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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Reads Summaries from and writes Summaries to event files."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# pylint: disable=unused-import
from tensorflow.python.summary.summary_iterator import summary_iterator
from tensorflow.python.summary.writer.writer import FileWriter as _FileWriter
from tensorflow.python.summary.writer.writer_cache import FileWriterCache as SummaryWriterCache
# pylint: enable=unused-import
from tensorflow.python.util.deprecation import deprecated
class SummaryWriter(_FileWriter):
@deprecated("2016-11-30",
"Please switch to tf.summary.FileWriter. The interface and "
"behavior is the same; this is just a rename.")
def __init__(self,
logdir,
graph=None,
max_queue=10,
flush_secs=120,
graph_def=None):
"""Creates a `SummaryWriter` and an event file.
This class is deprecated, and should be replaced with tf.summary.FileWriter.
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.summary.FileWriter(<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:
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.
"""
super(SummaryWriter, self).__init__(logdir, graph, max_queue, flush_secs,
graph_def)
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