Bilinear¶
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.,
... regularizer=L2Decay(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.)),
... stride=factor,
... weight_attr=w_attr,
... bias_attr=False)
>>> x = conv_up(data)