Fix the impl for to for int4 weight only use case
#522
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/522
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| @@ -637,6 +637,22 @@ def test_quantized_model_to_device(self): | |||
| cuda_res = m(*example_inputs_cuda) | |||
| self.assertEqual(cuda_res.cpu(), ref) | |||
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| # TODO: enable this test | |||
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cpu -> cuda does not work yet, I changed it to cuda to cuda for now
larryliu0820
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Summary: Note that we can do the following right now: * initialize and quantize the model with int4_weight_only quant in cpu * move the model to cuda we'll enable this in a separate PR Test Plan: CI Reviewers: Subscribers: Tasks: Tags:
dbyoung18
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Jul 31, 2024
Summary: Note that we can do the following right now: * initialize and quantize the model with int4_weight_only quant in cpu * move the model to cuda we'll enable this in a separate PR Test Plan: CI Reviewers: Subscribers: Tasks: Tags:
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Summary:
Note that we can do the following right now:
we'll enable this in a separate PR
Test Plan:
python test/quantization/test_quant_api.py -k test_int4wo_quantized_model_to_device
Reviewers:
Subscribers:
Tasks:
Tags: