def init_conv_w(shape):
    input_n = np.prod(shape[1:])
    std = 1./np.sqrt(input_n)
    return np.random.normal(0, std, shape)
Initialize convolution layer's weights like torch's linear default
dataset/ETHPy150Open dnlcrl/PyFunt/pyfunt/layers/init.py/init_conv_w