NN.DROPOUTCLASStorch.nn.Dropout(p=0.5, inplace=False)Parametersp (float) – probability of an element to be zeroed. Default: 0.5inplace (bool) – If set to True, will do this operation in-place. Default: FalseShape:Input: (∗)(∗). Input can be of any shap...
Saving and loading models for inference in PyTorchThere are two approaches for saving and loading models for inference in PyTorch.The first is saving and loading the state_dictand the second is saving and loading the entire model. def state_dict(self, ...
train# 实例化一个模型,在模型后调用.train(True),说明我们将该模型设置为训练模式
def train(self: T, mode: bool = True) -> T:
r"""Sets the module in training mode.
This has any effect only on certain modules. See documentations of
particular modules for...
Save and Load the ModelPyTorch models store the learned parameters in an internal state dictionary, called state_dict. These can be persisted via the torch.save method:model = models.vgg16(weights='IMAGENET1K_V1')
# 保存模型的参数、优化器状态、batch_nomalization、dro...
