18 lines
478 B
Python
18 lines
478 B
Python
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from src.model.linear import DNN
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from src.data.dataset import MnistDataset
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import os
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def test_size_of_dataset():
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examples = 500
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os.environ["TRAINING_EXAMPLES"] = str(examples)
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channels = 1
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width, height = 224, 224
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dataset = MnistDataset(os.getenv("TRAIN_PATH"))
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# label = dataset[0][1].item()
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image = dataset[0][0].shape
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assert channels == image[0]
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assert width == image[1]
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assert height == image[2]
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assert len(dataset) == examples
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