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tf.compat.v1.summary.scalar

Outputs a Summary protocol buffer containing a single scalar value.

Migrate to TF2

This API is not compatible with eager execution or tf.function. To migrate to TF2, please use tf.summary.scalar instead. Please check Migrating tf.summary usage to TF 2.0 for concrete steps for migration. tf.summary.scalar can also log training metrics in Keras, you can check Logging training metrics in Keras for detials.

How to Map Arguments

TF1 Arg Name TF2 Arg Name Note
name name -
tensor data -
- step Explicit int64-castable monotonic step value. If omitted, this defaults to tf.summary.experimental.get_step().
collections Not Supported -
family Removed Please use tf.name_scope instead to manage summary name prefix.
- description Optional long-form str description for the summary. Markdown is supported. Defaults to empty.

Description

The generated Summary has a Tensor.proto containing the input Tensor.

name A name for the generated node. Will also serve as the series name in TensorBoard.
tensor A real numeric Tensor containing a single value.
collections Optional list of graph collections keys. The new summary op is added to these collections. Defaults to [GraphKeys.SUMMARIES].
family Optional; if provided, used as the prefix of the summary tag name, which controls the tab name used for display on Tensorboard.

A scalar Tensor of type string. Which contains a Summary protobuf.

ValueError If tensor has the wrong shape or type.