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TensorDebugMode

énumération finale publique 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 enum tensorflow.TensorDebugMode

Constantes

int	CONCISE_HEALTH_VALUE	A concise health summary for float-type tensors.
int	CURT_HEALTH_VALUE	A minimalist health summary for float-type tensors.
int	FULL_HEALTH_VALUE	A detailed health summary.
int	FULL_NUMERICS_VALUE	Full numeric summary.
int	FULL_TENSOR_VALUE	Full tensor value.
int	NO_TENSOR_VALUE	Only records what tensors are computed, eagerly or in graphs.
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.
int	SHAPE_VALUE	Provides full runtime shape information, up to a maximum rank, beyond which the dimension sizes are truncated.
int	UNSPECIFIED_VALUE	`UNSPECIFIED = 0;`

Méthodes héritées

De la classe java.lang.Enum

entier final	comparerTo ( TensorDebugMode arg0)
int	comparerTo (Objet arg0)
booléen final	est égal à (Objet arg0)
Classe finale < TensorDebugMode >	getDeclaringClass ()
entier final	Code de hachage ()
Chaîne finale	nom ()
entier final	ordinal ()
Chaîne	àChaîne ()
statique <T étend Enum<T>> T	valueOf (Class<T> arg0, Chaîne arg1)

De la classe java.lang.Object

booléen	est égal à (Objet arg0)
Classe finale<?>	obtenirClasse ()
int	Code de hachage ()
vide final	notifier ()
vide final	notifierTous ()
Chaîne	àChaîne ()
vide final	attendre (long arg0, int arg1)
vide final	attendez (long arg0)
vide final	attendez ()

Depuis l'interface java.lang.Comparable

abstrait entier

comparerTo ( TensorDebugMode arg0)

Valeurs d'énumération

public statique final TensorDebugMode 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;

public statique final TensorDebugMode 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 statique public 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 statique public 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 statique public FULL_TENSOR

 Full tensor value.

FULL_TENSOR = 7;

TensorDebugMode final statique public 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;

public statique final TensorDebugMode 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;

public static final TensorDebugMode SHAPE

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

SHAPE = 5;

public static final TensorDebugMode NON RECONNU

public static final TensorDebugMode NON SPÉCIFIÉ

UNSPECIFIED = 0;

Constantes

public statique 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;

Valeur constante : 3

public statique 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;

Valeur constante : 2

public statique 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;

Valeur constante : 4

public statique 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;

Valeur constante : 6

public statique final int FULL_TENSOR_VALUE

 Full tensor value.

FULL_TENSOR = 7;

Valeur constante : 7

public statique 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;

Valeur constante : 1

public statique 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;

Valeur constante : 8

public statique final int SHAPE_VALUE

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

SHAPE = 5;

Valeur constante : 5

public statique final int UNSPECIFIED_VALUE

UNSPECIFIED = 0;

Valeur constante : 0