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Support Int4OpaqueTensor for HQQ #3028
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3028
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 84e9c2f with merge base 18dbe87 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Looks good overall. Thanks.
test/quantization/quantize_/workflows/int4/test_int4_opaque_tensor.py
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torchao/quantization/quantize_/workflows/int4/int4_opaque_tensor.py
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torchao/quantization/quantize_/workflows/int4/int4_opaque_tensor.py
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test/quantization/quantize_/workflows/int4/test_int4_opaque_tensor.py
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thanks looks good, left some comments inline
Make Int4OpaqueTensor support HQQ. Signed-off-by: Cui, Lily <lily.cui@intel.com>
@pytorchbot merge |
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@pytorchbot merge |
Merge failedReason: 1 mandatory check(s) are pending/not yet run. The first few are:
Dig deeper by viewing the pending checks on hud |
Merge failedReason: 1 mandatory check(s) are pending/not yet run. The first few are:
Dig deeper by viewing the pending checks on hud |
Signed-off-by: Cui, Lily <lily.cui@intel.com>
Make Int4OpaqueTensor support HQQ.