Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
DebugNumericSummaryV2.Options
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Inherited Methods
From class
java.lang.Object
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boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
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wait(long arg0, int arg1)
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final
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wait(long arg0)
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final
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wait()
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Public Methods
Parameters
| tensorDebugMode |
Tensor debug mode: the mode in which the input tensor is summarized
by the op. See the TensorDebugMode enum in
tensorflow/core/protobuf/debug_event.proto for details.
Supported values:
2 (CURT_HEALTH): Output a float32/64 tensor of shape [2]. The 1st
element is the tensor_id, if provided, and -1 otherwise. The 2nd
element is a bit which is set to 1 if the input tensor has an
infinity or nan value, or zero otherwise.
3 (CONCISE_HEALTH): Output a float32/64 tensor of shape [5]. The 1st
element is the tensor_id, if provided, and -1 otherwise. The
remaining four slots are the total number of elements, -infs,
+infs, and nans in the input tensor respectively.
4 (FULL_HEALTH): Output a float32/64 tensor of shape [11]. The 1st
element is the tensor_id, if provided, and -1 otherwise. The 2nd
element is the device_id, if provided, and -1 otherwise. The 3rd
element holds the datatype value of the input tensor as according
to the enumerated type in tensorflow/core/framework/types.proto.
The remaining elements hold the total number of elements, -infs,
+infs, nans, negative finite numbers, zeros, and positive finite
numbers in the input tensor respectively.
5 (SHAPE): Output a float32/64 tensor of shape [10]. The 1st
element is the tensor_id, if provided, and -1 otherwise. The 2nd
element holds the datatype value of the input tensor as according
to the enumerated type in tensorflow/core/framework/types.proto.
The 3rd element holds the rank of the tensor. The 4th element holds
the number of elements within the tensor. Finally the remaining 6
elements hold the shape of the tensor. If the rank of the tensor
is lower than 6, the shape is right padded with zeros. If the rank
is greater than 6, the head of the shape is truncated.
6 (FULL_NUMERICS): Output a float32/64 tensor of shape [22]. The 1st
element is the tensor_id, if provided, and -1 otherwise. The 2nd
element is the device_id, if provided, and -1 otherwise. The 3rd
element holds the datatype value of the input tensor as according
to the enumerated type in tensorflow/core/framework/types.proto.
The 4th element holds the rank of the tensor. The 5th to 11th
elements hold the shape of the tensor. If the rank of the tensor
is lower than 6, the shape is right padded with zeros. If the rank
is greater than 6, the head of the shape is truncated. The 12th to
18th elements hold the number of elements, -infs, +infs, nans,
denormal floats, negative finite numbers, zeros, and positive
finite numbers in the input tensor respectively. The final four
elements hold the min value, max value, mean, and variance of the
input tensor.
8 (REDUCE_INF_NAN_THREE_SLOTS): Output a float32/64 tensor of shape
[3]. The 1st element is -inf if any elements of the input tensor
is -inf, or zero otherwise. The 2nd element is +inf if any elements
of the input tensor is +inf, or zero otherwise. The 3rd element is
nan if any element of the input tensor is nan, or zero otherwise.
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Parameters
| tensorId |
Optional. An integer identifier for the tensor being summarized by this op.
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Last updated 2022-02-12 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-02-12 UTC."],[],[],null,["# DebugNumericSummaryV2.Options\n\npublic static class **DebugNumericSummaryV2.Options** \nOptional attributes for [DebugNumericSummaryV2](/api_docs/java/org/tensorflow/op/core/DebugNumericSummaryV2) \n\n### Public Methods\n\n|------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------|\n| [DebugNumericSummaryV2.Options](/api_docs/java/org/tensorflow/op/core/DebugNumericSummaryV2.Options) | [tensorDebugMode](/api_docs/java/org/tensorflow/op/core/DebugNumericSummaryV2.Options#tensorDebugMode(java.lang.Long))(Long tensorDebugMode) |\n| [DebugNumericSummaryV2.Options](/api_docs/java/org/tensorflow/op/core/DebugNumericSummaryV2.Options) | [tensorId](/api_docs/java/org/tensorflow/op/core/DebugNumericSummaryV2.Options#tensorId(java.lang.Long))(Long tensorId) |\n\n### Inherited Methods\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nPublic Methods\n--------------\n\n#### public [DebugNumericSummaryV2.Options](/api_docs/java/org/tensorflow/op/core/DebugNumericSummaryV2.Options)\n**tensorDebugMode**\n(Long tensorDebugMode)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| tensorDebugMode | Tensor debug mode: the mode in which the input tensor is summarized by the op. See the TensorDebugMode enum in tensorflow/core/protobuf/debug_event.proto for details. Supported values: 2 (CURT_HEALTH): Output a float32/64 tensor of shape \\[2\\]. The 1st element is the tensor_id, if provided, and -1 otherwise. The 2nd element is a bit which is set to 1 if the input tensor has an infinity or nan value, or zero otherwise. 3 (CONCISE_HEALTH): Output a float32/64 tensor of shape \\[5\\]. The 1st element is the tensor_id, if provided, and -1 otherwise. The remaining four slots are the total number of elements, -infs, +infs, and nans in the input tensor respectively. 4 (FULL_HEALTH): Output a float32/64 tensor of shape \\[11\\]. The 1st element is the tensor_id, if provided, and -1 otherwise. The 2nd element is the device_id, if provided, and -1 otherwise. The 3rd element holds the datatype value of the input tensor as according to the enumerated type in tensorflow/core/framework/types.proto. The remaining elements hold the total number of elements, -infs, +infs, nans, negative finite numbers, zeros, and positive finite numbers in the input tensor respectively. 5 (SHAPE): Output a float32/64 tensor of shape \\[10\\]. The 1st element is the tensor_id, if provided, and -1 otherwise. The 2nd element holds the datatype value of the input tensor as according to the enumerated type in tensorflow/core/framework/types.proto. The 3rd element holds the rank of the tensor. The 4th element holds the number of elements within the tensor. Finally the remaining 6 elements hold the shape of the tensor. If the rank of the tensor is lower than 6, the shape is right padded with zeros. If the rank is greater than 6, the head of the shape is truncated. 6 (FULL_NUMERICS): Output a float32/64 tensor of shape \\[22\\]. The 1st element is the tensor_id, if provided, and -1 otherwise. The 2nd element is the device_id, if provided, and -1 otherwise. The 3rd element holds the datatype value of the input tensor as according to the enumerated type in tensorflow/core/framework/types.proto. The 4th element holds the rank of the tensor. The 5th to 11th elements hold the shape of the tensor. If the rank of the tensor is lower than 6, the shape is right padded with zeros. If the rank is greater than 6, the head of the shape is truncated. The 12th to 18th elements hold the number of elements, -infs, +infs, nans, denormal floats, negative finite numbers, zeros, and positive finite numbers in the input tensor respectively. The final four elements hold the min value, max value, mean, and variance of the input tensor. 8 (REDUCE_INF_NAN_THREE_SLOTS): Output a float32/64 tensor of shape \\[3\\]. The 1st element is -inf if any elements of the input tensor is -inf, or zero otherwise. The 2nd element is +inf if any elements of the input tensor is +inf, or zero otherwise. The 3rd element is nan if any element of the input tensor is nan, or zero otherwise. \u003cbr /\u003e \u003cbr /\u003e \u003cbr /\u003e \u003cbr /\u003e \u003cbr /\u003e |\n|-----------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [DebugNumericSummaryV2.Options](/api_docs/java/org/tensorflow/op/core/DebugNumericSummaryV2.Options)\n**tensorId**\n(Long tensorId)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| tensorId | Optional. An integer identifier for the tensor being summarized by this op. |\n|----------|-----------------------------------------------------------------------------|"]]
