[Mlir-commits] [mlir] 4ecfdf8 - Apply clang-tidy fixes for readability-identifier-naming in TosaDecomposeConv2D.cpp (NFC)

Mehdi Amini llvmlistbot at llvm.org
Sat Nov 12 15:47:56 PST 2022


Author: Mehdi Amini
Date: 2022-11-12T23:47:38Z
New Revision: 4ecfdf8a739ca4dfde7d13b65433823864af0199

URL: https://github.com/llvm/llvm-project/commit/4ecfdf8a739ca4dfde7d13b65433823864af0199
DIFF: https://github.com/llvm/llvm-project/commit/4ecfdf8a739ca4dfde7d13b65433823864af0199.diff

LOG: Apply clang-tidy fixes for readability-identifier-naming in TosaDecomposeConv2D.cpp (NFC)

Added: 
    

Modified: 
    mlir/lib/Dialect/Tosa/Transforms/TosaDecomposeConv2D.cpp

Removed: 
    


################################################################################
diff  --git a/mlir/lib/Dialect/Tosa/Transforms/TosaDecomposeConv2D.cpp b/mlir/lib/Dialect/Tosa/Transforms/TosaDecomposeConv2D.cpp
index 790648e451e48..65ac820056e22 100644
--- a/mlir/lib/Dialect/Tosa/Transforms/TosaDecomposeConv2D.cpp
+++ b/mlir/lib/Dialect/Tosa/Transforms/TosaDecomposeConv2D.cpp
@@ -19,7 +19,7 @@ using namespace mlir::tosa;
 
 namespace {
 
-SmallVector<int64_t> ConvertFromMlirShape(ArrayRef<int64_t> shape) {
+SmallVector<int64_t> convertFromMlirShape(ArrayRef<int64_t> shape) {
   return to_vector(llvm::map_range(shape, [](int64_t dim) {
     return ShapedType::isDynamic(dim) ? -1 : dim;
   }));
@@ -68,7 +68,7 @@ struct Conv2DIsFullyConnected : public OpRewritePattern<tosa::Conv2DOp> {
                              .create<tosa::ReshapeOp>(
                                  op.getLoc(), revisedInputShapeType, input,
                                  rewriter.getI64ArrayAttr(
-                                     ConvertFromMlirShape(revisedInputShape)))
+                                     convertFromMlirShape(revisedInputShape)))
                              .getResult();
 
     // Reshape kernel to [OC,KH,KW,IC] -> [OC, IC].
@@ -81,7 +81,7 @@ struct Conv2DIsFullyConnected : public OpRewritePattern<tosa::Conv2DOp> {
                               .create<tosa::ReshapeOp>(
                                   op.getLoc(), revisedWeightShapeType, weight,
                                   rewriter.getI64ArrayAttr(
-                                      ConvertFromMlirShape(revisedWeightShape)))
+                                      convertFromMlirShape(revisedWeightShape)))
                               .getResult();
 
     // Perform a fully connected network over the reshaped input and weight.
@@ -110,7 +110,7 @@ struct Conv2DIsFullyConnected : public OpRewritePattern<tosa::Conv2DOp> {
                                               inputShape[2], weightShape[0]};
     rewriter.replaceOpWithNewOp<tosa::ReshapeOp>(
         op, resultType, fullyConnectedValue,
-        rewriter.getI64ArrayAttr(ConvertFromMlirShape(outputShape)));
+        rewriter.getI64ArrayAttr(convertFromMlirShape(outputShape)));
     return success();
   }
 };


        


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