Created by: Masterkmp

现在自定义网络bilstm+gcn 执行run_states = cls_task.finetune_and_eval()报错如下： ` /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py:1070: UserWarning: The following exception is not an EOF exception. "The following exception is not an EOF exception.") ---------------------------------------------------------------------------EnforceNotMet Traceback (most recent call last) in 1 #开始Finetune 2 print("忽略上面的的提示，这里已经对组网方式修改了，使用的并不是默认的bilstm!!!!") ----> 3 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) 943 944 def finetune_and_eval(self): --> 945 return self.finetune(do_eval=True) 946 947 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) 964 while self.current_epoch <= self.config.num_epoch: 965 self.config.strategy.step() --> 966 run_states = self._run(do_eval=do_eval) 967 self.env.current_epoch += 1 968 /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in _run(self, do_eval) 1210 feed=batch, 1211 fetch_list=self.fetch_list, -> 1212 return_numpy=self.return_numpy) 1213 if not self.return_numpy: 1214 fetch_result = [np.array(x) for x in fetch_result] /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py in run(self, program, feed, fetch_list, feed_var_name, fetch_var_name, scope, return_numpy, use_program_cache, return_merged, use_prune) 1069 warnings.warn( 1070 "The following exception is not an EOF exception.") -> 1071 six.reraise(*sys.exc_info()) 1072 1073 def _run_impl(self, program, feed, fetch_list, feed_var_name, /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/six.py in reraise(tp, value, tb) 701 if value.traceback is not tb: 702 raise value.with_traceback(tb) --> 703 raise value 704 finally: 705 value = None /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py in run(self, program, feed, fetch_list, feed_var_name, fetch_var_name, scope, return_numpy, use_program_cache, return_merged, use_prune) 1064 use_program_cache=use_program_cache, 1065 use_prune=use_prune, -> 1066 return_merged=return_merged) 1067 except Exception as e: 1068 if not isinstance(e, core.EOFException): /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py in _run_impl(self, program, feed, fetch_list, feed_var_name, fetch_var_name, scope, return_numpy, use_program_cache, return_merged, use_prune) 1165 fetch_var_name=fetch_var_name, 1166 return_numpy=return_numpy, -> 1167 return_merged=return_merged) 1168 1169 def _run_program(self, program, feed, fetch_list, feed_var_name, /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py in _run_parallel(self, program, scope, feed, fetch_list, fetch_var_name, return_numpy, return_merged) 877 878 fetch_var_names = list(map(_to_name_str, fetch_list)) --> 879 tensors = exe.run(fetch_var_names, return_merged)._move_to_list() 880 return as_numpy(tensors) if return_numpy else tensors 881 EnforceNotMet:

C++ Call Stacks (More useful to developers):

0 std::string paddle::platform::GetTraceBackString<std::string const&>(std::string const&, char const*, int) 1 paddle::platform::EnforceNotMet::EnforceNotMet(std::string const&, char const*, int) 2 paddle::framework::OperatorWithKernel::ParseInputDataType(paddle::framework::ExecutionContext const&, std::string const&, paddle::framework::proto::VarType_Type*) const 3 paddle::framework::OperatorWithKernel::IndicateDataType(paddle::framework::ExecutionContext const&) const 4 paddle::framework::OperatorWithKernel::GetExpectedKernelType(paddle::framework::ExecutionContext const&) const 5 paddle::operators::CastOp::GetExpectedKernelType(paddle::framework::ExecutionContext const&) const 6 paddle::framework::OperatorWithKernel::ChooseKernel(paddle::framework::RuntimeContext const&, paddle::framework::Scope const&, paddle::platform::Place const&) const 7 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&, paddle::framework::RuntimeContext*) const 8 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&) const 9 paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, paddle::platform::Place const&) 10 paddle::framework::details::ComputationOpHandle::RunImpl() 11 paddle::framework::details::FastThreadedSSAGraphExecutor::RunOpSync(paddle::framework::details::OpHandleBase*) 12 paddle::framework::details::FastThreadedSSAGraphExecutor::RunOp(paddle::framework::details::OpHandleBase*, std::shared_ptr<paddle::framework::BlockingQueue > const&, unsigned long*) 13 std::_Function_handler<std::unique_ptr<std::__future_base::_Result_base, std::__future_base::_Result_base::_Deleter> (), std::__future_base::_Task_setter<std::unique_ptr<std::__future_base::_Result, std::__future_base::_Result_base::_Deleter>, void> >::_M_invoke(std::_Any_data const&) 14 std::__future_base::_State_base::_M_do_set(std::function<std::unique_ptr<std::__future_base::_Result_base, std::__future_base::_Result_base::_Deleter> ()>&, bool&) 15 ThreadPool::ThreadPool(unsigned long)::{lambda()#1 (closed)}::operator()() const

Python Call Stacks (More useful to users):

File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py", line 2610, 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/tensor.py", line 281, in cast 'out_dtype': out.dtype}) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layers/utils.py", line 303, in _get_shape_tensor dim = cast(x=dim, dtype='int32') File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layers/utils.py", line 323, in _get_shape_tensor_inputs inputs['ShapeTensorList'] = _get_shape_tensor(shape) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/layers/tensor.py", line 735, in fill_constant op_type='fill_constant') File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/pgl/graph_wrapper.py", line 74, in recv shape=[num_nodes, output_dim], value=0, dtype=output.dtype) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/pgl/graph_wrapper.py", line 206, in recv num_nodes=self._num_nodes) File "", line 61, in gcn_layer output = gw.recv(msg, recv_func) File "", line 97, in BilstmGCN output1 = gcn_layer(gw, gw.node_feat['feature'], gw.edge_feat['edge_feature'], hidden_size=70, name='gcn_layer_1', activation='relu') File "", line 124, in _build_net cls_feats = net_func(unpad_feature) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 419, 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 545, 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 911, in load_checkpoint main_program=self.main_program) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 384, in init_if_necessary if not self.load_checkpoint(): File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 960, in finetune self.init_if_necessary() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 945, in finetune_and_eval return self.finetune(do_eval=True) File "", line 3, 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 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)

Error Message Summary:

InvalidArgumentError: The Tensor in the cast Op's Input Variable X(graph/num_nodes) is not initialized. [Hint: Expected t->IsInitialized() == true, but received t->IsInitialized():0 != true:1.] at (/paddle/paddle/fluid/framework/operator.cc:1289) [operator < cast > error] `