chore: import upstream snapshot with attribution

paddle/phi/kernels/stride/transpose_grad_kernel.cc

@@ -0,0 +1,55 @@
+// Copyright (c) 2023 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/transpose_grad_kernel.h"
+#include "paddle/common/flags.h"
+#include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/transpose_kernel.h"
+
+COMMON_DECLARE_bool(use_stride_kernel);
+
+namespace phi {
+
+template <typename Context>
+void TransposeGradStridedKernel(const Context& dev_ctx,
+                                const DenseTensor& out_grad,
+                                const std::vector<int>& axis,
+                                DenseTensor* x_grad) {
+  if (!FLAGS_use_stride_kernel) {
+    PADDLE_THROW(common::errors::Fatal(
+        "FLAGS_use_stride_kernel is closed. Strided kernel "
+        "be called, something wrong has happened!"));
+  }
+  size_t axis_size = axis.size();
+  std::vector<int> formatted_axis = axis;
+  for (size_t i = 0; i < axis_size; i++) {
+    if (axis[i] < 0) {
+      formatted_axis[i] = static_cast<int>(axis[i] + axis_size);
+    }
+  }
+
+  std::vector<int> reversed_axis(axis);
+  for (int i = 0; i < static_cast<int>(axis_size); i++) {
+    reversed_axis[formatted_axis[i]] = i;
+  }
+
+  TransposeStridedKernel<Context>(dev_ctx, out_grad, reversed_axis, x_grad);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(transpose_grad,
+                                         STRIDED,
+                                         phi::TransposeGradStridedKernel) {}