autotune tensorflow

ck-action:autotune tensorflow (v1.0.0)
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Creation date: 2016-11-09
Source: GitHub
cID: 081173242a88bc94:f5208f3043128b52

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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: TensorFlow front-end
  • Development repository: ck-tensorflow
  • Source: GitHub
  • How to get the stable version via the CK client:
    pip install cbench
    cb download module:tensorflow --version=1.0.0 --all
    ck autotune tensorflow --help
  • How to get the development version:
    pip install ck
    ck pull repo:ck-tensorflow
    ck autotune 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: TensorFlow CK front-end
  • API Python code: Link
  • JSON API:
            "    Input:  {
                }
    
        Output: {
                  return       - return code =  0, if successful
                                             >  0, if error
                  (error)      - error text if return > 0
                }
    
    "
           

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