build_inception_v4.py 文件源码

def _block_a(net, scope='BlockA'):
    # 35 x 35 x 384 grid
    # default padding = SAME
    # default stride = 1
    with tf.variable_scope(scope):
        with tf.variable_scope('Br1_Pool'):
            br1 = layers.avg_pool2d(net, [3, 3], scope='Pool1_3x3')
            br1 = layers.conv2d(br1, 96, [1, 1], scope='Conv1_1x1')
        with tf.variable_scope('Br2_1x1'):
            br2 = layers.conv2d(net, 96, [1, 1], scope='Conv1_1x1')
        with tf.variable_scope('Br3_3x3'):
            br3 = layers.conv2d(net, 64, [1, 1], scope='Conv1_1x1')
            br3 = layers.conv2d(br3, 96, [3, 3], scope='Conv2_3x3')
        with tf.variable_scope('Br4_3x3Dbl'):
            br4 = layers.conv2d(net, 64, [1, 1], scope='Conv1_1x1')
            br4 = layers.conv2d(br4, 96, [3, 3], scope='Conv2_3x3')
            br4 = layers.conv2d(br4, 96, [3, 3], scope='Conv3_3x3')
        net = tf.concat(3, [br1, br2, br3, br4], name='Concat1')
        # 35 x 35 x 384
    return net