Fix paddle.distributed.broadcast/scatter from async to sync #22
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Outdated suggestions cannot be applied.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.
Sorry to disturb you again.
I use the async mode in
paddle.distributed.broadcastandpaddle.distributed.scatter(main branch).In fact, it can not load complete tensor then output when load a huge tensor. Because there is not enough time to load a huge tensor in async mode. Maybe when we are broadcasting, the tensor has been used .
Now, I change the async mode to sync mode so that we can load a huge tensor successfully.