strided_slice_kernel.h

// 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.

#pragma once

#include "paddle/phi/common/int_array.h"
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/tensor_array.h"

namespace phi {

template <typename T, typename Context>
void StridedSliceRawKernel(const Context& dev_ctx,
                           const DenseTensor& x,
                           const std::vector<int>& axes,
                           const IntArray& starts,
                           const IntArray& ends,
                           const IntArray& strides,
                           const std::vector<int>& infer_flags,
                           const std::vector<int>& decrease_axis,
                           DenseTensor* out);

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);

template <typename T, typename Context>
void StridedSliceArrayKernel(const Context& dev_ctx,
                             const TensorArray& x,
                             const std::vector<int>& axes,
                             const IntArray& starts,
                             const IntArray& ends,
                             const IntArray& strides,
                             const std::vector<int>& infer_flags,
                             const std::vector<int>& decrease_axis,
                             TensorArray* out);
}  // namespace phi