */
+  CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_ENABLE_START_STOP_CONTROL          = 6,
+  /**
+   * [w] Value for output data format
+   * Default - CUPTI_PC_SAMPLING_OUTPUT_DATA_FORMAT_PARSED
+   * Input value should be of type \ref CUpti_PCSamplingOutputDataFormat.
+   */
+  CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_OUTPUT_DATA_FORMAT                 = 7,
+  /**
+   * [w] Data buffer to hold collected PC Sampling data PARSED_DATA
+   * Default - none.
+   * Buffer type is void * which can point to PARSED_DATA
+   * Refer \ref CUpti_PCSamplingData for buffer format for PARSED_DATA
+   */
+  CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_SAMPLING_DATA_BUFFER               = 8,
+  CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_FORCE_INT                          = 0x7fffffff,
+} CUpti_PCSamplingConfigurationAttributeType;
+
+/**
+ * \brief PC sampling configuration information structure
+ *
+ * This structure provides \ref CUpti_PCSamplingConfigurationAttributeType which can be configured
+ * or queried for PC sampling configuration
+ */
+typedef struct
+{
+  /**
+   * Refer \ref CUpti_PCSamplingConfigurationAttributeType for all supported attribute types
+   */
+  CUpti_PCSamplingConfigurationAttributeType attributeType;
+  /*
+   * Configure or query status for \p attributeType
+   * CUPTI_SUCCESS for valid \p attributeType and \p attributeData
+   * CUPTI_ERROR_INVALID_OPERATION if \p attributeData is not valid
+   * CUPTI_ERROR_INVALID_PARAMETER if \p attributeType is not valid
+   */
+  CUptiResult attributeStatus;
+  union
+  {
+    /**
+     * Invalid Value
+     */
+    struct
+    {
+      uint64_t data[3];
+    } invalidData;
+    /**
+     * Refer \ref CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_SAMPLING_PERIOD
+     */
+    struct
+    {
+      uint32_t samplingPeriod;
+    } samplingPeriodData;
+    /**
+     * Refer \ref CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_STALL_REASON
+     */
+    struct
+    {
+      size_t stallReasonCount;
+      uint32_t *pStallReasonIndex;
+    } stallReasonData;
+    /**
+     * Refer \ref CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_SCRATCH_BUFFER_SIZE
+     */
+    struct
+    {
+      size_t scratchBufferSize;
+    } scratchBufferSizeData;
+    /**
+     * Refer \ref CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_HARDWARE_BUFFER_SIZE
+     */
+    struct
+    {
+      size_t hardwareBufferSize;
+    } hardwareBufferSizeData;
+    /**
+     * Refer \ref CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_COLLECTION_MODE
+     */
+    struct
+    {
+      CUpti_PCSamplingCollectionMode collectionMode;
+    } collectionModeData;
+    /**
+     * Refer \ref CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_ENABLE_START_STOP_CONTROL
+     */
+    struct
+    {
+      uint32_t enableStartStopControl;
+    } enableStartStopControlData;
+    /**
+     * Refer \ref CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_OUTPUT_DATA_FORMAT
+     */
+    struct
+    {
+      CUpti_PCSamplingOutputDataFormat outputDataFormat;
+    } outputDataFormatData;
+    /**
+     * Refer \ref CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_SAMPLING_DATA_BUFFER
+     */
+    struct
+    {
+      void *samplingDataBuffer;
+    } samplingDataBufferData;
+  } attributeData;
+} CUpti_PCSamplingConfigurationInfo;
+
+/**
+ * \brief PC sampling configuration structure
+ *
+ * This structure configures PC sampling using \ref cuptiPCSamplingSetConfigurationAttribute
+ * and queries PC sampling default configuration using \ref cuptiPCSamplingGetConfigurationAttribute
+ */
+typedef struct
+{
+  /**
+   * [w] Size of the data structure i.e. CUpti_PCSamplingConfigurationInfoParamsSize
+   * CUPTI client should set the size of the structure. It will be used in CUPTI to check what fields are
+   * available in the structure. Used to preserve backward compatibility.
+   */
+  size_t size;
+  /**
+   * [w] Assign to NULL
+   */
+  void* pPriv;
+  /**
+   * [w] CUcontext
+   */
+  CUcontext ctx;
+  /**
+   * [w] Number of attributes to configure using \ref cuptiPCSamplingSetConfigurationAttribute or query
+   * using \ref cuptiPCSamplingGetConfigurationAttribute
+   */
+  size_t numAttributes;
+  /**
+   * Refer \ref CUpti_PCSamplingConfigurationInfo
+   */
+  CUpti_PCSamplingConfigurationInfo *pPCSamplingConfigurationInfo;
+} CUpti_PCSamplingConfigurationInfoParams;
+#define CUpti_PCSamplingConfigurationInfoParamsSize                 CUPTI_PCSAMPLING_STRUCT_SIZE(CUpti_PCSamplingConfigurationInfoParams,pPCSamplingConfigurationInfo)
+
+/**
+ * \brief Write PC Sampling configuration attribute.
+ *
+ * \param pParams A pointer to \ref CUpti_PCSamplingConfigurationInfoParams
+ * containing PC sampling configuration.
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_OPERATION if this API is called with
+ * some invalid \p attrib.
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if attribute \p value is not valid
+ * or any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device
+ * does not support the API
+ */
+CUptiResult CUPTIAPI cuptiPCSamplingSetConfigurationAttribute(CUpti_PCSamplingConfigurationInfoParams *pParams);
+
+/**
+ * \brief Read PC Sampling configuration attribute.
+ *
+ * \param pParams A pointer to \ref CUpti_PCSamplingConfigurationInfoParams
+ * containing PC sampling configuration.
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_OPERATION if this API is called with
+ * some invalid attribute.
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if \p attrib is not valid
+ * or any \p pParams is not valid
+ * \retval CUPTI_ERROR_PARAMETER_SIZE_NOT_SUFFICIENT indicates that
+ * the \p value buffer is too small to hold the attribute value
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device
+ * does not support the API
+ */
+CUptiResult CUPTIAPI cuptiPCSamplingGetConfigurationAttribute(CUpti_PCSamplingConfigurationInfoParams *pParams);
+
+/**
+ * \brief Params for cuptiPCSamplingEnable
+ */
+typedef struct
+{
+  /**
+   * [w] Size of the data structure i.e. CUpti_PCSamplingGetDataParamsSize
+   * CUPTI client should set the size of the structure. It will be used in CUPTI to check what fields are
+   * available in the structure. Used to preserve backward compatibility.
+   */
+  size_t size;
+  /**
+   * [w] Assign to NULL
+   */
+  void* pPriv;
+  /**
+   * [w] CUcontext
+   */
+  CUcontext ctx;
+  /**
+   * \param pcSamplingData Data buffer to hold collected PC Sampling data PARSED_DATA
+   * Buffer type is void * which can point to PARSED_DATA
+   * Refer \ref CUpti_PCSamplingData for buffer format for PARSED_DATA
+   */
+  void *pcSamplingData;
+} CUpti_PCSamplingGetDataParams;
+#define CUpti_PCSamplingGetDataParamsSize                           CUPTI_PCSAMPLING_STRUCT_SIZE(CUpti_PCSamplingGetDataParams, pcSamplingData)
+/**
+ * \brief Flush GPU PC sampling data periodically.
+ *
+ * Flushing of GPU PC Sampling data is required at following point to maintain uniqueness of PCs:
+ * For \brief CUPTI_PC_SAMPLING_COLLECTION_MODE_CONTINUOUS, after every module load-unload-load
+ * For \brief CUPTI_PC_SAMPLING_COLLECTION_MODE_KERNEL_SERIALIZED, after every kernel ends
+ * If configuration option \brief CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_ENABLE_START_STOP_CONTROL
+ * is enabled, then after every range end i.e. \brief cuptiPCSamplingStop()
+ *
+ * If application is profiled in \brief CUPTI_PC_SAMPLING_COLLECTION_MODE_CONTINUOUS, with disabled
+ * \brief CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_ENABLE_START_STOP_CONTROL, and there is no module unload,
+ * user can collect data in two ways:
+ * Use \brief cuptiPCSamplingGetData() API periodically
+ * Use \brief cuptiPCSamplingDisable() on application exit and read GPU PC sampling data from sampling
+ * data buffer passed during configuration.
+ * Note: In case, \brief cuptiPCSamplingGetData() API is not called periodically, then sampling data buffer
+ * passed during configuration should be large enough to hold all PCs data.
+ *       \brief cuptiPCSamplingGetData() API never does device synchronization.
+ *       It is possible that when the API is called there is some unconsumed data from the HW buffer. In this case
+ * CUPTI provides only the data available with it at that moment.
+ *
+ * \param Refer \ref CUpti_PCSamplingGetDataParams
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_OPERATION if this API is called without
+ * enabling PC sampling.
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device
+ * does not support the API
+ */
+CUptiResult CUPTIAPI cuptiPCSamplingGetData(CUpti_PCSamplingGetDataParams *pParams);
+
+/**
+ * \brief Params for cuptiPCSamplingEnable
+ */
+typedef struct
+{
+  /**
+   * [w] Size of the data structure i.e. CUpti_PCSamplingEnableParamsSize
+   * CUPTI client should set the size of the structure. It will be used in CUPTI to check what fields are
+   * available in the structure. Used to preserve backward compatibility.
+   */
+  size_t size;
+  /**
+   * [w] Assign to NULL
+   */
+  void* pPriv;
+  /**
+   * [w] CUcontext
+   */
+  CUcontext ctx;
+} CUpti_PCSamplingEnableParams;
+#define CUpti_PCSamplingEnableParamsSize                           CUPTI_PCSAMPLING_STRUCT_SIZE(CUpti_PCSamplingEnableParams, ctx)
+
+/**
+ * \brief Enable PC sampling.
+ *
+ * \param Refer \ref CUpti_PCSamplingEnableParams
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device
+ * does not support the API
+ */
+CUptiResult CUPTIAPI cuptiPCSamplingEnable(CUpti_PCSamplingEnableParams *pParams);
+
+/**
+ * \brief Params for cuptiPCSamplingDisable
+ */
+typedef struct
+{
+  /**
+   * [w] Size of the data structure i.e. CUpti_PCSamplingDisableParamsSize
+   * CUPTI client should set the size of the structure. It will be used in CUPTI to check what fields are
+   * available in the structure. Used to preserve backward compatibility.
+   */
+  size_t size;
+  /**
+   * [w] Assign to NULL
+   */
+  void* pPriv;
+  /**
+   * [w] CUcontext
+   */
+  CUcontext ctx;
+} CUpti_PCSamplingDisableParams;
+#define CUpti_PCSamplingDisableParamsSize                           CUPTI_PCSAMPLING_STRUCT_SIZE(CUpti_PCSamplingDisableParams, ctx)
+
+/**
+ * \brief Disable PC sampling.
+ *
+ * For application which doesn't destroy the CUDA context explicitly,
+ * this API does the PC Sampling tear-down, joins threads and copies PC records in the buffer provided
+ * during the PC sampling configuration. PC records which can't be accommodated in the buffer are discarded.
+ *
+ * \param Refer \ref CUpti_PCSamplingDisableParams
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device
+ * does not support the API
+ */
+CUptiResult CUPTIAPI cuptiPCSamplingDisable(CUpti_PCSamplingDisableParams *pParams);
+
+/**
+ * \brief Params for cuptiPCSamplingStart
+ */
+typedef struct
+{
+  /**
+   * [w] Size of the data structure i.e. CUpti_PCSamplingStartParamsSize
+   * CUPTI client should set the size of the structure. It will be used in CUPTI to check what fields are
+   * available in the structure. Used to preserve backward compatibility.
+   */
+  size_t size;
+  /**
+   * [w] Assign to NULL
+   */
+  void* pPriv;
+  /**
+   * [w] CUcontext
+   */
+  CUcontext ctx;
+} CUpti_PCSamplingStartParams;
+#define CUpti_PCSamplingStartParamsSize                             CUPTI_PCSAMPLING_STRUCT_SIZE(CUpti_PCSamplingStartParams, ctx)
+
+/**
+ * \brief Start PC sampling.
+ *
+ * User can collect PC Sampling data for user-defined range specified by Start/Stop APIs.
+ * This API can be used to mark starting of range. Set configuration option
+ * \brief CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_ENABLE_START_STOP_CONTROL to use this API.
+ *
+ * \param Refer \ref CUpti_PCSamplingStartParams
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_OPERATION if this API is called with
+ * incorrect PC Sampling configuration.
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device
+ * does not support the API
+ */
+CUptiResult CUPTIAPI cuptiPCSamplingStart(CUpti_PCSamplingStartParams *pParams);
+
+/**
+ * \brief Params for cuptiPCSamplingStop
+ */
+typedef struct
+{
+  /**
+   * [w] Size of the data structure i.e. CUpti_PCSamplingStopParamsSize
+   * CUPTI client should set the size of the structure. It will be used in CUPTI to check what fields are
+   * available in the structure. Used to preserve backward compatibility.
+   */
+  size_t size;
+  /**
+   * [w] Assign to NULL
+   */
+  void* pPriv;
+  /**
+   * [w] CUcontext
+   */
+  CUcontext ctx;
+} CUpti_PCSamplingStopParams;
+#define CUpti_PCSamplingStopParamsSize                              CUPTI_PCSAMPLING_STRUCT_SIZE(CUpti_PCSamplingStopParams, ctx)
+
+/**
+ * \brief Stop PC sampling.
+ *
+ * User can collect PC Sampling data for user-defined range specified by Start/Stop APIs.
+ * This API can be used to mark end of range. Set configuration option
+ * \brief CUPTI_PC_SAMPLING_CONFIGURATION_ATTR_TYPE_ENABLE_START_STOP_CONTROL to use this API.
+ *
+ * \param Refer \ref CUpti_PCSamplingStopParams
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_OPERATION if this API is called with
+ * incorrect PC Sampling configuration.
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device
+ * does not support the API
+ */
+CUptiResult CUPTIAPI cuptiPCSamplingStop(CUpti_PCSamplingStopParams *pParams);
+
+/**
+ * \brief Params for cuptiPCSamplingGetNumStallReasons
+ */
+typedef struct
+{
+  /**
+   * [w] Size of the data structure i.e. CUpti_PCSamplingGetNumStallReasonsParamsSize
+   * CUPTI client should set the size of the structure. It will be used in CUPTI to check what fields are
+   * available in the structure. Used to preserve backward compatibility.
+   */
+  size_t size;
+  /**
+   * [w] Assign to NULL
+   */
+  void* pPriv;
+  /**
+   * [w] CUcontext
+   */
+  CUcontext ctx;
+  /**
+   * [r] Number of stall reasons
+   */
+  size_t *numStallReasons;
+} CUpti_PCSamplingGetNumStallReasonsParams;
+#define CUpti_PCSamplingGetNumStallReasonsParamsSize                CUPTI_PCSAMPLING_STRUCT_SIZE(CUpti_PCSamplingGetNumStallReasonsParams, numStallReasons)
+
+/**
+ * \brief Get PC sampling stall reason count.
+ *
+ * \param Refer \ref CUpti_PCSamplingGetNumStallReasonsParams
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device
+ * does not support the API
+ */
+CUptiResult CUPTIAPI cuptiPCSamplingGetNumStallReasons(CUpti_PCSamplingGetNumStallReasonsParams *pParams);
+
+/**
+ * \brief Params for cuptiPCSamplingGetStallReasons
+ */
+typedef struct
+{
+  /**
+   * [w] Size of the data structure i.e. CUpti_PCSamplingGetStallReasonsParamsSize
+   * CUPTI client should set the size of the structure. It will be used in CUPTI to check what fields are
+   * available in the structure. Used to preserve backward compatibility.
+   */
+  size_t size;
+  /**
+   * [w] Assign to NULL
+   */
+  void* pPriv;
+  /**
+   * [w] CUcontext
+   */
+  CUcontext ctx;
+  /**
+   * [w] Number of stall reasons
+   */
+  size_t numStallReasons;
+  /**
+   * [r] Stall reason index
+   */
+  uint32_t *stallReasonIndex;
+  /**
+   * [r] Stall reasons name
+   */
+  char **stallReasons;
+} CUpti_PCSamplingGetStallReasonsParams;
+#define CUpti_PCSamplingGetStallReasonsParamsSize                   CUPTI_PCSAMPLING_STRUCT_SIZE(CUpti_PCSamplingGetStallReasonsParams, stallReasons)
+
+/**
+ * \brief Get PC sampling stall reasons.
+ *
+ * \param Refer \ref CUpti_PCSamplingGetStallReasonsParams
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device
+ * does not support the API
+ */
+CUptiResult CUPTIAPI cuptiPCSamplingGetStallReasons(CUpti_PCSamplingGetStallReasonsParams *pParams);
+
+/**
+ * \brief Params for cuptiGetSassToSourceCorrelation
+ */
+typedef struct {
+  /**
+   * [w] Size of the data structure i.e. CUpti_GetSassToSourceCorrelationParamsSize
+   * CUPTI client should set the size of the structure. It will be used in CUPTI to check what fields are
+   * available in the structure. Used to preserve backward compatibility.
+   */
+  size_t size;
+  /**
+   * [w] Pointer to cubin binary where function belongs.
+   */
+  const void* cubin;
+  /**
+   * [w] Function name to which PC belongs.
+   */
+  const char *functionName;
+  /**
+   * [w] Size of cubin binary.
+   */
+  size_t cubinSize;
+  /**
+   * [r] Line number in the source code.
+   */
+  uint32_t lineNumber;
+  /**
+   * [w] PC offset
+   */
+  uint64_t pcOffset;
+  /**
+   * [r] Path for the source file.
+   */
+  char *fileName;
+  /**
+   * [r] Path for the directory of source file.
+   */
+  char *dirName;
+} CUpti_GetSassToSourceCorrelationParams;
+#define CUpti_GetSassToSourceCorrelationParamsSize     CUPTI_PCSAMPLING_STRUCT_SIZE(CUpti_GetSassToSourceCorrelationParams, dirName)
+
+/**
+ * \brief SASS to Source correlation.
+ *
+ * \param Refer \ref CUpti_GetSassToSourceCorrelationParams
+ *
+ * It is expected from user to free allocated memory for fileName and dirName after use.
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if either of the parameters cubin or functionName
+ * is NULL or cubinSize is zero or size field is not set correctly.
+ * \retval CUPTI_ERROR_INVALID_MODULE provided cubin is invalid.
+ * \retval CUPTI_ERROR_UNKNOWN an internal error occurred.
+ * This error code is also used for cases when the function is not present in the module.
+ * A better error code will be returned in the future release.
+ */
+CUptiResult CUPTIAPI cuptiGetSassToSourceCorrelation(CUpti_GetSassToSourceCorrelationParams *pParams);
+
+/**
+ * \brief Params for cuptiGetCubinCrc
+ */
+typedef struct {
+  /**
+   * [w] Size of configuration structure.
+   * CUPTI client should set the size of the structure. It will be used in CUPTI to check what fields are
+   * available in the structure. Used to preserve backward compatibility.
+   */
+  size_t size;
+  /**
+   * [w] Size of cubin binary.
+   */
+  size_t cubinSize;
+  /**
+   * [w] Pointer to cubin binary
+   */
+  const void* cubin;
+  /**
+   * [r] Computed CRC will be stored in it.
+   */
+  uint64_t cubinCrc;
+} CUpti_GetCubinCrcParams;
+#define CUpti_GetCubinCrcParamsSize     CUPTI_PCSAMPLING_STRUCT_SIZE(CUpti_GetCubinCrcParams, cubinCrc)
+
+/**
+ * \brief Get the CRC of cubin.
+ *
+ * This function returns the CRC of provided cubin binary.
+ *
+ * \param Refer \ref CUpti_GetCubinCrcParams
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if parameter cubin is NULL or
+ * provided cubinSize is zero or size field is not set.
+ */
+CUptiResult CUPTIAPI cuptiGetCubinCrc(CUpti_GetCubinCrcParams *pParams);
+
+/**
+ * \brief Function type for callback used by CUPTI to request crc of
+ * loaded module.
+ *
+ * This callback function ask for crc of provided module in function.
+ * The provided crc will be stored in PC sampling records i.e. in the field 'cubinCrc' of the PC sampling
+ * struct CUpti_PCSamplingPCData. The CRC is uses during the offline source correlation to uniquely identify the module.
+ *
+ * \param cubin The pointer to cubin binary
+ * \param cubinSize The size of cubin binary.
+ * \param cubinCrc Returns the computed crc of cubin.
+ */
+typedef void (CUPTIAPI *CUpti_ComputeCrcCallbackFunc)(
+    const void* cubin,
+    size_t cubinSize,
+    uint64_t *cubinCrc);
+
+/**
+ * \brief Register callback function with CUPTI to use
+ * your own algorithm to compute cubin crc.
+ *
+ * This function registers a callback function and it gets called
+ * from CUPTI when a CUDA module is loaded.
+ *
+ * \param funcComputeCubinCrc callback is invoked when a CUDA module
+ * is loaded.
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if \p funcComputeCubinCrc is NULL.
+ */
+CUptiResult CUPTIAPI cuptiRegisterComputeCrcCallback(CUpti_ComputeCrcCallbackFunc funcComputeCubinCrc);
+
+/** @} */ /* END CUPTI_PCSAMPLING_API */
+
+#if defined(__GNUC__) && defined(CUPTI_LIB)
+    #pragma GCC visibility pop
+#endif
+
+#if defined(__cplusplus)
+}
+#endif
+
+#endif /*_CUPTI_PCSAMPLING_H_*/

pllava/lib/python3.10/site-packages/nvidia/cuda_cupti/include/cupti_sass_metrics.h

@@ -0,0 +1,436 @@
+/*
+ * Copyright 2023 NVIDIA Corporation. All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+#if !defined(_CUPTI_SASS_METRICS_H_)
+#define _CUPTI_SASS_METRICS_H_
+
+#include <cuda.h>
+#include <cupti_result.h>
+#include <cupti_profiler_target.h>
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+#if defined(__GNUC__) && defined(CUPTI_LIB)
+    #pragma GCC visibility push(default)
+#endif
+
+/**
+ * \defgroup CUPTI_SASS_METRICS_API CUPTI SASS Metrics API
+ * Functions, types, and enums that implement the CUPTI SASS Metrics API.
+ * @{
+ */
+
+typedef enum
+{
+    /// SASS metric data will be collected at GPU level. 
+    /// In CUpti_SassMetricsGetDataProperties_Params struct the numOfInstances will be equal to 1
+    CUPTI_SASS_METRICS_OUTPUT_GRANULARITY_GPU = 0,
+
+    /// SASS metric data will be collected at SM level
+    /// In CUpti_SassMetricsGetDataProperties_Params struct the numOfInstances will be equal to number of SMs in the GPU
+    CUPTI_SASS_METRICS_OUTPUT_GRANULARITY_SM = 1,
+
+    /// SASS metric data will be collected at SM sub-partition level
+    /// In CUpti_SassMetricsGetDataProperties_Params struct the numOfInstances will be equal to number of SM sub-partitions in the GPU
+    CUPTI_SASS_METRICS_OUTPUT_GRANULARITY_SMSP = 2,
+
+    CUPTI_SASS_METRICS_OUTPUT_GRANULARITY_INVALID
+} CUpti_SassMetrics_OutputGranularity;
+
+typedef struct CUpti_SassMetrics_MetricDetails
+{
+    /// unique ID for the SASS metric
+    uint64_t metricId;
+    /// metric name
+    const char* pMetricName;
+    /// metric description
+    const char* pMetricDescription;
+} CUpti_SassMetrics_MetricDetails;
+
+/**
+ * \brief Params for cuptiSassMetricsGetNumOfMetrics
+ */
+typedef struct CUpti_SassMetrics_GetNumOfMetrics_Params
+{
+    /// [in] should be equal to CUpti_SassMetrics_GetNumOfMetrics_Params_STRUCT_SIZE
+    size_t structSize;
+    /// [in] assign to NULL
+    void* pPriv;
+    /// [in] chip name for which metrics will be queried
+    const char* pChipName;
+    /// [out] number of metrics supported for the queried chip
+    size_t numOfMetrics;
+} CUpti_SassMetrics_GetNumOfMetrics_Params;
+
+#define CUpti_SassMetrics_GetNumOfMetrics_Params_STRUCT_SIZE                 CUPTI_PROFILER_STRUCT_SIZE(CUpti_SassMetrics_GetNumOfMetrics_Params, numOfMetrics)
+
+/**
+ * \brief Get the number of supported SASS metrics for the chip.
+ * 
+ * \param pParams A pointer to \ref CUpti_SassMetrics_GetNumOfMetrics_Params
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device doesn't support SASS metric collection
+ */
+CUptiResult CUPTIAPI cuptiSassMetricsGetNumOfMetrics(CUpti_SassMetrics_GetNumOfMetrics_Params* pParams);
+
+/**
+ * \brief Params for cuptiSassMetricsGetMetrics
+ */
+typedef struct CUpti_SassMetrics_GetMetrics_Params
+{
+    /// [in] should be equal to CUpti_SassMetrics_GetMetrics_Params_STRUCT_SIZE
+    size_t structSize;
+    /// [in] assign to NULL
+    void* pPriv;
+    /// [in] chip name for which metrics will be queried
+    const char* pChipName;
+    /// [in] number of metrics supported for the queried chip (can be queried using cuptiSassMetricsGetNumOfMetrics())
+    size_t numOfMetrics;
+    /// [out] list of metrics supported for queried chip
+    CUpti_SassMetrics_MetricDetails* pMetricsList;
+} CUpti_SassMetrics_GetMetrics_Params;
+#define CUpti_SassMetrics_GetMetrics_Params_STRUCT_SIZE                 CUPTI_PROFILER_STRUCT_SIZE(CUpti_SassMetrics_GetMetrics_Params, pMetricsList)
+
+/**
+ * \brief Get the list of all supported SASS metrics for the chip.
+ * 
+ * \param pParams A pointer to \ref CUpti_SassMetrics_GetMetrics_Params
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device doesn't support SASS metric collection
+ */
+CUptiResult CUPTIAPI cuptiSassMetricsGetMetrics(CUpti_SassMetrics_GetMetrics_Params* pParams);
+
+/**
+ * \brief Params for cuptiSassMetricsGetProperties
+ */
+typedef struct CUpti_SassMetrics_GetProperties_Params
+{
+    /// [in] should be equal to CUpti_SassMetrics_GetProperties_Params_STRUCT_SIZE
+    size_t structSize;
+    /// [in] assign to NULL
+    void* pPriv;
+    /// [in] chip name for which metric will be queried
+    const char* pChipName;
+    /// [in] metric name
+    const char* pMetricName;
+    /// [out] returns the metric ID and the metric description
+    CUpti_SassMetrics_MetricDetails metric;
+} CUpti_SassMetrics_GetProperties_Params;
+#define CUpti_SassMetrics_GetProperties_Params_STRUCT_SIZE        CUPTI_PROFILER_STRUCT_SIZE(CUpti_SassMetrics_GetProperties_Params, metric)
+
+/**
+ * \brief Get metric properties for the queried metric.
+ * For a given metric the results will be put in CUpti_SassMetrics_MetricDetails which
+ * stores metric ID, description of the metric.
+ * 
+ * \param pParams A pointer to \ref CUpti_SassMetrics_GetProperties_Params
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device doesn't support SASS metric data collection
+ */
+CUptiResult CUPTIAPI cuptiSassMetricsGetProperties(CUpti_SassMetrics_GetProperties_Params *pParams);
+
+typedef struct CUpti_SassMetrics_Config
+{
+    /// [in] unique id for the SASS metric, can be queried using cuptiSassMetricsGetProperties()
+    uint64_t metricId;
+    /// [in] CUpti_SassMetrics_OutputGranularity
+    uint8_t outputGranularity;
+} CUpti_SassMetrics_Config;
+
+/**
+ * \brief Params for cuptiSassMetricsSetConfig
+ */
+typedef struct CUpti_SassMetricsSetConfig_Params
+{
+    /// [in] equal to CUpti_SassMetricsSetConfig_Params_STRUCT_SIZE
+    size_t structSize;
+    /// [in] assign to NULL
+    void* pPriv;
+    /// [in] num of metric configs, will be equal to number of metrics queried
+    size_t numOfMetricConfig;
+    /// [in] list of metric config generated for given sass metrics
+    CUpti_SassMetrics_Config* pConfigs;
+    /// [in] device index for which config will be set, user can call this once for
+    /// the device on which the the SASS metric data will be collected
+    uint32_t deviceIndex;
+} CUpti_SassMetricsSetConfig_Params;
+#define CUpti_SassMetricsSetConfig_Params_STRUCT_SIZE                    CUPTI_PROFILER_STRUCT_SIZE(CUpti_SassMetricsSetConfig_Params, deviceIndex)
+
+/**
+ * \brief Set config for the SASS metric data collection for a device.
+ * User need to call this API before calling any of the SASS metric data collection APIs.
+ * Each set config API call need to be followed by cuptiSassPatchingUnSetConfig API
+ * before calling the cuptiSassMetricsSetConfig() API again for the same device.
+ * 
+ * \param pParams A pointer to \ref CUpti_SassMetricsSetConfig_Params
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_INVALID_CONTEXT if any cuda context has not been created prior to this API call
+ * \retval CUPTI_ERROR_INVALID_OPERATION if this is called multiple times for the device without calling unset config API
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device doesn't support SASS metric data collection
+ */
+CUptiResult CUPTIAPI cuptiSassMetricsSetConfig(CUpti_SassMetricsSetConfig_Params *pParams);
+
+/**
+ * \brief Params for cuptiSassMetricsUnsetConfig
+ */
+typedef struct CUpti_SassMetricsUnsetConfig_Params
+{
+    /// [in] equal to CUpti_SassMetricsUnsetConfig_Params_STRUCT_SIZE
+    size_t structSize;
+    /// [in] assign to NULL
+    void* pPriv;
+    /// [in] device index for which SASS metric data collection config will get reset, user need to call this API for
+    /// all the devices on which the the SASS metric data collection have been configured.
+    uint32_t deviceIndex;
+} CUpti_SassMetricsUnsetConfig_Params;
+#define CUpti_SassMetricsUnsetConfig_Params_STRUCT_SIZE                  CUPTI_PROFILER_STRUCT_SIZE(CUpti_SassMetricsUnsetConfig_Params, deviceIndex)
+
+/**
+ * \brief Unset config API will reset the SASS metric data collection configuration for the device.
+ * Once this API called CUPTI will deallocate all the memory allocated and remove all
+ * the configuration for SASS metric data collection. User can only call this API for a device where
+ * cuptiSassMetricsSetConfig() API has been called earlier for the device.
+ * 
+ * \param pParams A pointer to \ref CUpti_SassMetricsSetConfig_Params
+ * 
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_INVALID_CONTEXT if any cuda context has not been created prior to this API call
+ * \retval CUPTI_ERROR_INVALID_OPERATION if this is called multiple times for the device without calling set config API
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device doesn't support SASS metric data collection
+ */
+CUptiResult CUPTIAPI cuptiSassMetricsUnsetConfig(CUpti_SassMetricsUnsetConfig_Params *pParams);
+
+/**
+ * \brief Params for cuptiSassMetricsEnable
+ */
+typedef struct CUpti_SassMetricsEnable_Params
+{
+    /// [in] equal to CUpti_SassMetricsEnable_Params_STRUCT_SIZE
+    size_t structSize;
+    /// [in] assign to NULL
+    void* pPriv;
+    /// [in] CUDA context on which SASS metric data collection will be enabled.
+    /// If set NULL, default context will be consider for SASS metric data collection.
+    CUcontext ctx;
+    /// [in] if false, all the functions will patched regardless of their execution with cuptiSassMetricsEnable() API call.
+    /// when this parameter is set to true, metric data collection for the function will be done at the very first execution in the enable/disble
+    /// range.
+    uint8_t enableLazyPatching;
+} CUpti_SassMetricsEnable_Params;
+#define CUpti_SassMetricsEnable_Params_STRUCT_SIZE                       CUPTI_PROFILER_STRUCT_SIZE(CUpti_SassMetricsEnable_Params, enableLazyPatching)
+
+/**
+ * \brief Sass metric data collection enable API will mark the start of a range, between which kernel
+ *  will be profiled for SASS metrics.
+ *
+ * \param pParams A pointer to \ref CUpti_SassMetricsEnable_Params
+ * 
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device doesn't support SASS metric data collection
+ * \retval CUPTI_ERROR_INVALID_CONTEXT if any cuda context has not been created prior to this API call
+ * \retval CUPTI_ERROR_INVALID_OPERATION if this API is called multiple times for a cuda context without calling 
+ * cuptiSassMetricsDisable() API or called before cuptiSassMetricsSetConfig() API call.
+ */
+CUptiResult CUPTIAPI cuptiSassMetricsEnable(CUpti_SassMetricsEnable_Params* pParams);
+
+/**
+ * \brief Params for cuptiSassMetricsDisable
+ */
+typedef struct CUpti_SassMetricsDisable_Params
+{
+    /// [in] equal to CUpti_SassMetricsDisable_Params_STRUCT_SIZE
+    size_t structSize;
+    /// [in] assign to NULL
+    void* pPriv;
+    /// [in] CUDA context on which SASS metric data collection will be disabled.
+    /// If set NULL, default context will be consider for SASS metric data collection.
+    CUcontext ctx;
+    /// [out] Num of dropped SASS records will be equal to numOfPatchedInstructions * numOfInstances.
+    /// Number of dropped records will be zero when data is flushed prior to calling the disable API.
+    size_t numOfDroppedRecords;
+} CUpti_SassMetricsDisable_Params;
+#define CUpti_SassMetricsDisable_Params_STRUCT_SIZE                      CUPTI_PROFILER_STRUCT_SIZE(CUpti_SassMetricsDisable_Params, numOfDroppedRecords)
+
+/**
+ * \brief SASS metric data collection disable API will mark the end of a range, any kernel launched after this
+ * API call will not be profiled for the SASS metrics.
+ *
+ * \param pParams A pointer to \ref CUpti_SassMetricsDisable_Params
+ * 
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device doesn't support SASS metric data collection
+ * \retval CUPTI_ERROR_INVALID_CONTEXT if any cuda context has not been created prior to this API call
+ * \retval CUPTI_ERROR_INVALID_OPERATION if this API is called multiple times for a cuda context without calling 
+ * cuptiSassMetricsEnable() API or called before cuptiSassMetricsSetConfig() API call.
+ */
+CUptiResult CUPTIAPI cuptiSassMetricsDisable(CUpti_SassMetricsDisable_Params* pParams);
+
+/**
+ * \brief Params for cuptiSassMetricsGetDataProperties
+ */
+typedef struct CUpti_SassMetricsGetDataProperties_Params
+{
+    /// [in] equal to CUpti_SassMetricsGetDataProperties_Params_STRUCT_SIZE
+    size_t structSize;
+    /// [in] assign to NULL
+    void* pPriv;
+    /// [in] CUDA context on which SASS metric data collection was enabled.
+    /// If set NULL, default context will be consider for SASS metric data collection.
+    CUcontext ctx;
+    /// [out] total number of SASS records has been collected
+    size_t numOfPatchedInstructionRecords;
+    /// [out] number of instances for each metric value per instruction.
+    /// This will depend on CUpti_SassPatching_OutputGranularity level set for the metric config.
+    size_t numOfInstances;
+} CUpti_SassMetricsGetDataProperties_Params;
+
+#define CUpti_SassMetricsGetDataProperties_Params_STRUCT_SIZE           CUPTI_PROFILER_STRUCT_SIZE(CUpti_SassMetricsGetDataProperties_Params, numOfInstances)
+/**
+ * \brief SASS metric data properties API will give the data regarding number of instances of a metric
+ * value and number of SASS instruction data has been collected. The number of instances of a metric
+ * will vary as per user set the output granularity level with CUpti_SassMetrics_OutputGranularity value.
+ * User need to allocate memory for retriving the SASS data using cuptiSassMetricsFlushData() API.
+ * 
+ * \param pParams A pointer to \ref CUpti_SassMetricsGetDataProperties_Params
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device doesn't support SASS metric data collection
+ * \retval CUPTI_ERROR_INVALID_OPERATION if this API is called outside the enable/disable range.
+ */
+CUptiResult CUPTIAPI cuptiSassMetricsGetDataProperties(CUpti_SassMetricsGetDataProperties_Params* pParams);
+
+typedef struct CUpti_SassMetrics_InstanceValue
+{
+    // unique id of the metric
+    uint64_t metricId;
+    // metric value 
+    uint64_t value;
+} CUpti_SassMetrics_InstanceValue;
+#define CUpti_SassMetrics_InstanceValue_STRUCT_SIZE                      CUPTI_PROFILER_STRUCT_SIZE(CUpti_SassMetrics_InstanceValue, value)
+
+typedef struct CUpti_SassMetrics_Data
+{
+    /// [in] equal to CUpti_SassMetricsFlushData_Params_STRUCT_SIZE
+    size_t structSize;
+    /// [in] assign to NULL
+    void* pPriv;
+    /// [out] Unique cubin id
+    uint32_t cubinCrc;
+    /// [out] function's unique symbol index in the module.
+    uint32_t functionIndex;
+    /// [out] The function name
+    const char* functionName;
+    /// [out] pc offset for the function in a module
+    uint32_t pcOffset;
+    /// [out] array of size equal to number of instances per metric, which contains the metric ID and metric value.
+    CUpti_SassMetrics_InstanceValue* pInstanceValues;
+} CUpti_SassMetrics_Data;
+
+/**
+ * \brief Params for cuptiSassMetricsFlushData
+ */
+typedef struct CUpti_SassMetricsFlushData_Params
+{
+    /// [in] equal to CUpti_SassMetricsFlushData_Params_STRUCT_SIZE
+    size_t structSize;
+    /// [in] assign to NULL
+    void* pPriv;
+    /// [in] CUDA context on which SASS metric data collection was enabled.
+    /// If set NULL, default context will be consider for SASS metric data collection.
+    CUcontext ctx;
+    /// [in] number of patched instruction record will be retrived, user can call cuptiSassMetricsGetDataProperties()
+    /// for getting total number of records available.
+    size_t numOfPatchedInstructionRecords;
+    /// [in] number of patched instruction record instances for a metric, user can call cuptiSassMetricsGetDataProperties()
+    /// for getting total number of instances for each record per metric available.
+    size_t numOfInstances;
+    /// [out] 
+    CUpti_SassMetrics_Data* pMetricsData;
+} CUpti_SassMetricsFlushData_Params;
+#define CUpti_SassMetricsFlushData_Params_STRUCT_SIZE                      CUPTI_PROFILER_STRUCT_SIZE(CUpti_SassMetricsFlushData_Params, numOfInstances)
+
+/**
+ * \brief Flush SASS metrics data from CUPTI internal buffer to the user buffer.
+ * User needs to allocate the buffer for retrieving the data. The number of records collected
+ * can be queried using the API cuptiSassMetricsGetDataProperties().
+ *
+ * \param pParams A pointer to \ref CUpti_SassMetricsFlushData_Params
+ *
+ * \retval CUPTI_SUCCESS
+ * \retval CUPTI_ERROR_INVALID_PARAMETER if any \p pParams is not valid
+ * \retval CUPTI_ERROR_NOT_SUPPORTED indicates that the system/device doesn't support SASS metric data collection.
+ * \retval CUPTI_ERROR_INVALID_OPERATION if this API is called outside the enable/disable range.
+ */
+CUptiResult CUPTIAPI cuptiSassMetricsFlushData(CUpti_SassMetricsFlushData_Params* pParams);
+
+/** @} */ /* END CUPTI_SASS_METRICS_API */
+
+#if defined(__GNUC__) && defined(CUPTI_LIB)
+    #pragma GCC visibility pop
+#endif
+
+#ifdef __cplusplus
+} /* extern "C" */
+#endif
+
+#endif // _CUPTI_SASS_METRICS_H_

pllava/lib/python3.10/site-packages/nvidia/cuda_cupti/include/generated_cudaGL_meta.h

@@ -0,0 +1,116 @@
+// This file is generated.  Any changes you make will be lost during the next clean build.
+
+// Dependent includes
+#ifdef __APPLE__
+#include <OpenGL/gl.h>
+#else
+#include <GL/gl.h>
+#endif
+
+// CUDA public interface, for type definitions and cu* function prototypes
+#include "cudaGL.h"
+
+
+// *************************************************************************
+//      Definitions of structs to hold parameters for each function
+// *************************************************************************
+
+typedef struct cuGraphicsGLRegisterBuffer_params_st {
+    CUgraphicsResource *pCudaResource;
+    GLuint buffer;
+    unsigned int Flags;
+} cuGraphicsGLRegisterBuffer_params;
+
+typedef struct cuGraphicsGLRegisterImage_params_st {
+    CUgraphicsResource *pCudaResource;
+    GLuint image;
+    GLenum target;
+    unsigned int Flags;
+} cuGraphicsGLRegisterImage_params;
+
+typedef struct cuGLGetDevices_v2_params_st {
+    unsigned int *pCudaDeviceCount;
+    CUdevice *pCudaDevices;
+    unsigned int cudaDeviceCount;
+    CUGLDeviceList deviceList;
+} cuGLGetDevices_v2_params;
+
+typedef struct cuGLCtxCreate_v2_params_st {
+    CUcontext *pCtx;
+    unsigned int Flags;
+    CUdevice device;
+} cuGLCtxCreate_v2_params;
+
+typedef struct cuGLRegisterBufferObject_params_st {
+    GLuint buffer;
+} cuGLRegisterBufferObject_params;
+
+typedef struct cuGLMapBufferObject_v2_ptds_params_st {
+    CUdeviceptr *dptr;
+    size_t *size;
+    GLuint buffer;
+} cuGLMapBufferObject_v2_ptds_params;
+
+typedef struct cuGLUnmapBufferObject_params_st {
+    GLuint buffer;
+} cuGLUnmapBufferObject_params;
+
+typedef struct cuGLUnregisterBufferObject_params_st {
+    GLuint buffer;
+} cuGLUnregisterBufferObject_params;
+
+typedef struct cuGLSetBufferObjectMapFlags_params_st {
+    GLuint buffer;
+    unsigned int Flags;
+} cuGLSetBufferObjectMapFlags_params;
+
+typedef struct cuGLMapBufferObjectAsync_v2_ptsz_params_st {
+    CUdeviceptr *dptr;
+    size_t *size;
+    GLuint buffer;
+    CUstream hStream;
+} cuGLMapBufferObjectAsync_v2_ptsz_params;
+
+typedef struct cuGLUnmapBufferObjectAsync_params_st {
+    GLuint buffer;
+    CUstream hStream;
+} cuGLUnmapBufferObjectAsync_params;
+
+typedef struct cuGLGetDevices_params_st {
+    unsigned int *pCudaDeviceCount;
+    CUdevice *pCudaDevices;
+    unsigned int cudaDeviceCount;
+    CUGLDeviceList deviceList;
+} cuGLGetDevices_params;
+
+typedef struct cuGLMapBufferObject_v2_params_st {
+    CUdeviceptr *dptr;
+    size_t *size;
+    GLuint buffer;
+} cuGLMapBufferObject_v2_params;
+
+typedef struct cuGLMapBufferObjectAsync_v2_params_st {
+    CUdeviceptr *dptr;
+    size_t *size;
+    GLuint buffer;
+    CUstream hStream;
+} cuGLMapBufferObjectAsync_v2_params;
+
+typedef struct cuGLCtxCreate_params_st {
+    CUcontext *pCtx;
+    unsigned int Flags;
+    CUdevice device;
+} cuGLCtxCreate_params;
+
+typedef struct cuGLMapBufferObject_params_st {
+    CUdeviceptr_v1 *dptr;
+    unsigned int *size;
+    GLuint buffer;
+} cuGLMapBufferObject_params;
+
+typedef struct cuGLMapBufferObjectAsync_params_st {
+    CUdeviceptr_v1 *dptr;
+    unsigned int *size;
+    GLuint buffer;
+    CUstream hStream;
+} cuGLMapBufferObjectAsync_params;

pllava/lib/python3.10/site-packages/nvidia/cuda_cupti/include/generated_cudaVDPAU_meta.h

@@ -0,0 +1,46 @@
+// This file is generated.  Any changes you make will be lost during the next clean build.
+
+// Dependent includes
+#include <vdpau/vdpau.h>
+
+// CUDA public interface, for type definitions and cu* function prototypes
+#include "cudaVDPAU.h"
+
+
+// *************************************************************************
+//      Definitions of structs to hold parameters for each function
+// *************************************************************************
+
+typedef struct cuVDPAUGetDevice_params_st {
+    CUdevice *pDevice;
+    VdpDevice vdpDevice;
+    VdpGetProcAddress *vdpGetProcAddress;
+} cuVDPAUGetDevice_params;
+
+typedef struct cuVDPAUCtxCreate_v2_params_st {
+    CUcontext *pCtx;
+    unsigned int flags;
+    CUdevice device;
+    VdpDevice vdpDevice;
+    VdpGetProcAddress *vdpGetProcAddress;
+} cuVDPAUCtxCreate_v2_params;
+
+typedef struct cuGraphicsVDPAURegisterVideoSurface_params_st {
+    CUgraphicsResource *pCudaResource;
+    VdpVideoSurface vdpSurface;
+    unsigned int flags;
+} cuGraphicsVDPAURegisterVideoSurface_params;
+
+typedef struct cuGraphicsVDPAURegisterOutputSurface_params_st {
+    CUgraphicsResource *pCudaResource;
+    VdpOutputSurface vdpSurface;
+    unsigned int flags;
+} cuGraphicsVDPAURegisterOutputSurface_params;
+
+typedef struct cuVDPAUCtxCreate_params_st {
+    CUcontext *pCtx;
+    unsigned int flags;
+    CUdevice device;
+    VdpDevice vdpDevice;
+    VdpGetProcAddress *vdpGetProcAddress;
+} cuVDPAUCtxCreate_params;

pllava/lib/python3.10/site-packages/nvidia/cuda_cupti/include/generated_cuda_vdpau_interop_meta.h

@@ -0,0 +1,38 @@
+// This file is generated.  Any changes you make will be lost during the next clean build.
+
+// CUDA public interface, for type definitions and api function prototypes
+#include "cuda_vdpau_interop.h"
+
+// *************************************************************************
+//      Definitions of structs to hold parameters for each function
+// *************************************************************************
+
+// Currently used parameter trace structures
+typedef struct cudaVDPAUGetDevice_v3020_params_st {
+    int *device;
+    VdpDevice vdpDevice;
+    VdpGetProcAddress *vdpGetProcAddress;
+} cudaVDPAUGetDevice_v3020_params;
+
+typedef struct cudaVDPAUSetVDPAUDevice_v3020_params_st {
+    int device;
+    VdpDevice vdpDevice;
+    VdpGetProcAddress *vdpGetProcAddress;
+} cudaVDPAUSetVDPAUDevice_v3020_params;
+
+typedef struct cudaGraphicsVDPAURegisterVideoSurface_v3020_params_st {
+    struct cudaGraphicsResource **resource;
+    VdpVideoSurface vdpSurface;
+    unsigned int flags;
+} cudaGraphicsVDPAURegisterVideoSurface_v3020_params;
+
+typedef struct cudaGraphicsVDPAURegisterOutputSurface_v3020_params_st {
+    struct cudaGraphicsResource **resource;
+    VdpOutputSurface vdpSurface;
+    unsigned int flags;
+} cudaGraphicsVDPAURegisterOutputSurface_v3020_params;
+
+// Parameter trace structures for removed functions
+
+
+// End of parameter trace structures

pllava/lib/python3.10/site-packages/nvidia/cuda_cupti/include/nvperf_target.h

@@ -0,0 +1,570 @@
+#ifndef NVPERF_TARGET_H
+#define NVPERF_TARGET_H
+
+/*
+ * Copyright 2014-2022  NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO USER:
+ *
+ * This source code is subject to NVIDIA ownership rights under U.S. and
+ * international Copyright laws.
+ *
+ * This software and the information contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions
+ * of a form of NVIDIA software license agreement.
+ *
+ * NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE
+ * CODE FOR ANY PURPOSE.  IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR
+ * IMPLIED WARRANTY OF ANY KIND.  NVIDIA DISCLAIMS ALL WARRANTIES WITH
+ * REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF
+ * MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL,
+ * OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
+ * OF USE, DATA OR PROFITS,  WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE
+ * OR OTHER TORTIOUS ACTION,  ARISING OUT OF OR IN CONNECTION WITH THE USE
+ * OR PERFORMANCE OF THIS SOURCE CODE.
+ *
+ * U.S. Government End Users.   This source code is a "commercial item" as
+ * that term is defined at  48 C.F.R. 2.101 (OCT 1995), consisting  of
+ * "commercial computer  software"  and "commercial computer software
+ * documentation" as such terms are  used in 48 C.F.R. 12.212 (SEPT 1995)
+ * and is provided to the U.S. Government only as a commercial end item.
+ * Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through
+ * 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the
+ * source code with only those rights set forth herein.
+ *
+ * Any use of this source code in individual and commercial software must
+ * include, in the user documentation and internal comments to the code,
+ * the above Disclaimer and U.S. Government End Users Notice.
+ */
+
+#include <stddef.h>
+#include <stdint.h>
+#include "nvperf_common.h"
+
+#if defined(__GNUC__) && defined(NVPA_SHARED_LIB)
+    #pragma GCC visibility push(default)
+    #if !defined(NVPW_LOCAL)
+        #define NVPW_LOCAL __attribute__ ((visibility ("hidden")))
+    #endif
+#else
+    #if !defined(NVPW_LOCAL)
+        #define NVPW_LOCAL
+    #endif
+#endif
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/**
+ *  @file   nvperf_target.h
+ */
+
+#ifndef NVPW_GPU_ARCHITECTURE_SUPPORT_LEVEL_DEFINED
+#define NVPW_GPU_ARCHITECTURE_SUPPORT_LEVEL_DEFINED
+    /// GPU architecture support level
+    typedef enum NVPW_GpuArchitectureSupportLevel
+    {
+        NVPW_GPU_ARCHITECTURE_SUPPORT_LEVEL_UNKNOWN = 0,
+        NVPW_GPU_ARCHITECTURE_SUPPORT_LEVEL_UNSUPPORTED,
+        NVPW_GPU_ARCHITECTURE_SUPPORT_LEVEL_SUPPORTED
+    } NVPW_GpuArchitectureSupportLevel;
+#endif //NVPW_GPU_ARCHITECTURE_SUPPORT_LEVEL_DEFINED
+
+#ifndef NVPW_SLI_SUPPORT_LEVEL_DEFINED
+#define NVPW_SLI_SUPPORT_LEVEL_DEFINED
+    /// SLI configuration support level
+    typedef enum NVPW_SliSupportLevel
+    {
+        NVPW_SLI_SUPPORT_LEVEL_UNKNOWN = 0,
+        NVPW_SLI_SUPPORT_LEVEL_UNSUPPORTED,
+        /// Only Non-SLI configurations are supported.
+        NVPW_SLI_SUPPORT_LEVEL_SUPPORTED_NON_SLI_CONFIGURATION
+    } NVPW_SliSupportLevel;
+#endif //NVPW_SLI_SUPPORT_LEVEL_DEFINED
+
+#ifndef NVPW_VGPU_SUPPORT_LEVEL_DEFINED
+#define NVPW_VGPU_SUPPORT_LEVEL_DEFINED
+    /// Virtualized GPU configuration support level
+    typedef enum NVPW_VGpuSupportLevel
+    {
+        NVPW_VGPU_SUPPORT_LEVEL_UNKNOWN = 0,
+        NVPW_VGPU_SUPPORT_LEVEL_UNSUPPORTED,
+        /// Supported but not allowed by system admin.
+        NVPW_VGPU_SUPPORT_LEVEL_SUPPORTED_DISALLOWED,
+        NVPW_VGPU_SUPPORT_LEVEL_SUPPORTED_ALLOWED,
+        NVPW_VGPU_SUPPORT_LEVEL_SUPPORTED_NON_VGPU_CONFIGURATION
+    } NVPW_VGpuSupportLevel;
+#endif //NVPW_VGPU_SUPPORT_LEVEL_DEFINED
+
+#ifndef NVPW_CONF_COMPUTE_SUPPORT_LEVEL_DEFINED
+#define NVPW_CONF_COMPUTE_SUPPORT_LEVEL_DEFINED
+    /// Confidential Compute mode support level
+    typedef enum NVPW_ConfidentialComputeSupportLevel
+    {
+        NVPW_CONF_COMPUTE_SUPPORT_LEVEL_UNKNOWN = 0,
+        NVPW_CONF_COMPUTE_SUPPORT_LEVEL_UNSUPPORTED,
+        NVPW_CONF_COMPUTE_SUPPORT_LEVEL_SUPPORTED_NON_CONF_COMPUTE_CONFIGURATION
+    } NVPW_ConfidentialComputeSupportLevel;
+#endif //NVPW_CONF_COMPUTE_SUPPORT_LEVEL_DEFINED
+
+#ifndef NVPW_CMP_SUPPORT_LEVEL_DEFINED
+#define NVPW_CMP_SUPPORT_LEVEL_DEFINED
+    /// CMP support level
+    typedef enum NVPW_CmpSupportLevel
+    {
+        NVPW_CMP_SUPPORT_LEVEL_UNKNOWN = 0,
+        NVPW_CMP_SUPPORT_LEVEL_UNSUPPORTED,
+        NVPW_CMP_SUPPORT_LEVEL_SUPPORTED_NON_CMP_CONFIGURATON
+    } NVPW_CmpSupportLevel;
+#endif //NVPW_CMP_SUPPORT_LEVEL_DEFINED
+
+#ifndef NVPW_WSL_SUPPORT_LEVEL_DEFINED
+#define NVPW_WSL_SUPPORT_LEVEL_DEFINED
+    /// WSL support level
+    typedef enum NVPW_WslSupportLevel
+    {
+        NVPW_WSL_SUPPORT_LEVEL_UNKNOWN = 0,
+        NVPW_WSL_SUPPORT_LEVEL_UNSUPPORTED_INSUFFICIENT_DRIVER_VERSION,
+        NVPW_WSL_SUPPORT_LEVEL_SUPPORTED,
+        NVPW_WSL_SUPPORT_LEVEL_SUPPORTED_NON_WSL_CONFIGURATION
+    } NVPW_WslSupportLevel;
+#endif //NVPW_WSL_SUPPORT_LEVEL_DEFINED
+
+    typedef struct NVPW_InitializeTarget_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+    } NVPW_InitializeTarget_Params;
+#define NVPW_InitializeTarget_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_InitializeTarget_Params, pPriv)
+
+    /// Load the target library.
+    NVPA_Status NVPW_InitializeTarget(NVPW_InitializeTarget_Params* pParams);
+
+    typedef struct NVPW_GetDeviceCount_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        size_t numDevices;
+    } NVPW_GetDeviceCount_Params;
+#define NVPW_GetDeviceCount_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_GetDeviceCount_Params, numDevices)
+
+    NVPA_Status NVPW_GetDeviceCount(NVPW_GetDeviceCount_Params* pParams);
+
+    typedef struct NVPW_Device_GetNames_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        size_t deviceIndex;
+        const char* pDeviceName;
+        const char* pChipName;
+    } NVPW_Device_GetNames_Params;
+#define NVPW_Device_GetNames_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_Device_GetNames_Params, pChipName)
+
+    NVPA_Status NVPW_Device_GetNames(NVPW_Device_GetNames_Params* pParams);
+
+    typedef struct NVPW_PciBusId
+    {
+        /// The PCI domain on which the device bus resides.
+        uint32_t domain;
+        ///  The bus on which the device resides.
+        uint16_t bus;
+        /// device ID.
+        uint16_t device;
+    } NVPW_PciBusId;
+#define NVPW_PciBusId_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_PciBusId, device)
+
+    typedef struct NVPW_Device_GetPciBusIds_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        /// [in] caller-allocated array of NVPW_PciBusId, indexed by NVPW deviceIndex
+        NVPW_PciBusId* pBusIds;
+        /// [in] size of the pBusIDs array; use result from NVPW_GetDeviceCount
+        size_t numDevices;
+    } NVPW_Device_GetPciBusIds_Params;
+#define NVPW_Device_GetPciBusIds_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_Device_GetPciBusIds_Params, numDevices)
+
+    NVPA_Status NVPW_Device_GetPciBusIds(NVPW_Device_GetPciBusIds_Params* pParams);
+
+
+#define NVPW_DEVICE_MIG_GPU_INSTANCE_ID_INVALID     0xFFFFFFFFu
+#define NVPW_DEVICE_MIG_GPU_INSTANCE_ID_FULLCHIP    0xFFFFFFFEu
+
+
+    typedef struct NVPW_Device_GetMigAttributes_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        /// [in]
+        size_t deviceIndex;
+        /// [out]
+        NVPA_Bool isMigPartition;
+        /// [out]
+        uint32_t gpuInstanceId;
+        /// [out]
+        uint32_t computeInstanceId;
+    } NVPW_Device_GetMigAttributes_Params;
+#define NVPW_Device_GetMigAttributes_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_Device_GetMigAttributes_Params, computeInstanceId)
+
+    NVPA_Status NVPW_Device_GetMigAttributes(NVPW_Device_GetMigAttributes_Params* pParams);
+
+    typedef struct NVPW_Adapter_GetDeviceIndex_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        /// [in]
+        struct IDXGIAdapter* pAdapter;
+        /// [in]
+        size_t sliIndex;
+        /// [out]
+        size_t deviceIndex;
+    } NVPW_Adapter_GetDeviceIndex_Params;
+#define NVPW_Adapter_GetDeviceIndex_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_Adapter_GetDeviceIndex_Params, deviceIndex)
+
+    NVPA_Status NVPW_Adapter_GetDeviceIndex(NVPW_Adapter_GetDeviceIndex_Params* pParams);
+
+    typedef struct NVPW_CounterData_GetNumRanges_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        const uint8_t* pCounterDataImage;
+        size_t numRanges;
+    } NVPW_CounterData_GetNumRanges_Params;
+#define NVPW_CounterData_GetNumRanges_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_CounterData_GetNumRanges_Params, numRanges)
+
+    NVPA_Status NVPW_CounterData_GetNumRanges(NVPW_CounterData_GetNumRanges_Params* pParams);
+
+    typedef struct NVPW_CounterData_GetChipName_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        /// [in]
+        const uint8_t* pCounterDataImage;
+        /// [in]
+        size_t counterDataImageSize;
+        /// [out]
+        const char* pChipName;
+    } NVPW_CounterData_GetChipName_Params;
+#define NVPW_CounterData_GetChipName_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_CounterData_GetChipName_Params, pChipName)
+
+    NVPA_Status NVPW_CounterData_GetChipName(NVPW_CounterData_GetChipName_Params* pParams);
+
+    typedef struct NVPW_Config_GetNumPasses_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        /// [in]
+        const uint8_t* pConfig;
+        /// [out]
+        size_t numPipelinedPasses;
+        /// [out]
+        size_t numIsolatedPasses;
+    } NVPW_Config_GetNumPasses_Params;
+#define NVPW_Config_GetNumPasses_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_Config_GetNumPasses_Params, numIsolatedPasses)
+
+    /// Total num passes = numPipelinedPasses + numIsolatedPasses * numNestingLevels
+    NVPA_Status NVPW_Config_GetNumPasses(NVPW_Config_GetNumPasses_Params* pParams);
+
+    typedef struct NVPW_Config_GetNumPasses_V2_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        /// [in]
+        const uint8_t* pConfig;
+        /// [out]
+        size_t numPasses;
+    } NVPW_Config_GetNumPasses_V2_Params;
+#define NVPW_Config_GetNumPasses_V2_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_Config_GetNumPasses_V2_Params, numPasses)
+
+    /// Total num passes = numPasses * numNestingLevels
+    NVPA_Status NVPW_Config_GetNumPasses_V2(NVPW_Config_GetNumPasses_V2_Params* pParams);
+
+#define NVPW_API_SET_CUDA_PROFILER             0x18209d0775b2f89dULL
+
+#define NVPW_API_SET_D3D11_PROFILER            0xca55c6738445db2bULL
+
+#define NVPW_API_SET_D3D12_PROFILER            0xc0c2d46dd7c7ad78ULL
+
+#define NVPW_API_SET_EGL_PROFILER              0x3c3747dae1f9565cULL
+
+#define NVPW_API_SET_GPU_PERIODICSAMPLER       0x9f4c2571fc0b2e8aULL
+
+#define NVPW_API_SET_METRICSCONTEXT            0x7c8579f6f2144beaULL
+
+#define NVPW_API_SET_METRICSEVALUATOR          0x0368a8768d811af9ULL
+
+#define NVPW_API_SET_METRICS_GA100_COMP        0x16b7d8c20d8b4915ULL
+
+#define NVPW_API_SET_METRICS_GA100_GRFX        0xc94eaabec04a94faULL
+
+#define NVPW_API_SET_METRICS_GA10X_COMP        0xb5d6391c2e299ab5ULL
+
+#define NVPW_API_SET_METRICS_GA10X_GRFX        0x6ebc121178b5ce0bULL
+
+#define NVPW_API_SET_METRICS_GV100_COMP        0x863705cc57919f72ULL
+
+#define NVPW_API_SET_METRICS_GV100_GRFX        0x9900da75d164fecfULL
+
+#define NVPW_API_SET_METRICS_GV11B_COMP        0xd3f79a859235848fULL
+
+#define NVPW_API_SET_METRICS_GV11B_GRFX        0xeb8e26220106e227ULL
+
+#define NVPW_API_SET_METRICS_TU10X_COMP        0x70f40be0afd35da8ULL
+
+#define NVPW_API_SET_METRICS_TU10X_GRFX        0xdf219cb838db6968ULL
+
+#define NVPW_API_SET_METRICS_TU11X_COMP        0xeb0069d7d0956678ULL
+
+#define NVPW_API_SET_METRICS_TU11X_GRFX        0x0977d9342bd62743ULL
+
+#define NVPW_API_SET_OPENGL_PROFILER           0xe4cd9ea40f2ee777ULL
+
+#define NVPW_API_SET_VULKAN_PROFILER           0x8c56b6a03d779689ULL
+
+    typedef struct NVPW_QueryVersionNumber_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        /// [in]
+        uint64_t apiSet;
+        /// [out]
+        uint32_t major;
+        /// [out]
+        uint32_t minor;
+        /// [out]
+        uint32_t patch;
+        /// [out]
+        uint32_t relMajor;
+        /// [out]
+        uint32_t relMinor;
+        /// [out]
+        uint32_t relPatch;
+    } NVPW_QueryVersionNumber_Params;
+#define NVPW_QueryVersionNumber_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_QueryVersionNumber_Params, relPatch)
+
+    /// Query version number of an API set
+    NVPA_Status NVPW_QueryVersionNumber(NVPW_QueryVersionNumber_Params* pParams);
+
+    typedef enum NVPW_Device_ClockStatus
+    {
+        /// clock status is unknown
+        NVPW_DEVICE_CLOCK_STATUS_UNKNOWN,
+        /// clocks are locked to rated tdp values
+        NVPW_DEVICE_CLOCK_STATUS_LOCKED_TO_RATED_TDP,
+        /// clocks are not locked and can boost above rated tdp
+        NVPW_DEVICE_CLOCK_STATUS_BOOST_ENABLED,
+        /// clocks are not locked and will not go above rated tdp
+        NVPW_DEVICE_CLOCK_STATUS_BOOST_DISABLED,
+        NVPW_DEVICE_CLOCK_STATUS__COUNT
+    } NVPW_Device_ClockStatus;
+
+    typedef struct NVPW_Device_GetClockStatus_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        size_t deviceIndex;
+        /// [in]
+        NVPW_Device_ClockStatus clockStatus;
+    } NVPW_Device_GetClockStatus_Params;
+#define NVPW_Device_GetClockStatus_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_Device_GetClockStatus_Params, clockStatus)
+
+    NVPA_Status NVPW_Device_GetClockStatus(NVPW_Device_GetClockStatus_Params* pParams);
+
+    typedef enum NVPW_Device_ClockSetting
+    {
+        /// invalid op, specify valid clocks operation during profiling
+        NVPW_DEVICE_CLOCK_SETTING_INVALID,
+        /// default to driver/application config (normally unlocked and not boosted, but could be unlocked boosted, or
+        /// locked to rated TDP)
+        NVPW_DEVICE_CLOCK_SETTING_DEFAULT,
+        /// lock clocks at rated tdp base values
+        NVPW_DEVICE_CLOCK_SETTING_LOCK_TO_RATED_TDP,
+        NVPW_DEVICE_CLOCK_SETTING__COUNT
+    } NVPW_Device_ClockSetting;
+
+    typedef struct NVPW_Device_SetClockSetting_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        size_t deviceIndex;
+        /// [in]
+        NVPW_Device_ClockSetting clockSetting;
+    } NVPW_Device_SetClockSetting_Params;
+#define NVPW_Device_SetClockSetting_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_Device_SetClockSetting_Params, clockSetting)
+
+    NVPA_Status NVPW_Device_SetClockSetting(NVPW_Device_SetClockSetting_Params* pParams);
+
+    typedef struct NVPW_CounterData_GetRangeDescriptions_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        const uint8_t* pCounterDataImage;
+        size_t rangeIndex;
+        /// [inout] Number of descriptions allocated in ppDescriptions
+        size_t numDescriptions;
+        const char** ppDescriptions;
+    } NVPW_CounterData_GetRangeDescriptions_Params;
+#define NVPW_CounterData_GetRangeDescriptions_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_CounterData_GetRangeDescriptions_Params, ppDescriptions)
+
+    NVPA_Status NVPW_CounterData_GetRangeDescriptions(NVPW_CounterData_GetRangeDescriptions_Params* pParams);
+
+    typedef struct NVPW_Profiler_CounterData_GetRangeDescriptions_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        const uint8_t* pCounterDataImage;
+        size_t rangeIndex;
+        /// [inout] Number of descriptions allocated in ppDescriptions
+        size_t numDescriptions;
+        const char** ppDescriptions;
+    } NVPW_Profiler_CounterData_GetRangeDescriptions_Params;
+#define NVPW_Profiler_CounterData_GetRangeDescriptions_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_Profiler_CounterData_GetRangeDescriptions_Params, ppDescriptions)
+
+    NVPA_Status NVPW_Profiler_CounterData_GetRangeDescriptions(NVPW_Profiler_CounterData_GetRangeDescriptions_Params* pParams);
+
+#ifndef NVPW_PERIODIC_SAMPLER_COUNTER_DATA_APPEND_MODE_DEFINED
+#define NVPW_PERIODIC_SAMPLER_COUNTER_DATA_APPEND_MODE_DEFINED
+    typedef enum NVPW_PeriodicSampler_CounterData_AppendMode
+    {
+        NVPW_PERIODIC_SAMPLER_COUNTER_DATA_APPEND_MODE_LINEAR = 0,
+        NVPW_PERIODIC_SAMPLER_COUNTER_DATA_APPEND_MODE_CIRCULAR = 1,
+        NVPW_PERIODIC_SAMPLER_COUNTER_DATA_APPEND_MODE__COUNT
+    } NVPW_PeriodicSampler_CounterData_AppendMode;
+#endif //NVPW_PERIODIC_SAMPLER_COUNTER_DATA_APPEND_MODE_DEFINED
+
+    typedef struct NVPW_PeriodicSampler_CounterData_GetSampleTime_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        /// [in]
+        const uint8_t* pCounterDataImage;
+        /// [in]
+        size_t rangeIndex;
+        /// [out]
+        uint64_t timestampStart;
+        /// [out]
+        uint64_t timestampEnd;
+    } NVPW_PeriodicSampler_CounterData_GetSampleTime_Params;
+#define NVPW_PeriodicSampler_CounterData_GetSampleTime_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_PeriodicSampler_CounterData_GetSampleTime_Params, timestampEnd)
+
+    NVPA_Status NVPW_PeriodicSampler_CounterData_GetSampleTime(NVPW_PeriodicSampler_CounterData_GetSampleTime_Params* pParams);
+
+    typedef struct NVPW_PeriodicSampler_CounterData_TrimInPlace_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        /// [in]
+        uint8_t* pCounterDataImage;
+        /// [in]
+        size_t counterDataImageSize;
+        /// [out]
+        size_t counterDataImageTrimmedSize;
+    } NVPW_PeriodicSampler_CounterData_TrimInPlace_Params;
+#define NVPW_PeriodicSampler_CounterData_TrimInPlace_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_PeriodicSampler_CounterData_TrimInPlace_Params, counterDataImageTrimmedSize)
+
+    NVPA_Status NVPW_PeriodicSampler_CounterData_TrimInPlace(NVPW_PeriodicSampler_CounterData_TrimInPlace_Params* pParams);
+
+    typedef struct NVPW_PeriodicSampler_CounterData_GetInfo_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        /// [in]
+        const uint8_t* pCounterDataImage;
+        /// [in]
+        size_t counterDataImageSize;
+        /// [out] total number of ranges in the counter data
+        size_t numTotalRanges;
+        /// [out] if in "linear" mode, this API returns the number of "populated" ranges; if it's in "circular" mode,
+        /// then it returns the last "populated" range index + 1, when there is no such range, it returns 0.
+        size_t numPopulatedRanges;
+        /// [out] if in "linear" mode, this API returns the number of "completed" ranges; if it's in "circular" mode,
+        /// then it returns the last "completed" range index + 1, when there is no such range, it returns 0.
+        size_t numCompletedRanges;
+    } NVPW_PeriodicSampler_CounterData_GetInfo_Params;
+#define NVPW_PeriodicSampler_CounterData_GetInfo_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_PeriodicSampler_CounterData_GetInfo_Params, numCompletedRanges)
+
+    /// In periodic sampler, a range in counter data stores exactly one sample's data. For better performance, periodic
+    /// sampler may operate in an out-of-order fashion when populating sample data, i.e. it may not fully populate all
+    /// counters of a sample/range before starting to populate the next sample/range. As a result, we have two concepts
+    /// here, "populated" & "completed": a range is considered "populated" even if only partial counters have been
+    /// written; on the other hand, a range is only considered "completed" if all the collecting counters have been
+    /// written.
+    NVPA_Status NVPW_PeriodicSampler_CounterData_GetInfo(NVPW_PeriodicSampler_CounterData_GetInfo_Params* pParams);
+
+    typedef struct NVPW_PeriodicSampler_CounterData_GetTriggerCount_Params
+    {
+        /// [in]
+        size_t structSize;
+        /// [in] assign to NULL
+        void* pPriv;
+        /// [in]
+        const uint8_t* pCounterDataImage;
+        /// [in]
+        size_t counterDataImageSize;
+        /// [in]
+        size_t rangeIndex;
+        /// [out]
+        uint32_t triggerCount;
+    } NVPW_PeriodicSampler_CounterData_GetTriggerCount_Params;
+#define NVPW_PeriodicSampler_CounterData_GetTriggerCount_Params_STRUCT_SIZE NVPA_STRUCT_SIZE(NVPW_PeriodicSampler_CounterData_GetTriggerCount_Params, triggerCount)
+
+    NVPA_Status NVPW_PeriodicSampler_CounterData_GetTriggerCount(NVPW_PeriodicSampler_CounterData_GetTriggerCount_Params* pParams);
+
+
+    typedef struct NVPW_TimestampReport
+    {
+        uint32_t payload;
+        uint8_t reserved0004[4];
+        uint64_t timestamp;
+    } NVPW_TimestampReport;
+
+
+
+
+#ifdef __cplusplus
+} // extern "C"
+#endif
+
+#if defined(__GNUC__) && defined(NVPA_SHARED_LIB)
+    #pragma GCC visibility pop
+#endif
+
+#endif // NVPERF_TARGET_H

pllava/lib/python3.10/site-packages/nvidia/cudnn/include/cudnn_adv.h

@@ -0,0 +1,671 @@
+/*
+ * Copyright 2014-2023 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+/*   cudnn_adv : cuDNN's advanced and experimental features.
+
+*/
+
+#if !defined(CUDNN_ADV_H_)
+#define CUDNN_ADV_H_
+
+#include <stdint.h>
+
+#include "cudnn_version.h"
+#include "cudnn_ops.h"
+
+/* These version numbers are autogenerated, do not edit manually. */
+#define CUDNN_ADV_MAJOR 9
+#define CUDNN_ADV_MINOR 1
+#define CUDNN_ADV_PATCH 0
+
+#if (CUDNN_ADV_MAJOR != CUDNN_MAJOR) || (CUDNN_ADV_MINOR != CUDNN_MINOR) || (CUDNN_ADV_PATCH != CUDNN_PATCHLEVEL)
+#error Version mismatch in cuDNN ADV INFER!!!
+#endif
+
+#if defined(__cplusplus)
+extern "C" {
+#endif
+
+/* BASIC RNN API */
+
+typedef enum {
+    CUDNN_RNN_ALGO_STANDARD               = 0,
+    CUDNN_RNN_ALGO_PERSIST_STATIC         = 1,
+    CUDNN_RNN_ALGO_PERSIST_DYNAMIC        = 2,
+    CUDNN_RNN_ALGO_PERSIST_STATIC_SMALL_H = 3,
+    CUDNN_RNN_ALGO_COUNT                  = 4,
+} cudnnRNNAlgo_t;
+
+typedef enum {
+    CUDNN_FWD_MODE_INFERENCE = 0,
+    CUDNN_FWD_MODE_TRAINING  = 1,
+} cudnnForwardMode_t;
+
+typedef enum {
+    CUDNN_RNN_RELU = 0, /* basic RNN cell type with ReLu activation */
+    CUDNN_RNN_TANH = 1, /* basic RNN cell type with tanh activation */
+    CUDNN_LSTM     = 2, /* LSTM with optional recurrent projection and clipping */
+    CUDNN_GRU      = 3, /* Using h' = tanh(r * Uh(t-1) + Wx) and h = (1 - z) * h' + z * h(t-1); */
+} cudnnRNNMode_t;
+
+typedef enum {
+    CUDNN_RNN_NO_BIAS         = 0, /* rnn cell formulas do not use biases */
+    CUDNN_RNN_SINGLE_INP_BIAS = 1, /* rnn cell formulas use one input bias in input GEMM */
+    CUDNN_RNN_DOUBLE_BIAS     = 2, /* default, rnn cell formulas use two bias vectors */
+    CUDNN_RNN_SINGLE_REC_BIAS = 3  /* rnn cell formulas use one recurrent bias in recurrent GEMM */
+} cudnnRNNBiasMode_t;
+
+typedef enum {
+    CUDNN_UNIDIRECTIONAL = 0, /* single direction network */
+    CUDNN_BIDIRECTIONAL  = 1, /* output concatination at each layer */
+} cudnnDirectionMode_t;
+
+typedef enum {
+    CUDNN_LINEAR_INPUT = 0, /* adjustable weight matrix in first layer input GEMM */
+    CUDNN_SKIP_INPUT   = 1, /* fixed identity matrix in the first layer input GEMM */
+} cudnnRNNInputMode_t;
+
+typedef enum {
+    CUDNN_RNN_CLIP_NONE   = 0, /* disables LSTM cell clipping */
+    CUDNN_RNN_CLIP_MINMAX = 1, /* enables LSTM cell clipping */
+} cudnnRNNClipMode_t;
+
+typedef enum {
+    CUDNN_RNN_DATA_LAYOUT_SEQ_MAJOR_UNPACKED   = 0, /* padded, outer stride from one time-step to the next */
+    CUDNN_RNN_DATA_LAYOUT_SEQ_MAJOR_PACKED     = 1, /* sequence length sorted and packed as in basic RNN api */
+    CUDNN_RNN_DATA_LAYOUT_BATCH_MAJOR_UNPACKED = 2, /* padded, outer stride from one batch to the next */
+} cudnnRNNDataLayout_t;
+
+/* For auxFlags in cudnnSetRNNDescriptor_v8() */
+#define CUDNN_RNN_PADDED_IO_DISABLED 0
+#define CUDNN_RNN_PADDED_IO_ENABLED (1U << 0)
+
+struct cudnnRNNStruct;
+typedef struct cudnnRNNStruct *cudnnRNNDescriptor_t;
+
+struct cudnnRNNDataStruct;
+typedef struct cudnnRNNDataStruct *cudnnRNNDataDescriptor_t;
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateRNNDescriptor(cudnnRNNDescriptor_t *rnnDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyRNNDescriptor(cudnnRNNDescriptor_t rnnDesc);
+
+/*
+ * mathPrec in cudnnSetRNNDescriptor_v8() specifies compute precision.
+ * Compute precision is further modified by mathType that sets the
+ * preferred option for using NVIDIA Tensor Cores.  dataType specify
+ * input/output data type and weight/bias type.
+ */
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNDescriptor_v8(cudnnRNNDescriptor_t rnnDesc,
+                         cudnnRNNAlgo_t algo,
+                         cudnnRNNMode_t cellMode,
+                         cudnnRNNBiasMode_t biasMode,
+                         cudnnDirectionMode_t dirMode,
+                         cudnnRNNInputMode_t inputMode,
+                         cudnnDataType_t dataType,
+                         cudnnDataType_t mathPrec,
+                         cudnnMathType_t mathType,
+                         int32_t inputSize,
+                         int32_t hiddenSize,
+                         int32_t projSize,
+                         int32_t numLayers,
+                         cudnnDropoutDescriptor_t dropoutDesc,
+                         uint32_t auxFlags);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNDescriptor_v8(cudnnRNNDescriptor_t rnnDesc,
+                         cudnnRNNAlgo_t *algo,
+                         cudnnRNNMode_t *cellMode,
+                         cudnnRNNBiasMode_t *biasMode,
+                         cudnnDirectionMode_t *dirMode,
+                         cudnnRNNInputMode_t *inputMode,
+                         cudnnDataType_t *dataType,
+                         cudnnDataType_t *mathPrec,
+                         cudnnMathType_t *mathType,
+                         int32_t *inputSize,
+                         int32_t *hiddenSize,
+                         int32_t *projSize,
+                         int32_t *numLayers,
+                         cudnnDropoutDescriptor_t *dropoutDesc,
+                         uint32_t *auxFlags);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNSetClip_v8(cudnnRNNDescriptor_t rnnDesc,
+                   cudnnRNNClipMode_t clipMode,
+                   cudnnNanPropagation_t clipNanOpt,
+                   double lclip,
+                   double rclip);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNSetClip_v9(cudnnRNNDescriptor_t rnnDesc, cudnnRNNClipMode_t clipMode, double lclip, double rclip);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNGetClip_v8(cudnnRNNDescriptor_t rnnDesc,
+                   cudnnRNNClipMode_t *clipMode,
+                   cudnnNanPropagation_t *clipNanOpt,
+                   double *lclip,
+                   double *rclip);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNGetClip_v9(cudnnRNNDescriptor_t rnnDesc, cudnnRNNClipMode_t *clipMode, double *lclip, double *rclip);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBuildRNNDynamic(cudnnHandle_t handle, cudnnRNNDescriptor_t rnnDesc, int miniBatch);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNTempSpaceSizes(cudnnHandle_t handle,
+                          cudnnRNNDescriptor_t rnnDesc,
+                          cudnnForwardMode_t fwdMode,
+                          cudnnRNNDataDescriptor_t xDesc,
+                          size_t *workSpaceSize,
+                          size_t *reserveSpaceSize);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNWeightSpaceSize(cudnnHandle_t handle, cudnnRNNDescriptor_t rnnDesc, size_t *weightSpaceSize);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNWeightParams(cudnnHandle_t handle,
+                        cudnnRNNDescriptor_t rnnDesc,
+                        int32_t pseudoLayer,
+                        size_t weightSpaceSize,
+                        const void *weightSpace,
+                        int32_t linLayerID,
+                        cudnnTensorDescriptor_t mDesc,
+                        void **mAddr,
+                        cudnnTensorDescriptor_t bDesc,
+                        void **bAddr);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateRNNDataDescriptor(cudnnRNNDataDescriptor_t *rnnDataDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyRNNDataDescriptor(cudnnRNNDataDescriptor_t rnnDataDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNDataDescriptor(cudnnRNNDataDescriptor_t rnnDataDesc,
+                          cudnnDataType_t dataType,
+                          cudnnRNNDataLayout_t layout,
+                          int maxSeqLength,
+                          int batchSize,
+                          int vectorSize,
+                          const int seqLengthArray[], /* length of each sequence in the batch */
+                          void *paddingFill);         /* symbol for filling padding position in output */
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNDataDescriptor(cudnnRNNDataDescriptor_t rnnDataDesc,
+                          cudnnDataType_t *dataType,
+                          cudnnRNNDataLayout_t *layout,
+                          int *maxSeqLength,
+                          int *batchSize,
+                          int *vectorSize,
+                          int arrayLengthRequested,
+                          int seqLengthArray[],
+                          void *paddingFill);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNForward(cudnnHandle_t handle,
+                cudnnRNNDescriptor_t rnnDesc,
+                cudnnForwardMode_t fwdMode,
+                const int32_t devSeqLengths[],
+                cudnnRNNDataDescriptor_t xDesc,
+                const void *x,
+                cudnnRNNDataDescriptor_t yDesc,
+                void *y,
+                cudnnTensorDescriptor_t hDesc,
+                const void *hx,
+                void *hy,
+                cudnnTensorDescriptor_t cDesc,
+                const void *cx,
+                void *cy,
+                size_t weightSpaceSize,
+                const void *weightSpace,
+                size_t workSpaceSize,
+                void *workSpace,
+                size_t reserveSpaceSize,
+                void *reserveSpace);
+
+/* Sequence data descriptor */
+
+typedef enum {
+    CUDNN_SEQDATA_TIME_DIM  = 0, /* index in time */
+    CUDNN_SEQDATA_BATCH_DIM = 1, /* index in batch */
+    CUDNN_SEQDATA_BEAM_DIM  = 2, /* index in beam */
+    CUDNN_SEQDATA_VECT_DIM  = 3  /* index in vector */
+} cudnnSeqDataAxis_t;
+
+struct cudnnSeqDataStruct;
+typedef struct cudnnSeqDataStruct *cudnnSeqDataDescriptor_t CUDNN_DEPRECATED;
+
+#define CUDNN_SEQDATA_DIM_COUNT 4 /* dimension count */
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnCreateSeqDataDescriptor(cudnnSeqDataDescriptor_t *seqDataDesc);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnDestroySeqDataDescriptor(cudnnSeqDataDescriptor_t seqDataDesc);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetSeqDataDescriptor(cudnnSeqDataDescriptor_t seqDataDesc,
+                          cudnnDataType_t dataType,
+                          int nbDims,
+                          const int dimA[],
+                          const cudnnSeqDataAxis_t axes[],
+                          size_t seqLengthArraySize,
+                          const int seqLengthArray[],
+                          void *paddingFill);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetSeqDataDescriptor(const cudnnSeqDataDescriptor_t seqDataDesc,
+                          cudnnDataType_t *dataType,
+                          int *nbDims,
+                          int nbDimsRequested,
+                          int dimA[],
+                          cudnnSeqDataAxis_t axes[],
+                          size_t *seqLengthArraySize,
+                          size_t seqLengthSizeRequested,
+                          int seqLengthArray[],
+                          void *paddingFill);
+
+/* Multihead Attention */
+
+/*
+ * Multi-head attention options passed via 'attnMode' in cudnnSetAttnDescriptor().
+ * Use the bitwise OR operator to combine several settings listed below.  Additional
+ * minor options can be added here w/o changing or introducing new API functions.
+ */
+#define CUDNN_ATTN_QUERYMAP_ALL_TO_ONE 0         /* multiple Q-s map to a single (K,V) set when beam size > 1 */
+#define CUDNN_ATTN_QUERYMAP_ONE_TO_ONE (1U << 0) /* multiple Q-s map to multiple (K,V) sets when beam size > 1 */
+#define CUDNN_ATTN_DISABLE_PROJ_BIASES 0         /* no biases in attention input and output projections */
+#define CUDNN_ATTN_ENABLE_PROJ_BIASES (1U << 1)  /* use biases in attention input and output projections */
+
+struct cudnnAttnStruct;
+typedef struct cudnnAttnStruct *cudnnAttnDescriptor_t CUDNN_DEPRECATED;
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnCreateAttnDescriptor(cudnnAttnDescriptor_t *attnDesc);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnDestroyAttnDescriptor(cudnnAttnDescriptor_t attnDesc);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetAttnDescriptor(cudnnAttnDescriptor_t attnDesc,
+                       unsigned attnMode,
+                       int nHeads,
+                       double smScaler,
+                       cudnnDataType_t dataType,
+                       cudnnDataType_t computePrec,
+                       cudnnMathType_t mathType,
+                       cudnnDropoutDescriptor_t attnDropoutDesc,
+                       cudnnDropoutDescriptor_t postDropoutDesc,
+                       int qSize,
+                       int kSize,
+                       int vSize,
+                       int qProjSize,
+                       int kProjSize,
+                       int vProjSize,
+                       int oProjSize,
+                       int qoMaxSeqLength,
+                       int kvMaxSeqLength,
+                       int maxBatchSize,
+                       int maxBeamSize);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetAttnDescriptor(cudnnAttnDescriptor_t attnDesc,
+                       unsigned *attnMode,
+                       int *nHeads,
+                       double *smScaler,
+                       cudnnDataType_t *dataType,
+                       cudnnDataType_t *computePrec,
+                       cudnnMathType_t *mathType,
+                       cudnnDropoutDescriptor_t *attnDropoutDesc,
+                       cudnnDropoutDescriptor_t *postDropoutDesc,
+                       int *qSize,
+                       int *kSize,
+                       int *vSize,
+                       int *qProjSize,
+                       int *kProjSize,
+                       int *vProjSize,
+                       int *oProjSize,
+                       int *qoMaxSeqLength,
+                       int *kvMaxSeqLength,
+                       int *maxBatchSize,
+                       int *maxBeamSize);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetMultiHeadAttnBuffers(cudnnHandle_t handle,
+                             const cudnnAttnDescriptor_t attnDesc,
+                             size_t *weightSizeInBytes,
+                             size_t *workSpaceSizeInBytes,
+                             size_t *reserveSpaceSizeInBytes);
+
+typedef enum {
+    CUDNN_MH_ATTN_Q_WEIGHTS = 0, /* input projection weights for 'queries' */
+    CUDNN_MH_ATTN_K_WEIGHTS = 1, /* input projection weights for 'keys' */
+    CUDNN_MH_ATTN_V_WEIGHTS = 2, /* input projection weights for 'values' */
+    CUDNN_MH_ATTN_O_WEIGHTS = 3, /* output projection weights */
+    CUDNN_MH_ATTN_Q_BIASES  = 4, /* input projection bias tensor for 'queries' */
+    CUDNN_MH_ATTN_K_BIASES  = 5, /* input projection bias for 'keys' */
+    CUDNN_MH_ATTN_V_BIASES  = 6, /* input projection bias for 'values' */
+    CUDNN_MH_ATTN_O_BIASES  = 7, /* output projection biases */
+} cudnnMultiHeadAttnWeightKind_t;
+
+#define CUDNN_ATTN_WKIND_COUNT 8 /* Number of attention weight/bias tensors */
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetMultiHeadAttnWeights(cudnnHandle_t handle,
+                             const cudnnAttnDescriptor_t attnDesc,
+                             cudnnMultiHeadAttnWeightKind_t wKind,
+                             size_t weightSizeInBytes,
+                             const void *weights,
+                             cudnnTensorDescriptor_t wDesc,
+                             void **wAddr);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnMultiHeadAttnForward(cudnnHandle_t handle,
+                          const cudnnAttnDescriptor_t attnDesc,
+                          int currIdx,
+                          const int loWinIdx[],
+                          const int hiWinIdx[],
+                          const int devSeqLengthsQO[],
+                          const int devSeqLengthsKV[],
+                          const cudnnSeqDataDescriptor_t qDesc,
+                          const void *queries,
+                          const void *residuals,
+                          const cudnnSeqDataDescriptor_t kDesc,
+                          const void *keys,
+                          const cudnnSeqDataDescriptor_t vDesc,
+                          const void *values,
+                          const cudnnSeqDataDescriptor_t oDesc,
+                          void *out,
+                          size_t weightSizeInBytes,
+                          const void *weights,
+                          size_t workSpaceSizeInBytes,
+                          void *workSpace,
+                          size_t reserveSpaceSizeInBytes,
+                          void *reserveSpace);
+
+/*
+ * \brief Cross-library version checker.
+ * This function is implemented differently in each sub-library. Each sublib
+ * checks whether its own version matches that of its dependencies.
+ * \returns CUDNN_STATUS_SUCCESS if the version check passes,
+ *          CUDNN_STATUS_SUBLIBRARY_VERSION_MISMATCH if the versions are inconsistent.
+ */
+cudnnStatus_t CUDNNWINAPI
+cudnnAdvVersionCheck(void);
+
+typedef enum {
+    CUDNN_WGRAD_MODE_ADD = 0, /* add partial gradients to wgrad output buffers */
+    CUDNN_WGRAD_MODE_SET = 1, /* write partial gradients to wgrad output buffers */
+} cudnnWgradMode_t;
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNBackwardData_v8(cudnnHandle_t handle,
+                        cudnnRNNDescriptor_t rnnDesc,
+                        const int32_t devSeqLengths[],
+                        cudnnRNNDataDescriptor_t yDesc,
+                        const void *y,
+                        const void *dy,
+                        cudnnRNNDataDescriptor_t xDesc,
+                        void *dx,
+                        cudnnTensorDescriptor_t hDesc,
+                        const void *hx,
+                        const void *dhy,
+                        void *dhx,
+                        cudnnTensorDescriptor_t cDesc,
+                        const void *cx,
+                        const void *dcy,
+                        void *dcx,
+                        size_t weightSpaceSize,
+                        const void *weightSpace,
+                        size_t workSpaceSize,
+                        void *workSpace,
+                        size_t reserveSpaceSize,
+                        void *reserveSpace);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNBackwardWeights_v8(cudnnHandle_t handle,
+                           cudnnRNNDescriptor_t rnnDesc,
+                           cudnnWgradMode_t addGrad,
+                           const int32_t devSeqLengths[],
+                           cudnnRNNDataDescriptor_t xDesc,
+                           const void *x,
+                           cudnnTensorDescriptor_t hDesc,
+                           const void *hx,
+                           cudnnRNNDataDescriptor_t yDesc,
+                           const void *y,
+                           size_t weightSpaceSize,
+                           void *dweightSpace,
+                           size_t workSpaceSize,
+                           void *workSpace,
+                           size_t reserveSpaceSize,
+                           void *reserveSpace);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnMultiHeadAttnBackwardData(cudnnHandle_t handle,
+                               const cudnnAttnDescriptor_t attnDesc,
+                               const int loWinIdx[],
+                               const int hiWinIdx[],
+                               const int devSeqLengthsDQDO[],
+                               const int devSeqLengthsDKDV[],
+                               const cudnnSeqDataDescriptor_t doDesc,
+                               const void *dout,
+                               const cudnnSeqDataDescriptor_t dqDesc,
+                               void *dqueries,
+                               const void *queries,
+                               const cudnnSeqDataDescriptor_t dkDesc,
+                               void *dkeys,
+                               const void *keys,
+                               const cudnnSeqDataDescriptor_t dvDesc,
+                               void *dvalues,
+                               const void *values,
+                               size_t weightSizeInBytes,
+                               const void *weights,
+                               size_t workSpaceSizeInBytes,
+                               void *workSpace,
+                               size_t reserveSpaceSizeInBytes,
+                               void *reserveSpace);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnMultiHeadAttnBackwardWeights(cudnnHandle_t handle,
+                                  const cudnnAttnDescriptor_t attnDesc,
+                                  cudnnWgradMode_t addGrad,
+                                  const cudnnSeqDataDescriptor_t qDesc,
+                                  const void *queries,
+                                  const cudnnSeqDataDescriptor_t kDesc,
+                                  const void *keys,
+                                  const cudnnSeqDataDescriptor_t vDesc,
+                                  const void *values,
+                                  const cudnnSeqDataDescriptor_t doDesc,
+                                  const void *dout,
+                                  size_t weightSizeInBytes,
+                                  const void *weights,
+                                  void *dweights,
+                                  size_t workSpaceSizeInBytes,
+                                  void *workSpace,
+                                  size_t reserveSpaceSizeInBytes,
+                                  void *reserveSpace);
+
+/*
+* CTC (Connectionist Temporal Classification) loss descriptor create/destory/set/get functions
+*/
+/* Input normalization mode for loss function */
+typedef enum {
+    CUDNN_LOSS_NORMALIZATION_NONE    = 0,
+    CUDNN_LOSS_NORMALIZATION_SOFTMAX = 1,
+} cudnnLossNormalizationMode_t;
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateCTCLossDescriptor(cudnnCTCLossDescriptor_t *ctcLossDesc);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetCTCLossDescriptor(cudnnCTCLossDescriptor_t ctcLossDesc, cudnnDataType_t compType);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetCTCLossDescriptorEx(cudnnCTCLossDescriptor_t ctcLossDesc,
+                            cudnnDataType_t compType,
+                            cudnnLossNormalizationMode_t normMode,
+                            cudnnNanPropagation_t gradMode);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetCTCLossDescriptor_v8(cudnnCTCLossDescriptor_t ctcLossDesc,
+                             cudnnDataType_t compType,
+                             cudnnLossNormalizationMode_t normMode,
+                             cudnnNanPropagation_t gradMode,
+                             int maxLabelLength);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetCTCLossDescriptor_v9(cudnnCTCLossDescriptor_t ctcLossDesc,
+                             cudnnDataType_t compType,
+                             cudnnLossNormalizationMode_t normMode,
+                             cudnnCTCGradMode_t ctcGradMode,
+                             int maxLabelLength);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetCTCLossDescriptor(cudnnCTCLossDescriptor_t ctcLossDesc, cudnnDataType_t *compType);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetCTCLossDescriptorEx(cudnnCTCLossDescriptor_t ctcLossDesc,
+                            cudnnDataType_t *compType,
+                            cudnnLossNormalizationMode_t *normMode,
+                            cudnnNanPropagation_t *gradMode);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetCTCLossDescriptor_v8(cudnnCTCLossDescriptor_t ctcLossDesc,
+                             cudnnDataType_t *compType,
+                             cudnnLossNormalizationMode_t *normMode,
+                             cudnnNanPropagation_t *gradMode,
+                             int *maxLabelLength);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetCTCLossDescriptor_v9(cudnnCTCLossDescriptor_t ctcLossDesc,
+                             cudnnDataType_t *compType,
+                             cudnnLossNormalizationMode_t *normMode,
+                             cudnnCTCGradMode_t *ctcGradMode,
+                             int *maxLabelLength);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyCTCLossDescriptor(cudnnCTCLossDescriptor_t ctcLossDesc);
+
+/* return the ctc costs and gradients, given the probabilities and labels */
+cudnnStatus_t CUDNNWINAPI
+cudnnCTCLoss(
+    cudnnHandle_t handle,
+    const cudnnTensorDescriptor_t
+        probsDesc,     /* Tensor descriptor for probabilities, the dimensions are T,N,A (T is the timing steps, N is the
+                          mini batch size, A is the alphabet size)  */
+    const void *probs, /* probabilities after softmax, in GPU memory */
+    const int hostLabels[],                      /* labels, in CPU memory */
+    const int hostLabelLengths[],                /* the length of each label, in CPU memory */
+    const int hostInputLengths[],                /* the lengths of timing steps in each batch, in CPU memory */
+    void *costs,                                 /* the returned costs of CTC, in GPU memory */
+    const cudnnTensorDescriptor_t gradientsDesc, /* Tensor descriptor for gradients, the dimensions are T,N,A */
+    void *gradients,         /* the returned CTC gradients, in GPU memory, to compute costs only, set it to NULL */
+    cudnnCTCLossAlgo_t algo, /* algorithm selected, supported now 0 and 1 */
+    cudnnCTCLossDescriptor_t ctcLossDesc,
+    void *workspace,              /* pointer to the workspace, in GPU memory */
+    size_t workSpaceSizeInBytes); /* size of the workspace */
+
+/* return the ctc costs and gradients, given the probabilities and labels */
+cudnnStatus_t CUDNNWINAPI
+cudnnCTCLoss_v8(
+    cudnnHandle_t handle,
+    cudnnCTCLossAlgo_t algo, /* algorithm selected, supported now 0 and 1 */
+    cudnnCTCLossDescriptor_t ctcLossDesc,
+    const cudnnTensorDescriptor_t
+        probsDesc,     /* Tensor descriptor for probabilities, the dimensions are T,N,A (T is the timing steps, N is the
+                          mini batch size, A is the alphabet size)  */
+    const void *probs, /* probabilities after softmax, in GPU memory */
+    const int labels[],                          /* labels, in GPU memory */
+    const int labelLengths[],                    /* the length of each label, in GPU memory */
+    const int inputLengths[],                    /* the lengths of timing steps in each batch, in GPU memory */
+    void *costs,                                 /* the returned costs of CTC, in GPU memory */
+    const cudnnTensorDescriptor_t gradientsDesc, /* Tensor descriptor for gradients, the dimensions are T,N,A */
+    void *gradients,             /* the returned CTC gradients, in GPU memory, to compute costs only, set it to NULL */
+    size_t workSpaceSizeInBytes, /* size of the workspace */
+    void *workspace);            /* pointer to the workspace, in GPU memory */
+
+/* return the workspace size needed for ctc */
+cudnnStatus_t CUDNNWINAPI
+cudnnGetCTCLossWorkspaceSize(
+    cudnnHandle_t handle,
+    const cudnnTensorDescriptor_t probsDesc, /* Tensor descriptor for probabilities, the dimensions are T,N,A (T is the
+                                                timing steps, N is the mini batch size, A is the alphabet size) */
+    const cudnnTensorDescriptor_t gradientsDesc, /* Tensor descriptor for gradients, the
+                                                    dimensions are T,N,A. To compute costs
+                                                    only, set it to NULL */
+    const int *labels,                           /* labels, in CPU memory */
+    const int *labelLengths,                     /* the length of each label, in CPU memory */
+    const int *inputLengths,                     /* the lengths of timing steps in each batch, in CPU memory */
+    cudnnCTCLossAlgo_t algo,                     /* algorithm selected, supported now 0 and 1 */
+    cudnnCTCLossDescriptor_t ctcLossDesc,
+    size_t *sizeInBytes); /* pointer to the returned workspace size */
+
+/* return the workspace size needed for ctc */
+cudnnStatus_t CUDNNWINAPI
+cudnnGetCTCLossWorkspaceSize_v8(
+    cudnnHandle_t handle,
+    cudnnCTCLossAlgo_t algo, /* algorithm selected, supported now 0 and 1 */
+    cudnnCTCLossDescriptor_t ctcLossDesc,
+    const cudnnTensorDescriptor_t probsDesc, /* Tensor descriptor for probabilities, the dimensions are T,N,A (T is the
+                                                timing steps, N is the mini batch size, A is the alphabet size) */
+    const cudnnTensorDescriptor_t gradientsDesc, /* Tensor descriptor for gradients, the
+                                                    dimensions are T,N,A. To compute costs
+                                                    only, set it to NULL */
+    size_t *sizeInBytes);                        /* pointer to the returned workspace size */
+
+#if defined(__cplusplus)
+}
+#endif
+
+#endif /* CUDNN_ADV_H_ */

pllava/lib/python3.10/site-packages/nvidia/cudnn/include/cudnn_adv_infer.h

@@ -0,0 +1,658 @@
+/*
+ * Copyright 2017-2022 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+/*   cudnn_adv_infer : cuDNN's advanced and experimental features.
+
+*/
+
+#if !defined(CUDNN_ADV_INFER_H_)
+#define CUDNN_ADV_INFER_H_
+
+#include <cuda_runtime.h>
+#include <stdint.h>
+
+#include "cudnn_version.h"
+#include "cudnn_ops_infer.h"
+
+/* These version numbers are autogenerated, do not edit manually. */
+#define CUDNN_ADV_INFER_MAJOR 8
+#define CUDNN_ADV_INFER_MINOR 7
+#define CUDNN_ADV_INFER_PATCH 0
+
+#if (CUDNN_ADV_INFER_MAJOR != CUDNN_MAJOR) || (CUDNN_ADV_INFER_MINOR != CUDNN_MINOR) || \
+    (CUDNN_ADV_INFER_PATCH != CUDNN_PATCHLEVEL)
+#error Version mismatch in cuDNN ADV INFER!!!
+#endif
+
+#if defined(__cplusplus)
+extern "C" {
+#endif
+
+/* BASIC RNN API */
+
+typedef enum {
+    CUDNN_FWD_MODE_INFERENCE = 0,
+    CUDNN_FWD_MODE_TRAINING  = 1,
+} cudnnForwardMode_t;
+
+typedef enum {
+    CUDNN_RNN_RELU = 0, /* basic RNN cell type with ReLu activation */
+    CUDNN_RNN_TANH = 1, /* basic RNN cell type with tanh activation */
+    CUDNN_LSTM     = 2, /* LSTM with optional recurrent projection and clipping */
+    CUDNN_GRU      = 3, /* Using h' = tanh(r * Uh(t-1) + Wx) and h = (1 - z) * h' + z * h(t-1); */
+} cudnnRNNMode_t;
+
+typedef enum {
+    CUDNN_RNN_NO_BIAS         = 0, /* rnn cell formulas do not use biases */
+    CUDNN_RNN_SINGLE_INP_BIAS = 1, /* rnn cell formulas use one input bias in input GEMM */
+    CUDNN_RNN_DOUBLE_BIAS     = 2, /* default, rnn cell formulas use two bias vectors */
+    CUDNN_RNN_SINGLE_REC_BIAS = 3  /* rnn cell formulas use one recurrent bias in recurrent GEMM */
+} cudnnRNNBiasMode_t;
+
+typedef enum {
+    CUDNN_UNIDIRECTIONAL = 0, /* single direction network */
+    CUDNN_BIDIRECTIONAL  = 1, /* output concatination at each layer */
+} cudnnDirectionMode_t;
+
+typedef enum {
+    CUDNN_LINEAR_INPUT = 0, /* adjustable weight matrix in first layer input GEMM */
+    CUDNN_SKIP_INPUT   = 1, /* fixed identity matrix in the first layer input GEMM */
+} cudnnRNNInputMode_t;
+
+typedef enum {
+    CUDNN_RNN_CLIP_NONE   = 0, /* disables LSTM cell clipping */
+    CUDNN_RNN_CLIP_MINMAX = 1, /* enables LSTM cell clipping */
+} cudnnRNNClipMode_t;
+
+typedef enum {
+    CUDNN_RNN_DATA_LAYOUT_SEQ_MAJOR_UNPACKED   = 0, /* padded, outer stride from one time-step to the next */
+    CUDNN_RNN_DATA_LAYOUT_SEQ_MAJOR_PACKED     = 1, /* sequence length sorted and packed as in basic RNN api */
+    CUDNN_RNN_DATA_LAYOUT_BATCH_MAJOR_UNPACKED = 2, /* padded, outer stride from one batch to the next */
+} cudnnRNNDataLayout_t;
+
+/* Legacy type for backward compatibility */
+typedef unsigned cudnnRNNPaddingMode_t;
+
+/* For auxFlags in cudnnSetRNNDescriptor_v8() and cudnnSetRNNPaddingMode() */
+#define CUDNN_RNN_PADDED_IO_DISABLED 0
+#define CUDNN_RNN_PADDED_IO_ENABLED (1U << 0)
+
+struct cudnnRNNStruct;
+typedef struct cudnnRNNStruct *cudnnRNNDescriptor_t;
+
+struct cudnnPersistentRNNPlan;
+typedef struct cudnnPersistentRNNPlan *cudnnPersistentRNNPlan_t;
+
+struct cudnnRNNDataStruct;
+typedef struct cudnnRNNDataStruct *cudnnRNNDataDescriptor_t;
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateRNNDescriptor(cudnnRNNDescriptor_t *rnnDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyRNNDescriptor(cudnnRNNDescriptor_t rnnDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNDescriptor_v8(cudnnRNNDescriptor_t rnnDesc,
+                         cudnnRNNAlgo_t algo,
+                         cudnnRNNMode_t cellMode,
+                         cudnnRNNBiasMode_t biasMode,
+                         cudnnDirectionMode_t dirMode,
+                         cudnnRNNInputMode_t inputMode,
+                         cudnnDataType_t dataType,
+                         cudnnDataType_t mathPrec,
+                         cudnnMathType_t mathType,
+                         int32_t inputSize,
+                         int32_t hiddenSize,
+                         int32_t projSize,
+                         int32_t numLayers,
+                         cudnnDropoutDescriptor_t dropoutDesc,
+                         uint32_t auxFlags);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNDescriptor_v8(cudnnRNNDescriptor_t rnnDesc,
+                         cudnnRNNAlgo_t *algo,
+                         cudnnRNNMode_t *cellMode,
+                         cudnnRNNBiasMode_t *biasMode,
+                         cudnnDirectionMode_t *dirMode,
+                         cudnnRNNInputMode_t *inputMode,
+                         cudnnDataType_t *dataType,
+                         cudnnDataType_t *mathPrec,
+                         cudnnMathType_t *mathType,
+                         int32_t *inputSize,
+                         int32_t *hiddenSize,
+                         int32_t *projSize,
+                         int32_t *numLayers,
+                         cudnnDropoutDescriptor_t *dropoutDesc,
+                         uint32_t *auxFlags);
+
+/*
+ * mathPrec in cudnnSetRNNDescriptor_v6() specifies compute precision
+ * compute precision is further modified by cudnnSetRNNMatrixMathType()
+ * dataType in cudnnGetRNNParamsSize() and wDesc specify weight storage
+ * dropout is between RNN layers, not between recurrent steps
+ */
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNDescriptor_v6(cudnnHandle_t handle,
+                         cudnnRNNDescriptor_t rnnDesc,
+                         const int hiddenSize,
+                         const int numLayers,
+                         cudnnDropoutDescriptor_t dropoutDesc,
+                         cudnnRNNInputMode_t inputMode,
+                         cudnnDirectionMode_t direction,
+                         cudnnRNNMode_t cellMode,
+                         cudnnRNNAlgo_t algo,
+                         cudnnDataType_t mathPrec);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNDescriptor_v6(cudnnHandle_t handle,
+                         cudnnRNNDescriptor_t rnnDesc,
+                         int *hiddenSize,
+                         int *numLayers,
+                         cudnnDropoutDescriptor_t *dropoutDesc,
+                         cudnnRNNInputMode_t *inputMode,
+                         cudnnDirectionMode_t *direction,
+                         cudnnRNNMode_t *cellMode,
+                         cudnnRNNAlgo_t *algo,
+                         cudnnDataType_t *mathPrec);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNMatrixMathType(cudnnRNNDescriptor_t rnnDesc, cudnnMathType_t mType);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNMatrixMathType(cudnnRNNDescriptor_t rnnDesc, cudnnMathType_t *mType);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNBiasMode(cudnnRNNDescriptor_t rnnDesc, cudnnRNNBiasMode_t biasMode);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNBiasMode(cudnnRNNDescriptor_t rnnDesc, cudnnRNNBiasMode_t *biasMode);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNSetClip_v8(cudnnRNNDescriptor_t rnnDesc,
+                   cudnnRNNClipMode_t clipMode,
+                   cudnnNanPropagation_t clipNanOpt,
+                   double lclip,
+                   double rclip);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNGetClip_v8(cudnnRNNDescriptor_t rnnDesc,
+                   cudnnRNNClipMode_t *clipMode,
+                   cudnnNanPropagation_t *clipNanOpt,
+                   double *lclip,
+                   double *rclip);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNSetClip(cudnnHandle_t handle,
+                cudnnRNNDescriptor_t rnnDesc,
+                cudnnRNNClipMode_t clipMode,
+                cudnnNanPropagation_t clipNanOpt,
+                double lclip,
+                double rclip);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNGetClip(cudnnHandle_t handle,
+                cudnnRNNDescriptor_t rnnDesc,
+                cudnnRNNClipMode_t *clipMode,
+                cudnnNanPropagation_t *clipNanOpt,
+                double *lclip,
+                double *rclip);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNProjectionLayers(cudnnHandle_t handle,
+                            cudnnRNNDescriptor_t rnnDesc,
+                            const int recProjSize,
+                            const int outProjSize);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNProjectionLayers(cudnnHandle_t handle,
+                            const cudnnRNNDescriptor_t rnnDesc,
+                            int *recProjSize,
+                            int *outProjSize);
+
+/* Expensive. Creates the plan for the specific settings. */
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnCreatePersistentRNNPlan(cudnnRNNDescriptor_t rnnDesc,
+                             const int minibatch,
+                             const cudnnDataType_t dataType,
+                             cudnnPersistentRNNPlan_t *plan);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnDestroyPersistentRNNPlan(cudnnPersistentRNNPlan_t plan);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetPersistentRNNPlan(cudnnRNNDescriptor_t rnnDesc, cudnnPersistentRNNPlan_t plan);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBuildRNNDynamic(cudnnHandle_t handle, cudnnRNNDescriptor_t rnnDesc, int miniBatch);
+
+/* dataType in weight descriptors and input descriptors is used to describe storage */
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNWorkspaceSize(cudnnHandle_t handle,
+                         const cudnnRNNDescriptor_t rnnDesc,
+                         const int seqLength,
+                         const cudnnTensorDescriptor_t *xDesc,
+                         size_t *sizeInBytes);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNTrainingReserveSize(cudnnHandle_t handle,
+                               const cudnnRNNDescriptor_t rnnDesc,
+                               const int seqLength,
+                               const cudnnTensorDescriptor_t *xDesc,
+                               size_t *sizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNTempSpaceSizes(cudnnHandle_t handle,
+                          cudnnRNNDescriptor_t rnnDesc,
+                          cudnnForwardMode_t fMode,
+                          cudnnRNNDataDescriptor_t xDesc,
+                          size_t *workSpaceSize,
+                          size_t *reserveSpaceSize);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNParamsSize(cudnnHandle_t handle,
+                      const cudnnRNNDescriptor_t rnnDesc,
+                      const cudnnTensorDescriptor_t xDesc,
+                      size_t *sizeInBytes,
+                      cudnnDataType_t dataType);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNWeightSpaceSize(cudnnHandle_t handle, cudnnRNNDescriptor_t rnnDesc, size_t *weightSpaceSize);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNLinLayerMatrixParams(cudnnHandle_t handle,
+                                const cudnnRNNDescriptor_t rnnDesc,
+                                const int pseudoLayer,
+                                const cudnnTensorDescriptor_t xDesc,
+                                const cudnnFilterDescriptor_t wDesc,
+                                const void *w,
+                                const int linLayerID,
+                                cudnnFilterDescriptor_t linLayerMatDesc,
+                                void **linLayerMat);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNLinLayerBiasParams(cudnnHandle_t handle,
+                              const cudnnRNNDescriptor_t rnnDesc,
+                              const int pseudoLayer,
+                              const cudnnTensorDescriptor_t xDesc,
+                              const cudnnFilterDescriptor_t wDesc,
+                              const void *w,
+                              const int linLayerID,
+                              cudnnFilterDescriptor_t linLayerBiasDesc,
+                              void **linLayerBias);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNWeightParams(cudnnHandle_t handle,
+                        cudnnRNNDescriptor_t rnnDesc,
+                        int32_t pseudoLayer,
+                        size_t weightSpaceSize,
+                        const void *weightSpace,
+                        int32_t linLayerID,
+                        cudnnTensorDescriptor_t mDesc,
+                        void **mAddr,
+                        cudnnTensorDescriptor_t bDesc,
+                        void **bAddr);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNForwardInference(cudnnHandle_t handle,
+                         const cudnnRNNDescriptor_t rnnDesc,
+                         const int seqLength,
+                         const cudnnTensorDescriptor_t *xDesc,
+                         const void *x,
+                         const cudnnTensorDescriptor_t hxDesc,
+                         const void *hx,
+                         const cudnnTensorDescriptor_t cxDesc,
+                         const void *cx,
+                         const cudnnFilterDescriptor_t wDesc,
+                         const void *w,
+                         const cudnnTensorDescriptor_t *yDesc,
+                         void *y,
+                         const cudnnTensorDescriptor_t hyDesc,
+                         void *hy,
+                         const cudnnTensorDescriptor_t cyDesc,
+                         void *cy,
+                         void *workSpace,
+                         size_t workSpaceSizeInBytes);
+
+/* RNN EX API */
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNPaddingMode(cudnnRNNDescriptor_t rnnDesc, unsigned paddingMode);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNPaddingMode(cudnnRNNDescriptor_t rnnDesc, unsigned *paddingMode);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateRNNDataDescriptor(cudnnRNNDataDescriptor_t *rnnDataDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyRNNDataDescriptor(cudnnRNNDataDescriptor_t rnnDataDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNDataDescriptor(cudnnRNNDataDescriptor_t rnnDataDesc,
+                          cudnnDataType_t dataType,
+                          cudnnRNNDataLayout_t layout,
+                          int maxSeqLength,
+                          int batchSize,
+                          int vectorSize,
+                          const int seqLengthArray[], /* length of each sequence in the batch */
+                          void *paddingFill);         /* symbol for filling padding position in output */
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNDataDescriptor(cudnnRNNDataDescriptor_t rnnDataDesc,
+                          cudnnDataType_t *dataType,
+                          cudnnRNNDataLayout_t *layout,
+                          int *maxSeqLength,
+                          int *batchSize,
+                          int *vectorSize,
+                          int arrayLengthRequested,
+                          int seqLengthArray[],
+                          void *paddingFill);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNForwardInferenceEx(cudnnHandle_t handle,
+                           const cudnnRNNDescriptor_t rnnDesc,
+                           const cudnnRNNDataDescriptor_t xDesc,
+                           const void *x,
+                           const cudnnTensorDescriptor_t hxDesc,
+                           const void *hx,
+                           const cudnnTensorDescriptor_t cxDesc,
+                           const void *cx,
+                           const cudnnFilterDescriptor_t wDesc,
+                           const void *w,
+                           const cudnnRNNDataDescriptor_t yDesc,
+                           void *y,
+                           const cudnnTensorDescriptor_t hyDesc,
+                           void *hy,
+                           const cudnnTensorDescriptor_t cyDesc,
+                           void *cy,
+                           const cudnnRNNDataDescriptor_t kDesc, /* reserved, should pass NULL */
+                           const void *keys,                     /* reserved, should pass NULL */
+                           const cudnnRNNDataDescriptor_t cDesc, /* reserved, should pass NULL */
+                           void *cAttn,                          /* reserved, should pass NULL */
+                           const cudnnRNNDataDescriptor_t iDesc, /* reserved, should pass NULL */
+                           void *iAttn,                          /* reserved, should pass NULL */
+                           const cudnnRNNDataDescriptor_t qDesc, /* reserved, should pass NULL */
+                           void *queries,                        /* reserved, should pass NULL */
+                           void *workSpace,
+                           size_t workSpaceSizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNForward(cudnnHandle_t handle,
+                cudnnRNNDescriptor_t rnnDesc,
+                cudnnForwardMode_t fwdMode,
+                const int32_t devSeqLengths[],
+                cudnnRNNDataDescriptor_t xDesc,
+                const void *x,
+                cudnnRNNDataDescriptor_t yDesc,
+                void *y,
+                cudnnTensorDescriptor_t hDesc,
+                const void *hx,
+                void *hy,
+                cudnnTensorDescriptor_t cDesc,
+                const void *cx,
+                void *cy,
+                size_t weightSpaceSize,
+                const void *weightSpace,
+                size_t workSpaceSize,
+                void *workSpace,
+                size_t reserveSpaceSize,
+                void *reserveSpace);
+
+/* RNN FIND API */
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNAlgorithmDescriptor(cudnnHandle_t handle, cudnnRNNDescriptor_t rnnDesc, cudnnAlgorithmDescriptor_t algoDesc);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNForwardInferenceAlgorithmMaxCount(cudnnHandle_t handle, const cudnnRNNDescriptor_t rnnDesc, int *count);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnFindRNNForwardInferenceAlgorithmEx(cudnnHandle_t handle,
+                                        const cudnnRNNDescriptor_t rnnDesc,
+                                        const int seqLength,
+                                        const cudnnTensorDescriptor_t *xDesc,
+                                        const void *x,
+                                        const cudnnTensorDescriptor_t hxDesc,
+                                        const void *hx,
+                                        const cudnnTensorDescriptor_t cxDesc,
+                                        const void *cx,
+                                        const cudnnFilterDescriptor_t wDesc,
+                                        const void *w,
+                                        const cudnnTensorDescriptor_t *yDesc,
+                                        void *y,
+                                        const cudnnTensorDescriptor_t hyDesc,
+                                        void *hy,
+                                        const cudnnTensorDescriptor_t cyDesc,
+                                        void *cy,
+                                        const float findIntensity,
+                                        const int requestedAlgoCount,
+                                        int *returnedAlgoCount,
+                                        cudnnAlgorithmPerformance_t *perfResults,
+                                        void *workspace,
+                                        size_t workSpaceSizeInBytes);
+
+/* Sequence data descriptor */
+
+typedef enum {
+    CUDNN_SEQDATA_TIME_DIM  = 0, /* index in time */
+    CUDNN_SEQDATA_BATCH_DIM = 1, /* index in batch */
+    CUDNN_SEQDATA_BEAM_DIM  = 2, /* index in beam */
+    CUDNN_SEQDATA_VECT_DIM  = 3  /* index in vector */
+} cudnnSeqDataAxis_t;
+
+struct cudnnSeqDataStruct;
+typedef struct cudnnSeqDataStruct *cudnnSeqDataDescriptor_t;
+
+#define CUDNN_SEQDATA_DIM_COUNT 4 /* dimension count */
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateSeqDataDescriptor(cudnnSeqDataDescriptor_t *seqDataDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroySeqDataDescriptor(cudnnSeqDataDescriptor_t seqDataDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetSeqDataDescriptor(cudnnSeqDataDescriptor_t seqDataDesc,
+                          cudnnDataType_t dataType,
+                          int nbDims,
+                          const int dimA[],
+                          const cudnnSeqDataAxis_t axes[],
+                          size_t seqLengthArraySize,
+                          const int seqLengthArray[],
+                          void *paddingFill);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetSeqDataDescriptor(const cudnnSeqDataDescriptor_t seqDataDesc,
+                          cudnnDataType_t *dataType,
+                          int *nbDims,
+                          int nbDimsRequested,
+                          int dimA[],
+                          cudnnSeqDataAxis_t axes[],
+                          size_t *seqLengthArraySize,
+                          size_t seqLengthSizeRequested,
+                          int seqLengthArray[],
+                          void *paddingFill);
+
+/* Multihead Attention */
+
+/* Legacy type for backward compatibility */
+typedef unsigned cudnnAttnQueryMap_t;
+
+/*
+ * Multi-head attention options passed via 'attnMode' in cudnnSetAttnDescriptor().
+ * Use the bitwise OR operator to combine several settings listed below.  Additional
+ * minor options can be added here w/o changing or introducing new API functions.
+ */
+#define CUDNN_ATTN_QUERYMAP_ALL_TO_ONE 0         /* multiple Q-s map to a single (K,V) set when beam size > 1 */
+#define CUDNN_ATTN_QUERYMAP_ONE_TO_ONE (1U << 0) /* multiple Q-s map to multiple (K,V) sets when beam size > 1 */
+#define CUDNN_ATTN_DISABLE_PROJ_BIASES 0         /* no biases in attention input and output projections */
+#define CUDNN_ATTN_ENABLE_PROJ_BIASES (1U << 1)  /* use biases in attention input and output projections */
+
+struct cudnnAttnStruct;
+typedef struct cudnnAttnStruct *cudnnAttnDescriptor_t;
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateAttnDescriptor(cudnnAttnDescriptor_t *attnDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyAttnDescriptor(cudnnAttnDescriptor_t attnDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetAttnDescriptor(cudnnAttnDescriptor_t attnDesc,
+                       unsigned attnMode,
+                       int nHeads,
+                       double smScaler,
+                       cudnnDataType_t dataType,
+                       cudnnDataType_t computePrec,
+                       cudnnMathType_t mathType,
+                       cudnnDropoutDescriptor_t attnDropoutDesc,
+                       cudnnDropoutDescriptor_t postDropoutDesc,
+                       int qSize,
+                       int kSize,
+                       int vSize,
+                       int qProjSize,
+                       int kProjSize,
+                       int vProjSize,
+                       int oProjSize,
+                       int qoMaxSeqLength,
+                       int kvMaxSeqLength,
+                       int maxBatchSize,
+                       int maxBeamSize);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetAttnDescriptor(cudnnAttnDescriptor_t attnDesc,
+                       unsigned *attnMode,
+                       int *nHeads,
+                       double *smScaler,
+                       cudnnDataType_t *dataType,
+                       cudnnDataType_t *computePrec,
+                       cudnnMathType_t *mathType,
+                       cudnnDropoutDescriptor_t *attnDropoutDesc,
+                       cudnnDropoutDescriptor_t *postDropoutDesc,
+                       int *qSize,
+                       int *kSize,
+                       int *vSize,
+                       int *qProjSize,
+                       int *kProjSize,
+                       int *vProjSize,
+                       int *oProjSize,
+                       int *qoMaxSeqLength,
+                       int *kvMaxSeqLength,
+                       int *maxBatchSize,
+                       int *maxBeamSize);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetMultiHeadAttnBuffers(cudnnHandle_t handle,
+                             const cudnnAttnDescriptor_t attnDesc,
+                             size_t *weightSizeInBytes,
+                             size_t *workSpaceSizeInBytes,
+                             size_t *reserveSpaceSizeInBytes);
+
+typedef enum {
+    CUDNN_MH_ATTN_Q_WEIGHTS = 0, /* input projection weights for 'queries' */
+    CUDNN_MH_ATTN_K_WEIGHTS = 1, /* input projection weights for 'keys' */
+    CUDNN_MH_ATTN_V_WEIGHTS = 2, /* input projection weights for 'values' */
+    CUDNN_MH_ATTN_O_WEIGHTS = 3, /* output projection weights */
+    CUDNN_MH_ATTN_Q_BIASES  = 4, /* input projection bias tensor for 'queries' */
+    CUDNN_MH_ATTN_K_BIASES  = 5, /* input projection bias for 'keys' */
+    CUDNN_MH_ATTN_V_BIASES  = 6, /* input projection bias for 'values' */
+    CUDNN_MH_ATTN_O_BIASES  = 7, /* output projection biases */
+} cudnnMultiHeadAttnWeightKind_t;
+
+#define CUDNN_ATTN_WKIND_COUNT 8 /* Number of attention weight/bias tensors */
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetMultiHeadAttnWeights(cudnnHandle_t handle,
+                             const cudnnAttnDescriptor_t attnDesc,
+                             cudnnMultiHeadAttnWeightKind_t wKind,
+                             size_t weightSizeInBytes,
+                             const void *weights,
+                             cudnnTensorDescriptor_t wDesc,
+                             void **wAddr);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnMultiHeadAttnForward(cudnnHandle_t handle,
+                          const cudnnAttnDescriptor_t attnDesc,
+                          int currIdx,
+                          const int loWinIdx[],
+                          const int hiWinIdx[],
+                          const int devSeqLengthsQO[],
+                          const int devSeqLengthsKV[],
+                          const cudnnSeqDataDescriptor_t qDesc,
+                          const void *queries,
+                          const void *residuals,
+                          const cudnnSeqDataDescriptor_t kDesc,
+                          const void *keys,
+                          const cudnnSeqDataDescriptor_t vDesc,
+                          const void *values,
+                          const cudnnSeqDataDescriptor_t oDesc,
+                          void *out,
+                          size_t weightSizeInBytes,
+                          const void *weights,
+                          size_t workSpaceSizeInBytes,
+                          void *workSpace,
+                          size_t reserveSpaceSizeInBytes,
+                          void *reserveSpace);
+
+/*
+ * \brief Cross-library version checker.
+ * This function is implemented differently in each sub-library. Each sublib
+ * checks whether its own version matches that of its dependencies.
+ * \returns CUDNN_STATUS_SUCCESS if the version check passes,
+ *          CUDNN_STATUS_VERSION_MISMATCH if the versions are inconsistent.
+ */
+cudnnStatus_t CUDNNWINAPI
+cudnnAdvInferVersionCheck(void);
+
+#if defined(__cplusplus)
+}
+#endif
+
+#endif /* CUDNN_ADV_INFER_H_ */

pllava/lib/python3.10/site-packages/nvidia/cudnn/include/cudnn_adv_infer_v8.h

@@ -0,0 +1,658 @@
+/*
+ * Copyright 2017-2022 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+/*   cudnn_adv_infer : cuDNN's advanced and experimental features.
+
+*/
+
+#if !defined(CUDNN_ADV_INFER_H_)
+#define CUDNN_ADV_INFER_H_
+
+#include <cuda_runtime.h>
+#include <stdint.h>
+
+#include "cudnn_version.h"
+#include "cudnn_ops_infer.h"
+
+/* These version numbers are autogenerated, do not edit manually. */
+#define CUDNN_ADV_INFER_MAJOR 8
+#define CUDNN_ADV_INFER_MINOR 7
+#define CUDNN_ADV_INFER_PATCH 0
+
+#if (CUDNN_ADV_INFER_MAJOR != CUDNN_MAJOR) || (CUDNN_ADV_INFER_MINOR != CUDNN_MINOR) || \
+    (CUDNN_ADV_INFER_PATCH != CUDNN_PATCHLEVEL)
+#error Version mismatch in cuDNN ADV INFER!!!
+#endif
+
+#if defined(__cplusplus)
+extern "C" {
+#endif
+
+/* BASIC RNN API */
+
+typedef enum {
+    CUDNN_FWD_MODE_INFERENCE = 0,
+    CUDNN_FWD_MODE_TRAINING  = 1,
+} cudnnForwardMode_t;
+
+typedef enum {
+    CUDNN_RNN_RELU = 0, /* basic RNN cell type with ReLu activation */
+    CUDNN_RNN_TANH = 1, /* basic RNN cell type with tanh activation */
+    CUDNN_LSTM     = 2, /* LSTM with optional recurrent projection and clipping */
+    CUDNN_GRU      = 3, /* Using h' = tanh(r * Uh(t-1) + Wx) and h = (1 - z) * h' + z * h(t-1); */
+} cudnnRNNMode_t;
+
+typedef enum {
+    CUDNN_RNN_NO_BIAS         = 0, /* rnn cell formulas do not use biases */
+    CUDNN_RNN_SINGLE_INP_BIAS = 1, /* rnn cell formulas use one input bias in input GEMM */
+    CUDNN_RNN_DOUBLE_BIAS     = 2, /* default, rnn cell formulas use two bias vectors */
+    CUDNN_RNN_SINGLE_REC_BIAS = 3  /* rnn cell formulas use one recurrent bias in recurrent GEMM */
+} cudnnRNNBiasMode_t;
+
+typedef enum {
+    CUDNN_UNIDIRECTIONAL = 0, /* single direction network */
+    CUDNN_BIDIRECTIONAL  = 1, /* output concatination at each layer */
+} cudnnDirectionMode_t;
+
+typedef enum {
+    CUDNN_LINEAR_INPUT = 0, /* adjustable weight matrix in first layer input GEMM */
+    CUDNN_SKIP_INPUT   = 1, /* fixed identity matrix in the first layer input GEMM */
+} cudnnRNNInputMode_t;
+
+typedef enum {
+    CUDNN_RNN_CLIP_NONE   = 0, /* disables LSTM cell clipping */
+    CUDNN_RNN_CLIP_MINMAX = 1, /* enables LSTM cell clipping */
+} cudnnRNNClipMode_t;
+
+typedef enum {
+    CUDNN_RNN_DATA_LAYOUT_SEQ_MAJOR_UNPACKED   = 0, /* padded, outer stride from one time-step to the next */
+    CUDNN_RNN_DATA_LAYOUT_SEQ_MAJOR_PACKED     = 1, /* sequence length sorted and packed as in basic RNN api */
+    CUDNN_RNN_DATA_LAYOUT_BATCH_MAJOR_UNPACKED = 2, /* padded, outer stride from one batch to the next */
+} cudnnRNNDataLayout_t;
+
+/* Legacy type for backward compatibility */
+typedef unsigned cudnnRNNPaddingMode_t;
+
+/* For auxFlags in cudnnSetRNNDescriptor_v8() and cudnnSetRNNPaddingMode() */
+#define CUDNN_RNN_PADDED_IO_DISABLED 0
+#define CUDNN_RNN_PADDED_IO_ENABLED (1U << 0)
+
+struct cudnnRNNStruct;
+typedef struct cudnnRNNStruct *cudnnRNNDescriptor_t;
+
+struct cudnnPersistentRNNPlan;
+typedef struct cudnnPersistentRNNPlan *cudnnPersistentRNNPlan_t;
+
+struct cudnnRNNDataStruct;
+typedef struct cudnnRNNDataStruct *cudnnRNNDataDescriptor_t;
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateRNNDescriptor(cudnnRNNDescriptor_t *rnnDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyRNNDescriptor(cudnnRNNDescriptor_t rnnDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNDescriptor_v8(cudnnRNNDescriptor_t rnnDesc,
+                         cudnnRNNAlgo_t algo,
+                         cudnnRNNMode_t cellMode,
+                         cudnnRNNBiasMode_t biasMode,
+                         cudnnDirectionMode_t dirMode,
+                         cudnnRNNInputMode_t inputMode,
+                         cudnnDataType_t dataType,
+                         cudnnDataType_t mathPrec,
+                         cudnnMathType_t mathType,
+                         int32_t inputSize,
+                         int32_t hiddenSize,
+                         int32_t projSize,
+                         int32_t numLayers,
+                         cudnnDropoutDescriptor_t dropoutDesc,
+                         uint32_t auxFlags);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNDescriptor_v8(cudnnRNNDescriptor_t rnnDesc,
+                         cudnnRNNAlgo_t *algo,
+                         cudnnRNNMode_t *cellMode,
+                         cudnnRNNBiasMode_t *biasMode,
+                         cudnnDirectionMode_t *dirMode,
+                         cudnnRNNInputMode_t *inputMode,
+                         cudnnDataType_t *dataType,
+                         cudnnDataType_t *mathPrec,
+                         cudnnMathType_t *mathType,
+                         int32_t *inputSize,
+                         int32_t *hiddenSize,
+                         int32_t *projSize,
+                         int32_t *numLayers,
+                         cudnnDropoutDescriptor_t *dropoutDesc,
+                         uint32_t *auxFlags);
+
+/*
+ * mathPrec in cudnnSetRNNDescriptor_v6() specifies compute precision
+ * compute precision is further modified by cudnnSetRNNMatrixMathType()
+ * dataType in cudnnGetRNNParamsSize() and wDesc specify weight storage
+ * dropout is between RNN layers, not between recurrent steps
+ */
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNDescriptor_v6(cudnnHandle_t handle,
+                         cudnnRNNDescriptor_t rnnDesc,
+                         const int hiddenSize,
+                         const int numLayers,
+                         cudnnDropoutDescriptor_t dropoutDesc,
+                         cudnnRNNInputMode_t inputMode,
+                         cudnnDirectionMode_t direction,
+                         cudnnRNNMode_t cellMode,
+                         cudnnRNNAlgo_t algo,
+                         cudnnDataType_t mathPrec);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNDescriptor_v6(cudnnHandle_t handle,
+                         cudnnRNNDescriptor_t rnnDesc,
+                         int *hiddenSize,
+                         int *numLayers,
+                         cudnnDropoutDescriptor_t *dropoutDesc,
+                         cudnnRNNInputMode_t *inputMode,
+                         cudnnDirectionMode_t *direction,
+                         cudnnRNNMode_t *cellMode,
+                         cudnnRNNAlgo_t *algo,
+                         cudnnDataType_t *mathPrec);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNMatrixMathType(cudnnRNNDescriptor_t rnnDesc, cudnnMathType_t mType);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNMatrixMathType(cudnnRNNDescriptor_t rnnDesc, cudnnMathType_t *mType);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNBiasMode(cudnnRNNDescriptor_t rnnDesc, cudnnRNNBiasMode_t biasMode);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNBiasMode(cudnnRNNDescriptor_t rnnDesc, cudnnRNNBiasMode_t *biasMode);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNSetClip_v8(cudnnRNNDescriptor_t rnnDesc,
+                   cudnnRNNClipMode_t clipMode,
+                   cudnnNanPropagation_t clipNanOpt,
+                   double lclip,
+                   double rclip);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNGetClip_v8(cudnnRNNDescriptor_t rnnDesc,
+                   cudnnRNNClipMode_t *clipMode,
+                   cudnnNanPropagation_t *clipNanOpt,
+                   double *lclip,
+                   double *rclip);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNSetClip(cudnnHandle_t handle,
+                cudnnRNNDescriptor_t rnnDesc,
+                cudnnRNNClipMode_t clipMode,
+                cudnnNanPropagation_t clipNanOpt,
+                double lclip,
+                double rclip);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNGetClip(cudnnHandle_t handle,
+                cudnnRNNDescriptor_t rnnDesc,
+                cudnnRNNClipMode_t *clipMode,
+                cudnnNanPropagation_t *clipNanOpt,
+                double *lclip,
+                double *rclip);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNProjectionLayers(cudnnHandle_t handle,
+                            cudnnRNNDescriptor_t rnnDesc,
+                            const int recProjSize,
+                            const int outProjSize);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNProjectionLayers(cudnnHandle_t handle,
+                            const cudnnRNNDescriptor_t rnnDesc,
+                            int *recProjSize,
+                            int *outProjSize);
+
+/* Expensive. Creates the plan for the specific settings. */
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnCreatePersistentRNNPlan(cudnnRNNDescriptor_t rnnDesc,
+                             const int minibatch,
+                             const cudnnDataType_t dataType,
+                             cudnnPersistentRNNPlan_t *plan);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnDestroyPersistentRNNPlan(cudnnPersistentRNNPlan_t plan);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetPersistentRNNPlan(cudnnRNNDescriptor_t rnnDesc, cudnnPersistentRNNPlan_t plan);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBuildRNNDynamic(cudnnHandle_t handle, cudnnRNNDescriptor_t rnnDesc, int miniBatch);
+
+/* dataType in weight descriptors and input descriptors is used to describe storage */
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNWorkspaceSize(cudnnHandle_t handle,
+                         const cudnnRNNDescriptor_t rnnDesc,
+                         const int seqLength,
+                         const cudnnTensorDescriptor_t *xDesc,
+                         size_t *sizeInBytes);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNTrainingReserveSize(cudnnHandle_t handle,
+                               const cudnnRNNDescriptor_t rnnDesc,
+                               const int seqLength,
+                               const cudnnTensorDescriptor_t *xDesc,
+                               size_t *sizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNTempSpaceSizes(cudnnHandle_t handle,
+                          cudnnRNNDescriptor_t rnnDesc,
+                          cudnnForwardMode_t fMode,
+                          cudnnRNNDataDescriptor_t xDesc,
+                          size_t *workSpaceSize,
+                          size_t *reserveSpaceSize);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNParamsSize(cudnnHandle_t handle,
+                      const cudnnRNNDescriptor_t rnnDesc,
+                      const cudnnTensorDescriptor_t xDesc,
+                      size_t *sizeInBytes,
+                      cudnnDataType_t dataType);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNWeightSpaceSize(cudnnHandle_t handle, cudnnRNNDescriptor_t rnnDesc, size_t *weightSpaceSize);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNLinLayerMatrixParams(cudnnHandle_t handle,
+                                const cudnnRNNDescriptor_t rnnDesc,
+                                const int pseudoLayer,
+                                const cudnnTensorDescriptor_t xDesc,
+                                const cudnnFilterDescriptor_t wDesc,
+                                const void *w,
+                                const int linLayerID,
+                                cudnnFilterDescriptor_t linLayerMatDesc,
+                                void **linLayerMat);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNLinLayerBiasParams(cudnnHandle_t handle,
+                              const cudnnRNNDescriptor_t rnnDesc,
+                              const int pseudoLayer,
+                              const cudnnTensorDescriptor_t xDesc,
+                              const cudnnFilterDescriptor_t wDesc,
+                              const void *w,
+                              const int linLayerID,
+                              cudnnFilterDescriptor_t linLayerBiasDesc,
+                              void **linLayerBias);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNWeightParams(cudnnHandle_t handle,
+                        cudnnRNNDescriptor_t rnnDesc,
+                        int32_t pseudoLayer,
+                        size_t weightSpaceSize,
+                        const void *weightSpace,
+                        int32_t linLayerID,
+                        cudnnTensorDescriptor_t mDesc,
+                        void **mAddr,
+                        cudnnTensorDescriptor_t bDesc,
+                        void **bAddr);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNForwardInference(cudnnHandle_t handle,
+                         const cudnnRNNDescriptor_t rnnDesc,
+                         const int seqLength,
+                         const cudnnTensorDescriptor_t *xDesc,
+                         const void *x,
+                         const cudnnTensorDescriptor_t hxDesc,
+                         const void *hx,
+                         const cudnnTensorDescriptor_t cxDesc,
+                         const void *cx,
+                         const cudnnFilterDescriptor_t wDesc,
+                         const void *w,
+                         const cudnnTensorDescriptor_t *yDesc,
+                         void *y,
+                         const cudnnTensorDescriptor_t hyDesc,
+                         void *hy,
+                         const cudnnTensorDescriptor_t cyDesc,
+                         void *cy,
+                         void *workSpace,
+                         size_t workSpaceSizeInBytes);
+
+/* RNN EX API */
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNPaddingMode(cudnnRNNDescriptor_t rnnDesc, unsigned paddingMode);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNPaddingMode(cudnnRNNDescriptor_t rnnDesc, unsigned *paddingMode);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateRNNDataDescriptor(cudnnRNNDataDescriptor_t *rnnDataDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyRNNDataDescriptor(cudnnRNNDataDescriptor_t rnnDataDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNDataDescriptor(cudnnRNNDataDescriptor_t rnnDataDesc,
+                          cudnnDataType_t dataType,
+                          cudnnRNNDataLayout_t layout,
+                          int maxSeqLength,
+                          int batchSize,
+                          int vectorSize,
+                          const int seqLengthArray[], /* length of each sequence in the batch */
+                          void *paddingFill);         /* symbol for filling padding position in output */
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNDataDescriptor(cudnnRNNDataDescriptor_t rnnDataDesc,
+                          cudnnDataType_t *dataType,
+                          cudnnRNNDataLayout_t *layout,
+                          int *maxSeqLength,
+                          int *batchSize,
+                          int *vectorSize,
+                          int arrayLengthRequested,
+                          int seqLengthArray[],
+                          void *paddingFill);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNForwardInferenceEx(cudnnHandle_t handle,
+                           const cudnnRNNDescriptor_t rnnDesc,
+                           const cudnnRNNDataDescriptor_t xDesc,
+                           const void *x,
+                           const cudnnTensorDescriptor_t hxDesc,
+                           const void *hx,
+                           const cudnnTensorDescriptor_t cxDesc,
+                           const void *cx,
+                           const cudnnFilterDescriptor_t wDesc,
+                           const void *w,
+                           const cudnnRNNDataDescriptor_t yDesc,
+                           void *y,
+                           const cudnnTensorDescriptor_t hyDesc,
+                           void *hy,
+                           const cudnnTensorDescriptor_t cyDesc,
+                           void *cy,
+                           const cudnnRNNDataDescriptor_t kDesc, /* reserved, should pass NULL */
+                           const void *keys,                     /* reserved, should pass NULL */
+                           const cudnnRNNDataDescriptor_t cDesc, /* reserved, should pass NULL */
+                           void *cAttn,                          /* reserved, should pass NULL */
+                           const cudnnRNNDataDescriptor_t iDesc, /* reserved, should pass NULL */
+                           void *iAttn,                          /* reserved, should pass NULL */
+                           const cudnnRNNDataDescriptor_t qDesc, /* reserved, should pass NULL */
+                           void *queries,                        /* reserved, should pass NULL */
+                           void *workSpace,
+                           size_t workSpaceSizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNForward(cudnnHandle_t handle,
+                cudnnRNNDescriptor_t rnnDesc,
+                cudnnForwardMode_t fwdMode,
+                const int32_t devSeqLengths[],
+                cudnnRNNDataDescriptor_t xDesc,
+                const void *x,
+                cudnnRNNDataDescriptor_t yDesc,
+                void *y,
+                cudnnTensorDescriptor_t hDesc,
+                const void *hx,
+                void *hy,
+                cudnnTensorDescriptor_t cDesc,
+                const void *cx,
+                void *cy,
+                size_t weightSpaceSize,
+                const void *weightSpace,
+                size_t workSpaceSize,
+                void *workSpace,
+                size_t reserveSpaceSize,
+                void *reserveSpace);
+
+/* RNN FIND API */
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnSetRNNAlgorithmDescriptor(cudnnHandle_t handle, cudnnRNNDescriptor_t rnnDesc, cudnnAlgorithmDescriptor_t algoDesc);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNForwardInferenceAlgorithmMaxCount(cudnnHandle_t handle, const cudnnRNNDescriptor_t rnnDesc, int *count);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnFindRNNForwardInferenceAlgorithmEx(cudnnHandle_t handle,
+                                        const cudnnRNNDescriptor_t rnnDesc,
+                                        const int seqLength,
+                                        const cudnnTensorDescriptor_t *xDesc,
+                                        const void *x,
+                                        const cudnnTensorDescriptor_t hxDesc,
+                                        const void *hx,
+                                        const cudnnTensorDescriptor_t cxDesc,
+                                        const void *cx,
+                                        const cudnnFilterDescriptor_t wDesc,
+                                        const void *w,
+                                        const cudnnTensorDescriptor_t *yDesc,
+                                        void *y,
+                                        const cudnnTensorDescriptor_t hyDesc,
+                                        void *hy,
+                                        const cudnnTensorDescriptor_t cyDesc,
+                                        void *cy,
+                                        const float findIntensity,
+                                        const int requestedAlgoCount,
+                                        int *returnedAlgoCount,
+                                        cudnnAlgorithmPerformance_t *perfResults,
+                                        void *workspace,
+                                        size_t workSpaceSizeInBytes);
+
+/* Sequence data descriptor */
+
+typedef enum {
+    CUDNN_SEQDATA_TIME_DIM  = 0, /* index in time */
+    CUDNN_SEQDATA_BATCH_DIM = 1, /* index in batch */
+    CUDNN_SEQDATA_BEAM_DIM  = 2, /* index in beam */
+    CUDNN_SEQDATA_VECT_DIM  = 3  /* index in vector */
+} cudnnSeqDataAxis_t;
+
+struct cudnnSeqDataStruct;
+typedef struct cudnnSeqDataStruct *cudnnSeqDataDescriptor_t;
+
+#define CUDNN_SEQDATA_DIM_COUNT 4 /* dimension count */
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateSeqDataDescriptor(cudnnSeqDataDescriptor_t *seqDataDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroySeqDataDescriptor(cudnnSeqDataDescriptor_t seqDataDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetSeqDataDescriptor(cudnnSeqDataDescriptor_t seqDataDesc,
+                          cudnnDataType_t dataType,
+                          int nbDims,
+                          const int dimA[],
+                          const cudnnSeqDataAxis_t axes[],
+                          size_t seqLengthArraySize,
+                          const int seqLengthArray[],
+                          void *paddingFill);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetSeqDataDescriptor(const cudnnSeqDataDescriptor_t seqDataDesc,
+                          cudnnDataType_t *dataType,
+                          int *nbDims,
+                          int nbDimsRequested,
+                          int dimA[],
+                          cudnnSeqDataAxis_t axes[],
+                          size_t *seqLengthArraySize,
+                          size_t seqLengthSizeRequested,
+                          int seqLengthArray[],
+                          void *paddingFill);
+
+/* Multihead Attention */
+
+/* Legacy type for backward compatibility */
+typedef unsigned cudnnAttnQueryMap_t;
+
+/*
+ * Multi-head attention options passed via 'attnMode' in cudnnSetAttnDescriptor().
+ * Use the bitwise OR operator to combine several settings listed below.  Additional
+ * minor options can be added here w/o changing or introducing new API functions.
+ */
+#define CUDNN_ATTN_QUERYMAP_ALL_TO_ONE 0         /* multiple Q-s map to a single (K,V) set when beam size > 1 */
+#define CUDNN_ATTN_QUERYMAP_ONE_TO_ONE (1U << 0) /* multiple Q-s map to multiple (K,V) sets when beam size > 1 */
+#define CUDNN_ATTN_DISABLE_PROJ_BIASES 0         /* no biases in attention input and output projections */
+#define CUDNN_ATTN_ENABLE_PROJ_BIASES (1U << 1)  /* use biases in attention input and output projections */
+
+struct cudnnAttnStruct;
+typedef struct cudnnAttnStruct *cudnnAttnDescriptor_t;
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateAttnDescriptor(cudnnAttnDescriptor_t *attnDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyAttnDescriptor(cudnnAttnDescriptor_t attnDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetAttnDescriptor(cudnnAttnDescriptor_t attnDesc,
+                       unsigned attnMode,
+                       int nHeads,
+                       double smScaler,
+                       cudnnDataType_t dataType,
+                       cudnnDataType_t computePrec,
+                       cudnnMathType_t mathType,
+                       cudnnDropoutDescriptor_t attnDropoutDesc,
+                       cudnnDropoutDescriptor_t postDropoutDesc,
+                       int qSize,
+                       int kSize,
+                       int vSize,
+                       int qProjSize,
+                       int kProjSize,
+                       int vProjSize,
+                       int oProjSize,
+                       int qoMaxSeqLength,
+                       int kvMaxSeqLength,
+                       int maxBatchSize,
+                       int maxBeamSize);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetAttnDescriptor(cudnnAttnDescriptor_t attnDesc,
+                       unsigned *attnMode,
+                       int *nHeads,
+                       double *smScaler,
+                       cudnnDataType_t *dataType,
+                       cudnnDataType_t *computePrec,
+                       cudnnMathType_t *mathType,
+                       cudnnDropoutDescriptor_t *attnDropoutDesc,
+                       cudnnDropoutDescriptor_t *postDropoutDesc,
+                       int *qSize,
+                       int *kSize,
+                       int *vSize,
+                       int *qProjSize,
+                       int *kProjSize,
+                       int *vProjSize,
+                       int *oProjSize,
+                       int *qoMaxSeqLength,
+                       int *kvMaxSeqLength,
+                       int *maxBatchSize,
+                       int *maxBeamSize);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetMultiHeadAttnBuffers(cudnnHandle_t handle,
+                             const cudnnAttnDescriptor_t attnDesc,
+                             size_t *weightSizeInBytes,
+                             size_t *workSpaceSizeInBytes,
+                             size_t *reserveSpaceSizeInBytes);
+
+typedef enum {
+    CUDNN_MH_ATTN_Q_WEIGHTS = 0, /* input projection weights for 'queries' */
+    CUDNN_MH_ATTN_K_WEIGHTS = 1, /* input projection weights for 'keys' */
+    CUDNN_MH_ATTN_V_WEIGHTS = 2, /* input projection weights for 'values' */
+    CUDNN_MH_ATTN_O_WEIGHTS = 3, /* output projection weights */
+    CUDNN_MH_ATTN_Q_BIASES  = 4, /* input projection bias tensor for 'queries' */
+    CUDNN_MH_ATTN_K_BIASES  = 5, /* input projection bias for 'keys' */
+    CUDNN_MH_ATTN_V_BIASES  = 6, /* input projection bias for 'values' */
+    CUDNN_MH_ATTN_O_BIASES  = 7, /* output projection biases */
+} cudnnMultiHeadAttnWeightKind_t;
+
+#define CUDNN_ATTN_WKIND_COUNT 8 /* Number of attention weight/bias tensors */
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetMultiHeadAttnWeights(cudnnHandle_t handle,
+                             const cudnnAttnDescriptor_t attnDesc,
+                             cudnnMultiHeadAttnWeightKind_t wKind,
+                             size_t weightSizeInBytes,
+                             const void *weights,
+                             cudnnTensorDescriptor_t wDesc,
+                             void **wAddr);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnMultiHeadAttnForward(cudnnHandle_t handle,
+                          const cudnnAttnDescriptor_t attnDesc,
+                          int currIdx,
+                          const int loWinIdx[],
+                          const int hiWinIdx[],
+                          const int devSeqLengthsQO[],
+                          const int devSeqLengthsKV[],
+                          const cudnnSeqDataDescriptor_t qDesc,
+                          const void *queries,
+                          const void *residuals,
+                          const cudnnSeqDataDescriptor_t kDesc,
+                          const void *keys,
+                          const cudnnSeqDataDescriptor_t vDesc,
+                          const void *values,
+                          const cudnnSeqDataDescriptor_t oDesc,
+                          void *out,
+                          size_t weightSizeInBytes,
+                          const void *weights,
+                          size_t workSpaceSizeInBytes,
+                          void *workSpace,
+                          size_t reserveSpaceSizeInBytes,
+                          void *reserveSpace);
+
+/*
+ * \brief Cross-library version checker.
+ * This function is implemented differently in each sub-library. Each sublib
+ * checks whether its own version matches that of its dependencies.
+ * \returns CUDNN_STATUS_SUCCESS if the version check passes,
+ *          CUDNN_STATUS_VERSION_MISMATCH if the versions are inconsistent.
+ */
+cudnnStatus_t CUDNNWINAPI
+cudnnAdvInferVersionCheck(void);
+
+#if defined(__cplusplus)
+}
+#endif
+
+#endif /* CUDNN_ADV_INFER_H_ */

pllava/lib/python3.10/site-packages/nvidia/cudnn/include/cudnn_adv_train.h

@@ -0,0 +1,540 @@
+/*
+ * Copyright 2017-2022 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+/*   cudnn_adv_train : cuDNN's advanced and experimental features.
+
+*/
+
+#if !defined(CUDNN_ADV_TRAIN_H_)
+#define CUDNN_ADV_TRAIN_H_
+
+#include <cuda_runtime.h>
+#include <stdint.h>
+
+#include "cudnn_version.h"
+#include "cudnn_ops_infer.h"
+#include "cudnn_ops_train.h"
+#include "cudnn_adv_infer.h"
+
+/* These version numbers are autogenerated, do not edit manually. */
+#define CUDNN_ADV_TRAIN_MAJOR 8
+#define CUDNN_ADV_TRAIN_MINOR 7
+#define CUDNN_ADV_TRAIN_PATCH 0
+
+#if (CUDNN_ADV_TRAIN_MAJOR != CUDNN_MAJOR) || (CUDNN_ADV_TRAIN_MINOR != CUDNN_MINOR) || \
+    (CUDNN_ADV_TRAIN_PATCH != CUDNN_PATCHLEVEL)
+#error Version mismatch in cuDNN ADV TRAIN!!!
+#endif
+
+#if defined(__cplusplus)
+extern "C" {
+#endif
+
+typedef enum {
+    CUDNN_WGRAD_MODE_ADD = 0, /* add partial gradients to wgrad output buffers */
+    CUDNN_WGRAD_MODE_SET = 1, /* write partial gradients to wgrad output buffers */
+} cudnnWgradMode_t;
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNForwardTraining(cudnnHandle_t handle,
+                        const cudnnRNNDescriptor_t rnnDesc,
+                        const int seqLength,
+                        const cudnnTensorDescriptor_t *xDesc,
+                        const void *x,
+                        const cudnnTensorDescriptor_t hxDesc,
+                        const void *hx,
+                        const cudnnTensorDescriptor_t cxDesc,
+                        const void *cx,
+                        const cudnnFilterDescriptor_t wDesc,
+                        const void *w,
+                        const cudnnTensorDescriptor_t *yDesc,
+                        void *y,
+                        const cudnnTensorDescriptor_t hyDesc,
+                        void *hy,
+                        const cudnnTensorDescriptor_t cyDesc,
+                        void *cy,
+                        void *workSpace,
+                        size_t workSpaceSizeInBytes,
+                        void *reserveSpace,
+                        size_t reserveSpaceSizeInBytes);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNBackwardData(cudnnHandle_t handle,
+                     const cudnnRNNDescriptor_t rnnDesc,
+                     const int seqLength,
+                     const cudnnTensorDescriptor_t *yDesc,
+                     const void *y,
+                     const cudnnTensorDescriptor_t *dyDesc,
+                     const void *dy,
+                     const cudnnTensorDescriptor_t dhyDesc,
+                     const void *dhy,
+                     const cudnnTensorDescriptor_t dcyDesc,
+                     const void *dcy,
+                     const cudnnFilterDescriptor_t wDesc,
+                     const void *w,
+                     const cudnnTensorDescriptor_t hxDesc,
+                     const void *hx,
+                     const cudnnTensorDescriptor_t cxDesc,
+                     const void *cx,
+                     const cudnnTensorDescriptor_t *dxDesc,
+                     void *dx,
+                     const cudnnTensorDescriptor_t dhxDesc,
+                     void *dhx,
+                     const cudnnTensorDescriptor_t dcxDesc,
+                     void *dcx,
+                     void *workSpace,
+                     size_t workSpaceSizeInBytes,
+                     void *reserveSpace,
+                     size_t reserveSpaceSizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNBackwardData_v8(cudnnHandle_t handle,
+                        cudnnRNNDescriptor_t rnnDesc,
+                        const int32_t devSeqLengths[],
+                        cudnnRNNDataDescriptor_t yDesc,
+                        const void *y,
+                        const void *dy,
+                        cudnnRNNDataDescriptor_t xDesc,
+                        void *dx,
+                        cudnnTensorDescriptor_t hDesc,
+                        const void *hx,
+                        const void *dhy,
+                        void *dhx,
+                        cudnnTensorDescriptor_t cDesc,
+                        const void *cx,
+                        const void *dcy,
+                        void *dcx,
+                        size_t weightSpaceSize,
+                        const void *weightSpace,
+                        size_t workSpaceSize,
+                        void *workSpace,
+                        size_t reserveSpaceSize,
+                        void *reserveSpace);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNBackwardWeights(cudnnHandle_t handle,
+                        const cudnnRNNDescriptor_t rnnDesc,
+                        const int seqLength,
+                        const cudnnTensorDescriptor_t *xDesc,
+                        const void *x,
+                        const cudnnTensorDescriptor_t hxDesc,
+                        const void *hx,
+                        const cudnnTensorDescriptor_t *yDesc,
+                        const void *y,
+                        const void *workSpace,
+                        size_t workSpaceSizeInBytes,
+                        const cudnnFilterDescriptor_t dwDesc,
+                        void *dw,
+                        const void *reserveSpace,
+                        size_t reserveSpaceSizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnRNNBackwardWeights_v8(cudnnHandle_t handle,
+                           cudnnRNNDescriptor_t rnnDesc,
+                           cudnnWgradMode_t addGrad,
+                           const int32_t devSeqLengths[],
+                           cudnnRNNDataDescriptor_t xDesc,
+                           const void *x,
+                           cudnnTensorDescriptor_t hDesc,
+                           const void *hx,
+                           cudnnRNNDataDescriptor_t yDesc,
+                           const void *y,
+                           size_t weightSpaceSize,
+                           void *dweightSpace,
+                           size_t workSpaceSize,
+                           void *workSpace,
+                           size_t reserveSpaceSize,
+                           void *reserveSpace);
+
+/* RNN EX API */
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNForwardTrainingEx(cudnnHandle_t handle,
+                          const cudnnRNNDescriptor_t rnnDesc,
+                          const cudnnRNNDataDescriptor_t xDesc,
+                          const void *x,
+                          const cudnnTensorDescriptor_t hxDesc,
+                          const void *hx,
+                          const cudnnTensorDescriptor_t cxDesc,
+                          const void *cx,
+                          const cudnnFilterDescriptor_t wDesc,
+                          const void *w,
+                          const cudnnRNNDataDescriptor_t yDesc,
+                          void *y,
+                          const cudnnTensorDescriptor_t hyDesc,
+                          void *hy,
+                          const cudnnTensorDescriptor_t cyDesc,
+                          void *cy,
+                          const cudnnRNNDataDescriptor_t kDesc, /* reserved, should pass NULL */
+                          const void *keys,                     /* reserved, should pass NULL */
+                          const cudnnRNNDataDescriptor_t cDesc, /* reserved, should pass NULL */
+                          void *cAttn,                          /* reserved, should pass NULL */
+                          const cudnnRNNDataDescriptor_t iDesc, /* reserved, should pass NULL */
+                          void *iAttn,                          /* reserved, should pass NULL */
+                          const cudnnRNNDataDescriptor_t qDesc, /* reserved, should pass NULL */
+                          void *queries,                        /* reserved, should pass NULL */
+                          void *workSpace,
+                          size_t workSpaceSizeInBytes,
+                          void *reserveSpace,
+                          size_t reserveSpaceSizeInBytes);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNBackwardDataEx(cudnnHandle_t handle,
+                       const cudnnRNNDescriptor_t rnnDesc,
+                       const cudnnRNNDataDescriptor_t yDesc,
+                       const void *y,
+                       const cudnnRNNDataDescriptor_t dyDesc,
+                       const void *dy,
+                       const cudnnRNNDataDescriptor_t dcDesc, /* reserved, should pass NULL */
+                       const void *dcAttn,                    /* reserved, should pass NULL */
+                       const cudnnTensorDescriptor_t dhyDesc,
+                       const void *dhy,
+                       const cudnnTensorDescriptor_t dcyDesc,
+                       const void *dcy,
+                       const cudnnFilterDescriptor_t wDesc,
+                       const void *w,
+                       const cudnnTensorDescriptor_t hxDesc,
+                       const void *hx,
+                       const cudnnTensorDescriptor_t cxDesc,
+                       const void *cx,
+                       const cudnnRNNDataDescriptor_t dxDesc,
+                       void *dx,
+                       const cudnnTensorDescriptor_t dhxDesc,
+                       void *dhx,
+                       const cudnnTensorDescriptor_t dcxDesc,
+                       void *dcx,
+                       const cudnnRNNDataDescriptor_t dkDesc, /* reserved, should pass NULL */
+                       void *dkeys,                           /* reserved, should pass NULL */
+                       void *workSpace,
+                       size_t workSpaceSizeInBytes,
+                       void *reserveSpace,
+                       size_t reserveSpaceSizeInBytes);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnRNNBackwardWeightsEx(cudnnHandle_t handle,
+                          const cudnnRNNDescriptor_t rnnDesc,
+                          const cudnnRNNDataDescriptor_t xDesc,
+                          const void *x,
+                          const cudnnTensorDescriptor_t hxDesc,
+                          const void *hx,
+                          const cudnnRNNDataDescriptor_t yDesc,
+                          const void *y,
+                          void *workSpace,
+                          size_t workSpaceSizeInBytes,
+                          const cudnnFilterDescriptor_t dwDesc,
+                          void *dw,
+                          void *reserveSpace,
+                          size_t reserveSpaceSizeInBytes);
+
+/* RNN FIND API */
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNForwardTrainingAlgorithmMaxCount(cudnnHandle_t handle, const cudnnRNNDescriptor_t rnnDesc, int *count);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnFindRNNForwardTrainingAlgorithmEx(cudnnHandle_t handle,
+                                       const cudnnRNNDescriptor_t rnnDesc,
+                                       const int seqLength,
+                                       const cudnnTensorDescriptor_t *xDesc,
+                                       const void *x,
+                                       const cudnnTensorDescriptor_t hxDesc,
+                                       const void *hx,
+                                       const cudnnTensorDescriptor_t cxDesc,
+                                       const void *cx,
+                                       const cudnnFilterDescriptor_t wDesc,
+                                       const void *w,
+                                       const cudnnTensorDescriptor_t *yDesc,
+                                       void *y,
+                                       const cudnnTensorDescriptor_t hyDesc,
+                                       void *hy,
+                                       const cudnnTensorDescriptor_t cyDesc,
+                                       void *cy,
+                                       const float findIntensity,
+                                       const int requestedAlgoCount,
+                                       int *returnedAlgoCount,
+                                       cudnnAlgorithmPerformance_t *perfResults,
+                                       void *workspace,
+                                       size_t workSpaceSizeInBytes,
+                                       void *reserveSpace,
+                                       size_t reserveSpaceSizeInBytes);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNBackwardDataAlgorithmMaxCount(cudnnHandle_t handle, const cudnnRNNDescriptor_t rnnDesc, int *count);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnFindRNNBackwardDataAlgorithmEx(cudnnHandle_t handle,
+                                    const cudnnRNNDescriptor_t rnnDesc,
+                                    const int seqLength,
+                                    const cudnnTensorDescriptor_t *yDesc,
+                                    const void *y,
+                                    const cudnnTensorDescriptor_t *dyDesc,
+                                    const void *dy,
+                                    const cudnnTensorDescriptor_t dhyDesc,
+                                    const void *dhy,
+                                    const cudnnTensorDescriptor_t dcyDesc,
+                                    const void *dcy,
+                                    const cudnnFilterDescriptor_t wDesc,
+                                    const void *w,
+                                    const cudnnTensorDescriptor_t hxDesc,
+                                    const void *hx,
+                                    const cudnnTensorDescriptor_t cxDesc,
+                                    const void *cx,
+                                    const cudnnTensorDescriptor_t *dxDesc,
+                                    void *dx,
+                                    const cudnnTensorDescriptor_t dhxDesc,
+                                    void *dhx,
+                                    const cudnnTensorDescriptor_t dcxDesc,
+                                    void *dcx,
+                                    const float findIntensity,
+                                    const int requestedAlgoCount,
+                                    int *returnedAlgoCount,
+                                    cudnnAlgorithmPerformance_t *perfResults,
+                                    void *workspace,
+                                    size_t workSpaceSizeInBytes,
+                                    void *reserveSpace,
+                                    size_t reserveSpaceSizeInBytes);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnGetRNNBackwardWeightsAlgorithmMaxCount(cudnnHandle_t handle, const cudnnRNNDescriptor_t rnnDesc, int *count);
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnFindRNNBackwardWeightsAlgorithmEx(cudnnHandle_t handle,
+                                       const cudnnRNNDescriptor_t rnnDesc,
+                                       const int seqLength,
+                                       const cudnnTensorDescriptor_t *xDesc,
+                                       const void *x,
+                                       const cudnnTensorDescriptor_t hxDesc,
+                                       const void *hx,
+                                       const cudnnTensorDescriptor_t *yDesc,
+                                       const void *y,
+                                       const float findIntensity,
+                                       const int requestedAlgoCount,
+                                       int *returnedAlgoCount,
+                                       cudnnAlgorithmPerformance_t *perfResults,
+                                       const void *workspace,
+                                       size_t workSpaceSizeInBytes,
+                                       const cudnnFilterDescriptor_t dwDesc,
+                                       void *dw,
+                                       const void *reserveSpace,
+                                       size_t reserveSpaceSizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnMultiHeadAttnBackwardData(cudnnHandle_t handle,
+                               const cudnnAttnDescriptor_t attnDesc,
+                               const int loWinIdx[],
+                               const int hiWinIdx[],
+                               const int devSeqLengthsDQDO[],
+                               const int devSeqLengthsDKDV[],
+                               const cudnnSeqDataDescriptor_t doDesc,
+                               const void *dout,
+                               const cudnnSeqDataDescriptor_t dqDesc,
+                               void *dqueries,
+                               const void *queries,
+                               const cudnnSeqDataDescriptor_t dkDesc,
+                               void *dkeys,
+                               const void *keys,
+                               const cudnnSeqDataDescriptor_t dvDesc,
+                               void *dvalues,
+                               const void *values,
+                               size_t weightSizeInBytes,
+                               const void *weights,
+                               size_t workSpaceSizeInBytes,
+                               void *workSpace,
+                               size_t reserveSpaceSizeInBytes,
+                               void *reserveSpace);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnMultiHeadAttnBackwardWeights(cudnnHandle_t handle,
+                                  const cudnnAttnDescriptor_t attnDesc,
+                                  cudnnWgradMode_t addGrad,
+                                  const cudnnSeqDataDescriptor_t qDesc,
+                                  const void *queries,
+                                  const cudnnSeqDataDescriptor_t kDesc,
+                                  const void *keys,
+                                  const cudnnSeqDataDescriptor_t vDesc,
+                                  const void *values,
+                                  const cudnnSeqDataDescriptor_t doDesc,
+                                  const void *dout,
+                                  size_t weightSizeInBytes,
+                                  const void *weights,
+                                  void *dweights,
+                                  size_t workSpaceSizeInBytes,
+                                  void *workSpace,
+                                  size_t reserveSpaceSizeInBytes,
+                                  void *reserveSpace);
+
+/*
+* CTC (Connectionist Temporal Classification) loss descriptor create/destory/set/get functions
+*/
+/* Input normalization mode for loss function */
+typedef enum {
+    CUDNN_LOSS_NORMALIZATION_NONE    = 0,
+    CUDNN_LOSS_NORMALIZATION_SOFTMAX = 1,
+} cudnnLossNormalizationMode_t;
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateCTCLossDescriptor(cudnnCTCLossDescriptor_t *ctcLossDesc);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetCTCLossDescriptor(cudnnCTCLossDescriptor_t ctcLossDesc, cudnnDataType_t compType);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetCTCLossDescriptorEx(cudnnCTCLossDescriptor_t ctcLossDesc,
+                            cudnnDataType_t compType,
+                            cudnnLossNormalizationMode_t normMode,
+                            cudnnNanPropagation_t gradMode);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetCTCLossDescriptor_v8(cudnnCTCLossDescriptor_t ctcLossDesc,
+                             cudnnDataType_t compType,
+                             cudnnLossNormalizationMode_t normMode,
+                             cudnnNanPropagation_t gradMode,
+                             int maxLabelLength);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetCTCLossDescriptor(cudnnCTCLossDescriptor_t ctcLossDesc, cudnnDataType_t *compType);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetCTCLossDescriptorEx(cudnnCTCLossDescriptor_t ctcLossDesc,
+                            cudnnDataType_t *compType,
+                            cudnnLossNormalizationMode_t *normMode,
+                            cudnnNanPropagation_t *gradMode);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetCTCLossDescriptor_v8(cudnnCTCLossDescriptor_t ctcLossDesc,
+                             cudnnDataType_t *compType,
+                             cudnnLossNormalizationMode_t *normMode,
+                             cudnnNanPropagation_t *gradMode,
+                             int *maxLabelLength);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyCTCLossDescriptor(cudnnCTCLossDescriptor_t ctcLossDesc);
+
+/* return the ctc costs and gradients, given the probabilities and labels */
+cudnnStatus_t CUDNNWINAPI
+cudnnCTCLoss(
+    cudnnHandle_t handle,
+    const cudnnTensorDescriptor_t
+        probsDesc,     /* Tensor descriptor for probabilities, the dimensions are T,N,A (T is the timing steps, N is the
+                          mini batch size, A is the alphabet size)  */
+    const void *probs, /* probabilities after softmax, in GPU memory */
+    const int hostLabels[],                      /* labels, in CPU memory */
+    const int hostLabelLengths[],                /* the length of each label, in CPU memory */
+    const int hostInputLengths[],                /* the lengths of timing steps in each batch, in CPU memory */
+    void *costs,                                 /* the returned costs of CTC, in GPU memory */
+    const cudnnTensorDescriptor_t gradientsDesc, /* Tensor descriptor for gradients, the dimensions are T,N,A */
+    void *gradients,         /* the returned CTC gradients, in GPU memory, to compute costs only, set it to NULL */
+    cudnnCTCLossAlgo_t algo, /* algorithm selected, supported now 0 and 1 */
+    cudnnCTCLossDescriptor_t ctcLossDesc,
+    void *workspace,              /* pointer to the workspace, in GPU memory */
+    size_t workSpaceSizeInBytes); /* size of the workspace */
+
+/* return the ctc costs and gradients, given the probabilities and labels */
+cudnnStatus_t CUDNNWINAPI
+cudnnCTCLoss_v8(
+    cudnnHandle_t handle,
+    cudnnCTCLossAlgo_t algo, /* algorithm selected, supported now 0 and 1 */
+    cudnnCTCLossDescriptor_t ctcLossDesc,
+    const cudnnTensorDescriptor_t
+        probsDesc,     /* Tensor descriptor for probabilities, the dimensions are T,N,A (T is the timing steps, N is the
+                          mini batch size, A is the alphabet size)  */
+    const void *probs, /* probabilities after softmax, in GPU memory */
+    const int labels[],                          /* labels, in GPU memory */
+    const int labelLengths[],                    /* the length of each label, in GPU memory */
+    const int inputLengths[],                    /* the lengths of timing steps in each batch, in GPU memory */
+    void *costs,                                 /* the returned costs of CTC, in GPU memory */
+    const cudnnTensorDescriptor_t gradientsDesc, /* Tensor descriptor for gradients, the dimensions are T,N,A */
+    void *gradients,             /* the returned CTC gradients, in GPU memory, to compute costs only, set it to NULL */
+    size_t workSpaceSizeInBytes, /* size of the workspace */
+    void *workspace);            /* pointer to the workspace, in GPU memory */
+
+/* return the workspace size needed for ctc */
+cudnnStatus_t CUDNNWINAPI
+cudnnGetCTCLossWorkspaceSize(
+    cudnnHandle_t handle,
+    const cudnnTensorDescriptor_t probsDesc, /* Tensor descriptor for probabilities, the dimensions are T,N,A (T is the
+                                                timing steps, N is the mini batch size, A is the alphabet size) */
+    const cudnnTensorDescriptor_t gradientsDesc, /* Tensor descriptor for gradients, the
+                                                    dimensions are T,N,A. To compute costs
+                                                    only, set it to NULL */
+    const int *labels,                           /* labels, in CPU memory */
+    const int *labelLengths,                     /* the length of each label, in CPU memory */
+    const int *inputLengths,                     /* the lengths of timing steps in each batch, in CPU memory */
+    cudnnCTCLossAlgo_t algo,                     /* algorithm selected, supported now 0 and 1 */
+    cudnnCTCLossDescriptor_t ctcLossDesc,
+    size_t *sizeInBytes); /* pointer to the returned workspace size */
+
+/* return the workspace size needed for ctc */
+cudnnStatus_t CUDNNWINAPI
+cudnnGetCTCLossWorkspaceSize_v8(
+    cudnnHandle_t handle,
+    cudnnCTCLossAlgo_t algo, /* algorithm selected, supported now 0 and 1 */
+    cudnnCTCLossDescriptor_t ctcLossDesc,
+    const cudnnTensorDescriptor_t probsDesc, /* Tensor descriptor for probabilities, the dimensions are T,N,A (T is the
+                                                timing steps, N is the mini batch size, A is the alphabet size) */
+    const cudnnTensorDescriptor_t gradientsDesc, /* Tensor descriptor for gradients, the
+                                                    dimensions are T,N,A. To compute costs
+                                                    only, set it to NULL */
+    size_t *sizeInBytes);                        /* pointer to the returned workspace size */
+
+/*
+ * \brief Cross-library version checker.
+ * This function is implemented differently in each sub-library. Each sublib
+ * checks whether its own version matches that of its dependencies.
+ * \returns CUDNN_STATUS_SUCCESS if the version check passes,
+ *          CUDNN_STATUS_VERSION_MISMATCH if the versions are inconsistent.
+ */
+cudnnStatus_t CUDNNWINAPI
+cudnnAdvTrainVersionCheck(void);
+
+#if defined(__cplusplus)
+}
+#endif
+
+#endif /* CUDNN_ADV_TRAIN_H_ */

pllava/lib/python3.10/site-packages/nvidia/cudnn/include/cudnn_backend_v9.h

@@ -0,0 +1,60 @@
+/*
+ * Copyright 2014-2023 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+#ifndef _CUDNN_BACKEND_H_
+#define _CUDNN_BACKEND_H_
+
+/*
+ * The content of this header has been moved into cudnn_graph.h.
+ * This header is kept for the backward compatibility purpose.
+ */
+
+#include "cudnn_graph.h"
+
+#endif /* _CUDNN_BACKEND_H_ */

pllava/lib/python3.10/site-packages/nvidia/cudnn/include/cudnn_cnn_train.h

@@ -0,0 +1,219 @@
+/*
+ * Copyright 2017-2022 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+/*
+ *  cudnn_cnn_train : cuDNN's basic definitions and inference CNN functions.
+ */
+
+#pragma once
+#include <cuda_runtime.h>
+#include <stdint.h>
+
+#include "cudnn_version.h"
+#include "cudnn_ops_infer.h"
+#include "cudnn_ops_train.h"
+#include "cudnn_cnn_infer.h"
+
+/* These version numbers are autogenerated, do not edit manually. */
+#define CUDNN_CNN_TRAIN_MAJOR 8
+#define CUDNN_CNN_TRAIN_MINOR 7
+#define CUDNN_CNN_TRAIN_PATCH 0
+
+#if (CUDNN_CNN_TRAIN_MAJOR != CUDNN_MAJOR) || (CUDNN_CNN_TRAIN_MINOR != CUDNN_MINOR) || \
+    (CUDNN_CNN_TRAIN_PATCH != CUDNN_PATCHLEVEL)
+#error Version mismatch in cuDNN CNN INFER!!!
+#endif
+
+#if defined(__cplusplus)
+extern "C" {
+#endif
+
+/* helper function to provide the convolution backward filter algo that fit best the requirement */
+
+typedef struct cudnnConvolutionBwdFilterAlgoPerfStruct {
+    cudnnConvolutionBwdFilterAlgo_t algo;
+    cudnnStatus_t status;
+    float time;
+    size_t memory;
+    cudnnDeterminism_t determinism;
+    cudnnMathType_t mathType;
+    int reserved[3];
+} cudnnConvolutionBwdFilterAlgoPerf_t;
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetConvolutionBackwardFilterAlgorithmMaxCount(cudnnHandle_t handle, int *count);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnFindConvolutionBackwardFilterAlgorithm(cudnnHandle_t handle,
+                                            const cudnnTensorDescriptor_t xDesc,
+                                            const cudnnTensorDescriptor_t dyDesc,
+                                            const cudnnConvolutionDescriptor_t convDesc,
+                                            const cudnnFilterDescriptor_t dwDesc,
+                                            const int requestedAlgoCount,
+                                            int *returnedAlgoCount,
+                                            cudnnConvolutionBwdFilterAlgoPerf_t *perfResults);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnFindConvolutionBackwardFilterAlgorithmEx(cudnnHandle_t handle,
+                                              const cudnnTensorDescriptor_t xDesc,
+                                              const void *x,
+                                              const cudnnTensorDescriptor_t dyDesc,
+                                              const void *y,
+                                              const cudnnConvolutionDescriptor_t convDesc,
+                                              const cudnnFilterDescriptor_t dwDesc,
+                                              void *dw,
+                                              const int requestedAlgoCount,
+                                              int *returnedAlgoCount,
+                                              cudnnConvolutionBwdFilterAlgoPerf_t *perfResults,
+                                              void *workSpace,
+                                              size_t workSpaceSizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetConvolutionBackwardFilterAlgorithm_v7(cudnnHandle_t handle,
+                                              const cudnnTensorDescriptor_t srcDesc,
+                                              const cudnnTensorDescriptor_t diffDesc,
+                                              const cudnnConvolutionDescriptor_t convDesc,
+                                              const cudnnFilterDescriptor_t gradDesc,
+                                              const int requestedAlgoCount,
+                                              int *returnedAlgoCount,
+                                              cudnnConvolutionBwdFilterAlgoPerf_t *perfResults);
+
+/*
+ *  convolution algorithm (which requires potentially some workspace)
+ */
+
+/* Helper function to return the minimum size of the workspace to be passed to the convolution given an algo*/
+cudnnStatus_t CUDNNWINAPI
+cudnnGetConvolutionBackwardFilterWorkspaceSize(cudnnHandle_t handle,
+                                               const cudnnTensorDescriptor_t xDesc,
+                                               const cudnnTensorDescriptor_t dyDesc,
+                                               const cudnnConvolutionDescriptor_t convDesc,
+                                               const cudnnFilterDescriptor_t gradDesc,
+                                               cudnnConvolutionBwdFilterAlgo_t algo,
+                                               size_t *sizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnConvolutionBackwardFilter(cudnnHandle_t handle,
+                               const void *alpha,
+                               const cudnnTensorDescriptor_t xDesc,
+                               const void *x,
+                               const cudnnTensorDescriptor_t dyDesc,
+                               const void *dy,
+                               const cudnnConvolutionDescriptor_t convDesc,
+                               cudnnConvolutionBwdFilterAlgo_t algo,
+                               void *workSpace,
+                               size_t workSpaceSizeInBytes,
+                               const void *beta,
+                               const cudnnFilterDescriptor_t dwDesc,
+                               void *dw);
+
+/* Function to compute the bias gradient for batch convolution */
+cudnnStatus_t CUDNNWINAPI
+cudnnConvolutionBackwardBias(cudnnHandle_t handle,
+                             const void *alpha,
+                             const cudnnTensorDescriptor_t dyDesc,
+                             const void *dy,
+                             const void *beta,
+                             const cudnnTensorDescriptor_t dbDesc,
+                             void *db);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateFusedOpsConstParamPack(cudnnFusedOpsConstParamPack_t *constPack, cudnnFusedOps_t ops);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyFusedOpsConstParamPack(cudnnFusedOpsConstParamPack_t constPack);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetFusedOpsConstParamPackAttribute(cudnnFusedOpsConstParamPack_t constPack,
+                                        cudnnFusedOpsConstParamLabel_t paramLabel,
+                                        const void *param);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetFusedOpsConstParamPackAttribute(const cudnnFusedOpsConstParamPack_t constPack,
+                                        cudnnFusedOpsConstParamLabel_t paramLabel,
+                                        void *param,
+                                        int *isNULL);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateFusedOpsVariantParamPack(cudnnFusedOpsVariantParamPack_t *varPack, cudnnFusedOps_t ops);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyFusedOpsVariantParamPack(cudnnFusedOpsVariantParamPack_t varPack);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetFusedOpsVariantParamPackAttribute(cudnnFusedOpsVariantParamPack_t varPack,
+                                          cudnnFusedOpsVariantParamLabel_t paramLabel,
+                                          void *ptr);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetFusedOpsVariantParamPackAttribute(const cudnnFusedOpsVariantParamPack_t varPack,
+                                          cudnnFusedOpsVariantParamLabel_t paramLabel,
+                                          void *ptr);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreateFusedOpsPlan(cudnnFusedOpsPlan_t *plan, cudnnFusedOps_t ops);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroyFusedOpsPlan(cudnnFusedOpsPlan_t plan);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnMakeFusedOpsPlan(cudnnHandle_t handle,
+                      cudnnFusedOpsPlan_t plan,
+                      const cudnnFusedOpsConstParamPack_t constPack,
+                      size_t *workspaceSizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnFusedOpsExecute(cudnnHandle_t handle, const cudnnFusedOpsPlan_t plan, cudnnFusedOpsVariantParamPack_t varPack);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCnnTrainVersionCheck(void);
+
+#if defined(__cplusplus)
+}
+#endif

pllava/lib/python3.10/site-packages/nvidia/cudnn/include/cudnn_graph.h

@@ -0,0 +1,909 @@
+/*
+ * Copyright 2014-2023 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+/*
+ *  cudnn_graph : cuDNN's basic definitions operations.
+ */
+
+#if !defined(CUDNN_GRAPH_H_)
+#define CUDNN_GRAPH_H_
+
+#include <cuda_runtime_api.h>
+#include <library_types.h>
+
+#include <stdint.h>
+
+#include "cudnn_version.h"
+
+/* These version numbers are autogenerated, do not edit manually. */
+#define CUDNN_GRAPH_MAJOR 9
+#define CUDNN_GRAPH_MINOR 1
+#define CUDNN_GRAPH_PATCH 0
+
+#if (CUDNN_GRAPH_MAJOR != CUDNN_MAJOR) || (CUDNN_GRAPH_MINOR != CUDNN_MINOR) || (CUDNN_GRAPH_PATCH != CUDNN_PATCHLEVEL)
+#error Version mismatch in cuDNN GRAPH!!!
+#endif
+
+#ifndef CUDNNWINAPI
+#ifdef _WIN32
+#define CUDNNWINAPI __stdcall
+#else
+#define CUDNNWINAPI
+#endif
+#endif
+
+/* Warnings for deprecated API-s are enabled using the CUDNN_WARN_DEPRECATED macro */
+#if defined(CUDNN_WARN_DEPRECATED) && (defined(__GNUC__) || defined(__clang__))
+/* GCC, Intel C/C++, Cray C/C++, CLANG, IBM XL C/C++ little endian */
+#define CUDNN_DEPRECATED __attribute__((deprecated))
+#define CUDNN_DEPRECATED_ENUM __attribute__((deprecated))
+#elif defined(CUDNN_WARN_DEPRECATED) && defined(_MSC_VER)
+/* Microsoft Visual C++ */
+#define CUDNN_DEPRECATED __declspec(deprecated)
+#define CUDNN_DEPRECATED_ENUM __declspec(deprecated)
+#elif defined(CUDNN_WARN_DEPRECATED) && (__cplusplus >= 201402L)
+/* C++14 compilers */
+#define CUDNN_DEPRECATED [[deprecated]]
+#define CUDNN_DEPRECATED_ENUM [[deprecated]]
+#else
+/* No support for the deprecated attribute */
+#define CUDNN_DEPRECATED
+#define CUDNN_DEPRECATED_ENUM
+#endif
+
+#if defined(__cplusplus)
+extern "C" {
+#endif
+
+struct cudnnContext;
+typedef struct cudnnContext *cudnnHandle_t;
+
+size_t CUDNNWINAPI
+cudnnGetVersion(void);
+
+size_t CUDNNWINAPI
+cudnnGetMaxDeviceVersion(void);
+
+/* Returns CUDA Runtime version statically linked against cudnn */
+size_t CUDNNWINAPI
+cudnnGetCudartVersion(void);
+
+/*
+ * CUDNN return codes
+ */
+typedef enum {
+    CUDNN_STATUS_SUCCESS = 0,
+
+    /* Uncategorized errors */
+    CUDNN_STATUS_NOT_INITIALIZED                = 1001,
+    CUDNN_STATUS_SUBLIBRARY_VERSION_MISMATCH    = 1002,
+    CUDNN_STATUS_SERIALIZATION_VERSION_MISMATCH = 1003,
+    CUDNN_STATUS_DEPRECATED                     = 1004,
+    CUDNN_STATUS_LICENSE_ERROR                  = 1005,
+    CUDNN_STATUS_RUNTIME_IN_PROGRESS            = 1006,
+    CUDNN_STATUS_RUNTIME_FP_OVERFLOW            = 1007,
+
+    CUDNN_STATUS_BAD_PARAM                    = 2000,
+    CUDNN_STATUS_BAD_PARAM_NULL_POINTER       = 2002,
+    CUDNN_STATUS_BAD_PARAM_MISALIGNED_POINTER = 2003,
+    CUDNN_STATUS_BAD_PARAM_NOT_FINALIZED      = 2004,
+    CUDNN_STATUS_BAD_PARAM_OUT_OF_BOUND       = 2005,
+    CUDNN_STATUS_BAD_PARAM_SIZE_INSUFFICIENT  = 2006,
+    CUDNN_STATUS_BAD_PARAM_STREAM_MISMATCH    = 2007,
+    CUDNN_STATUS_BAD_PARAM_SHAPE_MISMATCH     = 2008,
+    CUDNN_STATUS_BAD_PARAM_DUPLICATED_ENTRIES = 2009,
+    CUDNN_STATUS_BAD_PARAM_ATTRIBUTE_TYPE     = 2010,
+
+    CUDNN_STATUS_NOT_SUPPORTED                              = 3000,
+    CUDNN_STATUS_NOT_SUPPORTED_GRAPH_PATTERN                = 3001,
+    CUDNN_STATUS_NOT_SUPPORTED_SHAPE                        = 3002,
+    CUDNN_STATUS_NOT_SUPPORTED_DATA_TYPE                    = 3003,
+    CUDNN_STATUS_NOT_SUPPORTED_LAYOUT                       = 3004,
+    CUDNN_STATUS_NOT_SUPPORTED_INCOMPATIBLE_CUDA_DRIVER     = 3005,
+    CUDNN_STATUS_NOT_SUPPORTED_INCOMPATIBLE_CUDART          = 3006,
+    CUDNN_STATUS_NOT_SUPPORTED_ARCH_MISMATCH                = 3007,
+    CUDNN_STATUS_NOT_SUPPORTED_RUNTIME_PREREQUISITE_MISSING = 3008,
+    CUDNN_STATUS_NOT_SUPPORTED_SUBLIBRARY_UNAVAILABLE       = 3009,
+    CUDNN_STATUS_NOT_SUPPORTED_SHARED_MEMORY_INSUFFICIENT   = 3010,
+    CUDNN_STATUS_NOT_SUPPORTED_PADDING                      = 3011,
+    CUDNN_STATUS_NOT_SUPPORTED_BAD_LAUNCH_PARAM             = 3012,
+
+    CUDNN_STATUS_INTERNAL_ERROR                          = 4000,
+    CUDNN_STATUS_INTERNAL_ERROR_COMPILATION_FAILED       = 4001,
+    CUDNN_STATUS_INTERNAL_ERROR_UNEXPECTED_VALUE         = 4002,
+    CUDNN_STATUS_INTERNAL_ERROR_HOST_ALLOCATION_FAILED   = 4003,
+    CUDNN_STATUS_INTERNAL_ERROR_DEVICE_ALLOCATION_FAILED = 4004,
+    CUDNN_STATUS_INTERNAL_ERROR_BAD_LAUNCH_PARAM         = 4005,
+    CUDNN_STATUS_INTERNAL_ERROR_TEXTURE_CREATION_FAILED  = 4006,
+
+    CUDNN_STATUS_EXECUTION_FAILED             = 5000,
+    CUDNN_STATUS_EXECUTION_FAILED_CUDA_DRIVER = 5001,
+    CUDNN_STATUS_EXECUTION_FAILED_CUBLAS      = 5002,
+    CUDNN_STATUS_EXECUTION_FAILED_CUDART      = 5003,
+    CUDNN_STATUS_EXECUTION_FAILED_CURAND      = 5004,
+
+    CUDNN_STATUS_ALLOC_FAILED CUDNN_DEPRECATED_ENUM  = CUDNN_STATUS_INTERNAL_ERROR_HOST_ALLOCATION_FAILED,
+    CUDNN_STATUS_INVALID_VALUE CUDNN_DEPRECATED_ENUM = 2001 /* please transition to CUDNN_STATUS_BAD_PARAM instead */,
+    CUDNN_STATUS_ARCH_MISMATCH CUDNN_DEPRECATED_ENUM = CUDNN_STATUS_NOT_SUPPORTED_ARCH_MISMATCH,
+    CUDNN_STATUS_MAPPING_ERROR CUDNN_DEPRECATED_ENUM = CUDNN_STATUS_INTERNAL_ERROR_TEXTURE_CREATION_FAILED,
+    CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING CUDNN_DEPRECATED_ENUM =
+        CUDNN_STATUS_NOT_SUPPORTED_RUNTIME_PREREQUISITE_MISSING,
+    CUDNN_STATUS_VERSION_MISMATCH CUDNN_DEPRECATED_ENUM = CUDNN_STATUS_SUBLIBRARY_VERSION_MISMATCH,
+} cudnnStatus_t;
+
+#define CUDNN_STATUS_FULL_ERROR_CODE(category, specific_err) ((cudnnStatus_t)(0 + (category) + (specific_err)))
+#define CUDNN_STATUS_CATEGORY(full_error_code) ((full_error_code) / 1000 * 1000)
+#define CUDNN_STATUS_SPECIFIC_ERROR(full_error_code) ((full_error_code) % 1000)
+
+/* human-readable error messages */
+const char *CUDNNWINAPI
+cudnnGetErrorString(cudnnStatus_t status);
+
+void CUDNNWINAPI
+cudnnGetLastErrorString(char *message, size_t max_size);
+
+/* Forward definition in this version only */
+typedef struct cudnnRuntimeTag_t cudnnRuntimeTag_t CUDNN_DEPRECATED;
+
+typedef enum {
+    CUDNN_ERRQUERY_RAWCODE     = 0,
+    CUDNN_ERRQUERY_NONBLOCKING = 1,
+    CUDNN_ERRQUERY_BLOCKING    = 2,
+} cudnnErrQueryMode_t;
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnQueryRuntimeError(cudnnHandle_t handle, cudnnStatus_t *rstatus, cudnnErrQueryMode_t mode, cudnnRuntimeTag_t *tag);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetProperty(libraryPropertyType type, int *value);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreate(cudnnHandle_t *handle);
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroy(cudnnHandle_t handle);
+cudnnStatus_t CUDNNWINAPI
+cudnnSetStream(cudnnHandle_t handle, cudaStream_t streamId);
+cudnnStatus_t CUDNNWINAPI
+cudnnGetStream(cudnnHandle_t handle, cudaStream_t *streamId);
+/*
+ * CUDNN data type
+ */
+typedef enum {
+    CUDNN_DATA_FLOAT                         = 0,
+    CUDNN_DATA_DOUBLE                        = 1,
+    CUDNN_DATA_HALF                          = 2,
+    CUDNN_DATA_INT8                          = 3,
+    CUDNN_DATA_INT32                         = 4,
+    CUDNN_DATA_INT8x4 CUDNN_DEPRECATED_ENUM  = 5,
+    CUDNN_DATA_UINT8                         = 6,
+    CUDNN_DATA_UINT8x4 CUDNN_DEPRECATED_ENUM = 7,
+    CUDNN_DATA_INT8x32 CUDNN_DEPRECATED_ENUM = 8,
+    CUDNN_DATA_BFLOAT16                      = 9,
+    CUDNN_DATA_INT64                         = 10,
+    CUDNN_DATA_BOOLEAN                       = 11,
+    CUDNN_DATA_FP8_E4M3                      = 12,
+    CUDNN_DATA_FP8_E5M2                      = 13,
+    CUDNN_DATA_FAST_FLOAT_FOR_FP8            = 14,
+} cudnnDataType_t;
+
+/*
+ * CUDNN math type
+ */
+typedef enum {
+    CUDNN_DEFAULT_MATH                    = 0,
+    CUDNN_TENSOR_OP_MATH                  = 1,
+    CUDNN_TENSOR_OP_MATH_ALLOW_CONVERSION = 2,
+    CUDNN_FMA_MATH                        = 3,
+} cudnnMathType_t;
+
+/*
+ * CUDNN propagate Nan
+ */
+typedef enum {
+    CUDNN_NOT_PROPAGATE_NAN CUDNN_DEPRECATED_ENUM = 0,
+    CUDNN_PROPAGATE_NAN CUDNN_DEPRECATED_ENUM     = 1,
+} cudnnNanPropagation_t;
+
+/*
+ * Behavior for OOB samples. OOB samples are samples where L+R > T is encountered during the gradient calculation. If
+ * gradMode is set to CUDNN_CTC_SKIP_OOB_GRADIENTS, then the CTC loss function does not write to the gradient buffer for
+ * that sample. Instead, the current values, even not finite, are retained. If gradMode is set to
+ * CUDNN_CTC_ZERO_OOB_GRADIENTS, then the gradient for that sample is set to zero. This guarantees a finite gradient.
+*/
+typedef enum {
+    CUDNN_CTC_ZERO_OOB_GRADIENTS = 0,
+    CUDNN_CTC_SKIP_OOB_GRADIENTS = 1,
+} cudnnCTCGradMode_t;
+
+typedef enum {
+    CUDNN_TENSOR_NCHW        = 0, /* row major (wStride = 1, hStride = w) */
+    CUDNN_TENSOR_NHWC        = 1, /* feature maps interleaved ( cStride = 1 )*/
+    CUDNN_TENSOR_NCHW_VECT_C = 2, /* each image point is vector of element of C, vector length in data type */
+} cudnnTensorFormat_t;
+
+/*
+ * CUDNN ReduceTensor op type
+ */
+typedef enum {
+    CUDNN_REDUCE_TENSOR_ADD          = 0,
+    CUDNN_REDUCE_TENSOR_MUL          = 1,
+    CUDNN_REDUCE_TENSOR_MIN          = 2,
+    CUDNN_REDUCE_TENSOR_MAX          = 3,
+    CUDNN_REDUCE_TENSOR_AMAX         = 4,
+    CUDNN_REDUCE_TENSOR_AVG          = 5,
+    CUDNN_REDUCE_TENSOR_NORM1        = 6,
+    CUDNN_REDUCE_TENSOR_NORM2        = 7,
+    CUDNN_REDUCE_TENSOR_MUL_NO_ZEROS = 8,
+} cudnnReduceTensorOp_t;
+
+/*
+ * activation mode
+ */
+typedef enum {
+    CUDNN_ACTIVATION_SIGMOID      = 0,
+    CUDNN_ACTIVATION_RELU         = 1,
+    CUDNN_ACTIVATION_TANH         = 2,
+    CUDNN_ACTIVATION_CLIPPED_RELU = 3,
+    CUDNN_ACTIVATION_ELU          = 4,
+    CUDNN_ACTIVATION_IDENTITY     = 5,
+    CUDNN_ACTIVATION_SWISH        = 6
+} cudnnActivationMode_t CUDNN_DEPRECATED;
+
+typedef enum {
+    CUDNN_SEV_FATAL   = 0,
+    CUDNN_SEV_ERROR   = 1,
+    CUDNN_SEV_WARNING = 2,
+    CUDNN_SEV_INFO    = 3,
+} cudnnSeverity_t;
+
+/* Message masks to be used with cudnnSetCallback() */
+#define CUDNN_SEV_ERROR_EN (1U << CUDNN_SEV_ERROR)
+#define CUDNN_SEV_WARNING_EN (1U << CUDNN_SEV_WARNING)
+#define CUDNN_SEV_INFO_EN (1U << CUDNN_SEV_INFO)
+
+/* struct containing useful informaiton for each API call */
+typedef struct cudnnDebugStruct {
+    unsigned cudnn_version;
+    cudnnStatus_t cudnnStatus;
+    unsigned time_sec;      /* epoch time in seconds */
+    unsigned time_usec;     /* microseconds part of epoch time */
+    unsigned time_delta;    /* time since start in seconds */
+    cudnnHandle_t handle;   /* cudnn handle */
+    cudaStream_t stream;    /* cuda stream ID */
+    unsigned long long pid; /* process ID */
+    unsigned long long tid; /* thread ID */
+    int cudaDeviceId;       /* CUDA device ID */
+    int reserved[15];       /* reserved for future use */
+} cudnnDebug_t;
+
+typedef void (*cudnnCallback_t)(cudnnSeverity_t sev, void *udata, const cudnnDebug_t *dbg, const char *msg);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetCallback(unsigned mask, void *udata, cudnnCallback_t fptr);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetCallback(unsigned *mask, void **udata, cudnnCallback_t *fptr);
+
+/*
+ * \brief Cross-library version checker.
+ * This function is implemented differently in each sub-library. Each sublib
+ * checks whether its own version matches that of its dependencies.
+ * \returns CUDNN_STATUS_SUCCESS if the version check passes,
+ *          CUDNN_STATUS_SUBLIBRARY_VERSION_MISMATCH if the versions are inconsistent.
+ */
+cudnnStatus_t CUDNNWINAPI
+cudnnGraphVersionCheck(void);
+
+/* Maximum supported number of tensor dimensions */
+#define CUDNN_DIM_MAX 8
+
+/*
+ *  convolution mode
+ */
+typedef enum { CUDNN_CONVOLUTION = 0, CUDNN_CROSS_CORRELATION = 1 } cudnnConvolutionMode_t;
+
+/*
+ * CUDNN Reorder
+ */
+typedef enum {
+    CUDNN_DEFAULT_REORDER = 0,
+    CUDNN_NO_REORDER      = 1,
+} cudnnReorderType_t CUDNN_DEPRECATED;
+
+typedef void *cudnnBackendDescriptor_t;
+
+typedef struct cudnnFractionStruct {
+    int64_t numerator;
+    int64_t denominator;
+} cudnnFraction_t;
+
+typedef enum {
+    CUDNN_POINTWISE_ADD        = 0,
+    CUDNN_POINTWISE_ADD_SQUARE = 5,
+    CUDNN_POINTWISE_DIV        = 6,
+    CUDNN_POINTWISE_MAX        = 3,
+    CUDNN_POINTWISE_MIN        = 2,
+    CUDNN_POINTWISE_MOD        = 7,
+    CUDNN_POINTWISE_MUL        = 1,
+    CUDNN_POINTWISE_POW        = 8,
+    CUDNN_POINTWISE_SUB        = 9,
+
+    CUDNN_POINTWISE_ABS        = 10,
+    CUDNN_POINTWISE_CEIL       = 11,
+    CUDNN_POINTWISE_COS        = 12,
+    CUDNN_POINTWISE_EXP        = 13,
+    CUDNN_POINTWISE_FLOOR      = 14,
+    CUDNN_POINTWISE_LOG        = 15,
+    CUDNN_POINTWISE_NEG        = 16,
+    CUDNN_POINTWISE_RSQRT      = 17,
+    CUDNN_POINTWISE_SIN        = 18,
+    CUDNN_POINTWISE_SQRT       = 4,
+    CUDNN_POINTWISE_TAN        = 19,
+    CUDNN_POINTWISE_ERF        = 20,
+    CUDNN_POINTWISE_IDENTITY   = 21,
+    CUDNN_POINTWISE_RECIPROCAL = 22,
+    CUDNN_POINTWISE_ATAN2      = 23,
+
+    CUDNN_POINTWISE_RELU_FWD             = 100,
+    CUDNN_POINTWISE_TANH_FWD             = 101,
+    CUDNN_POINTWISE_SIGMOID_FWD          = 102,
+    CUDNN_POINTWISE_ELU_FWD              = 103,
+    CUDNN_POINTWISE_GELU_FWD             = 104,
+    CUDNN_POINTWISE_SOFTPLUS_FWD         = 105,
+    CUDNN_POINTWISE_SWISH_FWD            = 106,
+    CUDNN_POINTWISE_GELU_APPROX_TANH_FWD = 107,
+
+    CUDNN_POINTWISE_RELU_BWD             = 200,
+    CUDNN_POINTWISE_TANH_BWD             = 201,
+    CUDNN_POINTWISE_SIGMOID_BWD          = 202,
+    CUDNN_POINTWISE_ELU_BWD              = 203,
+    CUDNN_POINTWISE_GELU_BWD             = 204,
+    CUDNN_POINTWISE_SOFTPLUS_BWD         = 205,
+    CUDNN_POINTWISE_SWISH_BWD            = 206,
+    CUDNN_POINTWISE_GELU_APPROX_TANH_BWD = 207,
+
+    CUDNN_POINTWISE_CMP_EQ  = 300,
+    CUDNN_POINTWISE_CMP_NEQ = 301,
+    CUDNN_POINTWISE_CMP_GT  = 302,
+    CUDNN_POINTWISE_CMP_GE  = 303,
+    CUDNN_POINTWISE_CMP_LT  = 304,
+    CUDNN_POINTWISE_CMP_LE  = 305,
+
+    CUDNN_POINTWISE_LOGICAL_AND = 400,
+    CUDNN_POINTWISE_LOGICAL_OR  = 401,
+    CUDNN_POINTWISE_LOGICAL_NOT = 402,
+
+    CUDNN_POINTWISE_GEN_INDEX = 501,
+
+    CUDNN_POINTWISE_BINARY_SELECT = 601,
+} cudnnPointwiseMode_t;
+
+typedef enum {
+    CUDNN_RESAMPLE_NEAREST                 = 0,
+    CUDNN_RESAMPLE_BILINEAR                = 1,
+    CUDNN_RESAMPLE_AVGPOOL                 = 2,
+    CUDNN_RESAMPLE_AVGPOOL_INCLUDE_PADDING = 2,
+    CUDNN_RESAMPLE_AVGPOOL_EXCLUDE_PADDING = 4,
+    CUDNN_RESAMPLE_MAXPOOL                 = 3,
+} cudnnResampleMode_t;
+
+typedef enum {
+    CUDNN_SIGNAL_SET  = 0,
+    CUDNN_SIGNAL_WAIT = 1,
+} cudnnSignalMode_t;
+
+typedef enum {
+    CUDNN_GENSTATS_SUM_SQSUM = 0,
+} cudnnGenStatsMode_t;
+
+typedef enum {
+    CUDNN_BN_FINALIZE_STATISTICS_TRAINING  = 0,
+    CUDNN_BN_FINALIZE_STATISTICS_INFERENCE = 1,
+} cudnnBnFinalizeStatsMode_t;
+
+typedef enum {
+    CUDNN_RNG_DISTRIBUTION_BERNOULLI,
+    CUDNN_RNG_DISTRIBUTION_UNIFORM,
+    CUDNN_RNG_DISTRIBUTION_NORMAL,
+} cudnnRngDistribution_t;
+
+typedef enum {
+    CUDNN_ATTR_POINTWISE_MODE                                  = 0,
+    CUDNN_ATTR_POINTWISE_MATH_PREC                             = 1,
+    CUDNN_ATTR_POINTWISE_NAN_PROPAGATION CUDNN_DEPRECATED_ENUM = 2,
+    CUDNN_ATTR_POINTWISE_RELU_LOWER_CLIP                       = 3,
+    CUDNN_ATTR_POINTWISE_RELU_UPPER_CLIP                       = 4,
+    CUDNN_ATTR_POINTWISE_RELU_LOWER_CLIP_SLOPE                 = 5,
+    CUDNN_ATTR_POINTWISE_ELU_ALPHA                             = 6,
+    CUDNN_ATTR_POINTWISE_SOFTPLUS_BETA                         = 7,
+    CUDNN_ATTR_POINTWISE_SWISH_BETA                            = 8,
+    CUDNN_ATTR_POINTWISE_AXIS                                  = 9,
+
+    CUDNN_ATTR_CONVOLUTION_COMP_TYPE      = 100,
+    CUDNN_ATTR_CONVOLUTION_CONV_MODE      = 101,
+    CUDNN_ATTR_CONVOLUTION_DILATIONS      = 102,
+    CUDNN_ATTR_CONVOLUTION_FILTER_STRIDES = 103,
+    CUDNN_ATTR_CONVOLUTION_POST_PADDINGS  = 104,
+    CUDNN_ATTR_CONVOLUTION_PRE_PADDINGS   = 105,
+    CUDNN_ATTR_CONVOLUTION_SPATIAL_DIMS   = 106,
+
+    CUDNN_ATTR_ENGINEHEUR_MODE            = 200,
+    CUDNN_ATTR_ENGINEHEUR_OPERATION_GRAPH = 201,
+    CUDNN_ATTR_ENGINEHEUR_RESULTS         = 202,
+    CUDNN_ATTR_ENGINEHEUR_SM_COUNT_TARGET = 203,
+
+    CUDNN_ATTR_ENGINECFG_ENGINE            = 300,
+    CUDNN_ATTR_ENGINECFG_INTERMEDIATE_INFO = 301,
+    CUDNN_ATTR_ENGINECFG_KNOB_CHOICES      = 302,
+
+    CUDNN_ATTR_EXECUTION_PLAN_HANDLE                     = 400,
+    CUDNN_ATTR_EXECUTION_PLAN_ENGINE_CONFIG              = 401,
+    CUDNN_ATTR_EXECUTION_PLAN_WORKSPACE_SIZE             = 402,
+    CUDNN_ATTR_EXECUTION_PLAN_COMPUTED_INTERMEDIATE_UIDS = 403,
+    CUDNN_ATTR_EXECUTION_PLAN_RUN_ONLY_INTERMEDIATE_UIDS = 404,
+    CUDNN_ATTR_EXECUTION_PLAN_JSON_REPRESENTATION        = 405,
+
+    CUDNN_ATTR_INTERMEDIATE_INFO_UNIQUE_ID            = 500,
+    CUDNN_ATTR_INTERMEDIATE_INFO_SIZE                 = 501,
+    CUDNN_ATTR_INTERMEDIATE_INFO_DEPENDENT_DATA_UIDS  = 502,
+    CUDNN_ATTR_INTERMEDIATE_INFO_DEPENDENT_ATTRIBUTES = 503,
+
+    CUDNN_ATTR_KNOB_CHOICE_KNOB_TYPE  = 600,
+    CUDNN_ATTR_KNOB_CHOICE_KNOB_VALUE = 601,
+
+    CUDNN_ATTR_OPERATION_CONVOLUTION_FORWARD_ALPHA        = 700,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_FORWARD_BETA         = 701,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_FORWARD_CONV_DESC    = 702,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_FORWARD_W            = 703,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_FORWARD_X            = 704,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_FORWARD_Y            = 705,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_ALPHA       = 706,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_BETA        = 707,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_CONV_DESC   = 708,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_W           = 709,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_DX          = 710,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_DY          = 711,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_ALPHA     = 712,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_BETA      = 713,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_CONV_DESC = 714,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_DW        = 715,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_X         = 716,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_DY        = 717,
+
+    CUDNN_ATTR_OPERATION_POINTWISE_PW_DESCRIPTOR = 750,
+    CUDNN_ATTR_OPERATION_POINTWISE_XDESC         = 751,
+    CUDNN_ATTR_OPERATION_POINTWISE_BDESC         = 752,
+    CUDNN_ATTR_OPERATION_POINTWISE_YDESC         = 753,
+    CUDNN_ATTR_OPERATION_POINTWISE_ALPHA1        = 754,
+    CUDNN_ATTR_OPERATION_POINTWISE_ALPHA2        = 755,
+    CUDNN_ATTR_OPERATION_POINTWISE_DXDESC        = 756,
+    CUDNN_ATTR_OPERATION_POINTWISE_DYDESC        = 757,
+    CUDNN_ATTR_OPERATION_POINTWISE_TDESC         = 758,
+
+    CUDNN_ATTR_OPERATION_GENSTATS_MODE      = 770,
+    CUDNN_ATTR_OPERATION_GENSTATS_MATH_PREC = 771,
+    CUDNN_ATTR_OPERATION_GENSTATS_XDESC     = 772,
+    CUDNN_ATTR_OPERATION_GENSTATS_SUMDESC   = 773,
+    CUDNN_ATTR_OPERATION_GENSTATS_SQSUMDESC = 774,
+
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_STATS_MODE                = 780,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_MATH_PREC                 = 781,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_Y_SUM_DESC                = 782,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_Y_SQ_SUM_DESC             = 783,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_SCALE_DESC                = 784,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_BIAS_DESC                 = 785,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_PREV_RUNNING_MEAN_DESC    = 786,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_PREV_RUNNING_VAR_DESC     = 787,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_UPDATED_RUNNING_MEAN_DESC = 788,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_UPDATED_RUNNING_VAR_DESC  = 789,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_SAVED_MEAN_DESC           = 790,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_SAVED_INV_STD_DESC        = 791,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_EQ_SCALE_DESC             = 792,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_EQ_BIAS_DESC              = 793,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_ACCUM_COUNT_DESC          = 794,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_EPSILON_DESC              = 795,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_EXP_AVERATE_FACTOR_DESC   = 796,
+
+    CUDNN_ATTR_OPERATIONGRAPH_HANDLE              = 800,
+    CUDNN_ATTR_OPERATIONGRAPH_OPS                 = 801,
+    CUDNN_ATTR_OPERATIONGRAPH_ENGINE_GLOBAL_COUNT = 802,
+
+    CUDNN_ATTR_TENSOR_BYTE_ALIGNMENT       = 900,
+    CUDNN_ATTR_TENSOR_DATA_TYPE            = 901,
+    CUDNN_ATTR_TENSOR_DIMENSIONS           = 902,
+    CUDNN_ATTR_TENSOR_STRIDES              = 903,
+    CUDNN_ATTR_TENSOR_VECTOR_COUNT         = 904,
+    CUDNN_ATTR_TENSOR_VECTORIZED_DIMENSION = 905,
+    CUDNN_ATTR_TENSOR_UNIQUE_ID            = 906,
+    CUDNN_ATTR_TENSOR_IS_VIRTUAL           = 907,
+    CUDNN_ATTR_TENSOR_IS_BY_VALUE          = 908,
+    CUDNN_ATTR_TENSOR_REORDERING_MODE      = 909,
+    CUDNN_ATTR_TENSOR_RAGGED_OFFSET_DESC   = 913,
+
+    CUDNN_ATTR_VARIANT_PACK_UNIQUE_IDS    = 1000,
+    CUDNN_ATTR_VARIANT_PACK_DATA_POINTERS = 1001,
+    CUDNN_ATTR_VARIANT_PACK_INTERMEDIATES = 1002,
+    CUDNN_ATTR_VARIANT_PACK_WORKSPACE     = 1003,
+
+    CUDNN_ATTR_LAYOUT_INFO_TENSOR_UID = 1100,
+    CUDNN_ATTR_LAYOUT_INFO_TYPES      = 1101,
+
+    CUDNN_ATTR_KNOB_INFO_TYPE          = 1200,
+    CUDNN_ATTR_KNOB_INFO_MAXIMUM_VALUE = 1201,
+    CUDNN_ATTR_KNOB_INFO_MINIMUM_VALUE = 1202,
+    CUDNN_ATTR_KNOB_INFO_STRIDE        = 1203,
+
+    CUDNN_ATTR_ENGINE_OPERATION_GRAPH = 1300,
+    CUDNN_ATTR_ENGINE_GLOBAL_INDEX    = 1301,
+    CUDNN_ATTR_ENGINE_KNOB_INFO       = 1302,
+    CUDNN_ATTR_ENGINE_NUMERICAL_NOTE  = 1303,
+    CUDNN_ATTR_ENGINE_LAYOUT_INFO     = 1304,
+    CUDNN_ATTR_ENGINE_BEHAVIOR_NOTE   = 1305,
+    CUDNN_ATTR_ENGINE_SM_COUNT_TARGET = 1306,
+
+    CUDNN_ATTR_MATMUL_COMP_TYPE     = 1500,
+    CUDNN_ATTR_MATMUL_PADDING_VALUE = 1503,
+
+    CUDNN_ATTR_OPERATION_MATMUL_ADESC                                                 = 1520,
+    CUDNN_ATTR_OPERATION_MATMUL_BDESC                                                 = 1521,
+    CUDNN_ATTR_OPERATION_MATMUL_CDESC                                                 = 1522,
+    CUDNN_ATTR_OPERATION_MATMUL_DESC                                                  = 1523,
+    CUDNN_ATTR_OPERATION_MATMUL_IRREGULARLY_STRIDED_BATCH_COUNT CUDNN_DEPRECATED_ENUM = 1524,
+    CUDNN_ATTR_OPERATION_MATMUL_GEMM_M_OVERRIDE_DESC                                  = 1525,
+    CUDNN_ATTR_OPERATION_MATMUL_GEMM_N_OVERRIDE_DESC                                  = 1526,
+    CUDNN_ATTR_OPERATION_MATMUL_GEMM_K_OVERRIDE_DESC                                  = 1527,
+
+    CUDNN_ATTR_REDUCTION_OPERATOR  = 1600,
+    CUDNN_ATTR_REDUCTION_COMP_TYPE = 1601,
+
+    CUDNN_ATTR_OPERATION_REDUCTION_XDESC = 1610,
+    CUDNN_ATTR_OPERATION_REDUCTION_YDESC = 1611,
+    CUDNN_ATTR_OPERATION_REDUCTION_DESC  = 1612,
+
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_MATH_PREC        = 1620,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_MEAN_DESC        = 1621,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_INVSTD_DESC      = 1622,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_BN_SCALE_DESC    = 1623,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_X_DESC           = 1624,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_DY_DESC          = 1625,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_DBN_SCALE_DESC   = 1626,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_DBN_BIAS_DESC    = 1627,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_EQ_DY_SCALE_DESC = 1628,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_EQ_X_SCALE_DESC  = 1629,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_EQ_BIAS          = 1630,
+
+    CUDNN_ATTR_RESAMPLE_MODE            = 1700,
+    CUDNN_ATTR_RESAMPLE_COMP_TYPE       = 1701,
+    CUDNN_ATTR_RESAMPLE_SPATIAL_DIMS    = 1702,
+    CUDNN_ATTR_RESAMPLE_POST_PADDINGS   = 1703,
+    CUDNN_ATTR_RESAMPLE_PRE_PADDINGS    = 1704,
+    CUDNN_ATTR_RESAMPLE_STRIDES         = 1705,
+    CUDNN_ATTR_RESAMPLE_WINDOW_DIMS     = 1706,
+    CUDNN_ATTR_RESAMPLE_NAN_PROPAGATION = 1707,
+    CUDNN_ATTR_RESAMPLE_PADDING_MODE    = 1708,
+
+    CUDNN_ATTR_OPERATION_RESAMPLE_FWD_XDESC                       = 1710,
+    CUDNN_ATTR_OPERATION_RESAMPLE_FWD_YDESC                       = 1711,
+    CUDNN_ATTR_OPERATION_RESAMPLE_FWD_IDXDESC                     = 1712,
+    CUDNN_ATTR_OPERATION_RESAMPLE_FWD_ALPHA CUDNN_DEPRECATED_ENUM = 1713,
+    CUDNN_ATTR_OPERATION_RESAMPLE_FWD_BETA CUDNN_DEPRECATED_ENUM  = 1714,
+    CUDNN_ATTR_OPERATION_RESAMPLE_FWD_DESC                        = 1716,
+
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_DXDESC                      = 1720,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_DYDESC                      = 1721,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_IDXDESC                     = 1722,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_ALPHA CUDNN_DEPRECATED_ENUM = 1723,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_BETA CUDNN_DEPRECATED_ENUM  = 1724,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_DESC                        = 1725,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_XDESC                       = 1726,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_YDESC                       = 1727,
+
+    CUDNN_ATTR_OPERATION_CONCAT_AXIS          = 1800,
+    CUDNN_ATTR_OPERATION_CONCAT_INPUT_DESCS   = 1801,
+    CUDNN_ATTR_OPERATION_CONCAT_INPLACE_INDEX = 1802,
+    CUDNN_ATTR_OPERATION_CONCAT_OUTPUT_DESC   = 1803,
+
+    CUDNN_ATTR_OPERATION_SIGNAL_MODE     = 1900,
+    CUDNN_ATTR_OPERATION_SIGNAL_FLAGDESC = 1901,
+    CUDNN_ATTR_OPERATION_SIGNAL_VALUE    = 1902,
+    CUDNN_ATTR_OPERATION_SIGNAL_XDESC    = 1903,
+    CUDNN_ATTR_OPERATION_SIGNAL_YDESC    = 1904,
+
+    CUDNN_ATTR_OPERATION_NORM_FWD_MODE                     = 2000,
+    CUDNN_ATTR_OPERATION_NORM_FWD_PHASE                    = 2001,
+    CUDNN_ATTR_OPERATION_NORM_FWD_XDESC                    = 2002,
+    CUDNN_ATTR_OPERATION_NORM_FWD_MEAN_DESC                = 2003,
+    CUDNN_ATTR_OPERATION_NORM_FWD_INV_VARIANCE_DESC        = 2004,
+    CUDNN_ATTR_OPERATION_NORM_FWD_SCALE_DESC               = 2005,
+    CUDNN_ATTR_OPERATION_NORM_FWD_BIAS_DESC                = 2006,
+    CUDNN_ATTR_OPERATION_NORM_FWD_EPSILON_DESC             = 2007,
+    CUDNN_ATTR_OPERATION_NORM_FWD_EXP_AVG_FACTOR_DESC      = 2008,
+    CUDNN_ATTR_OPERATION_NORM_FWD_INPUT_RUNNING_MEAN_DESC  = 2009,
+    CUDNN_ATTR_OPERATION_NORM_FWD_INPUT_RUNNING_VAR_DESC   = 2010,
+    CUDNN_ATTR_OPERATION_NORM_FWD_OUTPUT_RUNNING_MEAN_DESC = 2011,
+    CUDNN_ATTR_OPERATION_NORM_FWD_OUTPUT_RUNNING_VAR_DESC  = 2012,
+    CUDNN_ATTR_OPERATION_NORM_FWD_YDESC                    = 2013,
+    CUDNN_ATTR_OPERATION_NORM_FWD_PEER_STAT_DESCS          = 2014,
+
+    CUDNN_ATTR_OPERATION_NORM_BWD_MODE              = 2100,
+    CUDNN_ATTR_OPERATION_NORM_BWD_XDESC             = 2101,
+    CUDNN_ATTR_OPERATION_NORM_BWD_MEAN_DESC         = 2102,
+    CUDNN_ATTR_OPERATION_NORM_BWD_INV_VARIANCE_DESC = 2103,
+    CUDNN_ATTR_OPERATION_NORM_BWD_DYDESC            = 2104,
+    CUDNN_ATTR_OPERATION_NORM_BWD_SCALE_DESC        = 2105,
+    CUDNN_ATTR_OPERATION_NORM_BWD_EPSILON_DESC      = 2106,
+    CUDNN_ATTR_OPERATION_NORM_BWD_DSCALE_DESC       = 2107,
+    CUDNN_ATTR_OPERATION_NORM_BWD_DBIAS_DESC        = 2108,
+    CUDNN_ATTR_OPERATION_NORM_BWD_DXDESC            = 2109,
+    CUDNN_ATTR_OPERATION_NORM_BWD_PEER_STAT_DESCS   = 2110,
+
+    CUDNN_ATTR_OPERATION_RESHAPE_XDESC = 2200,
+    CUDNN_ATTR_OPERATION_RESHAPE_YDESC = 2201,
+
+    CUDNN_ATTR_RNG_DISTRIBUTION                   = 2300,
+    CUDNN_ATTR_RNG_NORMAL_DIST_MEAN               = 2301,
+    CUDNN_ATTR_RNG_NORMAL_DIST_STANDARD_DEVIATION = 2302,
+    CUDNN_ATTR_RNG_UNIFORM_DIST_MAXIMUM           = 2303,
+    CUDNN_ATTR_RNG_UNIFORM_DIST_MINIMUM           = 2304,
+    CUDNN_ATTR_RNG_BERNOULLI_DIST_PROBABILITY     = 2305,
+
+    CUDNN_ATTR_OPERATION_RNG_YDESC       = 2310,
+    CUDNN_ATTR_OPERATION_RNG_SEED        = 2311,
+    CUDNN_ATTR_OPERATION_RNG_DESC        = 2312,
+    CUDNN_ATTR_OPERATION_RNG_OFFSET_DESC = 2313,
+} cudnnBackendAttributeName_t;
+
+typedef enum {
+    CUDNN_TYPE_HANDLE = 0,
+    CUDNN_TYPE_DATA_TYPE,
+    CUDNN_TYPE_BOOLEAN,
+    CUDNN_TYPE_INT64,
+    CUDNN_TYPE_FLOAT,
+    CUDNN_TYPE_DOUBLE,
+    CUDNN_TYPE_VOID_PTR,
+    CUDNN_TYPE_CONVOLUTION_MODE,
+    CUDNN_TYPE_HEUR_MODE,
+    CUDNN_TYPE_KNOB_TYPE,
+    CUDNN_TYPE_NAN_PROPOGATION CUDNN_DEPRECATED_ENUM,
+    CUDNN_TYPE_NUMERICAL_NOTE,
+    CUDNN_TYPE_LAYOUT_TYPE,
+    CUDNN_TYPE_ATTRIB_NAME,
+    CUDNN_TYPE_POINTWISE_MODE,
+    CUDNN_TYPE_BACKEND_DESCRIPTOR,
+    CUDNN_TYPE_GENSTATS_MODE,
+    CUDNN_TYPE_BN_FINALIZE_STATS_MODE,
+    CUDNN_TYPE_REDUCTION_OPERATOR_TYPE,
+    CUDNN_TYPE_BEHAVIOR_NOTE,
+    CUDNN_TYPE_TENSOR_REORDERING_MODE,
+    CUDNN_TYPE_RESAMPLE_MODE,
+    CUDNN_TYPE_PADDING_MODE,
+    CUDNN_TYPE_INT32,
+    CUDNN_TYPE_CHAR,
+    CUDNN_TYPE_SIGNAL_MODE,
+    CUDNN_TYPE_FRACTION,
+    CUDNN_TYPE_NORM_MODE,
+    CUDNN_TYPE_NORM_FWD_PHASE,
+    CUDNN_TYPE_RNG_DISTRIBUTION
+} cudnnBackendAttributeType_t;
+
+typedef enum {
+    CUDNN_BACKEND_POINTWISE_DESCRIPTOR = 0,
+    CUDNN_BACKEND_CONVOLUTION_DESCRIPTOR,
+    CUDNN_BACKEND_ENGINE_DESCRIPTOR,
+    CUDNN_BACKEND_ENGINECFG_DESCRIPTOR,
+    CUDNN_BACKEND_ENGINEHEUR_DESCRIPTOR,
+    CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR,
+    CUDNN_BACKEND_INTERMEDIATE_INFO_DESCRIPTOR,
+    CUDNN_BACKEND_KNOB_CHOICE_DESCRIPTOR,
+    CUDNN_BACKEND_KNOB_INFO_DESCRIPTOR,
+    CUDNN_BACKEND_LAYOUT_INFO_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_CONVOLUTION_FORWARD_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_CONVOLUTION_BACKWARD_FILTER_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_CONVOLUTION_BACKWARD_DATA_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_POINTWISE_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_GEN_STATS_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATIONGRAPH_DESCRIPTOR,
+    CUDNN_BACKEND_VARIANT_PACK_DESCRIPTOR,
+    CUDNN_BACKEND_TENSOR_DESCRIPTOR,
+    CUDNN_BACKEND_MATMUL_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_MATMUL_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_BN_FINALIZE_STATISTICS_DESCRIPTOR,
+    CUDNN_BACKEND_REDUCTION_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_REDUCTION_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_BN_BWD_WEIGHTS_DESCRIPTOR,
+    CUDNN_BACKEND_RESAMPLE_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_RESAMPLE_FWD_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_RESAMPLE_BWD_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_CONCAT_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_SIGNAL_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_NORM_FORWARD_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_NORM_BACKWARD_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_RESHAPE_DESCRIPTOR,
+    CUDNN_BACKEND_RNG_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_RNG_DESCRIPTOR,
+} cudnnBackendDescriptorType_t;
+
+typedef enum {
+    CUDNN_NUMERICAL_NOTE_TENSOR_CORE = 0,
+    CUDNN_NUMERICAL_NOTE_DOWN_CONVERT_INPUTS,
+    CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION,
+    CUDNN_NUMERICAL_NOTE_FFT,
+    CUDNN_NUMERICAL_NOTE_NONDETERMINISTIC,
+    CUDNN_NUMERICAL_NOTE_WINOGRAD,
+    CUDNN_NUMERICAL_NOTE_WINOGRAD_TILE_4x4,
+    CUDNN_NUMERICAL_NOTE_WINOGRAD_TILE_6x6,
+    CUDNN_NUMERICAL_NOTE_WINOGRAD_TILE_13x13,
+    CUDNN_NUMERICAL_NOTE_STRICT_NAN_PROP,
+    CUDNN_NUMERICAL_NOTE_TYPE_COUNT,
+} cudnnBackendNumericalNote_t;
+
+typedef enum {
+    CUDNN_BEHAVIOR_NOTE_RUNTIME_COMPILATION             = 0,
+    CUDNN_BEHAVIOR_NOTE_REQUIRES_FILTER_INT8x32_REORDER = 1,
+    CUDNN_BEHAVIOR_NOTE_REQUIRES_BIAS_INT8x32_REORDER   = 2,
+    CUDNN_BEHAVIOR_NOTE_TYPE_COUNT,
+} cudnnBackendBehaviorNote_t;
+
+typedef enum {
+    CUDNN_KNOB_TYPE_SPLIT_K CUDNN_DEPRECATED_ENUM          = 0,
+    CUDNN_KNOB_TYPE_SWIZZLE                                = 1,
+    CUDNN_KNOB_TYPE_TILE_SIZE                              = 2,
+    CUDNN_KNOB_TYPE_USE_TEX CUDNN_DEPRECATED_ENUM          = 3,
+    CUDNN_KNOB_TYPE_EDGE                                   = 4,
+    CUDNN_KNOB_TYPE_KBLOCK CUDNN_DEPRECATED_ENUM           = 5,
+    CUDNN_KNOB_TYPE_LDGA CUDNN_DEPRECATED_ENUM             = 6,
+    CUDNN_KNOB_TYPE_LDGB CUDNN_DEPRECATED_ENUM             = 7,
+    CUDNN_KNOB_TYPE_CHUNK_K CUDNN_DEPRECATED_ENUM          = 8,
+    CUDNN_KNOB_TYPE_SPLIT_H CUDNN_DEPRECATED_ENUM          = 9,
+    CUDNN_KNOB_TYPE_WINO_TILE CUDNN_DEPRECATED_ENUM        = 10,
+    CUDNN_KNOB_TYPE_MULTIPLY                               = 11,
+    CUDNN_KNOB_TYPE_SPLIT_K_BUF                            = 12,
+    CUDNN_KNOB_TYPE_TILEK                                  = 13,
+    CUDNN_KNOB_TYPE_STAGES                                 = 14,
+    CUDNN_KNOB_TYPE_REDUCTION_MODE                         = 15,
+    CUDNN_KNOB_TYPE_CTA_SPLIT_K_MODE CUDNN_DEPRECATED_ENUM = 16,
+    CUDNN_KNOB_TYPE_SPLIT_K_SLC                            = 17,
+    CUDNN_KNOB_TYPE_IDX_MODE CUDNN_DEPRECATED_ENUM         = 18,
+    CUDNN_KNOB_TYPE_SLICED CUDNN_DEPRECATED_ENUM           = 19,
+    CUDNN_KNOB_TYPE_SPLIT_RS CUDNN_DEPRECATED_ENUM         = 20,
+    CUDNN_KNOB_TYPE_SINGLEBUFFER CUDNN_DEPRECATED_ENUM     = 21,
+    CUDNN_KNOB_TYPE_LDGC CUDNN_DEPRECATED_ENUM             = 22,
+    CUDNN_KNOB_TYPE_SPECFILT                               = 23,
+    CUDNN_KNOB_TYPE_KERNEL_CFG                             = 24,
+    CUDNN_KNOB_TYPE_WORKSPACE                              = 25,
+    CUDNN_KNOB_TYPE_TILE_CGA CUDNN_DEPRECATED_ENUM         = 26,
+    CUDNN_KNOB_TYPE_TILE_CGA_M                             = 27,
+    CUDNN_KNOB_TYPE_TILE_CGA_N                             = 28,
+    CUDNN_KNOB_TYPE_BLOCK_SIZE                             = 29,
+    CUDNN_KNOB_TYPE_OCCUPANCY                              = 30,
+    CUDNN_KNOB_TYPE_ARRAY_SIZE_PER_THREAD                  = 31,
+    CUDNN_KNOB_TYPE_NUM_C_PER_BLOCK CUDNN_DEPRECATED_ENUM  = 32,
+    CUDNN_KNOB_TYPE_SPLIT_COLS                             = 33,
+    CUDNN_KNOB_TYPE_TILE_ROWS                              = 34,
+    CUDNN_KNOB_TYPE_TILE_COLS                              = 35,
+    CUDNN_KNOB_TYPE_LOAD_SIZE                              = 36,
+    CUDNN_KNOB_TYPE_COUNTS,
+} cudnnBackendKnobType_t;
+
+typedef enum {
+    CUDNN_LAYOUT_TYPE_PREFERRED_NCHW   = 0,
+    CUDNN_LAYOUT_TYPE_PREFERRED_NHWC   = 1,
+    CUDNN_LAYOUT_TYPE_PREFERRED_PAD4CK = 2,
+    CUDNN_LAYOUT_TYPE_PREFERRED_PAD8CK = 3,
+    CUDNN_LAYOUT_TYPE_COUNT            = 4,
+} cudnnBackendLayoutType_t;
+
+typedef enum {
+    CUDNN_HEUR_MODE_INSTANT  = 0,
+    CUDNN_HEUR_MODE_B        = 1,
+    CUDNN_HEUR_MODE_FALLBACK = 2,
+    CUDNN_HEUR_MODE_A        = 3,
+    CUDNN_HEUR_MODES_COUNT   = 4,
+} cudnnBackendHeurMode_t;
+
+typedef enum {
+    CUDNN_TENSOR_REORDERING_NONE    = 0,
+    CUDNN_TENSOR_REORDERING_INT8x32 = 1,
+    CUDNN_TENSOR_REORDERING_F16x16  = 2,
+} cudnnBackendTensorReordering_t;
+
+typedef enum {
+    CUDNN_ZERO_PAD     = 0,
+    CUDNN_NEG_INF_PAD  = 1,
+    CUDNN_EDGE_VAL_PAD = 2,
+} cudnnPaddingMode_t;
+
+typedef enum {
+    CUDNN_LAYER_NORM    = 0,
+    CUDNN_INSTANCE_NORM = 1,
+    CUDNN_BATCH_NORM    = 2,
+    CUDNN_GROUP_NORM    = 3,
+    CUDNN_RMS_NORM      = 4,
+} cudnnBackendNormMode_t;
+
+typedef enum {
+    CUDNN_NORM_FWD_INFERENCE = 0,
+    CUDNN_NORM_FWD_TRAINING  = 1,
+} cudnnBackendNormFwdPhase_t;
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendCreateDescriptor(cudnnBackendDescriptorType_t descriptorType, cudnnBackendDescriptor_t *descriptor);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendDestroyDescriptor(cudnnBackendDescriptor_t descriptor);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendInitialize(cudnnBackendDescriptor_t descriptor);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendFinalize(cudnnBackendDescriptor_t descriptor);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendSetAttribute(cudnnBackendDescriptor_t descriptor,
+                         cudnnBackendAttributeName_t attributeName,
+                         cudnnBackendAttributeType_t attributeType,
+                         int64_t elementCount,
+                         const void *arrayOfElements);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendGetAttribute(cudnnBackendDescriptor_t const descriptor,
+                         cudnnBackendAttributeName_t attributeName,
+                         cudnnBackendAttributeType_t attributeType,
+                         int64_t requestedElementCount,
+                         int64_t *elementCount,
+                         void *arrayOfElements);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendExecute(cudnnHandle_t handle, cudnnBackendDescriptor_t executionPlan, cudnnBackendDescriptor_t variantPack);
+
+#if defined(__cplusplus)
+}
+#endif
+
+#endif /* CUDNN_GRAPH_H_ */

pllava/lib/python3.10/site-packages/nvidia/cudnn/include/cudnn_graph_v9.h

@@ -0,0 +1,909 @@
+/*
+ * Copyright 2014-2023 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+/*
+ *  cudnn_graph : cuDNN's basic definitions operations.
+ */
+
+#if !defined(CUDNN_GRAPH_H_)
+#define CUDNN_GRAPH_H_
+
+#include <cuda_runtime_api.h>
+#include <library_types.h>
+
+#include <stdint.h>
+
+#include "cudnn_version.h"
+
+/* These version numbers are autogenerated, do not edit manually. */
+#define CUDNN_GRAPH_MAJOR 9
+#define CUDNN_GRAPH_MINOR 1
+#define CUDNN_GRAPH_PATCH 0
+
+#if (CUDNN_GRAPH_MAJOR != CUDNN_MAJOR) || (CUDNN_GRAPH_MINOR != CUDNN_MINOR) || (CUDNN_GRAPH_PATCH != CUDNN_PATCHLEVEL)
+#error Version mismatch in cuDNN GRAPH!!!
+#endif
+
+#ifndef CUDNNWINAPI
+#ifdef _WIN32
+#define CUDNNWINAPI __stdcall
+#else
+#define CUDNNWINAPI
+#endif
+#endif
+
+/* Warnings for deprecated API-s are enabled using the CUDNN_WARN_DEPRECATED macro */
+#if defined(CUDNN_WARN_DEPRECATED) && (defined(__GNUC__) || defined(__clang__))
+/* GCC, Intel C/C++, Cray C/C++, CLANG, IBM XL C/C++ little endian */
+#define CUDNN_DEPRECATED __attribute__((deprecated))
+#define CUDNN_DEPRECATED_ENUM __attribute__((deprecated))
+#elif defined(CUDNN_WARN_DEPRECATED) && defined(_MSC_VER)
+/* Microsoft Visual C++ */
+#define CUDNN_DEPRECATED __declspec(deprecated)
+#define CUDNN_DEPRECATED_ENUM __declspec(deprecated)
+#elif defined(CUDNN_WARN_DEPRECATED) && (__cplusplus >= 201402L)
+/* C++14 compilers */
+#define CUDNN_DEPRECATED [[deprecated]]
+#define CUDNN_DEPRECATED_ENUM [[deprecated]]
+#else
+/* No support for the deprecated attribute */
+#define CUDNN_DEPRECATED
+#define CUDNN_DEPRECATED_ENUM
+#endif
+
+#if defined(__cplusplus)
+extern "C" {
+#endif
+
+struct cudnnContext;
+typedef struct cudnnContext *cudnnHandle_t;
+
+size_t CUDNNWINAPI
+cudnnGetVersion(void);
+
+size_t CUDNNWINAPI
+cudnnGetMaxDeviceVersion(void);
+
+/* Returns CUDA Runtime version statically linked against cudnn */
+size_t CUDNNWINAPI
+cudnnGetCudartVersion(void);
+
+/*
+ * CUDNN return codes
+ */
+typedef enum {
+    CUDNN_STATUS_SUCCESS = 0,
+
+    /* Uncategorized errors */
+    CUDNN_STATUS_NOT_INITIALIZED                = 1001,
+    CUDNN_STATUS_SUBLIBRARY_VERSION_MISMATCH    = 1002,
+    CUDNN_STATUS_SERIALIZATION_VERSION_MISMATCH = 1003,
+    CUDNN_STATUS_DEPRECATED                     = 1004,
+    CUDNN_STATUS_LICENSE_ERROR                  = 1005,
+    CUDNN_STATUS_RUNTIME_IN_PROGRESS            = 1006,
+    CUDNN_STATUS_RUNTIME_FP_OVERFLOW            = 1007,
+
+    CUDNN_STATUS_BAD_PARAM                    = 2000,
+    CUDNN_STATUS_BAD_PARAM_NULL_POINTER       = 2002,
+    CUDNN_STATUS_BAD_PARAM_MISALIGNED_POINTER = 2003,
+    CUDNN_STATUS_BAD_PARAM_NOT_FINALIZED      = 2004,
+    CUDNN_STATUS_BAD_PARAM_OUT_OF_BOUND       = 2005,
+    CUDNN_STATUS_BAD_PARAM_SIZE_INSUFFICIENT  = 2006,
+    CUDNN_STATUS_BAD_PARAM_STREAM_MISMATCH    = 2007,
+    CUDNN_STATUS_BAD_PARAM_SHAPE_MISMATCH     = 2008,
+    CUDNN_STATUS_BAD_PARAM_DUPLICATED_ENTRIES = 2009,
+    CUDNN_STATUS_BAD_PARAM_ATTRIBUTE_TYPE     = 2010,
+
+    CUDNN_STATUS_NOT_SUPPORTED                              = 3000,
+    CUDNN_STATUS_NOT_SUPPORTED_GRAPH_PATTERN                = 3001,
+    CUDNN_STATUS_NOT_SUPPORTED_SHAPE                        = 3002,
+    CUDNN_STATUS_NOT_SUPPORTED_DATA_TYPE                    = 3003,
+    CUDNN_STATUS_NOT_SUPPORTED_LAYOUT                       = 3004,
+    CUDNN_STATUS_NOT_SUPPORTED_INCOMPATIBLE_CUDA_DRIVER     = 3005,
+    CUDNN_STATUS_NOT_SUPPORTED_INCOMPATIBLE_CUDART          = 3006,
+    CUDNN_STATUS_NOT_SUPPORTED_ARCH_MISMATCH                = 3007,
+    CUDNN_STATUS_NOT_SUPPORTED_RUNTIME_PREREQUISITE_MISSING = 3008,
+    CUDNN_STATUS_NOT_SUPPORTED_SUBLIBRARY_UNAVAILABLE       = 3009,
+    CUDNN_STATUS_NOT_SUPPORTED_SHARED_MEMORY_INSUFFICIENT   = 3010,
+    CUDNN_STATUS_NOT_SUPPORTED_PADDING                      = 3011,
+    CUDNN_STATUS_NOT_SUPPORTED_BAD_LAUNCH_PARAM             = 3012,
+
+    CUDNN_STATUS_INTERNAL_ERROR                          = 4000,
+    CUDNN_STATUS_INTERNAL_ERROR_COMPILATION_FAILED       = 4001,
+    CUDNN_STATUS_INTERNAL_ERROR_UNEXPECTED_VALUE         = 4002,
+    CUDNN_STATUS_INTERNAL_ERROR_HOST_ALLOCATION_FAILED   = 4003,
+    CUDNN_STATUS_INTERNAL_ERROR_DEVICE_ALLOCATION_FAILED = 4004,
+    CUDNN_STATUS_INTERNAL_ERROR_BAD_LAUNCH_PARAM         = 4005,
+    CUDNN_STATUS_INTERNAL_ERROR_TEXTURE_CREATION_FAILED  = 4006,
+
+    CUDNN_STATUS_EXECUTION_FAILED             = 5000,
+    CUDNN_STATUS_EXECUTION_FAILED_CUDA_DRIVER = 5001,
+    CUDNN_STATUS_EXECUTION_FAILED_CUBLAS      = 5002,
+    CUDNN_STATUS_EXECUTION_FAILED_CUDART      = 5003,
+    CUDNN_STATUS_EXECUTION_FAILED_CURAND      = 5004,
+
+    CUDNN_STATUS_ALLOC_FAILED CUDNN_DEPRECATED_ENUM  = CUDNN_STATUS_INTERNAL_ERROR_HOST_ALLOCATION_FAILED,
+    CUDNN_STATUS_INVALID_VALUE CUDNN_DEPRECATED_ENUM = 2001 /* please transition to CUDNN_STATUS_BAD_PARAM instead */,
+    CUDNN_STATUS_ARCH_MISMATCH CUDNN_DEPRECATED_ENUM = CUDNN_STATUS_NOT_SUPPORTED_ARCH_MISMATCH,
+    CUDNN_STATUS_MAPPING_ERROR CUDNN_DEPRECATED_ENUM = CUDNN_STATUS_INTERNAL_ERROR_TEXTURE_CREATION_FAILED,
+    CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING CUDNN_DEPRECATED_ENUM =
+        CUDNN_STATUS_NOT_SUPPORTED_RUNTIME_PREREQUISITE_MISSING,
+    CUDNN_STATUS_VERSION_MISMATCH CUDNN_DEPRECATED_ENUM = CUDNN_STATUS_SUBLIBRARY_VERSION_MISMATCH,
+} cudnnStatus_t;
+
+#define CUDNN_STATUS_FULL_ERROR_CODE(category, specific_err) ((cudnnStatus_t)(0 + (category) + (specific_err)))
+#define CUDNN_STATUS_CATEGORY(full_error_code) ((full_error_code) / 1000 * 1000)
+#define CUDNN_STATUS_SPECIFIC_ERROR(full_error_code) ((full_error_code) % 1000)
+
+/* human-readable error messages */
+const char *CUDNNWINAPI
+cudnnGetErrorString(cudnnStatus_t status);
+
+void CUDNNWINAPI
+cudnnGetLastErrorString(char *message, size_t max_size);
+
+/* Forward definition in this version only */
+typedef struct cudnnRuntimeTag_t cudnnRuntimeTag_t CUDNN_DEPRECATED;
+
+typedef enum {
+    CUDNN_ERRQUERY_RAWCODE     = 0,
+    CUDNN_ERRQUERY_NONBLOCKING = 1,
+    CUDNN_ERRQUERY_BLOCKING    = 2,
+} cudnnErrQueryMode_t;
+
+CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
+cudnnQueryRuntimeError(cudnnHandle_t handle, cudnnStatus_t *rstatus, cudnnErrQueryMode_t mode, cudnnRuntimeTag_t *tag);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetProperty(libraryPropertyType type, int *value);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnCreate(cudnnHandle_t *handle);
+cudnnStatus_t CUDNNWINAPI
+cudnnDestroy(cudnnHandle_t handle);
+cudnnStatus_t CUDNNWINAPI
+cudnnSetStream(cudnnHandle_t handle, cudaStream_t streamId);
+cudnnStatus_t CUDNNWINAPI
+cudnnGetStream(cudnnHandle_t handle, cudaStream_t *streamId);
+/*
+ * CUDNN data type
+ */
+typedef enum {
+    CUDNN_DATA_FLOAT                         = 0,
+    CUDNN_DATA_DOUBLE                        = 1,
+    CUDNN_DATA_HALF                          = 2,
+    CUDNN_DATA_INT8                          = 3,
+    CUDNN_DATA_INT32                         = 4,
+    CUDNN_DATA_INT8x4 CUDNN_DEPRECATED_ENUM  = 5,
+    CUDNN_DATA_UINT8                         = 6,
+    CUDNN_DATA_UINT8x4 CUDNN_DEPRECATED_ENUM = 7,
+    CUDNN_DATA_INT8x32 CUDNN_DEPRECATED_ENUM = 8,
+    CUDNN_DATA_BFLOAT16                      = 9,
+    CUDNN_DATA_INT64                         = 10,
+    CUDNN_DATA_BOOLEAN                       = 11,
+    CUDNN_DATA_FP8_E4M3                      = 12,
+    CUDNN_DATA_FP8_E5M2                      = 13,
+    CUDNN_DATA_FAST_FLOAT_FOR_FP8            = 14,
+} cudnnDataType_t;
+
+/*
+ * CUDNN math type
+ */
+typedef enum {
+    CUDNN_DEFAULT_MATH                    = 0,
+    CUDNN_TENSOR_OP_MATH                  = 1,
+    CUDNN_TENSOR_OP_MATH_ALLOW_CONVERSION = 2,
+    CUDNN_FMA_MATH                        = 3,
+} cudnnMathType_t;
+
+/*
+ * CUDNN propagate Nan
+ */
+typedef enum {
+    CUDNN_NOT_PROPAGATE_NAN CUDNN_DEPRECATED_ENUM = 0,
+    CUDNN_PROPAGATE_NAN CUDNN_DEPRECATED_ENUM     = 1,
+} cudnnNanPropagation_t;
+
+/*
+ * Behavior for OOB samples. OOB samples are samples where L+R > T is encountered during the gradient calculation. If
+ * gradMode is set to CUDNN_CTC_SKIP_OOB_GRADIENTS, then the CTC loss function does not write to the gradient buffer for
+ * that sample. Instead, the current values, even not finite, are retained. If gradMode is set to
+ * CUDNN_CTC_ZERO_OOB_GRADIENTS, then the gradient for that sample is set to zero. This guarantees a finite gradient.
+*/
+typedef enum {
+    CUDNN_CTC_ZERO_OOB_GRADIENTS = 0,
+    CUDNN_CTC_SKIP_OOB_GRADIENTS = 1,
+} cudnnCTCGradMode_t;
+
+typedef enum {
+    CUDNN_TENSOR_NCHW        = 0, /* row major (wStride = 1, hStride = w) */
+    CUDNN_TENSOR_NHWC        = 1, /* feature maps interleaved ( cStride = 1 )*/
+    CUDNN_TENSOR_NCHW_VECT_C = 2, /* each image point is vector of element of C, vector length in data type */
+} cudnnTensorFormat_t;
+
+/*
+ * CUDNN ReduceTensor op type
+ */
+typedef enum {
+    CUDNN_REDUCE_TENSOR_ADD          = 0,
+    CUDNN_REDUCE_TENSOR_MUL          = 1,
+    CUDNN_REDUCE_TENSOR_MIN          = 2,
+    CUDNN_REDUCE_TENSOR_MAX          = 3,
+    CUDNN_REDUCE_TENSOR_AMAX         = 4,
+    CUDNN_REDUCE_TENSOR_AVG          = 5,
+    CUDNN_REDUCE_TENSOR_NORM1        = 6,
+    CUDNN_REDUCE_TENSOR_NORM2        = 7,
+    CUDNN_REDUCE_TENSOR_MUL_NO_ZEROS = 8,
+} cudnnReduceTensorOp_t;
+
+/*
+ * activation mode
+ */
+typedef enum {
+    CUDNN_ACTIVATION_SIGMOID      = 0,
+    CUDNN_ACTIVATION_RELU         = 1,
+    CUDNN_ACTIVATION_TANH         = 2,
+    CUDNN_ACTIVATION_CLIPPED_RELU = 3,
+    CUDNN_ACTIVATION_ELU          = 4,
+    CUDNN_ACTIVATION_IDENTITY     = 5,
+    CUDNN_ACTIVATION_SWISH        = 6
+} cudnnActivationMode_t CUDNN_DEPRECATED;
+
+typedef enum {
+    CUDNN_SEV_FATAL   = 0,
+    CUDNN_SEV_ERROR   = 1,
+    CUDNN_SEV_WARNING = 2,
+    CUDNN_SEV_INFO    = 3,
+} cudnnSeverity_t;
+
+/* Message masks to be used with cudnnSetCallback() */
+#define CUDNN_SEV_ERROR_EN (1U << CUDNN_SEV_ERROR)
+#define CUDNN_SEV_WARNING_EN (1U << CUDNN_SEV_WARNING)
+#define CUDNN_SEV_INFO_EN (1U << CUDNN_SEV_INFO)
+
+/* struct containing useful informaiton for each API call */
+typedef struct cudnnDebugStruct {
+    unsigned cudnn_version;
+    cudnnStatus_t cudnnStatus;
+    unsigned time_sec;      /* epoch time in seconds */
+    unsigned time_usec;     /* microseconds part of epoch time */
+    unsigned time_delta;    /* time since start in seconds */
+    cudnnHandle_t handle;   /* cudnn handle */
+    cudaStream_t stream;    /* cuda stream ID */
+    unsigned long long pid; /* process ID */
+    unsigned long long tid; /* thread ID */
+    int cudaDeviceId;       /* CUDA device ID */
+    int reserved[15];       /* reserved for future use */
+} cudnnDebug_t;
+
+typedef void (*cudnnCallback_t)(cudnnSeverity_t sev, void *udata, const cudnnDebug_t *dbg, const char *msg);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSetCallback(unsigned mask, void *udata, cudnnCallback_t fptr);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetCallback(unsigned *mask, void **udata, cudnnCallback_t *fptr);
+
+/*
+ * \brief Cross-library version checker.
+ * This function is implemented differently in each sub-library. Each sublib
+ * checks whether its own version matches that of its dependencies.
+ * \returns CUDNN_STATUS_SUCCESS if the version check passes,
+ *          CUDNN_STATUS_SUBLIBRARY_VERSION_MISMATCH if the versions are inconsistent.
+ */
+cudnnStatus_t CUDNNWINAPI
+cudnnGraphVersionCheck(void);
+
+/* Maximum supported number of tensor dimensions */
+#define CUDNN_DIM_MAX 8
+
+/*
+ *  convolution mode
+ */
+typedef enum { CUDNN_CONVOLUTION = 0, CUDNN_CROSS_CORRELATION = 1 } cudnnConvolutionMode_t;
+
+/*
+ * CUDNN Reorder
+ */
+typedef enum {
+    CUDNN_DEFAULT_REORDER = 0,
+    CUDNN_NO_REORDER      = 1,
+} cudnnReorderType_t CUDNN_DEPRECATED;
+
+typedef void *cudnnBackendDescriptor_t;
+
+typedef struct cudnnFractionStruct {
+    int64_t numerator;
+    int64_t denominator;
+} cudnnFraction_t;
+
+typedef enum {
+    CUDNN_POINTWISE_ADD        = 0,
+    CUDNN_POINTWISE_ADD_SQUARE = 5,
+    CUDNN_POINTWISE_DIV        = 6,
+    CUDNN_POINTWISE_MAX        = 3,
+    CUDNN_POINTWISE_MIN        = 2,
+    CUDNN_POINTWISE_MOD        = 7,
+    CUDNN_POINTWISE_MUL        = 1,
+    CUDNN_POINTWISE_POW        = 8,
+    CUDNN_POINTWISE_SUB        = 9,
+
+    CUDNN_POINTWISE_ABS        = 10,
+    CUDNN_POINTWISE_CEIL       = 11,
+    CUDNN_POINTWISE_COS        = 12,
+    CUDNN_POINTWISE_EXP        = 13,
+    CUDNN_POINTWISE_FLOOR      = 14,
+    CUDNN_POINTWISE_LOG        = 15,
+    CUDNN_POINTWISE_NEG        = 16,
+    CUDNN_POINTWISE_RSQRT      = 17,
+    CUDNN_POINTWISE_SIN        = 18,
+    CUDNN_POINTWISE_SQRT       = 4,
+    CUDNN_POINTWISE_TAN        = 19,
+    CUDNN_POINTWISE_ERF        = 20,
+    CUDNN_POINTWISE_IDENTITY   = 21,
+    CUDNN_POINTWISE_RECIPROCAL = 22,
+    CUDNN_POINTWISE_ATAN2      = 23,
+
+    CUDNN_POINTWISE_RELU_FWD             = 100,
+    CUDNN_POINTWISE_TANH_FWD             = 101,
+    CUDNN_POINTWISE_SIGMOID_FWD          = 102,
+    CUDNN_POINTWISE_ELU_FWD              = 103,
+    CUDNN_POINTWISE_GELU_FWD             = 104,
+    CUDNN_POINTWISE_SOFTPLUS_FWD         = 105,
+    CUDNN_POINTWISE_SWISH_FWD            = 106,
+    CUDNN_POINTWISE_GELU_APPROX_TANH_FWD = 107,
+
+    CUDNN_POINTWISE_RELU_BWD             = 200,
+    CUDNN_POINTWISE_TANH_BWD             = 201,
+    CUDNN_POINTWISE_SIGMOID_BWD          = 202,
+    CUDNN_POINTWISE_ELU_BWD              = 203,
+    CUDNN_POINTWISE_GELU_BWD             = 204,
+    CUDNN_POINTWISE_SOFTPLUS_BWD         = 205,
+    CUDNN_POINTWISE_SWISH_BWD            = 206,
+    CUDNN_POINTWISE_GELU_APPROX_TANH_BWD = 207,
+
+    CUDNN_POINTWISE_CMP_EQ  = 300,
+    CUDNN_POINTWISE_CMP_NEQ = 301,
+    CUDNN_POINTWISE_CMP_GT  = 302,
+    CUDNN_POINTWISE_CMP_GE  = 303,
+    CUDNN_POINTWISE_CMP_LT  = 304,
+    CUDNN_POINTWISE_CMP_LE  = 305,
+
+    CUDNN_POINTWISE_LOGICAL_AND = 400,
+    CUDNN_POINTWISE_LOGICAL_OR  = 401,
+    CUDNN_POINTWISE_LOGICAL_NOT = 402,
+
+    CUDNN_POINTWISE_GEN_INDEX = 501,
+
+    CUDNN_POINTWISE_BINARY_SELECT = 601,
+} cudnnPointwiseMode_t;
+
+typedef enum {
+    CUDNN_RESAMPLE_NEAREST                 = 0,
+    CUDNN_RESAMPLE_BILINEAR                = 1,
+    CUDNN_RESAMPLE_AVGPOOL                 = 2,
+    CUDNN_RESAMPLE_AVGPOOL_INCLUDE_PADDING = 2,
+    CUDNN_RESAMPLE_AVGPOOL_EXCLUDE_PADDING = 4,
+    CUDNN_RESAMPLE_MAXPOOL                 = 3,
+} cudnnResampleMode_t;
+
+typedef enum {
+    CUDNN_SIGNAL_SET  = 0,
+    CUDNN_SIGNAL_WAIT = 1,
+} cudnnSignalMode_t;
+
+typedef enum {
+    CUDNN_GENSTATS_SUM_SQSUM = 0,
+} cudnnGenStatsMode_t;
+
+typedef enum {
+    CUDNN_BN_FINALIZE_STATISTICS_TRAINING  = 0,
+    CUDNN_BN_FINALIZE_STATISTICS_INFERENCE = 1,
+} cudnnBnFinalizeStatsMode_t;
+
+typedef enum {
+    CUDNN_RNG_DISTRIBUTION_BERNOULLI,
+    CUDNN_RNG_DISTRIBUTION_UNIFORM,
+    CUDNN_RNG_DISTRIBUTION_NORMAL,
+} cudnnRngDistribution_t;
+
+typedef enum {
+    CUDNN_ATTR_POINTWISE_MODE                                  = 0,
+    CUDNN_ATTR_POINTWISE_MATH_PREC                             = 1,
+    CUDNN_ATTR_POINTWISE_NAN_PROPAGATION CUDNN_DEPRECATED_ENUM = 2,
+    CUDNN_ATTR_POINTWISE_RELU_LOWER_CLIP                       = 3,
+    CUDNN_ATTR_POINTWISE_RELU_UPPER_CLIP                       = 4,
+    CUDNN_ATTR_POINTWISE_RELU_LOWER_CLIP_SLOPE                 = 5,
+    CUDNN_ATTR_POINTWISE_ELU_ALPHA                             = 6,
+    CUDNN_ATTR_POINTWISE_SOFTPLUS_BETA                         = 7,
+    CUDNN_ATTR_POINTWISE_SWISH_BETA                            = 8,
+    CUDNN_ATTR_POINTWISE_AXIS                                  = 9,
+
+    CUDNN_ATTR_CONVOLUTION_COMP_TYPE      = 100,
+    CUDNN_ATTR_CONVOLUTION_CONV_MODE      = 101,
+    CUDNN_ATTR_CONVOLUTION_DILATIONS      = 102,
+    CUDNN_ATTR_CONVOLUTION_FILTER_STRIDES = 103,
+    CUDNN_ATTR_CONVOLUTION_POST_PADDINGS  = 104,
+    CUDNN_ATTR_CONVOLUTION_PRE_PADDINGS   = 105,
+    CUDNN_ATTR_CONVOLUTION_SPATIAL_DIMS   = 106,
+
+    CUDNN_ATTR_ENGINEHEUR_MODE            = 200,
+    CUDNN_ATTR_ENGINEHEUR_OPERATION_GRAPH = 201,
+    CUDNN_ATTR_ENGINEHEUR_RESULTS         = 202,
+    CUDNN_ATTR_ENGINEHEUR_SM_COUNT_TARGET = 203,
+
+    CUDNN_ATTR_ENGINECFG_ENGINE            = 300,
+    CUDNN_ATTR_ENGINECFG_INTERMEDIATE_INFO = 301,
+    CUDNN_ATTR_ENGINECFG_KNOB_CHOICES      = 302,
+
+    CUDNN_ATTR_EXECUTION_PLAN_HANDLE                     = 400,
+    CUDNN_ATTR_EXECUTION_PLAN_ENGINE_CONFIG              = 401,
+    CUDNN_ATTR_EXECUTION_PLAN_WORKSPACE_SIZE             = 402,
+    CUDNN_ATTR_EXECUTION_PLAN_COMPUTED_INTERMEDIATE_UIDS = 403,
+    CUDNN_ATTR_EXECUTION_PLAN_RUN_ONLY_INTERMEDIATE_UIDS = 404,
+    CUDNN_ATTR_EXECUTION_PLAN_JSON_REPRESENTATION        = 405,
+
+    CUDNN_ATTR_INTERMEDIATE_INFO_UNIQUE_ID            = 500,
+    CUDNN_ATTR_INTERMEDIATE_INFO_SIZE                 = 501,
+    CUDNN_ATTR_INTERMEDIATE_INFO_DEPENDENT_DATA_UIDS  = 502,
+    CUDNN_ATTR_INTERMEDIATE_INFO_DEPENDENT_ATTRIBUTES = 503,
+
+    CUDNN_ATTR_KNOB_CHOICE_KNOB_TYPE  = 600,
+    CUDNN_ATTR_KNOB_CHOICE_KNOB_VALUE = 601,
+
+    CUDNN_ATTR_OPERATION_CONVOLUTION_FORWARD_ALPHA        = 700,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_FORWARD_BETA         = 701,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_FORWARD_CONV_DESC    = 702,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_FORWARD_W            = 703,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_FORWARD_X            = 704,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_FORWARD_Y            = 705,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_ALPHA       = 706,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_BETA        = 707,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_CONV_DESC   = 708,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_W           = 709,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_DX          = 710,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_DATA_DY          = 711,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_ALPHA     = 712,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_BETA      = 713,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_CONV_DESC = 714,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_DW        = 715,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_X         = 716,
+    CUDNN_ATTR_OPERATION_CONVOLUTION_BWD_FILTER_DY        = 717,
+
+    CUDNN_ATTR_OPERATION_POINTWISE_PW_DESCRIPTOR = 750,
+    CUDNN_ATTR_OPERATION_POINTWISE_XDESC         = 751,
+    CUDNN_ATTR_OPERATION_POINTWISE_BDESC         = 752,
+    CUDNN_ATTR_OPERATION_POINTWISE_YDESC         = 753,
+    CUDNN_ATTR_OPERATION_POINTWISE_ALPHA1        = 754,
+    CUDNN_ATTR_OPERATION_POINTWISE_ALPHA2        = 755,
+    CUDNN_ATTR_OPERATION_POINTWISE_DXDESC        = 756,
+    CUDNN_ATTR_OPERATION_POINTWISE_DYDESC        = 757,
+    CUDNN_ATTR_OPERATION_POINTWISE_TDESC         = 758,
+
+    CUDNN_ATTR_OPERATION_GENSTATS_MODE      = 770,
+    CUDNN_ATTR_OPERATION_GENSTATS_MATH_PREC = 771,
+    CUDNN_ATTR_OPERATION_GENSTATS_XDESC     = 772,
+    CUDNN_ATTR_OPERATION_GENSTATS_SUMDESC   = 773,
+    CUDNN_ATTR_OPERATION_GENSTATS_SQSUMDESC = 774,
+
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_STATS_MODE                = 780,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_MATH_PREC                 = 781,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_Y_SUM_DESC                = 782,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_Y_SQ_SUM_DESC             = 783,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_SCALE_DESC                = 784,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_BIAS_DESC                 = 785,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_PREV_RUNNING_MEAN_DESC    = 786,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_PREV_RUNNING_VAR_DESC     = 787,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_UPDATED_RUNNING_MEAN_DESC = 788,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_UPDATED_RUNNING_VAR_DESC  = 789,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_SAVED_MEAN_DESC           = 790,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_SAVED_INV_STD_DESC        = 791,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_EQ_SCALE_DESC             = 792,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_EQ_BIAS_DESC              = 793,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_ACCUM_COUNT_DESC          = 794,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_EPSILON_DESC              = 795,
+    CUDNN_ATTR_OPERATION_BN_FINALIZE_EXP_AVERATE_FACTOR_DESC   = 796,
+
+    CUDNN_ATTR_OPERATIONGRAPH_HANDLE              = 800,
+    CUDNN_ATTR_OPERATIONGRAPH_OPS                 = 801,
+    CUDNN_ATTR_OPERATIONGRAPH_ENGINE_GLOBAL_COUNT = 802,
+
+    CUDNN_ATTR_TENSOR_BYTE_ALIGNMENT       = 900,
+    CUDNN_ATTR_TENSOR_DATA_TYPE            = 901,
+    CUDNN_ATTR_TENSOR_DIMENSIONS           = 902,
+    CUDNN_ATTR_TENSOR_STRIDES              = 903,
+    CUDNN_ATTR_TENSOR_VECTOR_COUNT         = 904,
+    CUDNN_ATTR_TENSOR_VECTORIZED_DIMENSION = 905,
+    CUDNN_ATTR_TENSOR_UNIQUE_ID            = 906,
+    CUDNN_ATTR_TENSOR_IS_VIRTUAL           = 907,
+    CUDNN_ATTR_TENSOR_IS_BY_VALUE          = 908,
+    CUDNN_ATTR_TENSOR_REORDERING_MODE      = 909,
+    CUDNN_ATTR_TENSOR_RAGGED_OFFSET_DESC   = 913,
+
+    CUDNN_ATTR_VARIANT_PACK_UNIQUE_IDS    = 1000,
+    CUDNN_ATTR_VARIANT_PACK_DATA_POINTERS = 1001,
+    CUDNN_ATTR_VARIANT_PACK_INTERMEDIATES = 1002,
+    CUDNN_ATTR_VARIANT_PACK_WORKSPACE     = 1003,
+
+    CUDNN_ATTR_LAYOUT_INFO_TENSOR_UID = 1100,
+    CUDNN_ATTR_LAYOUT_INFO_TYPES      = 1101,
+
+    CUDNN_ATTR_KNOB_INFO_TYPE          = 1200,
+    CUDNN_ATTR_KNOB_INFO_MAXIMUM_VALUE = 1201,
+    CUDNN_ATTR_KNOB_INFO_MINIMUM_VALUE = 1202,
+    CUDNN_ATTR_KNOB_INFO_STRIDE        = 1203,
+
+    CUDNN_ATTR_ENGINE_OPERATION_GRAPH = 1300,
+    CUDNN_ATTR_ENGINE_GLOBAL_INDEX    = 1301,
+    CUDNN_ATTR_ENGINE_KNOB_INFO       = 1302,
+    CUDNN_ATTR_ENGINE_NUMERICAL_NOTE  = 1303,
+    CUDNN_ATTR_ENGINE_LAYOUT_INFO     = 1304,
+    CUDNN_ATTR_ENGINE_BEHAVIOR_NOTE   = 1305,
+    CUDNN_ATTR_ENGINE_SM_COUNT_TARGET = 1306,
+
+    CUDNN_ATTR_MATMUL_COMP_TYPE     = 1500,
+    CUDNN_ATTR_MATMUL_PADDING_VALUE = 1503,
+
+    CUDNN_ATTR_OPERATION_MATMUL_ADESC                                                 = 1520,
+    CUDNN_ATTR_OPERATION_MATMUL_BDESC                                                 = 1521,
+    CUDNN_ATTR_OPERATION_MATMUL_CDESC                                                 = 1522,
+    CUDNN_ATTR_OPERATION_MATMUL_DESC                                                  = 1523,
+    CUDNN_ATTR_OPERATION_MATMUL_IRREGULARLY_STRIDED_BATCH_COUNT CUDNN_DEPRECATED_ENUM = 1524,
+    CUDNN_ATTR_OPERATION_MATMUL_GEMM_M_OVERRIDE_DESC                                  = 1525,
+    CUDNN_ATTR_OPERATION_MATMUL_GEMM_N_OVERRIDE_DESC                                  = 1526,
+    CUDNN_ATTR_OPERATION_MATMUL_GEMM_K_OVERRIDE_DESC                                  = 1527,
+
+    CUDNN_ATTR_REDUCTION_OPERATOR  = 1600,
+    CUDNN_ATTR_REDUCTION_COMP_TYPE = 1601,
+
+    CUDNN_ATTR_OPERATION_REDUCTION_XDESC = 1610,
+    CUDNN_ATTR_OPERATION_REDUCTION_YDESC = 1611,
+    CUDNN_ATTR_OPERATION_REDUCTION_DESC  = 1612,
+
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_MATH_PREC        = 1620,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_MEAN_DESC        = 1621,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_INVSTD_DESC      = 1622,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_BN_SCALE_DESC    = 1623,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_X_DESC           = 1624,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_DY_DESC          = 1625,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_DBN_SCALE_DESC   = 1626,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_DBN_BIAS_DESC    = 1627,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_EQ_DY_SCALE_DESC = 1628,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_EQ_X_SCALE_DESC  = 1629,
+    CUDNN_ATTR_OPERATION_BN_BWD_WEIGHTS_EQ_BIAS          = 1630,
+
+    CUDNN_ATTR_RESAMPLE_MODE            = 1700,
+    CUDNN_ATTR_RESAMPLE_COMP_TYPE       = 1701,
+    CUDNN_ATTR_RESAMPLE_SPATIAL_DIMS    = 1702,
+    CUDNN_ATTR_RESAMPLE_POST_PADDINGS   = 1703,
+    CUDNN_ATTR_RESAMPLE_PRE_PADDINGS    = 1704,
+    CUDNN_ATTR_RESAMPLE_STRIDES         = 1705,
+    CUDNN_ATTR_RESAMPLE_WINDOW_DIMS     = 1706,
+    CUDNN_ATTR_RESAMPLE_NAN_PROPAGATION = 1707,
+    CUDNN_ATTR_RESAMPLE_PADDING_MODE    = 1708,
+
+    CUDNN_ATTR_OPERATION_RESAMPLE_FWD_XDESC                       = 1710,
+    CUDNN_ATTR_OPERATION_RESAMPLE_FWD_YDESC                       = 1711,
+    CUDNN_ATTR_OPERATION_RESAMPLE_FWD_IDXDESC                     = 1712,
+    CUDNN_ATTR_OPERATION_RESAMPLE_FWD_ALPHA CUDNN_DEPRECATED_ENUM = 1713,
+    CUDNN_ATTR_OPERATION_RESAMPLE_FWD_BETA CUDNN_DEPRECATED_ENUM  = 1714,
+    CUDNN_ATTR_OPERATION_RESAMPLE_FWD_DESC                        = 1716,
+
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_DXDESC                      = 1720,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_DYDESC                      = 1721,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_IDXDESC                     = 1722,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_ALPHA CUDNN_DEPRECATED_ENUM = 1723,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_BETA CUDNN_DEPRECATED_ENUM  = 1724,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_DESC                        = 1725,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_XDESC                       = 1726,
+    CUDNN_ATTR_OPERATION_RESAMPLE_BWD_YDESC                       = 1727,
+
+    CUDNN_ATTR_OPERATION_CONCAT_AXIS          = 1800,
+    CUDNN_ATTR_OPERATION_CONCAT_INPUT_DESCS   = 1801,
+    CUDNN_ATTR_OPERATION_CONCAT_INPLACE_INDEX = 1802,
+    CUDNN_ATTR_OPERATION_CONCAT_OUTPUT_DESC   = 1803,
+
+    CUDNN_ATTR_OPERATION_SIGNAL_MODE     = 1900,
+    CUDNN_ATTR_OPERATION_SIGNAL_FLAGDESC = 1901,
+    CUDNN_ATTR_OPERATION_SIGNAL_VALUE    = 1902,
+    CUDNN_ATTR_OPERATION_SIGNAL_XDESC    = 1903,
+    CUDNN_ATTR_OPERATION_SIGNAL_YDESC    = 1904,
+
+    CUDNN_ATTR_OPERATION_NORM_FWD_MODE                     = 2000,
+    CUDNN_ATTR_OPERATION_NORM_FWD_PHASE                    = 2001,
+    CUDNN_ATTR_OPERATION_NORM_FWD_XDESC                    = 2002,
+    CUDNN_ATTR_OPERATION_NORM_FWD_MEAN_DESC                = 2003,
+    CUDNN_ATTR_OPERATION_NORM_FWD_INV_VARIANCE_DESC        = 2004,
+    CUDNN_ATTR_OPERATION_NORM_FWD_SCALE_DESC               = 2005,
+    CUDNN_ATTR_OPERATION_NORM_FWD_BIAS_DESC                = 2006,
+    CUDNN_ATTR_OPERATION_NORM_FWD_EPSILON_DESC             = 2007,
+    CUDNN_ATTR_OPERATION_NORM_FWD_EXP_AVG_FACTOR_DESC      = 2008,
+    CUDNN_ATTR_OPERATION_NORM_FWD_INPUT_RUNNING_MEAN_DESC  = 2009,
+    CUDNN_ATTR_OPERATION_NORM_FWD_INPUT_RUNNING_VAR_DESC   = 2010,
+    CUDNN_ATTR_OPERATION_NORM_FWD_OUTPUT_RUNNING_MEAN_DESC = 2011,
+    CUDNN_ATTR_OPERATION_NORM_FWD_OUTPUT_RUNNING_VAR_DESC  = 2012,
+    CUDNN_ATTR_OPERATION_NORM_FWD_YDESC                    = 2013,
+    CUDNN_ATTR_OPERATION_NORM_FWD_PEER_STAT_DESCS          = 2014,
+
+    CUDNN_ATTR_OPERATION_NORM_BWD_MODE              = 2100,
+    CUDNN_ATTR_OPERATION_NORM_BWD_XDESC             = 2101,
+    CUDNN_ATTR_OPERATION_NORM_BWD_MEAN_DESC         = 2102,
+    CUDNN_ATTR_OPERATION_NORM_BWD_INV_VARIANCE_DESC = 2103,
+    CUDNN_ATTR_OPERATION_NORM_BWD_DYDESC            = 2104,
+    CUDNN_ATTR_OPERATION_NORM_BWD_SCALE_DESC        = 2105,
+    CUDNN_ATTR_OPERATION_NORM_BWD_EPSILON_DESC      = 2106,
+    CUDNN_ATTR_OPERATION_NORM_BWD_DSCALE_DESC       = 2107,
+    CUDNN_ATTR_OPERATION_NORM_BWD_DBIAS_DESC        = 2108,
+    CUDNN_ATTR_OPERATION_NORM_BWD_DXDESC            = 2109,
+    CUDNN_ATTR_OPERATION_NORM_BWD_PEER_STAT_DESCS   = 2110,
+
+    CUDNN_ATTR_OPERATION_RESHAPE_XDESC = 2200,
+    CUDNN_ATTR_OPERATION_RESHAPE_YDESC = 2201,
+
+    CUDNN_ATTR_RNG_DISTRIBUTION                   = 2300,
+    CUDNN_ATTR_RNG_NORMAL_DIST_MEAN               = 2301,
+    CUDNN_ATTR_RNG_NORMAL_DIST_STANDARD_DEVIATION = 2302,
+    CUDNN_ATTR_RNG_UNIFORM_DIST_MAXIMUM           = 2303,
+    CUDNN_ATTR_RNG_UNIFORM_DIST_MINIMUM           = 2304,
+    CUDNN_ATTR_RNG_BERNOULLI_DIST_PROBABILITY     = 2305,
+
+    CUDNN_ATTR_OPERATION_RNG_YDESC       = 2310,
+    CUDNN_ATTR_OPERATION_RNG_SEED        = 2311,
+    CUDNN_ATTR_OPERATION_RNG_DESC        = 2312,
+    CUDNN_ATTR_OPERATION_RNG_OFFSET_DESC = 2313,
+} cudnnBackendAttributeName_t;
+
+typedef enum {
+    CUDNN_TYPE_HANDLE = 0,
+    CUDNN_TYPE_DATA_TYPE,
+    CUDNN_TYPE_BOOLEAN,
+    CUDNN_TYPE_INT64,
+    CUDNN_TYPE_FLOAT,
+    CUDNN_TYPE_DOUBLE,
+    CUDNN_TYPE_VOID_PTR,
+    CUDNN_TYPE_CONVOLUTION_MODE,
+    CUDNN_TYPE_HEUR_MODE,
+    CUDNN_TYPE_KNOB_TYPE,
+    CUDNN_TYPE_NAN_PROPOGATION CUDNN_DEPRECATED_ENUM,
+    CUDNN_TYPE_NUMERICAL_NOTE,
+    CUDNN_TYPE_LAYOUT_TYPE,
+    CUDNN_TYPE_ATTRIB_NAME,
+    CUDNN_TYPE_POINTWISE_MODE,
+    CUDNN_TYPE_BACKEND_DESCRIPTOR,
+    CUDNN_TYPE_GENSTATS_MODE,
+    CUDNN_TYPE_BN_FINALIZE_STATS_MODE,
+    CUDNN_TYPE_REDUCTION_OPERATOR_TYPE,
+    CUDNN_TYPE_BEHAVIOR_NOTE,
+    CUDNN_TYPE_TENSOR_REORDERING_MODE,
+    CUDNN_TYPE_RESAMPLE_MODE,
+    CUDNN_TYPE_PADDING_MODE,
+    CUDNN_TYPE_INT32,
+    CUDNN_TYPE_CHAR,
+    CUDNN_TYPE_SIGNAL_MODE,
+    CUDNN_TYPE_FRACTION,
+    CUDNN_TYPE_NORM_MODE,
+    CUDNN_TYPE_NORM_FWD_PHASE,
+    CUDNN_TYPE_RNG_DISTRIBUTION
+} cudnnBackendAttributeType_t;
+
+typedef enum {
+    CUDNN_BACKEND_POINTWISE_DESCRIPTOR = 0,
+    CUDNN_BACKEND_CONVOLUTION_DESCRIPTOR,
+    CUDNN_BACKEND_ENGINE_DESCRIPTOR,
+    CUDNN_BACKEND_ENGINECFG_DESCRIPTOR,
+    CUDNN_BACKEND_ENGINEHEUR_DESCRIPTOR,
+    CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR,
+    CUDNN_BACKEND_INTERMEDIATE_INFO_DESCRIPTOR,
+    CUDNN_BACKEND_KNOB_CHOICE_DESCRIPTOR,
+    CUDNN_BACKEND_KNOB_INFO_DESCRIPTOR,
+    CUDNN_BACKEND_LAYOUT_INFO_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_CONVOLUTION_FORWARD_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_CONVOLUTION_BACKWARD_FILTER_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_CONVOLUTION_BACKWARD_DATA_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_POINTWISE_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_GEN_STATS_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATIONGRAPH_DESCRIPTOR,
+    CUDNN_BACKEND_VARIANT_PACK_DESCRIPTOR,
+    CUDNN_BACKEND_TENSOR_DESCRIPTOR,
+    CUDNN_BACKEND_MATMUL_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_MATMUL_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_BN_FINALIZE_STATISTICS_DESCRIPTOR,
+    CUDNN_BACKEND_REDUCTION_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_REDUCTION_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_BN_BWD_WEIGHTS_DESCRIPTOR,
+    CUDNN_BACKEND_RESAMPLE_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_RESAMPLE_FWD_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_RESAMPLE_BWD_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_CONCAT_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_SIGNAL_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_NORM_FORWARD_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_NORM_BACKWARD_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_RESHAPE_DESCRIPTOR,
+    CUDNN_BACKEND_RNG_DESCRIPTOR,
+    CUDNN_BACKEND_OPERATION_RNG_DESCRIPTOR,
+} cudnnBackendDescriptorType_t;
+
+typedef enum {
+    CUDNN_NUMERICAL_NOTE_TENSOR_CORE = 0,
+    CUDNN_NUMERICAL_NOTE_DOWN_CONVERT_INPUTS,
+    CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION,
+    CUDNN_NUMERICAL_NOTE_FFT,
+    CUDNN_NUMERICAL_NOTE_NONDETERMINISTIC,
+    CUDNN_NUMERICAL_NOTE_WINOGRAD,
+    CUDNN_NUMERICAL_NOTE_WINOGRAD_TILE_4x4,
+    CUDNN_NUMERICAL_NOTE_WINOGRAD_TILE_6x6,
+    CUDNN_NUMERICAL_NOTE_WINOGRAD_TILE_13x13,
+    CUDNN_NUMERICAL_NOTE_STRICT_NAN_PROP,
+    CUDNN_NUMERICAL_NOTE_TYPE_COUNT,
+} cudnnBackendNumericalNote_t;
+
+typedef enum {
+    CUDNN_BEHAVIOR_NOTE_RUNTIME_COMPILATION             = 0,
+    CUDNN_BEHAVIOR_NOTE_REQUIRES_FILTER_INT8x32_REORDER = 1,
+    CUDNN_BEHAVIOR_NOTE_REQUIRES_BIAS_INT8x32_REORDER   = 2,
+    CUDNN_BEHAVIOR_NOTE_TYPE_COUNT,
+} cudnnBackendBehaviorNote_t;
+
+typedef enum {
+    CUDNN_KNOB_TYPE_SPLIT_K CUDNN_DEPRECATED_ENUM          = 0,
+    CUDNN_KNOB_TYPE_SWIZZLE                                = 1,
+    CUDNN_KNOB_TYPE_TILE_SIZE                              = 2,
+    CUDNN_KNOB_TYPE_USE_TEX CUDNN_DEPRECATED_ENUM          = 3,
+    CUDNN_KNOB_TYPE_EDGE                                   = 4,
+    CUDNN_KNOB_TYPE_KBLOCK CUDNN_DEPRECATED_ENUM           = 5,
+    CUDNN_KNOB_TYPE_LDGA CUDNN_DEPRECATED_ENUM             = 6,
+    CUDNN_KNOB_TYPE_LDGB CUDNN_DEPRECATED_ENUM             = 7,
+    CUDNN_KNOB_TYPE_CHUNK_K CUDNN_DEPRECATED_ENUM          = 8,
+    CUDNN_KNOB_TYPE_SPLIT_H CUDNN_DEPRECATED_ENUM          = 9,
+    CUDNN_KNOB_TYPE_WINO_TILE CUDNN_DEPRECATED_ENUM        = 10,
+    CUDNN_KNOB_TYPE_MULTIPLY                               = 11,
+    CUDNN_KNOB_TYPE_SPLIT_K_BUF                            = 12,
+    CUDNN_KNOB_TYPE_TILEK                                  = 13,
+    CUDNN_KNOB_TYPE_STAGES                                 = 14,
+    CUDNN_KNOB_TYPE_REDUCTION_MODE                         = 15,
+    CUDNN_KNOB_TYPE_CTA_SPLIT_K_MODE CUDNN_DEPRECATED_ENUM = 16,
+    CUDNN_KNOB_TYPE_SPLIT_K_SLC                            = 17,
+    CUDNN_KNOB_TYPE_IDX_MODE CUDNN_DEPRECATED_ENUM         = 18,
+    CUDNN_KNOB_TYPE_SLICED CUDNN_DEPRECATED_ENUM           = 19,
+    CUDNN_KNOB_TYPE_SPLIT_RS CUDNN_DEPRECATED_ENUM         = 20,
+    CUDNN_KNOB_TYPE_SINGLEBUFFER CUDNN_DEPRECATED_ENUM     = 21,
+    CUDNN_KNOB_TYPE_LDGC CUDNN_DEPRECATED_ENUM             = 22,
+    CUDNN_KNOB_TYPE_SPECFILT                               = 23,
+    CUDNN_KNOB_TYPE_KERNEL_CFG                             = 24,
+    CUDNN_KNOB_TYPE_WORKSPACE                              = 25,
+    CUDNN_KNOB_TYPE_TILE_CGA CUDNN_DEPRECATED_ENUM         = 26,
+    CUDNN_KNOB_TYPE_TILE_CGA_M                             = 27,
+    CUDNN_KNOB_TYPE_TILE_CGA_N                             = 28,
+    CUDNN_KNOB_TYPE_BLOCK_SIZE                             = 29,
+    CUDNN_KNOB_TYPE_OCCUPANCY                              = 30,
+    CUDNN_KNOB_TYPE_ARRAY_SIZE_PER_THREAD                  = 31,
+    CUDNN_KNOB_TYPE_NUM_C_PER_BLOCK CUDNN_DEPRECATED_ENUM  = 32,
+    CUDNN_KNOB_TYPE_SPLIT_COLS                             = 33,
+    CUDNN_KNOB_TYPE_TILE_ROWS                              = 34,
+    CUDNN_KNOB_TYPE_TILE_COLS                              = 35,
+    CUDNN_KNOB_TYPE_LOAD_SIZE                              = 36,
+    CUDNN_KNOB_TYPE_COUNTS,
+} cudnnBackendKnobType_t;
+
+typedef enum {
+    CUDNN_LAYOUT_TYPE_PREFERRED_NCHW   = 0,
+    CUDNN_LAYOUT_TYPE_PREFERRED_NHWC   = 1,
+    CUDNN_LAYOUT_TYPE_PREFERRED_PAD4CK = 2,
+    CUDNN_LAYOUT_TYPE_PREFERRED_PAD8CK = 3,
+    CUDNN_LAYOUT_TYPE_COUNT            = 4,
+} cudnnBackendLayoutType_t;
+
+typedef enum {
+    CUDNN_HEUR_MODE_INSTANT  = 0,
+    CUDNN_HEUR_MODE_B        = 1,
+    CUDNN_HEUR_MODE_FALLBACK = 2,
+    CUDNN_HEUR_MODE_A        = 3,
+    CUDNN_HEUR_MODES_COUNT   = 4,
+} cudnnBackendHeurMode_t;
+
+typedef enum {
+    CUDNN_TENSOR_REORDERING_NONE    = 0,
+    CUDNN_TENSOR_REORDERING_INT8x32 = 1,
+    CUDNN_TENSOR_REORDERING_F16x16  = 2,
+} cudnnBackendTensorReordering_t;
+
+typedef enum {
+    CUDNN_ZERO_PAD     = 0,
+    CUDNN_NEG_INF_PAD  = 1,
+    CUDNN_EDGE_VAL_PAD = 2,
+} cudnnPaddingMode_t;
+
+typedef enum {
+    CUDNN_LAYER_NORM    = 0,
+    CUDNN_INSTANCE_NORM = 1,
+    CUDNN_BATCH_NORM    = 2,
+    CUDNN_GROUP_NORM    = 3,
+    CUDNN_RMS_NORM      = 4,
+} cudnnBackendNormMode_t;
+
+typedef enum {
+    CUDNN_NORM_FWD_INFERENCE = 0,
+    CUDNN_NORM_FWD_TRAINING  = 1,
+} cudnnBackendNormFwdPhase_t;
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendCreateDescriptor(cudnnBackendDescriptorType_t descriptorType, cudnnBackendDescriptor_t *descriptor);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendDestroyDescriptor(cudnnBackendDescriptor_t descriptor);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendInitialize(cudnnBackendDescriptor_t descriptor);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendFinalize(cudnnBackendDescriptor_t descriptor);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendSetAttribute(cudnnBackendDescriptor_t descriptor,
+                         cudnnBackendAttributeName_t attributeName,
+                         cudnnBackendAttributeType_t attributeType,
+                         int64_t elementCount,
+                         const void *arrayOfElements);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendGetAttribute(cudnnBackendDescriptor_t const descriptor,
+                         cudnnBackendAttributeName_t attributeName,
+                         cudnnBackendAttributeType_t attributeType,
+                         int64_t requestedElementCount,
+                         int64_t *elementCount,
+                         void *arrayOfElements);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBackendExecute(cudnnHandle_t handle, cudnnBackendDescriptor_t executionPlan, cudnnBackendDescriptor_t variantPack);
+
+#if defined(__cplusplus)
+}
+#endif
+
+#endif /* CUDNN_GRAPH_H_ */

pllava/lib/python3.10/site-packages/nvidia/cudnn/include/cudnn_ops_train.h

@@ -0,0 +1,501 @@
+/*
+ * Copyright 2017-2022 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+/*
+ *  cudnn_ops_train : cuDNN's basic training operations and algorithms.
+ */
+
+#if !defined(CUDNN_OPS_TRAIN_H_)
+#define CUDNN_OPS_TRAIN_H_
+
+#include <cuda_runtime.h>
+#include <stdint.h>
+
+#include "cudnn_version.h"
+#include "cudnn_ops_infer.h"
+
+/* These version numbers are autogenerated, do not edit manually. */
+#define CUDNN_OPS_TRAIN_MAJOR 8
+#define CUDNN_OPS_TRAIN_MINOR 7
+#define CUDNN_OPS_TRAIN_PATCH 0
+
+#if (CUDNN_OPS_TRAIN_MAJOR != CUDNN_MAJOR) || (CUDNN_OPS_TRAIN_MINOR != CUDNN_MINOR) || \
+    (CUDNN_OPS_TRAIN_PATCH != CUDNN_PATCHLEVEL)
+#error Version mismatch in cuDNN OPS TRAIN!!!
+#endif
+
+#if defined(__cplusplus)
+extern "C" {
+#endif
+
+/* Function to perform backward softmax */
+cudnnStatus_t CUDNNWINAPI
+cudnnSoftmaxBackward(cudnnHandle_t handle,
+                     cudnnSoftmaxAlgorithm_t algo,
+                     cudnnSoftmaxMode_t mode,
+                     const void *alpha,
+                     const cudnnTensorDescriptor_t yDesc,
+                     const void *y,
+                     const cudnnTensorDescriptor_t dyDesc,
+                     const void *dy,
+                     const void *beta,
+                     const cudnnTensorDescriptor_t dxDesc,
+                     void *dx);
+
+/* Function to perform backward pooling */
+cudnnStatus_t CUDNNWINAPI
+cudnnPoolingBackward(cudnnHandle_t handle,
+                     const cudnnPoolingDescriptor_t poolingDesc,
+                     const void *alpha,
+                     const cudnnTensorDescriptor_t yDesc,
+                     const void *y,
+                     const cudnnTensorDescriptor_t dyDesc,
+                     const void *dy,
+                     const cudnnTensorDescriptor_t xDesc,
+                     const void *x,
+                     const void *beta,
+                     const cudnnTensorDescriptor_t dxDesc,
+                     void *dx);
+
+/* Function to perform backward activation  */
+cudnnStatus_t CUDNNWINAPI
+cudnnActivationBackward(cudnnHandle_t handle,
+                        cudnnActivationDescriptor_t activationDesc,
+                        const void *alpha,
+                        const cudnnTensorDescriptor_t yDesc,
+                        const void *y,
+                        const cudnnTensorDescriptor_t dyDesc,
+                        const void *dy,
+                        const cudnnTensorDescriptor_t xDesc,
+                        const void *x,
+                        const void *beta,
+                        const cudnnTensorDescriptor_t dxDesc,
+                        void *dx);
+
+/* LRN cross-channel backward computation. Double parameters cast to tensor data type */
+cudnnStatus_t CUDNNWINAPI
+cudnnLRNCrossChannelBackward(cudnnHandle_t handle,
+                             cudnnLRNDescriptor_t normDesc,
+                             cudnnLRNMode_t lrnMode,
+                             const void *alpha,
+                             const cudnnTensorDescriptor_t yDesc,
+                             const void *y,
+                             const cudnnTensorDescriptor_t dyDesc,
+                             const void *dy,
+                             const cudnnTensorDescriptor_t xDesc,
+                             const void *x,
+                             const void *beta,
+                             const cudnnTensorDescriptor_t dxDesc,
+                             void *dx);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDivisiveNormalizationBackward(cudnnHandle_t handle,
+                                   cudnnLRNDescriptor_t normDesc,
+                                   cudnnDivNormMode_t mode,
+                                   const void *alpha,
+                                   const cudnnTensorDescriptor_t xDesc, /* same desc for x, means, dy, temp, temp2 */
+                                   const void *x,
+                                   const void *means, /* if NULL, means are assumed to be zero */
+                                   const void *dy,
+                                   void *temp,
+                                   void *temp2,
+                                   const void *beta,
+                                   const cudnnTensorDescriptor_t dXdMeansDesc, /* same desc for dx, dMeans */
+                                   void *dx,                                   /* output x differential */
+                                   void *dMeans); /* output means differential, can be NULL */
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetBatchNormalizationForwardTrainingExWorkspaceSize(cudnnHandle_t handle,
+                                                         cudnnBatchNormMode_t mode,
+                                                         cudnnBatchNormOps_t bnOps,
+                                                         const cudnnTensorDescriptor_t xDesc,
+                                                         const cudnnTensorDescriptor_t zDesc,
+                                                         const cudnnTensorDescriptor_t yDesc,
+                                                         const cudnnTensorDescriptor_t bnScaleBiasMeanVarDesc,
+                                                         const cudnnActivationDescriptor_t activationDesc,
+                                                         size_t *sizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetBatchNormalizationBackwardExWorkspaceSize(cudnnHandle_t handle,
+                                                  cudnnBatchNormMode_t mode,
+                                                  cudnnBatchNormOps_t bnOps,
+                                                  const cudnnTensorDescriptor_t xDesc,
+                                                  const cudnnTensorDescriptor_t yDesc,
+                                                  const cudnnTensorDescriptor_t dyDesc,
+                                                  const cudnnTensorDescriptor_t dzDesc,
+                                                  const cudnnTensorDescriptor_t dxDesc,
+                                                  const cudnnTensorDescriptor_t dBnScaleBiasDesc,
+                                                  const cudnnActivationDescriptor_t activationDesc,
+                                                  size_t *sizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetBatchNormalizationTrainingExReserveSpaceSize(cudnnHandle_t handle,
+                                                     cudnnBatchNormMode_t mode,
+                                                     cudnnBatchNormOps_t bnOps,
+                                                     const cudnnActivationDescriptor_t activationDesc,
+                                                     const cudnnTensorDescriptor_t xDesc,
+                                                     size_t *sizeInBytes);
+
+/* Computes y = BN(x). Also accumulates moving averages of mean and inverse variances */
+cudnnStatus_t CUDNNWINAPI
+cudnnBatchNormalizationForwardTraining(
+    cudnnHandle_t handle,
+    cudnnBatchNormMode_t mode,
+
+    const void *alpha, /* alpha[0] = result blend factor */
+    const void *beta,  /* beta[0] = dest layer blend factor */
+
+    const cudnnTensorDescriptor_t xDesc,
+    const void *x, /* NxCxHxW */
+    const cudnnTensorDescriptor_t yDesc,
+    void *y, /* NxCxHxW */
+
+    /* Shared desc for the next 6 tensors in the argument list.
+       Data type to be set as follows:
+       type = (typeOf(x) == double) ? double : float
+       Dimensions for this descriptor depend on normalization mode
+       - Spatial Normalization : tensors are expected to have dims 1xCx1x1
+        (normalization is performed across NxHxW)
+       - Per-Activation Normalization : tensors are expected to have dims of 1xCxHxW
+        (normalization is performed across N) */
+    const cudnnTensorDescriptor_t bnScaleBiasMeanVarDesc,
+
+    /* 'Gamma' and 'Beta' respectively in Ioffe and Szegedy's paper's notation */
+    const void *bnScale,
+    const void *bnBias,
+
+    /* MUST use factor=1 in the very first call of a complete training cycle.
+       Use a factor=1/(1+n) at N-th call to the function to get
+       Cumulative Moving Average (CMA) behavior
+       CMA[n] = (x[1]+...+x[n])/n
+       Since CMA[n+1] = (n*CMA[n]+x[n+1])/(n+1) =
+       ((n+1)*CMA[n]-CMA[n])/(n+1) + x[n+1]/(n+1) =
+       CMA[n]*(1-1/(n+1)) + x[n+1]*1/(n+1) */
+    double exponentialAverageFactor,
+
+    /* Used in Training phase only.
+       runningMean = newMean*factor + runningMean*(1-factor) */
+    void *resultRunningMean,
+    /* Output in training mode, input in inference. Is the moving average
+       of  variance[x] (factor is applied in the same way as for runningMean) */
+    void *resultRunningVariance,
+
+    /* Has to be >= CUDNN_BN_MIN_EPSILON. Should be the same in forward and backward functions. */
+    double epsilon,
+
+    /* Optionally save intermediate results from the forward pass here
+       - can be reused to speed up backward pass. NULL if unused */
+    void *resultSaveMean,
+    void *resultSaveInvVariance);
+
+/* Computes y = relu(BN(x) + z). Also accumulates moving averages of mean and inverse variances */
+cudnnStatus_t CUDNNWINAPI
+cudnnBatchNormalizationForwardTrainingEx(
+    cudnnHandle_t handle,
+    cudnnBatchNormMode_t mode,
+    cudnnBatchNormOps_t bnOps,
+
+    const void *alpha, /* alpha[0] = result blend factor */
+    const void *beta,  /* beta[0] = dest layer blend factor */
+
+    const cudnnTensorDescriptor_t xDesc,
+    const void *xData,
+    const cudnnTensorDescriptor_t zDesc,
+    const void *zData,
+    const cudnnTensorDescriptor_t yDesc,
+    void *yData,
+
+    const cudnnTensorDescriptor_t bnScaleBiasMeanVarDesc,
+    const void *bnScale,
+    const void *bnBias,
+
+    double exponentialAverageFactor,
+    void *resultRunningMean,
+    void *resultRunningVariance,
+
+    /* Has to be >= CUDNN_BN_MIN_EPSILON. Should be the same in forward and backward functions. */
+    double epsilon,
+
+    /* Optionally save intermediate results from the forward pass here
+       - can be reused to speed up backward pass. NULL if unused */
+    void *resultSaveMean,
+    void *resultSaveInvVariance,
+
+    cudnnActivationDescriptor_t activationDesc,
+    void *workspace,
+    size_t workSpaceSizeInBytes,
+    void *reserveSpace,
+    size_t reserveSpaceSizeInBytes);
+
+/* Performs backward pass of Batch Normalization layer. Returns x gradient,
+* bnScale gradient and bnBias gradient */
+cudnnStatus_t CUDNNWINAPI
+cudnnBatchNormalizationBackward(cudnnHandle_t handle,
+                                cudnnBatchNormMode_t mode,
+                                const void *alphaDataDiff,
+                                const void *betaDataDiff,
+                                const void *alphaParamDiff,
+                                const void *betaParamDiff,
+                                const cudnnTensorDescriptor_t xDesc, /* same desc for x, dx, dy */
+                                const void *x,
+                                const cudnnTensorDescriptor_t dyDesc,
+                                const void *dy,
+                                const cudnnTensorDescriptor_t dxDesc,
+                                void *dx,
+                                /* Shared tensor desc for the 4 tensors below */
+                                const cudnnTensorDescriptor_t dBnScaleBiasDesc,
+                                const void *bnScale, /* bnBias doesn't affect backpropagation */
+                                /* scale and bias diff are not backpropagated below this layer */
+                                void *dBnScaleResult,
+                                void *dBnBiasResult,
+                                /* Same epsilon as forward pass */
+                                double epsilon,
+
+                                /* Optionally cached intermediate results from
+                                   forward pass */
+                                const void *savedMean,
+                                const void *savedInvVariance);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnBatchNormalizationBackwardEx(cudnnHandle_t handle,
+                                  cudnnBatchNormMode_t mode,
+                                  cudnnBatchNormOps_t bnOps,
+
+                                  const void *alphaDataDiff,
+                                  const void *betaDataDiff,
+                                  const void *alphaParamDiff,
+                                  const void *betaParamDiff,
+                                  const cudnnTensorDescriptor_t xDesc,
+                                  const void *xData,
+                                  const cudnnTensorDescriptor_t yDesc,
+                                  const void *yData,
+                                  const cudnnTensorDescriptor_t dyDesc,
+                                  const void *dyData,
+                                  const cudnnTensorDescriptor_t dzDesc,
+                                  void *dzData,
+                                  const cudnnTensorDescriptor_t dxDesc,
+                                  void *dxData,
+
+                                  /* Shared tensor desc for the 4 tensors below */
+                                  const cudnnTensorDescriptor_t dBnScaleBiasDesc,
+                                  const void *bnScaleData,
+                                  const void *bnBiasData, /* needed if there is activation */
+                                  void *dBnScaleData,
+                                  void *dBnBiasData,
+                                  double epsilon, /* Same epsilon as forward pass */
+
+                                  /* Optionally cached intermediate results from
+                                     forward pass */
+                                  const void *savedMean,
+                                  const void *savedInvVariance,
+                                  cudnnActivationDescriptor_t activationDesc,
+                                  void *workSpace,
+                                  size_t workSpaceSizeInBytes,
+                                  void *reserveSpace,
+                                  size_t reserveSpaceSizeInBytes);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetNormalizationForwardTrainingWorkspaceSize(cudnnHandle_t handle,
+                                                  cudnnNormMode_t mode,
+                                                  cudnnNormOps_t normOps,
+                                                  cudnnNormAlgo_t algo,
+                                                  const cudnnTensorDescriptor_t xDesc,
+                                                  const cudnnTensorDescriptor_t zDesc,
+                                                  const cudnnTensorDescriptor_t yDesc,
+                                                  const cudnnTensorDescriptor_t normScaleBiasDesc,
+                                                  const cudnnActivationDescriptor_t activationDesc,
+                                                  const cudnnTensorDescriptor_t normMeanVarDesc,
+                                                  size_t *sizeInBytes,
+                                                  int groupCnt); /* Place hold for future work, should be set to 1 now*/
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetNormalizationBackwardWorkspaceSize(cudnnHandle_t handle,
+                                           cudnnNormMode_t mode,
+                                           cudnnNormOps_t normOps,
+                                           cudnnNormAlgo_t algo,
+                                           const cudnnTensorDescriptor_t xDesc,
+                                           const cudnnTensorDescriptor_t yDesc,
+                                           const cudnnTensorDescriptor_t dyDesc,
+                                           const cudnnTensorDescriptor_t dzDesc,
+                                           const cudnnTensorDescriptor_t dxDesc,
+                                           const cudnnTensorDescriptor_t dNormScaleBiasDesc,
+                                           const cudnnActivationDescriptor_t activationDesc,
+                                           const cudnnTensorDescriptor_t normMeanVarDesc,
+                                           size_t *sizeInBytes,
+                                           int groupCnt); /* Place hold for future work, should be set to 1 now*/
+
+cudnnStatus_t CUDNNWINAPI
+cudnnGetNormalizationTrainingReserveSpaceSize(cudnnHandle_t handle,
+                                              cudnnNormMode_t mode,
+                                              cudnnNormOps_t normOps,
+                                              cudnnNormAlgo_t algo,
+                                              const cudnnActivationDescriptor_t activationDesc,
+                                              const cudnnTensorDescriptor_t xDesc,
+                                              size_t *sizeInBytes,
+                                              int groupCnt); /* Place hold for future work, should be set to 1 now*/
+
+/* Computes y = relu(Norm(x) + z). Also accumulates moving averages of mean and inverse variances */
+cudnnStatus_t CUDNNWINAPI
+cudnnNormalizationForwardTraining(cudnnHandle_t handle,
+                                  cudnnNormMode_t mode,
+                                  cudnnNormOps_t normOps,
+                                  cudnnNormAlgo_t algo,
+                                  const void *alpha, /* alpha[0] = result blend factor */
+                                  const void *beta,  /* beta[0] = dest layer blend factor */
+                                  const cudnnTensorDescriptor_t xDesc,
+                                  const void *xData,
+                                  const cudnnTensorDescriptor_t normScaleBiasDesc,
+                                  const void *normScale,
+                                  const void *normBias,
+                                  double exponentialAverageFactor,
+                                  const cudnnTensorDescriptor_t normMeanVarDesc,
+                                  void *resultRunningMean,
+                                  void *resultRunningVariance,
+                                  /* Has to be >= 0. Should be the same in forward and backward functions. */
+                                  double epsilon,
+                                  /* Optionally save intermediate results from the forward pass here
+                                     - can be reused to speed up backward pass. NULL if unused */
+                                  void *resultSaveMean,
+                                  void *resultSaveInvVariance,
+                                  cudnnActivationDescriptor_t activationDesc,
+                                  const cudnnTensorDescriptor_t zDesc,
+                                  const void *zData,
+                                  const cudnnTensorDescriptor_t yDesc,
+                                  void *yData,
+                                  void *workspace,
+                                  size_t workSpaceSizeInBytes,
+                                  void *reserveSpace,
+                                  size_t reserveSpaceSizeInBytes,
+                                  int groupCnt); /* Place hold for future work, should be set to 1 now*/
+
+cudnnStatus_t CUDNNWINAPI
+cudnnNormalizationBackward(cudnnHandle_t handle,
+                           cudnnNormMode_t mode,
+                           cudnnNormOps_t normOps,
+                           cudnnNormAlgo_t algo,
+                           const void *alphaDataDiff,
+                           const void *betaDataDiff,
+                           const void *alphaParamDiff,
+                           const void *betaParamDiff,
+                           const cudnnTensorDescriptor_t xDesc,
+                           const void *xData,
+                           const cudnnTensorDescriptor_t yDesc,
+                           const void *yData,
+                           const cudnnTensorDescriptor_t dyDesc,
+                           const void *dyData,
+                           const cudnnTensorDescriptor_t dzDesc,
+                           void *dzData,
+                           const cudnnTensorDescriptor_t dxDesc,
+                           void *dxData,
+                           /* Shared tensor desc for the 4 tensors below */
+                           const cudnnTensorDescriptor_t dNormScaleBiasDesc,
+                           const void *normScaleData,
+                           const void *normBiasData, /* needed if there is activation */
+                           void *dNormScaleData,
+                           void *dNormBiasData,
+                           double epsilon, /* Same epsilon as forward pass */
+                           const cudnnTensorDescriptor_t normMeanVarDesc,
+                           /* Optionally cached intermediate results from
+                              forward pass */
+                           const void *savedMean,
+                           const void *savedInvVariance,
+                           cudnnActivationDescriptor_t activationDesc,
+                           void *workSpace,
+                           size_t workSpaceSizeInBytes,
+                           void *reserveSpace,
+                           size_t reserveSpaceSizeInBytes,
+                           int groupCnt); /* Place hold for future work, should be set to 1 now*/
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSpatialTfGridGeneratorBackward(cudnnHandle_t handle,
+                                    const cudnnSpatialTransformerDescriptor_t stDesc,
+                                    const void *dgrid,
+                                    void *dtheta);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnSpatialTfSamplerBackward(cudnnHandle_t handle,
+                              cudnnSpatialTransformerDescriptor_t stDesc,
+                              const void *alpha,
+                              const cudnnTensorDescriptor_t xDesc,
+                              const void *x,
+                              const void *beta,
+                              const cudnnTensorDescriptor_t dxDesc,
+                              void *dx,
+                              const void *alphaDgrid,
+                              const cudnnTensorDescriptor_t dyDesc,
+                              const void *dy,
+                              const void *grid,
+                              const void *betaDgrid,
+                              void *dgrid);
+
+cudnnStatus_t CUDNNWINAPI
+cudnnDropoutBackward(cudnnHandle_t handle,
+                     const cudnnDropoutDescriptor_t dropoutDesc,
+                     const cudnnTensorDescriptor_t dydesc,
+                     const void *dy,
+                     const cudnnTensorDescriptor_t dxdesc,
+                     void *dx,
+                     void *reserveSpace,
+                     size_t reserveSpaceSizeInBytes);
+
+/*
+ * \brief Cross-library version checker.
+ * This function is implemented differently in each sub-library. Each sublib
+ * checks whether its own version matches that of its dependencies.
+ * \returns CUDNN_STATUS_SUCCESS if the version check passes,
+ *          CUDNN_STATUS_VERSION_MISMATCH if the versions are inconsistent.
+ */
+cudnnStatus_t CUDNNWINAPI
+cudnnOpsTrainVersionCheck(void);
+
+#if defined(__cplusplus)
+}
+#endif
+
+#endif /* CUDNN_OPS_TRAIN_H_ */

pllava/lib/python3.10/site-packages/nvidia/cudnn/include/cudnn_version_v8.h

@@ -0,0 +1,70 @@
+/*
+ * Copyright 2017-2022 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+/**
+ * \file: The master cuDNN version file.
+ */
+
+#ifndef CUDNN_VERSION_H_
+#define CUDNN_VERSION_H_
+
+#define CUDNN_MAJOR 8
+#define CUDNN_MINOR 7
+#define CUDNN_PATCHLEVEL 0
+
+#define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)
+
+/* cannot use constexpr here since this is a C-only file */
+/* Below is the max SM version this cuDNN library is aware of and supports natively */
+
+#define CUDNN_MAX_SM_MAJOR_NUMBER 9
+#define CUDNN_MAX_SM_MINOR_NUMBER 0
+#define CUDNN_MAX_DEVICE_VERSION (CUDNN_MAX_SM_MAJOR_NUMBER * 100) + (CUDNN_MAX_SM_MINOR_NUMBER * 10)
+
+#endif /* CUDNN_VERSION_H */

pllava/lib/python3.10/site-packages/nvidia/cudnn/include/cudnn_version_v9.h

@@ -0,0 +1,70 @@
+/*
+ * Copyright 2014-2023 NVIDIA Corporation.  All rights reserved.
+ *
+ * NOTICE TO LICENSEE:
+ *
+ * This source code and/or documentation ("Licensed Deliverables") are
+ * subject to NVIDIA intellectual property rights under U.S. and
+ * international Copyright laws.
+ *
+ * These Licensed Deliverables contained herein is PROPRIETARY and
+ * CONFIDENTIAL to NVIDIA and is being provided under the terms and
+ * conditions of a form of NVIDIA software license agreement by and
+ * between NVIDIA and Licensee ("License Agreement") or electronically
+ * accepted by Licensee.  Notwithstanding any terms or conditions to
+ * the contrary in the License Agreement, reproduction or disclosure
+ * of the Licensed Deliverables to any third party without the express
+ * written consent of NVIDIA is prohibited.
+ *
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+ * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
+ * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+ * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+ * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+ * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+ * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+ * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+ * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+ * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+ * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+ * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+ * OF THESE LICENSED DELIVERABLES.
+ *
+ * U.S. Government End Users.  These Licensed Deliverables are a
+ * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+ * 1995), consisting of "commercial computer software" and "commercial
+ * computer software documentation" as such terms are used in 48
+ * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
+ * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+ * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+ * U.S. Government End Users acquire the Licensed Deliverables with
+ * only those rights set forth herein.
+ *
+ * Any use of the Licensed Deliverables in individual and commercial
+ * software must include, in the user documentation and internal
+ * comments to the code, the above Disclaimer and U.S. Government End
+ * Users Notice.
+ */
+
+/**
+ * \file: The master cuDNN version file.
+ */
+
+#ifndef CUDNN_VERSION_H_
+#define CUDNN_VERSION_H_
+
+#define CUDNN_MAJOR 9
+#define CUDNN_MINOR 1
+#define CUDNN_PATCHLEVEL 0
+
+#define CUDNN_VERSION (CUDNN_MAJOR * 10000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)
+
+/* cannot use constexpr here since this is a C-only file */
+/* Below is the max SM version this cuDNN library is aware of and supports natively */
+
+#define CUDNN_MAX_SM_MAJOR_NUMBER 9
+#define CUDNN_MAX_SM_MINOR_NUMBER 0
+#define CUDNN_MAX_DEVICE_VERSION (CUDNN_MAX_SM_MAJOR_NUMBER * 100 + CUDNN_MAX_SM_MINOR_NUMBER * 10)
+
+#endif /* CUDNN_VERSION_H */

pllava/lib/python3.10/site-packages/nvidia/cufft/include/cudalibxt.h

@@ -0,0 +1,97 @@
+ /* Copyright 2013,2014 NVIDIA Corporation.  All rights reserved.
+  *
+  * NOTICE TO LICENSEE:
+  *
+  * The source code and/or documentation ("Licensed Deliverables") are
+  * subject to NVIDIA intellectual property rights under U.S. and
+  * international Copyright laws.
+  *
+  * The Licensed Deliverables contained herein are PROPRIETARY and
+  * CONFIDENTIAL to NVIDIA and are being provided under the terms and
+  * conditions of a form of NVIDIA software license agreement by and
+  * between NVIDIA and Licensee ("License Agreement") or electronically
+  * accepted by Licensee.  Notwithstanding any terms or conditions to
+  * the contrary in the License Agreement, reproduction or disclosure
+  * of the Licensed Deliverables to any third party without the express
+  * written consent of NVIDIA is prohibited.
+  *
+  * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+  * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+  * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  THEY ARE
+  * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+  * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+  * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+  * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+  * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+  * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+  * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+  * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+  * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+  * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+  * OF THESE LICENSED DELIVERABLES.
+  *
+  * U.S. Government End Users.  These Licensed Deliverables are a
+  * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+  * 1995), consisting of "commercial computer software" and "commercial
+  * computer software documentation" as such terms are used in 48
+  * C.F.R. 12.212 (SEPT 1995) and are provided to the U.S. Government
+  * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+  * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+  * U.S. Government End Users acquire the Licensed Deliverables with
+  * only those rights set forth herein.
+  *
+  * Any use of the Licensed Deliverables in individual and commercial
+  * software must include, in the user documentation and internal
+  * comments to the code, the above Disclaimer and U.S. Government End
+  * Users Notice.
+  */
+
+/*!
+* \file cudalibxt.h  
+* \brief Public header file for the NVIDIA library multi-GPU support structures  
+*/ 
+
+#ifndef _CUDA_LIB_XT_H_
+#define _CUDA_LIB_XT_H_
+#include <cuda_runtime.h>
+
+#define CUDA_XT_DESCRIPTOR_VERSION 0x01000000 // This is added to CUDART_VERSION
+
+enum cudaXtCopyType_t {
+    LIB_XT_COPY_HOST_TO_DEVICE,
+    LIB_XT_COPY_DEVICE_TO_HOST,
+    LIB_XT_COPY_DEVICE_TO_DEVICE
+} ;
+typedef enum cudaXtCopyType_t cudaLibXtCopyType;
+
+enum libFormat_t {
+    LIB_FORMAT_CUFFT        = 0x0,
+    LIB_FORMAT_UNDEFINED    = 0x1
+};
+
+typedef enum libFormat_t libFormat;
+
+#define MAX_CUDA_DESCRIPTOR_GPUS 64
+
+struct cudaXtDesc_t{
+    int version;                             //descriptor version
+    int nGPUs;                               //number of GPUs 
+    int GPUs[MAX_CUDA_DESCRIPTOR_GPUS];      //array of device IDs
+    void *data[MAX_CUDA_DESCRIPTOR_GPUS];    //array of pointers to data, one per GPU
+    size_t size[MAX_CUDA_DESCRIPTOR_GPUS];   //array of data sizes, one per GPU
+    void *cudaXtState;                       //opaque CUDA utility structure
+};
+typedef struct cudaXtDesc_t cudaXtDesc;
+
+struct cudaLibXtDesc_t{
+    int version;                //descriptor version
+    cudaXtDesc *descriptor;     //multi-GPU memory descriptor
+    libFormat library;          //which library recognizes the format
+    int subFormat;              //library specific enumerator of sub formats
+    void *libDescriptor;        //library specific descriptor e.g. FFT transform plan object
+};
+typedef struct cudaLibXtDesc_t cudaLibXtDesc;
+
+
+#endif
+

pllava/lib/python3.10/site-packages/nvidia/cufft/include/cufft.h

@@ -0,0 +1,322 @@
+ /* Copyright 2005-2021 NVIDIA Corporation.  All rights reserved.
+  *
+  * NOTICE TO LICENSEE:
+  *
+  * The source code and/or documentation ("Licensed Deliverables") are
+  * subject to NVIDIA intellectual property rights under U.S. and
+  * international Copyright laws.
+  *
+  * The Licensed Deliverables contained herein are PROPRIETARY and
+  * CONFIDENTIAL to NVIDIA and are being provided under the terms and
+  * conditions of a form of NVIDIA software license agreement by and
+  * between NVIDIA and Licensee ("License Agreement") or electronically
+  * accepted by Licensee.  Notwithstanding any terms or conditions to
+  * the contrary in the License Agreement, reproduction or disclosure
+  * of the Licensed Deliverables to any third party without the express
+  * written consent of NVIDIA is prohibited.
+  *
+  * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+  * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+  * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  THEY ARE
+  * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+  * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+  * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+  * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+  * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+  * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+  * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+  * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+  * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+  * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+  * OF THESE LICENSED DELIVERABLES.
+  *
+  * U.S. Government End Users.  These Licensed Deliverables are a
+  * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+  * 1995), consisting of "commercial computer software" and "commercial
+  * computer software documentation" as such terms are used in 48
+  * C.F.R. 12.212 (SEPT 1995) and are provided to the U.S. Government
+  * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+  * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+  * U.S. Government End Users acquire the Licensed Deliverables with
+  * only those rights set forth herein.
+  *
+  * Any use of the Licensed Deliverables in individual and commercial
+  * software must include, in the user documentation and internal
+  * comments to the code, the above Disclaimer and U.S. Government End
+  * Users Notice.
+  */
+
+/*!
+* \file cufft.h
+* \brief Public header file for the NVIDIA CUDA FFT library (CUFFT)
+*/
+
+#ifndef _CUFFT_H_
+#define _CUFFT_H_
+
+
+#include "cuComplex.h"
+#include "driver_types.h"
+#include "library_types.h"
+
+#ifndef CUFFTAPI
+#ifdef _WIN32
+#define CUFFTAPI __stdcall
+#elif __GNUC__ >= 4
+#define CUFFTAPI __attribute__ ((visibility ("default")))
+#else
+#define CUFFTAPI
+#endif
+#endif
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+#define CUFFT_VER_MAJOR 10
+#define CUFFT_VER_MINOR 9
+#define CUFFT_VER_PATCH 0
+#define CUFFT_VER_BUILD 58
+
+// cuFFT library version
+//
+// CUFFT_VERSION / 1000 - major version
+// CUFFT_VERSION / 100 % 100 - minor version
+// CUFFT_VERSION % 100 - patch level
+#define CUFFT_VERSION 10900
+
+// CUFFT API function return values
+typedef enum cufftResult_t {
+  CUFFT_SUCCESS        = 0x0,
+  CUFFT_INVALID_PLAN   = 0x1,
+  CUFFT_ALLOC_FAILED   = 0x2,
+  CUFFT_INVALID_TYPE   = 0x3,
+  CUFFT_INVALID_VALUE  = 0x4,
+  CUFFT_INTERNAL_ERROR = 0x5,
+  CUFFT_EXEC_FAILED    = 0x6,
+  CUFFT_SETUP_FAILED   = 0x7,
+  CUFFT_INVALID_SIZE   = 0x8,
+  CUFFT_UNALIGNED_DATA = 0x9,
+  CUFFT_INCOMPLETE_PARAMETER_LIST = 0xA,
+  CUFFT_INVALID_DEVICE = 0xB,
+  CUFFT_PARSE_ERROR = 0xC,
+  CUFFT_NO_WORKSPACE = 0xD,
+  CUFFT_NOT_IMPLEMENTED = 0xE,
+  CUFFT_LICENSE_ERROR = 0x0F,
+  CUFFT_NOT_SUPPORTED = 0x10
+
+} cufftResult;
+
+#define MAX_CUFFT_ERROR 0x11
+
+
+// CUFFT defines and supports the following data types
+
+
+// cufftReal is a single-precision, floating-point real data type.
+// cufftDoubleReal is a double-precision, real data type.
+typedef float cufftReal;
+typedef double cufftDoubleReal;
+
+// cufftComplex is a single-precision, floating-point complex data type that
+// consists of interleaved real and imaginary components.
+// cufftDoubleComplex is the double-precision equivalent.
+typedef cuComplex cufftComplex;
+typedef cuDoubleComplex cufftDoubleComplex;
+
+// CUFFT transform directions
+#define CUFFT_FORWARD -1 // Forward FFT
+#define CUFFT_INVERSE  1 // Inverse FFT
+
+// CUFFT supports the following transform types
+typedef enum cufftType_t {
+  CUFFT_R2C = 0x2a,     // Real to Complex (interleaved)
+  CUFFT_C2R = 0x2c,     // Complex (interleaved) to Real
+  CUFFT_C2C = 0x29,     // Complex to Complex, interleaved
+  CUFFT_D2Z = 0x6a,     // Double to Double-Complex
+  CUFFT_Z2D = 0x6c,     // Double-Complex to Double
+  CUFFT_Z2Z = 0x69      // Double-Complex to Double-Complex
+} cufftType;
+
+// CUFFT supports the following data layouts
+typedef enum cufftCompatibility_t {
+    CUFFT_COMPATIBILITY_FFTW_PADDING    = 0x01    // The default value
+} cufftCompatibility;
+
+#define CUFFT_COMPATIBILITY_DEFAULT   CUFFT_COMPATIBILITY_FFTW_PADDING
+
+//
+// structure definition used by the shim between old and new APIs
+//
+#define MAX_SHIM_RANK 3
+
+// cufftHandle is a handle type used to store and access CUFFT plans.
+typedef int cufftHandle;
+
+
+cufftResult CUFFTAPI cufftPlan1d(cufftHandle *plan,
+                                 int nx,
+                                 cufftType type,
+                                 int batch);
+
+cufftResult CUFFTAPI cufftPlan2d(cufftHandle *plan,
+                                 int nx, int ny,
+                                 cufftType type);
+
+cufftResult CUFFTAPI cufftPlan3d(cufftHandle *plan,
+                                 int nx, int ny, int nz,
+                                 cufftType type);
+
+cufftResult CUFFTAPI cufftPlanMany(cufftHandle *plan,
+                                   int rank,
+                                   int *n,
+                                   int *inembed, int istride, int idist,
+                                   int *onembed, int ostride, int odist,
+                                   cufftType type,
+                                   int batch);
+
+cufftResult CUFFTAPI cufftMakePlan1d(cufftHandle plan,
+                                     int nx,
+                                     cufftType type,
+                                     int batch,
+                                     size_t *workSize);
+
+cufftResult CUFFTAPI cufftMakePlan2d(cufftHandle plan,
+                                     int nx, int ny,
+                                     cufftType type,
+                                     size_t *workSize);
+
+cufftResult CUFFTAPI cufftMakePlan3d(cufftHandle plan,
+                                     int nx, int ny, int nz,
+                                     cufftType type,
+                                     size_t *workSize);
+
+cufftResult CUFFTAPI cufftMakePlanMany(cufftHandle plan,
+                                       int rank,
+                                       int *n,
+                                       int *inembed, int istride, int idist,
+                                       int *onembed, int ostride, int odist,
+                                       cufftType type,
+                                       int batch,
+                                       size_t *workSize);
+
+cufftResult CUFFTAPI cufftMakePlanMany64(cufftHandle plan,
+                                         int rank,
+                                         long long int *n,
+                                         long long int *inembed,
+                                         long long int istride,
+                                         long long int idist,
+                                         long long int *onembed,
+                                         long long int ostride, long long int odist,
+                                         cufftType type,
+                                         long long int batch,
+                                         size_t * workSize);
+
+cufftResult CUFFTAPI cufftGetSizeMany64(cufftHandle plan,
+                                        int rank,
+                                        long long int *n,
+                                        long long int *inembed,
+                                        long long int istride, long long int idist,
+                                        long long int *onembed,
+                                        long long int ostride, long long int odist,
+                                        cufftType type,
+                                        long long int batch,
+                                        size_t *workSize);
+
+
+
+
+cufftResult CUFFTAPI cufftEstimate1d(int nx,
+                                     cufftType type,
+                                     int batch,
+                                     size_t *workSize);
+
+cufftResult CUFFTAPI cufftEstimate2d(int nx, int ny,
+                                     cufftType type,
+                                     size_t *workSize);
+
+cufftResult CUFFTAPI cufftEstimate3d(int nx, int ny, int nz,
+                                     cufftType type,
+                                     size_t *workSize);
+
+cufftResult CUFFTAPI cufftEstimateMany(int rank,
+                                       int *n,
+                                       int *inembed, int istride, int idist,
+                                       int *onembed, int ostride, int odist,
+                                       cufftType type,
+                                       int batch,
+                                       size_t *workSize);
+
+cufftResult CUFFTAPI cufftCreate(cufftHandle * handle);
+
+cufftResult CUFFTAPI cufftGetSize1d(cufftHandle handle,
+                                    int nx,
+                                    cufftType type,
+                                    int batch,
+                                    size_t *workSize );
+
+cufftResult CUFFTAPI cufftGetSize2d(cufftHandle handle,
+                                    int nx, int ny,
+                                    cufftType type,
+                                    size_t *workSize);
+
+cufftResult CUFFTAPI cufftGetSize3d(cufftHandle handle,
+                                    int nx, int ny, int nz,
+                                    cufftType type,
+                                    size_t *workSize);
+
+cufftResult CUFFTAPI cufftGetSizeMany(cufftHandle handle,
+                                      int rank, int *n,
+                                      int *inembed, int istride, int idist,
+                                      int *onembed, int ostride, int odist,
+                                      cufftType type, int batch, size_t *workArea);
+
+cufftResult CUFFTAPI cufftGetSize(cufftHandle handle, size_t *workSize);
+
+cufftResult CUFFTAPI cufftSetWorkArea(cufftHandle plan, void *workArea);
+
+cufftResult CUFFTAPI cufftSetAutoAllocation(cufftHandle plan, int autoAllocate);
+
+cufftResult CUFFTAPI cufftExecC2C(cufftHandle plan,
+                                  cufftComplex *idata,
+                                  cufftComplex *odata,
+                                  int direction);
+
+cufftResult CUFFTAPI cufftExecR2C(cufftHandle plan,
+                                  cufftReal *idata,
+                                  cufftComplex *odata);
+
+cufftResult CUFFTAPI cufftExecC2R(cufftHandle plan,
+                                  cufftComplex *idata,
+                                  cufftReal *odata);
+
+cufftResult CUFFTAPI cufftExecZ2Z(cufftHandle plan,
+                                  cufftDoubleComplex *idata,
+                                  cufftDoubleComplex *odata,
+                                  int direction);
+
+cufftResult CUFFTAPI cufftExecD2Z(cufftHandle plan,
+                                  cufftDoubleReal *idata,
+                                  cufftDoubleComplex *odata);
+
+cufftResult CUFFTAPI cufftExecZ2D(cufftHandle plan,
+                                  cufftDoubleComplex *idata,
+                                  cufftDoubleReal *odata);
+
+
+// utility functions
+cufftResult CUFFTAPI cufftSetStream(cufftHandle plan,
+                                    cudaStream_t stream);
+
+cufftResult CUFFTAPI cufftDestroy(cufftHandle plan);
+
+cufftResult CUFFTAPI cufftGetVersion(int *version);
+
+cufftResult CUFFTAPI cufftGetProperty(libraryPropertyType type,
+                                      int *value);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif /* _CUFFT_H_ */

pllava/lib/python3.10/site-packages/nvidia/cufft/include/cufftXt.h

@@ -0,0 +1,269 @@
+
+ /* Copyright 2005-2021 NVIDIA Corporation.  All rights reserved.
+  *
+  * NOTICE TO LICENSEE:
+  *
+  * The source code and/or documentation ("Licensed Deliverables") are
+  * subject to NVIDIA intellectual property rights under U.S. and
+  * international Copyright laws.
+  *
+  * The Licensed Deliverables contained herein are PROPRIETARY and
+  * CONFIDENTIAL to NVIDIA and are being provided under the terms and
+  * conditions of a form of NVIDIA software license agreement by and
+  * between NVIDIA and Licensee ("License Agreement") or electronically
+  * accepted by Licensee.  Notwithstanding any terms or conditions to
+  * the contrary in the License Agreement, reproduction or disclosure
+  * of the Licensed Deliverables to any third party without the express
+  * written consent of NVIDIA is prohibited.
+  *
+  * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+  * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+  * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  THEY ARE
+  * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+  * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+  * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+  * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+  * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+  * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+  * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+  * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+  * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+  * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+  * OF THESE LICENSED DELIVERABLES.
+  *
+  * U.S. Government End Users.  These Licensed Deliverables are a
+  * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+  * 1995), consisting of "commercial computer software" and "commercial
+  * computer software documentation" as such terms are used in 48
+  * C.F.R. 12.212 (SEPT 1995) and are provided to the U.S. Government
+  * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+  * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+  * U.S. Government End Users acquire the Licensed Deliverables with
+  * only those rights set forth herein.
+  *
+  * Any use of the Licensed Deliverables in individual and commercial
+  * software must include, in the user documentation and internal
+  * comments to the code, the above Disclaimer and U.S. Government End
+  * Users Notice.
+  */
+
+/*!
+* \file cufftXt.h
+* \brief Public header file for the NVIDIA CUDA FFT library (CUFFT)
+*/
+
+#ifndef _CUFFTXT_H_
+#define _CUFFTXT_H_
+#include "cudalibxt.h"
+#include "cufft.h"
+
+
+#ifndef CUFFTAPI
+#ifdef _WIN32
+#define CUFFTAPI __stdcall
+#else
+#define CUFFTAPI
+#endif
+#endif
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+//
+// cufftXtSubFormat identifies the data layout of
+// a memory descriptor owned by cufft.
+// note that multi GPU cufft does not yet support out-of-place transforms
+//
+
+typedef enum cufftXtSubFormat_t {
+    CUFFT_XT_FORMAT_INPUT = 0x00,              //by default input is in linear order across GPUs
+    CUFFT_XT_FORMAT_OUTPUT = 0x01,             //by default output is in scrambled order depending on transform
+    CUFFT_XT_FORMAT_INPLACE = 0x02,            //by default inplace is input order, which is linear across GPUs
+    CUFFT_XT_FORMAT_INPLACE_SHUFFLED = 0x03,   //shuffled output order after execution of the transform
+    CUFFT_XT_FORMAT_1D_INPUT_SHUFFLED = 0x04,  //shuffled input order prior to execution of 1D transforms
+    CUFFT_XT_FORMAT_DISTRIBUTED_INPUT = 0x05,
+    CUFFT_XT_FORMAT_DISTRIBUTED_OUTPUT = 0x06,
+    CUFFT_FORMAT_UNDEFINED = 0x07
+} cufftXtSubFormat;
+
+//
+// cufftXtCopyType specifies the type of copy for cufftXtMemcpy
+//
+typedef enum cufftXtCopyType_t {
+    CUFFT_COPY_HOST_TO_DEVICE = 0x00,
+    CUFFT_COPY_DEVICE_TO_HOST = 0x01,
+    CUFFT_COPY_DEVICE_TO_DEVICE = 0x02,
+    CUFFT_COPY_UNDEFINED = 0x03
+} cufftXtCopyType;
+
+//
+// cufftXtQueryType specifies the type of query for cufftXtQueryPlan
+//
+typedef enum cufftXtQueryType_t {
+    CUFFT_QUERY_1D_FACTORS = 0x00,
+    CUFFT_QUERY_UNDEFINED = 0x01
+} cufftXtQueryType;
+
+typedef struct cufftXt1dFactors_t {
+    long long int size;
+    long long int stringCount;
+    long long int stringLength;
+    long long int substringLength;
+    long long int factor1;
+    long long int factor2;
+    long long int stringMask;
+    long long int substringMask;
+    long long int factor1Mask;
+    long long int factor2Mask;
+    int stringShift;
+    int substringShift;
+    int factor1Shift;
+    int factor2Shift;
+} cufftXt1dFactors;
+
+//
+// cufftXtWorkAreaPolicy specifies policy for cufftXtSetWorkAreaPolicy
+//
+typedef enum cufftXtWorkAreaPolicy_t {
+    CUFFT_WORKAREA_MINIMAL = 0, /* maximum reduction */
+    CUFFT_WORKAREA_USER = 1, /* use workSize parameter as limit */
+    CUFFT_WORKAREA_PERFORMANCE = 2, /* default - 1x overhead or more, maximum performance */
+} cufftXtWorkAreaPolicy;
+
+// multi-GPU routines
+cufftResult CUFFTAPI cufftXtSetGPUs(cufftHandle handle, int nGPUs, int *whichGPUs);
+
+cufftResult CUFFTAPI cufftXtMalloc(cufftHandle plan,
+                                   cudaLibXtDesc ** descriptor,
+                                   cufftXtSubFormat format);
+
+cufftResult CUFFTAPI cufftXtMemcpy(cufftHandle plan,
+                                   void *dstPointer,
+                                   void *srcPointer,
+                                   cufftXtCopyType type);
+
+cufftResult CUFFTAPI cufftXtFree(cudaLibXtDesc *descriptor);
+
+cufftResult CUFFTAPI cufftXtSetWorkArea(cufftHandle plan, void **workArea);
+
+cufftResult CUFFTAPI cufftXtExecDescriptorC2C(cufftHandle plan,
+                                              cudaLibXtDesc *input,
+                                              cudaLibXtDesc *output,
+                                              int direction);
+
+cufftResult CUFFTAPI cufftXtExecDescriptorR2C(cufftHandle plan,
+                                              cudaLibXtDesc *input,
+                                              cudaLibXtDesc *output);
+
+cufftResult CUFFTAPI cufftXtExecDescriptorC2R(cufftHandle plan,
+                                              cudaLibXtDesc *input,
+                                              cudaLibXtDesc *output);
+
+cufftResult CUFFTAPI cufftXtExecDescriptorZ2Z(cufftHandle plan,
+                                              cudaLibXtDesc *input,
+                                              cudaLibXtDesc *output,
+                                              int direction);
+
+cufftResult CUFFTAPI cufftXtExecDescriptorD2Z(cufftHandle plan,
+                                              cudaLibXtDesc *input,
+                                              cudaLibXtDesc *output);
+
+cufftResult CUFFTAPI cufftXtExecDescriptorZ2D(cufftHandle plan,
+                                              cudaLibXtDesc *input,
+                                              cudaLibXtDesc *output);
+
+// Utility functions
+
+cufftResult CUFFTAPI cufftXtQueryPlan(cufftHandle plan, void *queryStruct, cufftXtQueryType queryType);
+
+
+// callbacks
+
+
+typedef enum cufftXtCallbackType_t {
+    CUFFT_CB_LD_COMPLEX = 0x0,
+    CUFFT_CB_LD_COMPLEX_DOUBLE = 0x1,
+    CUFFT_CB_LD_REAL = 0x2,
+    CUFFT_CB_LD_REAL_DOUBLE = 0x3,
+    CUFFT_CB_ST_COMPLEX = 0x4,
+    CUFFT_CB_ST_COMPLEX_DOUBLE = 0x5,
+    CUFFT_CB_ST_REAL = 0x6,
+    CUFFT_CB_ST_REAL_DOUBLE = 0x7,
+    CUFFT_CB_UNDEFINED = 0x8
+
+} cufftXtCallbackType;
+
+typedef cufftComplex (*cufftCallbackLoadC)(void *dataIn, size_t offset, void *callerInfo, void *sharedPointer);
+typedef cufftDoubleComplex (*cufftCallbackLoadZ)(void *dataIn, size_t offset, void *callerInfo, void *sharedPointer);
+typedef cufftReal (*cufftCallbackLoadR)(void *dataIn, size_t offset, void *callerInfo, void *sharedPointer);
+typedef cufftDoubleReal(*cufftCallbackLoadD)(void *dataIn, size_t offset, void *callerInfo, void *sharedPointer);
+
+typedef void (*cufftCallbackStoreC)(void *dataOut, size_t offset, cufftComplex element, void *callerInfo, void *sharedPointer);
+typedef void (*cufftCallbackStoreZ)(void *dataOut, size_t offset, cufftDoubleComplex element, void *callerInfo, void *sharedPointer);
+typedef void (*cufftCallbackStoreR)(void *dataOut, size_t offset, cufftReal element, void *callerInfo, void *sharedPointer);
+typedef void (*cufftCallbackStoreD)(void *dataOut, size_t offset, cufftDoubleReal element, void *callerInfo, void *sharedPointer);
+
+
+cufftResult CUFFTAPI cufftXtSetCallback(cufftHandle plan, void **callback_routine, cufftXtCallbackType cbType, void **caller_info);
+cufftResult CUFFTAPI cufftXtClearCallback(cufftHandle plan, cufftXtCallbackType cbType);
+cufftResult CUFFTAPI cufftXtSetCallbackSharedSize(cufftHandle plan, cufftXtCallbackType cbType, size_t sharedSize);
+
+cufftResult CUFFTAPI cufftXtMakePlanMany(cufftHandle plan,
+                                         int rank,
+                                         long long int *n,
+                                         long long int *inembed,
+                                         long long int istride,
+                                         long long int idist,
+                                         cudaDataType inputtype,
+                                         long long int *onembed,
+                                         long long int ostride,
+                                         long long int odist,
+                                         cudaDataType outputtype,
+                                         long long int batch,
+                                         size_t *workSize,
+                                       	 cudaDataType executiontype);
+
+cufftResult CUFFTAPI cufftXtGetSizeMany(cufftHandle plan,
+                                        int rank,
+                                        long long int *n,
+                                        long long int *inembed,
+                                        long long int istride,
+                                        long long int idist,
+                                        cudaDataType inputtype,
+                                        long long int *onembed,
+                                        long long int ostride,
+                                        long long int odist,
+                                        cudaDataType outputtype,
+                                        long long int batch,
+                                        size_t *workSize,
+                                        cudaDataType executiontype);
+
+
+cufftResult CUFFTAPI cufftXtExec(cufftHandle plan,
+                                 void *input,
+                                 void *output,
+                                 int direction);
+
+cufftResult CUFFTAPI cufftXtExecDescriptor(cufftHandle plan,
+                                           cudaLibXtDesc *input,
+                                           cudaLibXtDesc *output,
+                                           int direction);
+
+cufftResult CUFFTAPI cufftXtSetWorkAreaPolicy(cufftHandle plan, cufftXtWorkAreaPolicy policy, size_t *workSize);
+
+typedef struct cufftBox3d_t {
+    size_t lower[3];
+    size_t upper[3];
+    size_t strides[3];
+} cufftBox3d;
+
+cufftResult CUFFTAPI cufftXtSetDistribution(cufftHandle plan,
+                                            const cufftBox3d *box_in,
+                                            const cufftBox3d *box_out);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif

pllava/lib/python3.10/site-packages/nvidia/cufft/include/cufftw.h

@@ -0,0 +1,454 @@
+
+ /* Copyright 2005-2014 NVIDIA Corporation.  All rights reserved.
+  *
+  * NOTICE TO LICENSEE:
+  *
+  * The source code and/or documentation ("Licensed Deliverables") are
+  * subject to NVIDIA intellectual property rights under U.S. and
+  * international Copyright laws.
+  *
+  * The Licensed Deliverables contained herein are PROPRIETARY and
+  * CONFIDENTIAL to NVIDIA and are being provided under the terms and
+  * conditions of a form of NVIDIA software license agreement by and
+  * between NVIDIA and Licensee ("License Agreement") or electronically
+  * accepted by Licensee.  Notwithstanding any terms or conditions to
+  * the contrary in the License Agreement, reproduction or disclosure
+  * of the Licensed Deliverables to any third party without the express
+  * written consent of NVIDIA is prohibited.
+  *
+  * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+  * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
+  * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  THEY ARE
+  * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
+  * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
+  * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
+  * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
+  * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
+  * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
+  * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
+  * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
+  * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
+  * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
+  * OF THESE LICENSED DELIVERABLES.
+  *
+  * U.S. Government End Users.  These Licensed Deliverables are a
+  * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
+  * 1995), consisting of "commercial computer software" and "commercial
+  * computer software documentation" as such terms are used in 48
+  * C.F.R. 12.212 (SEPT 1995) and are provided to the U.S. Government
+  * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
+  * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
+  * U.S. Government End Users acquire the Licensed Deliverables with
+  * only those rights set forth herein.
+  *
+  * Any use of the Licensed Deliverables in individual and commercial
+  * software must include, in the user documentation and internal
+  * comments to the code, the above Disclaimer and U.S. Government End
+  * Users Notice.
+  */
+
+/*!
+* \file cufftw.h
+* \brief Public header file for the NVIDIA CUDA FFTW library (CUFFTW)
+*/
+
+#ifndef _CUFFTW_H_
+#define _CUFFTW_H_
+
+
+#include <stdio.h>
+#include "cufft.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+// transform direction
+#define FFTW_FORWARD -1
+#define FFTW_INVERSE  1
+#define FFTW_BACKWARD 1
+
+// Planner flags
+
+#define FFTW_ESTIMATE           0x01
+#define FFTW_MEASURE            0x02
+#define FFTW_PATIENT            0x03
+#define FFTW_EXHAUSTIVE         0x04
+#define FFTW_WISDOM_ONLY        0x05
+
+//Algorithm restriction flags
+
+#define FFTW_DESTROY_INPUT      0x08
+#define FFTW_PRESERVE_INPUT     0x0C
+#define FFTW_UNALIGNED          0x10
+    
+// CUFFTW defines and supports the following data types
+
+// note if complex.h has been included we use the C99 complex types
+#if !defined(FFTW_NO_Complex) && defined(_Complex_I) && defined (complex)
+  typedef double _Complex fftw_complex;
+  typedef float _Complex fftwf_complex;
+#else
+  typedef double fftw_complex[2];
+  typedef float fftwf_complex[2];
+#endif
+
+typedef void *fftw_plan;
+
+typedef void *fftwf_plan;
+
+typedef struct {
+    int n;
+    int is;
+    int os;
+} fftw_iodim;
+
+typedef fftw_iodim fftwf_iodim;
+    
+typedef struct {
+    ptrdiff_t n;
+    ptrdiff_t is;
+    ptrdiff_t os;
+} fftw_iodim64;
+
+typedef fftw_iodim64 fftwf_iodim64;
+    
+
+// CUFFTW defines and supports the following double precision APIs
+
+
+fftw_plan CUFFTAPI fftw_plan_dft_1d(int n, 
+                                    fftw_complex *in,
+                                    fftw_complex *out, 
+                                    int sign, 
+                                    unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_dft_2d(int n0,
+                                    int n1, 
+                                    fftw_complex *in,
+                                    fftw_complex *out, 
+                                    int sign, 
+                                    unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_dft_3d(int n0,
+                                    int n1,
+                                    int n2, 
+                                    fftw_complex *in,
+                                    fftw_complex *out, 
+                                    int sign, 
+                                    unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_dft(int rank,
+                                 const int *n,
+                                 fftw_complex *in,
+                                 fftw_complex *out, 
+                                 int sign, 
+                                 unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_dft_r2c_1d(int n, 
+                                        double *in,
+                                        fftw_complex *out, 
+                                        unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_dft_r2c_2d(int n0,
+                                        int n1, 
+                                        double *in,
+                                        fftw_complex *out, 
+                                        unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_dft_r2c_3d(int n0,
+                                        int n1,
+                                        int n2, 
+                                        double *in,
+                                        fftw_complex *out, 
+                                        unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_dft_r2c(int rank,
+                                     const int *n,
+                                     double *in,
+                                     fftw_complex *out, 
+                                     unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_dft_c2r_1d(int n, 
+                                        fftw_complex *in,
+                                        double *out, 
+                                        unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_dft_c2r_2d(int n0,
+                                        int n1, 
+                                        fftw_complex *in,
+                                        double *out, 
+                                        unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_dft_c2r_3d(int n0,
+                                        int n1,
+                                        int n2, 
+                                        fftw_complex *in,
+                                        double *out, 
+                                        unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_dft_c2r(int rank,
+                                     const int *n,
+                                     fftw_complex *in,
+                                     double *out, 
+                                     unsigned flags);
+
+
+fftw_plan CUFFTAPI fftw_plan_many_dft(int rank,
+                                      const int *n,
+                                      int batch,
+                                      fftw_complex *in,
+                                      const int *inembed, int istride, int idist,
+                                      fftw_complex *out,
+                                      const int *onembed, int ostride, int odist,
+                                      int sign, unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_many_dft_r2c(int rank,
+                                          const int *n,
+                                          int batch,
+                                          double *in,
+                                          const int *inembed, int istride, int idist,
+                                          fftw_complex *out,
+                                          const int *onembed, int ostride, int odist,
+                                          unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_many_dft_c2r(int rank,
+                                          const int *n,
+                                          int batch,
+                                          fftw_complex *in,
+                                          const int *inembed, int istride, int idist,
+                                          double *out,
+                                          const int *onembed, int ostride, int odist,
+                                          unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_guru_dft(int rank, const fftw_iodim *dims,
+                                      int batch_rank, const fftw_iodim *batch_dims,
+                                      fftw_complex *in, fftw_complex *out,
+                                      int sign, unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_guru_dft_r2c(int rank, const fftw_iodim *dims,
+                                          int batch_rank, const fftw_iodim *batch_dims,
+                                          double *in, fftw_complex *out, 
+                                          unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_guru_dft_c2r(int rank, const fftw_iodim *dims,
+                                          int batch_rank, const fftw_iodim *batch_dims,
+                                          fftw_complex *in, double *out, 
+                                          unsigned flags);
+
+void CUFFTAPI fftw_execute(const fftw_plan plan);
+
+void CUFFTAPI fftw_execute_dft(const fftw_plan plan, 
+                               fftw_complex *idata,
+                               fftw_complex *odata);
+
+void CUFFTAPI fftw_execute_dft_r2c(const fftw_plan plan, 
+                                   double *idata,
+                                   fftw_complex *odata);
+
+void CUFFTAPI fftw_execute_dft_c2r(const fftw_plan plan, 
+                                   fftw_complex *idata,
+                                   double *odata);
+                                   
+                                   
+// CUFFTW defines and supports the following single precision APIs
+
+fftwf_plan CUFFTAPI fftwf_plan_dft_1d(int n, 
+                                      fftwf_complex *in,
+                                      fftwf_complex *out, 
+                                      int sign, 
+                                      unsigned flags);
+                                   
+fftwf_plan CUFFTAPI fftwf_plan_dft_2d(int n0,
+                                      int n1, 
+                                      fftwf_complex *in,
+                                      fftwf_complex *out, 
+                                      int sign, 
+                                      unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_dft_3d(int n0,
+                                      int n1,
+                                      int n2, 
+                                      fftwf_complex *in,
+                                      fftwf_complex *out, 
+                                      int sign, 
+                                      unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_dft(int rank,
+                                   const int *n,
+                                   fftwf_complex *in,
+                                   fftwf_complex *out, 
+                                   int sign, 
+                                   unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_dft_r2c_1d(int n, 
+                                          float *in,
+                                          fftwf_complex *out, 
+                                          unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_dft_r2c_2d(int n0,
+                                          int n1, 
+                                          float *in,
+                                          fftwf_complex *out, 
+                                          unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_dft_r2c_3d(int n0,
+                                          int n1,
+                                          int n2, 
+                                          float *in,
+                                          fftwf_complex *out, 
+                                          unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_dft_r2c(int rank,
+                                       const int *n,
+                                       float *in,
+                                       fftwf_complex *out, 
+                                       unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_dft_c2r_1d(int n, 
+                                          fftwf_complex *in,
+                                          float *out, 
+                                          unsigned flags);
+                                      
+fftwf_plan CUFFTAPI fftwf_plan_dft_c2r_2d(int n0,
+                                          int n1, 
+                                          fftwf_complex *in,
+                                          float *out, 
+                                          unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_dft_c2r_3d(int n0,
+                                        int n1,
+                                        int n2, 
+                                        fftwf_complex *in,
+                                        float *out, 
+                                        unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_dft_c2r(int rank,
+                                       const int *n,
+                                       fftwf_complex *in,
+                                       float *out, 
+                                       unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_many_dft(int rank,
+                                        const int *n,
+                                        int batch,
+                                        fftwf_complex *in,
+                                        const int *inembed, int istride, int idist,
+                                        fftwf_complex *out,
+                                        const int *onembed, int ostride, int odist,
+                                        int sign, unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_many_dft_r2c(int rank,
+                                            const int *n,
+                                            int batch,
+                                            float *in,
+                                            const int *inembed, int istride, int idist,
+                                            fftwf_complex *out,
+                                            const int *onembed, int ostride, int odist,
+                                            unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_many_dft_c2r(int rank,
+                                            const int *n,
+                                            int batch,
+                                            fftwf_complex *in,
+                                            const int *inembed, int istride, int idist,
+                                            float *out,
+                                            const int *onembed, int ostride, int odist,
+                                            unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_guru_dft(int rank, const fftwf_iodim *dims,
+                                        int batch_rank, const fftwf_iodim *batch_dims,
+                                        fftwf_complex *in, fftwf_complex *out,
+                                        int sign, unsigned flags);
+                                        
+fftwf_plan CUFFTAPI fftwf_plan_guru_dft_r2c(int rank, const fftwf_iodim *dims,
+                                            int batch_rank, const fftwf_iodim *batch_dims,
+                                            float *in, fftwf_complex *out, 
+                                            unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_guru_dft_c2r(int rank, const fftwf_iodim *dims,
+                                            int batch_rank, const fftwf_iodim *batch_dims,
+                                            fftwf_complex *in, float *out, 
+                                            unsigned flags);
+
+void CUFFTAPI fftwf_execute(const fftw_plan plan);
+
+void CUFFTAPI fftwf_execute_dft(const fftwf_plan plan, 
+                                fftwf_complex *idata,
+                                fftwf_complex *odata);
+
+void CUFFTAPI fftwf_execute_dft_r2c(const fftwf_plan plan, 
+                                    float *idata,
+                                    fftwf_complex *odata);
+
+void CUFFTAPI fftwf_execute_dft_c2r(const fftwf_plan plan, 
+                                    fftwf_complex *idata,
+                                    float *odata);
+
+/// CUFFTW 64-bit Guru Interface
+/// dp
+fftw_plan CUFFTAPI fftw_plan_guru64_dft(int rank, const fftw_iodim64* dims, int batch_rank, const fftw_iodim64* batch_dims, fftw_complex* in, fftw_complex* out, int sign, unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_guru64_dft_r2c(int rank, const fftw_iodim64* dims, int batch_rank, const fftw_iodim64* batch_dims, double* in, fftw_complex* out, unsigned flags);
+
+fftw_plan CUFFTAPI fftw_plan_guru64_dft_c2r(int rank, const fftw_iodim64* dims, int batch_rank, const fftw_iodim64* batch_dims, fftw_complex* in, double* out, unsigned flags);
+
+/// sp
+fftwf_plan CUFFTAPI fftwf_plan_guru64_dft(int rank, const fftwf_iodim64* dims, int batch_rank, const fftwf_iodim64* batch_dims, fftwf_complex* in, fftwf_complex* out, int sign, unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_guru64_dft_r2c(int rank, const fftwf_iodim64* dims, int batch_rank, const fftwf_iodim64* batch_dims, float* in, fftwf_complex* out, unsigned flags);
+
+fftwf_plan CUFFTAPI fftwf_plan_guru64_dft_c2r(int rank, const fftwf_iodim64* dims, int batch_rank, const fftwf_iodim64* batch_dims, fftwf_complex* in, float* out, unsigned flags);
+
+#ifdef _WIN32
+#define _CUFFTAPI(T) T CUFFTAPI
+#else
+#define _CUFFTAPI(T) CUFFTAPI T
+#endif
+
+// CUFFTW defines and supports the following support APIs
+_CUFFTAPI(void *) fftw_malloc(size_t n);
+
+_CUFFTAPI(void *) fftwf_malloc(size_t n);
+
+void CUFFTAPI fftw_free(void *pointer);
+
+void CUFFTAPI fftwf_free(void *pointer);
+
+void CUFFTAPI fftw_export_wisdom_to_file(FILE * output_file); 
+
+void CUFFTAPI fftwf_export_wisdom_to_file(FILE * output_file); 
+
+void CUFFTAPI fftw_import_wisdom_from_file(FILE * input_file); 
+
+void CUFFTAPI fftwf_import_wisdom_from_file(FILE * input_file); 
+
+void CUFFTAPI fftw_print_plan(const fftw_plan plan);                                 
+
+void CUFFTAPI fftwf_print_plan(const fftwf_plan plan);
+
+void CUFFTAPI fftw_set_timelimit(double seconds);
+
+void CUFFTAPI fftwf_set_timelimit(double seconds);
+
+double CUFFTAPI fftw_cost(const fftw_plan plan);
+                               
+double CUFFTAPI fftwf_cost(const fftw_plan plan);
+
+void CUFFTAPI fftw_flops(const fftw_plan plan, double *add, double *mul, double *fma);
+
+void CUFFTAPI fftwf_flops(const fftw_plan plan, double *add, double *mul, double *fma);
+
+void CUFFTAPI fftw_destroy_plan(fftw_plan plan);
+
+void CUFFTAPI fftwf_destroy_plan(fftwf_plan plan);
+
+void CUFFTAPI fftw_cleanup(void);
+
+void CUFFTAPI fftwf_cleanup(void);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif /* _CUFFTW_H_ */