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tests for encoder and decoder return value dimensions #10

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Empty file added model/__init__.py
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22 changes: 22 additions & 0 deletions model/test_encoder.py
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import torch
from UNet import Encoder, Decoder


def test_encoder_valid_shape():
encoder = Encoder(num_input_channels=1, base_channel_size=32, latent_dim=256)
x = torch.randn(10000, 1, 28, 28)
res_shape = encoder(x).shape
assert res_shape[0] == 10000 and res_shape[1] == 256, "Correct encoding dimensions"


def test_decoder_valid_shape():
decoder = Decoder(num_input_channels=1, base_channel_size=32, latent_dim=256)
x = torch.randn(1000, 256)
res_shape = decoder(x).shape
assert res_shape[0] == 1000 and res_shape[1] == 1, "Correct decoding dimensions"


if __name__ == "__main__":
test_encoder_valid_shape()
test_decoder_valid_shape()
print("Everything passed")