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test_models_auto.py
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32 lines (25 loc) · 1.4 KB
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import unittest
from unittest.mock import patch
from transformers import CLIPTextModel, LongformerModel
from diffusers.models import AutoModel, UNet2DConditionModel
class TestAutoModel(unittest.TestCase):
@patch(
"diffusers.models.AutoModel.load_config",
side_effect=[EnvironmentError("File not found"), {"_class_name": "UNet2DConditionModel"}],
)
def test_load_from_config_diffusers_with_subfolder(self, mock_load_config):
model = AutoModel.from_pretrained("hf-internal-testing/tiny-stable-diffusion-torch", subfolder="unet")
assert isinstance(model, UNet2DConditionModel)
@patch(
"diffusers.models.AutoModel.load_config",
side_effect=[EnvironmentError("File not found"), {"model_type": "clip_text_model"}],
)
def test_load_from_config_transformers_with_subfolder(self, mock_load_config):
model = AutoModel.from_pretrained("hf-internal-testing/tiny-stable-diffusion-torch", subfolder="text_encoder")
assert isinstance(model, CLIPTextModel)
def test_load_from_config_without_subfolder(self):
model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-longformer")
assert isinstance(model, LongformerModel)
def test_load_from_model_index(self):
model = AutoModel.from_pretrained("hf-internal-testing/tiny-stable-diffusion-torch", subfolder="text_encoder")
assert isinstance(model, CLIPTextModel)