tf.contrib.summary.scalar
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Writes a scalar summary if possible.
tf.contrib.summary.scalar(
name, tensor, family=None, step=None
)
Unlike tf.contrib.summary.generic
this op may change the dtype
depending on the writer, for both practical and efficiency concerns.
Args |
name
|
An arbitrary name for this summary.
|
tensor
|
A tf.Tensor Must be one of the following types:
float32 , float64 , int32 , int64 , uint8 , int16 ,
int8 , uint16 , half , uint32 , uint64 .
|
family
|
Optional, the summary's family.
|
step
|
The int64 monotonic step variable, which defaults
to tf.compat.v1.train.get_global_step .
|
Returns |
The created tf.Operation or a tf.no_op if summary writing has
not been enabled for this context.
|
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Last updated 2020-10-01 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]