如何在Pytorch的`nn.Sequential`中变平输入

问题描述

如何展平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))

推荐答案

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

You can create a new module/class as below and use it in the sequential as you are using other modules (call Flatten()).

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

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

Flatten现在是割炬的一部分.参见 https://pytorch.org/docs/stable/nn.html?highlight = flatten#torch.nn.Flatten

Flatten is part of torch now. See https://pytorch.org/docs/stable/nn.html?highlight=flatten#torch.nn.Flatten

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