tf.summary.write
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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.

tf.summary.writeStay organized with collections Save and categorize content based on your preferences.

Args

Returns

Raises

tf.summary.write
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