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Fixs + Benchmark
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5 changed files with 60 additions and 16 deletions
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@ -69,8 +69,8 @@ if __name__ == "__main__":
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model = model.to(device)
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print("{} on {} for {} epochs".format(model_name, device_name, epochs))
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#print("RandAugment(N{}-M{:.2f})-{} on {} for {} epochs".format(rand_aug['N'],rand_aug['M'],model_name, device_name, epochs))
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print("{} on {} for {} epochs{}".format(model_name, device_name, epochs, postfix))
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#print("RandAugment(N{}-M{:.2f})-{} on {} for {} epochs{}".format(rand_aug['N'],rand_aug['M'],model_name, device_name, epochs, postfix))
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log= train_classic(model=model, opt_param=optim_param, epochs=epochs, print_freq=10)
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#log= train_classic_higher(model=model, epochs=epochs)
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@ -88,9 +88,9 @@ if __name__ == "__main__":
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#"Rand_Aug": rand_aug,
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"Log": log}
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print(model_name,": acc", out["Accuracy"], "in:", out["Time"][0], "+/-", out["Time"][1])
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filename = "{}-{} epochs".format(model_name,epochs)
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filename = "{}-{} epochs".format(model_name,epochs)+postfix
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#print("RandAugment-",model_name,": acc", out["Accuracy"], "in:", out["Time"][0], "+/-", out["Time"][1])
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#filename = "RandAugment(N{}-M{:.2f})-{}-{} epochs".format(rand_aug['N'],rand_aug['M'],model_name,epochs)+'-cosine'
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#filename = "RandAugment(N{}-M{:.2f})-{}-{} epochs".format(rand_aug['N'],rand_aug['M'],model_name,epochs)+postfix
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with open("../res/log/%s.json" % filename, "w+") as f:
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try:
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json.dump(out, f, indent=True)
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@ -128,7 +128,7 @@ if __name__ == "__main__":
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TF_ignore_mag=tf_ignore_mag), model).to(device)
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#aug_model = Augmented_model(RandAug(TF_dict=tf_dict, N_TF=2), model).to(device)
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print("{} on {} for {} epochs - {} inner_it".format(str(aug_model), device_name, epochs, n_inner_iter))
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print("{} on {} for {} epochs - {} inner_it{}".format(str(aug_model), device_name, epochs, n_inner_iter, postfix))
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log= run_dist_dataugV3(model=aug_model,
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epochs=epochs,
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inner_it=n_inner_iter,
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