openmv/lib/stai/libstai/include/lite_dense_is8os8ws8.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

98 lines
4.6 KiB
C

/**
******************************************************************************
* @file lite_dense_is8os8ws8.h
* @author AIS
* @brief header file of AI platform lite dense kernel datatypes
******************************************************************************
* @attention
*
* Copyright (c) 2022 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_DENSE_IS8OS8WS8_H
#define LITE_DENSE_IS8OS8WS8_H
#include "ai_lite_interface.h"
/******************************************************************************/
/* Forward Functions Section */
/******************************************************************************/
/*!
* @brief Forward function for a dense layer with signed input,
* signed output and signed weights all at 8 bits.
* @ingroup lite_dense_is8os8ws8
* @param input The pointer to input buffer.
* @param output The pointer to output buffer.
* @param weights The pointer to weights.
* @param bias The pointer to bias (NULL if not available).
* @param in_zeropoint The value of the zero point of the input.
* @param out_zeropoint TThe value of the zero point of the output.
* @param n_channel_in The number of channels of the input.
* @param n_channel_out The number of channels of the output, i.e.,
* the number of dense hidden neurons.
* @param n_pixels Total number of pixels.
*/
LITE_API_ENTRY
void forward_lite_dense_is8os8ws8(ai_i8 * pDataOut,
const ai_i8 *pDataIn,
const ai_i8 *pWeights,
const ai_i32 *pBias,
const ai_i8 in_zeropoint,
const ai_i8 out_zeropoint,
const ai_u16 n_channel_in,
const ai_u16 n_channel_out,
const ai_size n_pixels,
const ai_float in_scale,
const ai_float out_scale,
const ai_float Wt_scale,
ai_i16 *pBuffer_a);
void forward_lite_dense_hsp_is8os8ws8(ai_i8 * pDataOut,
const ai_i8 *pDataIn,
const ai_i8 *pWeights,
const ai_i32 *pBias,
const ai_i8 in_zeropoint,
const ai_i8 out_zeropoint,
const ai_u16 n_channel_in,
const ai_u16 n_channel_out,
const ai_size n_pixels,
const ai_float in_scale,
const ai_float out_scale,
const ai_float Wt_scale);
void forward_lite_dense_hsp_3step_is8os8ws8(ai_i8 * pDataOut,
const ai_i8 *pDataIn,
const ai_i8 *pWeights,
const ai_i32 *pBias,
const ai_i8 in_zeropoint,
const ai_i8 out_zeropoint,
const ai_u16 n_channel_in,
const ai_u16 n_channel_out,
const ai_size n_pixels,
const ai_float in_scale,
const ai_float out_scale,
const ai_float Wt_scale);
void forward_lite_dense_is8os8ws8_ch(ai_i8 * pDataOut,
const ai_i8 *pDataIn,
const ai_i8 *pWeights,
const ai_i32 *pBias,
const ai_i8 in_zeropoint,
const ai_i8 out_zeropoint,
const ai_u16 n_channel_in,
const ai_u16 n_channel_out,
const ai_size n_pixels,
const ai_float in_scale,
const ai_float out_scale,
const ai_float *pWt_scale,
ai_i16 *pBuffer_a);
#endif /*LITE_DENSE_IS8OS8WS8_H*/