diff options
Diffstat (limited to 'tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.train.SummaryWriter.md')
-rw-r--r-- | tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.train.SummaryWriter.md | 170 |
1 files changed, 170 insertions, 0 deletions
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.train.SummaryWriter.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.train.SummaryWriter.md new file mode 100644 index 0000000000..a7f5aef5f1 --- /dev/null +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.train.SummaryWriter.md @@ -0,0 +1,170 @@ +Writes `Summary` protocol buffers to event files. + +The `SummaryWriter` 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. + +- - - + +#### `tf.train.SummaryWriter.__init__(logdir, graph=None, max_queue=10, flush_secs=120, graph_def=None)` {#SummaryWriter.__init__} + +Creates a `SummaryWriter` and an event file. + +On construction the summary writer creates a new event file in `logdir`. +This event file will contain `Event` protocol buffers constructed when you +call one of the following functions: `add_summary()`, `add_session_log()`, +`add_event()`, or `add_graph()`. + +If you pass a `Graph` to the constructor it is added to +the event file. (This is equivalent to calling `add_graph()` later). + +TensorBoard will pick the graph from the file and display it graphically so +you can interactively explore the graph you built. You will usually pass +the graph from the session in which you launched it: + +```python +...create a graph... +# Launch the graph in a session. +sess = tf.Session() +# Create a summary writer, add the 'graph' to the event file. +writer = tf.train.SummaryWriter(<some-directory>, sess.graph) +``` + +The other arguments to the constructor control the asynchronous writes to +the event file: + +* `flush_secs`: How often, in seconds, to flush the added summaries + and events to disk. +* `max_queue`: Maximum number of summaries or events pending to be + written to disk before one of the 'add' calls block. + +##### Args: + + +* <b>`logdir`</b>: A string. Directory where event file will be written. +* <b>`graph`</b>: A `Graph` object, such as `sess.graph`. +* <b>`max_queue`</b>: Integer. Size of the queue for pending events and summaries. +* <b>`flush_secs`</b>: Number. How often, in seconds, to flush the + pending events and summaries to disk. +* <b>`graph_def`</b>: DEPRECATED: Use the `graph` argument instead. + + + +- - - + +#### `tf.train.SummaryWriter.add_summary(summary, global_step=None)` {#SummaryWriter.add_summary} + +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 +[`Session.run()`](client.md#Session.run) or +[`Tensor.eval()`](framework.md#Tensor.eval), to this +function. Alternatively, you can pass a `tf.Summary` protocol +buffer that you populate with your own data. The latter is +commonly done to report evaluation results in event files. + +##### Args: + + +* <b>`summary`</b>: A `Summary` protocol buffer, optionally serialized as a string. +* <b>`global_step`</b>: Number. Optional global step value to record with the + summary. + + +- - - + +#### `tf.train.SummaryWriter.add_session_log(session_log, global_step=None)` {#SummaryWriter.add_session_log} + +Adds a `SessionLog` protocol buffer to the event file. + +This method wraps the provided session in an `Event` procotol buffer +and adds it to the event file. + +##### Args: + + +* <b>`session_log`</b>: A `SessionLog` protocol buffer. +* <b>`global_step`</b>: Number. Optional global step value to record with the + summary. + + +- - - + +#### `tf.train.SummaryWriter.add_event(event)` {#SummaryWriter.add_event} + +Adds an event to the event file. + +##### Args: + + +* <b>`event`</b>: An `Event` protocol buffer. + + +- - - + +#### `tf.train.SummaryWriter.add_graph(graph, global_step=None, graph_def=None)` {#SummaryWriter.add_graph} + +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: + + +* <b>`graph`</b>: A `Graph` object, such as `sess.graph`. +* <b>`global_step`</b>: Number. Optional global step counter to record with the + graph. +* <b>`graph_def`</b>: DEPRECATED. Use the `graph` parameter instead. + +##### Raises: + + +* <b>`ValueError`</b>: If both graph and graph_def are passed to the method. + + +- - - + +#### `tf.train.SummaryWriter.add_run_metadata(run_metadata, tag, global_step=None)` {#SummaryWriter.add_run_metadata} + +Adds a metadata information for a single session.run() call. + +##### Args: + + +* <b>`run_metadata`</b>: A `RunMetadata` protobuf object. +* <b>`tag`</b>: The tag name for this metadata. +* <b>`global_step`</b>: Number. Optional global step counter to record with the + StepStats. + +##### Raises: + + +* <b>`ValueError`</b>: If the provided tag was already used for this type of event. + + + +- - - + +#### `tf.train.SummaryWriter.flush()` {#SummaryWriter.flush} + +Flushes the event file to disk. + +Call this method to make sure that all pending events have been written to +disk. + + +- - - + +#### `tf.train.SummaryWriter.close()` {#SummaryWriter.close} + +Flushes the event file to disk and close the file. + +Call this method when you do not need the summary writer anymore. + + |