as they are accessible.
</p>


<h3 id="Primary_expressions">Primary expressions</h3>

<p>
Primary expressions are the operands for unary and binary expressions.
</p>

<pre class="ebnf">
PrimaryExpr =
	Operand |
	Conversion |
	MethodExpr |
	PrimaryExpr Selector |
	PrimaryExpr Index |
	PrimaryExpr Slice |

		{name: "XORLconstmodifyidx8", argLength: 3, reg: gpstoreconstidx, asm: "XORL", scale: 8, aux: "SymValAndOff", typ: "Mem", clobberFlags: true, symEffect: "Read,Write"},

		// {NEG,NOT}x: unary ops
		// computes [NEG:-,NOT:^]arg0
		// L = int32, Q = int64
		// L operations zero the upper 4 bytes of the destination register.

// (x + y) / 2 with x>=y -> (x - y) / 2 + y
(Avg32u <t> x y) => (ADD (SRLconst <t> (SUB <t> x y) [1]) y)

(And(32|16|8) ...) => (AND ...)
(Or(32|16|8) ...) => (OR ...)
(Xor(32|16|8) ...) => (XOR ...)

// unary ops
(Neg(32|16|8) x) => (RSBconst [0] x)
(Neg(32|64)F ...) => (NEG(F|D) ...)

(Com(32|16|8) ...) => (MVN ...)

(Sqrt ...) => (SQRTD ...)
(Sqrt32 ...) => (SQRTF ...)
(Abs ...) => (ABSD ...)

// (x + y) / 2 with x>=y    =>    (x - y) / 2 + y
(Avg64u <t> x y) => (ADD (SRLconst <t> (SUB <t> x y) [1]) y)

(And(64|32|16|8) ...) => (AND ...)
(Or(64|32|16|8)  ...) => (OR ...)
(Xor(64|32|16|8) ...) => (XOR ...)

// unary ops
(Neg(64|32|16|8) ...) => (NEG ...)
(Neg(32|64)F     ...) => (FNEG(S|D) ...)
(Com(64|32|16|8) ...) => (MVN ...)

// math package intrinsics
(Abs         ...) => (FABSD   ...)
(Sqrt        ...) => (FSQRTD  ...)

// RUN: tf-opt -split-input-file -verify-diagnostics -tfl-runtime-verify %s | FileCheck %s

// Unary math ops
// -----

// CHECK-LABEL: testCos
func.func @testCos(tensor<? x f32>) -> tensor<? x f32> {
^bb0(%arg0: tensor<? x f32>):
  // CHECK: "tfl.cos"(%arg0)
  %0 = "tfl.cos"(%arg0): (tensor<? x f32>) -> tensor<? x f32>
  func.return %0 : tensor<? x f32>
}

// -----

// test invalid Cos input

		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`.