Prediction-MindSpore/stock-forcast-models/exp/exp_basic.py

import mindspore
import mindspore.nn as nn
from mindspore import context

class Exp_Basic(nn.Cell):
    def __init__(self, args):
        super(Exp_Basic, self).__init__()
        self.args = args
        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:
            context.set_context(mode=context.GRAPH_MODE, device_target="GPU", device_id=str(self.args.gpu) if not self.args.use_multi_gpu else self.args.devices)
            device = mindspore.cuda_device('cuda:{}'.format(self.args.gpu))
            print('Use GPU: cuda:{}'.format(self.args.gpu))
        else:
            context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
            device = mindspore.cpu_device()
            print('Use CPU')
        return device

    def _get_data(self):
        pass

    def vali(self):
        pass

    def train(self):
        pass

    def test(self):
        pass