Check a prototype of 2nd version of this platform
being developed by cKnowledge.org in collaboration with
MLCommons.
show experiment.bench.tensorflow
ck-action:show experiment.bench.tensorflow (v3.0.0)
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Creation date: 2016-11-09
Source: GitHub
cID: 081173242a88bc94:c088b4561e39d0e1
Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!
Creation date: 2016-11-09
Source: GitHub
cID: 081173242a88bc94:c088b4561e39d0e1
Description
- Automation framework: CK
- Development repository: ck-ml
- Source: GitHub
- How to get the stable version via the CK client:
pip install cbench
cb download module:experiment.bench.tensorflow --version=3.0.0 --all
ck show experiment.bench.tensorflow --help - How to get the development version:
pip install ck
ck pull repo:ck-ml
ck show experiment.bench.tensorflow --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 (TensorFlow)
- API Python code: Link
- JSON API:
" Input: { (crowd_module_uoa) - if rendered from experiment crowdsourcing (crowd_key) - add extra name to Web keys to avoid overlapping with original crowdsourcing HTML (crowd_on_change) - reuse onchange doc from original crowdsourcing HTML } Output: { return - return code = 0, if successful > 0, if error (error) - error text if return > 0 } "