wehub-resource-sync
75 lines
2.9 KiB
C++
75 lines
2.9 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "paddle/phi/kernels/funcs/strided_slice.h"
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#include "paddle/phi/kernels/strided_slice_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void StridedSliceRawKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const std::vector<int>& axes,
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const IntArray& starts,
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const IntArray& ends,
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const IntArray& strides,
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const std::vector<int>& infer_flags,
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const std::vector<int>& decrease_axis,
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DenseTensor* out) {
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if (out->numel() == 0) {
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dev_ctx.template Alloc<T>(out);
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return;
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}
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int rank = x.dims().size();
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#define SLICE_CASE(Rank) \
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case Rank: \
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funcs::StridedSliceCompute<Context, T, Rank>(dev_ctx, \
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x, \
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axes, \
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starts, \
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ends, \
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strides, \
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infer_flags, \
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decrease_axis, \
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out); \
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break;
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switch (rank) {
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SLICE_CASE(1)
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SLICE_CASE(2)
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SLICE_CASE(3)
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SLICE_CASE(4)
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SLICE_CASE(5)
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SLICE_CASE(6)
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}
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#undef SLICE_CASE
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}
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template <typename T, typename Context>
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void StridedSliceArrayKernel(const Context& dev_ctx,
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const TensorArray& x,
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const std::vector<int>& axes,
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const IntArray& starts,
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const IntArray& ends,
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const IntArray& strides,
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const std::vector<int>& infer_flags,
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const std::vector<int>& decrease_axis,
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TensorArray* out) {
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funcs::StridedSliceCompute<Context, T, 1>(
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dev_ctx, x, axes, starts, ends, strides, infer_flags, decrease_axis, out);
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}
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} // namespace phi
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