This repository was archived by the owner on Oct 15, 2024. It is now read-only.
Open
Conversation
mlinmg
reviewed
May 20, 2024
| def bitmat(W: torch.Tensor, X: torch.Tensor, scale_w) -> torch.Tensor: | ||
| return BitMat.apply(W, X, scale_w) No newline at end of file | ||
| def bitmat(W: torch.Tensor, X: torch.Tensor, scale_w,quant_8bit_activations=None) -> torch.Tensor: | ||
| quant_8bit_activations = quant_8bit_activations if quant_8bit_activations is not None else BITMAT_QUANT_8BIT_ACTIVATIONS |
Contributor
There was a problem hiding this comment.
I don't like that is is been passed as a env var
GiacomoLeoneMaria
approved these changes
May 20, 2024
This file contains hidden or 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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
kernel is giving nan when activation are quantized in 8bit, adding way to optionally run quantize activations