1、问题
[root@k8s-master tensorflow]# bazel build --config=opt --verbose_failures //tensorflow:libtensorflow_cc.so
INFO: Analysed target //tensorflow:libtensorflow_cc.so (138 packages loaded, 11509 targets configured).
INFO: Found 1 target...
[10,192 / 10,400] 48 actions running
Compiling tensorflow/core/kernels/cwise_op_igammas.cc; 33s local
Compiling tensorflow/core/kernels/cwise_op_greater.cc; 33s local
Compiling tensorflow/core/kernels/cwise_op_floor_mod.cc; 33s local
Compiling tensorflow/core/kernels/cwise_op_mod.cc; 33s local
Compiling tensorflow/core/kernels/cwise_op_mul_2.cc; 33s local
Compiling tensorflow/core/kernels/cwise_op_equal_to_2.cc; 33s local
Compiling tensorflow/core/kernels/cwise_op_pow.cc; 33s local
Compiling tensorflow/core/kernels/cwise_op_bitwise_and.cc; 33s local ...
Server terminated abruptly (error code: 14, error message: 'Socket closed', log file: '/root/.cache/bazel/_bazel_root/c67f7401a5c0cf4a446e6a7f5e6a0388/server/jvm.out')
2、解决
2.1 查看是否内存问题 即交换内存
free -m 查看下
如果没有swap内存 增加开启swap内存、重启系统
2.2 因为是用的CUDA 看下GPU的温度
nvidia-smi 温度太高 需要进行降温
3、参考
【1】 编译tensorflow出现jvm out问题解决
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