openmv/lib/stai/libstai/include/lite_pw_dqnn.h
iabdalkader e95a19c963 lib: Add STAI library and ML backend.
Signed-off-by: iabdalkader <i.abdalkader@gmail.com>
2025-06-10 11:53:31 +02:00

128 lines
5.4 KiB
C

/**
******************************************************************************
* @file lite_pw_dqnn.h
* @author AIS
* @brief header file of AI platform lite dqnn pointwise kernel datatypes
******************************************************************************
* @attention
*
* Copyright (c) 2021 STMicroelectronics.
* All rights reserved.
*
* This software is licensed under terms that can be found in the LICENSE file
* in the root directory of this software component.
* If no LICENSE file comes with this software, it is provided AS-IS.
*
******************************************************************************
*/
#ifndef LITE_PW_DQNN_H
#define LITE_PW_DQNN_H
#include "ai_lite_interface.h"
/******************************************************************************/
/* Forward Functions Section */
/******************************************************************************/
/*!
* @brief Handles point wise convolution with binary input, binary output and
* binary weights - Lite API version
* @ingroup lite_pw_dqnn
*/
LITE_API_ENTRY
void forward_lite_pw_is1os1ws1_bn(const ai_u32 *pDataIn_init,
ai_u32 *pDataOut_init,
const ai_u32 *pWeights_init,
const ai_u32 n_channel_in,
const ai_u32 n_channel_out,
const ai_i32 width_out,
const ai_i32 height_out,
const ai_i32 *pThreshold);
/*!
* @brief Handles point wise convolution with binary input, binary output and
* binary weights - Lite API version - Optimized thanks to Optim2
* assumptions
* @ingroup lite_pw_dqnn
*/
LITE_API_ENTRY
void forward_lite_pw_is1os1ws1_bn_optim2(const ai_u32 *pDataIn_init,
ai_u32 *pDataOut_init,
const ai_u32 *pWeights_init,
const ai_u32 n_channel_in,
const ai_u32 n_channel_out,
const ai_i32 width_out,
const ai_i32 height_out,
const ai_i32 *pThreshold);
/*!
* @brief Handles point wise convolution with binary input, 8-bits output and
* binary weights - Lite API version
* @ingroup lite_pw_dqnn
*/
LITE_API_ENTRY
void forward_lite_pw_is1os8ws1_bn(const ai_u32 *pDataIn_init,
ai_i8 *pDataOut_init,
const ai_u32 *pWeights_init,
const ai_u32 n_channel_in,
const ai_u32 n_channel_out,
const ai_i32 width_out,
const ai_i32 height_out,
const ai_float *pScale,
const ai_float *pOffset);
/*!
* @brief Handles point wise convolution with binary input, 8-bits output and
* binary weights - Lite API version - Optimized thanks to Optim1
* assumptions
* @ingroup lite_pw_dqnn
*/
LITE_API_ENTRY
void forward_lite_pw_is1os8ws1_bn_optim1(const ai_u32 *pDataIn_init,
ai_i8 *pDataOut_init,
const ai_u32 *pWeights_init,
const ai_u32 n_channel_in,
const ai_u32 n_channel_out,
const ai_i32 width_out,
const ai_i32 height_out,
const ai_float *pScale,
const ai_float *pOffset);
/*!
* @brief Handles point-wise convolution with binary input, float32 output
* and binary weights - Lite API version
* @ingroup lite_pw_dqnn
*/
LITE_API_ENTRY
void forward_lite_pw_is1of32ws1_bn(const ai_u32 *pDataIn_init,
ai_float *pDataOut_init,
const ai_u32 *pWeights_init,
const ai_u32 n_channel_in,
const ai_u32 n_channel_out,
const ai_i32 width_out,
const ai_i32 height_out,
const ai_float *pScale,
const ai_float *pOffset);
/*!
* @brief Handles point-wise convolution with binary input, float32 output
* and binary weights - Lite API version - Optimized thanks to Optim1
* assumptions
* @ingroup lite_pw_dqnn
*/
LITE_API_ENTRY
void forward_lite_pw_is1of32ws1_bn_optim1(const ai_u32 *pDataIn_init,
ai_float *pDataOut_init,
const ai_u32 *pWeights_init,
const ai_u32 n_channel_in,
const ai_u32 n_channel_out,
const ai_i32 width_out,
const ai_i32 height_out,
const ai_float *pScale,
const ai_float *pOffset);
#endif /*LITE_PW_DQNN_H*/