updates
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train.py
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train.py
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@ -300,7 +300,7 @@ if __name__ == '__main__':
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# Mutate hyperparameters
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old_hyp = hyp.copy()
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init_seeds(int(time.time()))
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init_seeds(seed=int(time.time()))
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for k in hyp.keys():
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x = (np.random.randn(1) * 0.3 + 1) ** 1.1 # plt.hist(x.ravel(), 100)
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hyp[k] = hyp[k] * float(x) # vary by about 30% 1sigma
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