[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...")
add_subdirectory(frontends/pytorch)
endif()
message(STATUS "Adding PyTorch frontend support...")
add_subdirectory(frontends/pytorch)

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 @@
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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

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