tf.raw_ops.SnapshotDatasetV2

Creates a dataset that will write to / read from a snapshot.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.SnapshotDatasetV2

tf.raw_ops.SnapshotDatasetV2(
    input_dataset, path, reader_func_other_args, shard_func_other_args,
    output_types, output_shapes, reader_func, shard_func, compression='', name=None
)

This dataset attempts to determine whether a valid snapshot exists at the snapshot_path, and reads from the snapshot in lieu of using input_dataset. If not, it will run the preprocessing pipeline as usual, and write out a snapshot of the data processed for future use.

Args
input_dataset	A Tensor of type variant. A variant tensor representing the input dataset.
path	A Tensor of type string. The path we should write snapshots to / read snapshots from.
reader_func_other_args	A list of Tensor objects.
shard_func_other_args	A list of Tensor objects.
output_types	A list of tf.DTypes that has length >= 1.
output_shapes	A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
reader_func	A function decorated with @Defun. Optional. A function to control how to read data from snapshot shards.
shard_func	A function decorated with @Defun. Optional. A function to control how to shard data when writing a snapshot.
compression	An optional string. Defaults to "". The type of compression to be applied to the saved snapshot files.
name	A name for the operation (optional).

Returns
A Tensor of type variant.