def test_default_components(self):
"""Tests that defult components are added when necessary."""
self._create_metadata()
stored_metadata = plugin_data_pb2.MeshPluginData(
version=metadata.get_current_version(), components=0)
parsed_metadata = metadata.parse_plugin_metadata(
stored_metadata.SerializeToString())
self.assertGreater(parsed_metadata.components, 0)
def create_summary_metadata(
name,
display_name,
content_type,
components,
shape,
description=None,
json_config=None,
):
"""Creates summary metadata which defined at MeshPluginData proto.
Arguments:
name: Original merged (summaries of different types) summary name.
display_name: The display name used in TensorBoard.
content_type: Value from MeshPluginData.ContentType enum describing data.
components: Bitmask representing present parts (vertices, colors, etc.) that
belong to the summary.
shape: list of dimensions sizes of the tensor.
description: The description to show in TensorBoard.
json_config: A string, JSON-serialized dictionary of ThreeJS classes
configuration.
Returns:
A `summary_pb2.SummaryMetadata` protobuf object.
"""
# Shape should be at least BxNx3 where B represents the batch dimensions
# and N - the number of points, each with x,y,z coordinates.
if len(shape) != 3:
raise ValueError("Tensor shape should be of shape BxNx3, but got %s." %
str(shape))
mesh_plugin_data = plugin_data_pb2.MeshPluginData(
version=get_current_version(),
name=name,
content_type=content_type,
components=components,
shape=shape,
json_config=json_config,
)
content = mesh_plugin_data.SerializeToString()
return summary_pb2.SummaryMetadata(
display_name=display_name, # Will not be used in TensorBoard UI.
summary_description=description,
plugin_data=summary_pb2.SummaryMetadata.PluginData(
plugin_name=PLUGIN_NAME, content=content),
)