How I could initialize the kernels of a convolution layer in pytorch? e.g. He initialization 13
In Keras It’s as simple as
y = Conv1D(..., kernel_initializer='he_uniform')(x)

But looking the signature of Conv1d in pytorch I don’t see such a parameter
torch.nn.Conv1d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True)

What is the appropriate way to get similar behavior in pytorch?