【发布时间】：2018-01-21 11:04:07
【问题描述】：
训练初始模型后。在推理时我收到了这个错误。（我正在使用https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/image_retraining）
TypeError：无法将 feed_dict 键解释为张量：名称 'DecodeJpeg/contents:0' 指的是不存在的张量。这 图中不存在“DecodeJpeg/contents”操作。
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.
请帮忙，我是这个主题的新手
【问题讨论】：
-
你是使用原生 pip 还是 Anaconda 来安装 TensorFlow？
-
我正在使用 anaconda
-
你使用的是 Python 3.6 的 4.4 版吗？
-
使用 python 2.7 和 conda 4.3.22
标签： python machine-learning tensorflow computer-vision