package tensorflow

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Protocol buffer representing an event that happened during the execution of a Brain model.

• double wall_time = 1

  Timestamp of the event.

• int64 step = 2

  Global step of the event.

• oneof what

  • string file_version = 3

    An event file was started, with the specified version. This is use to identify the contents of the record IO files easily. Current version is "brain.Event:2". All versions start with "brain.Event:".

  • bytes graph_def = 4

    An encoded version of a GraphDef.

  • Summary summary = 5

    A summary was generated.

  • LogMessage log_message = 6

    The user output a log message. Not all messages are logged, only ones generated via the Python tensorboard_logging module.

  • SessionLog session_log = 7

    The state of the session which can be used for restarting after crashes.

  • TaggedRunMetadata tagged_run_metadata = 8

    The metadata returned by running a session.run() call.

Serialization format for histogram module in core/lib/histogram/histogram.h

Used in: Summary.Value

• double min = 1

• double max = 2

• double num = 3

• double sum = 4

• double sum_squares = 5

• repeated double bucket_limit = 6

  Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i. The range for a bucket is: i == 0: -DBL_MAX .. bucket_limit(0) i != 0: bucket_limit(i-1) .. bucket_limit(i)

• repeated double bucket = 7

Protocol buffer used for logging messages to the events file.

Used in: Event

• LogMessage.Level level = 1

• string message = 2

Used in: LogMessage

• UNKNOWN = 0

• DEBUG = 10

• INFO = 20

• WARN = 30

• ERROR = 40

• FATAL = 50

Protocol buffer used for logging session state.

Used in: Event

• SessionLog.SessionStatus status = 1

• string checkpoint_path = 2

  This checkpoint_path contains both the path and filename.

• string msg = 3

Used in: SessionLog

• STATUS_UNSPECIFIED = 0

• START = 1

• STOP = 2

• CHECKPOINT = 3

A Summary is a set of named values to be displayed by the visualizer. Summaries are produced regularly during training, as controlled by the "summary_interval_secs" attribute of the training operation. Summaries are also produced at the end of an evaluation.

Used in: Event

• repeated Summary.Value value = 1

  Set of values for the summary.

Used in: Value

• float sample_rate = 1

  Sample rate of the audio in Hz.

• int64 num_channels = 2

  Number of channels of audio.

• int64 length_frames = 3

  Length of the audio in frames (samples per channel).

• bytes encoded_audio_string = 4

  Encoded audio data and its associated RFC 2045 content type (e.g. "audio/wav").

• string content_type = 5

Used in: Value

• int32 height = 1

  Dimensions of the image.

• int32 width = 2

• int32 colorspace = 3

  Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA

• bytes encoded_image_string = 4

  Image data in encoded format. All image formats supported by image_codec::CoderUtil can be stored here.

Used in: Summary

• string node_name = 7

  Name of the node that output this summary; in general, the name of a TensorSummary node. If the node in question has multiple outputs, then a ":\d+" suffix will be appended, like "some_op:13". Might not be set for legacy summaries (i.e. those not using the tensor value field)

• string tag = 1

  Tag name for the data. Will only be used by legacy summaries (ie. those not using the tensor value field) For legacy summaries, will be used as the title of the graph in the visualizer. Tag is usually "op_name:value_name", where "op_name" itself can have structure to indicate grouping.

• oneof value

  Value associated with the tag.

  • float simple_value = 2

  • bytes obsolete_old_style_histogram = 3

  • Image image = 4

  • HistogramProto histo = 5

  • Audio audio = 6

    TensorProto tensor = 8;

For logging the metadata output for a single session.run() call.

Used in: Event

• string tag = 1

  Tag name associated with this metadata.

• bytes run_metadata = 2

  Byte-encoded version of the `RunMetadata` proto in order to allow lazy deserialization.