replay program.optimization
Component: cr-action:replay program.optimization (v1.0.0)
Added by: gfursin (2019-10-16 07:56:43)
Authors: Grigori Fursin
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Source: GitHub
Creation date: 2015-12-31 17:14:32
CID: 081173242a88bc94:e2c6e4cfd8f2b331cr-action:replay program.optimization  )

Sign up here to be notified when new results are reproduced or new CodeReef components are shared!

How to get and run stable version (under development):
  pip install codereef
  cr download module:program.optimization --version=1.0.0 --all
  ck replay program.optimization --help

How to get and run development version:
  pip install ck
  ck pull repo:ck-crowdtuning
  ck replay program.optimization --help

How to run from Python:
   import ck.kernel as ck

   r=ck.access({'action':'replay',
                'module_uoa':'program.optimization',
                ... See JSON API below ...
               })
   if r['return']>0: return r
   ...
Info about the CK module with this action: program.optimization
Workflow framework: CK
Development repository: ck-crowdtuning
Module description: program optimization
Workflow: program optimization front-end (workflow)
API Python code: Link
JSON API:
        "    Input:  {
               (solutions)          - pre-existing solutions (to avoid getting it from repos)
               (solutions_info)     - pre-existing solutions info (for scenario)

               (local)              - use local repositories. By default - crowdtuning repo (remote-ck)

               (repo_uoa)           - repo UOA with optimization
               (remote_repo_uoa)    - if repo above is remote, use this repo on remote machine

               (data_uoa)           - experiment data UOA (can have wildcards)

               (solution_uid)       - solution UID, if known (otherwise all - useful to classify a given program by reactions to optimizations)

               (prune)              - if 'yes', prune solution

               (record_solutions)   - if 'yes', record solutions
               (solutions_file)     - output solutions to a file

               (record_reactions)         - if 'yes', record optimization reaction
               (record_reactions_file)    - file to record reaction table for graph ...

               (ignore_comparison)        - if 'yes', do not compare results
            }

    Output: {
              return       - return code =  0, if successful
                                         >  0, if error
              (error)      - error text if return > 0

              solutions    - processed solutions (including reactions)
            }

"
       


All versions:


Comments:

    Please log in to add your comment!


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