我之前用一段代码进行图像聚类，运行得很好。
import tensorflow.compat.v1 as tftf.disable_v2_behavior()config = tf.ConfigProto()config.gpu_options.allow_growth = Truesess = tf.Session(config=config)import osimport kerasfrom keras.preprocessing import imagefrom keras.applications.imagenet_utils import decode_predictions, preprocess_inputfrom keras.models import Modeldef get_pca_fingerprint(images): # 为每张图像获取VGG-16指纹 # 我们将使用预训练的网络并让每张图像通过网络 # 我们将提取最后一层的特征向量。 # 这本质上是一个描述图像的指纹。 # 这个指纹用于执行聚类。 model = keras.applications.VGG16(weights='imagenet', include_top=True) feat_extractor = Model(inputs=model.input, outputs=model.get_layer("fc2").output) tic = time.clock() features = [] for i, image_path in enumerate(images): if i % 500 == 0: toc = time.clock() elap = toc-tic; print("正在分析第 %d / %d 张图像。时间：%4.4f 秒。" % (i, len(images),elap)) tic = time.clock() img, x = load_image(image_path); feat = feat_extractor.predict(x)[0] features.append(feat) print('已完成提取 %d 张图像的特征' % len(images)) max_comp = 300 if len(list(images)) < max_comp: max_comp=5 features = np.array(features) pca = PCA(n_components=max_comp) pca.fit(features) pca_features = pca.transform(features) return pca_features然而，某一天代码突然无法运行了：
AttributeError: module 'keras.applications' has no attribute 'VGG16'我尝试将代码改为使用tf.keras.applications.VGG16，但随后出现了一大堆新的错误，我无法解决：
FailedPreconditionError Traceback (most recent call last)<ipython-input-28-e0d4bda5e849> in <module>() 2 #the variable 'images' should be a list with all the paths to the images now 3 model = tf.keras.applications.VGG16(weights='imagenet', include_top=True)----> 4 pca_fingerprints = get_pca_fingerprint(images)5 frames<ipython-input-27-151877a5d62b> in get_pca_fingerprint(images) 46 tic = time.clock() 47 img, x = load_image(image_path);---> 48 feat = feat_extractor.predict(x)[0] 49 features.append(feat) 50 /usr/local/lib/python3.7/dist-packages/keras/engine/training_v1.py in predict(self, x, batch_size, verbose, steps, callbacks, max_queue_size, workers, use_multiprocessing) 978 max_queue_size=max_queue_size, 979 workers=workers,--> 980 use_multiprocessing=use_multiprocessing) 981 982 def reset_metrics(self):/usr/local/lib/python3.7/dist-packages/keras/engine/training_arrays_v1.py in predict(self, model, x, batch_size, verbose, steps, callbacks, **kwargs) 703 verbose=verbose, 704 steps=steps,--> 705 callbacks=callbacks)/usr/local/lib/python3.7/dist-packages/keras/engine/training_arrays_v1.py in model_iteration(model, inputs, targets, sample_weights, batch_size, epochs, verbose, callbacks, val_inputs, val_targets, val_sample_weights, shuffle, initial_epoch, steps_per_epoch, validation_steps, validation_freq, mode, validation_in_fit, prepared_feed_values_from_dataset, steps_name, **kwargs) 374 375 # Get outputs.--> 376 batch_outs = f(ins_batch) 377 if not isinstance(batch_outs, list): 378 batch_outs = [batch_outs]/usr/local/lib/python3.7/dist-packages/keras/backend.py in __call__(self, inputs) 4018 4019 fetched = self._callable_fn(*array_vals,-> 4020 run_metadata=self.run_metadata) 4021 self._call_fetch_callbacks(fetched[-len(self._fetches):]) 4022 output_structure = tf.nest.pack_sequence_as(/usr/local/lib/python3.7/dist-packages/tensorflow/python/client/session.py in __call__(self, *args, **kwargs) 1480 ret = tf_session.TF_SessionRunCallable(self._session._session, 1481 self._handle, args,-> 1482 run_metadata_ptr) 1483 if run_metadata: 1484 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)FailedPreconditionError: 2 root error(s) found. (0) Failed precondition: Could not find variable fc1_15/kernel. This could mean that the variable has been deleted. In TF1, it can also mean the variable is uninitialized. Debug info: container=localhost, status=Not found: Container localhost does not exist. (Could not find resource: localhost/fc1_15/kernel) [[{{node fc1_15/MatMul/ReadVariableOp}}]] [[fc2_15/Relu/_27]] (1) Failed precondition: Could not find variable fc1_15/kernel. This could mean that the variable has been deleted. In TF1, it can also mean the variable is uninitialized. Debug info: container=localhost, status=Not found: Container localhost does not exist. (Could not find resource: localhost/fc1_15/kernel) [[{{node fc1_15/MatMul/ReadVariableOp}}]]0 successful operations.0 derived errors ignored.我尝试调试但没有成功。谁能帮我解决这个问题？
回答：
我改用了TF2而不是禁用v2行为，这解决了问题
改为
