wehub-resource-sync
158 lines
4.6 KiB
C++
158 lines
4.6 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/core/dense_tensor.h"
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namespace phi {
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template <typename T, typename Context>
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void BilinearInterpKernel(
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const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& out_size,
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const optional<std::vector<const DenseTensor*>>& size_tensor,
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const optional<DenseTensor>& scale_tensor,
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const std::string& data_layout,
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int out_d,
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int out_h,
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int out_w,
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const std::vector<double>& scale,
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const std::string& interp_method,
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bool align_corners,
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int align_mode,
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DenseTensor* output);
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template <typename T, typename Context>
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void NearestInterpKernel(
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const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& out_size,
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const optional<std::vector<const DenseTensor*>>& size_tensor,
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const optional<DenseTensor>& scale_tensor,
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const std::string& data_layout,
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int out_d,
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int out_h,
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int out_w,
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const std::vector<double>& scale,
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const std::string& interp_method,
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bool align_corners,
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int align_mode,
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DenseTensor* output);
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template <typename T, typename Context>
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void TrilinearInterpKernel(
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const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& out_size,
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const optional<std::vector<const DenseTensor*>>& size_tensor,
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const optional<DenseTensor>& scale_tensor,
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const std::string& data_layout,
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int out_d,
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int out_h,
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int out_w,
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const std::vector<double>& scale,
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const std::string& interp_method,
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bool align_corners,
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int align_mode,
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DenseTensor* output);
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template <typename T, typename Context>
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void LinearInterpKernel(
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const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& out_size,
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const optional<std::vector<const DenseTensor*>>& size_tensor,
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const optional<DenseTensor>& scale_tensor,
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const std::string& data_layout,
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int out_d,
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int out_h,
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int out_w,
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const std::vector<double>& scale,
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const std::string& interp_method,
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bool align_corners,
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int align_mode,
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DenseTensor* output);
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template <typename T, typename Context>
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void BicubicInterpKernel(
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const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& out_size,
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const optional<std::vector<const DenseTensor*>>& size_tensor,
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const optional<DenseTensor>& scale_tensor,
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const std::string& data_layout,
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int out_d,
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int out_h,
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int out_w,
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const std::vector<double>& scale,
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const std::string& interp_method,
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bool align_corners,
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int align_mode,
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DenseTensor* output);
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template <typename T, typename Context>
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void LegacyBilinearInterpKernel(
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const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& out_size,
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const optional<std::vector<const DenseTensor*>>& size_tensor,
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const optional<DenseTensor>& scale_tensor,
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const std::string& data_layout,
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int out_d,
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int out_h,
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int out_w,
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float scale,
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const std::string& interp_method,
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bool align_corners,
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int align_mode,
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DenseTensor* output);
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template <typename T, typename Context>
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void LegacyNearestInterpKernel(
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const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& out_size,
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const optional<std::vector<const DenseTensor*>>& size_tensor,
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const optional<DenseTensor>& scale_tensor,
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const std::string& data_layout,
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int out_d,
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int out_h,
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int out_w,
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float scale,
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const std::string& interp_method,
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bool align_corners,
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int align_mode,
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DenseTensor* output);
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template <typename T, typename Context>
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void InterpAntialiasKernel(
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const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& out_size,
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const optional<std::vector<const DenseTensor*>>& size_tensor,
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const optional<DenseTensor>& scale_tensor,
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const std::string& data_layout,
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int out_d,
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int out_h,
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int out_w,
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const std::vector<double>& scale,
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const std::string& interp_method,
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bool align_corners,
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int align_mode,
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DenseTensor* output);
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} // namespace phi
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