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
)
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.
|