chore: import upstream snapshot with attribution

paddle/phi/kernels/impl/strided_slice_grad_kernel_impl.h

@@ -0,0 +1,82 @@
+// 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 "paddle/phi/kernels/full_kernel.h"
+#include "paddle/phi/kernels/funcs/strided_slice.h"
+#include "paddle/phi/kernels/strided_slice_grad_kernel.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void StridedSliceRawGradKernel(const Context& dev_ctx,
+                               const DenseTensor& x,
+                               const DenseTensor& out_grad,
+                               const std::vector<int>& axes,
+                               const IntArray& starts,
+                               const IntArray& ends,
+                               const IntArray& strides,
+                               const std::vector<int>& infer_flags,
+                               const std::vector<int>& decrease_axis,
+                               DenseTensor* x_grad) {
+  int rank = x.dims().size();
+#define SLICE_CASE(Rank)                                            \
+  case Rank:                                                        \
+    funcs::StridedSliceGradCompute<Context, T, Rank>(dev_ctx,       \
+                                                     x,             \
+                                                     out_grad,      \
+                                                     axes,          \
+                                                     starts,        \
+                                                     ends,          \
+                                                     strides,       \
+                                                     infer_flags,   \
+                                                     decrease_axis, \
+                                                     x_grad);       \
+    break;
+
+  switch (rank) {
+    SLICE_CASE(1)
+    SLICE_CASE(2)
+    SLICE_CASE(3)
+    SLICE_CASE(4)
+    SLICE_CASE(5)
+    SLICE_CASE(6)
+  }
+#undef SLICE_CASE
+}
+
+template <typename T, typename Context>
+void StridedSliceArrayGradKernel(const Context& dev_ctx,
+                                 const TensorArray& x,
+                                 const TensorArray& out_grad,
+                                 const std::vector<int>& axes,
+                                 const IntArray& starts,
+                                 const IntArray& ends,
+                                 const IntArray& strides,
+                                 const std::vector<int>& infer_flags,
+                                 const std::vector<int>& decrease_axis,
+                                 TensorArray* x_grad) {
+  funcs::StridedSliceGradCompute<Context, T, 1>(dev_ctx,
+                                                x,
+                                                out_grad,
+                                                axes,
+                                                starts,
+                                                ends,
+                                                strides,
+                                                infer_flags,
+                                                decrease_axis,
+                                                x_grad);
+}
+
+}  // namespace phi