# # Collective Knowledge (TensorFlow CK front-end) # # See CK LICENSE.txt for licensing details # See CK COPYRIGHT.txt for copyright details # # Developer: cTuning foundation, admin@cTuning.org, http://cTuning.org # cfg={} # Will be updated by CK (meta description of this module) work={} # Will be updated by CK (temporal data) ck=None # Will be updated by CK (initialized CK kernel) # Local settings ############################################################################## # Initialize module def init(i): """ Input: {} Output: { return - return code = 0, if successful > 0, if error (error) - error text if return > 0 } """ return {'return':0} ############################################################################## # crowd-benchmark TensorFlow def crowdbench(i): """ Input: { } Output: { return - return code = 0, if successful > 0, if error (error) - error text if return > 0 } """ i['action']='crowdsource' i['module_uoa']=cfg['module_deps']['experiment.bench.tensorflow'] return ck.access(i) ############################################################################## # replay experiment def replay(i): """ Input: { } Output: { return - return code = 0, if successful > 0, if error (error) - error text if return > 0 } """ i['module_uoa']=cfg['module_deps']['experiment.bench.tensorflow'] return ck.access(i) ############################################################################## # autotune TensorFlow workloads def autotune(i): """ Input: { } Output: { return - return code = 0, if successful > 0, if error (error) - error text if return > 0 } """ i['module_uoa']=cfg['module_deps']['program'] i['data_uoa']='tensorflow' i['explore']='yes' i['extra_tags']='dnn' i['skip_collaborative']='yes' i['skip_pruning']='yes' i['iterations']=-1 i['new']='yes' i['cmd_keys']=['time_cpu','time_cuda'] return ck.access(i)