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process_results experiment.bench.dnn.desktop
ck-action:process_results experiment.bench.dnn.desktop (v1.0.0)
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Creation date: 2017-04-20
Source: GitHub
cID: 081173242a88bc94:6f841924a2a9087c
Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!
Creation date: 2017-04-20
Source: GitHub
cID: 081173242a88bc94:6f841924a2a9087c
Description
- Automation framework: CK
- Development repository: ck-crowdsource-dnn-optimization
- Source: GitHub
- How to get the stable version via the CK client:
pip install cbench
cb download module:experiment.bench.dnn.desktop --version=1.0.0 --all
ck process_results experiment.bench.dnn.desktop --help - How to get the development version:
pip install ck
ck pull repo --url=https://github.com/dividiti/ck-crowdsource-dnn-optimization
ck process_results experiment.bench.dnn.desktop --help
- How to run from Python:
import ck.kernel as ck
r=ck.access({'action':'',
'module_uoa':'',
... See JSON API below ...
})
if r['return']>0: return r
...
- Module description: crowd-benchmark DNN libraries and models (training - on-going)
- API Python code: Link
- JSON API:
" Input: { (dict) - results: {'meta': meta about platform, model, DNN engine, dataset, etc 'results': results} } Output: { return - return code = 0, if successful > 0, if error (error) - error text if return > 0 } "