input: Write a function to filter out all negative numbers from the given matrix and replace them with 0. If the matrix is empty, return an empty matrix.
  assert filter_out_negative([[-1, 2, -3], [-4, 5, 6], [-7, 8, 9]]) == np.array([[0, 2, 0], [0, 5, 6], [0, 8, 9]])
  assert filter_out_negative([[1, -2], [3, 4]]) == np.array([[1, 0], [3, 4]])
  assert filter_out_negative([]) == []
output: def filter_out_negative(matrix):
      if not matrix:
          return []
      return [[0 if x < 0 else x for x in row] for row in matrix]