Ethanfel
b52edcfd84
Models always download to ComfyUI/models/omnivoice/ via HuggingFace. Local path added unnecessary complexity; users who want a custom path can symlink into the models directory. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
# tests/test_loader.py
|
|
from unittest.mock import patch, MagicMock
|
|
import pytest
|
|
from nodes.loader import OmniVoiceModelLoader
|
|
|
|
|
|
def test_input_types_structure():
|
|
inputs = OmniVoiceModelLoader.INPUT_TYPES()
|
|
required = inputs["required"]
|
|
assert "device" in required
|
|
assert "dtype" in required
|
|
assert "optional" not in inputs or "local_path" not in inputs.get("optional", {})
|
|
|
|
|
|
def test_input_types_device_choices():
|
|
inputs = OmniVoiceModelLoader.INPUT_TYPES()
|
|
choices = inputs["required"]["device"][0]
|
|
assert "cuda:0" in choices
|
|
assert "cpu" in choices
|
|
|
|
|
|
def test_return_type():
|
|
assert OmniVoiceModelLoader.RETURN_TYPES == ("OMNIVOICE_MODEL",)
|
|
|
|
|
|
def test_load_model():
|
|
loader = OmniVoiceModelLoader()
|
|
mock_model = MagicMock()
|
|
with patch("nodes.loader.OmniVoice") as MockOmniVoice:
|
|
MockOmniVoice.from_pretrained.return_value = mock_model
|
|
result = loader.load_model(device="cpu", dtype="float32")
|
|
assert result == (mock_model,)
|
|
call_args = MockOmniVoice.from_pretrained.call_args
|
|
assert call_args[0][0] == "k2-fsa/OmniVoice"
|
|
|
|
|
|
def test_load_model_dtype_mapped():
|
|
import torch
|
|
loader = OmniVoiceModelLoader()
|
|
with patch("nodes.loader.OmniVoice") as MockOmniVoice:
|
|
MockOmniVoice.from_pretrained.return_value = MagicMock()
|
|
loader.load_model(device="cpu", dtype="float16")
|
|
call_kwargs = MockOmniVoice.from_pretrained.call_args[1]
|
|
assert call_kwargs["dtype"] == torch.float16
|