经过训练的初始模型。在推断时，我收到此错误。(我正在使用https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/image_retraining)
omer@omer-HP-EliteBook-8540w:~/Downloads/tensorflow-
master/tensorflow/examples/image_retraining$ python label_image.py --graph=/tmp/output_graph.pb --labels=/tmp/output_labels.txt --image=/home/omer/Downloads/tensorflow-master/tensorflow/examples/image_retraining/pwd/glass/glass52.jpg --output_layer=final_result
2017-08-13 17:10:05.642446: W
tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow
library wasn't compiled to use SSE4.1 instructions, but these are
available on your machine and could speed up CPU computations.
2017-08-13 17:10:05.642507: W
tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow
library wasn't compiled to use SSE4.2 instructions, but these are
available on your machine and could speed up CPU computations.
Traceback (most recent call last):
File "retraining-example.py", line 86, in <module>
run_inference_on_image()
File "retraining-example.py", line 69, in run_inference_on_image
{'DecodeJpeg/contents:0': image_data})
File "/home/omer/installed/acaconda2/lib/python2.7/site-
packages/tensorflow/python/client/session.py", line 778, in run
run_metadata_ptr)
File "/home/omer/installed/acaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 933, in _run
+ e.args[0])
TypeError: Cannot interpret feed_dict key as Tensor: The name
'DecodeJpeg/contents:0' refers to a Tensor which does not exist. The
operation, 'DecodeJpeg/contents', does not exist in the graph.
请帮助，我是这个学科的新手
最佳答案
Google已将其retrain.py更新为image_retraining。他们删除了op:DecodeJpeg，所以您无法获取它。
关于python - 名称 'DecodeJpeg/contents:0'表示不存在的张量，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/45660439/