• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1syntax = "proto3";
2
3package tensorflow;
4
5import "tensorflow/core/framework/tensor.proto";
6
7option cc_enable_arenas = true;
8option java_outer_classname = "SummaryProtos";
9option java_multiple_files = true;
10option java_package = "org.tensorflow.framework";
11option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/summary_go_proto";
12
13// Metadata associated with a series of Summary data
14message SummaryDescription {
15  // Hint on how plugins should process the data in this series.
16  // Supported values include "scalar", "histogram", "image", "audio"
17  string type_hint = 1;
18}
19
20// Serialization format for histogram module in
21// core/lib/histogram/histogram.h
22message HistogramProto {
23  double min = 1;
24  double max = 2;
25  double num = 3;
26  double sum = 4;
27  double sum_squares = 5;
28
29  // Parallel arrays encoding the bucket boundaries and the bucket values.
30  // bucket(i) is the count for the bucket i.  The range for
31  // a bucket is:
32  //   i == 0:  -DBL_MAX .. bucket_limit(0)
33  //   i != 0:  bucket_limit(i-1) .. bucket_limit(i)
34  repeated double bucket_limit = 6 [packed = true];
35  repeated double bucket = 7 [packed = true];
36}
37
38// A SummaryMetadata encapsulates information on which plugins are able to make
39// use of a certain summary value.
40message SummaryMetadata {
41  message PluginData {
42    // The name of the plugin this data pertains to.
43    string plugin_name = 1;
44
45    // The content to store for the plugin. The best practice is for this to be
46    // a binary serialized protocol buffer.
47    bytes content = 2;
48  }
49
50  // Data that associates a summary with a certain plugin.
51  PluginData plugin_data = 1;
52
53  // Display name for viewing in TensorBoard.
54  string display_name = 2;
55
56  // Longform readable description of the summary sequence. Markdown supported.
57  string summary_description = 3;
58
59  // Class of data stored in this time series. Required for compatibility with
60  // TensorBoard's generic data facilities (`DataProvider`, et al.). This value
61  // imposes constraints on the dtype and shape of the corresponding tensor
62  // values. See `DataClass` docs for details.
63  DataClass data_class = 4;
64}
65
66enum DataClass {
67  // Unknown data class, used (implicitly) for legacy data. Will not be
68  // processed by data ingestion pipelines.
69  DATA_CLASS_UNKNOWN = 0;
70  // Scalar time series. Each `Value` for the corresponding tag must have
71  // `tensor` set to a rank-0 tensor of type `DT_FLOAT` (float32).
72  DATA_CLASS_SCALAR = 1;
73  // Tensor time series. Each `Value` for the corresponding tag must have
74  // `tensor` set. The tensor value is arbitrary, but should be small to
75  // accommodate direct storage in database backends: an upper bound of a few
76  // kilobytes is a reasonable rule of thumb.
77  DATA_CLASS_TENSOR = 2;
78  // Blob sequence time series. Each `Value` for the corresponding tag must
79  // have `tensor` set to a rank-1 tensor of bytestring dtype.
80  DATA_CLASS_BLOB_SEQUENCE = 3;
81}
82
83// A Summary is a set of named values to be displayed by the
84// visualizer.
85//
86// Summaries are produced regularly during training, as controlled by
87// the "summary_interval_secs" attribute of the training operation.
88// Summaries are also produced at the end of an evaluation.
89message Summary {
90  message Image {
91    // Dimensions of the image.
92    int32 height = 1;
93    int32 width = 2;
94    // Valid colorspace values are
95    //   1 - grayscale
96    //   2 - grayscale + alpha
97    //   3 - RGB
98    //   4 - RGBA
99    //   5 - DIGITAL_YUV
100    //   6 - BGRA
101    int32 colorspace = 3;
102    // Image data in encoded format.  All image formats supported by
103    // image_codec::CoderUtil can be stored here.
104    bytes encoded_image_string = 4;
105  }
106
107  message Audio {
108    // Sample rate of the audio in Hz.
109    float sample_rate = 1;
110    // Number of channels of audio.
111    int64 num_channels = 2;
112    // Length of the audio in frames (samples per channel).
113    int64 length_frames = 3;
114    // Encoded audio data and its associated RFC 2045 content type (e.g.
115    // "audio/wav").
116    bytes encoded_audio_string = 4;
117    string content_type = 5;
118  }
119
120  message Value {
121    // This field is deprecated and will not be set.
122    string node_name = 7;
123
124    // Tag name for the data. Used by TensorBoard plugins to organize data. Tags
125    // are often organized by scope (which contains slashes to convey
126    // hierarchy). For example: foo/bar/0
127    string tag = 1;
128
129    // Contains metadata on the summary value such as which plugins may use it.
130    // Take note that many summary values may lack a metadata field. This is
131    // because the FileWriter only keeps a metadata object on the first summary
132    // value with a certain tag for each tag. TensorBoard then remembers which
133    // tags are associated with which plugins. This saves space.
134    SummaryMetadata metadata = 9;
135
136    // Value associated with the tag.
137    oneof value {
138      float simple_value = 2;
139      bytes obsolete_old_style_histogram = 3;
140      Image image = 4;
141      HistogramProto histo = 5;
142      Audio audio = 6;
143      TensorProto tensor = 8;
144    }
145  }
146
147  // Set of values for the summary.
148  repeated Value value = 1;
149}
150