graph - Tensorflow: executing an ops with a specific core of a CPU

Question

It is currently possible to specify which CPU or GPU to use with the tf.device(...) function for specific ops, but is there anyway where you can specify a core of a CPU?

Answer 1

There's no API for pinning ops to a particular core at present, though this would make a good feature request. You could approximate this functionality by creating multiple CPU devices, each with a single-threaded threadpool, but this isn't guaranteed to maintain the locality of a core-pinning solution:

with tf.device("/cpu:4"):
  # ...

with tf.device("/cpu:7"):
  # ...

with tf.device("/cpu:0"):
  # ...

config = tf.ConfigProto(device_count={"CPU": 8},
                        inter_op_parallelism_threads=1,
                        intra_op_parallelism_threads=1)
sess = tf.Session(config=config)