tf.compat.v1.summary.FileWriter
Writes Summary
protocol buffers to event files.
tf.compat.v1.summary.FileWriter( logdir, graph=None, max_queue=10, flush_secs=120, graph_def=None, filename_suffix=None, session=None )
The FileWriter
class provides a mechanism to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training.
When constructed with a tf.compat.v1.Session
parameter, a FileWriter
instead forms a compatibility layer over new graph-based summaries to facilitate the use of new summary writing with pre-existing code that expects a FileWriter
instance.
This class is not thread-safe.
Args | |
---|---|
logdir | A string. Directory where event file will be written. |
graph | A Graph object, such as sess.graph . |
max_queue | Integer. Size of the queue for pending events and summaries. |
flush_secs | Number. How often, in seconds, to flush the pending events and summaries to disk. |
graph_def | DEPRECATED: Use the graph argument instead. |
filename_suffix | A string. Every event file's name is suffixed with suffix . |
session | A tf.compat.v1.Session object. See details above. |
Raises | |
---|---|
RuntimeError | If called with eager execution enabled. |
Methods
add_event
add_event( event )
Adds an event to the event file.
Args | |
---|---|
event | An Event protocol buffer. |
add_graph
add_graph( graph, global_step=None, graph_def=None )
Adds a Graph
to the event file.
The graph described by the protocol buffer will be displayed by TensorBoard. Most users pass a graph in the constructor instead.
Args | |
---|---|
graph | A Graph object, such as sess.graph . |
global_step | Number. Optional global step counter to record with the graph. |
graph_def | DEPRECATED. Use the graph parameter instead. |
Raises | |
---|---|
ValueError | If both graph and graph_def are passed to the method. |
add_meta_graph
add_meta_graph( meta_graph_def, global_step=None )
Adds a MetaGraphDef
to the event file.
The MetaGraphDef
allows running the given graph via saver.import_meta_graph()
.
Args | |
---|---|
meta_graph_def | A MetaGraphDef object, often as returned by saver.export_meta_graph() . |
global_step | Number. Optional global step counter to record with the graph. |
Raises | |
---|---|
TypeError | If both meta_graph_def is not an instance of MetaGraphDef . |
add_run_metadata
add_run_metadata( run_metadata, tag, global_step=None )
Adds a metadata information for a single session.run() call.
Args | |
---|---|
run_metadata | A RunMetadata protobuf object. |
tag | The tag name for this metadata. |
global_step | Number. Optional global step counter to record with the StepStats. |
Raises | |
---|---|
ValueError | If the provided tag was already used for this type of event. |
add_session_log
add_session_log( session_log, global_step=None )
Adds a SessionLog
protocol buffer to the event file.
This method wraps the provided session in an Event
protocol buffer and adds it to the event file.
Args | |
---|---|
session_log | A SessionLog protocol buffer. |
global_step | Number. Optional global step value to record with the summary. |
add_summary
add_summary( summary, global_step=None )
Adds a Summary
protocol buffer to the event file.
This method wraps the provided summary in an Event
protocol buffer and adds it to the event file.
You can pass the result of evaluating any summary op, using tf.Session.run
or tf.Tensor.eval
, to this function. Alternatively, you can pass a tf.compat.v1.Summary
protocol buffer that you populate with your own data. The latter is commonly done to report evaluation results in event files.
Args | |
---|---|
summary | A Summary protocol buffer, optionally serialized as a string. |
global_step | Number. Optional global step value to record with the summary. |
close
close()
Flushes the event file to disk and close the file.
Call this method when you do not need the summary writer anymore.
flush
flush()
Flushes the event file to disk.
Call this method to make sure that all pending events have been written to disk.
get_logdir
get_logdir()
Returns the directory where event file will be written.
reopen
reopen()
Reopens the EventFileWriter.
Can be called after close()
to add more events in the same directory. The events will go into a new events file.
Does nothing if the EventFileWriter was not closed.
__enter__
__enter__()
Make usable with "with" statement.
__exit__
__exit__( unused_type, unused_value, unused_traceback )
Make usable with "with" statement.
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/compat/v1/summary/FileWriter