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check-perf-trace.py	2.4 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
compaction-times.py	7.74 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
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failed-syscalls-by-pid.py	2.12 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
flamegraph.py	6.25 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
futex-contention.py	1.68 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
intel-pt-events.py	11.92 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
libxed.py	3.32 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
mem-phys-addr.py	2.39 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
net_dropmonitor.py	1.78 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
netdev-times.py	15.02 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
powerpc-hcalls.py	4.4 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
sched-migration.py	11.81 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
sctop.py	2.13 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
stackcollapse.py	4.3 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
stat-cpi.py	2.4 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
syscall-counts-by-pid.py	2.01 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del
syscall-counts.py	1.63 KB	-rw-r--r--	2025-04-30 20:37:30	Edit Del

Editing: stat-cpi.py (2.4 KB)

# SPDX-License-Identifier: GPL-2.0

from __future__ import print_function

data    = {}
times   = []
threads = []
cpus    = []

def get_key(time, event, cpu, thread):
    return "%d-%s-%d-%d" % (time, event, cpu, thread)

def store_key(time, cpu, thread):
    if (time not in times):
        times.append(time)

    if (cpu not in cpus):
        cpus.append(cpu)

    if (thread not in threads):
        threads.append(thread)

def store(time, event, cpu, thread, val, ena, run):
    #print("event %s cpu %d, thread %d, time %d, val %d, ena %d, run %d" %
    #      (event, cpu, thread, time, val, ena, run))

    store_key(time, cpu, thread)
    key = get_key(time, event, cpu, thread)
    data[key] = [ val, ena, run]

def get(time, event, cpu, thread):
    key = get_key(time, event, cpu, thread)
    return data[key][0]

def stat__cycles_k(cpu, thread, time, val, ena, run):
    store(time, "cycles", cpu, thread, val, ena, run);

def stat__instructions_k(cpu, thread, time, val, ena, run):
    store(time, "instructions", cpu, thread, val, ena, run);

def stat__cycles_u(cpu, thread, time, val, ena, run):
    store(time, "cycles", cpu, thread, val, ena, run);

def stat__instructions_u(cpu, thread, time, val, ena, run):
    store(time, "instructions", cpu, thread, val, ena, run);

def stat__cycles(cpu, thread, time, val, ena, run):
    store(time, "cycles", cpu, thread, val, ena, run);

def stat__instructions(cpu, thread, time, val, ena, run):
    store(time, "instructions", cpu, thread, val, ena, run);

def stat__interval(time):
    for cpu in cpus:
        for thread in threads:
            cyc = get(time, "cycles", cpu, thread)
            ins = get(time, "instructions", cpu, thread)
            cpi = 0

            if ins != 0:
                cpi = cyc/float(ins)

            print("%15f: cpu %d, thread %d -> cpi %f (%d/%d)" %
                  (time/(float(1000000000)), cpu, thread, cpi, cyc, ins))

def trace_end():
    pass
# XXX trace_end callback could be used as an alternative place
#     to compute same values as in the script above:
#
#    for time in times:
#        for cpu in cpus:
#            for thread in threads:
#                cyc = get(time, "cycles", cpu, thread)
#                ins = get(time, "instructions", cpu, thread)
#
#                if ins != 0:
#                    cpi = cyc/float(ins)
#
#                print("time %.9f, cpu %d, thread %d -> cpi %f" % (time/(float(1000000000)), cpu, thread, cpi))