Function lecun_uniform

python/singa/initializer.py:81–94

LeCun uniform initializer. It draws samples from a uniform distribution within [-limit, limit] where `limit` is `sqrt(3 / fan_in)` where `fan_in` is the number of input units in the weight tensor. # Arguments t(Tensor):the tensor to be filled in. # References -

(t)

def lecun_uniform(t):
    """LeCun uniform initializer.

    It draws samples from a uniform distribution within [-limit, limit]
    where `limit` is `sqrt(3 / fan_in)`
    where `fan_in` is the number of input units in the weight tensor.

    # Arguments
        t(Tensor):the tensor to be filled in.

    # References
        - [Efficient BackProp](http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf)
    """
    _random_fill(t, scale=1., mode='fan_in', distribution='uniform')


def glorot_normal(t):