How to use the opentuner.EnumParameter function in opentuner

To help you get started, we’ve selected a few opentuner examples, based on popular ways it is used in public projects.

Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.

GraphIt-DSL / graphit / autotune / pagerank_parallel_numa_tune.py View on Github

"""                                                                          
        Define the search space by creating a                                        
        ConfigurationManipulator                                                     
        """
  
        if not self.args.enable_NUMA_tuning == 1:
            self.enable_NUMA_tuning = False
        if not self.args.enable_parallel_tuning == 1:
            self.enable_parallel_tuning = False
            
        manipulator = ConfigurationManipulator()
        manipulator.add_parameter(
            EnumParameter('direction', 
                          ['SparsePush','DensePull', 'SparsePush-DensePull', 'DensePush-SparsePush']))
        if self.enable_parallel_tuning:
            manipulator.add_parameter(EnumParameter('parallelization',['dynamic-vertex-parallel','edge-aware-dynamic-vertex-parallel']))
        else:
            manipulator.add_parameter(EnumParameter('parallelization', ['serial']))

        manipulator.add_parameter(IntegerParameter('numSSG', 1, 20))
        if self.enable_NUMA_tuning:
            manipulator.add_parameter(EnumParameter('NUMA',['serial','static-parallel']))
        return manipulator

phrb / gpu-autotuning / src / tuner / rodinia_nvcc_flags_tuner.py View on Github

def manipulator(self):
        manipulator = ConfigurationManipulator()
        for flag in NVCC_FLAGS + PTXAS_FLAGS + NVLINK_FLAGS:
            manipulator.add_parameter(
                    EnumParameter(flag,
                                  ["on", "off"]))

        for d in [NVCC_PARAMS, PTXAS_PARAMS]:
            for flag, values in d.iteritems():
                manipulator.add_parameter(EnumParameter(flag, values))

        for param, pmin, pmax in NVCC_NUM_PARAMS + PTXAS_NUM_PARAMS:
            manipulator.add_parameter(IntegerParameter(param, pmin, pmax))
        return manipulator

phrb / gpu-autotuning / src / tuner / nvcc_flags_tuner.py View on Github

def manipulator(self):
        manipulator = ConfigurationManipulator()
        for flag in NVCC_FLAGS + PTXAS_FLAGS + NVLINK_FLAGS:
            manipulator.add_parameter(
                    EnumParameter(flag,
                                  ["on", "off"]))

        for d in [NVCC_PARAMS, PTXAS_PARAMS]:
            for flag, values in d.iteritems():
                manipulator.add_parameter(EnumParameter(flag, values))

        for param, pmin, pmax in NVCC_NUM_PARAMS + PTXAS_NUM_PARAMS:
            manipulator.add_parameter(IntegerParameter(param, pmin, pmax))
        return manipulator

GraphIt-DSL / graphit / autotune / graphit_autotuner.py View on Github

manipulator.add_parameter(
            EnumParameter('direction', 
                          ['SparsePush','DensePull', 'SparsePush-DensePull', 'DensePush-SparsePush']))
        
        if self.enable_parallel_tuning:
            manipulator.add_parameter(EnumParameter('parallelization',['dynamic-vertex-parallel','edge-aware-dynamic-vertex-parallel']))
        else:
            manipulator.add_parameter(EnumParameter('parallelization', ['serial']))

        manipulator.add_parameter(IntegerParameter('numSSG', 1, self.args.max_num_segments))
        
        if self.enable_NUMA_tuning:
            manipulator.add_parameter(EnumParameter('NUMA',['serial','static-parallel']))

        if self.enable_denseVertexSet_tuning:
            manipulator.add_parameter(EnumParameter('DenseVertexSet', ['boolean-array', 'bitvector']))

        # adding new parameters for PriorityGraph (Ordered GraphIt) 
        manipulator.add_parameter(IntegerParameter('delta', 1, self.args.max_delta))

        manipulator.add_parameter(
            EnumParameter('bucket_update_strategy', 
                          ['eager_priority_update','eager_priority_update_with_merge', 'lazy_priority_update']))

        return manipulator

GraphIt-DSL / graphit / autotune / pagerank_parallel_numa_tune.py View on Github

self.enable_NUMA_tuning = False
        if not self.args.enable_parallel_tuning == 1:
            self.enable_parallel_tuning = False
            
        manipulator = ConfigurationManipulator()
        manipulator.add_parameter(
            EnumParameter('direction', 
                          ['SparsePush','DensePull', 'SparsePush-DensePull', 'DensePush-SparsePush']))
        if self.enable_parallel_tuning:
            manipulator.add_parameter(EnumParameter('parallelization',['dynamic-vertex-parallel','edge-aware-dynamic-vertex-parallel']))
        else:
            manipulator.add_parameter(EnumParameter('parallelization', ['serial']))

        manipulator.add_parameter(IntegerParameter('numSSG', 1, 20))
        if self.enable_NUMA_tuning:
            manipulator.add_parameter(EnumParameter('NUMA',['serial','static-parallel']))
        return manipulator

GraphIt-DSL / graphit / autotune / pagerank_parallel_numa_tune.py View on Github

def manipulator(self):
        """                                                                          
        Define the search space by creating a                                        
        ConfigurationManipulator                                                     
        """
  
        if not self.args.enable_NUMA_tuning == 1:
            self.enable_NUMA_tuning = False
        if not self.args.enable_parallel_tuning == 1:
            self.enable_parallel_tuning = False
            
        manipulator = ConfigurationManipulator()
        manipulator.add_parameter(
            EnumParameter('direction', 
                          ['SparsePush','DensePull', 'SparsePush-DensePull', 'DensePush-SparsePush']))
        if self.enable_parallel_tuning:
            manipulator.add_parameter(EnumParameter('parallelization',['dynamic-vertex-parallel','edge-aware-dynamic-vertex-parallel']))
        else:
            manipulator.add_parameter(EnumParameter('parallelization', ['serial']))

        manipulator.add_parameter(IntegerParameter('numSSG', 1, 20))
        if self.enable_NUMA_tuning:
            manipulator.add_parameter(EnumParameter('NUMA',['serial','static-parallel']))
        return manipulator

GraphIt-DSL / graphit / autotune / graphit_autotuner.py View on Github

Define the search space by creating a                                        
        ConfigurationManipulator                                                     
        """

        # set the global flags needed for printing schedules
        if self.args.enable_NUMA_tuning == 0:
            self.enable_NUMA_tuning = False
        if self.args.enable_parallel_tuning == 0:
            self.enable_parallel_tuning = False
        if self.args.enable_denseVertexSet_tuning == 0:
            self.enable_denseVertexSet_tuning = False


        manipulator = ConfigurationManipulator()
        manipulator.add_parameter(
            EnumParameter('direction', 
                          ['SparsePush','DensePull', 'SparsePush-DensePull', 'DensePush-SparsePush']))
        
        if self.enable_parallel_tuning:
            manipulator.add_parameter(EnumParameter('parallelization',['dynamic-vertex-parallel','edge-aware-dynamic-vertex-parallel']))
        else:
            manipulator.add_parameter(EnumParameter('parallelization', ['serial']))

        manipulator.add_parameter(IntegerParameter('numSSG', 1, self.args.max_num_segments))
        
        if self.enable_NUMA_tuning:
            manipulator.add_parameter(EnumParameter('NUMA',['serial','static-parallel']))

        if self.enable_denseVertexSet_tuning:
            manipulator.add_parameter(EnumParameter('DenseVertexSet', ['boolean-array', 'bitvector']))

        # adding new parameters for PriorityGraph (Ordered GraphIt)

GraphIt-DSL / graphit / autotune / pagerank_parallel_numa_tune.py View on Github

ConfigurationManipulator                                                     
        """
  
        if not self.args.enable_NUMA_tuning == 1:
            self.enable_NUMA_tuning = False
        if not self.args.enable_parallel_tuning == 1:
            self.enable_parallel_tuning = False
            
        manipulator = ConfigurationManipulator()
        manipulator.add_parameter(
            EnumParameter('direction', 
                          ['SparsePush','DensePull', 'SparsePush-DensePull', 'DensePush-SparsePush']))
        if self.enable_parallel_tuning:
            manipulator.add_parameter(EnumParameter('parallelization',['dynamic-vertex-parallel','edge-aware-dynamic-vertex-parallel']))
        else:
            manipulator.add_parameter(EnumParameter('parallelization', ['serial']))

        manipulator.add_parameter(IntegerParameter('numSSG', 1, 20))
        if self.enable_NUMA_tuning:
            manipulator.add_parameter(EnumParameter('NUMA',['serial','static-parallel']))
        return manipulator

GraphIt-DSL / graphit / autotune / graphit_autotuner.py View on Github

else:
            manipulator.add_parameter(EnumParameter('parallelization', ['serial']))

        manipulator.add_parameter(IntegerParameter('numSSG', 1, self.args.max_num_segments))
        
        if self.enable_NUMA_tuning:
            manipulator.add_parameter(EnumParameter('NUMA',['serial','static-parallel']))

        if self.enable_denseVertexSet_tuning:
            manipulator.add_parameter(EnumParameter('DenseVertexSet', ['boolean-array', 'bitvector']))

        # adding new parameters for PriorityGraph (Ordered GraphIt) 
        manipulator.add_parameter(IntegerParameter('delta', 1, self.args.max_delta))

        manipulator.add_parameter(
            EnumParameter('bucket_update_strategy', 
                          ['eager_priority_update','eager_priority_update_with_merge', 'lazy_priority_update']))

        return manipulator

How to use the opentuner.EnumParameter function in opentuner

To help you get started, we’ve selected a few opentuner examples, based on popular ways it is used in public projects.

opentuner

Package Health Score

Popular opentuner functions

Similar packages