mirror of https://github.com/llvm/torch-mlir
95 lines
3.8 KiB
C++
95 lines
3.8 KiB
C++
//===----------------------------------------------------------------------===//
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//
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// This file is licensed under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "npcomp/InitAll.h"
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#include "npcomp/Dialect/Basicpy/IR/BasicpyDialect.h"
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#include "npcomp/Dialect/Basicpy/Transforms/Passes.h"
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#include "npcomp/Dialect/NpcompRt/IR/NpcompRtDialect.h"
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#include "npcomp/Dialect/Numpy/IR/NumpyDialect.h"
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#include "npcomp/Dialect/TCF/IR/TCFDialect.h"
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#include "npcomp/Dialect/TCP/IR/TCPDialect.h"
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#include "npcomp/Conversion/BasicpyToStd/Passes.h"
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#include "npcomp/Conversion/TCFToTCP/TCFToTCP.h"
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#include "npcomp/Conversion/TCPToLinalg/TCPToLinalg.h"
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#include "npcomp/E2E/E2E.h"
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#ifdef NPCOMP_ENABLE_IREE
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#include "iree/tools/init_compiler_modules.h"
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#include "iree/tools/init_iree_dialects.h"
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#include "iree/tools/init_iree_passes.h"
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#include "iree/tools/init_mlir_dialects.h"
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#include "iree/tools/init_mlir_passes.h"
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#include "iree/tools/init_targets.h"
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#include "iree/tools/init_xla_dialects.h"
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// TODO: For some reason these aren't bundled with the rest.
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#include "iree/compiler/Conversion/HLOToLinalg/Passes.h"
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#include "iree/compiler/Conversion/init_conversions.h"
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#include "iree/compiler/Dialect/HAL/Conversion/Passes.h"
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#endif // NPCOMP_ENABLE_IREE
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static void registerDependencyDialects() {
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#ifdef NPCOMP_ENABLE_IREE
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// TODO: We should probably be registering the MLIR dialects regardless
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// of building with IREE, but we have to do it with IREE, and the
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// dependencies are coming from there and wouldn't be great to duplicate.
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// See iree/tools:init_mlir_passes_and_dialects
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mlir::registerMlirDialects();
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mlir::registerXLADialects();
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mlir::iree_compiler::registerIreeDialects();
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mlir::iree_compiler::registerIreeCompilerModuleDialects();
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#endif // NPCOMP_ENABLE_IREE
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}
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static void registerDependencyPasses() {
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#ifdef NPCOMP_ENABLE_IREE
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// TODO: We should probably be registering the MLIR passes regardless
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// of building with IREE, but we have to do it with IREE, and the
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// dependencies are coming from there and wouldn't be great to duplicate.
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// See iree/tools:init_mlir_passes_and_dialects
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mlir::registerMlirPasses();
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mlir::iree_compiler::registerAllIreePasses();
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mlir::iree_compiler::registerHALConversionPasses();
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mlir::iree_compiler::registerHALTargetBackends();
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mlir::iree_compiler::registerLinalgToSPIRVPasses();
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mlir::iree_compiler::registerHLOToLinalgPasses();
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mlir::iree_compiler::registerLinalgToLLVMPasses();
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#endif // NPCOMP_ENABLE_IREE
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}
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void mlir::NPCOMP::registerAllDialects() {
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registerDialect<Basicpy::BasicpyDialect>();
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registerDialect<Numpy::NumpyDialect>();
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registerDialect<npcomp_rt::NpcompRtDialect>();
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registerDialect<tcf::TCFDialect>();
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registerDialect<tcp::TCPDialect>();
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registerDependencyDialects();
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}
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void mlir::NPCOMP::registerAllPasses() {
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using mlir::Pass; // The .inc files reference this unqualified.
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#define GEN_PASS_REGISTRATION
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#include "npcomp/E2E/Passes.h.inc"
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// TODO: The following pipeline registration uses pass manager options,
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// which causes vague linkage issues when co-mingled with code that
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// uses RTTI.
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mlir::PassPipelineRegistration<E2ELoweringPipelineOptions>(
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"e2e-lowering-pipeline", "E2E lowering pipeline.",
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mlir::NPCOMP::createE2ELoweringPipeline);
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mlir::PassPipelineRegistration<>(
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"lower-to-hybrid-tensor-memref-pipeline",
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"Pipeline lowering to hybrid tensor/memref.",
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mlir::NPCOMP::createLowerToHybridTensorMemRefPipeline);
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#define GEN_PASS_REGISTRATION
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#include "npcomp/Conversion/Passes.h.inc"
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#define GEN_PASS_REGISTRATION
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#include "npcomp/Dialect/Basicpy/Transforms/Passes.h.inc"
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registerDependencyPasses();
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}
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