Python tensorflow.unsorted_segment_min() Examples

The following are 1 code examples of tensorflow.unsorted_segment_min(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module tensorflow , or try the search function .
Example #1
Source File: nar_model.py    From chameleon_recsys with MIT License 6 votes vote down vote up 
def get_neg_items_click(self, valid_samples_session, num_neg_samples):
        #Shuffles neg. samples for each click
        valid_samples_shuffled = tf.random.shuffle(valid_samples_session)

        
        samples_unique_vals, samples_unique_idx = tf.unique(valid_samples_shuffled)

        #Returning first N unique items (to avoid repetition)
        first_unique_items = tf.unsorted_segment_min(data=valid_samples_shuffled,                   
                                           segment_ids=samples_unique_idx,                        
                                           num_segments=tf.shape(samples_unique_vals)[0])[:num_neg_samples]

        #Padding if necessary to keep the number of neg samples constant (ex: first batch)
        first_unique_items_padded_if_needed = tf.concat([first_unique_items, tf.zeros(num_neg_samples-tf.shape(first_unique_items)[0], tf.int64)], axis=0)

        return first_unique_items_padded_if_needed