python - 类型错误 : conv2d_v2() got an unexpected keyword argument 'filter

Question

试图在我的设备上使用预训练的 VGG 模型运行 Coursera 类(class)中的代码。 运行模型时出现此错误。这是一个关于使用 VGG 模型的预训练模型的神经风格迁移的问题。

pp = pprint.PrettyPrinter(indent=4)
model = load_vgg_model("pretrained-model/imagenet-vgg-verydeep-19.mat")
pp.pprint(model)

TypeError                                 Traceback (most recent call last)
<ipython-input-7-2a76ad487818> in <module>
      1 pp = pprint.PrettyPrinter(indent=4)
----> 2 model = load_vgg_model("pretrained-model/imagenet-vgg-verydeep-19.mat")
      3 pp.pprint(model)

D:\College\Machine learning\Coursera\c4\jovyan\work\week4\Neural Style Transfer\nst_utils.py in load_vgg_model(path)
    127     graph = {}
    128     graph['input']   = tf.Variable(np.zeros((1, CONFIG.IMAGE_HEIGHT, CONFIG.IMAGE_WIDTH, CONFIG.COLOR_CHANNELS)), dtype = 'float32')
--> 129     graph['conv1_1']  = _conv2d_relu(graph['input'], 0, 'conv1_1')
    130     graph['conv1_2']  = _conv2d_relu(graph['conv1_1'], 2, 'conv1_2')
    131     graph['avgpool1'] = _avgpool(graph['conv1_2'])

D:\College\Machine learning\Coursera\c4\jovyan\work\week4\Neural Style Transfer\nst_utils.py in _conv2d_relu(prev_layer, layer, layer_name)
    116         model at 'layer'.
    117         """
--> 118         return _relu(_conv2d(prev_layer, layer, layer_name))
    119 
    120     def _avgpool(prev_layer):

D:\College\Machine learning\Coursera\c4\jovyan\work\week4\Neural Style Transfer\nst_utils.py in _conv2d(prev_layer, layer, layer_name)
    109         W = tf.constant(W)
    110         b = tf.constant(np.reshape(b, (b.size)))
--> 111         return tf.nn.conv2d(prev_layer, strides=[1, 1, 1, 1], padding='SAME') + b
    112 
    113     def _conv2d_relu(prev_layer, layer, layer_name):

D:\Applications\Anaconda\lib\site-packages\tensorflow\python\util\dispatch.py in wrapper(*args, **kwargs)
    199     """Call target, and fall back on dispatchers if there is a TypeError."""
    200     try:
--> 201       return target(*args, **kwargs)
    202     except (TypeError, ValueError):
    203       # Note: convert_to_eager_tensor currently raises a ValueError, not a

TypeError: conv2d_v2() got an unexpected keyword argument 'filter'

这是我加载模型的函数。

def load_vgg_model(path):
   
    vgg = scipy.io.loadmat(path)

    vgg_layers = vgg['layers']

    def _conv2d(prev_layer, layer, layer_name):

        W, b = _weights(layer, layer_name)
        W = tf.constant(W)
        b = tf.constant(np.reshape(b, (b.size)))
        return tf.nn.conv2d(prev_layer, filter=W, strides=[1, 1, 1, 1], padding='SAME') + b

    def _conv2d_relu(prev_layer, layer, layer_name):

        return _relu(_conv2d(prev_layer, layer, layer_name))

我很困惑，因为同一模型可以在 Coursera 上运行，但不能在我的 PC 上运行。

Answer 1

关于卷积神经网络的 Coursera 类(class)使用 TensorFlow 1.2.1

我今天尝试在 Google Collab 上运行此笔记本时遇到了同样的错误。

我的解决方案是:

pip uninstall tensorflow==2.3.0

pip install tensorflow==1.2.1