var info []caseInfo

		// Ready send.
		if x.Maybe() {
			ch, val := newop(len(cases), 1)
			cases = append(cases, SelectCase{
				Dir:  SelectSend,
				Chan: ch,
				Send: val,
			})
			info = append(info, caseInfo{desc: "ready send", canSelect: true})
		}

		// Ready recv.
		if x.Maybe() {
			ch, val := newop(len(cases), 1)
			ch.Send(val)
			cases = append(cases, SelectCase{

  return ConstFoldUnaryOp(result_type, operands[0], compute);
}

//===----------------------------------------------------------------------===//
// NegOp
//===----------------------------------------------------------------------===//

OpFoldResult NegOp::fold(FoldAdaptor adaptor) {
  auto operands = adaptor.getOperands();
  Type result_type = getType();
  // Only constant fold for tensor of f32 is implemented.

    auto new_op = rewriter.create<TF::IfRegionOp>(
        op.getLoc(), op->getResultTypes(), op.getPred(),
        /*is_stateless=*/false, /*_then_func_name=*/nullptr,
        /*_else_func_name=*/nullptr);
    new_op.getThenBranch().takeBody(op.getTrueBranch());
    new_op.getElseBranch().takeBody(op.getFalseBranch());
    ReplaceReturnOp(new_op.getThenBranch(), rewriter);

    }

    // If no pass through values are found, no change is required.
    if (result_to_extern_value.empty()) return failure();

    // Create new case/if region op.
    auto new_op = CreateTfOp<CaseOrIfRegionOp>(rewriter, op, new_result_types,
                                               op.getOperand(), op->getAttrs(),
                                               op.getNumRegions());

		} else {
			for i := range expected[x] {
				newEp := newMap[x][i]
				if newEp.String() != expected[x][i].endpoint ||
					newEp.IsLocal() != expected[x][i].isLocal {
					t.Errorf("[%d] expected new[%v][%d] to be %v, got %v", tci, x, i, expected[x][i], newEp)
				}
			}
		}
	}
}

func TestUpdateEndpointsMap(t *testing.T) {

		} else {
			for i := range expected[x] {
				newEp := newMap[x][i]
				if newEp.String() != expected[x][i].endpoint ||
					newEp.IsLocal() != expected[x][i].isLocal {
					t.Errorf("[%d] expected new[%v][%d] to be %v, got %v", tci, x, i, expected[x][i], newEp)
				}
			}
		}
	}
}

func Test_syncService(t *testing.T) {
	testCases := []struct {

    if (!IsBroadcastableElementsAttrAndType(new_type, filter.getType())) {
      return failure();
    }

    auto new_op =
        rewriter.create<arith::ConstantOp>(mul_op.getLoc(), new_type, new_cst);
    Value new_const_val = new_op.getResult();

    // Rewrite. Since the folder of TFL::MulOp couldn't broadcast the operands,
    // TF::MulOp is used to fold the constant.

};

#include "tensorflow/compiler/mlir/tensorflow/transforms/generated_canonicalize.inc"
}  // namespace

INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(NcclAllReduceOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(NegOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(OnesLikeOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(PreventGradientOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(QuantizeAndDequantizeOp);