switch r {
		default:
			if !opsetGen(r) {
				ctxt.Diag("unknown op in build: %v", r)
				log.Fatalf("instruction missing from switch in asm9.go:buildop: %v", r)
			}

		case ADCBF: /* unary indexed: op (b+a); op (b) */
			opset(ADCBI, r0)

			opset(ADCBST, r0)
			opset(ADCBT, r0)
			opset(ADCBTST, r0)
			opset(ADCBZ, r0)
			opset(AICBI, r0)

  func.return %0 : tensor<4x?xf32>
}

//===----------------------------------------------------------------------===//
// Unary op legalizations.
//===----------------------------------------------------------------------===//

// -----

// CHECK-LABEL: @abs
func.func @abs(%arg0: tensor<2xf32>) -> tensor<2xf32> {

		return s.variable(n, types.Types[types.TBOOL])
	case ir.OCOMPLEX:
		n := n.(*ir.BinaryExpr)
		r := s.expr(n.X)
		i := s.expr(n.Y)
		return s.newValue2(ssa.OpComplexMake, n.Type(), r, i)

	// unary ops
	case ir.ONEG:
		n := n.(*ir.UnaryExpr)
		a := s.expr(n.X)
		if n.Type().IsComplex() {
			tp := types.FloatForComplex(n.Type())
			negop := s.ssaOp(n.Op(), tp)

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with more than 2**32 elements.
    *   Unary GPU kernels: Abs, Atanh, Acos, Acosh, Asin, Asinh, Atan, Cos, Cosh, Sin, Sinh, Tan, Tanh.
    *   Binary GPU kernels: AddV2, Sub, Div, DivNoNan, Mul, MulNoNan, FloorDiv, Equal, NotEqual, Greater, GreaterEqual, LessEqual, Less.

is raised.

@compatibility(numpy)
Similar to [`numpy.einsum`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.einsum.html).

Comparison with `numpy.einsum`:

 * This Op only supports unary and binary forms of `numpy.einsum`.
 * This Op does not support implicit form. (i.e. equations without `->`).
 * This Op also supports repeated indices in the output subscript, which is not
   supported by `numpy.einsum`.