}

// Determines the output type of the `SliceOp` when it is being inserted in
// place of a `XlaGatherOp`. When the dimensions of `xla_gather_op_output_type`
// is known, the `collapsed_dims` are restored. `xla_gather_op_output_type` is
// the result of collapsing the `collapsed_dims`, but the `SliceOp`'s output
// should not have the dimensions collapsed already. Returns

// backing memory is read-only.
func (r *Reader) Slice(length uint64) ([]byte, bool, error) {
	if length == 0 {
		return []byte{}, false, nil
	}

	data, ok := r.sliceOS(length)
	if ok {
		return data, true, nil
	}

	data = make([]byte, length)
	_, err := io.ReadFull(r, data)
	if err != nil {
		return nil, false, err
	}
	return data, false, nil
}

                mlir::stablehlo::ReshapeOp, mlir::stablehlo::SelectOp,
                mlir::stablehlo::SliceOp, mlir::stablehlo::TransposeOp>(op)) {
    scale_spec->has_same_scale_requirement = true;
  }
  if (llvm::isa<mlir::stablehlo::DynamicSliceOp, mlir::stablehlo::GatherOp,
                mlir::stablehlo::PadOp, mlir::stablehlo::SliceOp>(op)) {
    scale_spec->has_same_operand_and_result_type_requirement = true;
  }
  return scale_spec;

  slice_size[0] = 1;
  auto size_const = GetR1Const(slice_size, builder, loc);
  auto slice_type = tensorflow::GetTypeFromTFTensorShape(
      slice_size, buffer_type.getElementType());
  auto slice = builder.create<TF::SliceOp>(
      loc, ArrayRef<Type>{slice_type},
      ArrayRef<Value>{buffer, GetIndicesForElement(index, buffer, builder, loc),
                      size_const});
  if (keep_slice_shape) return slice;

//	OpenBSD   unlimited
var mmapLimit int32 = 1<<31 - 1

func init() {
	// Linux is the only practically concerning OS.
	if runtime.GOOS == "linux" {
		mmapLimit = 30000
	}
}

func (r *Reader) sliceOS(length uint64) ([]byte, bool) {
	// For small slices, don't bother with the overhead of a
	// mapping, especially since we have no way to unmap it.
	const threshold = 16 << 10
	if length < threshold {
		return nil, false

// interface has been instantiated as its constraint may contain
// a type parameter that was substituted with a defined type.
// Test case from an (originally) failing example.

type sliceOf[E any] interface{ ~[]E }

func append[T interface{}, S sliceOf[T], T2 interface{}](s S, t ...T2) S { panic(0) }

var f           func()
var cancelSlice []context.CancelFunc

)

// This file contains the helper "MReader", a wrapper around bio plus
// an "mmap'd read-only" view of the file obtained from bio.SliceRO().
// MReader is designed to implement the io.ReaderSeeker interface.
// Since bio.SliceOS() is not guaranteed to succeed, MReader falls back
// on explicit reads + seeks provided by bio.Reader if needed.

type MReader struct {
	f        *os.File
	rdr      *bio.Reader
	fileView []byte
	off      int64
}

  Value packed_low_begin_value = CreateConstValue<int64_t>(
      builder, loc, {rank}, SmallVector<int64_t>(rank, 0));
  Value packed_low_value =
      builder.create<TF::SliceOp>(loc, packed_output_type, value,
                                  packed_low_begin_value, packed_shape_value);
  packed_low_value = builder.create<TF::BitwiseAndOp>(
      loc, packed_output_type, packed_low_value,

func GetRelationsValues(ctx context.Context, reflectValue reflect.Value, rels []*Relationship) (reflectResults reflect.Value) {
	for _, rel := range rels {
		reflectResults = reflect.MakeSlice(reflect.SliceOf(reflect.PtrTo(rel.FieldSchema.ModelType)), 0, 1)

		appendToResults := func(value reflect.Value) {
			if _, isZero := rel.Field.ValueOf(ctx, value); !isZero {
				result := reflect.Indirect(rel.Field.ReflectValueOf(ctx, value))

TAC_REGISTER_GPU_OP(ReluOp, CreateBasicOpNoCost);
TAC_REGISTER_GPU_OP(Relu6Op, CreateBasicOpNoCost);
TAC_REGISTER_GPU_OP(RsqrtOp, CreateBasicOpNoCost);
TAC_REGISTER_GPU_OP(SinOp, CreateBasicOpNoCost);
TAC_REGISTER_GPU_OP(SliceOp, CreateBasicOpNoCost);
TAC_REGISTER_GPU_OP(SoftmaxOp, CreateBasicOpNoCost);
TAC_REGISTER_GPU_OP(SpaceToDepthOp, CreateBasicOpNoCost);
TAC_REGISTER_GPU_OP(SqrtOp, CreateBasicOpNoCost);