
// 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/infermeta/unary.h"

namespace phi {

template <typename T, typename Context>
void UnsqueezeKernel(const Context& dev_ctx,
                     const DenseTensor& x,
                     const IntArray& axes,
                     DenseTensor* out);

template <typename T, typename Context>
void UnsqueezeWithXShapeKernel(const Context& dev_ctx,
                               const DenseTensor& x,
                               const IntArray& axes,
                               DenseTensor* out,
                               DenseTensor* xshape);

template <typename Context>
void UnsqueezeStridedKernel(const Context& dev_ctx,
                            const DenseTensor& x,
                            const IntArray& axes,
                            DenseTensor* out);

template <typename Context>
void UnsqueezeWithXShapeStridedKernel(const Context& dev_ctx,
                                      const DenseTensor& x,
                                      const IntArray& axes,
                                      DenseTensor* out,
                                      DenseTensor* xshape);

template <typename T, typename Context>
void Unsqueeze(const Context& dev_ctx,
               const DenseTensor& x,
               const IntArray& axes,
               DenseTensor* out,
               DenseTensor* xshape UNUSED) {
  MetaTensor meta_out(out);
  UnsqueezeInferMeta(x, axes, &meta_out);
  UnsqueezeKernel<T, Context>(dev_ctx, x, axes, out);
}

}  // namespace phi
