the parameter 'num_channels' about tensorflow-triplet-loss HOT 2 CLOSED

num_channels = params.num_channels
bn_momentum = params.bn_momentum
channels = [num_channels, num_channels * 2]
for i, c in enumerate(channels):
    with tf.variable_scope('block_{}'.format(i+1)):
        out = tf.layers.conv2d(out, c, 3, padding='same')
        if params.use_batch_norm:
            out = tf.layers.batch_normalization(out, momentum=bn_momentum, training=is_training)
        out = tf.nn.relu(out)
        out = tf.layers.max_pooling2d(out, 2, 2)