Re-organize project structure to separate PyTorch dependencies from core project. (#2542)

This is a first step towards the structure we discussed here:
https://gist.github.com/stellaraccident/931b068aaf7fa56f34069426740ebf20

There are two primary goals:

1. Separate the core project (C++ dialects and conversions) from the
hard PyTorch dependencies. We move all such things into projects/pt1 as
a starting point since they are presently entangled with PT1-era APIs.
Additional work can be done to disentangle components from that
(specifically LTC is identified as likely ultimately living in a
`projects/ltc`).
2. Create space for native PyTorch2 Dynamo-based infra to be upstreamed
without needing to co-exist with the original TorchScript path.

Very little changes in this path with respect to build layering or
options. These can be updated in a followup without commingling
directory structure changes.

This also takes steps toward a couple of other layering enhancements:

* Removes the llvm-external-projects/torch-mlir-dialects sub-project,
collapsing it into the main tree.
* Audits and fixes up the core C++ build to account for issues found
while moving things. This is just an opportunistic pass through but
roughly ~halves the number of build actions for the project from the
high 4000's to the low 2000's.

It deviates from the discussed plan by having a `projects/` tree instead
of `compat/`. As I was thinking about it, this will better accommodate
the follow-on code movement.

Once things are roughly in place and the CI passing, followups will
focus on more in-situ fixes and cleanups.
pull/2549/head snapshot-20231103.1011
Stella Laurenzo 2023-11-02 19:45:55 -07:00 committed by GitHub
parent 536e45cb3b
commit 6961f0a247
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
316 changed files with 249 additions and 372 deletions

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@ -125,9 +125,8 @@ jobs:
-DCMAKE_OSX_ARCHITECTURES=arm64 \
-DLLVM_ENABLE_ASSERTIONS=ON \
-DLLVM_ENABLE_PROJECTS=mlir \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir;torch-mlir-dialects" \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir" \
-DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="$GITHUB_WORKSPACE" \
-DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR="${GITHUB_WORKSPACE}/externals/llvm-external-projects/torch-mlir-dialects" \
-DLLVM_TARGETS_TO_BUILD=AArch64 \
-DLLVM_USE_HOST_TOOLS=ON \
-DLLVM_ENABLE_ZSTD=OFF \

2
.gitignore vendored
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@ -26,7 +26,7 @@ __pycache__
bazel-*
# Autogenerated files
/python/torch_mlir/csrc/base_lazy_backend/generated
/projects/pt1/python/torch_mlir/csrc/base_lazy_backend/generated
#Docker builds
build_oot/

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@ -1,3 +1,7 @@
#-------------------------------------------------------------------------------
# Project setup and globals
#-------------------------------------------------------------------------------
cmake_minimum_required(VERSION 3.12)
if(POLICY CMP0068)
@ -17,30 +21,30 @@ if(POLICY CMP0116)
cmake_policy(SET CMP0116 OLD)
endif()
#-------------------------------------------------------------------------------
# Project setup and globals
#-------------------------------------------------------------------------------
project(torch-mlir LANGUAGES CXX C)
set(CMAKE_C_STANDARD 11)
set(CMAKE_CXX_STANDARD 17)
macro(torch_mlir_add_llvm_external_project name identifier location)
message(STATUS "Adding LLVM external project ${name} (${identifier}) -> ${location}")
if(NOT EXISTS "${location}/CMakeLists.txt")
message(FATAL_ERROR "External project location ${location} is not valid")
endif()
list(APPEND LLVM_EXTERNAL_PROJECTS ${name})
list(REMOVE_DUPLICATES LLVM_EXTERNAL_PROJECTS)
set(LLVM_EXTERNAL_${identifier}_SOURCE_DIR ${location} CACHE STRING "" FORCE)
set(LLVM_EXTERNAL_PROJECTS ${LLVM_EXTERNAL_PROJECTS} CACHE STRING "" FORCE)
endmacro()
#-------------------------------------------------------------------------------
# Project options
#-------------------------------------------------------------------------------
option(TORCH_MLIR_ENABLE_REFBACKEND "Enable reference backend" ON)
if(TORCH_MLIR_ENABLE_REFBACKEND)
add_definitions(-DTORCH_MLIR_ENABLE_REFBACKEND)
endif()
option(TORCH_MLIR_ENABLE_STABLEHLO "Add stablehlo dialect" ON)
if(TORCH_MLIR_ENABLE_STABLEHLO)
add_definitions(-DTORCH_MLIR_ENABLE_STABLEHLO)
endif()
option(TORCH_MLIR_OUT_OF_TREE_BUILD "Specifies an out of tree build" OFF)
# PT1 options.
option(TORCH_MLIR_ENABLE_PROJECT_PT1 "Enables the PyTorch1 project under projects/pt1" OFF)
# TODO: Rename/scope these. They use historic names for now to ease migration
# burden.
option(TORCH_MLIR_ENABLE_JIT_IR_IMPORTER "Enables JIT IR Importer" ON)
option(TORCH_MLIR_ENABLE_LTC "Enables LTC backend" OFF)
option(TORCH_MLIR_ENABLE_ONLY_MLIR_PYTHON_BINDINGS "Build Torch dialect MLIR Python bindings but neither JIT IR Importer nor LTC backend" OFF)
@ -48,21 +52,17 @@ if(TORCH_MLIR_ENABLE_ONLY_MLIR_PYTHON_BINDINGS)
set(TORCH_MLIR_ENABLE_JIT_IR_IMPORTER OFF)
set(TORCH_MLIR_ENABLE_LTC OFF)
endif()
if(TORCH_MLIR_ENABLE_LTC)
set(ENV{TORCH_MLIR_ENABLE_LTC} 1)
message(STATUS "LTC Backend build is enabled")
else()
set(ENV{TORCH_MLIR_ENABLE_LTC} 0)
message(STATUS "LTC Backend build is disabled")
# Force enable the PT1 project if either the JIT_IR_IMPORTER or LTC is enabled.
if(NOT TORCH_MLIR_ENABLE_PROJECT_PT1)
if(TORCH_MLIR_ENABLE_JIT_IR_IMPORTER OR TORCH_MLIR_ENABLE_LTC)
message(STATUS "Enabling projects/pt1 because features requiring it are enabled")
set(TORCH_MLIR_ENABLE_PROJECT_PT1 ON)
endif()
endif()
torch_mlir_add_llvm_external_project(
torch-mlir-dialects
TORCH_MLIR_DIALECTS
${CMAKE_CURRENT_SOURCE_DIR}/externals/llvm-external-projects/torch-mlir-dialects)
option(TORCH_MLIR_OUT_OF_TREE_BUILD "Specifies an out of tree build" OFF)
#-------------------------------------------------------------------------------
# Configure out-of-tree vs in-tree build
#-------------------------------------------------------------------------------
if(CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR OR TORCH_MLIR_OUT_OF_TREE_BUILD)
message(STATUS "Torch-MLIR out-of-tree build.")
@ -99,11 +99,10 @@ if(CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR OR TORCH_MLIR_OUT_OF_TREE_
# Don't try to compile the python extensions at the moment. We need
# to import lots of dependencies from AddMLIRPython to make this work.
set(MLIR_ENABLE_BINDINGS_PYTHON 1)
set(MLIR_ENABLE_BINDINGS_PYTHON ON)
set(TORCH-MLIR_BUILT_STANDALONE 1)
set(TORCH-MLIR_BUILT_STANDALONE ON)
set(BACKEND_PACKAGE_STRING "LLVM ${LLVM_PACKAGE_VERSION}")
add_subdirectory(externals/llvm-external-projects/torch-mlir-dialects)
else()
message(STATUS "Torch-MLIR in-tree build.")
# In-tree build with LLVM_EXTERNAL_PROJECTS=torch-mlir
@ -169,11 +168,7 @@ add_subdirectory(lib)
add_subdirectory(tools)
add_custom_target(check-torch-mlir-all)
add_dependencies(check-torch-mlir-all
check-torch-mlir
check-torch-mlir-dialects
check-torch-mlir-capi
)
add_dependencies(check-torch-mlir-all check-torch-mlir)
if(MLIR_ENABLE_BINDINGS_PYTHON)
# If parent projects want to configure where to place the python packages,
@ -181,12 +176,6 @@ if(MLIR_ENABLE_BINDINGS_PYTHON)
if(NOT TORCH_MLIR_PYTHON_PACKAGES_DIR)
set(TORCH_MLIR_PYTHON_PACKAGES_DIR "${CMAKE_CURRENT_BINARY_DIR}/python_packages")
endif()
add_dependencies(check-torch-mlir-all
check-torch-mlir-python
)
add_subdirectory(python)
else()
add_custom_target(TorchMLIRPythonModules)
endif()
add_subdirectory(test)
@ -237,3 +226,11 @@ if (TORCH_MLIR_ENABLE_STABLEHLO)
EXCLUDE_FROM_ALL)
include_directories(${CMAKE_CURRENT_SOURCE_DIR}/externals/stablehlo)
endif()
#-------------------------------------------------------------------------------
# Sub-projects
#-------------------------------------------------------------------------------
if(TORCH_MLIR_ENABLE_PROJECT_PT1)
add_subdirectory(projects/pt1)
endif()

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@ -29,7 +29,7 @@ if not TORCH_INCLUDE_DIR.is_dir():
TORCH_INCLUDE_DIR = TORCH_DIR
TORCHGEN_DIR = Path(torchgen.__path__[0]).resolve()
TORCH_MLIR_DIR = Path(__file__).resolve().parent.parent
TORCH_MLIR_PT1_DIR = TORCH_MLIR_DIR / "projects" / "pt1"
def reindent(text, prefix=""):
return indent(dedent(text), prefix)
@ -114,12 +114,12 @@ class GenTorchMlirLTC:
self.binary_dir = Path(binary_dir)
assert self.binary_dir.is_dir(), f"Binary directory not found: {self.binary_dir}"
self.source_yaml = self.binary_dir.joinpath("generated_native_functions.yaml")
self.backend_path = TORCH_MLIR_DIR.joinpath(
self.backend_path = TORCH_MLIR_PT1_DIR.joinpath(
"python", "torch_mlir", "csrc", "base_lazy_backend"
)
assert self.backend_path.is_dir()
assert self.backend_path.is_dir(), f"Backend path not found: {self.backend_path}"
self.generated_path = self.binary_dir.joinpath(
"python", "torch_mlir", "csrc", "base_lazy_backend", "generated"
"projects", "pt1", "python", "torch_mlir", "csrc", "base_lazy_backend", "generated"
)
self.generated_path.mkdir(parents=True, exist_ok=True)

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@ -19,9 +19,8 @@ cmake -GNinja -B"$build_dir" "$llvm_project_dir/llvm" \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
-DLLVM_ENABLE_PROJECTS=mlir \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir;torch-mlir-dialects" \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir" \
-DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="$project_dir" \
-DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR="${project_dir}"/externals/llvm-external-projects/torch-mlir-dialects \
-DMLIR_ENABLE_BINDINGS_PYTHON=ON \
-DLLVM_ENABLE_ASSERTIONS=ON \
-DLLVM_TARGETS_TO_BUILD=host

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@ -234,9 +234,8 @@ function build_in_tree() {
-DCMAKE_C_COMPILER_LAUNCHER=ccache \
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
-DLLVM_ENABLE_PROJECTS=mlir \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir;torch-mlir-dialects" \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir" \
-DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="/main_checkout/torch-mlir" \
-DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR="/main_checkout/torch-mlir/externals/llvm-external-projects/torch-mlir-dialects" \
-DLLVM_TARGETS_TO_BUILD=host \
-DMLIR_ENABLE_BINDINGS_PYTHON=ON \
-DTORCH_MLIR_ENABLE_LTC=${enable_ltc} \
@ -246,7 +245,7 @@ function build_in_tree() {
-DTM_PYTORCH_INSTALL_WITHOUT_REBUILD=${TM_PYTORCH_INSTALL_WITHOUT_REBUILD} \
-DPython3_EXECUTABLE="$(which python3)" \
/main_checkout/torch-mlir/externals/llvm-project/llvm
cmake --build /main_checkout/torch-mlir/build
cmake --build /main_checkout/torch-mlir/build --target tools/torch-mlir/all
ccache -s
}
@ -288,7 +287,7 @@ function test_in_tree() {
cmake --build /main_checkout/torch-mlir/build --target check-torch-mlir-all
cd /main_checkout/torch-mlir/
export PYTHONPATH="/main_checkout/torch-mlir/build/tools/torch-mlir/python_packages/torch_mlir"
export PYTHONPATH="/main_checkout/torch-mlir/build/tools/torch-mlir/python_packages/torch_mlir:/main_checkout/torch-mlir/projects/pt1"
case $torch_version in
nightly)

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@ -11,9 +11,8 @@ cmake -GNinja -Bbuild \
-DLLVM_TARGETS_TO_BUILD=host \
-DMLIR_ENABLE_BINDINGS_PYTHON=ON \
-DPython3_FIND_VIRTUALENV=ONLY \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir;torch-mlir-dialects" \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir" \
-DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="$PWD" \
-DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR="$PWD/externals/llvm-external-projects/torch-mlir-dialects" \
-DPython3_EXECUTABLE="$(which python)" \
$GITHUB_WORKSPACE/externals/llvm-project/llvm

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@ -35,9 +35,8 @@ cmake -GNinja -Bbuild \
-DCMAKE_BUILD_TYPE=Release \
-DPython3_FIND_VIRTUALENV=ONLY \
-DLLVM_ENABLE_PROJECTS=mlir \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir;torch-mlir-dialects" \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir" \
-DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="$PWD" \
-DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR="$PWD"/externals/llvm-external-projects/torch-mlir-dialects \
-DMLIR_ENABLE_BINDINGS_PYTHON=ON \
-DLLVM_TARGETS_TO_BUILD=host \
externals/llvm-project/llvm
@ -360,6 +359,7 @@ Torch-MLIR has two types of tests:
Alternatively, you can run the tests via Python directly:
```shell
cd projects/pt1
python -m e2e_testing.main -f 'AtenEmbeddingBag'
```
@ -374,7 +374,7 @@ ninja check-torch-mlir-all
This can be broken down into
```
ninja check-torch-mlir check-torch-mlir-dialects check-torch-mlir-python
ninja check-torch-mlir check-torch-mlir-python
```
To run more fine-grained tests, you can do, for `check-torch-mlir`:

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@ -1,64 +0,0 @@
if(CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR)
# The cmake configuration to build torch-mlir-dialects as
# an out-of-tree project has not been implemented. It can
# be built as part of LLVM or as a subdirectory of torch-mlir.
message(FATAL_ERROR
"This project is intended to be built as part of LLVM via "
"-DLLVM_EXTERNAL_PROJECTS=torch-mlir-dialects "
"-DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR=${CMAKE_CURRENT_SOURCE_DIR}")
endif()
option(MLIR_ENABLE_BINDINGS_PYTHON "Enables MLIR Python Bindings" OFF)
set(TORCH_MLIR_DIALECTS_SOURCE_DIR "${CMAKE_CURRENT_SOURCE_DIR}")
set(TORCH_MLIR_DIALECTS_BINARY_DIR "${CMAKE_CURRENT_BINARY_DIR}")
message(STATUS "Building torch-mlir-dialects project at ${TORCH_MLIR_DIALECTS_SOURCE_DIR} (into ${TORCH_MLIR_DIALECTS_BINARY_DIR})")
if(MLIR_FOUND)
message(STATUS "LLVM and MLIR packages have already been configured.")
else()
message(STATUS "torch-mlir-dialect is being built in-tree")
# An in-tree build, LLVM hasn't been installed yet.
# We compute these properties manually, they're otherwise
# contributed by find_package(MLIR...)
set(MLIR_MAIN_SRC_DIR ${LLVM_MAIN_SRC_DIR}/../mlir)
set(MLIR_INCLUDE_DIR ${LLVM_MAIN_SRC_DIR}/../mlir/include)
set(MLIR_GENERATED_INCLUDE_DIR ${LLVM_BINARY_DIR}/tools/mlir/include)
set(MLIR_INCLUDE_DIRS ${MLIR_INCLUDE_DIR} ${MLIR_GENERATED_INCLUDE_DIR})
set(LLVM_INCLUDE_DIRS ${LLVM_MAIN_INCLUDE_DIR})
# Configure CMake and tablegen.
list(APPEND CMAKE_MODULE_PATH ${MLIR_MAIN_SRC_DIR}/cmake/modules)
list(APPEND CMAKE_MODULE_PATH ${LLVM_MAIN_SRC_DIR}/cmake)
include(TableGen)
include(AddLLVM)
include(AddMLIR)
endif()
function(torch_mlir_dialects_target_includes target)
set(_dirs
$<BUILD_INTERFACE:${MLIR_INCLUDE_DIRS}>
$<BUILD_INTERFACE:${TORCH_MLIR_DIALECTS_SOURCE_DIR}/include>
$<BUILD_INTERFACE:${TORCH_MLIR_DIALECTS_BINARY_DIR}/include>
)
# In LLVM parlance, the actual target may just be an interface and may not
# be responsible for actually compiling anything. The corresponding obj.
# target, when present, is just used for compilation and does not
# contribute to the interface properties.
# TODO: Normalize this upstream.
target_include_directories(${target} PUBLIC "${_dirs}")
if(TARGET obj.${target})
target_include_directories(obj.${target} PRIVATE "${_dirs}")
endif()
endfunction()
# TODO: Needed for tablegen. Remove.
include_directories(SYSTEM ${MLIR_INCLUDE_DIRS})
include_directories(SYSTEM ${LLVM_INCLUDE_DIRS})
include_directories(SYSTEM ${TORCH_MLIR_DIALECTS_SOURCE_DIR}/include)
add_subdirectory(include)
add_subdirectory(lib)
add_subdirectory(tools)
add_subdirectory(test)

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@ -1,11 +0,0 @@
# Torch-MLIR Dialects Project
Sources for torch-mlir's public dialects (containing ops/types/attributes that
are unique to Torch-MLIR at the moment)
This project is intended to be used via LLVM's external projects setup:
* `-DLLVM_EXTERNAL_PROJECTS=torch-mlir-dialects`
* `-DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR={this_directory}`
It depends on the `mlir` project.

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@ -1 +0,0 @@
add_subdirectory(torch-mlir-dialects)

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@ -1 +0,0 @@
add_subdirectory(Dialect)

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@ -1 +0,0 @@
add_subdirectory(TMTensor)

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@ -1,21 +0,0 @@
# lit needs to find the tools, and the location differs for in-tree and out-of-tree builds.
get_target_property(TORCH_MLIR_DIALECTS_TOOLS_DIR torch-mlir-dialects-opt RUNTIME_OUTPUT_DIRECTORY)
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(TORCH_MLIR_DIALECTS_TEST_DEPENDS
FileCheck count not
torch-mlir-dialects-opt
)
add_lit_testsuite(check-torch-mlir-dialects "Running the torch-mlir-dialects regression tests"
${CMAKE_CURRENT_BINARY_DIR}
DEPENDS ${TORCH_MLIR_DIALECTS_TEST_DEPENDS}
)
set_target_properties(check-torch-mlir-dialects PROPERTIES FOLDER "Tests")
add_lit_testsuites(TORCH_MLIR_DIALECTS ${CMAKE_CURRENT_SOURCE_DIR} DEPENDS ${TORCH_MLIR_DIALECTS_TEST_DEPENDS})

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@ -1,27 +0,0 @@
# -*- Python -*-
# 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
# Also available under a BSD-style license. See LICENSE.
@LIT_SITE_CFG_IN_HEADER@
import sys
config.torch_mlir_dialects_obj_root = "@TORCH_MLIR_DIALECTS_BINARY_DIR@"
config.torch_mlir_dialects_tools_dir = "@TORCH_MLIR_DIALECTS_TOOLS_DIR@"
config.llvm_src_root = "@LLVM_SOURCE_DIR@"
config.llvm_obj_root = "@LLVM_BINARY_DIR@"
config.llvm_tools_dir = "@LLVM_TOOLS_DIR@"
config.llvm_lib_dir = "@LLVM_LIBS_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 = sys.executable
import lit.llvm
lit.llvm.initialize(lit_config, config)
# Let the main config do the real work.
lit_config.load_config(config, "@TORCH_MLIR_DIALECTS_SOURCE_DIR@/test/lit.cfg.py")

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@ -1 +0,0 @@
add_subdirectory(torch-mlir-dialects-opt)

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@ -1,22 +0,0 @@
set(LIBS
MLIRArithDialect
MLIRDialect
MLIRLinalgDialect
MLIRMemRefDialect
MLIROptLib
MLIRSCFDialect
MLIRSCFTransforms
MLIRFuncDialect
MLIRTensorDialect
MLIRTransforms
TorchMLIRTMTensorDialect
TorchMLIRTMTensorPasses
)
add_llvm_tool(torch-mlir-dialects-opt
torch-mlir-dialects-opt.cpp
DEPENDS
${LIBS}
)
target_link_libraries(torch-mlir-dialects-opt PRIVATE ${LIBS})

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@ -1,48 +0,0 @@
//===------------------------------------------------------------*- 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
// Also available under a BSD-style license. See LICENSE.
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/Arith/IR/Arith.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/Dialect/Linalg/IR/Linalg.h"
#include "mlir/Dialect/MemRef/IR/MemRef.h"
#include "mlir/Dialect/SCF/IR/SCF.h"
#include "mlir/Dialect/SCF/Transforms/Passes.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "mlir/IR/AsmState.h"
#include "mlir/IR/Dialect.h"
#include "mlir/Tools/mlir-opt/MlirOptMain.h"
#include "mlir/Transforms/Passes.h"
#include "torch-mlir-dialects/Dialect/TMTensor/IR/ScalarLoopOpInterface.h"
#include "torch-mlir-dialects/Dialect/TMTensor/IR/TMTensorDialect.h"
#include "torch-mlir-dialects/Dialect/TMTensor/Transforms/Passes.h"
using namespace mlir;
int main(int argc, char **argv) {
registerAsmPrinterCLOptions();
registerMLIRContextCLOptions();
registerTransformsPasses();
registerSCFPasses();
// Local dialects.
mlir::torch::TMTensor::registerPasses();
DialectRegistry registry;
registry.insert<
// Local dialects
mlir::torch::TMTensor::TMTensorDialect,
// Upstream dialects
mlir::arith::ArithDialect, mlir::linalg::LinalgDialect,
mlir::func::FuncDialect, mlir::memref::MemRefDialect,
mlir::scf::SCFDialect, mlir::tensor::TensorDialect>();
return mlir::asMainReturnCode(mlir::MlirOptMain(
argc, argv, "MLIR modular optimizer driver\n", registry));
}

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@ -1 +1,2 @@
add_subdirectory(torch-mlir)
add_subdirectory(torch-mlir-dialects)

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@ -15,7 +15,13 @@
namespace mlir {
namespace torch {
// Registers all dialects that this project produces and any dependencies.
void registerAllDialects(mlir::DialectRegistry &registry);
// Registers dialects that may be needed to parse torch-mlir inputs and
// test cases.
void registerOptionalInputDialects(mlir::DialectRegistry &registry);
void registerAllPasses();
} // namespace torch

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@ -9,8 +9,6 @@ add_mlir_public_c_api_library(TorchMLIRCAPI
${PROJECT_SOURCE_DIR}/include/torch-mlir-c/
ENABLE_AGGREGATION
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
MLIRIR

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@ -1,14 +1,18 @@
add_subdirectory(CAPI)
add_subdirectory(Conversion)
add_subdirectory(Dialect)
add_subdirectory(RefBackend)
get_property(extension_libs GLOBAL PROPERTY MLIR_EXTENSION_LIBS)
set(LinkedLibs
MLIRComplexDialect
MLIRFuncDialect
MLIRFuncInlinerExtension
MLIRIR
MLIRMLProgramDialect
MLIRMemRefDialect
MLIRSCFDialect
MLIRTensorDialect
MLIRTosaDialect
MLIRSupport
${extension_libs}
TorchMLIRTorchPasses
TorchMLIRTorchConversionDialect
@ -20,15 +24,16 @@ set(LinkedLibs
TorchMLIRTMTensorDialect
TorchMLIRConversionPasses
TorchMLIRRefBackend
)
if(TORCH_MLIR_ENABLE_REFBACKEND)
add_subdirectory(RefBackend)
list(APPEND LinkedLibs TorchMLIRRefBackend)
endif()
add_mlir_library(TorchMLIRInitAll
InitAll.cpp
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
${LinkedLibs}
)

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@ -27,10 +27,6 @@ add_mlir_library(TorchMLIRConversionPasses
DEPENDS
TorchMLIRConversionPassIncGen
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
${linked_libs}
#${torch_mlir_conversion_libs}
)

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@ -7,9 +7,6 @@ add_mlir_conversion_library(TorchMLIRTorchConversionToMLProgram
DEPENDS
TorchMLIRConversionPassIncGen
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
MLIRIR
MLIRLinalgDialect

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@ -7,9 +7,6 @@ add_mlir_conversion_library(TorchMLIRTorchToArith
DEPENDS
TorchMLIRConversionPassIncGen
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
MLIRIR
MLIRPass

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@ -17,9 +17,6 @@ add_mlir_conversion_library(TorchMLIRTorchToLinalg
DEPENDS
TorchMLIRConversionPassIncGen
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
MLIRIR
MLIRPass

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@ -7,9 +7,6 @@ add_mlir_conversion_library(TorchMLIRTorchToSCF
DEPENDS
TorchMLIRConversionPassIncGen
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
MLIRIR
MLIRPass

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@ -14,9 +14,6 @@ add_mlir_conversion_library(TorchMLIRTorchToStablehlo
DEPENDS
TorchMLIRConversionPassIncGen
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
MLIRIR
MLIRPass

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@ -7,9 +7,6 @@ TorchToTMTensor.cpp
DEPENDS
TorchMLIRConversionPassIncGen
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
MLIRIR
MLIRPass

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@ -9,9 +9,6 @@ add_mlir_conversion_library(TorchMLIRTorchToTosa
DEPENDS
TorchMLIRConversionPassIncGen
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
MLIRIR
MLIRPass

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@ -1,2 +1,3 @@
add_subdirectory(TMTensor)
add_subdirectory(Torch)
add_subdirectory(TorchConversion)

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@ -26,4 +26,4 @@ add_mlir_library(TorchMLIRTMTensorDialect
MLIRViewLikeInterface
)
torch_mlir_dialects_target_includes(TorchMLIRTMTensorDialect)
torch_mlir_target_includes(TorchMLIRTMTensorDialect)

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@ -21,3 +21,5 @@ add_mlir_library(TorchMLIRTMTensorPasses
MLIRTensorDialect
MLIRTransforms
)
torch_mlir_target_includes(TorchMLIRTMTensorPasses)

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@ -12,9 +12,6 @@ add_mlir_library(TorchMLIRTorchDialect
MLIRTorchOpsIncGen
MLIRTorchTypesIncGen
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
MLIRBytecodeOpInterface
MLIRBytecodeReader

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@ -26,9 +26,6 @@ add_mlir_library(TorchMLIRTorchPasses
DEPENDS
TorchMLIRTorchPassIncGen
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
MLIRIR
MLIRPass

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@ -9,9 +9,6 @@ add_mlir_dialect_library(TorchMLIRTorchConversionDialect
MLIRTorchConversionOpsIncGen
MLIRTorchTypesIncGen
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
MLIRIR
MLIRSupport

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@ -39,9 +39,6 @@ add_mlir_library(TorchMLIRTorchConversionPasses
DEPENDS
TorchMLIRTorchConversionPassIncGen
LINK_COMPONENTS
Core
LINK_LIBS PUBLIC
${LinkedLibs}
)

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@ -9,8 +9,15 @@
#include "torch-mlir/InitAll.h"
#include "mlir/Dialect/Complex/IR/Complex.h"
#include "mlir/Dialect/Func/Extensions/InlinerExtension.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/Dialect/Linalg/IR/Linalg.h"
#include "mlir/Dialect/MLProgram/IR/MLProgram.h"
#include "mlir/Dialect/MemRef/IR/MemRef.h"
#include "mlir/Dialect/SCF/IR/SCF.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "mlir/Dialect/Tosa/IR/TosaOps.h"
#include "mlir/IR/Dialect.h"
#include "torch-mlir-dialects/Dialect/TMTensor/IR/TMTensorDialect.h"
#include "torch-mlir-dialects/Dialect/TMTensor/Transforms/Passes.h"
@ -29,11 +36,22 @@ void mlir::torch::registerAllDialects(mlir::DialectRegistry &registry) {
mlir::func::registerInlinerExtension(registry);
}
// TODO: Break this up when backends are separated.
void mlir::torch::registerOptionalInputDialects(
mlir::DialectRegistry &registry) {
registry.insert<complex::ComplexDialect, linalg::LinalgDialect,
memref::MemRefDialect, ml_program::MLProgramDialect,
scf::SCFDialect, tensor::TensorDialect, tosa::TosaDialect>();
}
void mlir::torch::registerAllPasses() {
mlir::torch::registerTorchPasses();
mlir::torch::registerTorchConversionPasses();
mlir::torch::registerConversionPasses();
mlir::torch::RefBackend::registerRefBackendPasses();
mlir::torch::TMTensor::registerPasses();
#ifdef TORCH_MLIR_ENABLE_REFBACKEND
mlir::torch::RefBackend::registerRefBackendPasses();
#endif
}

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@ -0,0 +1,27 @@
message(STATUS "Building PyTorch1 compatibility project")
if(TORCH_MLIR_ENABLE_LTC)
set(ENV{TORCH_MLIR_ENABLE_LTC} 1)
message(STATUS "LTC Backend build is enabled")
else()
set(ENV{TORCH_MLIR_ENABLE_LTC} 0)
message(STATUS "LTC Backend build is disabled")
endif()
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/python/torch_mlir/cmake/modules")
################################################################################
# Setup python.
################################################################################
if(MLIR_ENABLE_BINDINGS_PYTHON)
add_dependencies(check-torch-mlir-all
check-torch-mlir-pt1
)
add_subdirectory(python)
else()
add_custom_target(TorchMLIRPythonModules)
endif()
add_subdirectory(test)

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@ -29,7 +29,7 @@ if (NOT TORCH_MLIR_USE_INSTALLED_PYTORCH)
set(ENV{CMAKE_C_COMPILER_LAUNCHER} ${CMAKE_C_COMPILER_LAUNCHER})
set(ENV{CMAKE_CXX_COMPILER_LAUNCHER} ${CMAKE_CXX_COMPILER_LAUNCHER})
execute_process(
COMMAND ${CMAKE_CURRENT_SOURCE_DIR}/../build_tools/build_libtorch.sh
COMMAND ${TORCH_MLIR_SOURCE_DIR}/build_tools/build_libtorch.sh
RESULT_VARIABLE _result
)
if(_result)

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