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.