tf.summary.create_file_writer

Creates a summary file writer for the given log directory.

tf.summary.create_file_writer(
    logdir,
    max_queue=None,
    flush_millis=None,
    filename_suffix=None,
    name=None,
    experimental_trackable=False,
    experimental_mesh=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
Introduction to modules, layers, and models	pix2pix: Image-to-image translation with a conditional GAN Migrating tf.summary usage to TF 2.x Displaying image data in TensorBoard TensorBoard Scalars: Logging training metrics in Keras Displaying text data in TensorBoard

Args
`logdir`	a string specifying the directory in which to write an event file.
`max_queue`	the largest number of summaries to keep in a queue; will flush once the queue gets bigger than this. Defaults to 10.
`flush_millis`	the largest interval between flushes. Defaults to 120,000.
`filename_suffix`	optional suffix for the event file name. Defaults to `.v2`.
`name`	a name for the op that creates the writer.
`experimental_trackable`	a boolean that controls whether the returned writer will be a `TrackableResource`, which makes it compatible with SavedModel when used as a `tf.Module` property.
`experimental_mesh`	a `tf.experimental.dtensor.Mesh` instance. When running with DTensor, the mesh (experimental_mesh.host_mesh()) will be used for bringing all the DTensor logging from accelerator to CPU mesh.

Returns
A SummaryWriter object.

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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/summary/create_file_writer