// 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 void StridedSliceKernel(const Context& dev_ctx, const DenseTensor& x, const std::vector& axes, const IntArray& starts, const IntArray& ends, const IntArray& strides, DenseTensor* out) { std::vector infer_flags(axes.size(), 1); std::vector decrease_axis; StridedSliceRawKernel( dev_ctx, x, axes, starts, ends, strides, infer_flags, decrease_axis, out); } } // namespace phi PD_REGISTER_KERNEL(strided_slice, CPU, ALL_LAYOUT, phi::StridedSliceKernel, bool, int, int64_t, float, double, phi::dtype::complex, phi::dtype::complex) {} #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) PD_REGISTER_KERNEL(strided_slice, GPU, ALL_LAYOUT, phi::StridedSliceKernel, bool, int, int64_t, float, double, phi::dtype::float16, phi::dtype::complex, phi::dtype::complex) {} #endif