pytorch中nn.Conv1d的用法详解

class CNN1d(nn.Module):

  def __init__(self):
    super(CNN1d,self).__init__()
    self.layer1 = nn.Sequential(
          nn.Conv1d(1,100,2),
          nn.BatchNorm1d(100),
          nn.ReLU(),
          nn.MaxPool1d(8))
    self.layer2 = nn.Sequential(
          nn.Conv1d(100,50,2),
          nn.BatchNorm1d(50),
          nn.ReLU(),
          nn.MaxPool1d(8))
    self.fc = nn.Linear(300,6)
  def forward(self,x):
    #input.shape:(16,1,425)
    out = self.layer1(x)
    out = out.view(out.size(0),-1)
    out = self.fc(out)
    return out