Torch original unet #216
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Torch original unet #216
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added 2 commits
July 20, 2022 17:24
| elif self.normalization == 'batch': | ||
| x = self.batch_normalization(x) | ||
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| x = self.activation_function(x) |
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If none of the correct activation key was passed, will this become x = None(x) ?
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no, it will give error within the __init__
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We might want to make an option not to get any activation layer just like the normalization layer.
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| # assert result.shape == input_image.shape | ||
| # assert result.dtype == input_image.dtype | ||
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| def test_masking_2D(): | ||
| input_array = torch.zeros((1, 1, 64, 64)) | ||
| @pytest.mark.parametrize("nb_unet_levels", [2, 3, 5, 8]) |
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Might worth to test, don't you think so? :)
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This PR implements the original unet for Noise2Self.