[FIX] CI

Author: root

.github/workflows/ci-auto-format-and-commit.yml

@@ -29,10 +29,11 @@ jobs:
       - name: Install formatter
         shell: bash
         run: |
-          wget https://apt.llvm.org/llvm.sh && chmod +x ./llvm.sh && ./llvm.sh 20
+          wget https://apt.llvm.org/llvm.sh 
+          sudo chmod +x ./llvm.sh && sudo ./llvm.sh 19
           sudo apt-get update
-          sudo apt-get install clang-format-20
-          sudo ln -sf $(which clang-format-20) /usr/bin/clang-format
+          sudo apt-get install clang-format-19
+          sudo ln -sf $(which clang-format-19) /usr/bin/clang-format
           python -m pip install black
 
       - name: Run format script

csrc/lib/ops/conv2d/op.cpp

@@ -4,7 +4,7 @@ namespace pmpp::ops::cpu
 {
 
 template <>
-void launchConv2D<fp32_t>(const fp32_t* input, const fp32_t* kernel,
+void launchConv2d<fp32_t>(const fp32_t* input, const fp32_t* kernel,
                           fp32_t* output, int32_t inputHeight,
                           int32_t inputWidth, int32_t kernelSize)
 {

csrc/lib/ops/conv2d/op.cu

@@ -54,7 +54,7 @@ __global__ void conv2DKernel(const ScalarT* input, const ScalarT* kernel,
 }
 
 template <>
-void launchConv2D<fp32_t>(const fp32_t* d_input, const fp32_t* d_kernel,
+void launchConv2d<fp32_t>(const fp32_t* d_input, const fp32_t* d_kernel,
                           fp32_t* d_output, int32_t inputHeight,
                           int32_t inputWidth, int32_t kernelSize)
 {

csrc/lib/ops/conv2d/torch_impl.cpp

@@ -22,7 +22,7 @@ auto conv2D(const torch::Tensor& input, const torch::Tensor& kernel)
 
     switch (input.scalar_type()) {
     case torch::kFloat32: {
-        pmpp::ops::cpu::launchConv2D(input.const_data_ptr<fp32_t>(),
+        pmpp::ops::cpu::launchConv2d(input.const_data_ptr<fp32_t>(),
                                      kernel.const_data_ptr<fp32_t>(),
                                      output.mutable_data_ptr<fp32_t>(),
                                      input_height, input_width, kernel_size);
@@ -56,7 +56,7 @@ auto conv2D(const torch::Tensor& input, const torch::Tensor& kernel)
 
     switch (input.scalar_type()) {
     case torch::kFloat32: {
-        pmpp::ops::cuda::launchConv2D(
+        pmpp::ops::cuda::launchConv2d(
             input.data_ptr<fp32_t>(), kernel.data_ptr<fp32_t>(),
             output.data_ptr<fp32_t>(), input_height, input_width, kernel_size);
         break;

csrc/lib/ops/ops.hpp

@@ -13,8 +13,8 @@ void launchCvtRGBtoGray(uint8_t* picOut, const uint8_t* picIn, uint32_t nRows,
 void launchMatmul(const fp32_t* A, const fp32_t* B, fp32_t* C, size_t width);
 
 template <typename ScalarT>
-void launchConv2D(const ScalarT* input, const ScalarT* kernel, ScalarT* output,
-                  int32_t inputHeight, int32_t inputWidth, int32_t kernelSize);
+void launchConv2d(const ScalarT* input, const ScalarT* kernel, ScalarT* output,
+                  int32_t inHeight, int32_t inWidth, int32_t kernelSize);
 
 }  // namespace pmpp::ops::cpu
 
@@ -30,7 +30,7 @@ void launchMatmul(const fp32_t* dA, const fp32_t* dB, fp32_t* dC,
                   size_t width);
 
 template <typename ScalarT>
-void launchConv2D(const ScalarT* d_input, const ScalarT* d_kernel,
+void launchConv2d(const ScalarT* d_input, const ScalarT* d_kernel,
                   ScalarT* d_output, int32_t inputHeight, int32_t inputWidth,
                   int32_t kernelSize);