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paddlepaddle--paddle/paddle/phi/kernels/strided_slice_kernel.cc
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2026-07-13 12:40:42 +08:00

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// 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