chore: import upstream snapshot with attribution

paddle/phi/kernels/cpu/conv_kernel.cc

@@ -0,0 +1,103 @@
+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "paddle/phi/kernels/conv_kernel.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/impl/conv_kernel_impl.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void ConvKernel(const Context& dev_ctx,
+                const DenseTensor& input,
+                const DenseTensor& filter,
+                const std::vector<int>& strides,
+                const std::vector<int>& paddings,
+                const std::string& padding_algorithm,
+                const std::vector<int>& dilations,
+                int groups,
+                const std::string& data_format,
+                DenseTensor* out) {
+  ConvKernelImpl<T>(dev_ctx,
+                    input,
+                    filter,
+                    strides,
+                    paddings,
+                    padding_algorithm,
+                    groups,
+                    dilations,
+                    data_format,
+                    out);
+}
+
+template <typename T, typename Context>
+void DepthwiseConvKernel(const Context& dev_ctx,
+                         const DenseTensor& input,
+                         const DenseTensor& filter,
+                         const std::vector<int>& strides,
+                         const std::vector<int>& paddings,
+                         const std::string& padding_algorithm,
+                         int groups,
+                         const std::vector<int>& dilations,
+                         const std::string& data_format,
+                         DenseTensor* out) {
+  ConvKernelImpl<T>(dev_ctx,
+                    input,
+                    filter,
+                    strides,
+                    paddings,
+                    padding_algorithm,
+                    groups,
+                    dilations,
+                    data_format,
+                    out);
+}
+
+template <typename T, typename Context>
+void Conv3DKernel(const Context& dev_ctx,
+                  const DenseTensor& input,
+                  const DenseTensor& filter,
+                  const std::vector<int>& strides,
+                  const std::vector<int>& paddings,
+                  const std::string& padding_algorithm,
+                  int groups,
+                  const std::vector<int>& dilations,
+                  const std::string& data_format,
+                  DenseTensor* out) {
+  ConvKernelImpl<T>(dev_ctx,
+                    input,
+                    filter,
+                    strides,
+                    paddings,
+                    padding_algorithm,
+                    groups,
+                    dilations,
+                    data_format,
+                    out);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(conv2d, CPU, ALL_LAYOUT, phi::ConvKernel, float, double) {}
+
+PD_REGISTER_KERNEL(depthwise_conv2d,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::DepthwiseConvKernel,
+                   float,
+                   double) {}
+
+PD_REGISTER_KERNEL(conv3d, CPU, ALL_LAYOUT, phi::Conv3DKernel, float, double) {}