/**************************************************************************** * * Copyright (c) 2020-2023 Vivante Corporation * * Permission is hereby granted, free of charge, to any person obtaining a * copy of this software and associated documentation files (the "Software"), * to deal in the Software without restriction, including without limitation * the rights to use, copy, modify, merge, publish, distribute, sublicense, * and/or sell copies of the Software, and to permit persons to whom the * Software is furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER * DEALINGS IN THE SOFTWARE. * *****************************************************************************/ #ifndef TIM_VX_OPS_CONV1D_H_ #define TIM_VX_OPS_CONV1D_H_ #include #include "tim/vx/builtin_op.h" namespace tim { namespace vx { namespace ops { class Conv1d : public BuiltinOp { public: Conv1d(Graph* graph, PadType padding, uint32_t stride, uint32_t dilation, int32_t multiplier = 0, DataLayout input_layout = DataLayout::WCN, DataLayout kernel_layout = DataLayout::WIcOc); Conv1d(Graph* graph, const std::array& pad, uint32_t stride, uint32_t dilation, int32_t multiplier = 0, DataLayout input_layout = DataLayout::WCN, DataLayout kernel_layout = DataLayout::WIcOc); Conv1d(Graph* graph, int32_t weights, PadType padding, uint32_t ksize, uint32_t stride, uint32_t dilation, int32_t multiplier = 0, DataLayout input_layout = DataLayout::WCN, DataLayout kernel_layout = DataLayout::WIcOc); Conv1d(Graph* graph, int32_t weights, PadType padding, uint32_t ksize, uint32_t stride, uint32_t dilation, const std::array& pad, int32_t multiplier = 0, DataLayout input_layout = DataLayout::WCN, DataLayout kernel_layout = DataLayout::WIcOc); DataLayout KernelDataLayout() { return kernel_layout_; } std::shared_ptr Clone(std::shared_ptr& graph) const override; protected: const uint32_t weights_; const PadType padding_; const uint32_t ksize_; const uint32_t stride_; const uint32_t dilation_; const std::array pad_; const int32_t multiplier_; const DataLayout kernel_layout_; }; } // namespace ops } // namespace vx } // namespace tim #endif /* TIM_VX_OPS_CONV2D_H_ */