TF_Graph* graph = TF_NewGraph();

  // Make a placeholder operation.
  TF_Operation* feed = Placeholder(graph, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Make a constant operation with the scalar "2".
  TF_Operation* two = ScalarConst(2, graph, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Add operation.
  TF_Operation* add = Add(feed, two, graph, s);

  TFE_DeleteContext(ctx);
}

tensorflow::AttrValueMap ExtractAttrs(TFE_Op* op) {
  tensorflow::AttrValueMap attr_values;
  tensorflow::EagerOperation* operation =
      tensorflow::OperationFromInterface(tensorflow::unwrap(op));
  operation->Attrs().FillAttrValueMap(&attr_values);
  return attr_values;
}

TEST(CAPI, TestTFE_OpInferSingleInputAttrs) {
  TF_Status* status = TF_NewStatus();

   *                 v   v
   */
  // Define
  TF_Operation* feed1 = Placeholder(func_graph_, s_, "feed1");
  TF_Operation* feed2 = Placeholder(func_graph_, s_, "feed2");
  Define(-1, {}, {feed1, feed2}, {feed2, feed1}, {});

  // Use, run, and verify
  TF_Operation* two = ScalarConst(2, host_graph_, s_);
  TF_Operation* func_feed = Placeholder(host_graph_, s_);
  TF_Operation* func_op = Use({two, func_feed});

/// properly handle the cases when an operation is not supported (i.e., return
/// the corresponding `Status` value).
///
/// REQUIRED OPERATIONS: All required operations are marked as such, including
/// operations which are conditionally required. If the presence of an operation
/// `foo` requires operation `bar` to be present, this is specified in `foo`. If

TF_CAPI_EXPORT extern void TF_DeleteGraph(TF_Graph*);

// Operation being built. The underlying graph must outlive this.
typedef struct TF_OperationDescription TF_OperationDescription;

// Operation that has been added to the graph. Valid until the graph is
// deleted -- in particular adding a new operation to the graph does not
// invalidate old TF_Operation* pointers.
typedef struct TF_Operation TF_Operation;