Struct CUDAEnsemble::EnsembleConfig

Nested Relationships

This struct is a nested type of Class CUDAEnsemble.

struct EnsembleConfig

Execution config for running a CUDAEnsemble

Public Types

enum ErrorLevel

Values:

Public Functions

Public Members

std::string out_directory = "": Directory to store output data (primarily logs) Defaults to “” (the working directory, no subdirectory)

std::string out_format = "json": Output format This must be a supported format e.g.: “json” or “xml” Defaults to “json”

unsigned int concurrent_runs = 4: The maximum number of concurrent runs Defaults to 4

std::set<int> devices: The CUDA device ids of devices to be used If this is left empty, all available devices will be used Defaults to empty set (all available devices)

flamegpu::Verbosity verbosity = Verbosity::Default: If true progress logging to stdout will be suppressed Defaults to false

bool silence_unknown_args = false: Suppresses warning for unknown arguments passed to the CUDAEnsemble during initialisation. Useful for when arguments are passed to user defined models but should not be considered by the FLAME GPU API.

bool timing = false: If true, the total runtime for the ensemble will be printed to stdout at completion This is independent of the EnsembleConfig::quiet Defaults to false

ErrorLevel error_level = Slow: Off: Runs which fail do not cause an exception to be raised. Failed runs must be probed manually via checking the return value of calls to CUDAEnsemble::simulate() Slow: If any runs fail, an EnsembleException will be raised after all runs have been attempted, before CUDAEnsemble::simulate() returns. Fast: An EnsembleException will be raised as soon as a failed run is detected, cancelling remaining runs. Defaults to Slow

bool truncate_log_files = false: If true, all log files created will truncate any existing files with the same name If false, an exception will be raised when a log file already exists

const bool block_standby = false: Prevents the computer from entering standby whilst the ensemble is running

Note

This feature is currently only supported by Windows builds.