tf.raw_ops.SnapshotDatasetV2
Creates a dataset that will write to / read from a snapshot.
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/SnapshotDatasetV2