k_initializer = tf.contrib.layers.xavier_initializer()

This code initializes a variable called "k_initializer" using the Xavier initialization method, which is a popular method for initializing weights in deep neural networks. Xavier initialization aims to set the initial weights in a way that ensures the gradients flow smoothly through the network during training. This can help prevent issues such as vanishing or exploding gradients, which can make it difficult to train a deep neural network effectively. The variable "k_initializer" can be used to initialize the weights of a neural network layer.