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- import tempfile
- import time
- import pandas as pd
- import pickle
- from imc_utils.pps_e36311a import PPS_E36311A
- from imc_utils.build_config.cortex_m33 import BuildConfigM33
- from imc_utils.build_config.test_env import TestEnv
- import imc_utils.serial_device
- from imc_utils.serial_watch import SerialWatcher
- WORKSPACE_ROOT = "/home/ybkim/workspace/imc/imc_freertos_app_m33"
- NVM_RESET_BIN = f"{WORKSPACE_ROOT}/imc/utils/nvm_reset.elf"
- OPENOCD_SCRIPT = f"{WORKSPACE_ROOT}/imc_freertos_app_m33.cfg"
- def main():
- pps = PPS_E36311A()
- config = get_default_build_config()
- benchmarks = [
- "vBasicMath", "vCrc", "vFFT", "vSha", "vStringSearch", "vMatMul", "vConv2d", "vAes"
- ]
- for benchmark in benchmarks:
- config.bench_name = benchmark
- config.insert_compiler_checkpoints = False
- config.use_checkpoint_pass_counter = False
- config.use_checkpoint_voltage_check = False
- config.checkpoint_pass_count = 1000
- config.bench_infinite_loop = True
- config.split_loop = True
- pps.set_voltage(3.3, 1)
- pps.set_current(0.1, 1)
- pps.output_on(1)
- env = TestEnv(WORKSPACE_ROOT, NVM_RESET_BIN, OPENOCD_SCRIPT)
- with tempfile.TemporaryDirectory() as build_dir:
- binary = env.build_binary(config, build_dir)
- env.clear_nvm_and_load_binary(binary, resume=False)
-
- # pps.set_current(0.015, 1)
- # time.sleep(1)
- env.resume_board(terminate=True)
- total_iterations = 2
- records = SerialWatcher(benchmark, total_iterations).run()
- # records = measure_execution_time(benchmark, total_iterations)
- df = pd.DataFrame(records)
- save_records(benchmark, df)
- print(df)
- def get_default_build_config():
- config = BuildConfigM33()
- config.bench_name = "vBasicMath"
- config.insert_compiler_checkpoints = True
- config.enable_extension = True
- config.use_checkpoint_pass_counter = False
- config.use_checkpoint_voltage_check = True
- config.bench_infinite_loop = True
- config.checkpoint_pass_count = 100
- config.print_recovery_message = True
- return config
- def save_records(bench_name, df):
- with open(f"output/{bench_name}.pickle", "wb") as f:
- pickle.dump(df, f)
- if __name__ == "__main__":
- main()
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