Former-commit-id: 1173f7fc1dbdcf814650bfdf854ade5212fc4738
This commit is contained in:
hiyouga 2024-09-05 03:02:59 +08:00
parent 9f36534b49
commit 666013d09d
3 changed files with 4 additions and 3 deletions

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@ -29,7 +29,7 @@ jobs:
os:
- "ubuntu-latest"
- "windows-latest"
- "macos-12"
- "macos-13"
runs-on: ${{ matrix.os }}

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@ -37,9 +37,9 @@ def compare_model(model_a: "torch.nn.Module", model_b: "torch.nn.Module", diff_k
assert set(state_dict_a.keys()) == set(state_dict_b.keys())
for name in state_dict_a.keys():
if any(key in name for key in diff_keys):
assert torch.allclose(state_dict_a[name], state_dict_b[name], rtol=1e-4, atol=1e-5) is False
assert torch.allclose(state_dict_a[name], state_dict_b[name], rtol=1e-3, atol=1e-4) is False
else:
assert torch.allclose(state_dict_a[name], state_dict_b[name], rtol=1e-4, atol=1e-5) is True
assert torch.allclose(state_dict_a[name], state_dict_b[name], rtol=1e-3, atol=1e-4) is True
def check_lora_model(model: "LoraModel") -> Tuple[Set[str], Set[str]]:

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@ -52,6 +52,7 @@ INFER_ARGS = {
CI_OS = os.environ.get("CI_OS", "")
@pytest.mark.skipif(CI_OS.startswith("windows"), reason="Skip for windows.")
def test_pissa_train():
model = load_train_model(**TRAIN_ARGS)
ref_model = load_reference_model(TINY_LLAMA_PISSA, TINY_LLAMA_PISSA, use_pissa=True, is_trainable=True)