WIP hqq-mix perf tests #470
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/470
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Summary: running into an error, unsure if its caused by the unwrap_tensor_subclass or what with unwrap: I can't call nn.functional.linear because its missing detach, but inserting all the detaches in the world doesn't fix it without unwrap: I can't torch.compile it Test Plan: python test/test_integration.py -k "test_int4_weight_only_hqq_mixed_quant_subclass_api_grouped" Reviewers: Subscribers: Tasks: Tags:
jerryzh168
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Jul 3, 2024
| quantize_affine, | ||
| ) | ||
| from torchao.quantization.utils import unpack_tinygemm_scales_and_zeros |
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Summary:
running into an error, unsure if its caused by the unwrap_tensor_subclass or what
with unwrap: I can't call nn.functional.linear because its missing detach, but inserting all the detaches in the world doesn't fix it
without unwrap: I can't torch.compile it
Test Plan:
python test/test_integration.py -k
"test_int4_weight_only_hqq_mixed_quant_subclass_api_grouped"
Reviewers:
Subscribers:
Tasks:
Tags: