MambaClimateNet / experiments /exp_basic.py
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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