xref: /llvm-project/mlir/lib/Dialect/Tensor/Transforms/ConcatOpPatterns.cpp (revision de6d48d05d7aa233248d2f725654931cb1e2f6fd)
1 //===- ConcatOpPatterns.cpp - Patterns related to tensor.concat lowering --===//
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 #include "mlir/Dialect/Affine/IR/AffineOps.h"
10 #include "mlir/Dialect/Arith/IR/Arith.h"
11 #include "mlir/Dialect/Arith/Utils/Utils.h"
12 #include "mlir/Dialect/Tensor/IR/Tensor.h"
13 #include "mlir/Dialect/Tensor/Transforms/Transforms.h"
14 #include "mlir/IR/PatternMatch.h"
15 
16 using namespace mlir;
17 using namespace mlir::tensor;
18 
19 namespace {
20 
21 /// Decompose `tensor.concat` into `tensor.empty` and a chain of slice inserts.
22 ///
23 /// %concat = tensor.concat dim(1) %0, %1 :
24 ///         (tensor<2x3xf32>, tensor<2x4xf32>) -> tensor<2x7xf32>
25 ///
26 /// Becomes
27 ///
28 /// %empty = tensor.empty() : tensor<2x7xf32>
29 /// %insert0 = tensor.insert_slice %0 into %empty[0, 0][2, 3][1, 1]
30 /// %concat = tensor.insert_slice %1 into %insert0[0, 3][2, 4][1, 1]
31 struct DecomposeTensorConcatOp : public OpRewritePattern<ConcatOp> {
32   using OpRewritePattern<ConcatOp>::OpRewritePattern;
33 
34   LogicalResult matchAndRewrite(ConcatOp concatOp,
35                                 PatternRewriter &rewriter) const override {
36     FailureOr<SmallVector<Value>> decomposed =
37         concatOp.decomposeOperation(rewriter);
38     if (failed(decomposed)) {
39       return rewriter.notifyMatchFailure(
40           concatOp, "failed to get the decomposed insert slices");
41     }
42     rewriter.replaceOp(concatOp, decomposed.value()[0]);
43     return success();
44   }
45 };
46 
47 } // namespace
48 
49 void mlir::tensor::populateDecomposeTensorConcatPatterns(
50     RewritePatternSet &patterns) {
51   patterns.add<DecomposeTensorConcatOp>(patterns.getContext());
52 }
53