chore: import upstream snapshot with attribution

paddle/phi/kernels/strided_slice_kernel.cc

@@ -0,0 +1,81 @@
+// 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/strided_slice_kernel.h"
+
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void StridedSliceKernel(const Context& dev_ctx,
+                        const DenseTensor& x,
+                        const std::vector<int>& axes,
+                        const IntArray& starts,
+                        const IntArray& ends,
+                        const IntArray& strides,
+                        DenseTensor* out) {
+  std::vector<int> infer_flags(axes.size(), 1);
+  std::vector<int> decrease_axis;
+  StridedSliceRawKernel<T, Context>(
+      dev_ctx, x, axes, starts, ends, strides, infer_flags, decrease_axis, out);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(strided_slice,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::StridedSliceKernel,
+                   float,
+                   double,
+                   bool,
+                   int64_t,
+                   int16_t,
+                   int,
+                   uint8_t,
+                   int8_t,
+                   phi::float16,
+                   phi::bfloat16,
+                   phi::complex64,
+                   phi::complex128) {}
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_REGISTER_KERNEL(strided_slice,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::StridedSliceKernel,
+                   float,
+                   double,
+                   bool,
+                   int64_t,
+                   int16_t,
+                   int,
+                   uint8_t,
+                   int8_t,
+                   phi::float16,
+                   phi::bfloat16,
+                   phi::complex64,
+                   phi::complex128) {}
+#endif
+#if defined(PADDLE_WITH_XPU)
+PD_REGISTER_KERNEL(strided_slice,
+                   XPU,
+                   ALL_LAYOUT,
+                   phi::StridedSliceKernel,
+                   int,
+                   int16_t,
+                   float,
+                   phi::float16,
+                   phi::bfloat16) {}
+#endif