I train a model about medical image processing。
Since the data is so big that data can not load to memory once. I divide the data to thousands of csv files, each csv file consist of one sample.
Here is the implement of my dataset:
import numpy as np
import torch.utils.data as data
def init(self, csvlist):
self.csvlist = csvlist
def __len__(self): return len(self.csvlist) def __getitem__(self,idx): csvfile = self.csvlist[idx] inputs = np.loadtxt(open(csvfile,'rb'),delimiter=",",skiprows=0) inputs = torch.Tensor(inputs) input1 = inputs[:35937].view(1,33,33,33) input2 = inputs[35937:-1].view(1,33,33,33) label = torch.zeros(1) label = inputs[-1] return input1, input2, label
While in third epoch, the error occurs,
The model runs on Desktop with Intel i7-6700K CPU , GTX 1080Ti Graphic card and 16GB memory. Does anybody have an idea? Thanks for any help.