AutoMappingByOpFn

Description

The callback function that implements automatic mapping.

Prototype

Status AutoMappingByOpFn(const ge::Operator &op_src, ge::Operator &op);

Parameters

For details about class Operator, see Operator.

Example

The following describes the scenario where the attributes of the original TensorFlow operator are one-to-one mapped to those of the equivalent supported by Ascend AI Processor.

REGISTER_CUSTOM_OP("SoftplusGrad")
.FrameworkType(TENSORFLOW)
.OriginOpType("SoftplusGrad")
.ParseParamsByOperatorFn(AutoMappingByOpFn)
.ImplyType(ImplyType::TVM);

The following describes the scenario where the attributes of the original TensorFlow operator cannot be mapped to those of the equivalent supported by Ascend AI Processor.

Status ParseResizeArea(const ge::Operator &op_src, ge::Operator& op)
  {
    AutoMappingByOpFn(op_src, op);

    ge::TensorDesc input_tensor = op.GetInputDesc("images");
    input_tensor.SetOriginFormat(ge::FORMAT_NHWC);
    input_tensor.SetFormat(ge::FORMAT_NHWC);
    auto ret = op.UpdateInputDesc("images", input_tensor);
    if(ret != ge::GRAPH_SUCCESS){
        return FAILED;
    }
    ge::TensorDesc output_tensor = op.GetOutputDesc("y");
    output_tensor.SetOriginFormat(ge::FORMAT_NHWC);
    output_tensor.SetFormat(ge::FORMAT_NHWC);
    auto ret_output = op.UpdateOutputDesc("y", output_tensor);
    if(ret_output != ge::GRAPH_SUCCESS){
        return FAILED;
    }
    return SUCCESS;
  }
// register ResizeArea op to GE
REGISTER_CUSTOM_OP("ResizeArea")
  .FrameworkType(TENSORFLOW)
  .OriginOpType("ResizeArea")
  .ParseParamsByOperatorFn(ParseResizeArea)
  .ImplyType(ImplyType::AI_CPU);