Comments (8)
Hi,
There is the same problem in issue #1.
Please, provide information about your system and processor type there. Also, try to build image manually
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I use the CentOS system x86-64. I have tried to build it manually
but the same problem still arises
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Could you try to run a fresh image? I updated some deps, hope it'll help
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Hello, I've tried to run a new image, but it's still the same problem.
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OK, maybe you can try to start it on the local environment without docker?
Because, currently, I don't have access to any machine with x64 processor.
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Hello, I installed the new Ubuntu 20.04 lts system and built the image manually. Now there are new problems. Here are new tips.
yarn run v1.22.18
$ node build/index.js
2022-05-20 02:57:47.424656: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
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Does api work?
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I have tested that the API can be used normally.
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Related Issues (11)
- Illegal instruction (core dumped) HOT 7
- $ node build/index.js ε‘δ½δΊ HOT 2
- https://s3.amazonaws.com/nsfwdetector/nsfwjs.zip Access Denied HOT 1
- error HOT 2
- error on run with docker-compose HOT 1
- Missing volumes param in docker-compose.yml HOT 2
- model.json does not exis HOT 1
- [Feature request] A more light-weighted model HOT 3
- error Command failed with exit code 132 HOT 1
- curl: (52) Empty reply from server HOT 2
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