Memory requirements when running train.py

[lixiangbao]

I have an issue when running train.py， which is the job will be killed while running this part of creating train set: (I have chosen ten classes of data, which is not so much.)
train_data = []
for index, btl_name in enumerate(btl_train_names):
temp = np.load(open(btl_name))
train_data.append(temp)

I am using a server with 256GB memory and one NVIDIA GPU. I want to know the minimum configuration for running the code successfully. Anyone could help me ??

thanks,