3bcaf2eb93
Transpose operations on constant data were getting folded during the canonicalization process. This has compile time cost proportional to the constant size. Moving this to a separate pass to enable optionality and flexibility of how such scenarios can be handled. Reviewed By: rsuderman, jpienaar, stellaraccident Differential Revision: https://reviews.llvm.org/D124685
46 lines
1.5 KiB
C++
46 lines
1.5 KiB
C++
//===- TosaOptionalDecompositions.cpp -------------------------------------===//
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//
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// Part of the LLVM Project, 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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//
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// Pass to apply the Tosa operations decompositions
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// exposed as populate functions in
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// include/mlir/Dialect/Tosa/Transforms/Passes.h
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/Tosa/IR/TosaOps.h"
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#include "mlir/Dialect/Tosa/Transforms/PassDetail.h"
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#include "mlir/Dialect/Tosa/Transforms/Passes.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
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using namespace mlir;
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namespace {
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struct TosaOptionalDecompositions
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: public TosaOptionalDecompositionsBase<TosaOptionalDecompositions> {
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void runOnOperation() override {
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auto *ctx = &getContext();
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RewritePatternSet patterns(ctx);
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auto func = getOperation();
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mlir::tosa::populateTosaDecomposeConv2D(ctx, patterns);
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mlir::tosa::populateTosaDecomposeTransposeConv(ctx, patterns);
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mlir::tosa::populateTosaDecomposeDepthwise(ctx, patterns);
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if (applyPatternsAndFoldGreedily(func, std::move(patterns)).failed())
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signalPassFailure();
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}
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};
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} // namespace
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std::unique_ptr<Pass> mlir::tosa::createTosaOptionalDecompositions() {
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return std::make_unique<TosaOptionalDecompositions>();
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}
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