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1syntax = "proto3";
2
3package tensorflow;
4option cc_enable_arenas = true;
5option java_outer_classname = "SummaryProtos";
6option java_multiple_files = true;
7option java_package = "org.tensorflow.framework";
8option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework";
9import "tensorflow/core/framework/tensor.proto";
10
11// Metadata associated with a series of Summary data
12message SummaryDescription {
13  // Hint on how plugins should process the data in this series.
14  // Supported values include "scalar", "histogram", "image", "audio"
15  string type_hint = 1;
16}
17
18// Serialization format for histogram module in
19// core/lib/histogram/histogram.h
20message HistogramProto {
21  double min = 1;
22  double max = 2;
23  double num = 3;
24  double sum = 4;
25  double sum_squares = 5;
26
27  // Parallel arrays encoding the bucket boundaries and the bucket values.
28  // bucket(i) is the count for the bucket i.  The range for
29  // a bucket is:
30  //   i == 0:  -DBL_MAX .. bucket_limit(0)
31  //   i != 0:  bucket_limit(i-1) .. bucket_limit(i)
32  repeated double bucket_limit = 6 [packed = true];
33  repeated double bucket = 7 [packed = true];
34};
35
36// A SummaryMetadata encapsulates information on which plugins are able to make
37// use of a certain summary value.
38message SummaryMetadata {
39  message PluginData {
40    // The name of the plugin this data pertains to.
41    string plugin_name = 1;
42
43    // The content to store for the plugin. The best practice is for this to be
44    // a binary serialized protocol buffer.
45    bytes content = 2;
46  }
47
48  // Data that associates a summary with a certain plugin.
49  PluginData plugin_data = 1;
50
51  // Display name for viewing in TensorBoard.
52  string display_name = 2;
53
54  // Longform readable description of the summary sequence. Markdown supported.
55  string summary_description = 3;
56};
57
58// A Summary is a set of named values to be displayed by the
59// visualizer.
60//
61// Summaries are produced regularly during training, as controlled by
62// the "summary_interval_secs" attribute of the training operation.
63// Summaries are also produced at the end of an evaluation.
64message Summary {
65  message Image {
66    // Dimensions of the image.
67    int32 height = 1;
68    int32 width = 2;
69    // Valid colorspace values are
70    //   1 - grayscale
71    //   2 - grayscale + alpha
72    //   3 - RGB
73    //   4 - RGBA
74    //   5 - DIGITAL_YUV
75    //   6 - BGRA
76    int32 colorspace = 3;
77    // Image data in encoded format.  All image formats supported by
78    // image_codec::CoderUtil can be stored here.
79    bytes encoded_image_string = 4;
80  }
81
82  message Audio {
83    // Sample rate of the audio in Hz.
84    float sample_rate = 1;
85    // Number of channels of audio.
86    int64 num_channels = 2;
87    // Length of the audio in frames (samples per channel).
88    int64 length_frames = 3;
89    // Encoded audio data and its associated RFC 2045 content type (e.g.
90    // "audio/wav").
91    bytes encoded_audio_string = 4;
92    string content_type = 5;
93  }
94
95  message Value {
96    // This field is deprecated and will not be set.
97    string node_name = 7;
98
99    // Tag name for the data. Used by TensorBoard plugins to organize data. Tags
100    // are often organized by scope (which contains slashes to convey
101    // hierarchy). For example: foo/bar/0
102    string tag = 1;
103
104    // Contains metadata on the summary value such as which plugins may use it.
105    // Take note that many summary values may lack a metadata field. This is
106    // because the FileWriter only keeps a metadata object on the first summary
107    // value with a certain tag for each tag. TensorBoard then remembers which
108    // tags are associated with which plugins. This saves space.
109    SummaryMetadata metadata = 9;
110
111    // Value associated with the tag.
112    oneof value {
113      float simple_value = 2;
114      bytes obsolete_old_style_histogram = 3;
115      Image image = 4;
116      HistogramProto histo = 5;
117      Audio audio = 6;
118      TensorProto tensor = 8;
119    }
120  }
121
122  // Set of values for the summary.
123  repeated Value value = 1;
124}
125