resnet101.py 文件源码

def __init__(self, in_size, out_size, ch, stride=1):
        super(DilatedBottleNeckA, self).__init__()
        initialW = chainer.initializers.HeNormal()

        with self.init_scope():
            self.conv1 = L.Convolution2D(
                in_size, ch, 1, stride, 0, initialW=initialW, nobias=True)
            self.bn1 = L.BatchNormalization(ch, eps=self.eps)
            self.conv2 = L.DilatedConvolution2D(
                ch, ch, 3, 1, 2, dilate=2,
                initialW=initialW, nobias=True)
            self.bn2 = L.BatchNormalization(ch, eps=self.eps)
            self.conv3 = L.Convolution2D(
                ch, out_size, 1, 1, 0, initialW=initialW, nobias=True)
            self.bn3 = L.BatchNormalization(out_size, eps=self.eps)

            self.conv4 = L.Convolution2D(
                in_size, out_size, 1, stride, 0,
                initialW=initialW, nobias=True)
            self.bn4 = L.BatchNormalization(out_size)