Created by: Gs-Zhang

paddlepaddle版本是AIstudio上面的1.6，paddlehub升级为1.6，但是dataset选择的hub里的 “dogcat", 运行task.finrtune_and_eval()时，总是会报如下错误，数据类型错误。 `[2020-03-22 12:48:45,434] [ INFO] - Strategy with slanted triangle learning rate, L2 regularization, [2020-03-22 12:48:45,477] [ INFO] - Try loading checkpoint from cv_finetune_turtorial_demo/ckpt.meta [2020-03-22 12:48:45,478] [ INFO] - PaddleHub model checkpoint not found, start from scratch... [2020-03-22 12:48:45,513] [ INFO] - PaddleHub finetune start ---------------------------------------------------------------------------EnforceNotMet Traceback (most recent call last) in ----> 1 run_states = task.finetune() /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in finetune(self, do_eval) 882 while self.current_epoch <= self.config.num_epoch: 883 self.config.strategy.step() --> 884 run_states = self._run(do_eval=do_eval) 885 self.env.current_epoch += 1 886 /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py in _run(self, do_eval) 1075 feed=batch, 1076 fetch_list=self.fetch_list, -> 1077 return_numpy=self.return_numpy) 1078 if not self.return_numpy: 1079 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) 778 use_program_cache=use_program_cache) 779 except Exception as e: --> 780 if not isinstance(e, core.EOFException): 781 warnings.warn( 782 "The following exception is not an EOF exception.") /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/six.py in reraise(tp, value, tb) 691 if value.traceback is not tb: 692 raise value.with_traceback(tb) --> 693 raise value 694 finally: 695 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) 773 fetch_list=fetch_list, 774 feed_var_name=feed_var_name, --> 775 fetch_var_name=fetch_var_name, 776 scope=scope, 777 return_numpy=return_numpy, /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) 832 833 program._compile(scope, self.place) --> 834 if program._is_inference: 835 return self._run_inference(program._executor, feed) 836 else: /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) 672 res_dict[feed_name] = tensor 673 res.append(res_dict) --> 674 exe.feed_tensors_into_local_scopes(res) 675 676 fetch_var_names = list(map(_to_name_str, fetch_list)) EnforceNotMet:

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

0 std::string paddle::platform::GetTraceBackString<char const*>(char const*&&, char const*, int) 1 paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) 2 long const* paddle::framework::Tensor::data() const 3 paddle::operators::AccuracyOpCUDAKernel::Compute(paddle::framework::ExecutionContext const&) const 4 std::_Function_handler<void (paddle::framework::ExecutionContext const&), paddle::framework::OpKernelRegistrarFunctor<paddle::platform::CUDAPlace, false, 0ul, paddle::operators::AccuracyOpCUDAKernel, paddle::operators::AccuracyOpCUDAKernel, paddle::operators::AccuracyOpCUDAKernelpaddle::platform::float16 >::operator()(char const*, char const*, int) const::{lambda(paddle::framework::ExecutionContext const&)#1 (closed)}>::_M_invoke(std::_Any_data const&, paddle::framework::ExecutionContext const&) 5 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&, paddle::framework::RuntimeContext*) const 6 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&) const 7 paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, paddle::platform::Place const&) 8 paddle::framework::details::ComputationOpHandle::RunImpl() 9 paddle::framework::details::FastThreadedSSAGraphExecutor::RunOpSync(paddle::framework::details::OpHandleBase*) 10 paddle::framework::details::FastThreadedSSAGraphExecutor::RunOp(paddle::framework::details::OpHandleBase*, std::shared_ptr<paddle::framework::BlockingQueue > const&, unsigned long*) 11 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&) 12 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&) 13 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 2488, in append_op attrs = kwargs.get("attrs", {}) 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/metric_op.py", line 103, in accuracy if total is None: File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/classifier_task.py", line 86, in _add_metrics acc = fluid.layers.accuracy(input=self.outputs[0], label=self.labels[0]) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 405, in _build_env self.env.metrics = self._add_metrics() File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlehub/finetune/task/base_task.py", line 507, 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 832, 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 366, 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 878, in finetune self.init_if_necessary() File "", line 1, in run_states = task.finetune() 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:

Error: Tensor holds the wrong type, it holds float, but desires to be int64_t at (/paddle/paddle/fluid/framework/tensor_impl.h:30) [operator < accuracy > error]`