Skip to main content

Benchmark suite tool

Project description

Documentation Status https://badge.fury.io/py/benchpress.svg

Quick Start

Fire up your terminal, and:

# Install using PyPi
pip install benchpress --user

# Make the Benchpress binaries available
export PATH=$PATH:$HOME/.local/bin

Specify what to benchmark by implementing a Python script that generates commands:

import benchpress as bp
from benchpress.suite_util import BP_ROOT

scripts = [
    ('X-ray',  'xraysim',  ["10*10*1", "20*10*1"]),
    ('Bean',   'galton_bean_machine',  ["10000*10", "20000*10"]),
]

cmd_list = []
for label, name, sizes in scripts:
    for size in sizes:
        full_label = "%s/%s" % (label, size)
        bash_cmd = "python {root}/benchmarks/{script}/python_numpy/{script}.py --size={size}" \
                    .format(root=BP_ROOT, script=name, size=size)
        cmd_list.append(bp.command(bash_cmd, full_label))

# Finally, we build the Benchpress suite, which is written to `--output`
bp.create_suite(cmd_list)

And run the script:

$ python suites/simple_example.py -o my_benchmark.json
Scheduling 'X-ray/10*10*1': 'python xraysim/python_numpy/xraysim.py --size=10*10*1'
Scheduling 'X-ray/20*10*1': 'python xraysim/python_numpy/xraysim.py --size=20*10*1'
Scheduling 'Bean/10000*10': 'python galton_bean_machine/python_numpy/galton_bean_machine.py --size=10000*10'
Scheduling 'Bean/20000*10': 'python galton_bean_machine/python_numpy/galton_bean_machine.py --size=20000*10'
Writing suite file: my_benchmark.json

The result is a JSON file results.json that encapsulate the commands that make up the benchmark suite. Now, use bp-run to run the benchmark suite:

$bp-run results.json
Executing 'X-ray/10*10*1'
Executing 'X-ray/20*10*1'
Executing 'Bean/10000*10'
Executing 'Bean/20000*10'

Finally, let’s visualize the results in ASCII:

$bp-cli results.json
X-ray/10*10*1: [0.013303, 0.013324, 0.012933] 0.0132 (0.0002)
X-ray/20*10*1: [0.108884, 0.105319, 0.105392] 0.1065 (0.0017)
Bean/10000*10: [0.002653, 0.002553, 0.002616] 0.0026 (0.0000)
Bean/20000*10: [0.005149, 0.005088, 0.005271] 0.0052 (0.0001)

Or as a bar chart:

$bp-chart results.json --output results.pdf
Writing file 'results.pdf' using format 'pdf'.
https://raw.githubusercontent.com/bh107/benchpress/master/doc/source/_static/quickstart_results.png

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

benchpress-3.0.4.post9.tar.gz (1.7 MB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page