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Decrease debugging freq
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@ -667,7 +667,7 @@ param_rms_smooth1: Smoothing proportion for parameter matrix, if assumed rank of
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P = param_cov.clone()
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P = self._smooth_param_cov(group, p_shape, P, G)
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if True:
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if random.random() < 0.25:
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_,S,_ = _svd(P)
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logging.info(f"Eigs of P are {S[0][0]}")
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@ -1865,7 +1865,7 @@ def _test_eve_cain():
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fix_random_seed(42)
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Linear = torch.nn.Linear if iter == 0 else ScaledLinear
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hidden_dim = 300
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hidden_dim = 400
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m = torch.nn.Sequential(Linear(E, hidden_dim),
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torch.nn.PReLU(),
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Linear(hidden_dim, hidden_dim),
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