[Mlir-commits] [mlir] [mlir][tosa] Support unranked input/weight tensors for convolution ops (PR #134856)

[llvmlistbot at llvm.org]

github-actions[bot] wrote:

<!--LLVM CODE FORMAT COMMENT: {clang-format}-->


:warning: C/C++ code formatter, clang-format found issues in your code. :warning:

<details>
<summary>
You can test this locally with the following command:
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``````````bash
git-clang-format --diff HEAD~1 HEAD --extensions cpp -- mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
``````````

</details>

<details>
<summary>
View the diff from clang-format here.
</summary>

``````````diff
diff --git a/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp b/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
index ee4333f4b..d86aad381 100644
--- a/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
+++ b/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
@@ -2918,13 +2918,13 @@ LogicalResult TransposeConv2DOp::verify() {
   const int64_t outPadRight = padding[3];
 
   const auto weightType =
-    llvm::dyn_cast<RankedTensorType>(getWeight().getType());
+      llvm::dyn_cast<RankedTensorType>(getWeight().getType());
 
   if (weightType) {
     const int64_t kernelHeight = weightType.getDimSize(1);
     if (!ShapedType::isDynamic(kernelHeight)) {
-      if (failed(checkPadAgainstKernelDim(outPadTop, kernelHeight, "out_pad_top",
-                                          "KH")))
+      if (failed(checkPadAgainstKernelDim(outPadTop, kernelHeight,
+                                          "out_pad_top", "KH")))
         return failure();
 
       if (failed(checkPadAgainstKernelDim(outPadBottom, kernelHeight,
@@ -2934,8 +2934,8 @@ LogicalResult TransposeConv2DOp::verify() {
 
     const int64_t kernelWidth = weightType.getDimSize(2);
     if (!ShapedType::isDynamic(kernelWidth)) {
-      if (failed(checkPadAgainstKernelDim(outPadLeft, kernelWidth, "out_pad_left",
-                                          "KW")))
+      if (failed(checkPadAgainstKernelDim(outPadLeft, kernelWidth,
+                                          "out_pad_left", "KW")))
         return failure();
 
       if (failed(checkPadAgainstKernelDim(outPadRight, kernelWidth,
@@ -2961,11 +2961,11 @@ LogicalResult TransposeConv2DOp::verify() {
       if (outputHeight !=
           (inputHeight - 1) * strideY + outPadTop + outPadBottom + kernelHeight)
         return emitOpError(
-                  "dimension mismatch: expected OH == (IH - 1) * stride_y "
-                  "+ out_pad_top + out_pad_bottom + KH, but got ")
-              << outputHeight << " != (" << inputHeight << " - 1) * " << strideY
-              << " + " << outPadTop << " + " << outPadBottom << " + "
-              << kernelHeight;
+                   "dimension mismatch: expected OH == (IH - 1) * stride_y "
+                   "+ out_pad_top + out_pad_bottom + KH, but got ")
+               << outputHeight << " != (" << inputHeight << " - 1) * "
+               << strideY << " + " << outPadTop << " + " << outPadBottom
+               << " + " << kernelHeight;
     }
 
     const int64_t inputWidth = inputType.getDimSize(2);
@@ -2977,11 +2977,11 @@ LogicalResult TransposeConv2DOp::verify() {
       if (outputWidth !=
           (inputWidth - 1) * strideX + outPadLeft + outPadRight + kernelWidth)
         return emitOpError(
-                  "dimension mismatch: expected OW == (IW - 1) * stride_x "
-                  "+ out_pad_left + out_pad_right + KW, but got ")
-              << outputWidth << " != (" << inputWidth << " - 1) * " << strideX
-              << " + " << outPadLeft << " + " << outPadRight << " + "
-              << kernelWidth;
+                   "dimension mismatch: expected OW == (IW - 1) * stride_x "
+                   "+ out_pad_left + out_pad_right + KW, but got ")
+               << outputWidth << " != (" << inputWidth << " - 1) * " << strideX
+               << " + " << outPadLeft << " + " << outPadRight << " + "
+               << kernelWidth;
     }
   }
 

``````````

</details>


https://github.com/llvm/llvm-project/pull/134856