PaddleHub 情感分析教程运行错误
Created by: githubusr2
PaddleHub 情感分析教程运行如下错误： 七、开始Finetune 我们选择finetune_and_eval接口来进行模型训练，这个接口在finetune的过程中，会周期性的进行模型效果的评估，以便我们了解整个训练过程的性能变化。 run_states = cls_task.finetune_and_eval() [2020-03-01 16:25:06,188] [ INFO] - Strategy with scheduler: {'warmup': 0.1, 'linear_decay': {'start_point': 0.1, 'end_learning_rate': 0}, 'noam_decay': False, 'discriminative': {'blocks': 0, 'factor': 2.6}, 'gradual_unfreeze': 0, 'slanted_triangle': {'cut_fraction': 0.0, 'ratio': 32}}, regularization: {'L2': 0.0, 'L2SP': 0.0, 'weight_decay': 0.01} and clip: {'GlobalNorm': 1.0, 'Norm': 0.0} 2020-03-01 16:25:06,315-WARNING: You can try our memory optimize feature to save your memory usage: # create a build_strategy variable to set memory optimize option build_strategy = compiler.BuildStrategy() build_strategy.enable_inplace = True build_strategy.memory_optimize = True
# pass the build_strategy to with_data_parallel API
compiled_prog = compiler.CompiledProgram(main).with_data_parallel(
loss_name=loss.name, build_strategy=build_strategy)
!!! Memory optimize is our experimental feature !!!
some variables may be removed/reused internal to save memory usage,
in order to fetch the right value of the fetch_list, please set the
persistable property to true for each variable in fetch_list
# Sample
conv1 = fluid.layers.conv2d(data, 4, 5, 1, act=None)
# if you need to fetch conv1, then:
conv1.persistable = True[2020-03-01 16:25:07,187] [ INFO] - Try loading checkpoint from nlp_senta_turtorial_demo/ckpt.meta [2020-03-01 16:25:07,189] [ INFO] - PaddleHub model checkpoint not found, start from scratch... [2020-03-01 16:25:07,221] [ INFO] - PaddleHub finetune start [2020-03-01 16:25:07,227] [ INFO] - 20 pretrained paramaters loaded by PaddleHub [2020-03-01 16:25:11,932] [ TRAIN] - step 10 / 300: loss=0.71818 acc=0.16562 [step/sec: 2.13] [2020-03-01 16:25:16,371] [ TRAIN] - step 20 / 300: loss=0.71554 acc=0.15937 [step/sec: 2.25] [2020-03-01 16:25:20,792] [ TRAIN] - step 30 / 300: loss=0.70258 acc=0.26250 [step/sec: 2.26] [2020-03-01 16:25:25,574] [ TRAIN] - step 40 / 300: loss=0.68916 acc=0.60313 [step/sec: 2.09] [2020-03-01 16:25:30,040] [ TRAIN] - step 50 / 300: loss=0.66774 acc=0.85000 [step/sec: 2.24] [2020-03-01 16:25:30,044] [ INFO] - Evaluation on dev dataset start Exception in thread Thread-7: Traceback (most recent call last): File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/threading.py", line 926, in bootstrap_inner self.run() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/threading.py", line 870, in run self.target(*self.args, *self.kwargs) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layers/io.py", line 585, in provider_thread raise ex File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layers/io.py", line 567, in provider_thread for tensors in func(): File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layers/io.py", line 617, in tensor_provider for slots in paddle_reader(): File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/data_feeder.py", line 326, in reader_creator for item in reader(): File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/batch.py", line 35, in batch_reader for instance in r: File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/reader/nlp_reader.py", line 1203, in data_reader text = preprocess(item.text_a) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/reader/nlp_reader.py", line 1178, in preprocess processed = self.lac.lexical_analysis(data=data_dict) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/module/module.py", line 543, in call return_numpy=False) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py", line 565, in run use_program_cache=use_program_cache) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py", line 642, in run exe.run(program.desc, scope, 0, True, True, fetch_var_name) paddle.fluid.core.EnforceNotMet: Invoke operator mul error. Python Callstacks: File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py", line 1654, in append_op attrs=kwargs.get("attrs", None)) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layer_helper.py", line 43, in append_op return self.main_program.current_block().append_op(*args, **kwargs) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layers/nn.py", line 323, in fc "y_num_col_dims": 1}) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/classifier_task.py", line 200, in build_net act="softmax") File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 329, in build_env self.env.outputs = self.build_net() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 474, in main_program self.build_env() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 826, in run with fluid.program_guard(self.main_program, self.startup_program): File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 799, in eval run_states = self.run() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 688, in default_eval_interval_event self.eval(phase="dev") File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 580, in hook_function func(*args) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 930, in run_with_py_reader self.eval_interval_event() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 828, in run return self.run_with_py_reader(do_eval=do_eval) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 775, in finetune run_states = self.run(do_eval=do_eval) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 763, in finetune_and_eval return self.finetune(do_eval=True) File "", line 1, in run_states = cls_task.finetune_and_eval() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3265, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3183, in run_ast_nodes if (yield from self.run_code(code, result)): File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3018, in run_cell_async interactivity=interactivity, compiler=compiler, result=result) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/IPython/core/async_helpers.py", line 67, in pseudo_sync_runner coro.send(None) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 2843, in run_cell return runner(coro) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 2817, in run_cell raw_cell, store_history, silent, shell_futures) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/zmqshell.py", line 536, in run_cell return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/ipkernel.py", line 294, in do_execute res = shell.run_cell(code, store_history=store_history, silent=silent) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py", line 326, in wrapper yielded = next(result) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelbase.py", line 534, in execute_request user_expressions, allow_stdin, File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py", line 326, in wrapper yielded = next(result) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelbase.py", line 267, in dispatch_shell yield gen.maybe_future(handler(stream, idents, msg)) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py", line 326, in wrapper yielded = next(result) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelbase.py", line 357, in process_one yield gen.maybe_future(dispatch(*args)) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py", line 1147, in run yielded = self.gen.send(value) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py", line 1080, in init self.run() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py", line 346, in wrapper runner = Runner(result, future, yielded) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelbase.py", line 370, in dispatch_queue yield self.process_one() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py", line 1147, in run yielded = self.gen.send(value) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py", line 1233, in inner self.run() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/stack_context.py", line 300, in null_wrapper return fn(args, kwargs) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/ioloop.py", line 758, in _run_callback ret = callback() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/asyncio/events.py", line 88, in _run self._context.run(self._callback, self._args) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/asyncio/base_events.py", line 1771, in _run_once handle._run() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/asyncio/base_events.py", line 534, in run_forever self._run_once() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/platform/asyncio.py", line 132, in start self.asyncio_loop.run_forever() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelapp.py", line 505, in start self.io_loop.start() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/traitlets/config/application.py", line 664, in launch_instance app.start() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel_launcher.py", line 16, in app.launch_new_instance() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/runpy.py", line 85, in _run_code exec(code, run_globals) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/runpy.py", line 193, in _run_module_as_main "main", mod_spec) C++ Callstacks: Input X(0)is not initialized at [/paddle/paddle/fluid/framework/operator.cc:1109] PaddlePaddle Call Stacks: 0 0x7fdca7ea2d60p void paddle::platform::EnforceNotMet::Init<char const>(char const, char const, int) + 352 1 0x7fdca7ea30d9p paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const, int) + 137 2 0x7fdca9b2f04fp paddle::framework::OperatorWithKernel::IndicateDataType(paddle::framework::ExecutionContext const&) const + 1343 3 0x7fdca9b2f23fp paddle::framework::OperatorWithKernel::GetExpectedKernelType(paddle::framework::ExecutionContext const&) const + 47 4 0x7fdca9b322a3p paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void> const&, paddle::framework::RuntimeContext) const + 243 5 0x7fdca9b32bb4p paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&) const + 292 6 0x7fdca9b304dcp paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&) + 332 7 0x7fdca801541ep paddle::framework::Executor::RunPreparedContext(paddle::framework::ExecutorPrepareContext*, paddle::framework::Scope*, bool, bool, bool) + 222 8 0x7fdca80162ffp paddle::framework::Executor::Run(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool, std::vector<std::string, std::allocatorstd::string > const&, bool) + 143 9 0x7fdca7e9296ep 10 0x7fdca7ed576ep 11 0x55b857d62744p _PyMethodDef_RawFastCallKeywords + 596 12 0x55b857d62861p _PyCFunction_FastCallKeywords + 33 13 0x55b857dce6e8p _PyEval_EvalFrameDefault + 21240 14 0x55b857d12539p _PyEval_EvalCodeWithName + 761 15 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 16 0x55b857dca8ccp _PyEval_EvalFrameDefault + 5340 17 0x55b857d12539p _PyEval_EvalCodeWithName + 761 18 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 19 0x55b857dca8ccp _PyEval_EvalFrameDefault + 5340 20 0x55b857d12d09p _PyEval_EvalCodeWithName + 2761 21 0x55b857d13860p _PyFunction_FastCallDict + 1024 22 0x55b857d31e53p _PyObject_Call_Prepend + 99 23 0x55b857d24dbep PyObject_Call + 110 24 0x55b857e21bc7p 25 0x55b857d6a8fbp _PyObject_FastCallKeywords + 1179 26 0x55b857dcea8fp _PyEval_EvalFrameDefault + 22175 27 0x55b857d1281ap _PyEval_EvalCodeWithName + 1498 28 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 29 0x55b857dc9806p _PyEval_EvalFrameDefault + 1046 30 0x55b857d6ab31p 31 0x55b857dc9e36p _PyEval_EvalFrameDefault + 2630 32 0x55b857d6ab31p 33 0x55b857dc9e36p _PyEval_EvalFrameDefault + 2630 34 0x55b857d6ab31p 35 0x55b857dc9e36p _PyEval_EvalFrameDefault + 2630 36 0x55b857d6ab31p 37 0x55b857dc9e36p _PyEval_EvalFrameDefault + 2630 38 0x55b857d12d09p _PyEval_EvalCodeWithName + 2761 39 0x55b857d13635p _PyFunction_FastCallDict + 469 40 0x55b857dcb232p _PyEval_EvalFrameDefault + 7746 41 0x55b857d61ccbp _PyFunction_FastCallKeywords + 251 42 0x55b857dc9a93p _PyEval_EvalFrameDefault + 1699 43 0x55b857d61ccbp _PyFunction_FastCallKeywords + 251 44 0x55b857dc9a93p _PyEval_EvalFrameDefault + 1699 45 0x55b857d1356bp _PyFunction_FastCallDict + 267 46 0x55b857d31e53p _PyObject_Call_Prepend + 99 47 0x55b857d24dbep PyObject_Call + 110 48 0x55b857e21817p 49 0x55b857ddc788p 50 0x7fdd253e76bap 51 0x7fdd2511d41dp clone + 109
---------------------------------------------------------------------------EnforceNotMet Traceback (most recent call last) in ----> 1 run_states = cls_task.finetune_and_eval() /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in finetune_and_eval(self) 761 762 def finetune_and_eval(self): --> 763 return self.finetune(do_eval=True) 764 765 def finetune(self, do_eval=False): /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in finetune(self, do_eval) 773 while self.current_epoch <= self.config.num_epoch: 774 self.config.strategy.step() --> 775 run_states = self._run(do_eval=do_eval) 776 self.env.current_epoch += 1 777 /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in _run(self, do_eval) 826 with fluid.program_guard(self.main_program, self.startup_program): 827 if self.config.use_pyreader: --> 828 return self._run_with_py_reader(do_eval=do_eval) 829 return self._run_with_data_feeder(do_eval=do_eval) 830 /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in _run_with_py_reader(self, do_eval) 928 929 if do_eval and self.current_step % self.config.eval_interval == 0: --> 930 self._eval_interval_event() 931 932 self._run_step_event(step_run_state) /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in hook_function(self, *args) 578 for name, func in self._hooks[hook_type].items(): 579 if inspect.ismethod(func): --> 580 func(*args) 581 else: 582 partial(func, self)(*args) /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in _default_eval_interval_event(self) 686 687 def _default_eval_interval_event(self): --> 688 self.eval(phase="dev") 689 690 def _default_run_step_event(self, run_state): /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in eval(self, phase, load_best_model) 797 self.init_if_necessary() 798 self._eval_start_event() --> 799 run_states = self._run() 800 self._eval_end_event(run_states) 801 return run_states /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in _run(self, do_eval) 824 825 def _run(self, do_eval=False): --> 826 with fluid.program_guard(self.main_program, self.startup_program): 827 if self.config.use_pyreader: 828 return self._run_with_py_reader(do_eval=do_eval) /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in main_program(self) 472 def main_program(self): 473 if not self.env.is_inititalized: --> 474 self._build_env() 475 return self.env.main_program 476 /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in _build_env(self) 327 self._base_startup_program): 328 with fluid.unique_name.guard(self.env.UNG): --> 329 self.env.outputs = self._build_net() 330 if self.is_train_phase or self.is_test_phase: 331 self.env.labels = self._add_label() /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/classifier_task.py in _build_net(self) 198 bias_attr=fluid.ParamAttr( 199 name="cls_out_b", initializer=fluid.initializer.Constant(0.)), --> 200 act="softmax") 201 202 self.ret_infers = fluid.layers.reshape( /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layers/nn.py in fc(input, size, num_flatten_dims, param_attr, bias_attr, act, is_test, name) 321 outputs={"Out": tmp}, 322 attrs={"x_num_col_dims": num_flatten_dims, --> 323 "y_num_col_dims": 1}) 324 mul_results.append(tmp) 325 /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layer_helper.py in append_op(self, *args, **kwargs) 41 42 def append_op(self, *args, **kwargs): ---> 43 return self.main_program.current_block().append_op(*args, **kwargs) 44 45 def multiple_input(self, input_param_name='input'): /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py in append_op(self, args, kwargs) 1652 inputs=kwargs.get("inputs", None), 1653 outputs=kwargs.get("outputs", None), -> 1654 attrs=kwargs.get("attrs", None)) 1655 1656 self.ops.append(op) /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py in init(failed resolving arguments) 1056 if self._has_kernel(type): 1057 self.desc.infer_var_type(self.block.desc) -> 1058 self.desc.infer_shape(self.block.desc) 1059 1060 def _has_kernel(self, op_type): EnforceNotMet: Enforce failed. Expected x_dims.size() > x_num_col_dims, but received x_dims.size():1 <= x_num_col_dims:1. The input tensor X's rank of MulOp should be larger than x_num_col_dims. at [/paddle/paddle/fluid/operators/mul_op.cc:48] PaddlePaddle Call Stacks: 0 0x7fdca7ea3288p void paddle::platform::EnforceNotMet::Initstd::string(std::string, char const, int) + 360 1 0x7fdca7ea35d7p paddle::platform::EnforceNotMet::EnforceNotMet(std::string const&, char const, int) + 87 2 0x7fdca857e417p paddle::operators::MulOp::InferShape(paddle::framework::InferShapeContext) const + 3319 3 0x7fdca7ffac6ep paddle::framework::OpDesc::InferShape(paddle::framework::BlockDesc const&) const + 862 4 0x7fdca7f5225cp 5 0x7fdca7ed576ep 6 0x55b857d62744p _PyMethodDef_RawFastCallKeywords + 596 7 0x55b857d62861p _PyCFunction_FastCallKeywords + 33 8 0x55b857dce6e8p _PyEval_EvalFrameDefault + 21240 9 0x55b857d12539p _PyEval_EvalCodeWithName + 761 10 0x55b857d13860p _PyFunction_FastCallDict + 1024 11 0x55b857d31e53p _PyObject_Call_Prepend + 99 12 0x55b857d6997ap 13 0x55b857d6a588p _PyObject_FastCallKeywords + 296 14 0x55b857dcea8fp _PyEval_EvalFrameDefault + 22175 15 0x55b857d12539p _PyEval_EvalCodeWithName + 761 16 0x55b857d13860p _PyFunction_FastCallDict + 1024 17 0x55b857d31e53p _PyObject_Call_Prepend + 99 18 0x55b857d24dbep PyObject_Call + 110 19 0x55b857dcb232p _PyEval_EvalFrameDefault + 7746 20 0x55b857d12539p _PyEval_EvalCodeWithName + 761 21 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 22 0x55b857dca8ccp _PyEval_EvalFrameDefault + 5340 23 0x55b857d12539p _PyEval_EvalCodeWithName + 761 24 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 25 0x55b857dca8ccp _PyEval_EvalFrameDefault + 5340 26 0x55b857d61ccbp _PyFunction_FastCallKeywords + 251 27 0x55b857dc9a93p _PyEval_EvalFrameDefault + 1699 28 0x55b857d12d09p _PyEval_EvalCodeWithName + 2761 29 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 30 0x55b857dc9a93p _PyEval_EvalFrameDefault + 1699 31 0x55b857d1356bp _PyFunction_FastCallDict + 267 32 0x55b857d76ed2p 33 0x55b857d26fe1p _PyObject_GenericGetAttrWithDict + 257 34 0x55b857dc9cdap _PyEval_EvalFrameDefault + 2282 35 0x55b857d12539p _PyEval_EvalCodeWithName + 761 36 0x55b857d61ef5p _PyFunction_FastCallKeywords + 805 37 0x55b857dc9a93p _PyEval_EvalFrameDefault + 1699 38 0x55b857d12539p _PyEval_EvalCodeWithName + 761 39 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 40 0x55b857dca8ccp _PyEval_EvalFrameDefault + 5340 41 0x55b857d1356bp _PyFunction_FastCallDict + 267 42 0x55b857d31e53p _PyObject_Call_Prepend + 99 43 0x55b857d24dbep PyObject_Call + 110 44 0x55b857dcb232p _PyEval_EvalFrameDefault + 7746 45 0x55b857d1281ap _PyEval_EvalCodeWithName + 1498 46 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 47 0x55b857dc9a93p _PyEval_EvalFrameDefault + 1699 48 0x55b857d12539p _PyEval_EvalCodeWithName + 761 49 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 50 0x55b857dca8ccp _PyEval_EvalFrameDefault + 5340 51 0x55b857d12539p _PyEval_EvalCodeWithName + 761 52 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 53 0x55b857dca8ccp _PyEval_EvalFrameDefault + 5340 54 0x55b857d12539p _PyEval_EvalCodeWithName + 761 55 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 56 0x55b857dca8ccp _PyEval_EvalFrameDefault + 5340 57 0x55b857d61ccbp _PyFunction_FastCallKeywords + 251 58 0x55b857dc9a93p _PyEval_EvalFrameDefault + 1699 59 0x55b857d12539p _PyEval_EvalCodeWithName + 761 60 0x55b857d13424p PyEval_EvalCodeEx + 68 61 0x55b857d1344cp PyEval_EvalCode + 28 62 0x55b857dd8f8dp 63 0x55b857d625d9p _PyMethodDef_RawFastCallKeywords + 233 64 0x55b857d62861p _PyCFunction_FastCallKeywords + 33 65 0x55b857dcdb94p _PyEval_EvalFrameDefault + 18340 66 0x55b857d6b592p _PyGen_Send + 674 67 0x55b857dcae69p _PyEval_EvalFrameDefault + 6777 68 0x55b857d6b592p _PyGen_Send + 674 69 0x55b857dcae69p _PyEval_EvalFrameDefault + 6777 70 0x55b857d6b592p _PyGen_Send + 674 71 0x55b857d6257dp _PyMethodDef_RawFastCallKeywords + 141 72 0x55b857d6a3cfp _PyMethodDescr_FastCallKeywords + 79 73 0x55b857dce07cp _PyEval_EvalFrameDefault + 19596 74 0x55b857d61ccbp _PyFunction_FastCallKeywords + 251 75 0x55b857dc9806p _PyEval_EvalFrameDefault + 1046 76 0x55b857d61ccbp _PyFunction_FastCallKeywords + 251 77 0x55b857dc9a93p _PyEval_EvalFrameDefault + 1699 78 0x55b857d12539p _PyEval_EvalCodeWithName + 761 79 0x55b857d13860p _PyFunction_FastCallDict + 1024 80 0x55b857d31e53p _PyObject_Call_Prepend + 99 81 0x55b857d24dbep PyObject_Call + 110 82 0x55b857dcb232p _PyEval_EvalFrameDefault + 7746 83 0x55b857d1281ap _PyEval_EvalCodeWithName + 1498 84 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 85 0x55b857dca8ccp _PyEval_EvalFrameDefault + 5340 86 0x55b857d6b059p 87 0x55b857d625d9p _PyMethodDef_RawFastCallKeywords + 233 88 0x55b857d62861p _PyCFunction_FastCallKeywords + 33 89 0x55b857dcdb94p _PyEval_EvalFrameDefault + 18340 90 0x55b857d12d09p _PyEval_EvalCodeWithName + 2761 91 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 92 0x55b857dc9a93p _PyEval_EvalFrameDefault + 1699 93 0x55b857d6b059p 94 0x55b857d625d9p _PyMethodDef_RawFastCallKeywords + 233 95 0x55b857d62861p _PyCFunction_FastCallKeywords + 33 96 0x55b857dcdb94p _PyEval_EvalFrameDefault + 18340 97 0x55b857d12d09p _PyEval_EvalCodeWithName + 2761 98 0x55b857d61f57p _PyFunction_FastCallKeywords + 903 99 0x55b857dc9806p _PyEval_EvalFrameDefault + 1046