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Shape of the 2D tensor [N x D]. If missing, it will be inferred from the model checkpoint.
Path to the TSV file holding the tensor values. If missing, the tensor is assumed to be stored in the model checkpoint.
Path to the checkpoint file. Use either this or model_checkpoint_dir.
Path to the checkpoint directory. The directory will be scanned for the latest checkpoint file.
Nodes represent trackable objects in the SavedModel. The data for every Keras object is stored.
Metadata of an individual Keras object.
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Index of the node in the SavedModel SavedObjectGraph.
String path from root (e.g. "root.child_layer")
Identifier to determine loading function. Must be one of: _tf_keras_input_layer, _tf_keras_layer, _tf_keras_metric, _tf_keras_model, _tf_keras_network, _tf_keras_rnn_layer, _tf_keras_sequential
Metadata containing a JSON-serialized object with the non-TensorFlow attributes for this Keras object.
Version defined by the code serializing this Keras object.
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[width, height] of a single image in the sprite.
Version information for a piece of serialized data There are different types of versions for each type of data (GraphDef, etc.), but they all have the same common shape described here. Each consumer has "consumer" and "min_producer" versions (specified elsewhere). A consumer is allowed to consume this data if producer >= min_producer consumer >= min_consumer consumer not in bad_consumers LINT.IfChange
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The version of the code that produced this data.
Any consumer below this version is not allowed to consume this data.
Specific consumer versions which are disallowed (e.g. due to bugs).