145 lines
6.8 KiB
C
145 lines
6.8 KiB
C
#pragma once
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#include "dl_lib_matrix3d.h"
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typedef int16_t qtp_t;
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/*
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* Matrix for 3d
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* @Warning: the sequence of variables is fixed, cannot be modified, otherwise there will be errors in esp_dsp_dot_float
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*/
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typedef struct
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{
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/******* fix start *******/
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int w; // Width
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int h; // Height
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int c; // Channel
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int n; // Number, to record filter's out_channels. input and output must be 1
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int stride;
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int exponent;
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qtp_t *item;
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/******* fix end *******/
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} dl_matrix3dq_t;
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#define DL_QTP_SHIFT 15
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#define DL_QTP_RANGE ((1<<DL_QTP_SHIFT)-1)
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//#define DL_ITMQ(m, x, y) m->itemq[(y)+(x)*m->stride]
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#define DL_QTP_EXP_NA 255 //non-applicable exponent because matrix is null
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#define DL_SHIFT_AUTO 32
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/*
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* @brief Allocate a 3D matrix
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*
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* @param n,w,h,c number, width, height, channel
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* @return 3d matrix
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*/
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dl_matrix3dq_t *dl_matrix3dq_alloc(int n, int w, int h, int c, int e);
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/*
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* @brief Free a 3D matrix
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*
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* @param m matrix
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*/
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void dl_matrix3dq_free(dl_matrix3dq_t *m);
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/**
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* @brief Zero out the matrix
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* Sets all entries in the matrix to 0.
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*
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* @param m Matrix to zero
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*/
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dl_matrix3d_t *dl_matrix3d_from_matrixq(dl_matrix3dq_t *m);
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dl_matrix3dq_t *dl_matrixq_from_matrix3d_qmf(dl_matrix3d_t *m,int exponent);
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dl_matrix3dq_t *dl_matrixq_from_matrix3d(dl_matrix3d_t *m);
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/**
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* @brief Copy a range of items from an existing matrix to a preallocated matrix
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*
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* @param in Old matrix (with foreign data) to re-use. Passing NULL will allocate a new matrix.
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* @param x X-offset of the origin of the returned matrix within the sliced matrix
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* @param y Y-offset of the origin of the returned matrix within the sliced matrix
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* @param w Width of the resulting matrix
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* @param h Height of the resulting matrix
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* @return The resulting slice matrix
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*/
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void dl_matrix3dq_slice_copy (dl_matrix3dq_t *dst, dl_matrix3dq_t *src, int x, int y, int w, int h);
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/**
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* @brief Do a general CNN layer pass, dimension is (number, width, height, channel)
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*
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* @param in Input image
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* @param filter Weights of the neurons
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* @param bias Bias for the CNN layer.
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* @param stride_x The step length of the convolution window in x(width) direction
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* @param stride_y The step length of the convolution window in y(height) direction
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* @param padding One of VALID or SAME
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* @param mode Do convolution using C implement or xtensa implement, 0 or 1, with respect.
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* If ESP_PLATFORM is not defined, this value is not used.
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* @return The result of CNN layer.
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*/
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dl_matrix3dq_t *dl_matrix3dq_fc (dl_matrix3dq_t *in, dl_matrix3dq_t *filter, dl_matrix3dq_t *bias, int exponent,int mode);
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dl_matrix3dq_t *dl_matrix3dq_conv (dl_matrix3dq_t *in, dl_matrix3dq_t *filter, dl_matrix3dq_t *bias,
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int stride_x, int stride_y, int padding, int exponent, int mode);
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dl_matrix3dq_t *dl_matrix3dq_conv_normal (dl_matrix3dq_t *in, dl_matrix3dq_t *filter, dl_matrix3dq_t *bias,
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int stride_x, int stride_y, int padding, int exponent, int mode);
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void dl_matrix3dq_conv_1x1 (dl_matrix3dq_t *out, dl_matrix3dq_t *in, dl_matrix3dq_t *f, dl_conv_mode mode);
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void dl_matrix3dq_conv_3x3_normal (dl_matrix3dq_t *out,
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dl_matrix3dq_t *in,
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dl_matrix3dq_t *f,
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int step_x,
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int step_y);
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dl_matrix3dq_t *dl_matrix3dq_conv_3x3_with_bn (dl_matrix3dq_t *in,
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dl_matrix3dq_t *f,
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dl_matrix3dq_t *scale,
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dl_matrix3dq_t *offset,
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int step_x,
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int step_y,
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int padding,
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int exponent,
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int relu);
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/**
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* @brief Print the matrix3d items
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*
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* @param m dl_matrix3d_t to be printed
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* @param message name of matrix
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*/
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void dl_matrix3dq_print (dl_matrix3dq_t *m, char *message);
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dl_matrix3dq_t *dl_matrix3dq_depthwise_conv (dl_matrix3dq_t *in, dl_matrix3dq_t *filter,
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int stride_x, int stride_y, int padding, int exponent, int mode);
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dl_matrix3dq_t *dl_matrix3dq_depthwise_conv_3x3_with_bn(dl_matrix3dq_t *in,
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dl_matrix3dq_t *f,
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dl_matrix3dq_t *scale,
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dl_matrix3dq_t *offset,
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int step_x,
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int step_y,
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int padding,
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int exponent,
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int relu);
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void dl_matrix3dq_relu (dl_matrix3dq_t *m, fptp_t clip);
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dl_matrix3dq_t *dl_matrix3dq_global_pool (dl_matrix3dq_t *in);
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void dl_matrix3dq_batch_normalize (dl_matrix3dq_t *m, dl_matrix3dq_t *scale, dl_matrix3dq_t *offset);
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dl_matrix3dq_t *dl_matrix3dq_add (dl_matrix3dq_t *in_1, dl_matrix3dq_t *in_2, int exponent);
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void dl_matrix3dq_relu_std (dl_matrix3dq_t *m);
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dl_matrix3dq_t *dl_matrix3dq_mobilefaceblock (void *in, dl_matrix3dq_t *pw, dl_matrix3dq_t *pw_bn_scale,dl_matrix3dq_t *pw_bn_offset,
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dl_matrix3dq_t *dw, dl_matrix3dq_t *dw_bn_scale,dl_matrix3dq_t *dw_bn_offset,
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dl_matrix3dq_t *pw_linear, dl_matrix3dq_t *pw_linear_bn_scale,dl_matrix3dq_t *pw_linear_bn_offset,
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int pw_exponent,int dw_exponent,int pw_linear_exponent,int stride_x, int stride_y, int padding, int mode, int shortcut);
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dl_matrix3dq_t *dl_matrix3dq_concat(dl_matrix3dq_t *in_1, dl_matrix3dq_t *in_2);
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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);
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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);
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dl_matrix3dq_t *dl_matrix3dq_mobilefaceblock_split (void *in, dl_matrix3dq_t *pw_1, dl_matrix3dq_t *pw_2, dl_matrix3dq_t *pw_bn_scale,dl_matrix3dq_t *pw_bn_offset,
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dl_matrix3dq_t *dw, dl_matrix3dq_t *dw_bn_scale,dl_matrix3dq_t *dw_bn_offset,
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dl_matrix3dq_t *pw_linear_1, dl_matrix3dq_t *pw_linear_2, dl_matrix3dq_t *pw_linear_bn_scale,dl_matrix3dq_t *pw_linear_bn_offset,
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int pw_exponent,int dw_exponent,int pw_linear_exponent,int stride_x, int stride_y, int padding, int mode, int shortcut);
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