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TensorDebugMode

genel final numaralandırma 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

Sabitler

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;`

Kalıtsal Yöntemler

Java.lang.Enum sınıfından

son int	CompareTo ( TensorDebugMode arg0)
int	karşılaştırma (Nesne arg0)
son boole değeri	eşittir (Nesne arg0)
son Sınıf< TensorDebugMode >	getDeclaringClass ()
son int	hashKodu ()
son Dize	isim ()
son int	sıralı ()
Sicim	toString ()
static <T, Enum<T>> T'yi genişletir	valueOf (Class<T> arg0, String arg1)

Java.lang.Object sınıfından

boolean	eşittir (Nesne arg0)
son Sınıf<?>	getClass ()
int	hashKodu ()
son boşluk	bildir ()
son boşluk	tümünü bildir ()
Sicim	toString ()
son boşluk	bekle (uzun arg0, int arg1)
son boşluk	bekle (uzun arg0)
son boşluk	Beklemek ()

Java.lang.Comparable arayüzünden

soyut int

CompareTo ( TensorDebugMode arg0)

Numaralandırma Değerleri

genel statik 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;

genel statik 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;

genel statik final TensorDebugMode 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;

genel statik 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;

genel statik final TensorDebugMode FULL_TENSOR

 Full tensor value.

FULL_TENSOR = 7;

genel statik final TensorDebugMode 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;

genel statik son 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;

genel statik final TensorDebugMode SHAPE

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

SHAPE = 5;

genel statik final TensorDebugMode TANIMIYOR

genel statik final TensorDebugMode BELİRTİLMEMİŞ

UNSPECIFIED = 0;

Sabitler

genel statik 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;

Sabit Değer: 3

genel statik 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;

Sabit Değer: 2

genel statik 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;

Sabit Değer: 4

genel statik 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;

Sabit Değer: 6

genel statik final int FULL_TENSOR_VALUE

 Full tensor value.

FULL_TENSOR = 7;

Sabit Değer: 7

genel statik 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;

Sabit Değer: 1

genel statik 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;

Sabit Değer: 8

genel statik final int SHAPE_VALUE

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

SHAPE = 5;

Sabit Değer: 5

genel statik final int UNSPECIFIED_VALUE

UNSPECIFIED = 0;

Sabit Değer: 0