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Rolling v10.6.1

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jomjol
2022-07-24 18:53:25 +02:00
parent 189093d548
commit 0e7c600cf7
209 changed files with 1791 additions and 12917 deletions
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136
code/components/esp-nn/include/esp_nn_ansi_headers.h
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@@ -18,7 +18,8 @@
* @file Header definitions to include for esp_nn reference functions
*/
#include "esp_nn_defs.h"
#include <stdint.h>
/************************** Basic math functions ****************************/
/**
@@ -80,15 +81,28 @@ void esp_nn_mul_elementwise_s8_ansi(const int8_t *input1_data,
* optimization notes: Though input_offset is int32 type,
* offset values are contained in 8 bits [-128, 127]
*/
void esp_nn_depthwise_conv_s8_ansi(const data_dims_t *input_dims,
const int8_t *input_data,
const data_dims_t *filter_dims,
void esp_nn_depthwise_conv_s8_ansi(const int8_t *input_data,
const uint16_t input_wd,
const uint16_t input_ht,
const uint16_t channels,
const int32_t input_offset,
const uint16_t pad_wd,
const uint16_t pad_ht,
const uint16_t stride_wd,
const uint16_t stride_ht,
const uint16_t ch_mult,
const int8_t *filter_data,
const uint16_t filter_wd,
const uint16_t filter_ht,
const int32_t *bias,
const data_dims_t *output_dims,
int8_t *out_data,
const dw_conv_params_t *conv_params,
const quant_data_t *quant_data);
const uint16_t out_wd,
const uint16_t out_ht,
const int32_t out_offset,
const int32_t *out_shift,
const int32_t *out_mult,
const int32_t activation_min,
const int32_t activation_max);
/**
* @brief 2d-convolution channelwise
@@ -98,26 +112,43 @@ void esp_nn_depthwise_conv_s8_ansi(const data_dims_t *input_dims,
* inputs type: int8_t, output: int8_t
* input offsets: although int32_t, they are contained in 8 bits [-128, 127]
*/
void esp_nn_conv_s8_ansi(const data_dims_t *input_dims,
const int8_t *input_data,
const data_dims_t *filter_dims,
void esp_nn_conv_s8_ansi(const int8_t *input_data,
const uint16_t input_wd,
const uint16_t input_ht,
const uint16_t in_channels,
const int32_t input_offset,
const uint16_t pad_wd,
const uint16_t pad_ht,
const uint16_t stride_wd,
const uint16_t stride_ht,
const int8_t *filter_data,
const uint16_t filter_wd,
const uint16_t filter_ht,
const int32_t *bias,
const data_dims_t *output_dims,
int8_t *out_data,
const conv_params_t *conv_params,
const quant_data_t *quant_data);
const uint16_t out_wd,
const uint16_t out_ht,
const uint16_t out_channels,
const int32_t out_offset,
const int32_t *out_shift,
const int32_t *out_mult,
const int32_t activation_min,
const int32_t activation_max);
int esp_nn_get_conv_scratch_size_ansi(const data_dims_t *input_dims,
const data_dims_t *filter_dims,
const data_dims_t *output_dims,
const conv_params_t *conv_params);
int esp_nn_get_conv_scratch_size_ansi(const uint16_t input_wd,
const uint16_t input_ht,
const uint16_t in_ch,
const uint16_t out_ch,
const uint16_t filter_wd,
const uint16_t filter_ht);
void esp_nn_set_conv_scratch_buf_ansi(const void *buf);
int esp_nn_get_depthwise_conv_scratch_size_ansi(const data_dims_t *input_dims,
const data_dims_t *filter_dims,
const data_dims_t *output_dims,
const dw_conv_params_t *conv_params);
int esp_nn_get_depthwise_conv_scratch_size_ansi(const uint16_t input_wd,
const uint16_t input_ht,
const uint16_t channels,
const uint16_t ch_mult,
const uint16_t filter_wd,
const uint16_t filter_ht);
void esp_nn_set_depthwise_conv_scratch_buf_ansi(const void *buf);
/************************** Activation functions *****************************/
@@ -221,6 +252,9 @@ int32_t esp_nn_get_softmax_scratch_size_opt(const int32_t width, const int32_t h
*/
void esp_nn_set_softmax_scratch_buf_ansi(void *buffer);
/* ANSI C function to be hooked up when optimised version needed */
void esp_nn_set_softmax_scratch_buf_opt(void *buffer);
/**
* @brief reference softmax function
*
@@ -234,66 +268,6 @@ void esp_nn_softmax_s8_ansi(const int8_t *input_data,
const int32_t diff_min,
int8_t *output_data);
//////////////////////////// Generic optimisations /////////////////////////////
/************************** Convolution functions *****************************/
/**
* @brief 2d-convolution channelwise optimized version
*
* @note operation: result += (input + offset) * filter
*
* inputs type: int8_t, output: int8_t
* input offsets: although int32_t, they are contained in 8 bits [-128, 127]
*/
void esp_nn_conv_s8_opt(const data_dims_t *input_dims,
const int8_t *input_data,
const data_dims_t *filter_dims,
const int8_t *filter_data,
const int32_t *bias,
const data_dims_t *output_dims,
int8_t *out_data,
const conv_params_t *conv_params,
const quant_data_t *quant_data);
/**
* @brief depthwise convolution per channel optimized version
*
* @note inputs type: int8_t, output: int8_t
* Version used in tflite is per channel.
* This version follows the same footsprints.
* Meaning, it has per out_channel shift and multiplier for
* requantization
*
* optimization notes: Though input_offset is int32 type,
* offset values are contained in 8 bits [-128, 127]
*/
void esp_nn_depthwise_conv_s8_opt(const data_dims_t *input_dims,
const int8_t *input_data,
const data_dims_t *filter_dims,
const int8_t *filter_data,
const int32_t *bias,
const data_dims_t *output_dims,
int8_t *out_data,
const dw_conv_params_t *conv_params,
const quant_data_t *quant_data);
int esp_nn_get_conv_scratch_size_opt(const data_dims_t *input_dims,
const data_dims_t *filter_dims,
const data_dims_t *output_dims,
const conv_params_t *conv_params);
void esp_nn_set_conv_scratch_buf_opt(const void *buf);
int esp_nn_get_depthwise_conv_scratch_size_opt(const data_dims_t *input_dims,
const data_dims_t *filter_dims,
const data_dims_t *output_dims,
const dw_conv_params_t *conv_params);
void esp_nn_set_depthwise_conv_scratch_buf_opt(const void *buf);
/* ANSI C function to be hooked up when optimised version needed */
void esp_nn_set_softmax_scratch_buf_opt(void *buffer);
/**
* @brief optimised version of softmax function
*