TruncatedNormal¶

class paddle.nn.initializer. TruncatedNormal ( mean=0.0, std=1.0, name=None ) [source]

The truncated normal distribution (Gaussian distribution) initializer.

Parameters

• mean (float, optional) – Mean of the normal distribution. Default is \(0.0\).

• std (float, optional) – Standard deviation of the normal distribution. Default is \(1.0\).

• name (str, optional) – For details, please refer to Name. Generally, no setting is required. Default: None.

Returns

A parameter initialized by truncated normal distribution (Gaussian distribution).

Examples

import paddle

data = paddle.ones(shape=[3, 1, 2], dtype='float32')
weight_attr = paddle.framework.ParamAttr(
    name="linear_weight",
    initializer=paddle.nn.initializer.TruncatedNormal(mean=0.0, std=2.0))
bias_attr = paddle.framework.ParamAttr(
    name="linear_bias",
    initializer=paddle.nn.initializer.TruncatedNormal(mean=0.0, std=2.0))
linear = paddle.nn.Linear(2, 2, weight_attr=weight_attr, bias_attr=bias_attr)
# linear.weight:  [[-1.0981836  1.4140984]
#                  [ 3.1390522 -2.8266568]]
# linear.bias:  [-2.1546738 -1.6570673]

res = linear(data)
# res:  [[[-0.11380529 -3.0696259 ]]
#        [[-0.11380529 -3.0696259 ]]
#        [[-0.11380529 -3.0696259 ]]