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141 lines
6.0 KiB
C
141 lines
6.0 KiB
C
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/**
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******************************************************************************
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* @file lite_dense_is16.h
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* @author Giacomo Turati
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* @brief header file of AI platform lite dense kernel (with signed int16 input)
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******************************************************************************
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* @attention
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*
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* Copyright (c) 2024 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_DENSE_IS16_H
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#define LITE_DENSE_IS16_H
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#include "stai.h"
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#include "ai_lite_interface.h"
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/*!
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* @brief Dense layer with fixed-point int16_t weights (e.g., Qkeras "auto_po2").
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* Support signed integer 16 input and signed integer 16 output activations.
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* Both weights and bias (if any) must be quantized with 16 bits.
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* Manage different fixed-point scales between weights and bias (if any).
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* @ingroup lite_dense_ws16
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* @param output The pointer to output buffer.
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* @param input The pointer to input buffer.
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* @param weights The pointer to weights.
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* @param n_channel_in The number of channels of the input.
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* @param n_channel_out The number of channels of the output, i.e.,
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* the number of dense hidden neurons.
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* @param shifts Array of fixed-point binary scales for the weights
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* @param bias_shifts Array of fixed-point binary scales for the bias
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*/
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LITE_API_ENTRY
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void forward_lite_dense_is16os16ws16_fxp(
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int16_t* output,
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const int16_t* input,
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const int16_t* weights,
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const int16_t* bias,
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const uint32_t n_channel_in,
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const uint32_t n_channel_out,
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const uint8_t* shifts,
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const uint8_t* bias_shifts
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);
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/*!
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* @brief Dense layer with fixed-point int16_t weights (e.g., Qkeras "auto_po2").
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* Support signed integer 16 input and unsigned integer 16 output activations.
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* Both weights and bias (if any) must be quantized with 16 bits.
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* Manage different fixed-point scales between weights and bias (if any).
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* @ingroup lite_dense_ws16
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* @param output The pointer to output buffer.
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* @param input The pointer to input buffer.
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* @param weights The pointer to weights.
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* @param n_channel_in The number of channels of the input.
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* @param n_channel_out The number of channels of the output, i.e.,
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* the number of dense hidden neurons.
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* @param shifts Array of fixed-point binary scales for the weights
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* @param bias_shifts Array of fixed-point binary scales for the bias
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*/
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LITE_API_ENTRY
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void forward_lite_dense_is16ou16ws16_fxp(
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uint16_t* output,
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const int16_t* input,
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const int16_t* weights,
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const int16_t* bias,
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const uint32_t n_channel_in,
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const uint32_t n_channel_out,
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const uint8_t* shifts,
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const uint8_t* bias_shifts
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);
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/*!
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* @brief Dense layer with fixed-point int16_t weights (e.g., Qkeras "auto_po2").
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* Support unsigned integer 16 input and signed integer 16 output activations.
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* Both weights and bias (if any) must be quantized with 16 bits.
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* Manage different fixed-point scales between weights and bias (if any).
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* @ingroup lite_dense_ws16
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* @param output The pointer to output buffer.
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* @param input The pointer to input buffer.
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* @param weights The pointer to weights.
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* @param n_channel_in The number of channels of the input.
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* @param n_channel_out The number of channels of the output, i.e.,
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* the number of dense hidden neurons.
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* @param shifts Array of fixed-point binary scales for the weights
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* @param bias_shifts Array of fixed-point binary scales for the bias
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*/
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LITE_API_ENTRY
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void forward_lite_dense_iu16os16ws16_fxp(
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int16_t* output,
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const uint16_t* input,
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const int16_t* weights,
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const int16_t* bias,
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const uint32_t n_channel_in,
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const uint32_t n_channel_out,
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const uint8_t* shifts,
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const uint8_t* bias_shifts
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);
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/*!
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* @brief Dense layer with fixed-point int16_t weights (e.g., Qkeras "auto_po2").
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* Support unsigned integer 16 input and unsigned integer 16 output activations.
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* Both weights and bias (if any) must be quantized with 16 bits.
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* Manage different fixed-point scales between weights and bias (if any).
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* @ingroup lite_dense_ws16
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* @param output The pointer to output buffer.
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* @param input The pointer to input buffer.
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* @param weights The pointer to weights.
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* @param n_channel_in The number of channels of the input.
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* @param n_channel_out The number of channels of the output, i.e.,
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* the number of dense hidden neurons.
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* @param shifts Array of fixed-point binary scales for the weights
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* @param bias_shifts Array of fixed-point binary scales for the bias
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*/
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/*!
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* @brief Signed input / signed output API wrapper for _conv2d_ws16_fxp_backend.
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* @ingroup lite_conv2d_ws16
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*/
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LITE_API_ENTRY
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void forward_lite_dense_iu16ou16ws16_fxp(
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uint16_t* output,
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const uint16_t* input,
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const int16_t* weights,
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const int16_t* bias,
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const uint32_t n_channel_in,
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const uint32_t n_channel_out,
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const uint8_t* shifts,
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const uint8_t* bias_shifts
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);
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#endif /* LITE_DENSE_IS16_H */
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