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Unsafe use of Tensorflow and Caffe on same DeepDetect server / GPU #230
Tensorflow running call conflicts on Cuda initialization context with that of other libraries, see:
Tensorflow devs indicate that there's no solving of this in the roadmap.
Current solution: build Tensorflow backend to support CPU only (i.e. with no GPU support built-in).
I don't think sharing 1 GPU between multiple applications is generally a good idea. Given TF takes control of the device global memory allocation, and all other resources that requires exclusive access, it is better to share your GPU in some other ways, for example, time-sharing :P