Make FakeQuantizer expose useful config details #1717
Merged
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
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/1717
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit b304c63 with merge base 12e830b ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
facebook-github-bot
added
the
CLA Signed
**Summary:** Expose useful config details when printing FakeQuantizer, which appears when printing QAT prepared models containing linear layers. Before: ``` >>> print(prepared_model.layers[0].attn.qproj) FakeQuantizedLinear( in_features=4096, out_features=4096, bias=False (activation_fake_quantizer): FakeQuantizer() (weight_fake_quantizer): FakeQuantizer() ) ``` After: ``` >>> print(prepared_model.layers[0].attn.qproj) FakeQuantizedLinear( in_features=4096, out_features=4096, bias=False (activation_fake_quantizer): FakeQuantizer(FakeQuantizeConfig(dtype=torch.int8, granularity=PerToken(), mapping_type=<MappingType.ASYMMETRIC: 3>, scale_precision=torch.float32, zero_point_precision=torch.int32, zero_point_domain=<ZeroPointDomain.INT: 1>, is_dynamic=True, range_learning=False)) (weight_fake_quantizer): FakeQuantizer(FakeQuantizeConfig(dtype=torch.int4, granularity=PerGroup(group_size=32), mapping_type=<MappingType.SYMMETRIC: 1>, scale_precision=torch.float32, zero_point_precision=torch.int32, zero_point_domain=<ZeroPointDomain.INT: 1>, is_dynamic=True, range_learning=False)) ) ``` **Test Plan:** python test/quantization/test_qat.py -k test_fake_quantizer_repr
andrewor14
force-pushed
the
fake-quantizer-repr
branch
from
8937625 to
b304c63
Compare
vkuzo
approved these changes
Feb 14, 2025
andrewor14
added
the
topic: improvement
drisspg
approved these changes
Feb 14, 2025
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.
Summary: Expose useful config details when printing FakeQuantizer, which appears when printing QAT prepared models containing linear layers.
Before:
After:
Test Plan:
python test/quantization/test_qat.py -k test_fake_quantizer_repr