torch.nn.init will have most of the typically use initialization methods.
For your case, try this:
nn.init.kaiming_uniform_(self.weight, a=math.sqrt(5))

# Bias
fan_in = self.in_channels * self.kernel_size * self.kernel_size
bound = 1 / math.sqrt(fan_in)
nn.init.uniform_(self.bias, -bound, bound)

References:

pytorch/conv.py at master · pytorch/pytorch · GitHub
pytorch/init.py at be281fc597485929c406515a95fac2e2fc168528 · pytorch/pytorch · GitHub 1