/* * Copyright (c) 2019 ARM Limited. * * SPDX-License-Identifier: MIT * * 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. */ #pragma once #include "depthwise_dilated.hpp" #include "depthwise_quantized.hpp" namespace depthwise { template class QAsymm8DilatedDepthwiseConvolution : public DilatedDepthwiseConvolution< OutputTileRows, OutputTileCols, KernelRows, KernelCols, StrideRows, StrideCols, uint8_t, int32_t, uint8_t> { public: /** Create a new dilated depthwise convolution engine. */ QAsymm8DilatedDepthwiseConvolution( int n_batches, int n_input_rows, int n_input_cols, int n_channels, int dilation_factor, nck::ActivationFunction activation, const qasymm8::QAsymm8Params &weight_quantisation, const qasymm8::QAsymm8Params &input_quantisation, const qasymm8::QAsymm8Params &output_quantisation, unsigned int padding_top, unsigned int padding_left, unsigned int padding_bottom, unsigned int padding_right); /** Create a new dilated depthwise convolution engine. */ QAsymm8DilatedDepthwiseConvolution( int n_batches, int n_input_rows, int n_input_cols, int n_channels, int dilation_factor, int n_output_rows, int n_output_cols, nck::ActivationFunction activation, const qasymm8::QAsymm8Params &weight_quantisation, const qasymm8::QAsymm8Params &input_quantisation, const qasymm8::QAsymm8Params &output_quantisation, unsigned int padding_top, unsigned int padding_left, unsigned int padding_bottom, unsigned int padding_right); /** Create a new dilated depthwise convolution engine. */ QAsymm8DilatedDepthwiseConvolution( int n_batches, int n_input_rows, int n_input_cols, int n_channels, int dilation_factor, nck::ActivationFunction activation, const qasymm8::QAsymm8Params &weight_quantisation, const qasymm8::QAsymm8Params &input_quantisation, const qasymm8::QAsymm8Params &output_quantisation, const qasymm8::QAsymm8RescaleParams &rescale_parameters, unsigned int padding_top, unsigned int padding_left, unsigned int padding_bottom, unsigned int padding_right); /** Create a new dilated depthwise convolution engine. */ QAsymm8DilatedDepthwiseConvolution( int n_batches, int n_input_rows, int n_input_cols, int n_channels, int dilation_factor, int n_output_rows, int n_output_cols, nck::ActivationFunction activation, const qasymm8::QAsymm8Params &weight_quantisation, const qasymm8::QAsymm8Params &input_quantisation, const qasymm8::QAsymm8Params &output_quantisation, const qasymm8::QAsymm8RescaleParams& rescale_parameters, unsigned int padding_top, unsigned int padding_left, unsigned int padding_bottom, unsigned int padding_right); }; } // namespace depthwise