TensorDebugMode

التعداد النهائي العام 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 التعداد tensorflow.TensorDebugMode

الثوابت

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

الطرق الموروثة

قيم التعداد

النهائي العام الثابت 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;

TensorDebugMode النهائي العام الثابت 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;

النهائي العام الثابت 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;

TensorDebugMode النهائي العام والثابت 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;

TensorDebugMode النهائي العام والثابت FULL_TENSOR

 Full tensor value.
FULL_TENSOR = 7;

TensorDebugMode النهائي العام الثابت 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;

TensorDebugMode النهائي العام الثابت 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;

TensorDebugMode SHAPE النهائي العام الثابت

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

لم يتم التعرف على TensorDebugMode النهائي العام الثابت

TensorDebugMode النهائي العام الثابت غير محدد

UNSPECIFIED = 0;

الثوابت

النهائي الثابت العام 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;

القيمة الثابتة: 3

int النهائي الثابت العام 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;

القيمة الثابتة: 2

int النهائي الثابت العام 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;

القيمة الثابتة: 4

العدد النهائي الثابت العام 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;

القيمة الثابتة: 6

int النهائي الثابت العام FULL_TENSOR_VALUE

 Full tensor value.
FULL_TENSOR = 7;

القيمة الثابتة: 7

int النهائي الثابت العام 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;

القيمة الثابتة: 1

int النهائي الثابت العام 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;

القيمة الثابتة: 8

النهائي الثابت العام SHAPE_VALUE

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

القيمة الثابتة: 5

int النهائي الثابت العام UNSPECIFIED_VALUE

UNSPECIFIED = 0;

القيمة الثابتة: 0