47 lines
2.0 KiB
C
47 lines
2.0 KiB
C
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#ifndef DL_LIB_COEFGETTER_IF_H
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#define DL_LIB_COEFGETTER_IF_H
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#include "dl_lib_matrix.h"
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#include "dl_lib_matrixq.h"
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#include "dl_lib_matrix3d.h"
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//Set this if the coefficient requested is a batch-normalization popvar matrix which needs to be preprocessed by
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//dl_batch_normalize_get_sqrtvar first.
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#define COEF_GETTER_HINT_BNVAR (1<<0)
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/*
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This struct describes the basic information of model data:
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word_num: the number of wake words or speech commands
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word_list: the name list of wake words or speech commands
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thres_list: the threshold list of wake words or speech commands
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info_str: the string used to reflect the version and information of model data
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which consist of the architecture of network, the version of model data, wake words and their threshold
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*/
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typedef struct {
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int word_num;
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char **word_list;
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int *win_list;
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float *thresh_list;
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char *info_str;
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} model_info_t;
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/*
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This struct describes a generic coefficient getter: a way to get the constant coefficients needed for a neural network.
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For the two getters, the name describes the name of the coefficient matrix, usually the same as the Numpy filename the
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coefficient was originally stored in. The arg argument can be used to optionally pass an additional user-defined argument
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to the getter (e.g. the directory to look for files in the case of the Numpy file loader getter). The hint argument
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is a bitwise OR of the COEF_GETTER_HINT_* flags or 0 when none is needed. Use the free_f/free_q functions to release the
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memory for the returned matrices, when applicable.
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*/
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typedef struct {
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const dl_matrix2d_t* (*getter_f)(const char *name, void *arg, int hint);
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const dl_matrix2dq_t* (*getter_q)(const char *name, void *arg, int hint);
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const void* (*getter_3d)(const char *name, void *arg, int hint);
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const void* (*getter_3dq)(const char *name, void *arg, int hint);
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void (*free_f)(const dl_matrix2d_t *m);
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void (*free_q)(const dl_matrix2dq_t *m);
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const model_info_t* (*getter_info)(void *arg);
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} model_coeff_getter_t;
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#endif
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