Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)  0.13
Performance library for Deep Learning
mkldnn_debug.h
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16 
17 /* DO NOT EDIT, AUTO-GENERATED */
18 
19 #ifndef MKLDNN_DEBUG_H
20 #define MKLDNN_DEBUG_H
21 
22 #include "mkldnn_types.h"
23 
24 #ifdef __cplusplus
25 extern "C" {
26 #endif
27 
28 const char *mkldnn_status2str(mkldnn_status_t v);
29 const char *mkldnn_dt2str(mkldnn_data_type_t v);
35 
36 #ifdef __cplusplus
37 }
38 #endif
39 
40 #endif
mkldnn_status_t
Status values returned by Intel(R) MKL-DNN functions.
Definition: mkldnn_types.h:39
const char * mkldnn_prop_kind2str(mkldnn_prop_kind_t v)
const char * mkldnn_fmt2str(mkldnn_memory_format_t v)
mkldnn_round_mode_t
Rounding mode.
Definition: mkldnn_types.h:78
mkldnn_memory_format_t
Memory format specification.
Definition: mkldnn_types.h:107
mkldnn_prop_kind_t
Kinds of propagation.
Definition: mkldnn_types.h:263
const char * mkldnn_rmode2str(mkldnn_round_mode_t v)
const char * mkldnn_prim_kind2str(mkldnn_primitive_kind_t v)
mkldnn_primitive_kind_t
Kinds of primitives.
Definition: mkldnn_types.h:290
const char * mkldnn_dt2str(mkldnn_data_type_t v)
mkldnn_data_type_t
Data type specification.
Definition: mkldnn_types.h:62
const char * mkldnn_alg_kind2str(mkldnn_alg_kind_t v)
const char * mkldnn_status2str(mkldnn_status_t v)
mkldnn_alg_kind_t
Kinds of algorithms.
Definition: mkldnn_types.h:326