chore: import upstream snapshot with attribution

paddle/phi/kernels/transpose_kernel.h

@@ -0,0 +1,79 @@
+// 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.
+
+#pragma once
+
+#include <vector>
+
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/infermeta/unary.h"
+#include "paddle/phi/kernels/empty_kernel.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void TransposeKernel(const Context& dev_ctx,
+                     const DenseTensor& x,
+                     const std::vector<int>& axis,
+                     DenseTensor* out);
+
+template <typename Context>
+void TransposeStridedKernel(const Context& dev_ctx,
+                            const DenseTensor& x,
+                            const std::vector<int>& axis,
+                            DenseTensor* out);
+
+template <typename T, typename Context>
+void Transpose(const Context& dev_ctx,
+               const DenseTensor& x,
+               const std::vector<int>& axis,
+               DenseTensor* dense_out) {
+  MetaTensor meta_out(dense_out);
+  TransposeInferMeta(x, axis, &meta_out);
+
+  // do not call TransposeStridedKernel, because some other kernels call
+  // Transpose directly
+  if (x.has_allocation() && x.capacity() > 0) {
+    TransposeKernel<T, Context>(dev_ctx, x, axis, dense_out);
+  }
+}
+
+template <typename T, typename Context>
+DenseTensor Transpose(const Context& dev_ctx,
+                      const DenseTensor& x,
+                      const std::vector<int>& axis) {
+  DenseTensor dense_out;
+  Transpose<T, Context>(dev_ctx, x, axis, &dense_out);
+  return dense_out;
+}
+
+template <typename T, typename Context>
+DenseTensor TransposeLast2Dim(const Context& dev_ctx, const DenseTensor& x) {
+  size_t rank = x.dims().size();
+  std::vector<int> axis(rank);
+  for (size_t i = 0; i < rank; ++i) {
+    axis[i] = i;
+  }
+  std::swap(axis[rank - 1], axis[rank - 2]);
+  return Transpose<T, Context>(dev_ctx, x, axis);
+}
+#ifdef _WIN32
+#define INSTANTIATE_TRANSPOSE_KERNEL(type, context)        \
+  template PADDLE_API void TransposeKernel<type, context>( \
+      const context&,                                      \
+      const DenseTensor&,                                  \
+      const std::vector<int>&,                             \
+      DenseTensor*);
+#endif
+}  // namespace phi