%cst_2 = arith.constant dense<1> : tensor<i32>
  %0 = "tf.AddV2"(%arg2, %cst_2) {T = i32, device = ""} : (tensor<*xi32>, tensor<i32>) -> tensor<*xi32>
  %1 = "tf.Transpose"(%arg3, %cst) {T = f32, Tperm = i32, device = ""} : (tensor<*xf32>, tensor<2xi32>) -> tensor<?x?xf32>
  %2 = "tf.Rank"(%arg3) : (tensor<*xf32>) -> tensor<i32>
  %3 = "tf.Range"(%2, %cst_0, %cst_1) : (tensor<i32>, tensor<i32>, tensor<i32>) -> tensor<?xi32>

      type.getShape(), isInvert ? invertPermutationVector(perm) : perm);
  return RankedTensorType::get(permutedShape, type.getElementType());
}

static RankedTensorType GetInvertPermutedTensorType(RankedTensorType type,
                                                    ArrayRef<int64_t> perm) {
  return GetPermutedTensorTypeHelper(type, perm, true /*isInvert*/);
}

static Value CreateTranspose(OpBuilder& builder, Value source,

// CHECK-LABEL: pushTposeAfterAddSimple
func.func @pushTposeAfterAddSimple(%arg0: tensor<2x3x4x5xf32>) -> tensor<5x2x3x4xf32> {
  %perm = arith.constant dense<[3, 0, 1, 2]> : tensor<4xi32>
  %0 = "tfl.transpose"(%arg0, %perm) : (tensor<2x3x4x5xf32>, tensor<4xi32>) -> tensor<5x2x3x4xf32>
  %cst = arith.constant dense<1.0> : tensor<5x2x3x4xf32>

	[]int{4, 2, 1, 3, 0},                // Perm(5)
	[]int{0, 2, 3, 1, 5, 4, 6, 7},       // Perm(8)
	[]int{2, 0, 8, 3, 4, 7, 6, 5, 1},    // Perm(9)
	[]int{0, 6, 5, 3, 8, 4, 1, 2, 9, 7}, // Perm(10)
	[]int{9, 14, 4, 11, 13, 8, 0, 6, 2, 12, 3, 7, 1, 10, 5, 15}, // Perm(16)
	[]int{},                             // Perm(0)
	[]int{0},                            // Perm(1)
	[]int{2, 4, 0, 3, 1},                // Perm(5)

#define NEEDS_ESPERM
#define P8_LXVB16X(RA,RB,VT) \
	LXVD2X	(RA+RB), VT \
	VPERM	VT, VT, ESPERM, VT

#define P8_STXVB16X(VS,RA,RB) \
	VPERM	VS, VS, ESPERM, TMP2 \
	STXVD2X	TMP2, (RA+RB)

#define XXBRD_ON_LE(VA,VT) \
	VPERM	VA, VA, ESPERM, VT

#  endif // defined(GOPPC64_power9)
#else
#define P8_LXVB16X(RA,RB,VT)  LXVD2X	(RA+RB), VT

      ConstOp perm =
          dyn_cast_or_null<ConstOp>(transpose.getOperand(1).getDefiningOp());
      if (!perm) return;

      // With the same permutation indices.
      auto dense_elem_attr = mlir::dyn_cast<DenseElementsAttr>(perm.getValue());
      if (!dense_elem_attr) return;

      if (!permutation_op) permutation_op = perm;

		// the specific bits we need.
		err := os.Chmod(dir, perm)
		if err != nil {
			return err
		}

		fileinfo, err = os.Lstat(dir)
		if err != nil {
			return err
		}

		if fileinfo.Mode().Perm() != perm.Perm() {
			klog.Errorf("Expected directory %q permissions to be: %s; got: %s", dir, perm.Perm(), fileinfo.Mode().Perm())
		}
	}

	return nil
}

// along with any necessary parents, and returns nil,
// or else returns an error.
// The permission bits perm (before umask) are used for all
// directories that MkdirAll creates.
// If path is already a directory, MkdirAll does nothing
// and returns nil.
func MkdirAll(path string, perm FileMode) error {
	// Fast path: if we can tell whether path is a directory or file, stop with success or error.
	dir, err := Stat(path)

		return err
	}
	defer in.Close()

	perm, err := in.Stat()
	if err != nil {
		return err
	}

	return AtomicWriteReader(filepath.Join(targetDir, targetFilename), in, perm.Mode())
}

func Copy(srcFilepath, targetDir, targetFilename string) error {
	in, err := os.Open(srcFilepath)
	if err != nil {
		return err
	}
	defer in.Close()

	perm, err := in.Stat()
	if err != nil {
		return err
	}

def ReorderTransposeDequantQuant :
      Pat<(TF_TransposeOp:$old_value
              (TFL_DequantizeOp (TFL_QuantizeOp $input, $qtype)), $perm),
          (TFL_DequantizeOp (TFL_QuantizeOp
                                (TF_TransposeOp $input, $perm),
                                (UpdateShapeWithAxis<-1> $qtype, $old_value))),
          [(CanUpdateShapeWithAxis<-1> $qtype, $old_value)]>;