// Copyright (c) 2020 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 #include #include "lite/core/tensor.h" namespace paddle { namespace lite { namespace x86 { namespace math { void bilinear_interp(const float* input_data, float* output_data, const float ratio_h, const float ratio_w, const int in_h, const int in_w, const int n, const int c, const int out_h, const int out_w, const bool align_corners, const bool align_mode); void nearest_interp(const float* input_data, float* output_data, const float ratio_h, const float ratio_w, const int n, const int c, const int in_h, const int in_w, const int out_h, const int out_w, const bool align_corners); void interpolate(lite::Tensor* input, lite::Tensor* out_size, std::vector list_new_size_tensor, lite::Tensor* scale_tensor, lite::Tensor* output, float scale, int out_h, int out_w, const int align_mode, const bool align_corners, const std::string interpolate_type); } // namespace math } // namespace x86 } // namespace lite } // namespace paddle