我不明白这个错误是从哪里来的,模型的参数数量似乎是正确的,下面是我的模型:
class MancalaModel(nn.Module):
def __init__(self, n_inputs=16, n_outputs=16):
super().__init__()
n_neurons = 256
def create_block(n_in, n_out):
block = nn.ModuleList()
block.append(nn.Linear(n_in, n_out))
block.append(nn.ReLU())
return block
self.blocks = nn.ModuleList()
self.blocks.append(create_block(n_inputs, n_neurons))
for _ in range(6):
self.blocks.append(create_block(n_neurons, n_neurons))
self.actor_block = nn.ModuleList()
self.critic_block = nn.ModuleList()
for _ in range(2):
self.actor_block.append(create_block(n_neurons, n_neurons))
self.critic_block.append(create_block(n_neurons, n_neurons))
self.actor_block.append(create_block(n_neurons, n_outputs))
self.critic_block.append(create_block(n_neurons, 1))
self.apply(init_weights)
def forward(self, x):
x = self.blocks(x)
actor = F.softmax(self.actor_block(x))
critics = self.critic_block(x)
return actor, critics
然后我创建一个实例,用随机数向前传递
model = MancalaModel()
x = model(torch.rand(1, 16))
然后我得到了TypeError,说参数的数量不正确:
2 model = MancalaModel()
----> 3 x = model(torch.rand(1, 16))
4 # summary(model, (16,), device='cpu')
5
d:\environments\python\lib\site-packages\torch\nn\modules\module.py in _call_impl(self, *input, **kwargs)
725 result = self._slow_forward(*input, **kwargs)
726 else:
--> 727 result = self.forward(*input, **kwargs)
728 for hook in itertools.chain(
729 _global_forward_hooks.values(),
D:\UOM\Year3\AI & Games\KalahPlayer\agents\model_agent.py in forward(self, x)
54
55 def forward(self, x):
---> 56 x = self.blocks(x)
57 actor = F.softmax(self.actor_block(x))
58 critics = self.critic_block(x)
d:\environments\python\lib\site-packages\torch\nn\modules\module.py in _call_impl(self, *input, **kwargs)
725 result = self._slow_forward(*input, **kwargs)
726 else:
--> 727 result = self.forward(*input, **kwargs)
728 for hook in itertools.chain(
729 _global_forward_hooks.values(),
TypeError: forward() takes 1 positional argument but 2 were given
感谢您的帮助,谢谢
TL;DR} 执行} :
您正试图通过^{
forward
-这未定义。 您需要将self.blocks
转换为^{我希望您得到
NotImplementedError
,而不是这个TypeError
,因为您的self.blocks
是nn.ModuleList
类型,其forward
方法抛出NotImplementedError
。我刚刚做了一个pull request来解决这个令人困惑的问题。更新(2021年4月22日):PRwas merged。在未来的版本中,当调用
nn.ModuleList
或nn.ModuleDict
时,您应该看到NotImplementedError
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