| _target_: pytorch_lightning.Trainer |
|
|
| |
| checkpoint_callback: True |
| default_root_dir: null |
| gradient_clip_val: 0.0 |
| process_position: 0 |
| num_nodes: 1 |
| num_processes: 1 |
| gpus: null |
| auto_select_gpus: False |
| tpu_cores: null |
| log_gpu_memory: null |
| overfit_batches: 0.0 |
| track_grad_norm: -1 |
| check_val_every_n_epoch: 1 |
| fast_dev_run: False |
| accumulate_grad_batches: 1 |
| max_epochs: 1 |
| min_epochs: 1 |
| max_steps: null |
| min_steps: null |
| limit_train_batches: 1.0 |
| limit_val_batches: 1.0 |
| limit_test_batches: 1.0 |
| val_check_interval: 1.0 |
| flush_logs_every_n_steps: 100 |
| log_every_n_steps: 50 |
| accelerator: null |
| sync_batchnorm: False |
| precision: 32 |
| weights_summary: "top" |
| weights_save_path: null |
| num_sanity_val_steps: 2 |
| truncated_bptt_steps: null |
| resume_from_checkpoint: null |
| profiler: null |
| benchmark: False |
| deterministic: False |
| reload_dataloaders_every_epoch: False |
| auto_lr_find: False |
| replace_sampler_ddp: True |
| terminate_on_nan: False |
| auto_scale_batch_size: False |
| prepare_data_per_node: True |
| plugins: null |
| amp_backend: "native" |
| amp_level: "O2" |
| move_metrics_to_cpu: False |
|
|
