tf.raw_ops.SnapshotDataset

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.SnapshotDataset

tf.raw_ops.SnapshotDataset(
    input_dataset, path, output_types, output_shapes, compression='',
    reader_path_prefix='', writer_path_prefix='', shard_size_bytes=10737418240,
    pending_snapshot_expiry_seconds=86400, num_reader_threads=1,
    reader_buffer_size=1, num_writer_threads=1, writer_buffer_size=1,
    shuffle_on_read=False, seed=0, seed2=0, mode='auto', snapshot_name='', 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.
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.
compression	An optional string. Defaults to "".
reader_path_prefix	An optional string. Defaults to "".
writer_path_prefix	An optional string. Defaults to "".
shard_size_bytes	An optional int. Defaults to 10737418240.
pending_snapshot_expiry_seconds	An optional int. Defaults to 86400.
num_reader_threads	An optional int. Defaults to 1.
reader_buffer_size	An optional int. Defaults to 1.
num_writer_threads	An optional int. Defaults to 1.
writer_buffer_size	An optional int. Defaults to 1.
shuffle_on_read	An optional bool. Defaults to False.
seed	An optional int. Defaults to 0.
seed2	An optional int. Defaults to 0.
mode	An optional string. Defaults to "auto".
snapshot_name	An optional string. Defaults to "".
name	A name for the operation (optional).

Returns
A Tensor of type variant.