B !`7 @sdZddlmZddlmZddlmZddlZddlmZddl m Z ddl m Z dd lmZdd lmZdd lmZd d ZdS)zPublic API for the Embedding Projector. @@ProjectorPluginAsset @@ProjectorConfig @@EmbeddingInfo @@EmbeddingMetadata @@SpriteMetadata )absolute_import)division)print_functionN) text_format)tf)metadata) EmbeddingInfo)SpriteMetadata)ProjectorConfigc sjtdfdddkr&tdt|}tjtj}t j j |d}| |WdQRXdS)aStores a config file used by the embedding projector. Args: logdir: Directory into which to store the config file, as a `str`. For compatibility, can also be a `tf.compat.v1.summary.FileWriter` object open at the desired logdir. config: `tf.contrib.tensorboard.plugins.projector.ProjectorConfig` proto that holds the configuration for the projector such as paths to checkpoint files and metadata files for the embeddings. If `config.model_checkpoint_path` is none, it defaults to the `logdir` used by the summary_writer. Raises: ValueError: If the summary writer does not have a `logdir`. Z get_logdircsS)Nr )logdirr U/home/dcms/DCMS/lib/python3.7/site-packages/tensorboard/plugins/projector/__init__.py=z&visualize_embeddings..Nz*Expected logdir to be a path, but got Nonew)getattr ValueError _text_formatZMessageToStringospathjoin _metadataZPROJECTOR_FILENAMErioZgfileZGFilewrite)r configZ config_pbtxtrfr )r r visualize_embeddings,s r)__doc__ __future__rrrrZgoogle.protobufrrZtensorboard.compatrZtensorboard.plugins.projectorrrZ2tensorboard.plugins.projector.projector_config_pb2rr r rr r r r s