ReferenceEntry<K, V> removeEntryFromChain(
        ReferenceEntry<K, V> first, ReferenceEntry<K, V> entry) {
      int newCount = count;
      ReferenceEntry<K, V> newFirst = entry.getNext();
      for (ReferenceEntry<K, V> e = first; e != entry; e = e.getNext()) {
        ReferenceEntry<K, V> next = copyEntry(e, newFirst);
        if (next != null) {
          newFirst = next;
        } else {
          removeCollectedEntry(e);

    ReferenceEntry<K, V> removeEntryFromChain(
        ReferenceEntry<K, V> first, ReferenceEntry<K, V> entry) {
      int newCount = count;
      ReferenceEntry<K, V> newFirst = entry.getNext();
      for (ReferenceEntry<K, V> e = first; e != entry; e = e.getNext()) {
        ReferenceEntry<K, V> next = copyEntry(e, newFirst);
        if (next != null) {
          newFirst = next;
        } else {
          removeCollectedEntry(e);

    }

    for (auto i = 0; i < window_strides.size(); ++i) {
      window_strides_vec.push_back(
          window_strides.getValues<IntegerAttr>()[i].getInt());
    }

    for (auto i = 0; i < base_dilations.size(); ++i) {
      base_dilations_vec.push_back(
          base_dilations.getValues<IntegerAttr>()[i].getInt());
    }

    inferredReturnTypes.assign({result_type});
    return success();
  }

  auto stride_h = op.getStrideHAttr().getInt();
  auto stride_w = op.getStrideWAttr().getInt();
  auto dilation_h = op.getDilationHFactorAttr().getInt();
  auto dilation_w = op.getDilationWFactorAttr().getInt();

  // We don't have EXPLICIT PADDING in TfLite.
  auto paddings = op.getPadding();
  tensorflow::Padding padding;

    regions.push_back(RegionSuccessor(
        &getNext(), getNext().front().getArguments().drop_back(n)));
  } else if (point.getRegionOrNull() == &getNext()) {
    // `next` branches to itself, or to `finalize`, passing all arguments given
    // to `next`s yield.

    // The number of values we're passing along.
    int num = getNext().front().getTerminator()->getNumOperands();

                           static_cast<int>(delta));
    } else {
      num_elements = GetLengthOfRange(start_attr.getInt(), limit_attr.getInt(),
                                      delta_attr.getInt());
    }
    return BuildConstRangeTensor(elem_type, num_elements, start_attr,
                                 delta_attr);
  } else if (elem_type.isa<FloatType>()) {

Method <org.gradle.api.ActionConfiguration.getParams()> does not have raw return type assignable to org.gradle.api.provider.Property in (ActionConfiguration.java:0)
Method <org.gradle.api.AntBuilder.getAnt()> does not have raw return type assignable to org.gradle.api.provider.Provider in (AntBuilder.java:0)
Method <org.gradle.api.AntBuilder.getLifecycleLogLevel()> does not have raw return type assignable to org.gradle.api.provider.Property in (AntBuilder.java:0)

		// keep both.
		etext := ldr.Lookup("runtime.etext", 0)
		edata := ldr.Lookup("runtime.edata", 0)
		end := ldr.Lookup("runtime.end", 0)
		ldr.SetSymExtname(etext, "runtime.etext")
		ldr.SetSymExtname(edata, "runtime.edata")
		ldr.SetSymExtname(end, "runtime.end")
		ctxt.xdefine("_etext", ldr.SymType(etext), ldr.SymValue(etext))
		ctxt.xdefine("_edata", ldr.SymType(edata), ldr.SymValue(edata))

HSPLkotlinx/coroutines/internal/LockFreeLinkedListNode;->finishAdd(Lkotlinx/coroutines/internal/LockFreeLinkedListNode;)V
HSPLkotlinx/coroutines/internal/LockFreeLinkedListNode;->getNext()Ljava/lang/Object;
HSPLkotlinx/coroutines/internal/LockFreeLinkedListNode;->getNextNode()Lkotlinx/coroutines/internal/LockFreeLinkedListNode;

// Ensures the given integer attribute has the given value.
class TFL_IntEqualsTo<int n> : AttrConstraint<
    CPred<"$_self.isa<IntegerAttr>() && "
            "$_self.cast<IntegerAttr>().getInt() == " # n>,
    "whose value is " # n>;

// Ensures the given LSTMKernelType attribute has the given value.
class TFL_LSTMKernelTypeEqualsTo<string value> : AttrConstraint<