class category_in_filename_data_loader(data.Dataset)

dataloader for files like (category).(number).(extension) {example: dog.1.jpg}

use example:
    trainset = category_in_filename_data_loader('../train', transforms=transform, train= True)
    trainloader = torch.utils.data.DataLoader(trainset, 
                                     batch_size=64, 
                                     shuffle=True, num_workers=4)

training_loop(epochs, model, trainloader,loss_fn, optimizer)
basic training loop that prints out loss and time for each epoch

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def testing_loop(model,testloader):
basic testing loop

device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
set device to cuda or cpu, device-agnostic code

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def train_test_split(array, train)
train test split, 9 : 1 ratio