// terminated at endBlock/Value.
func (state *debugState) writePendingEntry(varID VarID, endBlock, endValue ID) {
	pending := state.pendingEntries[varID]
	if !pending.present {
		return
	}

	// Pack the start/end coordinates into the start/end addresses
	// of the entry, for decoding by PutLocationList.
	start, startOK := encodeValue(state.ctxt, pending.startBlock, pending.startValue)

  // CHECK: "tf.ConcatV2"(%[[INP0]], %[[INP1]], %[[AXIS]]) : (tensor<1x3x5xf32>, tensor<1x3x5xf32>, tensor<i64>) -> tensor<2x3x5xf32>

  %0 = "tf.Pack"(%arg0, %arg1) : (tensor<3x5xf32>, tensor<3x5xf32>) -> tensor<2x3x5xf32>
  func.return %0 : tensor<2x3x5xf32>
}

// CHECK-LABEL: func @square
func.func @square(%arg0: tensor<3xf32>) -> tensor<3xf32> {

  const bool fully_quantize = !allow_float;

  flatbuffers::FlatBufferBuilder input_builder;
  tflite::FinishModelBuffer(input_builder,
                            tflite::Model::Pack(input_builder, model));

  const std::string input_buffer(
      reinterpret_cast<const char*>(input_builder.GetBufferPointer()),
      input_builder.GetSize());
  auto status = mlir::lite::QuantizeModel(

		x = -x
	}
	return x, nil
}

// The "std" value passed to appendNano contains two packed fields: the number of
// digits after the decimal and the separator character (period or comma).
// These functions pack and unpack that variable.
func stdFracSecond(code, n, c int) int {
	// Use 0xfff to make the failure case even more absurd.
	if c == '.' {
		return code | ((n & 0xfff) << stdArgShift)
	}

// with a TR1 tuple implementation.  NVIDIA's CUDA NVCC compiler
// pretends to be GCC by defining __GNUC__ and friends, but cannot
// compile GCC's tuple implementation.  MSVC 2008 (9.0) provides TR1
// tuple in a 323 MB Feature Pack download, which we cannot assume the
// user has.  QNX's QCC compiler is a modified GCC but it doesn't
// support TR1 tuple.  libc++ only provides std::tuple, in C++11 mode,

			cmd = append(cmd, asms...)
			_, err = runcmd(cmd...)
			if err != nil {
				return err
			}
			objs = append(objs, "asm.o")
		}
		cmd = []string{goTool, "tool", "pack", "c", "all.a"}
		cmd = append(cmd, objs...)
		_, err = runcmd(cmd...)
		if err != nil {
			return err
		}
		cmd = []string{goTool, "tool", "link", "-importcfg=" + stdlibImportcfgFile(), "-o", "a.exe", "all.a"}

      "Transpose", "ZerosLike", "OnesLike", "BiasAdd" /*PW + Broadcast*/,
      "BroadcastArgs", "BroadcastGradientArgs", "OneHot", "Concat", "ConcatV2",
      "ConcatOffset", "Const", "MirrorPad", "MirrorPadGrad", "Pack", "Pad",
      "PadV2", "Reverse", "ReverseV2", "ReverseSequence", "Slice", "Split",
      "SplitV", "StridedSlice", "StridedSliceGrad",
      "ResourceStridedSliceAssign", "Tile", "Transpose", "InvertPermutation",

// with a TR1 tuple implementation.  NVIDIA's CUDA NVCC compiler
// pretends to be GCC by defining __GNUC__ and friends, but cannot
// compile GCC's tuple implementation.  MSVC 2008 (9.0) provides TR1
// tuple in a 323 MB Feature Pack download, which we cannot assume the
// user has.  QNX's QCC compiler is a modified GCC but it doesn't
// support TR1 tuple.  libc++ only provides std::tuple, in C++11 mode,

  Append(tmp_body_results, core_tpu_res_im1);
  Append(tmp_body_results, non_tpu_res_i);
  Append(tmp_body_results, {C_im1, C_i, C_ip1});

  llvm::SetVector<Value> new_body_results;
  // This should pack the same as deduping code above.
  new_body_results.insert(tmp_body_results.begin(), tmp_body_results.end());
  auto new_body_return_types = GetValueTypes(new_body_results);

// FcntlFlock performs a fcntl syscall for the F_GETLK, F_SETLK or F_SETLKW command.
func FcntlFlock(fd uintptr, cmd int, lk *Flock_t) error {
	// struct flock is packed on z/OS. We can't emulate that in Go so
	// instead we pack it here.
	var flock [24]byte
	*(*int16)(unsafe.Pointer(&flock[0])) = lk.Type
	*(*int16)(unsafe.Pointer(&flock[2])) = lk.Whence
	*(*int64)(unsafe.Pointer(&flock[4])) = lk.Start