hdf5_dataset_usage.py

from torch.utils import data

num_epochs = 50
loader_params = {'batch_size': 100, 'shuffle': True, 'num_workers': 6}

dataset = HDF5Dataset('C:/ml/data', recursive=True, load_data=False, 
   data_cache_size=4, transform=None)

data_loader = data.DataLoader(dataset, **loader_params)

for i in range(num_epochs):
   for x,y in data_loader:
      # here comes your training loop
      pass

Hi, I tried to create a data_loader using your HDF5Dataset class and got an error, "ValueError: num_samples should be a positive integer value, but got num_samples=0"
Did you face this error before?

Thanks,
Aditya

Same here! Line 9 of hdf5_dataset_usage.py errors out on me. File_path and data all seem to be okay. Any pointers?