tf.compat.v1.train.checkpoint_exists
Checks whether a V1 or V2 checkpoint exists with the specified prefix. (deprecated)
tf.compat.v1.train.checkpoint_exists(
checkpoint_prefix
)
This is the recommended way to check if a checkpoint exists, since it takes into account the naming difference between V1 and V2 formats.
| Args | |
|---|---|
checkpoint_prefix | the prefix of a V1 or V2 checkpoint, with V2 taking priority. Typically the result of Saver.save() or that of tf.train.latest_checkpoint(), regardless of sharded/non-sharded or V1/V2. |
| Returns | |
|---|---|
A bool, true if a checkpoint referred to by checkpoint_prefix exists. |
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/compat/v1/train/checkpoint_exists
