pytorch学习笔记-激活函数层

注意事项：激活函数也是来自nn模块下

import torchvision
from tensorboardX import SummaryWriter
from torch import nn
from torch.nn import ReLU
from torch.utils.data import DataLoader
from torchvision import transforms

# input = torch.tensor([[1,-0.5],
#                       [-1,3]])
#
# output = torch.reshape(input,(-1,1,2,2))
# print(output.shape)

train_set = torchvision.datasets.CIFAR10(root="datasets2",train=False,transform=transforms.ToTensor(),download=True)
train_loader = DataLoader(dataset=train_set,batch_size=64)





class zj_relu(nn.Module):
    def __init__(self) -> None:
        super().__init__()
        self.relu = ReLU()

    def forward(self,input):
        output = self.relu(input)
        return output

zj_relu_1 = zj_relu()
# output = zj_relu_1(input)
# print(output)
step = 0
writer = SummaryWriter("logs")
for data in train_loader:
    imgs,targets = data
    output = zj_relu_1(imgs)
    writer.add_images("input",imgs, step)
    writer.add_images("output",output,step)
    step += 1

writer.close()