process_unexpected_behavior experiment.bench.dnn.mobile

ck-action:process_unexpected_behavior experiment.bench.dnn.mobile (v1.0.0)
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Creation date: 2016-11-07
Source: GitHub
cID: 081173242a88bc94:b31eeaff0c340968

Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!
Sign up to be notified when artifacts are shared or updated!

Description  

This is our attempt to share automation actions and best practices as reusable Python modules with a common CLI and Python JSON API to help researchers and practitioners automate their tedious and repetitive R&D tasks.
  • Automation framework: CK
  • Workflow: crowd-benchmarking deep learning via mobile devices
  • Development repository: ck-crowdtuning
  • Source: GitHub
  • How to get the stable version via the CK client:
    pip install cbench
    cb download module:experiment.bench.dnn.mobile --version=1.0.0 --all
    ck process_unexpected_behavior experiment.bench.dnn.mobile --help
  • How to get the development version:
    pip install ck
    ck pull repo:ck-crowdtuning
    ck process_unexpected_behavior experiment.bench.dnn.mobile --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 using mobile devices
  • API Python code: Link
  • JSON API:
            "    Input:  {
                }
    
        Output: {
                  return       - return code =  0, if successful
                                             >  0, if error
                  (error)      - error text if return > 0
                }
    
    "
           

Versions  

Comments  

Please log in to add your comments!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!