tf.summary.SummaryWriter

Stops and exports the active trace as a Summary and/or profile file.

tf.summary.trace_export(
    name, step=None, profiler_outdir=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
Introduction to modules, layers, and models	Examining the TensorFlow Graph

Stops the trace and exports all metadata collected during the trace to the default SummaryWriter, if one has been set.

Args
`name`	A name for the summary to be written.
`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.
`profiler_outdir`	Output directory for profiler. This is only used when the profiler was enabled when the trace was started. In that case, if there is a logdir-based default SummaryWriter, this defaults to the same directory, but otherwise the argument must be passed.

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

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 / SummaryWriter

Used in the notebooks

Args

Raises