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-rw-r--r--resources/libraries/python/CpuUtils.py47
1 files changed, 39 insertions, 8 deletions
diff --git a/resources/libraries/python/CpuUtils.py b/resources/libraries/python/CpuUtils.py
index 842c16d7ef..e4fff010f1 100644
--- a/resources/libraries/python/CpuUtils.py
+++ b/resources/libraries/python/CpuUtils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2019 Cisco and/or its affiliates.
+# Copyright (c) 2020 Cisco and/or its affiliates.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
@@ -141,7 +141,7 @@ class CpuUtils:
@staticmethod
def cpu_slice_of_list_per_node(
node, cpu_node, skip_cnt=0, cpu_cnt=0, smt_used=False):
- """Return string of node related list of CPU numbers.
+ """Return node related subset of list of CPU numbers.
:param node: Node dictionary with cpuinfo.
:param cpu_node: Numa node number.
@@ -283,12 +283,6 @@ class CpuUtils:
dtc_is_integer = isinstance(nf_dtc, int)
if not smt_used and not dtc_is_integer:
raise RuntimeError(u"Cannot allocate if SMT is not enabled!")
- # TODO: Please reword the following todo if it is still relevant
- # TODO: Workaround as we are using physical core as main unit, we must
- # adjust number of physical dataplane cores in case of float for further
- # array referencing. As rounding method in Py2.7 and Py3.x differs, we
- # are using static mapping. This can be rewritten using flat arrays and
- # different logic (from Physical core unit to Logical core unit).
if not dtc_is_integer:
nf_dtc = 1
@@ -361,3 +355,40 @@ class CpuUtils:
nf_nodes=nf_nodes, nf_chain=nf_chain, nf_node=nf_node,
nf_mtcr=nf_mtcr, nf_dtcr=nf_dtcr, nf_dtc=nf_dtc, skip_cnt=skip_cnt
)
+
+ @staticmethod
+ def get_affinity_trex(
+ node, if1_pci, if2_pci, tg_mtc=1, tg_dtc=1, tg_ltc=1):
+ """Get affinity for T-Rex. Result will be used to pin T-Rex threads.
+
+ :param node: TG node.
+ :param if1_pci: TG first interface.
+ :param if2_pci: TG second interface.
+ :param tg_mtc: TG main thread count.
+ :param tg_dtc: TG dataplane thread count.
+ :param tg_ltc: TG latency thread count.
+ :type node: dict
+ :type if1_pci: str
+ :type if2_pci: str
+ :type tg_mtc: int
+ :type tg_dtc: int
+ :type tg_ltc: int
+ :returns: List of CPUs allocated to T-Rex including numa node.
+ :rtype: int, int, int, list
+ """
+ interface_list = [if1_pci, if2_pci]
+ cpu_node = Topology.get_interfaces_numa_node(node, *interface_list)
+
+ master_thread_id = CpuUtils.cpu_slice_of_list_per_node(
+ node, cpu_node, skip_cnt=0, cpu_cnt=tg_mtc,
+ smt_used=False)
+
+ threads = CpuUtils.cpu_slice_of_list_per_node(
+ node, cpu_node, skip_cnt=tg_mtc, cpu_cnt=tg_dtc,
+ smt_used=False)
+
+ latency_thread_id = CpuUtils.cpu_slice_of_list_per_node(
+ node, cpu_node, skip_cnt=tg_mtc + tg_dtc, cpu_cnt=tg_ltc,
+ smt_used=False)
+
+ return master_thread_id[0], latency_thread_id[0], cpu_node, threads