tf.compat.v1.summary.text

Summarizes textual data.

tf.compat.v1.summary.text(
    name, tensor, collections=None
)

Migrate to TF2

Caution: This API was designed for TensorFlow v1. Continue reading for details on how to migrate from this API to a native TensorFlow v2 equivalent. See the TensorFlow v1 to TensorFlow v2 migration guide for instructions on how to migrate the rest of your code.

This API is not compatible with eager execution or tf.function. To migrate to TF2, please use tf.summary.text instead. Please check Migrating tf.summary usage to TF 2.0 for concrete steps for migration.

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	-
-	description	Optional long-form str description for the summary. Markdown is supported. Defaults to empty.

Description

Text data summarized via this plugin will be visible in the Text Dashboard in TensorBoard. The standard TensorBoard Text Dashboard will render markdown in the strings, and will automatically organize 1d and 2d tensors into tables. If a tensor with more than 2 dimensions is provided, a 2d subarray will be displayed along with a warning message. (Note that this behavior is not intrinsic to the text summary api, but rather to the default TensorBoard text plugin.)

Args
name	A name for the generated node. Will also serve as a series name in TensorBoard.
tensor	a string-type Tensor to summarize.
collections	Optional list of ops.GraphKeys. The collections to add the summary to. Defaults to [_ops.GraphKeys.SUMMARIES]

Returns
A TensorSummary op that is configured so that TensorBoard will recognize that it contains textual data. The TensorSummary is a scalar Tensor of type string which contains Summary protobufs.

Raises
ValueError	If tensor has the wrong type.