Uniform¶

class paddle.nn.initializer. Uniform ( low=- 1.0, high=1.0, name=None ) [source]

The random uniform distribution initializer.

Parameters

• low (float, optional) – lower boundary of the uniform distribution. The default value is -1.0.

• high (float, optional) – upper boundary of the uniform distribution. The default value is 1.0.

• name (str, optional) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to Name.

Returns

A parameter initialized by random uniform 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.Uniform(low=-0.5, high=0.5))
bias_attr = paddle.framework.ParamAttr(
    name="linear_bias",
    initializer=paddle.nn.initializer.Uniform(low=-0.5, high=0.5))
linear = paddle.nn.Linear(2, 2, weight_attr=weight_attr, bias_attr=bias_attr)
# linear.weight:  [[-0.46245047  0.05260676]
#                  [ 0.38054508  0.29169726]]
# linear.bias:  [-0.2734719   0.23939109]

res = linear(data)
# res:  [[[-0.3553773  0.5836951]]
#        [[-0.3553773  0.5836951]]
#        [[-0.3553773  0.5836951]]]