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[test] add npu test yaml and add ascend a3 docker file (#9547)

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Co-authored-by: jiaqiw09 <jiaqiw960714@gmail.com>
This commit is contained in:
Username_Full
2025-11-30 09:37:08 +08:00
committed by GitHub
parent 22be45c78c
commit e43a972b25
33 changed files with 322 additions and 21 deletions
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1
tests/model/model_utils/test_add_tokens.py
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@@ -25,6 +25,7 @@ TINY_LLAMA3 = os.getenv("TINY_LLAMA3", "llamafactory/tiny-random-Llama-3")
UNUSED_TOKEN = "<|UNUSED_TOKEN|>"
@pytest.mark.runs_on(["cpu","npu"])
@pytest.mark.parametrize("special_tokens", [False, True])
def test_add_tokens(special_tokens: bool):
if special_tokens:

1
tests/model/model_utils/test_attention.py
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@@ -29,6 +29,7 @@ INFER_ARGS = {
}
@pytest.mark.runs_on(["cpu","npu"])
@pytest.mark.xfail(is_transformers_version_greater_than("4.48"), reason="Attention refactor.")
def test_attention():
attention_available = ["disabled"]

4
tests/model/model_utils/test_checkpointing.py
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@@ -39,6 +39,7 @@ TRAIN_ARGS = {
}
@pytest.mark.runs_on(["cpu","npu"])
@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)
@@ -46,12 +47,14 @@ def test_vanilla_checkpointing(disable_gradient_checkpointing: bool):
assert getattr(module, "gradient_checkpointing") != disable_gradient_checkpointing
@pytest.mark.runs_on(["cpu","npu"])
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"])
def test_upcast_layernorm():
model = load_train_model(upcast_layernorm=True, **TRAIN_ARGS)
for name, param in model.named_parameters():
@@ -59,6 +62,7 @@ def test_upcast_layernorm():
assert param.dtype == torch.float32
@pytest.mark.runs_on(["cpu","npu"])
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())

1
tests/model/model_utils/test_misc.py
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@@ -24,6 +24,7 @@ from llamafactory.model.model_utils.misc import find_expanded_modules
HF_TOKEN = os.getenv("HF_TOKEN")
@pytest.mark.runs_on(["cpu","npu"])
@pytest.mark.skipif(not HF_TOKEN, reason="Gated model.")
def test_expanded_modules():
config = AutoConfig.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")

1
tests/model/model_utils/test_packing.py
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@@ -18,6 +18,7 @@ import torch
from llamafactory.model.model_utils.packing import get_seqlens_in_batch, get_unpad_data
@pytest.mark.runs_on(["cpu","npu"])
@pytest.mark.parametrize(
"attention_mask,golden_seq_lens",
[

3
tests/model/model_utils/test_visual.py
View File

@@ -23,6 +23,7 @@ from llamafactory.hparams import FinetuningArguments, ModelArguments
from llamafactory.model.adapter import init_adapter
@pytest.mark.runs_on(["cpu","npu"])
@pytest.mark.parametrize("freeze_vision_tower", (False, True))
@pytest.mark.parametrize("freeze_multi_modal_projector", (False, True))
@pytest.mark.parametrize("freeze_language_model", (False, True))
@@ -48,6 +49,7 @@ def test_visual_full(freeze_vision_tower: bool, freeze_multi_modal_projector: bo
assert param.requires_grad != freeze_language_model
@pytest.mark.runs_on(["cpu","npu"])
@pytest.mark.parametrize("freeze_vision_tower,freeze_language_model", ((False, False), (False, True), (True, False)))
def test_visual_lora(freeze_vision_tower: bool, freeze_language_model: bool):
model_args = ModelArguments(model_name_or_path="Qwen/Qwen2-VL-2B-Instruct")
@@ -80,6 +82,7 @@ def test_visual_lora(freeze_vision_tower: bool, freeze_language_model: bool):
assert (merger_param_name in trainable_params) is False
@pytest.mark.runs_on(["cpu","npu"])
def test_visual_model_save_load():
# check VLM's state dict: https://github.com/huggingface/transformers/pull/38385
model_args = ModelArguments(model_name_or_path="Qwen/Qwen2-VL-2B-Instruct")