Add from_int4_tensor in Int4PreshuffledTensor #2978
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Summary: Added a classmethod `from_int4_tensor` to convert a plain `Int4Tensor` to `Int4PreshuffledTensor` This is in preparation for supporting Int4PreshuffledTensor in vllm, which requires the tensor to be sliced before inference, see https://github.com/pytorch/ao/blob/186aeb01664687d14108ada420c475cc783e1643/torchao/testing/utils.py#L429 for details but Int4PreshuffledTensor can't be easiliy sliced while also preserving alias, so we plan to slice the Plain int4 tensor instead and then convert to Int4PreshuffledTensor at a later stage. Next PR is going to add a top level API in prototype to convert from int4 tensor to int4 preshuffled tensor Test Plan: python test/quantization/quantize_/workflows/int4/test_int4_preshuffled_tensor.py -k test_from_int4_tensor Reviewers: Subscribers: Tasks: Tags:
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/2978
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 22e0acb with merge base 186aeb0 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Summary:
Added a classmethod
from_int4_tensorto convert a plainInt4TensortoInt4PreshuffledTensorThis is in preparation for supporting Int4PreshuffledTensor in vllm, which requires the tensor to be sliced before inference, see
ao/torchao/testing/utils.py
Line 429 in 186aeb0
but Int4PreshuffledTensor can't be easiliy sliced while also preserving alias, so we plan to slice the Plain int4 tensor instead and then convert to Int4PreshuffledTensor at a later stage.
Next PR is going to add a top level API in prototype to convert from int4 tensor to int4 preshuffled tensor
Test Plan:
python test/quantization/quantize_/workflows/int4/test_int4_preshuffled_tensor.py -k test_from_int4_tensor
Reviewers:
Subscribers:
Tasks:
Tags: