Esempio n. 1
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def create_summary_metadata(display_name, description):
  """Create a `tf.SummaryMetadata` proto for image plugin data.

  Returns:
    A `tf.SummaryMetadata` protobuf object.
  """
  content = plugin_data_pb2.ImagePluginData()
  metadata = tf.SummaryMetadata(display_name=display_name,
                                summary_description=description)
  metadata.plugin_data.add(plugin_name=PLUGIN_NAME,
                           content=content.SerializeToString())
  return metadata
Esempio n. 2
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def parse_plugin_metadata(content):
  """Parse summary metadata to a Python object.

  Arguments:
    content: The `content` field of a `SummaryMetadata` proto
      corresponding to the image plugin.

  Returns:
    An `ImagePluginData` protobuf object.
  """
  result = plugin_data_pb2.ImagePluginData()
  result.ParseFromString(content)
  return result
Esempio n. 3
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def create_summary_metadata(display_name, description):
    """Create a `summary_pb2.SummaryMetadata` proto for image plugin data.

  Returns:
    A `summary_pb2.SummaryMetadata` protobuf object.
  """
    content = plugin_data_pb2.ImagePluginData(version=PROTO_VERSION)
    metadata = summary_pb2.SummaryMetadata(
        display_name=display_name,
        summary_description=description,
        plugin_data=summary_pb2.SummaryMetadata.PluginData(
            plugin_name=PLUGIN_NAME, content=content.SerializeToString()))
    return metadata
Esempio n. 4
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def parse_plugin_metadata(content):
    """Parse summary metadata to a Python object.

  Arguments:
    content: The `content` field of a `SummaryMetadata` proto
      corresponding to the image plugin.

  Returns:
    An `ImagePluginData` protobuf object.
  """
    result = plugin_data_pb2.ImagePluginData()
    # TODO(@jart): Instead of converting to bytes, assert that the input
    # is a bytestring, and raise a ValueError otherwise...but only after
    # converting `PluginData`'s `content` field to have type `bytes`
    # instead of `string`.
    result.ParseFromString(tf.compat.as_bytes(content))
    if result.version == 0:
        return result
    else:
        tf.logging.warn(
            'Unknown metadata version: %s. The latest version known to '
            'this build of TensorBoard is %s; perhaps a newer build is '
            'available?', result.version, PROTO_VERSION)
        return result