def in_top_k(predictions, targets, k):
 return tf.nn.in_top_k(predictions, targets, k)

def in_top_k ( predictions , targets , k ) : return tf . nn . in_top_k ( predictions , targets , k )
returns whether the targets are in the top k predictions # arguments predictions: a tensor of shape batch_size x classess and type float32 .