As if right now I am in a bit of a rush to get an answer to my problem. The model has been trained and the server works locally with the NN running in the background, but on the server we get the following error message:
2020-04-08 11:54:15.787274: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2799865000 Hz 2020-04-08 11:54:15.787801: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x4b5ca00 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2020-04-08 11:54:15.787830: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version terminate called after throwing an instance of 'std::system_error' what(): Resource temporarily unavailable
It seems that the server host doesn't like the fact that Tensorflow is trying to log the following error/warning message:
2020-04-08 11:53:42.453164: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
Is there a way in JS to disable these error logs so we can run the trained model on the server? Thanks in advance!