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import os |
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import unittest |
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from fastNLP.io import ModelSaver, ModelLoader |
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from fastNLP.models import CNNText |
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class TestModelIO(unittest.TestCase): |
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def test_save_and_load(self): |
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model = CNNText((10, 10), 2) |
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saver = ModelSaver('tmp') |
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loader = ModelLoader() |
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saver.save_pytorch(model) |
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new_cnn = CNNText((10, 10), 2) |
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loader.load_pytorch(new_cnn, 'tmp') |
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new_model = loader.load_pytorch_model('tmp') |
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for i in range(10): |
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for j in range(10): |
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self.assertEqual(model.embed.embed.weight[i, j], new_cnn.embed.embed.weight[i, j]) |
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self.assertEqual(model.embed.embed.weight[i, j], new_model["embed.embed.weight"][i, j]) |
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os.system('rm tmp') |