74 lines
3.2 KiB
C++
74 lines
3.2 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/common/int_array.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/tensor_array.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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template <typename T, typename Context>
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void StridedSliceKernel(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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DenseTensor* out);
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template <typename Context>
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void StridedSliceRawStridedKernel(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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template <typename Context>
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void StridedSliceStridedKernel(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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DenseTensor* out);
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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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} // namespace phi
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