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132 lines
6.6 KiB
C
132 lines
6.6 KiB
C
/**
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******************************************************************************
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* @file lite_dw_dqnn.h
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* @author AIS
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* @brief header file of AI platform lite integer depthwise kernel datatypes
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******************************************************************************
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* @attention
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*
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* Copyright (c) 2021 STMicroelectronics.
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* All rights reserved.
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*
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* This software is licensed under terms that can be found in the LICENSE file
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* in the root directory of this software component.
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* If no LICENSE file comes with this software, it is provided AS-IS.
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*
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******************************************************************************
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*/
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#ifndef LITE_DW_DQNN_H
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#define LITE_DW_DQNN_H
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#include "ai_lite_interface.h"
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/******************************************************************************/
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/* Forward Functions Section */
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/******************************************************************************/
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/*!
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* @brief Handles 2D DW convolution with binary input, binary output and
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* binary weights - with 0 padding (QKeras like) - Lite I/F
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* @ingroup lite_conv2d_dqnn
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*/
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LITE_API_ENTRY
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void forward_lite_dw_is1os1ws1_bn_pad0(const ai_u32 *pDataIn_init,
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ai_u32 * pDataOut_init,
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const ai_u32 *pWeights_init,
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ai_float *pScratch_32,
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const ai_u32 n_channel_in,
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const ai_u32 n_channel_out,
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const ai_i32 width_in,
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const ai_i32 height_in,
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const ai_i32 width_out,
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const ai_i32 height_out,
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const ai_i32 filt_width,
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const ai_i32 filt_height,
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const ai_i32 filt_pad_x,
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const ai_i32 filt_pad_y,
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const ai_i32 filt_stride_x,
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const ai_i32 filt_stride_y,
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const ai_i32 *pThreshold);
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/*!
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* @brief Handles 2D DW convolution with binary input, binary output and
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* binary weights - with 0 padding (QKeras like) - Lite I/F
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* - Optimized thanks to Optim3 assumptions
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* @ingroup lite_conv2d_dqnn
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*/
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LITE_API_ENTRY
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void forward_lite_dw_is1os1ws1_bn_pad0_optim3(const ai_u32 *pDataIn_init,
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ai_u32 * pDataOut_init,
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const ai_u32 *pWeights_init,
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ai_float *pScratch_32,
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const ai_u32 n_channel_in,
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const ai_u32 n_channel_out,
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const ai_i32 width_in,
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const ai_i32 height_in,
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const ai_i32 width_out,
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const ai_i32 height_out,
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const ai_i32 filt_width,
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const ai_i32 filt_height,
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const ai_i32 filt_pad_x,
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const ai_i32 filt_pad_y,
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const ai_i32 filt_stride_x,
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const ai_i32 filt_stride_y,
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const ai_i32 *pThreshold);
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/*!
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* @brief Handles 2D convolution with binary input, binary output and
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* binary weights - with +1/-1 padding (Larq like) - Lite I/F
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* @ingroup lite_conv2d_dqnn
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*/
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LITE_API_ENTRY
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void forward_lite_dw_is1os1ws1_bn_pad1(const ai_u32 *pDataIn_init,
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ai_u32 * pDataOut_init,
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const ai_u32 *pWeights_init,
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ai_float *pScratch_32,
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const ai_u32 n_channel_in,
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const ai_u32 n_channel_out,
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const ai_i32 width_in,
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const ai_i32 height_in,
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const ai_i32 width_out,
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const ai_i32 height_out,
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const ai_i32 filt_width,
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const ai_i32 filt_height,
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const ai_i32 filt_pad_x,
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const ai_i32 filt_pad_y,
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const ai_i32 filt_stride_x,
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const ai_i32 filt_stride_y,
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const ai_i32 *pThreshold,
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const ai_i32 pad_value);
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/*!
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* @brief Handles 2D convolution with binary input, binary output and
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* binary weights - with +1/-1 padding (Larq like) - Lite I/F
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* - Optimized thanks to Optim3 assumptions
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* @ingroup lite_conv2d_dqnn
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*/
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LITE_API_ENTRY
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void forward_lite_dw_is1os1ws1_bn_pad1_optim3(const ai_u32 *pDataIn_init,
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ai_u32 * pDataOut_init,
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const ai_u32 *pWeights_init,
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ai_float *pScratch_32,
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const ai_u32 n_channel_in,
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const ai_u32 n_channel_out,
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const ai_i32 width_in,
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const ai_i32 height_in,
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const ai_i32 width_out,
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const ai_i32 height_out,
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const ai_i32 filt_width,
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const ai_i32 filt_height,
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const ai_i32 filt_pad_x,
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const ai_i32 filt_pad_y,
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const ai_i32 filt_stride_x,
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const ai_i32 filt_stride_y,
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const ai_i32 *pThreshold,
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const ai_i32 pad_value);
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#endif /*LITE_DW_DQNN_H*/
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