Created by: passenger20

ONNX由torch模型export获得，面向任务为信息抽取。在转成paddle文件后使用方法如下：

with fluid.dygraph.guard():
      for  batch in text_idx:
          text = fluid.dygraph.to_variable(np.array(batch))
          _,  outputs = x2paddle_net(text)

其中text的尺寸为201，报错如下：

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::operators::GetBroadcastDimsArrays(paddle::framework::DDim const&, paddle::framework::DDim const&, int*, int*, int*, int, int) 3 paddle::operators::ElementwiseOp::InferShape(paddle::framework::InferShapeContext*) const 4 paddle::imperative::PreparedOp::Run(paddle::imperative::NameVarBaseMap const&, paddle::imperative::NameVarBaseMap const&, paddle::framework::AttributeMap const&) 5 paddle::imperative::OpBase::Run(paddle::framework::OperatorBase const&, paddle::imperative::NameVarBaseMap const&, paddle::imperative::NameVarBaseMap const&, paddle::framework::AttributeMap const&, paddle::platform::Place const&) 6 paddle::imperative::Tracer::TraceOp(std::string const&, paddle::imperative::NameVarBaseMap const&, paddle::imperative::NameVarBaseMap const&, paddle::framework::AttributeMap, paddle::platform::Place const&, bool) 7 paddle::imperative::Tracer::TraceOp(std::string const&, paddle::imperative::NameVarBaseMap const&, paddle::imperative::NameVarBaseMap const&, paddle::framework::AttributeMap)

Error Message Summary:

InvalidArgumentError: Broadcast dimension mismatch. Operands could not be broadcast together with the shape of X = [1, 12, 201, 201] and the shape of Y = [201, 1, 1]. Received [12] in X is not equal to [201] 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 (/paddle/paddle/fluid/operators/elementwise/elementwise_op_function.h:160) [operator < elementwise_add > error]