code: import tensorflow as tf
  
  
  def cov(x):
      mean_x = tf.reduce_mean(x, axis=0, keepdims=True)
      mx = tf.matmul(tf.transpose(mean_x), mean_x)
      vx = tf.matmul(tf.transpose(x), x) / tf.cast(tf.shape(x)[0], tf.float64)
      cov_xx = vx - mx
      return cov_xx
  
  
  def inv_cov(x):
      return tf.linalg.inv(cov(x))
  
apis: tensorflow.transpose tensorflow.reduce_mean tensorflow.shape