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[test] add allreduce test on npu (#9619)

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Co-authored-by: frozenleaves <frozen@Mac.local>
This commit is contained in:
浮梦
2025-12-16 21:33:30 +08:00
committed by GitHub
parent a0179772ab
commit 18c21bce5a
20 changed files with 419 additions and 70 deletions
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8
tests/model/model_utils/test_checkpointing.py
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@@ -39,7 +39,7 @@ TRAIN_ARGS = {
}
@pytest.mark.runs_on(["cpu", "npu"])
@pytest.mark.runs_on(["cpu", "npu", "cuda"])
@pytest.mark.parametrize("disable_gradient_checkpointing", [False, True])
def test_vanilla_checkpointing(disable_gradient_checkpointing: bool):
model = load_train_model(disable_gradient_checkpointing=disable_gradient_checkpointing, **TRAIN_ARGS)
@@ -47,14 +47,14 @@ def test_vanilla_checkpointing(disable_gradient_checkpointing: bool):
assert getattr(module, "gradient_checkpointing") != disable_gradient_checkpointing
@pytest.mark.runs_on(["cpu", "npu"])
@pytest.mark.runs_on(["cpu", "npu", "cuda"])
def test_unsloth_gradient_checkpointing():
model = load_train_model(use_unsloth_gc=True, **TRAIN_ARGS)
for module in filter(lambda m: hasattr(m, "gradient_checkpointing"), model.modules()):
assert module._gradient_checkpointing_func.__self__.__name__ == "UnslothGradientCheckpointing"
@pytest.mark.runs_on(["cpu", "npu"])
@pytest.mark.runs_on(["cpu", "npu", "cuda"])
def test_upcast_layernorm():
model = load_train_model(upcast_layernorm=True, **TRAIN_ARGS)
for name, param in model.named_parameters():
@@ -62,7 +62,7 @@ def test_upcast_layernorm():
assert param.dtype == torch.float32
@pytest.mark.runs_on(["cpu", "npu"])
@pytest.mark.runs_on(["cpu", "npu", "cuda"])
def test_upcast_lmhead_output():
model = load_train_model(upcast_lmhead_output=True, **TRAIN_ARGS)
inputs = torch.randn((1, 16), dtype=torch.float16, device=get_current_device())