AntoineH/smart_augmentation
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Changement mesure memoire + Tests solarize differentiable

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Harle, Antoine (Contracteur) 2020-02-10 14:36:12 -05:00
parent 6277e268c1
commit 7d5aa7c6fb
4 changed files with 102 additions and 66 deletions
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6
higher/smart_aug/test_dataug.py
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@ -146,7 +146,7 @@ if __name__ == "__main__":
#### Augmented Model ####
if 'aug_model' in tasks:
torch.cuda.reset_max_memory_cached() #reset_peak_stats
torch.cuda.reset_max_memory_allocated() #reset_peak_stats
t0 = time.perf_counter()
tf_dict = {k: TF.TF_dict[k] for k in tf_names}
@ -166,7 +166,7 @@ if __name__ == "__main__":
save_sample_freq=1)
exec_time=time.perf_counter() - t0
max_cached = torch.cuda.max_memory_cached()/(1024.0 * 1024.0) #torch.cuda.max_memory_reserved() #MB
max_cached = torch.cuda.max_memory_allocated()/(1024.0 * 1024.0) #torch.cuda.max_memory_reserved() #MB
####
print('-'*9)
times = [x["time"] for x in log]
@ -178,7 +178,7 @@ if __name__ == "__main__":
"Param_names": aug_model.TF_names(),
"Log": log}
print(str(aug_model),": acc", out["Accuracy"], "in:", out["Time"][0], "+/-", out["Time"][1])
filename = "{}-{} epochs (dataug:{})- {} in_it".format(str(aug_model),epochs,dataug_epoch_start,n_inner_iter)+"(CV0.1)"
filename = "{}-{} epochs (dataug:{})- {} in_it".format(str(aug_model),epochs,dataug_epoch_start,n_inner_iter)
with open("../res/log/%s.json" % filename, "w+") as f:
try:
json.dump(out, f, indent=True)