TensorDebugMode

публичное окончательное перечисление 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

Константы

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

Унаследованные методы

Перечисляемые значения

общедоступный статический окончательный 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;

общедоступный статический окончательный 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;

публичный статический финал 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;

общедоступный статический окончательный 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;

общедоступный статический окончательный TensorDebugMode FULL_TENSOR

 Full tensor value.
FULL_TENSOR = 7;

публичный статический финал 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;

общедоступный статический окончательный 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;

публичный статический финал 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 UNRECOGNIZED

public static Final TensorDebugMode UNSPECIFIED

UNSPECIFIED = 0;

Константы

общедоступный статический окончательный 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;

Постоянное значение: 3

общедоступный статический окончательный 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;

Постоянное значение: 2

общедоступный статический окончательный 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;

Постоянное значение: 4

общедоступный статический окончательный 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;

Постоянное значение: 6

общедоступный статический окончательный int FULL_TENSOR_VALUE

 Full tensor value.
FULL_TENSOR = 7;

Постоянное значение: 7

публичный статический финал 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;

Постоянное значение: 1

общедоступный статический окончательный 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;

Постоянное значение: 8

общедоступный статический окончательный int SHAPE_VALUE

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

Постоянное значение: 5

public static Final int UNSPECIFIED_VALUE

UNSPECIFIED = 0;

Постоянное значение: 0