mirror of
https://github.com/modelscope/modelscope.git
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61 lines
1.5 KiB
Python
61 lines
1.5 KiB
Python
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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import numpy as np
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import torch
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import torch.nn as nn
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import torch.nn.functional as F
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from modelscope.models.base_torch import TorchModel
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class TorchBaseTest(unittest.TestCase):
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def test_custom_model(self):
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class MyTorchModel(TorchModel):
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def __init__(self):
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super().__init__()
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self.conv1 = nn.Conv2d(1, 20, 5)
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self.conv2 = nn.Conv2d(20, 20, 5)
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def forward(self, x):
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x = F.relu(self.conv1(x))
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return F.relu(self.conv2(x))
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model = MyTorchModel()
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model.train()
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model.eval()
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out = model.forward(torch.rand(1, 1, 10, 10))
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self.assertEqual((1, 20, 2, 2), out.shape)
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def test_custom_model_with_postprocess(self):
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add_bias = 200
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class MyTorchModel(TorchModel):
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def __init__(self):
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super().__init__()
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self.conv1 = nn.Conv2d(1, 20, 5)
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self.conv2 = nn.Conv2d(20, 20, 5)
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def forward(self, x):
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x = F.relu(self.conv1(x))
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return F.relu(self.conv2(x))
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def postprocess(self, x):
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return x + add_bias
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model = MyTorchModel()
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model.train()
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model.eval()
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out = model(torch.rand(1, 1, 10, 10))
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self.assertEqual((1, 20, 2, 2), out.shape)
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self.assertTrue(np.all(out.detach().numpy() > (add_bias - 10)))
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if __name__ == '__main__':
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unittest.main()
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