chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
15472 changed files with 3536181 additions and 0 deletions
@@ -0,0 +1,74 @@
+// 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/funcs/strided_slice.h"
+#include "paddle/phi/kernels/strided_slice_kernel.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void StridedSliceRawKernel(const Context& dev_ctx,
+                           const DenseTensor& x,
+                           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* out) {
+  if (out->numel() == 0) {
+    dev_ctx.template Alloc<T>(out);
+    return;
+  }
+  int rank = x.dims().size();
+#define SLICE_CASE(Rank)                                        \
+  case Rank:                                                    \
+    funcs::StridedSliceCompute<Context, T, Rank>(dev_ctx,       \
+                                                 x,             \
+                                                 axes,          \
+                                                 starts,        \
+                                                 ends,          \
+                                                 strides,       \
+                                                 infer_flags,   \
+                                                 decrease_axis, \
+                                                 out);          \
+    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 StridedSliceArrayKernel(const Context& dev_ctx,
+                             const TensorArray& x,
+                             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* out) {
+  funcs::StridedSliceCompute<Context, T, 1>(
+      dev_ctx, x, axes, starts, ends, strides, infer_flags, decrease_axis, out);
+}
+
+}  // namespace phi