SnapshotDataset
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Creates a dataset that will write to / read from a snapshot.
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.
Inherited Methods
From class
java.lang.Object
boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Public Methods
public
Output<Object>
asOutput
()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is
used to obtain a symbolic handle that represents the computation of the input.
Factory method to create a class wrapping a new SnapshotDataset operation.
Parameters
scope |
current scope |
inputDataset |
A variant tensor representing the input dataset. |
path |
The path we should write snapshots to / read snapshots from. |
options |
carries optional attributes values |
Returns
- a new instance of SnapshotDataset
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Last updated 2021-01-21 UTC.
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