328
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Ran 07 Apr 2018 11:33PM UTC

Jobs 3

Files 12

Run time 11min

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Build # 328

Build Type

Pull #92

travis-ci

Committed by

web-flow

Commit Message

Benchmark runOnePoint()

Benchmark runOnePoint() so that a fit is actually done and there will be
variation in timing.

At the moment only the NumPy and PyTorch backends are benchmarked in the
test function as there are scaling problems with TensorFlow and the
MXNet optimizer has not been completed.

The source that is used is just repeating values to ensure
reproducibility in the CI. Poisson variations with a fixed seed could
also work, but preliminary testing shows that the NumPy optimizer, which
does not take advantage of auto differentiation, is not always able to
complete the fit at high bin values which would result in a failing test.
Of interest is that PyTorch is able to do so.

Pull Request Pull Request #92: [WIP] Add benchmarks using pytest-benchmark

Run Details

714 of 730 relevant lines covered (97.81%)

2.94 hits per line

Uncovered Existing Lines

Lines	Coverage	∆	File
6	97.28	0.07%	pyhf/__init__.py

Jobs

ID	Job ID	Ran	Files	Coverage
1	328.1	07 Apr 2018 11:33PM UTC	12	97.81	Travis Job 328.1
2	328.2	07 Apr 2018 11:34PM UTC	12	97.81	Travis Job 328.2
3	328.3	07 Apr 2018 11:44PM UTC	12	98.08	Travis Job 328.3

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