Hello!
After debugging I have some new discoveries In the https://github.com/apache/incubator-tvm/blob/1014fefa54b5f0a359501b6d19ea3b5a52d6dca6/python/tvm/autotvm/measure/local_executor.py#L130 Parameter "do_fork" will affect the success of autotvm when the schedule increases the acquisition of CUDA version I add "self.do_fork=False" in line 145: def submit(self, func, *args, **kwargs): self.do_fork = False if not self.do_fork: return LocalFutureNoFork(func(*args, **kwargs)) queue = Queue(2) process = Process(target=call_with_timeout, args=(queue, self.timeout, func, args, kwargs)) process.start() return LocalFuture(process, queue) Through the above modification, autotvm can run normally. Can I directly control this parameter to run autotvm? Just like the following settings: tuning_option = { 'log_filename': log_file, 'tuner': 'ga', 'n_trial': 2000, 'early_stopping': 600, 'measure_option': autotvm.measure_option( builder=autotvm.LocalBuilder(timeout=10), runner=autotvm.LocalRunner(number=20, repeat=3, timeout=4, min_repeat_ms=150) ), } I will be very grateful if you can help me. --- [Visit Topic](https://discuss.tvm.ai/t/autotvm-error-cudaerrorcudartunloading-initialization-error-error-no-2/6487/5) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/65614c53accf4bddfb3af1d333540a55b43c58fa9a1713ca0a52310d97dfc8a4).
