refactored settings.py for test-derivatives #75
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f-dangel
reviewed
May 27, 2020
| # examples # | ||
| ############################################################################### | ||
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| example = { |
f-dangel
reviewed
May 27, 2020
| "input_kwargs": {"size": (4, 3, 4, 5)}, | ||
| }, | ||
| { | ||
| "module_fn": torch.nn.ZeroPad2d, |
f-dangel
reviewed
May 27, 2020
| Activation layers | ||
| Convolutional layers | ||
| Linear Layers | ||
| Loss functions |
f-dangel
reviewed
May 28, 2020
test/core/derivatives/problem.py
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| def derivative_prefix_for(self): | ||
| self.derivative = self.make_derivative() | ||
| if is_activation(self.derivative): | ||
| prefix = "act" | ||
| elif is_layer(self.derivative): | ||
| prefix = "layer" | ||
| elif is_pooling(self.derivative): | ||
| prefix = "pool" | ||
| elif is_loss(self.derivative): | ||
| prefix = "loss" | ||
| else: | ||
| prefix = "" | ||
| return prefix | ||
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Thought a bit more about it and saw the modified names in the failing travis run. Now I think this does not add sufficient new information. If s.o. is developing a new MyLayer, it's possible to filter the tests with
pytest -vx . -k MyLayer
Could you undo this prefixing? I might have missed an argument.
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This request contains refactoring of settings for test-derivatives.