code: public static INDArray invert(INDArray arr, boolean inPlace) {
          if(arr.rank() == 2 && arr.length() == 1){
              //[1,1] edge case. Matrix inversion: [x] * [1/x] = [1]
              if(inPlace){
                  return arr.rdivi(1.0);
              } else {
                  return arr.rdiv(1.0);
              }
          }
          if (!arr.isSquare()) {
              throw new IllegalArgumentException("invalid array: must be square matrix");
          }
  
          //FIX ME: Please
         /* int[] IPIV = new int[arr.length() + 1];
          int LWORK = arr.length() * arr.length();
          INDArray WORK = Nd4j.create(new double[LWORK]);
          INDArray inverse = inPlace ? arr : arr.dup();
          Nd4j.getBlasWrapper().lapack().getrf(arr);
          Nd4j.getBlasWrapper().lapack().getri(arr.size(0),inverse,arr.size(0),IPIV,WORK,LWORK,0);*/
  
          RealMatrix rm = CheckUtil.convertToApacheMatrix(arr);
          RealMatrix rmInverse = new LUDecomposition(rm).getSolver().getInverse();
  
  
          INDArray inverse = CheckUtil.convertFromApacheMatrix(rmInverse, arr.dataType());
          if (inPlace)
              arr.assign(inverse);
          return inverse;
  
      }
docs: Inverts a matrix
  @param arr the array to invert
  @param inPlace Whether to store the result in {@code arr}
  @return the inverted matrix