NormalInitializer¶

class paddle.fluid.initializer. NormalInitializer ( loc=0.0, scale=1.0, seed=0 ) [source]

Implements the Random Normal(Gaussian) distribution initializer

Parameters

loc (float) – mean of the normal distribution
scale (float) – standard deviation of the normal distribution
seed (int) – random seed

Examples

           import paddle.fluid as fluid
x = fluid.data(name="data", shape=[None, 32, 32], dtype="float32")
fc = fluid.layers.fc(input=x, size=10,
    param_attr=fluid.initializer.Normal(loc=0.0, scale=2.0))

          

forward ( var, block=None ) forward¶

Initialize the input tensor with Normal distribution.

Parameters

var (Tensor) – Tensor that needs to be initialized.
block (Block, optional) – The block in which initialization ops should be added. Used in static graph only, default None.

Returns

The initialization op