aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/python/summary/summary_iterator.py
blob: 321b11ffb73487405428340df94010ed8ddbfcd4 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
# Copyright 2015 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.
# ==============================================================================

"""Provides a method for reading events from an event file via an iterator."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.core.util import event_pb2
from tensorflow.python.lib.io import tf_record
from tensorflow.python.util.tf_export import tf_export


@tf_export('train.summary_iterator')
def summary_iterator(path):
  # pylint: disable=line-too-long
  """An iterator for reading `Event` protocol buffers from an event file.

  You can use this function to read events written to an event file. It returns
  a Python iterator that yields `Event` protocol buffers.

  Example: Print the contents of an events file.

  ```python
  for e in tf.train.summary_iterator(path to events file):
      print(e)
  ```

  Example: Print selected summary values.

  ```python
  # This example supposes that the events file contains summaries with a
  # summary value tag 'loss'.  These could have been added by calling
  # `add_summary()`, passing the output of a scalar summary op created with
  # with: `tf.summary.scalar('loss', loss_tensor)`.
  for e in tf.train.summary_iterator(path to events file):
      for v in e.summary.value:
          if v.tag == 'loss':
              print(v.simple_value)
  ```

  See the protocol buffer definitions of
  [Event](https://www.tensorflow.org/code/tensorflow/core/util/event.proto)
  and
  [Summary](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)
  for more information about their attributes.

  Args:
    path: The path to an event file created by a `SummaryWriter`.

  Yields:
    `Event` protocol buffers.
  """
  # pylint: enable=line-too-long
  for r in tf_record.tf_record_iterator(path):
    yield event_pb2.Event.FromString(r)