import tensorflow as tf


class NonParametricModel(object):

    def __init__(self, support_set):
        self.support_set = tf.constant(support_set)
        self.video_feature_ph = tf.placeholder(tf.float32, [1, support_set.
            shape[1]])
        logits = tf.matmul(a=self.support_set, b=self.video_feature_ph,
            transpose_b=True)
        self.prediction = tf.argmax(logits, 0)

3ba3ee151cfcfeae2c4d1162f5d54e06a7c73e44
<mask token>

<mask token>


class NonParametricModel(object):
    <mask token>

<mask token>


class NonParametricModel(object):

    def __init__(self, support_set):
        self.support_set = tf.constant(support_set)
        self.video_feature_ph = tf.placeholder(tf.float32, [1, support_set.
            shape[1]])
        logits = tf.matmul(a=self.support_set, b=self.video_feature_ph,
            transpose_b=True)
        self.prediction = tf.argmax(logits, 0)

import tensorflow as tf


class NonParametricModel(object):

    def __init__(self, support_set):
        self.support_set = tf.constant(support_set)
        self.video_feature_ph = tf.placeholder(tf.float32, [1, support_set.
            shape[1]])
        logits = tf.matmul(a=self.support_set, b=self.video_feature_ph,
            transpose_b=True)
        self.prediction = tf.argmax(logits, 0)
