TensorDebugMode

enum final público 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

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

Métodos herdados

Da classe java.lang.Enum

int final	compareTo ( TensorDebugMode arg0)
interno	compareTo (objeto arg0)
booleano final	é igual (objeto arg0)
Classe final< TensorDebugMode >	getDeclaringClass ()
int final	código hash ()
sequência final	nome ()
int final	ordinal ()
Corda	toString ()
estático <T estende Enum<T>> T	valorOf (Classe<T> arg0, String arg1)

Da classe java.lang.Object

booleano	é igual (objeto arg0)
aula final<?>	getClass ()
interno	código hash ()
vazio final	notificar ()
vazio final	notificar todos ()
Corda	toString ()
vazio final	espere (long arg0, int arg1)
vazio final	espere (arg0 longo)
vazio final	espere ()

Da interface java.lang.Comparable

abstrato int

compareTo ( TensorDebugMode arg0)

Valores de Enum

final estático público 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;

final estático público 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 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;

público estático final TensorDebugMode 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;

final estático público TensorDebugMode 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;

público estático final TensorDebugMode SHAPE

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

SHAPE = 5;

público estático final TensorDebugMode UNRECOGNIZED

público estático final TensorDebugMode NÃO ESPECIFICADO

UNSPECIFIED = 0;

Constantes

público estático 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

público estático 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

público estático 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

público estático 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

público estático final int FULL_TENSOR_VALUE

 Full tensor value.
 

FULL_TENSOR = 7;

Valor Constante: 7

público estático 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

int final estático público 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

público estático 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

público estático final int UNSPECIFIED_VALUE

UNSPECIFIED = 0;

Valor Constante: 0