layers.py 文件源码

def separable_act_conv_bn(x, filters, size, strides=(1, 1), padding='same',
        name=None):
    if name is not None:
        conv_name = name + '_conv'
        act_name = name + '_act'
    else:
        conv_name = None
        act_name = None

    x = Activation('relu', name=act_name)(x)
    x = SeparableConv2D(filters, size, strides=strides, padding=padding,
            use_bias=False, name=conv_name)(x)
    x = BatchNormalization(axis=-1, scale=False, name=name)(x)
    return x