1 //===- Bufferize.cpp - Bufferization for `tensor` dialect ops -------------===//
2 //
3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4 // See https://llvm.org/LICENSE.txt for license information.
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6 //
7 //===----------------------------------------------------------------------===//
8 //
9 // This file implements bufferization of `tensor` dialect ops
10 //
11 //===----------------------------------------------------------------------===//
12 
13 #include "mlir/Transforms/Bufferize.h"
14 #include "PassDetail.h"
15 #include "mlir/Dialect/StandardOps/IR/Ops.h"
16 #include "mlir/Dialect/Tensor/IR/Tensor.h"
17 #include "mlir/Dialect/Tensor/Transforms/Passes.h"
18 #include "mlir/Transforms/DialectConversion.h"
19 
20 using namespace mlir;
21 
22 namespace {
23 class BufferizeExtractOp : public OpConversionPattern<tensor::ExtractOp> {
24 public:
25   using OpConversionPattern::OpConversionPattern;
26   LogicalResult
27   matchAndRewrite(tensor::ExtractOp op, ArrayRef<Value> operands,
28                   ConversionPatternRewriter &rewriter) const override {
29     tensor::ExtractOp::Adaptor adaptor(operands);
30     rewriter.replaceOpWithNewOp<LoadOp>(op, adaptor.tensor(),
31                                         adaptor.indices());
32     return success();
33   }
34 };
35 } // namespace
36 
37 void mlir::populateTensorBufferizePatterns(
38     MLIRContext *context, BufferizeTypeConverter &typeConverter,
39     OwningRewritePatternList &patterns) {
40   patterns.insert<BufferizeExtractOp>(typeConverter, context);
41 }
42 
43 namespace {
44 struct TensorBufferizePass : public TensorBufferizeBase<TensorBufferizePass> {
45   void runOnFunction() override {
46     auto *context = &getContext();
47     BufferizeTypeConverter typeConverter;
48     OwningRewritePatternList patterns;
49     ConversionTarget target(*context);
50 
51     populateTensorBufferizePatterns(context, typeConverter, patterns);
52     target.addIllegalOp<tensor::ExtractOp>();
53     target.addLegalDialect<StandardOpsDialect>();
54 
55     if (failed(
56             applyPartialConversion(getFunction(), target, std::move(patterns))))
57       signalPassFailure();
58   }
59 };
60 } // namespace
61 
62 std::unique_ptr<Pass> mlir::createTensorBufferizePass() {
63   return std::make_unique<TensorBufferizePass>();
64 }
65