Download experiments/exp_basic.py from ml-resources/MambaClimateNet: direct link, hf CLI and curl.
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- Download file 986 Bytes
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https://huggingface.co/ml-resources/MambaClimateNet/resolve/main/experiments/exp_basic.py
- Command line
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hf download hf://ml-resources/MambaClimateNet/experiments/exp_basic.py
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curl -L -o exp_basic.py https://huggingface.co/ml-resources/MambaClimateNet/resolve/main/experiments/exp_basic.py
986 Bytes
| import os | |
| import torch | |
| from model import MambaClimateNet | |
| class Exp_Basic(object): | |
| def __init__(self, args): | |
| self.args = args | |
| self.model_dict = { | |
| 'MambaClimateNet': MambaClimateNet, | |
| } | |
| self.device = self._acquire_device() | |
| self.model = self._build_model().to(self.device) | |
| def _build_model(self): | |
| raise NotImplementedError | |
| return None | |
| def _acquire_device(self): | |
| if self.args.use_gpu: | |
| os.environ["CUDA_VISIBLE_DEVICES"] = str( | |
| self.args.gpu) if not self.args.use_multi_gpu else self.args.devices | |
| device = torch.device('cuda:{}'.format(self.args.gpu)) | |
| print('Use GPU: cuda:{}'.format(self.args.gpu)) | |
| else: | |
| device = torch.device('cpu') | |
| print('Use CPU') | |
| return device | |
| def _get_data(self): | |
| pass | |
| def vali(self): | |
| pass | |
| def train(self): | |
| pass | |
| def test(self): | |
| pass | |