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 |