TensorDebugMode

public 最終列挙型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

定数

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

継承されたメソッド

列挙値

パブリック静的最終 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;

パブリック静的最終 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;

パブリック静的最終 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;

パブリック静的最終 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;

パブリック静的最終 TensorDebugMode FULL_TENSOR

 Full tensor value.
FULL_TENSOR = 7;

パブリック静的最終 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;

パブリック静的最終 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認識されません

public static Final TensorDebugMode未指定

UNSPECIFIED = 0;

定数

パブリック静的最終整数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;

定数値: 3

パブリック静的最終整数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;

定数値: 2

パブリック静的最終整数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;

定数値: 4

パブリック静的最終整数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;

定数値: 6

パブリック静的最終整数FULL_TENSOR_VALUE

 Full tensor value.
FULL_TENSOR = 7;

定数値: 7

パブリック静的最終整数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;

定数値: 1

public static 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;

定数値: 8

パブリック静的最終整数SHAPE_VALUE

 Provides full runtime shape information, up to a maximum rank, beyond
 which the dimension sizes are truncated.
SHAPE = 5;

定数値: 5

パブリック静的最終整数UNSPECIFIED_VALUE

UNSPECIFIED = 0;

定数値: 0