resnet50.py 文件源码

def __init__(self, in_size, ch, out_size, stride=2):
        super(BottleNeckA, self).__init__()
        w = initializers.HeNormal()

        with self.init_scope():
            self.conv1 = L.Convolution2D(in_size, ch, 1, stride, 0,
                                         initialW=w, nobias=True)
            self.conv2 = L.Convolution2D(ch, ch, 3, 1, 1,
                                         initialW=w, nobias=True)
            self.conv3 = L.Convolution2D(ch, out_size, 1, 1, 0,
                                         initialW=w, nobias=True)
            self.conv4 = L.Convolution2D(in_size, out_size, 1, stride, 0,
                                         initialW=2, nobias=True)
            self.bn1 = L.BatchNormalization(ch)
            self.bn2 = L.BatchNormalization(ch)
            self.bn3 = L.BatchNormalization(out_size)
            self.bn4 = L.BatchNormalization(out_size)