tf.summary.experimental.set

Writes a summary using raw tf.compat.v1.Summary protocol buffers.

tf.summary.experimental.write_raw_pb(
    tensor, step=None, name=None
)

Experimental: this exists to support the usage of V1-style manual summary writing (via the construction of a tf.compat.v1.Summary protocol buffer) with the V2 summary writing API.

Args
`tensor`	the string Tensor holding one or more serialized `Summary` protobufs
`step`	Explicit `int64`-castable monotonic step value for this summary. If omitted, this defaults to `tf.summary.experimental.get_step()`, which must not be None.
`name`	Optional string name for this op.

Returns
True on success, or false if no summary was written because no default summary writer was available.

Raises
`ValueError`	if a default writer exists, but no step was provided and `tf.summary.experimental.get_step()` is None.

TensorFlow

tf.summary / experimental / experimental.set_step

Args

Returns

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.summary / experimental / experimental.set_step

Args

Returns

Raises