Support FP16 MNIST classifier AutoScale training. #67
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
Experimental results on this commit: **FP32 Normal** Training set accuracy 0.97117 Test set accuracy 0.94070 **FP32 AutoScale** Training set accuracy 0.97222 Test set accuracy 0.94030 **FP16 Normal** Training set accuracy 0.96815 Test set accuracy 0.93830 **FP16 AutoScale** Training set accuracy 0.96772 Test set accuracy 0.93770
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Outdated suggestions cannot be applied.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.
Experimental results on this commit:
FP32 Normal
Training set accuracy 0.97117
Test set accuracy 0.94070
FP32 AutoScale
Training set accuracy 0.97222
Test set accuracy 0.94030
FP16 Normal
Training set accuracy 0.96815
Test set accuracy 0.93830
FP16 AutoScale
Training set accuracy 0.96772
Test set accuracy 0.93770