package third_party.tensorflow.python.keras.protobuf

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Used in: ProjectorConfig

• string tensor_name = 1

• string metadata_path = 2

• string bookmarks_path = 3

• repeated uint32 tensor_shape = 4

  Shape of the 2D tensor [N x D]. If missing, it will be inferred from the model checkpoint.

• optional SpriteMetadata sprite = 5

• string tensor_path = 6

  Path to the TSV file holding the tensor values. If missing, the tensor is assumed to be stored in the model checkpoint.

• string model_checkpoint_path = 1

  Path to the checkpoint file. Use either this or model_checkpoint_dir.

• repeated EmbeddingInfo embeddings = 2

• string model_checkpoint_dir = 3

  Path to the checkpoint directory. The directory will be scanned for the latest checkpoint file.

• repeated SavedObject nodes = 1

  Nodes represent trackable objects in the SavedModel. The data for every Keras object is stored.

Metadata of an individual Keras object.

Used in: SavedMetadata

• optional tensorflow.VersionDef version = 1

  Version defined by the code serializing this Keras object.

• int32 node_id = 2

  Index of the node in the SavedModel SavedObjectGraph.

• string node_path = 3

  String path from root (e.g. "root.child_layer")

• string identifier = 4

  Identifier to determine loading function. Currently supported identifiers: _tf_keras_layer, _tf_keras_input_layer, _tf_keras_rnn_layer, _tf_keras_metric, _tf_keras_network, _tf_keras_model, _tf_keras_sequential

• string metadata = 5

  Metadata containing a JSON-serialized object with the non-TensorFlow attributes for this Keras object.

Used in: EmbeddingInfo

• string image_path = 1

• repeated uint32 single_image_dim = 2

  [width, height] of a single image in the sprite.