Chakra Replay

Chakra Replay workload (test_template_name is ChakraReplay) replays execution traces from the Chakra execution trace format for performance analysis and debugging.

Test TOML example:

            

            
name = "my_chakra_test"
description = "Example Chakra replay test"
test_template_name = "ChakraReplay"

[cmd_args]
trace_path = "/path/to/trace.et"
        

Test Scenario example:

            

            
name = "chakra-replay-test"

[[Tests]]
id = "chakra.1"
num_nodes = 1
time_limit = "00:10:00"

test_name = "my_chakra_test"
        

Test-in-Scenario example:

            

            
name = "chakra-replay-test"

[[Tests]]
id = "chakra.1"
num_nodes = 1
time_limit = "00:10:00"

name = "my_chakra_test"
description = "Example Chakra replay test"
test_template_name = "ChakraReplay"

  [Tests.cmd_args]
  trace_path = "/path/to/trace.et"
        

Command Arguments

class cloudai.workloads.chakra_replay.chakra_replay.ChakraReplayCmdArgs(*, docker_image_url: str, mpi: str = 'pmix', trace_type: str = 'et', trace_path: str | None = None, num_replays: int = 1, **extra_data: Any)[source]

Bases: CmdArgs

ChakraReplay test command arguments.

Test Definition

class cloudai.workloads.chakra_replay.chakra_replay.ChakraReplayTestDefinition(*, name: str, description: str, test_template_name: str, cmd_args: ChakraReplayCmdArgs, extra_env_vars: dict[str, str | List[str]] = {}, extra_cmd_args: dict[str, str] = {}, extra_container_mounts: list[str] = [], git_repos: list[GitRepo] = [], nsys: NsysConfiguration | None = None, predictor: PredictorConfig | None = None, agent: str = 'grid_search', agent_steps: int = 1, agent_metrics: list[str] = ['default'], agent_reward_function: str = 'inverse', agent_config: dict[str, Any] | None = None)[source]

Bases: TestDefinition

Test object for ChakraReplay.