Skip to content

Refactor blockwise quantization granularity. #828

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Refactor blockwise quantization granularity. #828

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions ai_edge_torch/generative/test/test_quantize.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -160,6 +160,7 @@ def test_quantize_convert_toy_weight_sharing(self):
)

def test_quantize_convert_toy_blockwise(self):
self.skipTest("b/448668892")
config = toy_model.get_model_config()
pytorch_model = toy_model.ToySingleLayerModel(config)
idx = torch.unsqueeze(torch.arange(0, 100, dtype=torch.int), 0)
Expand All @@ -176,6 +177,7 @@ def test_quantize_convert_toy_blockwise(self):
)

def test_unsupported_block_size(self):
self.skipTest("b/448668892")
config = toy_model.get_model_config()
pytorch_model = toy_model.ToySingleLayerModel(config)
idx = torch.unsqueeze(torch.arange(0, 100, dtype=torch.int), 0)
Expand Down
Loading