我正在 Google Collab 上的 MobileNetv2 预训练模型上构建迁移学习模型。直到昨天，一切都很好。但是，今天，在执行
#Create the base model(feature_extractor) from the pre-trained model MobileNet V2
_URL = "https://tfhub.dev/google/tf2-preview/mobilenet_v2/feature_vector/2"
feature_extractor = hub.KerasLayer(_URL, input_shape=(_TARGET_SIZE, _TARGET_SIZE,3))
我收到错误：
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AttributeError Traceback (most recent call last)
<ipython-input-29-663d4cbb70df> in <module>()
2 _TARGET_SIZE = 224
3 _URL = "https://tfhub.dev/google/tf2-preview/mobilenet_v2/feature_vector/2"
----> 4 feature_extractor = hub.KerasLayer(_URL, input_shape=(_TARGET_SIZE, _TARGET_SIZE,3))
5 #print(feature_extractor._layers)
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py in _variable_handle_from_shape_and_dtype(shape, dtype, shared_name, name, graph_mode, initial_value)
165 handle_data = cpp_shape_inference_pb2.CppShapeInferenceResult.HandleData()
166 handle_data.is_set = True
--> 167 handle_data.shape_and_type.append(
168 cpp_shape_inference_pb2.CppShapeInferenceResult.HandleShapeAndType(
169 shape=shape.as_proto(), dtype=dtype.as_datatype_enum))
AttributeError: 'google.protobuf.pyext._message.RepeatedCompositeCo' object has …有没有办法找到我的 NVIDIA Jetson Xavier AGX 套件上当前安装的 JetPack 版本？