TensorDebugMode

public final enum 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

Constants

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;`

Inherited Methods

From class java.lang.Enum

final int	compareTo(TensorDebugMode arg0)
int	compareTo(Object arg0)
final boolean	equals(Object arg0)
final Class<TensorDebugMode>	getDeclaringClass()
final int	hashCode()
final String	name()
final int	ordinal()
String	toString()
static <T extends Enum<T>> T	valueOf(Class<T> arg0, String arg1)

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface java.lang.Comparable

abstract int

compareTo(TensorDebugMode arg0)

Enum Values

public static 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;

public static 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;

public static 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;

public static 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;

public static final TensorDebugMode FULL_TENSOR

 Full tensor value.

FULL_TENSOR = 7;

public static 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;

public static final 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 UNRECOGNIZED

public static final TensorDebugMode UNSPECIFIED

UNSPECIFIED = 0;

Constants

public static 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;

Constant Value: 3

public static 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;

Constant Value: 2

public static 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;

Constant Value: 4

public static 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;

Constant Value: 6

public static final int FULL_TENSOR_VALUE

 Full tensor value.

FULL_TENSOR = 7;

Constant Value: 7

public static 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;

Constant Value: 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;

Constant Value: 8

public static final int SHAPE_VALUE

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

SHAPE = 5;

Constant Value: 5

public static final int UNSPECIFIED_VALUE

UNSPECIFIED = 0;

Constant Value: 0