cument,pt,function(t){if(i&&i(),ne(t)){var s=re(t),a="tagName"in t.target?t.target:t.target.parentNode;i=Gt(document,mt+" "+bt,function(t){var e=re(t),r=e.x,o=e.y;(a&&r&&100<Math.abs(s.x-r)||o&&100<Math.abs(s.y-o))&&setTimeout(function(){var t,e,i,n;Kt(a,"swipe"),Kt(a,"swipe"+(t=s.x,e=s.y,i=r,n=o,Math.abs(t-i)>=Math.abs(e-n)?0<t-i?"Left":"Right":0<e-n?"Up":"Down"))})}),"touchstart"==pt&&(Ve(document.body,"cursor","pointer"),Gt(document,mt+" "+bt,function(){return setTimeout(function(){return Ve(...

  // Refer to the implementation in
  // tensorflow/lite/kernels/range.cc.
  return std::is_integral<FloatOrInt>::value
             ? ((std::abs(limit - start) + std::abs(delta) - 1) /
                std::abs(delta))
             : std::ceil(std::abs((limit - start) / delta));
}

// Builds a constant range tensor of `result_elem_type` elements.
// Template parameter `FloatOrIntAtrr` must be mlir::IntegerAttr or

func.func @testValidIfRegionOp(%arg0: tensor<i1>, %arg1: tensor<2xf32>) -> tensor<2xf32> {
  %neg = "tf.Neg"(%arg1) : (tensor<2xf32>) -> tensor<2xf32>
  %0 = "tf.IfRegion"(%arg0) ({
     %t = "tf.Abs"(%arg1) : (tensor<2xf32>) -> tensor<2xf32>
     "tf.Yield"(%t) : (tensor<2xf32>) -> ()
    }, {
     %e = "tf.Acos"(%neg) : (tensor<2xf32>) -> tensor<2xf32>
     "tf.Yield"(%e) : (tensor<2xf32>) -> ()

	// UMULH <Xd>, <Xn>, <Xm>
	{0xffe08000, 0x9bc00000, UMULH, instArgs{arg_Xd, arg_Xn, arg_Xm}, nil},
	// ABS <V><d>, <V><n>
	{0xff3ffc00, 0x5e20b800, ABS, instArgs{arg_Vd_22_2__D_3, arg_Vn_22_2__D_3}, nil},
	// ABS <Vd>.<t>, <Vn>.<t>

  // Refer to the implementation in
  // tensorflow/lite/kernels/range.cc.
  FloatOrInt diff = limit - start;
  if (std::is_integral<FloatOrInt>::value) {
    return ((std::abs(diff) + std::abs(delta) - 1) / std::abs(delta));
  }
  return std::ceil(std::abs(diff / delta));
}

// Builds a constant range tensor of `result_elem_type` elements.
// Template parameter `FloatOrIntAtrr` must be mlir::IntegerAttr or
// mlir::FloatAttr.

}

// CHECK-LABEL: testUnaryIdempotent
func.func @testUnaryIdempotent(%arg0: tensor<4xf32>) -> (tensor<4xf32>) {
  // CHECK: tf.Abs
  // CHECK-NOT: tf.Abs
  %0 = "tf.Abs"(%arg0) : (tensor<4xf32>) -> tensor<4xf32>
  %1 = "tf.Abs"(%0) : (tensor<4xf32>) -> tensor<4xf32>
  func.return %1 : tensor<4xf32>
}

// CHECK-LABEL: testInvolution

// assuming they were originally relative to dir,
// and returns that new list.
func mkAbsFiles(dir string, files []string) []string {
	abs := make([]string, len(files))
	for i, f := range files {
		if !filepath.IsAbs(f) {
			f = filepath.Join(dir, f)
		}
		abs[i] = f
	}
	return abs
}

// passLongArgsInResponseFiles modifies cmd such that, for

// CHECK:  %3 = "tf.MaxPool"(%arg0)
// CHECK:  %4 = "tf.MaxPool"(%arg0)
}

func.func @abs(%arg0: tensor<8x16xf32>) -> tensor<8x16xf32> {
  %0 = "tf.Abs"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
  func.return %0 : tensor<8x16xf32>

// CHECK-LABEL:abs
// CHECK:  "tfl.abs"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
}

func.func @any(%arg0: tensor<2x2xi1>, %arg1: tensor<i32>) -> tensor<i1> {

}


//===----------------------------------------------------------------------===//
// TFL op definitions.
//===----------------------------------------------------------------------===//
def TFL_AbsOp : TFL_Op<"abs", [
    Pure,
    QuantizableResult,
    SameOperandsAndResultShape]> {
  let summary = "Absolute value operator";

  let description = [{

	perPodRequested := totalRequestedCPUOfAllPods / startPods

	// Force a minimal scaling event by satisfying  (tolerance < 1 - resourcesUsedRatio).
	target := math.Abs(1/(requestedToUsed*(1-defaultTestingTolerance))) + .01
	finalCPUPercentTarget := int32(target * 100)
	resourcesUsedRatio := float64(totalUsedCPUOfAllPods) / float64(float64(totalRequestedCPUOfAllPods)*target)