#pragma once
#include "dl_lib_matrix3d.h"
typedef int16_t qtp_t;
/*
* Matrix for 3d
* @Warning: the sequence of variables is fixed, cannot be modified, otherwise there will be errors in esp_dsp_dot_float
*/
typedef struct
{
/******* fix start *******/
int w; // Width
int h; // Height
int c; // Channel
int n; // Number, to record filter's out_channels. input and output must be 1
int stride;
int exponent;
qtp_t *item;
/******* fix end *******/
} dl_matrix3dq_t;
#ifndef DL_QTP_SHIFT
#define DL_QTP_SHIFT 15
#define DL_ITMQ(m, x, y) m->itemq[(y) + (x)*m->stride]
#define DL_QTP_RANGE ((1 << DL_QTP_SHIFT) - 1)
#define DL_QTP_MAX 32767
#define DL_QTP_MIN -32768
#define DL_QTP_EXP_NA 255 //non-applicable exponent because matrix is null
#define DL_SHIFT_AUTO 32
#endif
typedef enum
{
DL_C_IMPL = 0,
DL_XTENSA_IMPL = 1
} dl_conv_mode;
typedef struct
{
int stride_x;
int stride_y;
dl_padding_type padding;
dl_conv_mode mode;
int dilate_exponent;
int depthwise_exponent;
int compress_exponent;
} dl_matrix3dq_mobilenet_config_t;
//
// Utility
//
/*
* @brief Allocate a 3D matrix
*
* @param n,w,h,c number, width, height, channel
* @return 3d matrix
*/
dl_matrix3dq_t *dl_matrix3dq_alloc(int n, int w, int h, int c, int e);
/*
* @brief Free a 3D matrix
*
* @param m matrix
*/
void dl_matrix3dq_free(dl_matrix3dq_t *m);
/**
* @brief Zero out the matrix
* Sets all entries in the matrix to 0.
*
* @param m Matrix to zero
*/
/**
* @brief Copy a range of items from an existing matrix to a preallocated matrix
*
* @param in Old matrix (with foreign data) to re-use. Passing NULL will allocate a new matrix.
* @param x X-offset of the origin of the returned matrix within the sliced matrix
* @param y Y-offset of the origin of the returned matrix within the sliced matrix
* @param w Width of the resulting matrix
* @param h Height of the resulting matrix
* @return The resulting slice matrix
*/
void dl_matrix3dq_slice_copy(dl_matrix3dq_t *dst, dl_matrix3dq_t *src, int x, int y, int w, int h);
dl_matrix3d_t *dl_matrix3d_from_matrixq(dl_matrix3dq_t *m);
dl_matrix3dq_t *dl_matrixq_from_matrix3d_qmf(dl_matrix3d_t *m, int exponent);
dl_matrix3dq_t *dl_matrixq_from_matrix3d(dl_matrix3d_t *m);
qtp_t dl_matrix3dq_quant_range_exceeded_checking(int64_t value, char *location);
void dl_matrix3dq_shift_exponent(dl_matrix3dq_t *out, dl_matrix3dq_t *in, int exponent);
void dl_matrix3dq_batch_normalize(dl_matrix3dq_t *m, dl_matrix3dq_t *scale, dl_matrix3dq_t *offset);
dl_matrix3dq_t *dl_matrix3dq_add(dl_matrix3dq_t *in_1, dl_matrix3dq_t *in_2, int exponent);
//
// Activation
//
void dl_matrix3dq_relu(dl_matrix3dq_t *in);
void dl_matrix3dq_relu_clip(dl_matrix3dq_t *in, fptp_t clip);
void dl_matrix3dq_leaky_relu(dl_matrix3dq_t *in, fptp_t alpha, fptp_t clip);
void dl_matrix3dq_p_relu(dl_matrix3dq_t *in, dl_matrix3dq_t *alpha);
//
// Concat
//
dl_matrix3dq_t *dl_matrix3dq_concat(dl_matrix3dq_t *in_1,
dl_matrix3dq_t *in_2);
dl_matrix3dq_t *dl_matrix3dq_concat_4(dl_matrix3dq_t *in_1,
dl_matrix3dq_t *in_2,
dl_matrix3dq_t *in_3,
dl_matrix3dq_t *in_4);
dl_matrix3dq_t *dl_matrix3dq_concat_8(dl_matrix3dq_t *in_1,
dl_matrix3dq_t *in_2,
dl_matrix3dq_t *in_3,
dl_matrix3dq_t *in_4,
dl_matrix3dq_t *in_5,
dl_matrix3dq_t *in_6,
dl_matrix3dq_t *in_7,
dl_matrix3dq_t *in_8);
//
// Conv 1x1
//
void dl_matrix3dqq_conv_1x1(dl_matrix3dq_t *out,
dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
dl_conv_mode mode);
void dl_matrix3dqq_conv_1x1_with_relu(dl_matrix3dq_t *out,
dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
dl_conv_mode mode);
void dl_matrix3dqq_conv_1x1_with_bias(dl_matrix3dq_t *out,
dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
dl_matrix3dq_t *bias,
dl_conv_mode mode,
char *name);
void dl_matrix3dqq_conv_1x1_with_prelu(dl_matrix3dq_t *out,
dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
dl_matrix3dq_t *prelu,
dl_conv_mode mode);
void dl_matrix3dqq_conv_1x1_with_bias_relu(dl_matrix3dq_t *out,
dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
dl_matrix3dq_t *bias,
dl_conv_mode mode);
void dl_matrix3duq_conv_1x1(dl_matrix3dq_t *out,
dl_matrix3du_t *in,
dl_matrix3dq_t *filter,
dl_conv_mode mode);
void dl_matrix3duq_conv_1x1_with_bias(dl_matrix3dq_t *out,
dl_matrix3du_t *in,
dl_matrix3dq_t *filter,
dl_matrix3dq_t *bias,
dl_conv_mode mode);
//
// Conv 3x3
//
void dl_matrix3dqq_conv_3x3_op(dl_matrix3dq_t *out,
dl_matrix3dq_t *in,
dl_matrix3dq_t *f,
int stride_x,
int stride_y);
dl_matrix3dq_t *dl_matrix3dqq_conv_3x3(dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent);
dl_matrix3dq_t *dl_matrix3dqq_conv_3x3_with_bias(dl_matrix3dq_t *in,
dl_matrix3dq_t *f,
dl_matrix3dq_t *bias,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent,
int relu);
dl_matrix3dq_t *dl_matrix3duq_conv_3x3_with_bias(dl_matrix3du_t *in,
dl_matrix3dq_t *filter,
dl_matrix3dq_t *bias,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent,
char *name);
dl_matrix3dq_t *dl_matrix3duq_conv_3x3_with_bias_prelu(dl_matrix3du_t *in,
dl_matrix3dq_t *filter,
dl_matrix3dq_t *bias,
dl_matrix3dq_t *prelu,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent,
char *name);
//
// Conv common
//
/**
* @brief Do a general CNN layer pass, dimension is (number, width, height, channel)
*
* @param in Input image
* @param filter Weights of the neurons
* @param bias Bias for the CNN layer.
* @param stride_x The step length of the convolution window in x(width) direction
* @param stride_y The step length of the convolution window in y(height) direction
* @param padding One of VALID or SAME
* @param mode Do convolution using C implement or xtensa implement, 0 or 1, with respect.
* If ESP_PLATFORM is not defined, this value is not used.
* @return The result of CNN layer.
*/
dl_matrix3dq_t *dl_matrix3dqq_conv_common(dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
dl_matrix3dq_t *bias,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent,
dl_conv_mode mode);
dl_matrix3dq_t *dl_matrix3duq_conv_common(dl_matrix3du_t *in,
dl_matrix3dq_t *filter,
dl_matrix3dq_t *bias,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent,
dl_conv_mode mode);
//
// Depthwise 3x3
//
dl_matrix3dq_t *dl_matrix3duq_depthwise_conv_3x3(dl_matrix3du_t *in,
dl_matrix3dq_t *filter,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent);
dl_matrix3dq_t *dl_matrix3dqq_depthwise_conv_3x3(dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent);
#if CONFIG_DEVELOPING_CODE
dl_matrix3dq_t *dl_matrix3dqq_depthwise_conv_3x3_2(dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent);
dl_matrix3dq_t *dl_matrix3dqq_depthwise_conv_3x3_3(dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent);
#endif
dl_matrix3dq_t *dl_matrix3dqq_depthwise_conv_3x3_with_bias(dl_matrix3dq_t *in,
dl_matrix3dq_t *f,
dl_matrix3dq_t *bias,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent,
int relu);
dl_matrix3dq_t *dl_matrix3dqq_depthwise_conv_3x3_with_prelu(dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
dl_matrix3dq_t *prelu,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent);
dl_matrix3dq_t *dl_matrix3dqq_depthwise_conv_3x3s1_with_bias(dl_matrix3dq_t *in,
dl_matrix3dq_t *f,
dl_matrix3dq_t *bias,
dl_padding_type padding,
int exponent,
int relu);
//
// Depthwise Common
//
#if CONFIG_DEVELOPING_CODE
dl_matrix3dq_t *dl_matrix3dqq_depthwise_conv_common(dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent,
dl_conv_mode mode);
dl_matrix3dq_t *dl_matrix3duq_depthwise_conv_common(dl_matrix3du_t *in,
dl_matrix3dq_t *filter,
int stride_x,
int stride_y,
dl_padding_type padding,
int exponent,
dl_conv_mode mode);
#endif
//
// Dot Product
//
void dl_matrix3dqq_dot_product(dl_matrix3dq_t *out,
dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
dl_conv_mode mode);
//
// FC
//
void dl_matrix3dqq_fc(dl_matrix3dq_t *out,
dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
dl_conv_mode mode);
void dl_matrix3dqq_fc_with_bias(dl_matrix3dq_t *out,
dl_matrix3dq_t *in,
dl_matrix3dq_t *filter,
dl_matrix3dq_t *bias,
dl_conv_mode mode,
char *name);
//
// Mobilefaceblock
//
dl_matrix3dq_t *dl_matrix3dqq_mobilefaceblock_split(dl_matrix3dq_t *in,
dl_matrix3dq_t *pw_1,
dl_matrix3dq_t *pw_2,
dl_matrix3dq_t *pw_bias,
dl_matrix3dq_t *dw,
dl_matrix3dq_t *dw_bias,
dl_matrix3dq_t *pw_linear_1,
dl_matrix3dq_t *pw_linear_2,
dl_matrix3dq_t *pw_linear_bias,
int pw_exponent,
int dw_exponent,
int pw_linear_exponent,
int stride_x,
int stride_y,
dl_padding_type padding,
dl_conv_mode mode,
int shortcut);
dl_matrix3dq_t *dl_matrix3dqq_mobilefaceblock(dl_matrix3dq_t *in,
dl_matrix3dq_t *pw,
dl_matrix3dq_t *pw_bias,
dl_matrix3dq_t *dw,
dl_matrix3dq_t *dw_bias,
dl_matrix3dq_t *pw_linear,
dl_matrix3dq_t *pw_linear_bias,
int pw_exponent,
int dw_exponent,
int pw_linear_exponent,
int stride_x,
int stride_y,
dl_padding_type padding,
dl_conv_mode mode,
int shortcut);
//
// Mobilenet
//
dl_matrix3dq_t *dl_matrix3dqq_mobilenet(dl_matrix3dq_t *in,
dl_matrix3dq_t *dilate,
dl_matrix3dq_t *dilate_prelu,
dl_matrix3dq_t *depthwise,
dl_matrix3dq_t *depth_prelu,
dl_matrix3dq_t *compress,
dl_matrix3dq_t *bias,
dl_matrix3dq_mobilenet_config_t config,
char *name);
dl_matrix3dq_t *dl_matrix3duq_mobilenet(dl_matrix3du_t *in,
dl_matrix3dq_t *dilate,
dl_matrix3dq_t *dilate_prelu,
dl_matrix3dq_t *depthwise,
dl_matrix3dq_t *depth_prelu,
dl_matrix3dq_t *compress,
dl_matrix3dq_t *bias,
dl_matrix3dq_mobilenet_config_t config,
char *name);
//
// Padding
//
dl_error_type dl_matrix3dqq_padding(dl_matrix3dq_t **padded_in,
dl_matrix3dq_t **out,
dl_matrix3dq_t *in,
int out_c,
int stride_x,
int stride_y,
int padding,
int exponent);
dl_error_type dl_matrix3duq_padding(dl_matrix3du_t **padded_in,
dl_matrix3dq_t **out,
dl_matrix3du_t *in,
int out_c,
int stride_x,
int stride_y,
int padding,
int exponent);
//
// Pooling
//
dl_matrix3dq_t *dl_matrix3dq_global_pool(dl_matrix3dq_t *in);