// if it can be read directly from memory or by CPU instructions.
// If the CPU name can not be determined an empty string is returned.
//
// Implementations that use the Operating System (e.g. sysctl or /sys/)
// to gather CPU information for display should be placed in internal/sysinfo.
func Name() string {
	// "A CPU has no name".
	return ""

        spec->biases_params[2] = {{0, 1},
                                  quant::GetUniformQuantizedTypeForBias};
      }
    } else if (function_name.contains("gather")) {
      // Note that gather has axis attribute that specifies channel axis.
      spec->coeff_op_quant_dim[0] = -1;
    }
    for (auto quantizable_operand : spec->coeff_op_quant_dim) {

	if err := rbacregistryvalidation.ConfirmNoEscalationInternal(ctx, s.ruleResolver, rules); err != nil {
		return nil, apierrors.NewForbidden(groupResource, clusterRole.Name, err)
	}
	// to set the aggregation rule, since it can gather anything, requires * on *.*
	if hasAggregationRule(clusterRole) {
		if err := rbacregistryvalidation.ConfirmNoEscalationInternal(ctx, s.ruleResolver, fullAuthority); err != nil {

  }

  LiftQuantizableSpotsAsFunctionsDRQPass(
      const LiftQuantizableSpotsAsFunctionsDRQPass& other) {
    quantization_method_ = other.quantization_method_;
    target_opset_ = other.target_opset_;
    min_num_elements_for_weights_ = other.min_num_elements_for_weights_;
  }

  StringRef getArgument() const final {
    // This is the argument used to refer to the pass in

  if [[ ${attempt} -gt 0 ]]; then
    sleep 15
  fi
  attempt=$((attempt+1))

  # The "kubectl get nodes -o template" exports node information.
  #
  # Echo the output and gather 2 counts:
  #  - Total number of nodes.
  #  - Number of "ready" nodes.
  #
  # Suppress errors from kubectl output because during cluster bootstrapping

    "FakeQuantWithMinMaxVars",
    "FakeQuantWithMinMaxVarsGradient",
    "FakeQuantWithMinMaxVarsPerChannel",
    "FakeQuantWithMinMaxVarsPerChannelGradient",
    "Fill",
    "Fingerprint",
    "Gather",
    "GuaranteeConst",
    "Identity",
    "IdentityN",
    "InplaceAdd",
    "InplaceSub",
    "InplaceUpdate",
    "InvertPermutation",
    "ListDiff",
    "MatrixBandPart",
    "MatrixDiag",

#
# Package c imports package a, and uses cgo itself.
# The generation of the _cgo_import.go for package c will fail,
# because it won't know that it has to link against a/libb.a
# (because we don't gather the #cgo LDFLAGS from all transitively
# imported packages).
#
# The _cgo_import.go file is only needed for internal linking.
# When generating _cgo_import.go for package c fails, an ordinary

IFS=' ' read -r -a GOBUILDFLAGS_ARRAY <<< "$GOBUILDFLAGS"

GCFLAGS=${GCFLAGS:-}
export CGO_ENABLED=${CGO_ENABLED:-0}

if [[ "${STATIC}" !=  "1" ]];then
    LDFLAGS=""
fi

# gather buildinfo if not already provided
# For a release build BUILDINFO should be produced
# at the beginning of the build and used throughout
if [[ -z ${BUILDINFO} ]];then
    BUILDINFO=$(mktemp)

        StartParameter startParameter = gradle.getStartParameter();

        if (startParameter.getTaskRequests().size() == 1 && startParameter.getTaskRequests().get(0) instanceof RunDefaultTasksExecutionRequest) {
            // Gather the default tasks from this first group project
            ProjectInternal project = gradle.getDefaultProject();

            //so that we don't miss out default tasks
            projectConfigurer.configure(project);

// 2) Inserted mhlo.reshape/transpose will be legalized to tf.reshape/transpose
// in LegalizeHloToTf (then from tf to tfl later).
// 3) If the operands are dynamic shaped tensors, mhlo.DynamicReshapeOp is
// inserted instead of the regular reshape, and additional ops (e.g. Gather,
// Concat ) are inserted for shape inference purposes.
// 4) All the DotOp are converted to DotGeneral during the optimization pass
// (ConvertDotOp).