Experiment: bring initialize_weights back again
Something really strange going on here..
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@ -361,7 +361,12 @@ class ConfigurableSwitchedResidualGenerator2(nn.Module):
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switches.append(ConfigurableSwitchComputer(transformation_filters, multiplx_fn,
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functools.partial(MultiConvBlock, transformation_filters, transformation_filters, transformation_filters, kernel_size=kernel, depth=layers),
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trans_count, initial_temp, enable_negative_transforms=enable_negative_transforms,
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add_scalable_noise_to_transforms=add_scalable_noise_to_transforms, init_scalar=.01))
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add_scalable_noise_to_transforms=add_scalable_noise_to_transforms, init_scalar=1))
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initialize_weights(switches, 1)
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# Initialize the transforms with a lesser weight, since they are repeatedly added on to the resultant image.
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initialize_weights([s.transforms for s in switches], .2 / len(switches))
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self.switches = nn.ModuleList(switches)
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self.transformation_counts = trans_counts
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self.init_temperature = initial_temp
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