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Increase learning rate in dual channel toy single Gaussian
This makes the results more consistent
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check_energy.py

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configs/toy/dual_channel_single_gaussian.yaml

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@@ -11,7 +11,8 @@ num_gaussians: 1
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trainable_weights: False
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base_sigma: 2.5e-2
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epochs: 20000
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lr: 1e-2
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epochs: 1000
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BS: 512
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num_paths: 1000

linear_interpolation.py

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