tensor_data.c File Reference

Internal functions to handle various tensor type and value. More...

#include <math.h>
#include "tensor_data.h"
#include "nnstreamer_log.h"
#include "nnstreamer_plugin_api.h"

Include dependency graph for tensor_data.c:

Go to the source code of this file.

Macros
#define	td_set_data(td, v, dtype)
	Macro to set data in struct. More...
#define	td_get_data(td, v, dtype)
#define	td_typecast_to(td, itype, otype)
#define	td_typecast_to_fromf16(td, itype)
#define	td_typecast(td, otype)

Functions
	while (0)
	dtype = *((dtype *) v); \ More...
gboolean	gst_tensor_data_get (tensor_data_s *td, gpointer value)
	Get tensor element value. More...
gboolean	gst_tensor_data_typecast (tensor_data_s *td, tensor_type type)
	Typecast tensor element data. More...
gboolean	gst_tensor_data_raw_typecast (gpointer input, tensor_type in_type, gpointer output, tensor_type out_type)
	Typecast tensor element value. More...
gboolean	gst_tensor_data_raw_average (gpointer raw, gsize length, tensor_type type, gdouble **result)
	Calculate average value of the tensor. More...
gboolean	gst_tensor_data_raw_average_per_channel (gpointer raw, gsize length, tensor_type type, tensor_dim dim, gdouble **results)
	Calculate average value of the tensor per channel (the first dim). More...
gboolean	gst_tensor_data_raw_std (gpointer raw, gsize length, tensor_type type, gdouble *average, gdouble **result)
	Calculate standard deviation of the tensor. More...
gboolean	gst_tensor_data_raw_std_per_channel (gpointer raw, gsize length, tensor_type type, tensor_dim dim, gdouble *averages, gdouble **results)
	Calculate standard deviation of the tensor per channel (the first dim). More...

Detailed Description

Internal functions to handle various tensor type and value.

Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved.

Date

10 Mar 2021

See also

http://github.com/nnstreamer/nnstreamer

Author

Jaeyun Jung jy121.nosp@m.0.ju.nosp@m.ng@sa.nosp@m.msun.nosp@m.g.com

Bug:

No known bugs except for NYI items

Definition in file tensor_data.c.

Macro Definition Documentation

td_get_data

#define td_get_data	(		td,
			v,
			dtype
	)

Value:

    do { \
    *((dtype *) v) = (td)->data._

td_set_data

#define td_set_data	(		td,
			v,
			dtype
	)

Value:

    do { \
    (td)->data._

Macro to set data in struct.

Definition at line 21 of file tensor_data.c.

td_typecast

#define td_typecast	(		td,
			otype
	)

Value:

    do { \
    switch ((td)->type) { \
      case _NNS_INT32: td_typecast_to (td, int32_t, otype); break; \
      case _NNS_UINT32: td_typecast_to (td, uint32_t, otype); break; \
      case _NNS_INT16: td_typecast_to (td, int16_t, otype); break; \
      case _NNS_UINT16:  td_typecast_to (td, uint16_t, otype); break; \
      case _NNS_INT8: td_typecast_to (td, int8_t, otype); break; \
      case _NNS_UINT8: td_typecast_to (td, uint8_t, otype); break; \
      case _NNS_FLOAT64: td_typecast_to (td, double, otype); break; \
      case _NNS_FLOAT32: td_typecast_to (td, float, otype); break; \
      case _NNS_FLOAT16: td_typecast_to_fromf16 (td, otype); break; \
      case _NNS_INT64: td_typecast_to (td, int64_t, otype); break; \
      case _NNS_UINT64: td_typecast_to (td, uint64_t, otype); break; \
      default: g_assert (0); break; \
    } \
  } while (0)

td_typecast_to

#define td_typecast_to	(		td,
			itype,
			otype
	)

Value:

    do { \
    itype in_val = (td)->data._

td_typecast_to_fromf16

#define td_typecast_to_fromf16	(		td,
			itype
	)

Value:

    do { \
    nns_loge ("Your nnstreamer binary is built without -DFLOAT16_SUPPORT option; thus float16 is not supported.\n"); \
    g_assert (0); \
  } while (0)

Function Documentation

gst_tensor_data_get()

gboolean gst_tensor_data_get	(	tensor_data_s *	td,
		gpointer	value
	)

Get tensor element value.

Parameters

td	struct for tensor data
value	pointer of tensor element value

Returns

TRUE if no error

Definition at line 143 of file tensor_data.c.

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gst_tensor_data_raw_average()

gboolean gst_tensor_data_raw_average	(	gpointer	raw,
		gsize	length,
		tensor_type	type,
		gdouble **	result
	)

Calculate average value of the tensor.

Parameters

raw	pointer of raw tensor data
length	byte size of raw tensor data
type	tensor type
result	double pointer for average value of given tensor. Caller should release allocated memory.

Returns

TRUE if no error

Definition at line 315 of file tensor_data.c.

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gst_tensor_data_raw_average_per_channel()

gboolean gst_tensor_data_raw_average_per_channel	(	gpointer	raw,
		gsize	length,
		tensor_type	type,
		tensor_dim	dim,
		gdouble **	results
	)

Calculate average value of the tensor per channel (the first dim).

Parameters

raw	pointer of raw tensor data
length	byte size of raw tensor data
type	tensor type
tensor_dim	tensor dimension
results	double array contains average values of each channel. Caller should release allocated array.

Returns

TRUE if no error

Definition at line 360 of file tensor_data.c.

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gst_tensor_data_raw_std()

gboolean gst_tensor_data_raw_std	(	gpointer	raw,
		gsize	length,
		tensor_type	type,
		gdouble *	average,
		gdouble **	result
	)

Calculate standard deviation of the tensor.

Parameters

raw	pointer of raw tensor data
length	byte size of raw tensor data
type	tensor type
average	average value of given tensor
result	double pointer for standard deviation of given tensor. Caller should release allocated memory.

Returns

TRUE if no error

Definition at line 409 of file tensor_data.c.

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gst_tensor_data_raw_std_per_channel()

gboolean gst_tensor_data_raw_std_per_channel	(	gpointer	raw,
		gsize	length,
		tensor_type	type,
		tensor_dim	dim,
		gdouble *	averages,
		gdouble **	results
	)

Calculate standard deviation of the tensor per channel (the first dim).

Parameters

raw	pointer of raw tensor data
length	byte size of raw tensor data
type	tensor type
tensor_dim	tensor dimension
averages	average values of given tensor per-channel
results	double array contains standard deviation of each channel. Caller should release allocated array.

Returns

TRUE if no error

Definition at line 455 of file tensor_data.c.

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gst_tensor_data_raw_typecast()

gboolean gst_tensor_data_raw_typecast	(	gpointer	input,
		tensor_type	in_type,
		gpointer	output,
		tensor_type	out_type
	)

Typecast tensor element value.

Parameters

input	pointer of input tensor data
in_type	input tensor type
output	pointer of output tensor data
out_type	output tensor type

Returns

TRUE if no error

Definition at line 290 of file tensor_data.c.

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gst_tensor_data_typecast()

gboolean gst_tensor_data_typecast	(	tensor_data_s *	td,
		tensor_type	type
	)

Typecast tensor element data.

Parameters

td	struct for tensor data
type	tensor type to be transformed

Returns

TRUE if no error

Definition at line 203 of file tensor_data.c.

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while()

while

(

0

)

dtype = *((dtype *) v); \

Definition at line 23 of file tensor_data.c.