Bilinear

class paddle.nn.initializer. Bilinear [源代码]

该接口为参数初始化函数,用于转置卷积函数中,对输入进行上采样。用户通过任意整型因子放大 shape 为(B,C,H,W)的特征图。

返回

该参数初始化的类实例对象

代码示例

>>> import math

>>> import paddle
>>> import paddle.nn as nn
>>> from paddle.regularizer import L2Decay

>>> factor = 2
>>> C = 2
>>> B = 8
>>> H = W = 32
>>> w_attr = paddle.ParamAttr(
...     learning_rate=0.0,
...     regularizer=L2Decay(0.0),
...     initializer=nn.initializer.Bilinear(),
... )
>>> data = paddle.rand([B, 3, H, W], dtype='float32')
>>> conv_up = nn.Conv2DTranspose(
...     3,
...     out_channels=C,
...     kernel_size=2 * factor - factor % 2,
...     padding=int(math.ceil((factor - 1) / 2.0)),
...     stride=factor,
...     weight_attr=w_attr,
...     bias_attr=False,
... )
>>> x = conv_up(data)