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doc: written a quick start guide
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madsbk committed Apr 27, 2017
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58 changes: 58 additions & 0 deletions README.rst
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Expand Up @@ -13,3 +13,61 @@ 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 --output 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'.

.. image:: https://raw.githubusercontent.com/bh107/benchpress/master/doc/source/_static/quickstart_results.png

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2 changes: 0 additions & 2 deletions doc/source/index.rst
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Expand Up @@ -15,8 +15,6 @@ Contents:
| quickstart | |
| install | |
| usage_commands | benchmarks |
| usage_examples | |
| usage_suites | |
| implementing | |
| reference/index | |
+------------------------------+------------------------------+
2 changes: 1 addition & 1 deletion doc/source/install.rst
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Expand Up @@ -14,7 +14,7 @@ The following shows how to do a user-mode / local installation::

pip install benchpress --user

Extend your ``$PATH``, such that the commands (`bp-run`, `bp-run`, `bp-cli`, `bp-chart`) are readily available::
Extend your ``$PATH``, such that the binaries (`bp-run`, `bp-run`, `bp-cli`, `bp-chart`) are readily available::

export PATH=$PATH:$HOME/.local/bin

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98 changes: 0 additions & 98 deletions doc/source/usage_examples.rst

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5 changes: 0 additions & 5 deletions doc/source/usage_suites.rst

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18 changes: 18 additions & 0 deletions suites/simple_example.py
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@@ -0,0 +1,18 @@
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)

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