tf.summary.trace

Writes a generic summary to the default SummaryWriter if one exists.

tf.summary.write(
    tag, tensor, step=None, metadata=None, name=None
)

This exists primarily to support the definition of type-specific summary ops like scalar() and image(), and is not intended for direct use unless defining a new type-specific summary op.

Args
`tag`	string tag used to identify the summary (e.g. in TensorBoard), usually generated with `tf.summary.summary_scope`
`tensor`	the Tensor holding the summary data to write or a callable that returns this Tensor. If a callable is passed, it will only be called when a default SummaryWriter exists and the recording condition specified by `record_if()` is met.
`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.
`metadata`	Optional SummaryMetadata, as a proto or serialized bytes
`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 / trace_off

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 / trace_off

Args

Returns

Raises