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