// Copyright (c) 2019 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 #include "lite/backends/opencl/cl_half.h" #include "lite/backends/opencl/cl_include.h" #include "lite/core/kernel.h" #include "lite/core/tensor.h" #include "lite/operators/op_params.h" namespace paddle { namespace lite { namespace kernels { namespace opencl { class ConvImageCompute : public KernelLite { public: using param_t = operators::ConvParam; using kernel_t = void (ConvImageCompute::*)(); void PrepareForRun() override; void Run() override; private: void Conv2d1x1(); void Conv2d3x3(); void Conv2d3x3opt(); void Conv2d5x5(); void Conv2d7x7(); void DepthwiseConv2d3x3s1(); void DepthwiseConv2d3x3(); void DepthwiseConv2d(); kernel_t impl_; std::vector kernel_func_names_{}; std::vector kernel_func_paths_{}; std::vector build_options_{}; std::shared_ptr event_{new cl::Event}; Tensor filter_gpu_image_; Tensor bias_gpu_image_; }; } // namespace opencl } // namespace kernels } // namespace lite } // namespace paddle