[Mlir-commits] [mlir] [mlir][tosa] Improve lowering to tosa.fully_connected (PR #73049)
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llvmlistbot at llvm.org
Thu Nov 23 12:40:56 PST 2023
github-actions[bot] wrote:
<!--LLVM CODE FORMAT COMMENT: {clang-format}-->
:warning: C/C++ code formatter, clang-format found issues in your code. :warning:
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git-clang-format --diff d333c0e062e76df466cd06b1b04d52749acd944d 654ca3e675da6d0be86ecd555563f070c318a344 -- mlir/lib/Conversion/TosaToLinalg/TosaToLinalgNamed.cpp
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View the diff from clang-format here.
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diff --git a/mlir/lib/Conversion/TosaToLinalg/TosaToLinalgNamed.cpp b/mlir/lib/Conversion/TosaToLinalg/TosaToLinalgNamed.cpp
index 16db17d0fc..2711c6d7ec 100644
--- a/mlir/lib/Conversion/TosaToLinalg/TosaToLinalgNamed.cpp
+++ b/mlir/lib/Conversion/TosaToLinalg/TosaToLinalgNamed.cpp
@@ -88,10 +88,8 @@ linalgIntBroadcastExtSIAdd(PatternRewriter &rewriter, Location loc, Value bias,
// Broadcast the bias value based on the indexing maps.
// If required, the element type is expanded using an arith.extsi operation.
static mlir::Value
-linalgBroadcastAndMaybeExtSI(PatternRewriter &rewriter,
- Location loc,
- Value bias,
- Value result,
+linalgBroadcastAndMaybeExtSI(PatternRewriter &rewriter, Location loc,
+ Value bias, Value result,
ArrayRef<AffineMap> indexingMaps) {
ShapedType resultTy = cast<ShapedType>(result.getType());
return rewriter
@@ -671,12 +669,11 @@ public:
rewriter, loc, bias, biasEmptyTensor, indexingMaps);
if (!op.getQuantizationInfo()) {
- Value matmul =
- rewriter
- .create<linalg::MatmulOp>(loc, TypeRange{op.getType()},
- ValueRange{input, transposedWeight},
- broadcastBias)
- ->getResult(0);
+ Value matmul = rewriter
+ .create<linalg::MatmulOp>(
+ loc, TypeRange{op.getType()},
+ ValueRange{input, transposedWeight}, broadcastBias)
+ ->getResult(0);
rewriter.replaceOp(op, matmul);
return success();
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https://github.com/llvm/llvm-project/pull/73049
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