Run({{func_feed, Int32Tensor(3)}}, {{func_op, 0}, {func_op, 1}}, {5, 5});
  VerifyFDef({"add_1"}, M({{"feed1"}, {"feed2"}}), M({{"add"}, {"add_0"}}),
             {{"feed1", "add_1:0"},
              {"feed2", "add_1:1"},
              {"add_1:sum:0", "add"},
              {"add_1:sum:0", "add_0"}},
             {});
}

TEST_F(CApiFunctionTest, TwoDuplicateOutputs_OutputNames) {
  /*

				t.Fatalf("Test %d: failed with different error, expected: '%v', found:'%v'.", i+1, testCase.expectedErr, err)
			}
		}
	}
}

func TestSameLocalAddrs(t *testing.T) {
	testCases := []struct {
		addr1       string
		addr2       string
		sameAddr    bool
		expectedErr error
	}{
		{"", "", false, errors.New("unable to process empty address")},
		{":9000", ":9000", true, nil},

// formats, point to the same machine, e.g:
//
//	':9000' and 'http://localhost:9000/' will return true
func sameLocalAddrs(addr1, addr2 string) (bool, error) {
	// Extract host & port from given parameters
	host1, port1, err := extractHostPort(addr1)
	if err != nil {
		return false, err
	}
	host2, port2, err := extractHostPort(addr2)
	if err != nil {
		return false, err
	}

      "      attr {"
      "        key: 'dtype'"
      "        value {"
      "          type: DT_FLOAT"
      "        }"
      "      }"
      "    }"
      "    node_def {"
      "      name: 'add1'"
      "      op: 'Add'"
      "      input: 'read0:value:0'"
      "      input: 'read1:value:0'"
      "      attr {"
      "        key: 'T'"
      "        value {"
      "          type: DT_FLOAT"

  TF_DeleteTensor(tensor);
  TFE_DeleteTensorHandle(tensor_handle);

  tensorflow::AttrValue i_list_values;
  for (int i = 0; i < 4; ++i) {
    i_list_values.mutable_list()->add_i(1);
  }
  SetOpAttrValueScalar(ctx, op, i_list_values, "ksize", status);
  SetOpAttrValueScalar(ctx, op, i_list_values, "strides", status);

  tensorflow::AttrValue padding_value;

  }

  void SetViaProto(TF_OperationDescription* desc,
                   const std::vector<string>& list) {
    tensorflow::AttrValue attr;
    for (const string& v : list) {
      attr.mutable_list()->add_s(v);
    }
    string bytes;
    attr.SerializeToString(&bytes);
    TF_SetAttrValueProto(desc, tensorflow::kColocationAttrName, bytes.data(),
                         bytes.size(), s_);