terminate called after throwing an instance of 'paddle::platform::EnforceNotMet'
what():

Compile Traceback (most recent call last):
File "D:\Program Files\Python37\lib\runpy.py", line 193, in run_module_as_main
"main", mod_spec)
File "D:\Program Files\Python37\lib\runpy.py", line 85, in *run_code
exec(code, run_globals)
File "D:\workspace\Python\veinServer\venv\Scripts\x2paddle.exemain*.py", line 7, in
sys.exit(main())
File "d:\workspace\python\veinserver\venv\lib\site-packages\x2paddle\convert.py", line 335, in main
lite_model_type=args.lite_model_type)
File "d:\workspace\python\veinserver\venv\lib\site-packages\x2paddle\convert.py", line 161, in tf2paddle
mapper.paddle_graph.gen_model(save_dir)
File "d:\workspace\python\veinserver\venv\lib\site-packages\x2paddle\core\program.py", line 274, in gen_model
self.dygraph2static(save_dir, input_shapes, input_types)
File "d:\workspace\python\veinserver\venv\lib\site-packages\x2paddle\core\program.py", line 554, in dygraph2static
osp.join(save_dir, "inference_model/model"))
File "", line 2, in save

File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\wrapped_decorator.py", line 25, in __impl__
  return wrapped_func(*args, **kwargs)
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\dygraph\base.py", line 40, in __impl__
  return func(*args, **kwargs)
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\dygraph\jit.py", line 744, in save
  inner_input_spec)
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\dygraph\dygraph_to_static\program_translator.py", line 517, in concrete_program_specify_input_spec
  *desired_input_spec)
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\dygraph\dygraph_to_static\program_translator.py", line 427, in get_concrete_program
  concrete_program, partial_program_layer = self._program_cache[cache_key]
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\dygraph\dygraph_to_static\program_translator.py", line 744, in __getitem__
  self._caches[item] = self._build_once(item)
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\dygraph\dygraph_to_static\program_translator.py", line 735, in _build_once
  **cache_key.kwargs)
File "<decorator-gen-99>", line 2, in from_func_spec
  
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\wrapped_decorator.py", line 25, in __impl__
  return wrapped_func(*args, **kwargs)
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\dygraph\base.py", line 40, in __impl__
  return func(*args, **kwargs)
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\dygraph\dygraph_to_static\program_translator.py", line 683, in from_func_spec
  outputs = static_func(*inputs)
File "pd_model_fq\x2paddle_code.py", line 67, in forward
  vgg16_block3_conv3_Conv2D = self.conv6(vgg16_block3_conv2_Relu)
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\dygraph\layers.py", line 914, in __call__
  outputs = self.forward(*inputs, **kwargs)
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\nn\layer\conv.py", line 677, in forward
  use_cudnn=self._use_cudnn)
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\nn\functional\conv.py", line 157, in _conv_nd
  'use_mkldnn': use_mkldnn})
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\layer_helper.py", line 43, in append_op
  return self.main_program.current_block().append_op(*args, **kwargs)
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\framework.py", line 3184, in append_op
  attrs=kwargs.get("attrs", None))
File "d:\workspace\python\veinserver\venv\lib\site-packages\paddle\fluid\framework.py", line 2224, in __init__
  for frame in traceback.extract_stack():

C++ Traceback (most recent call last):

1 paddle::AnalysisPredictor::ZeroCopyRun()
2 paddle::framework::NaiveExecutor::Run()
3 paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, paddle::platform::Place const&)
4 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&) const
5 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&, paddle::framework::RuntimeContext*) const
6 paddle::operators::ElementwiseOp::InferShape(paddle::framework::InferShapeContext*) const
7 paddle::operators::GetBroadcastDimsArrays(paddle::framework::DDim const&, paddle::framework::DDim const&, int*, int*, int*, int, int)
8 paddle::platform::EnforceNotMet::EnforceNotMet(paddle::platform::ErrorSummary const&, char const*, int)
9 paddle::platform::GetCurrentTraceBackString abi:cxx11

Error Message Summary:

InvalidArgumentError: Broadcast dimension mismatch. Operands could not be broadcast together with the shape of X = [1, 64, 224, 224] and the shape of Y = [256]. Received [64] in X is not equal to [256] in Y at i:1.
[Hint: Expected x_dims_array[i] == y_dims_array[i] || x_dims_array[i] <= 1 || y_dims_array[i] <= 1 == true, but received x_dims_array[i] == y_dims_array[i] || x_dims_array[i] <= 1 || y_dims_array[i] <= 1:0 != true:1.] (at /root/soft/Paddle/paddle/fluid/operators/elementwise/elementwise_op_function.h:240)
[operator < elementwise_add > error]