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Error: undefined symbol: TF_Version #34

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dutradev opened this issue Feb 10, 2020 · 1 comment
Open

Error: undefined symbol: TF_Version #34

dutradev opened this issue Feb 10, 2020 · 1 comment

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@dutradev
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dutradev commented Feb 10, 2020

Hi @jlipps and everyone
I have successfully installed appium-classifier-plugin on linux (ubuntu 19.04) in the following option 3:

  • Install it globally (npm install -g test-ai-classifier) and make sure your NODE_PATH is set to the global node_modules dir.

But I have problem with TF_Version when doing the build app demo.
Someone please help me. Thanks.

[email protected]
[email protected]
Appium 1.16.0

[HTTP] <-- POST /wd/hub/session 200 11314 ms - 1126 [HTTP] [HTTP] --> POST /wd/hub/session/a1118df1-8cc2-4372-8839-99a9b59df666/element [HTTP] {"using":"-custom","value":"ai:cart"} [debug] [W3C (a1118df1)] Calling AppiumDriver.findElement() with args: ["-custom","ai:cart","a1118df1-8cc2-4372-8839-99a9b59df666"] [debug] [BaseDriver] Find plugin 'ai' requested; will attempt to use it from 'test-ai-classifier' 2020-02-10 14:43:55.354898: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2020-02-10 14:43:55.387822: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2592000000 Hz 2020-02-10 14:43:55.388720: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x4ea8260 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2020-02-10 14:43:55.388736: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version node: symbol lookup error: /home/s1mple/.nvm/versions/node/v12.14.1/lib/node_modules/test-ai-classifier/build/Release/test-ai-classifier.node: undefined symbol: TF_Version

Screenshot from 2020-02-10 15-06-18

@3dprogramin
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@dutradev I'm running into the same issue.
Saw your post on stackoverflow too, did you found a solution for it ?

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