nimbus-eth2/nbench/reports.nim

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# beacon_chain
# Copyright (c) 2018 Status Research & Development GmbH
# Licensed and distributed under either of
# * MIT license (license terms in the root directory or at https://opensource.org/licenses/MIT).
# * Apache v2 license (license terms in the root directory or at https://www.apache.org/licenses/LICENSE-2.0).
# at your option. This file may not be copied, modified, or distributed except according to those terms.
import
# Standard library
strformat, strutils,
# Bench
bench_lab, platforms/platforms
template cpuX86(body: untyped): untyped =
when defined(i386) or defined(amd64):
body
# Reporting benchmark result
# -------------------------------------------------------
proc reportCli*(metrics: seq[Metadata], preset, flags: string) =
let name = when SupportsCPUName: cpuName() else: "(name auto-detection not implemented for this CPU family)"
echo "\nCPU: ", name
when SupportsGetTicks:
# https://blog.trailofbits.com/2019/10/03/tsc-frequency-for-all-better-profiling-and-benchmarking/
# https://www.agner.org/optimize/blog/read.php?i=838
echo "The CPU Cycle Count is indicative only. It cannot be used to compare across systems, works at your CPU nominal frequency and is sensitive to overclocking, throttling and frequency scaling (powersaving and Turbo Boost)."
const lineSep = &"""|{'-'.repeat(50)}|{'-'.repeat(14)}|{'-'.repeat(20)}|{'-'.repeat(15)}|{'-'.repeat(17)}|{'-'.repeat(26)}|{'-'.repeat(26)}|"""
echo "\n"
echo lineSep
echo &"""|{"Procedures (" & preset & ')':^50}|{"# of Calls":^14}|{"Throughput (ops/s)":^20}|{"Time (ms)":^15}|{"Avg Time (ms)":^17}|{"CPU cycles (in billions)":^26}|{"Avg cycles (in billions)":^26}|"""
echo &"""|{flags:^50}|{' '.repeat(14)}|{' '.repeat(20)}|{' '.repeat(15)}|{' '.repeat(17)}|{"indicative only":^26}|{"indicative only":^26}|"""
echo lineSep
for m in metrics:
if m.numCalls == 0:
continue
# TODO: running variance / standard deviation but the Welford method is quite costly.
# https://nim-lang.org/docs/stats.html / https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_online_algorithm
let cumulTimeMs = m.cumulatedTimeNs.float64 * 1e-6
let avgTimeMs = cumulTimeMs / m.numCalls.float64
let throughput = 1e3 / avgTimeMs
let cumulCyclesBillions = m.cumulatedCycles.float64 * 1e-9
let avgCyclesBillions = cumulCyclesBillions / m.numCalls.float64
echo &"""|{m.procName:<50}|{m.numCalls:>14}|{throughput:>20.3f}|{cumulTimeMs:>15.3f}|{avgTimeMs:>17.3f}|"""
echo lineSep
else:
const lineSep = &"""|{'-'.repeat(50)}|{'-'.repeat(14)}|{'-'.repeat(20)}|{'-'.repeat(15)}|{'-'.repeat(17)}|"""
echo "\n"
echo lineSep
echo &"""|{"Procedures (" & preset & ')':^50}|{"# of Calls":^14}|{"Throughput (ops/s)":^20}|{"Time (ms)":^15}|{"Avg Time (ms)":^17}|"""
echo &"""|{flags:^50}|{' '.repeat(14)}|{' '.repeat(20)}|{' '.repeat(15)}|{' '.repeat(17)}|"""
echo lineSep
for m in metrics:
if m.numCalls == 0:
continue
# TODO: running variance / standard deviation but the Welford method is quite costly.
# https://nim-lang.org/docs/stats.html / https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_online_algorithm
let cumulTimeMs = m.cumulatedTimeNs.float64 * 1e-6
let avgTimeMs = cumulTimeMs / m.numCalls.float64
let throughput = 1e3 / avgTimeMs
echo &"""|{m.procName:<50}|{m.numCalls:>14}|{throughput:>20.3f}|{cumulTimeMs:>15.3f}|{avgTimeMs:>17.3f}|"""
echo lineSep