TensorDebugMode

सार्वजनिक अंतिम एनम 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.
प्रोटोबफ एनम tensorflow.TensorDebugMode

स्थिरांक

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

विरासत में मिली विधियाँ

एनम मान

सार्वजनिक स्थैतिक अंतिम 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;

सार्वजनिक स्थैतिक अंतिम 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;

सार्वजनिक स्थैतिक अंतिम 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;

सार्वजनिक स्थैतिक अंतिम 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;

सार्वजनिक स्थैतिक अंतिम TensorDebugMode FULL_TENSOR

 Full tensor value.
FULL_TENSOR = 7;

सार्वजनिक स्थैतिक अंतिम 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;

सार्वजनिक स्थैतिक अंतिम 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;

सार्वजनिक स्थैतिक अंतिम TensorDebugMode आकार

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

सार्वजनिक स्थैतिक अंतिम TensorDebugMode अपरिचित

सार्वजनिक स्थैतिक अंतिम TensorDebugMode अनिर्दिष्ट

UNSPECIFIED = 0;

स्थिरांक

सार्वजनिक स्थैतिक अंतिम पूर्णांक 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;

स्थिर मान: 3

सार्वजनिक स्थैतिक अंतिम 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;

स्थिर मान: 2

सार्वजनिक स्थैतिक अंतिम पूर्णांक 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;

स्थिर मान: 4

सार्वजनिक स्थैतिक अंतिम पूर्णांक 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;

स्थिर मान: 6

सार्वजनिक स्थैतिक अंतिम पूर्णांक FULL_TENSOR_VALUE

 Full tensor value.
FULL_TENSOR = 7;

स्थिर मान: 7

सार्वजनिक स्थैतिक अंतिम पूर्णांक 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;

स्थिर मान: 1

सार्वजनिक स्थैतिक अंतिम पूर्णांक 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;

स्थिर मान: 8

सार्वजनिक स्थैतिक अंतिम पूर्णांक SHAPE_VALUE

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

स्थिर मान: 5

सार्वजनिक स्थैतिक अंतिम पूर्णांक UNSPECIFIED_VALUE

UNSPECIFIED = 0;

स्थिर मान: 0