TensorDebugMode

공개 최종 열거형 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 열거형 tensorflow.TensorDebugMode

상수

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

상속된 메서드

클래스 java.lang.Enum에서

최종 정수	CompareTo ( TensorDebugMode arg0)
정수	CompareTo (객체 arg0)
최종 부울	같음 (개체 arg0)
최종 클래스< TensorDebugMode >	getDeclaringClass ()
최종 정수	해시코드 ()
최종 문자열	이름 ()
최종 정수	서수 ()
끈	toString ()
static <T는 Enum<T>> T를 확장합니다.	valueOf (클래스<T> arg0, 문자열 arg1)

java.lang.Object 클래스에서

부울	같음 (개체 arg0)
마지막 수업<?>	getClass ()
정수	해시코드 ()
최종 무효	알림 ()
최종 무효	통지모두 ()
끈	toString ()
최종 무효	대기 (long arg0, int arg1)
최종 무효	기다리세요 (긴 arg0)
최종 무효	기다리다 ()

인터페이스 java.lang.Comparable에서

추상 정수

CompareTo ( TensorDebugMode arg0)

열거형 값

공개 정적 최종 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;

공개 정적 최종 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;

공개 정적 최종 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;

공개 정적 최종 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;

공개 정적 최종 TensorDebugMode FULL_TENSOR

 Full tensor value.
 

FULL_TENSOR = 7;

공개 정적 최종 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;

공개 정적 최종 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;

공개 정적 최종 TensorDebugMode 모양

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

SHAPE = 5;

공개 정적 최종 TensorDebugMode 인식되지 않음

공개 정적 최종 TensorDebugMode 지정되지 않음

UNSPECIFIED = 0;

상수

공개 정적 최종 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;

상수값: 3

공개 정적 최종 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;

상수값: 2

공개 정적 최종 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;

상수값: 4

공개 정적 최종 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;

상수값: 6

공개 정적 최종 int FULL_TENSOR_VALUE

 Full tensor value.
 

FULL_TENSOR = 7;

상수값: 7

공개 정적 최종 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;

상수값: 1

공개 정적 최종 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;

상수값: 8

공개 정적 최종 int SHAPE_VALUE

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

SHAPE = 5;

상수값: 5

공개 정적 최종 int UNSPECIFIED_VALUE

UNSPECIFIED = 0;

상수값: 0