126e7eaf0d
Apply scale should be optionally disabled when lowering via TosaToStandard. In most cases it should persist until the lowering to specific backend. Reviewed By: jpienaar Differential Revision: https://reviews.llvm.org/D122948
48 lines
1.6 KiB
C++
48 lines
1.6 KiB
C++
//===- TosaToTensor.cpp - Lowering Tosa to Tensor Dialect -------------===//
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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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// These rewriters lower from the Tosa to the Tensor dialect.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Conversion/TosaToTensor/TosaToTensor.h"
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#include "mlir/Dialect/Tensor/IR/Tensor.h"
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#include "mlir/Dialect/Tosa/IR/TosaOps.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
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using namespace mlir;
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using namespace tosa;
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namespace {
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class SliceOpConverter : public OpRewritePattern<tosa::SliceOp> {
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public:
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using OpRewritePattern<tosa::SliceOp>::OpRewritePattern;
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LogicalResult matchAndRewrite(tosa::SliceOp sliceOp,
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PatternRewriter &rewriter) const final {
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Value input = sliceOp.input();
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SmallVector<int64_t> strides;
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strides.resize(sliceOp.getType().template cast<ShapedType>().getRank(), 1);
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rewriter.replaceOpWithNewOp<tensor::ExtractSliceOp>(
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sliceOp, sliceOp.getType(), input, ValueRange({}), ValueRange({}),
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ValueRange({}), sliceOp.start(), sliceOp.size(),
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rewriter.getI64ArrayAttr(strides));
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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::tosa::populateTosaToTensorConversionPatterns(
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RewritePatternSet *patterns) {
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patterns->add<SliceOpConverter>(patterns->getContext());
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}
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