Hy guys, I have a strange error and I don’t know why. This is my code: from torch.utils.data.dataset import Dataset import pandas as pd from PIL import Image from os import path import numpy as np from torchvision import transforms class Dataset(Dataset): def __init__(self, base_path, Inten…

Your train dataset name is same as that of train function…, so in effect you are calling the dataset (which is rightly not callable) instead of the train function.

Try changing the import to from torch.utils.data import Dataset Also what does the function train do?

Nothing changes :frowning: The strange thing is that i always used this Dataset class and never gave me problems…

Sounds like you are not on the same venv you are normally using that might have a different torch version.

I always used the same conda envirnoiment, try to check

The same conda environment… :frowning_face:

Can you post the train function?

def train(model, train_loader, valid_loader, exp_name = "prova", lr=0.000001, epochs=1000, wd = 0.00001): #La loss di training criterion = nn.MSELoss() optimizer = Adam(model.parameters(), lr=lr, wd=wd) # meters lossAE_meter = AverageValueMeter() lossXZ_meter = AverageValu…

Is train a function or dataset ? This implies function… train(model, train_loader, valid_loader, exp_name="MultiHead", epochs=1000) But this implies dataset… train = Dataset('./Dataset/Input','./Dataset/ToRec','./Dataset/Train.csv') I think you are calling the dataset instead of the train functi…

I think your situation is similar to this, you should redesign your program according to the provided tutorial. [image] TypeError: 'DataLoader' object is not callable train_loader = DataLoader(dataset=dataset, batch_size=40, shuffle=False) " This is my train loader varia…

First I create the dataset for train and validation, then create the data loader and after i pass the data loaders to the train function. When I call the train I pass the two data loaders

Dataset is not callable

vision

hhaoao (Hhaoao) August 19, 2020, 1:51pm 10

I think your situation is similar to this, you should redesign your program according to the provided tutorial.