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| # Common training-related configs that are designed for "tools/lazyconfig_train_net.py" | |
| # You can use your own instead, together with your own train_net.py | |
| train = dict( | |
| output_dir="./output", | |
| init_checkpoint="detectron2://ImageNetPretrained/MSRA/R-50.pkl", | |
| max_iter=90000, | |
| amp=dict(enabled=False), # options for Automatic Mixed Precision | |
| ddp=dict( # options for DistributedDataParallel | |
| broadcast_buffers=False, | |
| find_unused_parameters=False, | |
| fp16_compression=False, | |
| ), | |
| checkpointer=dict(period=5000, max_to_keep=100), # options for PeriodicCheckpointer | |
| eval_period=5000, | |
| log_period=20, | |
| device="cuda" | |
| # ... | |
| ) | |