| import torch | |
| # Training Hyperparameters | |
| LEARNING_RATE = 0.0001 | |
| BATCH_SIZE = 16 | |
| NUM_WORKERS = 24 | |
| MAX_EPOCHS = 50 | |
| # Dataset parameters | |
| WEIGHTS = "DEFAULT" | |
| LABELS = 'wind' # Overwritten if labels argument is given | |
| SPLIT_BY = 'sequence' | |
| LOAD_DATA = 'all_data' | |
| DATASET_SPLIT = (0.8, 0.2, 0) | |
| STANDARDIZE_RANGE = (170, 300) | |
| DOWNSAMPLE_SIZE = 224 # Overwritten if size argument is given | |
| NUM_CLASSES = 1 | |
| # Computation parameters | |
| ACCELERATOR = 'gpu' if torch.cuda.is_available() else 'cpu' | |
| DEVICES = 0 # Overwritten if device argument is given | |
| DATA_DIR = '/data/' |