This repository has been archived by the owner on Aug 10, 2023. It is now read-only.
Force features to be floats instead of doubles #12
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
As per @caitlynlee in google-research#7 , Make predictions give errors for various tensors as `expected dtype double does not equal original dtype float`. Forcing tensors to be floats instead of doubles in `astronet/predict.py ` solves the issue. ``` 115: global_view = preprocess.global_view(time, flux, FLAGS.period).astype(np.float32) ... 120: local_view = preprocess.local_view(time, flux, FLAGS.period, FLAGS.duration).astype(np.float32) ```
|
dont work for me |
|
@themison What errors do you see? |
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
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Outdated suggestions cannot be applied.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.
As per #7 , Make predictions give errors for various tensors as
expected dtype double does not equal original dtype float. With suggestions from @caitlynlee Forcing tensors to be floats instead of doubles inastronet/predict.pysolves the issue.