model.load_state_dicttorch.load
时间: 2023-08-28 10:16:28 浏览: 53
这不是一个问题,而是两个Python函数的调用。
`torch.load` 函数用于从磁盘读取已保存的PyTorch模型。它的用法是:
```python
model_state_dict = torch.load(PATH)
```
其中,`PATH`是已保存模型的文件路径。`torch.load`函数会返回模型的状态字典(`state_dict`)。
`model.load_state_dict`函数则是用于将模型的状态字典加载到一个已定义的模型中。它的用法是:
```python
model = ModelClass(*args, **kwargs)
model.load_state_dict(torch.load(PATH))
```
其中,`ModelClass`是已定义的模型类,`*args`和`**kwargs`是传递给模型类的参数。`model.load_state_dict`函数会将已保存的模型权重加载到新建的模型实例中。
相关问题
model.load_state_dict
()This method is used to load the state dictionary of a PyTorch model from a previously saved checkpoint. The state dictionary represents the current state of the model's parameters and optimizer.
To use this method, one must have a saved checkpoint file containing the state dictionary. This file can be loaded using the `torch.load()` method. Once loaded, the state dictionary can be passed to the `load_state_dict()` method to update the model's parameters.
Here is an example of loading a saved checkpoint file and updating the model's state dictionary:
```
checkpoint = torch.load('checkpoint.pth')
model.load_state_dict(checkpoint['state_dict'])
```
In this example, the saved checkpoint file is loaded using `torch.load()` and the state dictionary is extracted using the key `state_dict`. This state dictionary is then passed to the `load_state_dict()` method to update the model's parameters.
model.load.state_dict
model.load_state_dict是PyTorch中用于加载预训练模型参数的函数。它将保存在文件中的模型参数加载到模型中,以便可以在新的数据集上进行微调或进行推理。该函数需要传入一个state_dict参数,它是一个Python字典对象,其中包含了模型的所有参数。通过调用model.load_state_dict(state_dict)函数,可以将这些参数加载到模型中。如果模型结构与保存的参数不匹配,将会抛出一个错误。为了避免这种情况,可以将strict参数设置为False,这样在加载参数时,不会检查模型结构是否匹配。