func (v Value) SetUint(x uint64) {
	v.mustBeAssignable()
	switch k := v.kind(); k {
	default:
		panic(&ValueError{"reflect.Value.SetUint", v.kind()})
	case Uint:
		*(*uint)(v.ptr) = uint(x)
	case Uint8:
		*(*uint8)(v.ptr) = uint8(x)
	case Uint16:
		*(*uint16)(v.ptr) = uint16(x)
	case Uint32:

    int num_elements;
    if (elem_type.isUnsignedInteger()) {
      uint64_t start = start_attr.getUInt();
      uint64_t limit = limit_attr.getUInt();
      uint64_t delta = delta_attr.getUInt();
      assert(start <= (uint64_t)INT_MAX);
      assert(limit <= (uint64_t)INT_MAX);
      assert(delta <= (uint64_t)INT_MAX);
      num_elements =

      int64_t output_spatial_size =
          align_corners ? output_spatial - 1 : output_spatial;

      int64_t gcd =
          tensorflow::MathUtil::GCD(static_cast<uint64_t>(input_spatial_size),
                                    static_cast<uint64_t>(output_spatial_size));
      if ((input_spatial_size % gcd != 0) ||
          (input_spatial_size / gcd != stride) || (dilation - 1 != padding)) {
        return false;
      }

func (t *caseTrie) lookupValue(n uint32, b byte) uint16 {
	switch {
	case n < 20:
		return uint16(caseValues[n<<6+uint32(b)])
	default:
		n -= 20
		return uint16(sparse.lookup(n, b))
	}
}

// caseValues: 22 blocks, 1408 entries, 2816 bytes
// The third block is the zero block.
var caseValues = [1408]uint16{
	// Block 0x0, offset 0x0
	0x27: 0x0054,
	0x2e: 0x0054,

func (t *caseTrie) lookupValue(n uint32, b byte) uint16 {
	switch {
	case n < 20:
		return uint16(caseValues[n<<6+uint32(b)])
	default:
		n -= 20
		return uint16(sparse.lookup(n, b))
	}
}

// caseValues: 22 blocks, 1408 entries, 2816 bytes
// The third block is the zero block.
var caseValues = [1408]uint16{
	// Block 0x0, offset 0x0
	0x27: 0x0054,
	0x2e: 0x0054,

	// Read resync meta header
	switch binary.LittleEndian.Uint16(data[0:2]) {
	case resyncMetaFormat:
	default:
		return brs, fmt.Errorf("resyncMeta: unknown format: %d", binary.LittleEndian.Uint16(data[0:2]))
	}
	switch binary.LittleEndian.Uint16(data[2:4]) {
	case resyncMetaVersion:
	default:
		return brs, fmt.Errorf("resyncMeta: unknown version: %d", binary.LittleEndian.Uint16(data[2:4]))
	}
	// OK, parse data.

func (t *caseTrie) lookupValue(n uint32, b byte) uint16 {
	switch {
	case n < 22:
		return uint16(caseValues[n<<6+uint32(b)])
	default:
		n -= 22
		return uint16(sparse.lookup(n, b))
	}
}

// caseValues: 24 blocks, 1536 entries, 3072 bytes
// The third block is the zero block.
var caseValues = [1536]uint16{
	// Block 0x0, offset 0x0
	0x27: 0x0054,
	0x2e: 0x0054,

		return LOP_IRR(OP_ORIS, uint32(r), REGZERO, uint32(v))
	}
	return AOP_IRR(OP_ADDIS, uint32(r), REGZERO, uint32(v))
}

func high16adjusted(d int32) uint16 {
	if d&0x8000 != 0 {
		return uint16((d >> 16) + 1)
	}
	return uint16(d >> 16)
}

func asmout(c *ctxt9, p *obj.Prog, o *Optab, out *[5]uint32) {
	o1 := uint32(0)
	o2 := uint32(0)
	o3 := uint32(0)
	o4 := uint32(0)

  }

  // The kernel will reshape the input tensor with new axis, it only supports
  // this reshaped tensor up to 5D.
  uint32_t ellipsis_mask = op.getEllipsisMask();
  uint32_t new_axis_mask = op.getNewAxisMask();
  int num_added_axis = 0;
  for (int i = 0; i < 8; ++i) {
    if (!((1 << i) & ellipsis_mask) && ((1 << i) & new_axis_mask)) {
      num_added_axis++;

		{name: "DIVLU", argLength: 2, reg: gp11div, typ: "(UInt32,UInt32)", asm: "DIVL", clobberFlags: true},
		{name: "DIVWU", argLength: 2, reg: gp11div, typ: "(UInt16,UInt16)", asm: "DIVW", clobberFlags: true},

		// computes -arg0, flags set for 0-arg0.
		{name: "NEGLflags", argLength: 1, reg: gp11flags, typ: "(UInt32,Flags)", asm: "NEGL", resultInArg0: true},