Coderx7 opened a new issue #4821: OSError: [WinError 10048] Only one usage of each socket address (protocol/network address/port) is normally permitted and OSError: [WinError 10049] The requested address is not valid in its context URL: https://github.com/apache/incubator-tvm/issues/4821 This issue is a followup to the #4819, After applying the #4820 changes, Under windows, trying to run the example : [Auto-tuning a convolutional network for x86 CPU](https://docs.tvm.ai/tutorials/autotvm/tune_relay_x86.html#sphx-glr-tutorials-autotvm-tune-relay-x86-py) this error occurs. the error occurs in the last cell : ```python def tune_and_evaluate(tuning_opt): # extract workloads from relay program print("Extract tasks...") mod, params, data_shape, out_shape = get_network(model_name, batch_size) tasks = autotvm.task.extract_from_program(mod["main"], target=target, params=params, ops=(relay.op.nn.conv2d,)) # run tuning tasks print("Tuning...") tune_kernels(tasks, **tuning_opt) tune_graph(mod["main"], data_shape, log_file, graph_opt_sch_file) # compile kernels with graph-level best records with autotvm.apply_graph_best(graph_opt_sch_file): print("Compile...") with relay.build_config(opt_level=3): graph, lib, params = relay.build_module.build( mod, target=target, params=params) # upload parameters to device ctx = tvm.cpu() data_tvm = tvm.nd.array((np.random.uniform(size=data_shape)).astype(dtype)) module = runtime.create(graph, lib, ctx) module.set_input(input_name, data_tvm) module.set_input(**params) # evaluate print("Evaluate inference time cost...") ftimer = module.module.time_evaluator("run", ctx, number=100, repeat=3) prof_res = np.array(ftimer().results) * 1000 # convert to millisecond print("Mean inference time (std dev): %.2f ms (%.2f ms)" % (np.mean(prof_res), np.std(prof_res))) # We do not run the tuning in our webpage server since it takes too long. # Uncomment the following line to run it by yourself. # tune_and_evaluate(tuning_option) ``` Error : ```python Extract tasks... ANTLR runtime and generated code versions disagree: 4.8!=4.7.2 ANTLR runtime and generated code versions disagree: 4.8!=4.7.2 Tuning... [Task 1/12] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/252) | 0.00 sTraceback (most recent call last): File "C:\Users\User\Anaconda3\lib\runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "C:\Users\User\Anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\exec\rpc_server.py", line 138, in <module> main(args) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\exec\rpc_server.py", line 58, in main silent=args.silent) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\rpc\server.py", line 389, in __init__ raise sock_err File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\rpc\server.py", line 382, in __init__ sock.bind((host, my_port)) OSError: [WinError 10048] Only one usage of each socket address (protocol/network address/port) is normally permitted Exception ignored in: <function Server.__del__ at 0x0000021F5BF3A8B8> Traceback (most recent call last): File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\rpc\server.py", line 419, in __del__ self.terminate() File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\rpc\server.py", line 414, in terminate if self.proc: AttributeError: 'Server' object has no attribute 'proc' Exception in thread Thread-3: Traceback (most recent call last): File "C:\Users\User\Anaconda3\lib\threading.py", line 926, in _bootstrap_inner self.run() File "C:\Users\User\Anaconda3\lib\threading.py", line 870, in run self._target(*self._args, **self._kwargs) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\autotvm\measure\measure_methods.py", line 572, in _check remote = request_remote(device_key, host, port, priority) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\autotvm\measure\measure_methods.py", line 539, in request_remote tracker = _rpc.connect_tracker(host, port) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\rpc\client.py", line 430, in connect_tracker return TrackerSession((url, port)) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\rpc\client.py", line 221, in __init__ self._connect() File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\rpc\client.py", line 227, in _connect self._sock = base.connect_with_retry(self._addr) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\rpc\base.py", line 171, in connect_with_retry raise sock_err File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\rpc\base.py", line 167, in connect_with_retry sock.connect(addr) OSError: [WinError 10049] The requested address is not valid in its context Traceback (most recent call last): File "tune_relay_x86.py", line 225, in <module> tune_and_evaluate(tuning_option) File "tune_relay_x86.py", line 198, in tune_and_evaluate tune_kernels(tasks, **tuning_opt) File "tune_relay_x86.py", line 170, in tune_kernels autotvm.callback.log_to_file(log_filename)]) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\autotvm\tuner\tuner.py", line 125, in tune results = measure_batch(inputs) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\autotvm\measure\measure.py", line 260, in measure_batch build_results = builder.build(measure_inputs) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\autotvm\measure\measure_methods.py", line 105, in build **self.build_kwargs) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\autotvm\measure\local_executor.py", line 151, in submit process.start() File "C:\Users\User\Anaconda3\lib\multiprocessing\process.py", line 112, in start self._popen = self._Popen(self) File "C:\Users\User\Anaconda3\lib\multiprocessing\context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "C:\Users\User\Anaconda3\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "C:\Users\User\Anaconda3\lib\multiprocessing\popen_spawn_win32.py", line 89, in __init__ reduction.dump(process_obj, to_child) File "C:\Users\User\Anaconda3\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) AttributeError: Can't pickle local object '_wrap_build_func.<locals>._wrapped' Done. Exception ignored in: <function Server.__del__ at 0x000001EDA5A7BDC8> Traceback (most recent call last): File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\rpc\server.py", line 419, in __del__ self.terminate() File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\rpc\server.py", line 411, in terminate os.killpg(self.proc.pid, signal.SIGTERM) AttributeError: module 'os' has no attribute 'killpg' D:\Codes\tvm_testbed>Extract tasks... ANTLR runtime and generated code versions disagree: 4.8!=4.7.2 ANTLR runtime and generated code versions disagree: 4.8!=4.7.2 Tuning... [Task 1/12] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/252) | 0.00 sTraceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\User\Anaconda3\lib\multiprocessing\spawn.py", line 105, in spawn_main exitcode = _main(fd) File "C:\Users\User\Anaconda3\lib\multiprocessing\spawn.py", line 114, in _main prepare(preparation_data) File "C:\Users\User\Anaconda3\lib\multiprocessing\spawn.py", line 225, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\User\Anaconda3\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path run_name="__mp_main__") File "C:\Users\User\Anaconda3\lib\runpy.py", line 263, in run_path pkg_name=pkg_name, script_name=fname) File "C:\Users\User\Anaconda3\lib\runpy.py", line 96, in _run_module_code mod_name, mod_spec, pkg_name, script_name) File "C:\Users\User\Anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "D:\Codes\tvm_testbed\tune_relay_x86.py", line 225, in <module> tune_and_evaluate(tuning_option) File "D:\Codes\tvm_testbed\tune_relay_x86.py", line 198, in tune_and_evaluate tune_kernels(tasks, **tuning_opt) File "D:\Codes\tvm_testbed\tune_relay_x86.py", line 170, in tune_kernels autotvm.callback.log_to_file(log_filename)]) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\autotvm\tuner\tuner.py", line 108, in tune measure_batch = create_measure_batch(self.task, measure_option) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\autotvm\measure\measure.py", line 252, in create_measure_batch attach_objects = runner.set_task(task) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\autotvm\measure\measure_methods.py", line 332, in set_task tracker = Tracker('0.0.0.0', port=9000, port_end=10000, silent=True) File "C:\Users\User\Anaconda3\lib\site-packages\tvm-0.7.dev0-py3.7-win-amd64.egg\tvm\rpc\tracker.py", line 404, in __init__ self.proc.start() File "C:\Users\User\Anaconda3\lib\multiprocessing\process.py", line 112, in start self._popen = self._Popen(self) File "C:\Users\User\Anaconda3\lib\multiprocessing\context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "C:\Users\User\Anaconda3\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "C:\Users\User\Anaconda3\lib\multiprocessing\popen_spawn_win32.py", line 46, in __init__ prep_data = spawn.get_preparation_data(process_obj._name) File "C:\Users\User\Anaconda3\lib\multiprocessing\spawn.py", line 143, in get_preparation_data _check_not_importing_main() File "C:\Users\User\Anaconda3\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main is not going to be frozen to produce an executable.''') RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase. This probably means that you are not using fork to start your child processes and you have forgotten to use the proper idiom in the main module: if __name__ == '__main__': freeze_support() ... The "freeze_support()" line can be omitted if the program is not going to be frozen to produce an executable. Done. ```
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