| import torch.nn as nn | |
| class FlowModel: | |
| def __init__(self): | |
| self.model = None | |
| def build_model(self): | |
| self.model = nn.Sequential( | |
| nn.Linear(28*28, 128), | |
| nn.ReLU(), | |
| nn.Linear(128, 10) | |
| ) | |
| def get_model(self): | |
| return self.model |
| import torch.nn as nn | |
| class FlowModel: | |
| def __init__(self): | |
| self.model = None | |
| def build_model(self): | |
| self.model = nn.Sequential( | |
| nn.Linear(28*28, 128), | |
| nn.ReLU(), | |
| nn.Linear(128, 10) | |
| ) | |
| def get_model(self): | |
| return self.model |