torch.nn.MSELoss

torch.nn.MSELoss是一个PyTorch库中的类，用于计算均方误差损失函数。通过比较两个输入参数的差异并计算其平方的平均值，来衡量模型预测值和真实值之间的距离。在定义类的对象时不需要传入任何参数，但在使用实例时需要输入两个维度相同的参数进行计算。举例如下：

import torch as t
loss_f = t.nn.MSELoss()
x = t.randn(100, 100)
y = t.randn(100, 100)
loss = loss_f(x, y)
print(loss)

这个例子中，我们创建了一个MSELoss类的对象loss_f，然后生成了两个100x100的随机张量x和y。接下来，我们使用loss_f计算了x和y之间的均方误差损失值，并将结果存储在变量loss中进行打印。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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