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- from caffe2.python import core, workspace
- from caffe2.proto import caffe2_pb2
- import time
- SHAPE_LEN = 4096
- NUM_ITER = 1000
- GB = 1024 * 1024 * 1024
- NUM_REPLICAS = 48
- def build_net(net_name, cross_socket):
- init_net = core.Net(net_name + "_init")
- init_net.Proto().type = "async_scheduling"
- numa_device_option = caffe2_pb2.DeviceOption()
- numa_device_option.device_type = caffe2_pb2.CPU
- numa_device_option.numa_node_id = 0
- for replica_id in range(NUM_REPLICAS):
- init_net.XavierFill([], net_name + "/input_blob_" + str(replica_id),
- shape=[SHAPE_LEN, SHAPE_LEN], device_option=numa_device_option)
- net = core.Net(net_name)
- net.Proto().type = "async_scheduling"
- if cross_socket:
- numa_device_option.numa_node_id = 1
- for replica_id in range(NUM_REPLICAS):
- net.Copy(net_name + "/input_blob_" + str(replica_id),
- net_name + "/output_blob_" + str(replica_id),
- device_option=numa_device_option)
- return init_net, net
- def main():
- assert workspace.IsNUMAEnabled() and workspace.GetNumNUMANodes() >= 2
- single_init, single_net = build_net("single_net", False)
- cross_init, cross_net = build_net("cross_net", True)
- workspace.CreateNet(single_init)
- workspace.RunNet(single_init.Name())
- workspace.CreateNet(cross_init)
- workspace.RunNet(cross_init.Name())
- workspace.CreateNet(single_net)
- workspace.CreateNet(cross_net)
- for _ in range(4):
- t = time.time()
- workspace.RunNet(single_net.Name(), NUM_ITER)
- dt = time.time() - t
- print("Single socket time:", dt)
- single_bw = 4 * SHAPE_LEN * SHAPE_LEN * NUM_REPLICAS * NUM_ITER / dt / GB
- print("Single socket BW: {} GB/s".format(single_bw))
- t = time.time()
- workspace.RunNet(cross_net.Name(), NUM_ITER)
- dt = time.time() - t
- print("Cross socket time:", dt)
- cross_bw = 4 * SHAPE_LEN * SHAPE_LEN * NUM_REPLICAS * NUM_ITER / dt / GB
- print("Cross socket BW: {} GB/s".format(cross_bw))
- print("Single BW / Cross BW: {}".format(single_bw / cross_bw))
- if __name__ == '__main__':
- core.GlobalInit(["caffe2", "--caffe2_cpu_numa_enabled=1"])
- main()
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