File "D:/HBISHE/04/105/SRGAN/light2.py", line 11, in <module> name='weight' TypeError: __init__() got an unexpected keyword argument 'name'
时间: 2024-02-13 14:01:09 浏览: 27
这个错误提示是因为你使用的`prune.L1Unstructured`函数不支持`name`参数。在PyTorch 1.4.0中,`prune.L1Unstructured`函数的参数列表如下:
```python
class torch.nn.utils.prune.L1Unstructured(*args, **kwargs)
```
可以看到,`L1Unstructured`函数没有`name`参数,因此会报错。如果要对指定的层进行剪枝,可以使用`prune.l1_unstructured`函数,其参数列表如下:
```python
def prune.l1_unstructured(module, name, amount):
```
其中,`module`参数指定要进行剪枝的层,`name`参数指定要剪枝的参数名称,如`weight`或`bias`,`amount`参数指定要保留的权重比例。例如:
```python
import torch.nn.utils.prune as prune
module = model.conv1
prune.l1_unstructured(module, name='weight', amount=0.2)
```
这样就可以对模型中的`conv1`层的权重进行剪枝,保留80%的权重。
相关问题
Traceback (most recent call last): File "D:/HBISHE/04/105/SRGAN/test2.py", line 25, in <module> print(str(torch.nn.Module.state_dict())) TypeError: state_dict() missing 1 required positional argument: 'self'
这个错误提示是因为你调用了 `torch.nn.Module.state_dict()` 方法,但是它需要一个参数 `self`,也就是要求在一个 `nn.Module` 的实例上调用此方法。
可能你的代码中没有正确实例化一个 `nn.Module` 对象,或者没有将你的网络模型继承自 `nn.Module`,所以 Python 解释器无法确定 `self` 的引用。你需要在调用 `state_dict()` 方法之前,先实例化你的网络模型并将其继承自 `nn.Module`,例如:
```python
import torch
import torch.nn as nn
class MyModel(nn.Module):
def __init__(self):
super(MyModel, self).__init__()
# 定义你的网络结构
def forward(self, x):
# 定义前向传播逻辑
return x
model = MyModel()
state_dict = model.state_dict()
print(state_dict)
```
这样就可以正常打印出模型的状态字典了。
File "D:/elevator_project/venv/elavator_door.py", line 29, in <module> for line in lines: TypeError: 'NoneType' object is not iterable
This error occurs when you try to iterate over a variable that has a value of `None`. In this case, it seems like the variable `lines` is not being assigned a value properly.
To resolve this error, you should check where `lines` is being assigned a value and make sure that it is not `None`. You could also add a check to ensure that `lines` has a value before trying to iterate over it. For example:
```
if lines is not None:
for line in lines:
# process each line
else:
# handle the case where lines is None
```