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TensorDebugMode

public final enum TensorDebugMode

 Available modes for extracting debugging information from a Tensor.
 TODO(cais): Document the detailed column names and semantics in a separate
 markdown file once the implementation settles.

Protobuf enumeración tensorflow.TensorDebugMode

Constantes

En t	CONCISE_HEALTH_VALUE	A concise health summary for float-type tensors.
En t	CURT_HEALTH_VALUE	A minimalist health summary for float-type tensors.
En t	FULL_HEALTH_VALUE	A detailed health summary.
En t	FULL_NUMERICS_VALUE	Full numeric summary.
En t	FULL_TENSOR_VALUE	Full tensor value.
En t	NO_TENSOR_VALUE	Only records what tensors are computed, eagerly or in graphs.
En t	REDUCE_INF_NAN_THREE_SLOTS_VALUE	Reduce the elements of a tensor to a rank-1 tensor of shape [3], in which - the 1st element is -inf if any element of the tensor is -inf, or zero otherwise.
En t	SHAPE_VALUE	Provides full runtime shape information, up to a maximum rank, beyond which the dimension sizes are truncated.
En t	UNSPECIFIED_VALUE	`UNSPECIFIED = 0;`

Métodos heredados

De la clase java.lang.Enum

int final	compareTo ( TensorDebugMode arg0)
En t	compareTo (Objeto arg0)
booleano final	es igual a (Objeto arg0)
Clase final < TensorDebugMode >	getDeclaringClass ()
int final	hashCode ()
cadena final	nombre ()
int final	ordinal ()
Cuerda	toString ()
estática <T extiende Enum <T>> T	valueOf (Clase <T> arg0, String arg1)

De la clase java.lang.Object

booleano	es igual a (Objeto arg0)
Clase final <?>	getClass ()
En t	hashCode ()
vacío final	notificar ()
vacío final	notificar a todos ()
Cuerda	toString ()
vacío final	esperar (largo arg0, int arg1)
vacío final	espera (largo arg0)
vacío final	esperar ()

Desde la interfaz java.lang.Comparable

int abstracto

compareTo ( TensorDebugMode arg0)

Valores de enumeración

TensorDebugMode final estático público CONCISE_HEALTH

 A concise health summary for float-type tensors.
 Contains more information that CURT_HEALTH.
 Infinity and NaN are treated differently.
 Applicable only to float and integer dtypes.

CONCISE_HEALTH = 3;

TensorDebugMode final estático público CURT_HEALTH

 A minimalist health summary for float-type tensors.
 Contains information only about the presence/absence of pathological
 values including Infinity and NaN.
 Applicable only to float dtypes.

CURT_HEALTH = 2;

TensorDebugMode final estático público FULL_HEALTH

 A detailed health summary.
 Contains further detailed information than `CONCISE_HEALTH`.
 Information about device, dtype and shape are included.
 Counts for various types of values (Infinity, NaN, negative, zero,
 positive) are included.
 Applicable to float, integer and boolean dtypes.

FULL_HEALTH = 4;

TensorDebugMode final estático público FULL_NUMERICS

 Full numeric summary.
 Including device, dtype, shape, counts of various types of values
 (Infinity, NaN, negative, zero, positive), and summary statistics
 (minimum, maximum, mean and variance).
 Applicable to float, integer and boolean dtypes.

FULL_NUMERICS = 6;

TensorDebugMode final estático público FULL_TENSOR

 Full tensor value.

FULL_TENSOR = 7;

TensorDebugMode final estático público NO_TENSOR

 Only records what tensors are computed, eagerly or in graphs.
 No information regarding the value of the tensor is available.

NO_TENSOR = 1;

TensorDebugMode final estático público REDUCE_INF_NAN_THREE_SLOTS

 Reduce the elements of a tensor to a rank-1 tensor of shape [3], in which
 - the 1st element is -inf if any element of the tensor is -inf,
   or zero otherwise.
 - the 2nd element is +inf if any element of the tensor is +inf,
   or zero otherwise.
 - the 3rd element is nan if any element of the tensor is nan, or zero
   otherwise.

REDUCE_INF_NAN_THREE_SLOTS = 8;

TensorDebugMode final estático público SHAPE

 Provides full runtime shape information, up to a maximum rank, beyond
 which the dimension sizes are truncated.

SHAPE = 5;

TensorDebugMode final estático público NO RECONOCIDO

TensorDebugMode final estático público UNSPECIFIED

UNSPECIFIED = 0;

Constantes

public static final int CONCISE_HEALTH_VALUE

 A concise health summary for float-type tensors.
 Contains more information that CURT_HEALTH.
 Infinity and NaN are treated differently.
 Applicable only to float and integer dtypes.

CONCISE_HEALTH = 3;

Valor constante: 3

public static final int CURT_HEALTH_VALUE

 A minimalist health summary for float-type tensors.
 Contains information only about the presence/absence of pathological
 values including Infinity and NaN.
 Applicable only to float dtypes.

CURT_HEALTH = 2;

Valor constante: 2

public static final int FULL_HEALTH_VALUE

 A detailed health summary.
 Contains further detailed information than `CONCISE_HEALTH`.
 Information about device, dtype and shape are included.
 Counts for various types of values (Infinity, NaN, negative, zero,
 positive) are included.
 Applicable to float, integer and boolean dtypes.

FULL_HEALTH = 4;

Valor constante: 4

public static final int FULL_NUMERICS_VALUE

 Full numeric summary.
 Including device, dtype, shape, counts of various types of values
 (Infinity, NaN, negative, zero, positive), and summary statistics
 (minimum, maximum, mean and variance).
 Applicable to float, integer and boolean dtypes.

FULL_NUMERICS = 6;

Valor constante: 6

public static final int FULL_TENSOR_VALUE

 Full tensor value.

FULL_TENSOR = 7;

Valor constante: 7

public static final int NO_TENSOR_VALUE

 Only records what tensors are computed, eagerly or in graphs.
 No information regarding the value of the tensor is available.

NO_TENSOR = 1;

Valor constante: 1

público estático final int REDUCE_INF_NAN_THREE_SLOTS_VALUE

 Reduce the elements of a tensor to a rank-1 tensor of shape [3], in which
 - the 1st element is -inf if any element of the tensor is -inf,
   or zero otherwise.
 - the 2nd element is +inf if any element of the tensor is +inf,
   or zero otherwise.
 - the 3rd element is nan if any element of the tensor is nan, or zero
   otherwise.

REDUCE_INF_NAN_THREE_SLOTS = 8;

Valor constante: 8

public static final int SHAPE_VALUE

 Provides full runtime shape information, up to a maximum rank, beyond
 which the dimension sizes are truncated.

SHAPE = 5;

Valor constante: 5

public static final int UNSPECIFIED_VALUE

UNSPECIFIED = 0;

Valor constante: 0