My Linux has 2 CPUs (16 cores per CPU). Each core has 2 threads.
CPU usage rate only 50% less if i use tf.Session(tf.ConfigProto())
CPU usage rate only 40% less if i use tf.Session(tf.ConfigProto(device_count={"CPU": 64}))
Cpu usage rate is 30-70% if i use tf.ConfigProto(device_count={"CPU": 32},
inter_op_parallelism_threads=1,
intra_op_parallelism_threads=64,
)
And in this configuration all cores are working, but the usage rate is only 30-80%
I have tested in Windows Server (1 cpu / 4 cores). Cpu usage rate is more than 90%.
what should I code can let Tensorflow use all cpu?
