input: 
  import numpy as np
  
  def filter_out_negative(matrix):
    """This function accepts a matrix as input and filters out all the negative numbers.
    Negative numbers are identified and replaced with 0. The function returns the modified matrix.
    Example:
    for filter_out_negative([[-1, 2, -3], [-4, 5, 6], [-7, 8, 9]])
    output will be: array([[0, 2, 0], [0, 5, 6], [0, 8, 9]])
    """
    # Convert matrix to numpy array
    matrix = np.array(matrix)
    # Find all negative numbers and set them to 0
    matrix[matrix < 0] = 0
    return matrix
  
output:     # Convert matrix to numpy array
      matrix = np.array(matrix)
      # Find all negative numbers and set them to 0
      matrix[matrix < 0] = 0
      return matrix