如何在 Pytorch 中展平“nn.Sequential”中的输入

如何展平内部的输入nn.Sequential

Model = nn.Sequential(x.view(x.shape[0],-1),
                     nn.Linear(784,256),
                     nn.ReLU(),
                     nn.Linear(256,128),
                     nn.ReLU(),
                     nn.Linear(128,64),
                     nn.ReLU(),
                     nn.Linear(64,10),
                     nn.LogSoftmax(dim=1))

您可以如下创建一个新的模块/类，并像使用其他模块一样按顺序使用它（调用Flatten()).

class Flatten(torch.nn.Module):
    def forward(self, x):
        batch_size = x.shape[0]
        return x.view(batch_size, -1)

Ref: https://discuss.pytorch.org/t/flatten-layer-of-pytorch-build-by-sequential-container/5983 https://discuss.pytorch.org/t/flatten-layer-of-pytorch-build-by-sequential-container/5983

EDIT: Flatten现在是火炬的一部分。看https://pytorch.org/docs/stable/nn.html?highlight=flatten#torch.nn.Flatten https://pytorch.org/docs/stable/nn.html?highlight=flatten#torch.nn.Flatten