add FSDP QLoRA test and revert failing PR #403
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/403
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit a9f6cca with merge base 6b0ca2d ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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| @@ -11,10 +11,6 @@ | |||
| from torch import Tensor | |||
| from torch.distributed.device_mesh import DeviceMesh | |||
| from torch._prims_common import make_contiguous_strides_for | |||
| from torchao.dtypes.utils import ( | |||
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#360 consolidate _implements and _ATEN_OP_OR_TORCH_FN_TABLE but it breaks torchtune. revert for now to unblock torchtune quickly
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Do you know how exactly this breaks torchtune? is it a versioning thing between saved models and this new model?
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the error is TypeError: nf4_detach() missing 1 required positional argument: 'args'. So there is something incompatiable around _ATEN_OP_OR_TORCH_FN_TABLE[func](*args, **kwargs)
the errors shows up when people start training in TorchTune for the 1st time
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@jerryzh168 any thoughts on why this is happening, otherwise are you okay to undo your changes?
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@drisspg to add a bit more to what @weifengpy already said, the full stack trace is here.
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I think there is something weird going on with the torch_function dispatch, where the args are becoming the arg name for aten.. If someone wants to track down how this should work and why this is I am for it but otherwhise I will approve to unblock
| def test_qlora_fsdp2(self): | ||
| from torch.distributed._composable.fsdp import CPUOffloadPolicy, OffloadPolicy | ||
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| self.run_subtests( |
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e2e mutli-gpu FSDP + QLoRA test should be able to catch regression in the future
* add FSDP QLoRA test and revert failing PR Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: * check pytorch version and cuda for ci Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: * revert linter Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags:
Add description of commandline quantization vs quantization json recipe
fix error when running torchtune QLoRA + FSDP2 #380
TypeError: nf4_detach() missing 1 required positional argument: 'args'torchtune command
pytest -s test/dtypes/test_nf4.py -k test_qlora: e2e fsdp2 + qlora testpytest -s test/dtypes/test_nf4.py -k test_tensor_copy: torchtune implementedNF4.clone, upstream it to TorchAO. This is needed by unit testcopy.deepcopy(model)