TensorDebugMode

Enum סופי ציבורי 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

קבועים

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;

שיטות בירושה

ערכים מנויים

סופי סטטי ציבורי 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;

סופי סטטי ציבורי 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;

סופי סטטי ציבורי 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;

סופי סטטי ציבורי 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;

סופי סטטי ציבורי TensorDebugMode FULL_TENSOR

 Full tensor value.
FULL_TENSOR = 7;

סופי סטטי ציבורי 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;

סופי סטטי ציבורי 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;

סופי סטטי ציבורי TensorDebugMode SHAPE

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

סופי סטטי ציבורי TensorDebugMode UNCOGNIZED

סופי סטטי ציבורי TensorDebugMode לא מוגדר

UNSPECIFIED = 0;

קבועים

סופי סטטי ציבורי 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;

ערך קבוע: 3

ציבורי סטטי סופית אינט 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;

ערך קבוע: 2

סופי סטטי ציבורי 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;

ערך קבוע: 4

אינט סופי סטטי ציבורי 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;

ערך קבוע: 6

int סופי סטטי ציבורי FULL_TENSOR_VALUE

 Full tensor value.
FULL_TENSOR = 7;

ערך קבוע: 7

ציבורי סטטי סופי 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;

ערך קבוע: 1

אינט סופי סטטי ציבורי 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;

ערך קבוע: 8

ציבורי סטטי סופי int SHAPE_VALUE

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

ערך קבוע: 5

אינט סופי סטטי ציבורי UNSPECIFIED_VALUE

UNSPECIFIED = 0;

ערך קבוע: 0