forked from OSchip/llvm-project
[MLIR] Canonicalize broadcast operations on single shapes
This covers cases that are not folded away because the extent tensor type becomes more concrete in the process. Differential Revision: https://reviews.llvm.org/D98782
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@ -414,11 +414,26 @@ struct RemoveDuplicateOperandsPattern : public OpRewritePattern<OpTy> {
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return failure();
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}
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};
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struct BroadcastForwardSingleOperandPattern
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: public OpRewritePattern<BroadcastOp> {
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using OpRewritePattern<BroadcastOp>::OpRewritePattern;
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LogicalResult matchAndRewrite(BroadcastOp op,
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PatternRewriter &rewriter) const override {
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if (op.getNumOperands() == 1) {
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rewriter.replaceOp(op, op.shapes().front());
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return success();
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}
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return failure();
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}
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};
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} // namespace
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void BroadcastOp::getCanonicalizationPatterns(
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OwningRewritePatternList &patterns, MLIRContext *context) {
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patterns.insert<RemoveDuplicateOperandsPattern<BroadcastOp>>(context);
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patterns.insert<BroadcastForwardSingleOperandPattern,
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RemoveDuplicateOperandsPattern<BroadcastOp>>(context);
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}
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//===----------------------------------------------------------------------===//
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@ -1119,3 +1119,15 @@ func @broadcast_on_duplicate_shapes(%a : !shape.shape, %b : !shape.shape)
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!shape.shape, !shape.shape, !shape.shape, !shape.shape -> !shape.shape
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return %0 : !shape.shape
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}
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// -----
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// CHECK-LABEL: @broadcast_on_single_operand
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// CHECK-SAME: (%[[A:.*]]: tensor<3xindex>)
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func @broadcast_on_single_operand(%a : tensor<3xindex>) {
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// CHECK-NOT: broadcast
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// CHECK: "use"(%[[A]])
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%0 = shape.broadcast %a : tensor<3xindex> -> tensor<?xindex>
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"use"(%0) : (tensor<?xindex>) -> ()
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return
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}
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