2017-09-29 13 views
0

私はKerasライブラリで作業していますが、VGG16モデルを初期化しようとしていますが、このグラフの要素ではないすべての入力についてエラーが発生しています。私はTensorflowバックエンドを使用しています。ValueError:フェッチ引数<tf.Operation 'init_8' type = NoOp>はテンソルとして解釈できません。

入力:

from keras.applications.vgg16 import VGG16 

model = VGG16() 

出力:私はオープン引っ張らVGG16コードとドキュメントがkeras設定JSONに含ま

"image_data_format": "channels_last"

を有する上述

runfile('C:/Users/joshu/Documents/Code/Testing/vgg_tester.py', wdir='C:/Users/joshu/Documents/Code/Testing') Traceback (most recent call last):

File "", line 1, in runfile('C:/Users/joshu/Documents/Code/Testing/vgg_tester.py', wdir='C:/Users/joshu/Documents/Code/Testing')

File "C:\Users\joshu\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 880, in runfile execfile(filename, namespace)

File "C:\Users\joshu\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile exec(compile(f.read(), filename, 'exec'), namespace)

File "C:/Users/joshu/Documents/Code/Testing/vgg_tester.py", line 11, in model = VGG16()

File "C:\Users\joshu\Anaconda3\lib\site-packages\keras\applications\vgg16.py", line 163, in VGG16 model.load_weights(weights_path)

File "C:\Users\joshu\Anaconda3\lib\site-packages\keras\engine\topology.py", line 2708, in load_weights self.load_weights_from_hdf5_group(f)

File "C:\Users\joshu\Anaconda3\lib\site-packages\keras\engine\topology.py", line 2794, in load_weights_from_hdf5_group K.batch_set_value(weight_value_tuples)

File "C:\Users\joshu\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 1860, in batch_set_value get_session().run(assign_ops, feed_dict=feed_dict)

File "C:\Users\joshu\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 121, in get_session _initialize_variables()

File "C:\Users\joshu\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 273, in _initialize_variables sess.run(tf.variables_initializer(uninitialized_variables))

File "C:\Users\joshu\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 778, in run run_metadata_ptr)

File "C:\Users\joshu\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 969, in _run fetch_handler = _FetchHandler(self._graph, fetches, feed_dict_string)

File "C:\Users\joshu\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 408, in init self._fetch_mapper = _FetchMapper.for_fetch(fetches)

File "C:\Users\joshu\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 238, in for_fetch return _ElementFetchMapper(fetches, contraction_fn)

File "C:\Users\joshu\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 274, in init 'Tensor. (%s)' % (fetch, str(e)))

ValueError: Fetch argument cannot be interpreted as a Tensor. (Operation name: "init_11" op: "NoOp" input: "^block1_conv1_W_8/Assign" input: "^block1_conv1_b_8/Assign" input: "^block1_conv2_W_8/Assign" input: "^block1_conv2_b_8/Assign" input: "^block2_conv1_W_8/Assign" input: "^block2_conv1_b_8/Assign" input: "^block2_conv2_W_8/Assign" input: "^block2_conv2_b_8/Assign" input: "^block3_conv1_W_8/Assign" input: "^block3_conv1_b_8/Assign" input: "^block3_conv2_W_8/Assign" input: "^block3_conv2_b_8/Assign" input: "^block3_conv3_W_8/Assign" input: "^block3_conv3_b_8/Assign" input: "^block4_conv1_W_8/Assign" input: "^block4_conv1_b_8/Assign" input: "^block4_conv2_W_8/Assign" input: "^block4_conv2_b_8/Assign" input: "^block4_conv3_W_8/Assign" input: "^block4_conv3_b_8/Assign" input: "^block5_conv1_W_8/Assign" input: "^block5_conv1_b_8/Assign" input: "^block5_conv2_W_8/Assign" input: "^block5_conv2_b_8/Assign" input: "^block5_conv3_W_8/Assign" input: "^block5_conv3_b_8/Assign" input: "^fc1_W_4/Assign" input: "^fc1_b_4/Assign" input: "^fc2_W_4/Assign" input: "^fc2_b_4/Assign" input: "^predictions_W_4/Assign" input: "^predictions_b_4/Assign" input: "^cond_153/switch_f" is not an element of this graph.)

答えて

0

ファイル。それを追加することで問題が解決されたようです。

こととの違いわからない:

"image_dim_ordering": "tf"

が、両方が動作するように見えました。

+0

データ形式はNHWCおよびNCHWと異なる場合があります。https://www.tensorflow.org/performance/performance_guide – LKT

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