Currently the implementation is within a pattern that cannot be used without a pattern rewriter. Move the decomposition as a method of the operation to make it usable outside of pattern rewrites. Signed-off-by: MaheshRavishankar <mahesh.ravishankar@gmail.com>
53 lines
1.8 KiB
C++
53 lines
1.8 KiB
C++
//===- ConcatOpPatterns.cpp - Patterns related to tensor.concat lowering --===//
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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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#include "mlir/Dialect/Affine/IR/AffineOps.h"
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#include "mlir/Dialect/Arith/IR/Arith.h"
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#include "mlir/Dialect/Arith/Utils/Utils.h"
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#include "mlir/Dialect/Tensor/IR/Tensor.h"
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#include "mlir/Dialect/Tensor/Transforms/Transforms.h"
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#include "mlir/IR/PatternMatch.h"
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using namespace mlir;
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using namespace mlir::tensor;
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namespace {
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/// Decompose `tensor.concat` into `tensor.empty` and a chain of slice inserts.
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///
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/// %concat = tensor.concat dim(1) %0, %1 :
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/// (tensor<2x3xf32>, tensor<2x4xf32>) -> tensor<2x7xf32>
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///
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/// Becomes
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///
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/// %empty = tensor.empty() : tensor<2x7xf32>
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/// %insert0 = tensor.insert_slice %0 into %empty[0, 0][2, 3][1, 1]
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/// %concat = tensor.insert_slice %1 into %insert0[0, 3][2, 4][1, 1]
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struct DecomposeTensorConcatOp : public OpRewritePattern<ConcatOp> {
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using OpRewritePattern<ConcatOp>::OpRewritePattern;
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LogicalResult matchAndRewrite(ConcatOp concatOp,
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PatternRewriter &rewriter) const override {
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FailureOr<SmallVector<Value>> decomposed =
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concatOp.decomposeOperation(rewriter);
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if (failed(decomposed)) {
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return rewriter.notifyMatchFailure(
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concatOp, "failed to get the decomposed insert slices");
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}
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rewriter.replaceOp(concatOp, decomposed.value()[0]);
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return success();
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}
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};
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} // namespace
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void mlir::tensor::populateDecomposeTensorConcatPatterns(
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RewritePatternSet &patterns) {
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patterns.add<DecomposeTensorConcatOp>(patterns.getContext());
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}
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