Wrap arbitrary numpy ndarray like objects as cached cell images #7
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
The module would not be used anyway, and different return signatures caused crashes
Use VolatileViews to wrap into a volatile cell img!
For example, dask arrays do not return numpy arrays when slicing. Instead, call compute() on those.
The reference store can ensure that object references are not deleted by the Python interpreter while still in use in the JVM
This is a utility class to easily convert any Python callable into a Java Runnable
1. Ensure that native memory and local Python functions are not being garbage collected while still being used within the JVM 2. Copy native memory into `ArrayDataAccess`es without synchronization
Instead of using the SoftRefLoaderCache (hard-coded) that would probably never be cleared, resulting in a "memory leak", use bounded caches instead.
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Outdated suggestions cannot be applied.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.
Fixes #1