tf.compat.v1.summary.histogram

Initializes summary writing for graph execution mode.

tf.compat.v1.summary.initialize(
    graph=None, session=None
)

This operation is a no-op when executing eagerly.

This helper method provides a higher-level alternative to using tf.contrib.summary.summary_writer_initializer_op and tf.contrib.summary.graph.

Most users will also want to call tf.compat.v1.train.create_global_step which can happen before or after this function is called.

Args
`graph`	A `tf.Graph` or `tf.compat.v1.GraphDef` to output to the writer. This function will not write the default graph by default. When writing to an event log file, the associated step will be zero.
`session`	So this method can call `tf.Session.run`. This defaults to `tf.compat.v1.get_default_session`.

Raises
`RuntimeError`	If the current thread has no default `tf.contrib.summary.SummaryWriter`.
`ValueError`	If session wasn't passed and no default session.

TensorFlow

tf.compat / v1 / v1.summary.histogram

Args

Raises

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.compat / v1 / v1.summary.histogram

Args

Raises