// it is not.
			l2 = (*[1 << arenaL2Bits]*heapArena)(sysAllocOS(unsafe.Sizeof(*l2)))
			if l2 == nil {
				throw("out of memory allocating heap arena map")
			}
			if h.arenasHugePages {
				sysHugePage(unsafe.Pointer(l2), unsafe.Sizeof(*l2))
			} else {
				sysNoHugePage(unsafe.Pointer(l2), unsafe.Sizeof(*l2))
			}

		// If there's no L1, then ri.l1() can't be out of bounds but ri.l2() can.
		if ri.l2() >= uint(len(mheap_.arenas[0])) {
			return nil
		}
	} else {
		// If there's an L1, then ri.l1() can be out of bounds but ri.l2() can't.
		if ri.l1() >= uint(len(mheap_.arenas)) {
			return nil
		}
	}
	l2 := mheap_.arenas[ri.l1()]
	if arenaL1Bits != 0 && l2 == nil { // Should never happen if there's no L1.
		return nil
	}

  "tf.ResourceApplyFtrl"(%var, %accum, %linear, %grad, %lr, %l1, %l2, %lr_power) {_xla_compile_device_type = "TPU", _replication_info = "cluster_train_function", device = "", multiply_linear_by_lr = false, use_locking = true} : (tensor<*x!tf_type.resource>,...

	return fmt.Sprintf("sm,SM,um,UM=%d,%d,%d,%d", l.min, l.max, l.umin, l.umax)
}

func (l limit) intersect(l2 limit) limit {
	if l.min < l2.min {
		l.min = l2.min
	}
	if l.umin < l2.umin {
		l.umin = l2.umin
	}
	if l.max > l2.max {
		l.max = l2.max
	}
	if l.umax > l2.umax {
		l.umax = l2.umax
	}
	return l
}

var noLimit = limit{math.MinInt64, math.MaxInt64, 0, math.MaxUint64}

15.425,7.275 L12.325,10.375"/><path fill="none" stroke="#000" stroke-width="1.1" d="M7.925,11.875 L11.925,7.975"/></svg>',linkedin:'<svg width="20" height="20" viewBox="0 0 20 20" xmlns="http://www.w3.org/2000/svg"><path d="M5.77,17.89 L5.77,7.17 L2.21,7.17 L2.21,17.89 L5.77,17.89 L5.77,17.89 Z M3.99,5.71 C5.23,5.71 6.01,4.89 6.01,3.86 C5.99,2.8 5.24,2 4.02,2 C2.8,2 2,2.8 2,3.85 C2,4.88 2.77,5.7 3.97,5.7 L3.99,5.7 L3.99,5.71 L3.99,5.71 Z"/><path d="M7.75,17.89 L11.31,17.89 L11.31,11.9 C11.31,11.58 11.33,11.26...

  func.return %1 : tensor<1x6x6x16xf32>

// CHECK: %[[in:.*]] = "tfl.dequantize"(%arg0)
// CHECK: %[[l2:.*]] = "tfl.l2_normalization"(%[[in]])
// CHECK: %[[q:.*]] = "tfl.quantize"(%[[l2]]) <{qtype = tensor<1x6x6x16x!quant.uniform<u8:f32, 7.812500e-03:128>>}> {volatile}
// CHECK: %[[dq:.*]] = "tfl.dequantize"(%[[q]])
// CHECK: return %[[dq]] : tensor<1x6x6x16xf32>
}

  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}


def TF_L2LossOp : TF_Op<"L2Loss", [Pure]> {
  let summary = "L2 Loss.";

  let description = [{
Computes half the L2 norm of a tensor without the `sqrt`:

    output = sum(t ** 2) / 2
  }];

  let arguments = (ins
    Arg<TF_FloatTensor, [{Typically 2-D, but may have any dimensions.}]>:$x

						"otherField": "otherValue",
					}},
				applyPatchOperation{
					"make maxField shorter",
					myCRDV1Beta1, myCRDInstanceName, map[string]interface{}{
						"maxField": "l2",
					}},
				expectError{
					applyPatchOperation{
						"make maxField too long",
						myCRDV1Beta1, myCRDInstanceName, map[string]interface{}{
							"maxField": "valuewithlength17",
						}}},

      priority: 10
      type: string
    name: v1beta1
    schema:
      openAPIV3Schema:
        description: L2Advertisement allows to advertise the LoadBalancer IPs provided
          by the selected pools via L2.
        properties:
          apiVersion:
            description: 'APIVersion defines the versioned schema of this representation
              of an object. Servers should convert recognized schemas to the latest

func pkgPath(n abi.Name) string {
	if n.Bytes == nil || *n.DataChecked(0, "name flag field")&(1<<2) == 0 {
		return ""
	}
	i, l := n.ReadVarint(1)
	off := 1 + i + l
	if n.HasTag() {
		i2, l2 := n.ReadVarint(off)
		off += i2 + l2
	}
	var nameOff int32
	// Note that this field may not be aligned in memory,
	// so we cannot use a direct int32 assignment here.