import os | |
import sys | |
import torch | |
class Hparams: | |
args = { | |
'save_model_dir': '/kaggle/output/results/lr1e-3', | |
'device': 'cuda' if torch.cuda.is_available() else 'cpu', | |
'dataset_root': '/kaggle/input/paddle-speech/', | |
'sampling_rate': 16000, | |
'sample_length': 16, # in second | |
'num_workers': 4, # Number of additional thread for data loading. A large number may freeze your laptop. | |
'frame_size': 0.025, | |
'batch_size': 32, | |
} | |