tools/perf/scripts/python/stat-cpi.py

Source file repositories/reference/linux-study-clean/tools/perf/scripts/python/stat-cpi.py

File Facts

System
Linux kernel
Corpus path
tools/perf/scripts/python/stat-cpi.py
Extension
.py
Size
2444 bytes
Lines
80
Domain
Support Tooling And Documentation
Bucket
tools
Inferred role
Support Tooling And Documentation: tools
Status
atlas-only

Why This File Exists

Repository support layer: documentation, build tooling, samples, user-space helper tools, generated initramfs support, licenses, and validation utilities.

Dependency Surface

Detected Declarations

Annotated Snippet

# 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:

Annotation

Implementation Notes