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| DAGsHubLogger: true | |
| Learner: <fastai.learner.Learner object at 0x7fcf56717fd0> | |
| ParamScheduler: true | |
| ProgressCallback: true | |
| Recorder: {add_time: true, train_metrics: false, valid_metrics: true} | |
| TrainEvalCallback: true | |
| batch per epoch: 159 | |
| batch size: 4 | |
| dataset.tfms: '[Pipeline: PILBase.create, Pipeline: get_y_fn -> PILBase.create]' | |
| device: cuda | |
| dls.after_batch: "Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1} -> Normalize\ | |
| \ -- {'mean': tensor([[[[0.4850]],\n\n [[0.4560]],\n\n [[0.4060]]]],\ | |
| \ device='cuda:0'), 'std': tensor([[[[0.2290]],\n\n [[0.2240]],\n\n \ | |
| \ [[0.2250]]]], device='cuda:0'), 'axes': (0, 2, 3)}" | |
| dls.after_item: 'Pipeline: ToTensor' | |
| dls.before_batch: 'Pipeline: ' | |
| frozen: false | |
| frozen idx: 0 | |
| input 1 dim 1: 4 | |
| input 1 dim 2: 3 | |
| input 1 dim 3: 480 | |
| input 1 dim 4: 640 | |
| model parameters: 41221268 | |
| n_inp: 1 | |
| success: true | |