报错:
RuntimeError: “max_pool2d” not implemented for ‘Long’
源码:
import torch
from torch import nn
from torch.nn import MaxPool2dinput = torch.tensor([[1, 2, 0, 3, 1],[0, 1, 2, 3, 1],[1, 2, 1, 0, 0],[5, 2, 3, 1, 1],[2, 1, 0, 1, 1]])input = torch.reshape(input, (-1, 1, 5, 5))class Tudui(nn.Module):def __init__(self):super(Tudui, self).__init__()self.maxpool1 = MaxPool2d(kernel_size=3, ceil_mode=True)def forward(self,input):output = self.maxpool1(input)return outputtudui = Tudui()
output = tudui(input)
print(output)
错误是说,max_pool2d不能操作long数据类型。也就是我们需要修改input的数据类型。
对input的tensor进行修改,增加一句
dtype=torch.float32
input = torch.tensor([[1, 2, 0, 3, 1],[0, 1, 2, 3, 1],[1, 2, 1, 0, 0],[5, 2, 3, 1, 1],[2, 1, 0, 1, 1]], dtype=torch.float32)
修改后代码:
import torch
from torch import nn
from torch.nn import MaxPool2dinput = torch.tensor([[1, 2, 0, 3, 1],[0, 1, 2, 3, 1],[1, 2, 1, 0, 0],[5, 2, 3, 1, 1],[2, 1, 0, 1, 1]], dtype=torch.float32)input = torch.reshape(input, (-1, 1, 5, 5))class Tudui(nn.Module):def __init__(self):super(Tudui, self).__init__()self.maxpool1 = MaxPool2d(kernel_size=3, ceil_mode=True)def forward(self,input):output = self.maxpool1(input)return outputtudui = Tudui()
output = tudui(input)
print(output)
运行结果:
运行结果中的数据类型都变成了float。