/** * \file dnn/src/naive/lsq/opr_impl.h * MegEngine is Licensed under the Apache License, Version 2.0 (the "License") * * Copyright (c) 2014-2021 Megvii Inc. All rights reserved. * * Unless required by applicable law or agreed to in writing, * software distributed under the License is distributed on an * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or * implied. */ #pragma once #include "megdnn/oprs.h" namespace megdnn { namespace naive { class LSQForwardImpl final : public LSQForward { public: using LSQForward::LSQForward; void exec(_megdnn_tensor_in input, _megdnn_tensor_in scale, _megdnn_tensor_in zero_point, _megdnn_tensor_in grad_scale, _megdnn_tensor_out output, _megdnn_workspace workspace) override; size_t get_workspace_in_bytes(const TensorLayout& /* input */, const TensorLayout& /* scale */, const TensorLayout& /* zero_point */, const TensorLayout& /* grad_scale */, const TensorLayout& /* output */) override { return 0; } }; class LSQBackwardImpl final : public LSQBackward { public: using LSQBackward::LSQBackward; void exec(_megdnn_tensor_in diff, _megdnn_tensor_in input, _megdnn_tensor_in scale, _megdnn_tensor_in zero_point, _megdnn_tensor_in grad_scale, _megdnn_tensor_out grad_x, _megdnn_tensor_out grad_s, _megdnn_workspace workspace) override; size_t get_workspace_in_bytes(const TensorLayout& /* diff */, const TensorLayout& /* input */, const TensorLayout& /* scale */, const TensorLayout& /* zero_point */, const TensorLayout& /* grad_scale */, const TensorLayout& /* grad_x */, const TensorLayout& /* grad_s */) override { return 0; } }; } // namespace naive } // namespace megdnn