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49 lines
1.4 KiB
49 lines
1.4 KiB
1 year ago
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import torch
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from unittest.mock import MagicMock
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from swarms.utils.prep_torch_model_inference import (
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prep_torch_inference,
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)
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def test_prep_torch_inference_no_model_path():
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result = prep_torch_inference()
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assert result is None
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def test_prep_torch_inference_model_not_found(mocker):
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mocker.patch(
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"swarms.utils.prep_torch_model_inference.load_model_torch",
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side_effect=FileNotFoundError,
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)
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result = prep_torch_inference("non_existent_model_path")
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assert result is None
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def test_prep_torch_inference_runtime_error(mocker):
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mocker.patch(
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"swarms.utils.prep_torch_model_inference.load_model_torch",
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side_effect=RuntimeError,
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)
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result = prep_torch_inference("model_path")
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assert result is None
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def test_prep_torch_inference_no_device_specified(mocker):
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mock_model = MagicMock(spec=torch.nn.Module)
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mocker.patch(
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"swarms.utils.prep_torch_model_inference.load_model_torch",
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return_value=mock_model,
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)
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prep_torch_inference("model_path")
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mock_model.eval.assert_called_once()
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def test_prep_torch_inference_device_specified(mocker):
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mock_model = MagicMock(spec=torch.nn.Module)
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mocker.patch(
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"swarms.utils.prep_torch_model_inference.load_model_torch",
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return_value=mock_model,
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)
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1 year ago
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prep_torch_inference("model_path", device=torch.device("cuda"))
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1 year ago
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mock_model.eval.assert_called_once()
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