mzhukova commented on issue #12710: Subprocess Deadlock with mxnet-mkl URL: https://github.com/apache/incubator-mxnet/issues/12710#issuecomment-439246209 Hi @fhieber , So, the MKL indeed uses OpenMP threading in this case, which is the root cause of the hang that you observe. numpy can be forced to use sequential or tbb threading by corresponding MKL_THREADING_LAYER settings. However, as mxnet uses libmklml which support only intel_thread, the good option here will be to use this workaround KMP_INIT_AT_FORK=false. You can also check version and may be try to update the intel-openmp, as this issue can be already fixed in one of the latest releases. Best regards, Maria
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