Support data.experimental.distribued_save and add wait to load.
#64610
+165
−66
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
![copybara-service[bot]](https://avatars.githubusercontent.com/in/44061?s=60&v=4){kind=small}
copybara-service
bot
force-pushed
the
exported_pr_617309690
branch
3 times, most recently
from
28445dd
to
5da6753
Compare
`distribued_save` uses tf.data service (https://www.tensorflow.org/api_docs/python/tf/data/experimental/service) to write distributed dataset snapshots. The call is non-blocking and returns without waiting for the snapshot to finish. Setting `wait=True` to `tf.data.Dataset.load` allows the snapshots to be read while they are being written. The default is `False` for backward compatibility. It will raise an error if the requested snapshot does not exist. PiperOrigin-RevId: 621612641
copybara-service
bot
force-pushed
the
exported_pr_617309690
branch
from
5da6753
to
12547f1
Compare
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Support
data.experimental.distribued_saveand addwaittoload.distribued_saveuses tf.data service(https://www.tensorflow.org/api_docs/python/tf/data/experimental/service)
to write distributed dataset snapshots. The call is non-blocking and
returns without waiting for the snapshot to finish. Setting
wait=Truetotf.data.Dataset.loadallows the snapshots to be read while they arebeing written. The default is
Falsefor backward compatibility. It willraise an error if the requested snapshot does not exist.