TF_ShapeHandle* result = TF_NewShapeHandle();
  TF_ShapeInferenceContextGetInput(ctx, 0, result, status);
  if (TF_GetCode(status) == TF_OK &&
      !TF_ShapeInferenceContextRankKnown(ctx, result)) {
    TF_ShapeInferenceContextSetUnknownShape(ctx, status);
    TF_DeleteShapeHandle(result);
    return;
  }

  // Find the size of the input and output data types.
  TF_DataType input_type;
  TF_DataType output_type;

}

int TF_DimensionHandleValueKnown(TF_DimensionHandle* dim_handle) {
  return InferenceContext::ValueKnown(
      *reinterpret_cast<DimensionHandle*>(dim_handle));
}

void TF_ShapeInferenceContextSetUnknownShape(TF_ShapeInferenceContext* ctx,
                                             TF_Status* status) {
  Status s = ::tensorflow::shape_inference::UnknownShape(
      reinterpret_cast<InferenceContext*>(ctx));

// Places an unknown shape in all outputs for the given inference context. Used
// for shape inference functions with ops whose output shapes are unknown.
TF_CAPI_EXPORT extern void TF_ShapeInferenceContextSetUnknownShape(
    TF_ShapeInferenceContext* ctx, TF_Status* status);

// Returns whether the given handle represents a known dimension.
TF_CAPI_EXPORT extern int TF_DimensionHandleValueKnown(