[torch-mlir earthmoving (2/N)] Python code movement.

This moves the bulk of the Python code (including the Torch interop)
from `frontends/pytorch` into `torch-mlir/TorchPlugin`. This also
required reconciling a bunch of other Python-related stuff, like the
`torch` dialects.

As I did this, it was simpler to just remove all the old numpy/basicpy
stuff because we were going to delete it anyway and it was faster than
debugging an intermediate state that would only last O(days) anyway.

torch-mlir has two top-level python packages (built into the
`python_packages` directory):

- `torch_mlir_dialects`: `torch` dialect Python bindings (does not
  depend on PyTorch). This also involves building the aggregate CAPI for
  `torch-mlir`.
- `torch_mlir`: bindings to the part of the code that links against
  PyTorch (or C++ code that transitively does).

Additionally, there remain two more Python packages in npcomp (but
outside `torch-mlir`):

- `npcomp_torch`: Contains the e2e test framework and testing configs
  that plug into RefBackend and IREE.
- `npcomp_core`: Contains the low-level interfaces to RefBackend and
  IREE that `npcomp_torch` uses, along with its own
  `MLIR_PYTHON_PACKAGE_PREFIX=npcomp.` aggregation of the core MLIR
  python bindings. (all other functionality has been stripped out)

After all the basicpy/numpy deletions, the `npcomp` C++ code is now very
tiny. It basically just contains RefBackend and the `TorchConversion`
dialect/passes (e.g. `TorchToLinalg.cpp`).

Correspondingly, there are now 4 main testing targets paralleling the
Python layering (which is reflective of the deeper underlying dependency
structure)

- `check-torch-mlir`: checks the `torch-mlir` pure MLIR C++ code.
- `check-torch-mlir-plugin`: checks the code in `TorchPlugin` (e.g.
  TorchScript import)
- `check-frontends-pytorch`: Checks the little code we have in
  `frontends/pytorch` -- mainly things related to the e2e framework
  itself.
- `check-npcomp`: Checks the pure MLIR C++ code inside npcomp.

There is a target `check-npcomp-all` that runs all of them.
The `torch-mlir/build_standalone.sh` script does a standalone build of
`torch-mlir`.

The e2e tests (`tools/torchscript_e2e_test.sh`) are working too.

The update_torch_ods script now lives in
`torch-mlir/build_tools/update_torch_ods.sh` and expects a standalone
build.

This change also required a fix upstream related to cross-shlib Python
dependencies, so we also update llvm-project to
8dca953dd39c0cd8c80decbeb38753f58a4de580 to get
https://reviews.llvm.org/D109776 (no other fixes were needed for the
integrate, thankfully).

This completes most of the large source code changes. Next will be
bringing the CI/packaging/examples back to life.
pull/306/head
Sean Silva 2021-09-10 18:44:38 +00:00
parent 28a7738189
commit b6be96d722
273 changed files with 941 additions and 12796 deletions

View File

@ -43,8 +43,7 @@ jobs:
-DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ \
-DPython3_EXECUTABLE=$(which python) \
-DLLVM_ENABLE_ASSERTIONS=ON \
-DLLVM_TARGETS_TO_BUILD=host \
-DNPCOMP_ENABLE_PYTORCH=ON
-DLLVM_TARGETS_TO_BUILD=host
ninja
ninja check-npcomp check-frontends-pytorch
- name: Refbackend integration tests

View File

@ -25,7 +25,6 @@ set(NPCOMP_MINIMUM_PYTHON_VERSION 3.6)
option(NPCOMP_ENABLE_IREE "Enables the IREE backend (must configure location via IREE_DIR)." OFF)
option(NPCOMP_ENABLE_REFJIT "Enables the reference JIT backend." ON)
set(NPCOMP_IREE_BUILDDIR "../iree-build" CACHE STRING "If building IREE, then setting this elects to build from a source directory (versus installed package)")
option(NPCOMP_ENABLE_PYTORCH "Enables PyTorch integration." OFF)
# Turn on -gsplit-dwarf if requested in debug builds.
if (NPCOMP_USE_SPLIT_DWARF AND
@ -50,6 +49,15 @@ if(MSVC)
)
endif()
#-------------------------------------------------------------------------------
# Directory setup
#-------------------------------------------------------------------------------
set(MLIR_NPCOMP_SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR})
set(MLIR_NPCOMP_BINARY_DIR ${CMAKE_CURRENT_BINARY_DIR})
set(MLIR_NPCOMP_PYTHON_PACKAGES_DIR ${CMAKE_CURRENT_BINARY_DIR}/python_packages)
set(TORCH_MLIR_PYTHON_PACKAGES_DIR "${MLIR_NPCOMP_PYTHON_PACKAGES_DIR}")
if(CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR)
# If we are not building as a part of LLVM, build NPCOMP as a standalone
# project, including LLVM as a subdirectory. This gives us the most control
@ -235,17 +243,9 @@ if(NPCOMP_ENABLE_IREE)
symlink_iree(bindings/python/pyiree/rt python/pyiree/rt)
endif()
#-------------------------------------------------------------------------------
# Directory setup
#-------------------------------------------------------------------------------
set(MLIR_NPCOMP_SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR})
set(MLIR_NPCOMP_BINARY_DIR ${CMAKE_CURRENT_BINARY_DIR})
set(MLIR_NPCOMP_PYTHON_PACKAGES_DIR ${CMAKE_CURRENT_BINARY_DIR}/python_packages)
add_custom_target(check-npcomp)
add_custom_target(check-npcomp-all)
add_dependencies(check-npcomp-all check-npcomp)
add_dependencies(check-npcomp-all check-npcomp check-frontends-pytorch check-torch-mlir check-torch-mlir-plugin)
add_subdirectory(include/npcomp)
add_subdirectory(lib)
@ -253,7 +253,5 @@ add_subdirectory(python)
add_subdirectory(test)
add_subdirectory(tools)
if(NPCOMP_ENABLE_PYTORCH)
message(STATUS "Adding PyTorch frontent support...")
message(STATUS "Adding PyTorch frontend support...")
add_subdirectory(frontends/pytorch)
endif()

View File

@ -147,7 +147,7 @@ ninja check-npcomp
# enable the PyTorch frontend.
pip3 install --pre torch torchvision -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
cmake -DNPCOMP_ENABLE_PYTORCH=ON ...
cmake ...
ninja check-frontends-pytorch # If building with PyTorch
```
@ -177,7 +177,7 @@ Build/test npcomp (from within docker image):
```shell
# From within the docker image.
cd /src/mlir-npcomp
cmake -GNinja -B/build/npcomp -DCMAKE_BUILD_TYPE=Release -DNPCOMP_ENABLE_PYTORCH=ON .
cmake -GNinja -B/build/npcomp -DCMAKE_BUILD_TYPE=Release .
cmake --build /build/npcomp --target check-npcomp check-frontends-pytorch
```

View File

@ -1,13 +0,0 @@
#!/bin/bash
# Updates auto-generated ODS files for the `torch` dialect.
set -e
src_dir="$(realpath $(dirname $0)/..)"
build_dir="$(realpath "${NPCOMP_BUILD_DIR:-$src_dir/build}")"
torch_ir_dir="${src_dir}/include/npcomp/Dialect/Torch/IR"
source $src_dir/.env
#ninja -C "${build_dir}"
python -m torch_mlir_utils.codegen.torch_ods_gen \
--torch_ir_dir="${torch_ir_dir}" \
--debug_registry_dump="${torch_ir_dir}/JITOperatorRegistryDump.txt"

View File

@ -15,8 +15,7 @@ python_packages_dir="$build_dir/python_packages"
write_env_file() {
echo "Updating $build_dir/.env file"
echo "PYTHONPATH=\"$(portable_realpath "$python_packages_dir/npcomp_core"):$(portable_realpath "$python_packages_dir/npcomp_torch")\"" > "$build_dir/.env"
echo "NUMPY_EXPERIMENTAL_ARRAY_FUNCTION=1" >> "$build_dir/.env"
echo "PYTHONPATH=\"$(portable_realpath "$python_packages_dir/npcomp_core"):$(portable_realpath "$python_packages_dir/npcomp_torch"):$(portable_realpath "$python_packages_dir/torch_mlir"):$(portable_realpath "$python_packages_dir/torch_mlir_dialects")\"" > "$build_dir/.env"
if ! cp "$build_dir/.env" "$td/.env"; then
echo "WARNING: Failed to write $td/.env"
fi

View File

@ -1,18 +1,3 @@
function(npcomp_python_target_compile_options target)
target_compile_options(${target} PRIVATE
$<$<OR:$<CXX_COMPILER_ID:Clang>,$<CXX_COMPILER_ID:AppleClang>,$<CXX_COMPILER_ID:GNU>>:
# Enable RTTI and exceptions.
-frtti -fexceptions
# Noisy pybind warnings
-Wno-unused-value
-Wno-covered-switch-default
>
$<$<CXX_COMPILER_ID:MSVC>:
# Enable RTTI and exceptions.
/EHsc /GR>
)
endfunction()
function(npcomp_python_create_symlinks binary_dir source_dir)
# Do nothing if building in-source
if (${binary_dir} STREQUAL ${source_dir})

@ -1 +1 @@
Subproject commit 830c0b9023cd0cf91955900e0d96283e7a8c3711
Subproject commit 8dca953dd39c0cd8c80decbeb38753f58a4de580

1
external/torch-mlir/.gitignore vendored 100644
View File

@ -0,0 +1 @@
/build

View File

@ -63,10 +63,14 @@ endif()
add_subdirectory(include)
add_subdirectory(lib)
add_subdirectory(test)
add_subdirectory(tools)
if(MLIR_ENABLE_BINDINGS_PYTHON)
#XXX: Enable
#add_subdirectory(python)
if(NOT TORCH_MLIR_PYTHON_PACKAGES_DIR)
set(TORCH_MLIR_PYTHON_PACKAGES_DIR "${CMAKE_CURRENT_BINARY_DIR}/python_packages")
endif()
add_subdirectory(TorchPlugin)
add_subdirectory(python)
endif()
add_subdirectory(test)

235
external/torch-mlir/LICENSE vendored 100644
View File

@ -0,0 +1,235 @@
==============================================================================
The LLVM Project is under the Apache License v2.0 with LLVM Exceptions:
As an incubator project with ambition to become part of the LLVM Project,
CIRCT is under the same license.
==============================================================================
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
---- LLVM Exceptions to the Apache 2.0 License ----
As an exception, if, as a result of your compiling your source code, portions
of this Software are embedded into an Object form of such source code, you
may redistribute such embedded portions in such Object form without complying
with the conditions of Sections 4(a), 4(b) and 4(d) of the License.
In addition, if you combine or link compiled forms of this Software with
software that is licensed under the GPLv2 ("Combined Software") and if a
court of competent jurisdiction determines that the patent provision (Section
3), the indemnity provision (Section 9) or other Section of the License
conflicts with the conditions of the GPLv2, you may retroactively and
prospectively choose to deem waived or otherwise exclude such Section(s) of
the License, but only in their entirety and only with respect to the Combined
Software.
==============================================================================
Software from third parties included in the LLVM Project:
==============================================================================
The LLVM Project contains third party software which is under different license
terms. All such code will be identified clearly using at least one of two
mechanisms:
1) It will be in a separate directory tree with its own `LICENSE.txt` or
`LICENSE` file at the top containing the specific license and restrictions
which apply to that software, or
2) It will contain specific license and restriction terms at the top of every
file.

View File

@ -0,0 +1,41 @@
#-------------------------------------------------------------------------------
# Sub project setup
#-------------------------------------------------------------------------------
cmake_minimum_required(VERSION 3.13.4)
if(POLICY CMP0068)
cmake_policy(SET CMP0068 NEW)
set(CMAKE_BUILD_WITH_INSTALL_NAME_DIR ON)
endif()
if(POLICY CMP0075)
cmake_policy(SET CMP0075 NEW)
endif()
if(POLICY CMP0077)
cmake_policy(SET CMP0077 NEW)
endif()
project(torch_mlir_plugin LANGUAGES CXX C)
set(CMAKE_C_STANDARD 11)
set(CMAKE_CXX_STANDARD 14)
#-------------------------------------------------------------------------------
# Setup PyTorch
#-------------------------------------------------------------------------------
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/modules")
include(TorchMLIRPyTorch)
TorchMLIRProbeForPyTorchInstall()
find_package(Torch 1.8 REQUIRED)
TorchMLIRConfigurePyTorch()
#-------------------------------------------------------------------------------
# Subdirectories
#-------------------------------------------------------------------------------
add_subdirectory(csrc)
add_subdirectory(python)
add_subdirectory(test)

View File

@ -0,0 +1,65 @@
In order to facilitate future incorporation in pytorch, the code in this
directory (frontends/pytorch) is provided under the below license.
Copyright (c) 2020 LLVM Foundation.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the names of Facebook, Deepmind Technologies, NYU, NEC Laboratories America
and IDIAP Research Institute nor the names of its contributors may be
used to endorse or promote products derived from this software without
specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER 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.
The design of this code is highly inspired by the design of the xla device for
pytorch (git@github.com:pytorch/xla.git). The license for pytorch/xla is:
Copyright (c) 2018 Google Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the names of Facebook, Deepmind Technologies, NYU, NEC Laboratories America
and IDIAP Research Institute nor the names of its contributors may be
used to endorse or promote products derived from this software without
specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER 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.

View File

@ -1,8 +1,8 @@
# NpcompProbeForPyTorchInstall
# TorchMLIRProbeForPyTorchInstall
# Attempts to find a Torch installation and set the Torch_ROOT variable
# based on introspecting the python environment. This allows a subsequent
# call to find_package(Torch) to work.
function(NpcompProbeForPyTorchInstall)
function(TorchMLIRProbeForPyTorchInstall)
if(Torch_ROOT)
message(STATUS "Using cached Torch root = ${Torch_ROOT}")
else()
@ -24,7 +24,7 @@ function(NpcompProbeForPyTorchInstall)
endif()
endfunction()
# NpcompConfigurePyTorch
# TorchMLIRConfigurePyTorch
# Performs configuration of PyTorch flags after CMake has found it to be
# present. Most of this comes down to detecting whether building against a
# source or official binary and adjusting compiler options in the latter case
@ -34,7 +34,7 @@ endfunction()
# In the future, we may want to switch away from custom building these
# extensions and instead rely on the Torch machinery directly (definitely want
# to do that for official builds).
function(NpcompConfigurePyTorch)
function(TorchMLIRConfigurePyTorch)
if(${CMAKE_SYSTEM_NAME} STREQUAL "Linux")
# Linux specific libstdcpp ABI checking.
message(STATUS "Checking if Torch is an official binary ...")
@ -58,3 +58,18 @@ function(NpcompConfigurePyTorch)
endif()
endif()
endfunction()
function(torch_mlir_python_target_compile_options target)
target_compile_options(${target} PRIVATE
$<$<OR:$<CXX_COMPILER_ID:Clang>,$<CXX_COMPILER_ID:AppleClang>,$<CXX_COMPILER_ID:GNU>>:
# Enable RTTI and exceptions.
-frtti -fexceptions
# Noisy pybind warnings
-Wno-unused-value
-Wno-covered-switch-default
>
$<$<CXX_COMPILER_ID:MSVC>:
# Enable RTTI and exceptions.
/EHsc /GR>
)
endfunction()

View File

@ -1,8 +1,4 @@
include(NpcompPython)
# TODO: Add this to an npcomp header of some kind so it doesn't need to be
# passed loose.
add_compile_definitions("MLIR_PYTHON_PACKAGE_PREFIX=npcomp.")
# TODO: Add a way to configure MLIR_PYTHON_PACKAGE_PREFIX
# Sharp edge: Torch extensions need to use the same pybind11 that torch
# was compiled with, or else there will be issues in cross module exception
@ -16,7 +12,7 @@ include_directories(BEFORE
)
link_directories("${TORCH_INSTALL_PREFIX}/lib")
add_library(NPCOMPTorchMLIRExt SHARED
add_library(TorchMLIRTorchPlugin SHARED
builder/acap_dispatch.cpp
builder/class_annotator.cpp
builder/debug.cpp
@ -31,16 +27,16 @@ add_library(NPCOMPTorchMLIRExt SHARED
init_python_bindings.cpp
)
target_link_libraries(NPCOMPTorchMLIRExt
NPCOMPPythonCAPI
target_link_libraries(TorchMLIRTorchPlugin
TorchMLIRAggregateCAPI
${TORCH_LIBRARIES}
${Python3_LIBRARIES}
torch_python
)
message(STATUS "TORCH_CXXFLAGS=${TORCH_CXXFLAGS}")
set_target_properties(NPCOMPTorchMLIRExt PROPERTIES
LIBRARY_OUTPUT_DIRECTORY "${MLIR_NPCOMP_PYTHON_PACKAGES_DIR}/npcomp_torch"
set_target_properties(TorchMLIRTorchPlugin PROPERTIES
LIBRARY_OUTPUT_DIRECTORY "${TORCH_MLIR_PYTHON_PACKAGES_DIR}/torch_mlir"
OUTPUT_NAME _torch_mlir
PREFIX "${PYTHON_MODULE_PREFIX}"
SUFFIX "${PYTHON_MODULE_EXTENSION}"
@ -48,5 +44,5 @@ set_target_properties(NPCOMPTorchMLIRExt PROPERTIES
COMPILE_FLAGS "${TORCH_CXXFLAGS}"
)
npcomp_python_target_compile_options(NPCOMPTorchMLIRExt)
mlir_check_all_link_libraries(NPCOMPTorchMLIRExt)
torch_mlir_python_target_compile_options(TorchMLIRTorchPlugin)
mlir_check_all_link_libraries(TorchMLIRTorchPlugin)

View File

@ -1,7 +1,7 @@
//===- acap_dispatch.cpp --------------------------------------------------===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
@ -35,7 +35,6 @@ using c10::Stack;
// own key.
// TODO: Ask the PT devs why conv is special and only shows up if dispatching
// through the autograd keys.
// https://github.com/llvm/mlir-npcomp/issues/86
#define ACAP_DISPATCH_KEY PrivateUse2
#define ACAP_GRAD_DISPATCH_KEY AutogradPrivateUse2
static c10::DispatchKey kAcapDispatchKey = c10::DispatchKey::ACAP_DISPATCH_KEY;

View File

@ -1,7 +1,7 @@
//===- acap_dispatch.h ------------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
// "ATen Capture" dispatcher: Defines facility for capturing programs by
@ -11,8 +11,8 @@
//
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_ACAP_DISPATCH_H
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_ACAP_DISPATCH_H
#ifndef TORCHMLIRPLUGIN_CSRC_BUILDER_ACAP_DISPATCH_H
#define TORCHMLIRPLUGIN_CSRC_BUILDER_ACAP_DISPATCH_H
#include <list>
#include <memory>
@ -128,4 +128,4 @@ private:
} // namespace torch_mlir
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_C10_DISPATCH_ACAP_DISPATCH_H
#endif // TORCHMLIRPLUGIN_CSRC_C10_DISPATCH_ACAP_DISPATCH_H

View File

@ -1,7 +1,7 @@
//===- class_annotator.cpp ------------------------------------------------===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//

View File

@ -1,7 +1,7 @@
//===- class_annotations.h --------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
// Utilities for annotating Torch `c10::ClassType`
@ -18,8 +18,8 @@
// of implementation.
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_CLASS_ANNOTATOR_H
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_CLASS_ANNOTATOR_H
#ifndef TORCHMLIRPLUGIN_CSRC_CLASS_ANNOTATOR_H
#define TORCHMLIRPLUGIN_CSRC_CLASS_ANNOTATOR_H
#include "../pybind.h"
@ -192,4 +192,4 @@ void initClassAnnotatorBindings(py::module &m);
} // namespace torch_mlir
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_CLASS_ANNOTATOR_H
#endif // TORCHMLIRPLUGIN_CSRC_CLASS_ANNOTATOR_H

View File

@ -1,7 +1,7 @@
//===- debug.cpp ------------------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//

View File

@ -1,12 +1,12 @@
//===- debug.h --------------------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_DEBUG_H
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_DEBUG_H
#ifndef TORCHMLIRPLUGIN_CSRC_BUILDER_DEBUG_H
#define TORCHMLIRPLUGIN_CSRC_BUILDER_DEBUG_H
#include <string>
@ -24,4 +24,4 @@ void enableDebugTraceToStderr();
} // namespace torch_mlir
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_DEBUG_H
#endif // TORCHMLIRPLUGIN_CSRC_BUILDER_DEBUG_H

View File

@ -1,7 +1,7 @@
//===- func_builder.cpp ---------------------------------------------------===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//

View File

@ -1,12 +1,12 @@
//===- func_builder.h -------------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_FUNC_BUILDER_H
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_FUNC_BUILDER_H
#ifndef TORCHMLIRPLUGIN_CSRC_BUILDER_FUNC_BUILDER_H
#define TORCHMLIRPLUGIN_CSRC_BUILDER_FUNC_BUILDER_H
#include "mlir_utils.h"
#include "torch_to_mlir_utils.h"
@ -150,4 +150,4 @@ private:
} // namespace torch_mlir
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_FUNC_BUILDER_H
#endif // TORCHMLIRPLUGIN_CSRC_BUILDER_FUNC_BUILDER_H

View File

@ -1,7 +1,7 @@
//===- function_importer.cpp ----------------------------------------------===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//

View File

@ -1,12 +1,12 @@
//===- function_importer.h --------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_FUNCTION_IMPORTER_H
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_FUNCTION_IMPORTER_H
#ifndef TORCHMLIRPLUGIN_CSRC_FUNCTION_IMPORTER_H
#define TORCHMLIRPLUGIN_CSRC_FUNCTION_IMPORTER_H
#include <memory>
@ -47,4 +47,4 @@ MlirOperation importJitFunctionAsFuncOp(
} // namespace torch_mlir
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_FUNCTION_IMPORTER_H
#endif // TORCHMLIRPLUGIN_CSRC_FUNCTION_IMPORTER_H

View File

@ -1,7 +1,7 @@
//===- ivalue_importer.cpp ------------------------------------------------===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//

View File

@ -1,12 +1,12 @@
//===- ivalue_importer.h ----------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_IVALUE_IMPORTER_H
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_IVALUE_IMPORTER_H
#ifndef TORCHMLIRPLUGIN_CSRC_IVALUE_IMPORTER_H
#define TORCHMLIRPLUGIN_CSRC_IVALUE_IMPORTER_H
#include <memory>
@ -29,4 +29,4 @@ void importIValue(c10::IValue ivalue, MlirBlock block, MlirContext context,
} // namespace torch_mlir
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_IVALUE_IMPORTER_H
#endif // TORCHMLIRPLUGIN_CSRC_IVALUE_IMPORTER_H

View File

@ -1,12 +1,12 @@
//===- mlir_utils.h ---------------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_MLIR_UTILS_H
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_MLIR_UTILS_H
#ifndef TORCHMLIRPLUGIN_CSRC_MLIR_UTILS_H
#define TORCHMLIRPLUGIN_CSRC_MLIR_UTILS_H
#include <cstring>
#include <string>
@ -111,4 +111,4 @@ MlirOperation createMlirOperationAtEnd(MlirBlock block, std::string name,
} // namespace torch_mlir
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_MLIR_UTILS_H
#endif // TORCHMLIRPLUGIN_CSRC_MLIR_UTILS_H

View File

@ -1,7 +1,7 @@
//===- module_builder.cpp -------------------------------------------------===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
@ -15,7 +15,6 @@
#include "mlir-c/BuiltinTypes.h"
#include "mlir-c/Diagnostics.h"
#include "mlir-c/Registration.h"
#include "npcomp-c/Registration.h"
#include "torch-mlir-c/Registration.h"
namespace py = pybind11;

View File

@ -1,12 +1,12 @@
//===- module_builder.h -----------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_H
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_H
#ifndef TORCHMLIRPLUGIN_CSRC_BUILDER_H
#define TORCHMLIRPLUGIN_CSRC_BUILDER_H
#include "../pybind.h"
@ -70,4 +70,4 @@ private:
} // namespace torch_mlir
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_C10_DISPATCH_MODULE_BUILDER_H
#endif // TORCHMLIRPLUGIN_CSRC_C10_DISPATCH_MODULE_BUILDER_H

View File

@ -1,7 +1,7 @@
//===- node_importer.cpp --------------------------------------------------===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//

View File

@ -1,12 +1,12 @@
//===- node_importer.h ------------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_NODE_IMPORTER_H
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_NODE_IMPORTER_H
#ifndef TORCHMLIRPLUGIN_CSRC_NODE_IMPORTER_H
#define TORCHMLIRPLUGIN_CSRC_NODE_IMPORTER_H
#include <memory>
@ -28,4 +28,4 @@ MlirBlock importBlock(MlirContext context, torch::jit::Block *jitBlock,
} // namespace torch_mlir
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_NODE_IMPORTER_H
#endif // TORCHMLIRPLUGIN_CSRC_NODE_IMPORTER_H

View File

@ -1,7 +1,7 @@
//===- op_builder.cpp -----------------------------------------------------===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//

View File

@ -1,12 +1,12 @@
//===- op_builder.h ---------------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_OP_BUILDER_H
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_OP_BUILDER_H
#ifndef TORCHMLIRPLUGIN_CSRC_BUILDER_OP_BUILDER_H
#define TORCHMLIRPLUGIN_CSRC_BUILDER_OP_BUILDER_H
#include "mlir_utils.h"
#include "torch_to_mlir_utils.h"
@ -37,4 +37,4 @@ private:
} // namespace torch_mlir
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_BUILDER_OP_BUILDER_H
#endif // TORCHMLIRPLUGIN_CSRC_BUILDER_OP_BUILDER_H

View File

@ -1,7 +1,7 @@
//===- python_bindings.cpp --------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//

View File

@ -1,7 +1,7 @@
//===- ivalue_importer.cpp ------------------------------------------------===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
@ -323,9 +323,6 @@ MlirAttribute torch_mlir::convertTensorToMlirElementsAttr(at::Tensor tensor,
shapedType, numElements, static_cast<const double *>(tensorData));
break;
case ScalarType::Bool:
// TODO: Add a test specifically for bool and ensure consistency between
// storage format and load format
// (https://github.com/llvm/mlir-npcomp/issues/100).
return mlirDenseElementsAttrBoolGet(shapedType, numElements,
static_cast<const int *>(tensorData));
break;

View File

@ -1,12 +1,12 @@
//===- torch_to_mlir_utils.h ------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_TORCH_TO_MLIR_UTILS_H
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_TORCH_TO_MLIR_UTILS_H
#ifndef TORCHMLIRPLUGIN_CSRC_TORCH_TO_MLIR_UTILS_H
#define TORCHMLIRPLUGIN_CSRC_TORCH_TO_MLIR_UTILS_H
#include <memory>
@ -98,4 +98,4 @@ MlirOperation createOperationFromSchema(MlirBlock appendToBlock,
} // namespace torch_mlir
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_TORCH_TO_MLIR_UTILS_H
#endif // TORCHMLIRPLUGIN_CSRC_TORCH_TO_MLIR_UTILS_H

View File

@ -1,16 +1,11 @@
//===- init_python_bindings.cpp ---------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
// This is the top-level entry point for the MLIR/NPCOMP <-> PyTorch bridge.
// It provides several mechanisms for extracting programs from PyTorch via:
// a) A pseudo-device which captures the operations to an MLIR module
// (implemented via the legacy type_dispatch mechanism for PyTorch 1.3).
// b) Direct IR translation from PyTorch Graphs (not implemented).
// c) Using the PyTorch JIT facility (not implemented).
// This is the top-level entry point for the MLIR <-> PyTorch bridge.
#include "init_python_bindings.h"

View File

@ -1,7 +1,7 @@
//===- init_python_bindings.h -----------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//

View File

@ -1,7 +1,7 @@
//===- module_builder.h -----------------------------------------*- C++ -*-===//
//
// This file is licensed under a pytorch-style license
// See frontends/pytorch/LICENSE for license information.
// See LICENSE for license information.
//
//===----------------------------------------------------------------------===//
// Includes Torch-specific pybind and associated helpers.
@ -9,8 +9,8 @@
// directly).
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_FRONTENDS_PYTORCH_CSRC_PYBIND_H
#define NPCOMP_FRONTENDS_PYTORCH_CSRC_PYBIND_H
#ifndef TORCHMLIRPLUGIN_CSRC_PYBIND_H
#define TORCHMLIRPLUGIN_CSRC_PYBIND_H
#include <torch/csrc/utils/pybind.h>
@ -25,4 +25,4 @@ public:
} // namespace torch_mlir
#endif // NPCOMP_FRONTENDS_PYTORCH_CSRC_PYBIND_H
#endif // TORCHMLIRPLUGIN_CSRC_PYBIND_H

View File

@ -0,0 +1,24 @@
## Declare the sources of the Python module.
declare_mlir_python_sources(TorchMLIRPluginPythonSources)
declare_mlir_python_sources(TorchMLIRPluginPythonSources.Core
ADD_TO_PARENT TorchMLIRPluginPythonSources
SOURCES_GLOB
torch_mlir/*.py
torch_mlir_utils/codegen/*.py
)
set(_source_components
TorchMLIRPluginPythonSources
)
add_mlir_python_modules(TorchMLIRPluginPythonModules
ROOT_PREFIX "${TORCH_MLIR_PYTHON_PACKAGES_DIR}/torch_mlir"
INSTALL_PREFIX "python_packages/torch_mlir"
DECLARED_SOURCES ${_source_components}
COMMON_CAPI_LINK_LIBS
TorchMLIRAggregateCAPI
)
add_dependencies(TorchMLIRPluginPythonModules TorchMLIRTorchPlugin)

View File

@ -7,7 +7,6 @@
# prior to loading shared objects.
import torch
import npcomp._mlir_libs._npcomp
# Our native extension is not self-contained. It references libraries which
# must come in via the above first.

View File

@ -34,12 +34,12 @@ def _recursively_extract_annotations(
if not isinstance(scripted_method, torch.ScriptMethod):
continue
method = getattr(module, method_name)
if hasattr(method, '_npcomp_export'):
if hasattr(method, '_torch_mlir_export'):
class_annotator.exportPath(scripted._c._type(), [method_name])
if hasattr(method, '_npcomp_arg_annotations'):
if hasattr(method, '_torch_mlir_arg_annotations'):
class_annotator.annotateArgs(
scripted._c._type(), [method_name],
method._npcomp_arg_annotations)
method._torch_mlir_arg_annotations)
# Recurse.
for name, child in module.named_children():
scripted_child = getattr(scripted, name)

View File

@ -22,9 +22,8 @@ extension_sources = [str(p) for p in this_dir.joinpath("csrc").rglob("*.cpp")]
include_dirs = npcomp_build.get_include_dirs()
lib_dirs = npcomp_build.get_lib_dirs()
npcomp_libs = [npcomp_build.get_capi_link_library_name()]
# TODO: Export this in some way from an npcomp config file include vs needing
# it loose here.
compile_args = ["-DMLIR_PYTHON_PACKAGE_PREFIX=npcomp."]
# TODO: Add a way to customize MLIR_PYTHON_PACKAGE_PREFIX
compile_args = []
setup(
name="npcomp-torch",

View File

@ -0,0 +1,21 @@
configure_lit_site_cfg(
${CMAKE_CURRENT_SOURCE_DIR}/lit.site.cfg.py.in
${CMAKE_CURRENT_BINARY_DIR}/lit.site.cfg.py
MAIN_CONFIG
${CMAKE_CURRENT_SOURCE_DIR}/lit.cfg.py
)
set(TEST_DEPENDS
FileCheck count not
torch-mlir-opt
TorchMLIRTorchPlugin
)
add_lit_testsuite(check-torch-mlir-plugin
"Running the torch-mlir-plugin regression tests"
${CMAKE_CURRENT_BINARY_DIR}
DEPENDS ${TEST_DEPENDS}
)
set_target_properties(check-torch-mlir-plugin PROPERTIES FOLDER "Tests")
add_lit_testsuites(TORCH_MLIR_PLUGIN ${CMAKE_CURRENT_SOURCE_DIR} DEPENDS ${TEST_DEPENDS})

View File

@ -1,11 +1,11 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
torch_mlir.debug_trace_to_stderr()
mb = torch_mlir.ModuleBuilder()

View File

@ -1,8 +1,8 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
# XFAIL: *
import torch

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
t0 = torch.randn((1,2,3,4))
t1 = torch.randn((1,2,3,4))

View File

@ -1,11 +1,11 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,8 +1,8 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
import torch
import torch.nn as nn

View File

@ -1,11 +1,11 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,11 +1,11 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,6 +1,6 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
# RUN: %PYTHON %s | FileCheck %s
import _torch_mlir

View File

@ -1,8 +1,8 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
# RUN: %PYTHON %s | npcomp-opt -aten-recognize-kernels -numpy-public-functions-to-tensor -canonicalize | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt -aten-recognize-kernels -numpy-public-functions-to-tensor -canonicalize | FileCheck %s
# TODO: Re-enable after adding support for 4-operand aten::add in `aten-recognize-kernels`.
# XFAIL: *

View File

@ -1,6 +1,6 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
# Some checks that we can import the various extensions and libraries and
# not have symbol collisions or other goings on.
@ -10,7 +10,7 @@ import sys
print(f"PYTHONPATH={sys.path}")
import npcomp.ir
import mlir.ir
import torch_mlir
print("Extensions all loaded")

View File

@ -1,6 +1,6 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,6 +1,6 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing

View File

@ -1,6 +1,6 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
from typing import Dict, Optional
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,6 +1,6 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,6 +1,6 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing

View File

@ -1,6 +1,6 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -0,0 +1,74 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See LICENSE for license information.
import os
import platform
import re
import subprocess
import tempfile
import lit.formats
import lit.util
from lit.llvm import llvm_config
from lit.llvm.subst import ToolSubst
from lit.llvm.subst import FindTool
# Configuration file for the 'lit' test runner.
# name: The name of this test suite.
config.name = 'TORCH_MLIR_PLUGIN'
config.test_format = lit.formats.ShTest(not llvm_config.use_lit_shell)
if 'TEST_SRC_PATH' in os.environ:
config.environment['TEST_SRC_PATH'] = os.environ['TEST_SRC_PATH']
# path to our python operation library
config.environment['TEST_BUILD_PATH'] = os.path.join(config.torch_mlir_plugin_obj_root)
# suffixes: A list of file extensions to treat as test files.
config.suffixes = ['.py']
# test_source_root: The root path where tests are located.
config.test_source_root = os.path.dirname(__file__)
# test_exec_root: The root path where tests should be run.
config.test_exec_root = os.path.join(config.torch_mlir_plugin_obj_root, 'test')
config.substitutions.append(('%PATH%', config.environment['PATH']))
config.substitutions.append(('%shlibext', config.llvm_shlib_ext))
config.substitutions.append(('%PYTHON', config.python_executable))
llvm_config.with_system_environment(
['HOME', 'INCLUDE', 'LIB', 'TMP', 'TEMP'])
llvm_config.use_default_substitutions()
# excludes: A list of directories to exclude from the testsuite. The 'Inputs'
# subdirectories contain auxiliary inputs for various tests in their parent
# directories.
config.excludes = ['lit.cfg.py', 'Inputs', 'Examples', 'CMakeLists.txt', 'README.txt', 'LICENSE.txt']
# test_source_root: The root path where tests are located.
config.test_source_root = os.path.dirname(__file__)
# test_exec_root: The root path where tests should be run.
config.test_exec_root = os.path.join(config.torch_mlir_plugin_obj_root, 'test')
config.torch_mlir_tools_dir = os.path.join(config.torch_mlir_plugin_obj_root, 'bin')
# Tweak the PATH to include the tools dir.
llvm_config.with_environment('PATH', config.llvm_tools_dir, append_path=True)
llvm_config.with_environment('PYTHONPATH', [
os.path.join(config.torch_mlir_python_packages_dir, 'torch_mlir'),
os.path.join(config.torch_mlir_python_packages_dir, 'torch_mlir_dialects'),
],
append_path=True)
tool_dirs = [config.torch_mlir_tools_dir, config.llvm_tools_dir]
tools = [
'torch-mlir-opt',
]
llvm_config.add_tool_substitutions(tools, tool_dirs)

View File

@ -0,0 +1,56 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See LICENSE for license information.
@LIT_SITE_CFG_IN_HEADER@
import sys
config.host_triple = "@LLVM_HOST_TRIPLE@"
config.target_triple = "@TARGET_TRIPLE@"
config.llvm_src_root = "@LLVM_SOURCE_DIR@"
config.llvm_obj_root = "@LLVM_BINARY_DIR@"
# TODO: Fix tools dir to find FileCheck.
#config.llvm_tools_dir = "@LLVM_TOOLS_DIR@"
config.llvm_tools_dir = "@LLVM_BINARY_DIR@/bin"
config.llvm_lib_dir = "@LLVM_LIBRARY_DIR@"
config.llvm_shlib_dir = "@SHLIBDIR@"
config.llvm_shlib_ext = "@SHLIBEXT@"
config.llvm_exe_ext = "@EXEEXT@"
config.lit_tools_dir = "@LLVM_LIT_TOOLS_DIR@"
config.python_executable = "@Python3_EXECUTABLE@"
config.gold_executable = "@GOLD_EXECUTABLE@"
config.ld64_executable = "@LD64_EXECUTABLE@"
config.enable_shared = @ENABLE_SHARED@
config.enable_assertions = @ENABLE_ASSERTIONS@
config.targets_to_build = "@TARGETS_TO_BUILD@"
config.native_target = "@LLVM_NATIVE_ARCH@"
config.llvm_bindings = "@LLVM_BINDINGS@".split(' ')
config.host_os = "@HOST_OS@"
config.host_cc = "@HOST_CC@"
config.host_cxx = "@HOST_CXX@"
# Note: ldflags can contain double-quoted paths, so must use single quotes here.
config.host_ldflags = '@HOST_LDFLAGS@'
config.llvm_use_sanitizer = "@LLVM_USE_SANITIZER@"
config.llvm_host_triple = '@LLVM_HOST_TRIPLE@'
config.host_arch = "@HOST_ARCH@"
config.torch_mlir_plugin_src_root = "@CMAKE_SOURCE_DIR@"
config.torch_mlir_plugin_obj_root = "@CMAKE_BINARY_DIR@"
config.torch_mlir_python_packages_dir = "@TORCH_MLIR_PYTHON_PACKAGES_DIR@"
# Support substitution of the tools_dir with user parameters. This is
# used when we can't determine the tool dir at configuration time.
try:
config.llvm_tools_dir = config.llvm_tools_dir % lit_config.params
config.llvm_shlib_dir = config.llvm_shlib_dir % lit_config.params
except KeyError:
e = sys.exc_info()[1]
key, = e.args
lit_config.fatal("unable to find %r parameter, use '--param=%s=VALUE'" % (key,key))
import lit.llvm
lit.llvm.initialize(lit_config, config)
# Let the main config do the real work.
lit_config.load_config(config, "@CMAKE_CURRENT_SOURCE_DIR@/lit.cfg.py")

View File

@ -1,6 +1,6 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
import collections
from typing import Tuple, Optional, List, NamedTuple, Dict
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,11 +1,11 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,6 +1,6 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import enum

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
import typing
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,11 +1,11 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,11 +1,11 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
import typing
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,6 +1,6 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import typing
@ -9,7 +9,7 @@ import torch_mlir
import typing
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,13 +1,13 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
import collections
from typing import Tuple, Optional, NamedTuple
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()
NT = NamedTuple('NT', [('f1', Optional[torch.Tensor]),

View File

@ -1,11 +1,11 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -1,11 +1,11 @@
# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
# See LICENSE for license information.
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
# RUN: %PYTHON %s | torch-mlir-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()

View File

@ -0,0 +1,25 @@
#!/bin/bash
# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Simple script that does a CMake configure of this project as an external
# LLVM project so it can be tested in isolation to larger assemblies.
# This is meant for CI's and project maintainers.
set -eu -o errtrace
project_dir="$(cd $(dirname $0)/.. && pwd)"
llvm_project_dir="$project_dir/../llvm-project"
build_dir="$project_dir/build"
cmake -GNinja -B"$build_dir" "$llvm_project_dir/llvm" \
-DCMAKE_BUILD_TYPE=Release \
-DLLVM_ENABLE_PROJECTS=mlir \
-DLLVM_EXTERNAL_PROJECTS=torch-mlir \
-DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="$project_dir" \
-DMLIR_ENABLE_BINDINGS_PYTHON=ON
cd "$build_dir"
ninja tools/torch-mlir/all check-torch-mlir check-torch-mlir-plugin

View File

@ -0,0 +1,13 @@
#!/bin/bash
# Updates auto-generated ODS files for the `torch` dialect.
set -e
src_dir="$(realpath $(dirname $0)/..)"
build_dir="$(realpath "${TORCH_MLIR_BUILD_DIR:-$src_dir/build}")"
torch_ir_dir="${src_dir}/include/torch-mlir/Dialect/Torch/IR"
python_packages_dir="${build_dir}/tools/torch-mlir/python_packages"
#ninja -C "${build_dir}"
PYTHONPATH="${python_packages_dir}/torch_mlir" python -m torch_mlir_utils.codegen.torch_ods_gen \
--torch_ir_dir="${torch_ir_dir}" \
--debug_registry_dump="${torch_ir_dir}/JITOperatorRegistryDump.txt"

View File

@ -0,0 +1,25 @@
/*===-- torch-mlir-c/Dialects.h - Dialect functions --------------*- C -*-===*\
|* *|
|* Part of the LLVM Project, under the Apache License v2.0 with LLVM *|
|* Exceptions. *|
|* See https://llvm.org/LICENSE.txt for license information. *|
|* SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception *|
|* *|
\*===----------------------------------------------------------------------===*/
#ifndef TORCHMLIR_C_DIALECTS_H
#define TORCHMLIR_C_DIALECTS_H
#include "mlir-c/Registration.h"
#ifdef __cplusplus
extern "C" {
#endif
MLIR_DECLARE_CAPI_DIALECT_REGISTRATION(Torch, torch);
#ifdef __cplusplus
}
#endif
#endif // TORCHMLIR_C_DIALECTS_H

Some files were not shown because too many files have changed in this diff Show More