inception_v4_test.py 文件源码

def testBuildBaseNetwork(self):
    batch_size = 5
    height, width = 299, 299
    inputs = tf.random_uniform((batch_size, height, width, 3))
    net, end_points = inception.inception_v4_base(inputs)
    self.assertTrue(net.op.name.startswith(
        'InceptionV4/Mixed_7d'))
    self.assertListEqual(net.get_shape().as_list(), [batch_size, 8, 8, 1536])
    expected_endpoints = [
        'Conv2d_1a_3x3', 'Conv2d_2a_3x3', 'Conv2d_2b_3x3', 'Mixed_3a',
        'Mixed_4a', 'Mixed_5a', 'Mixed_5b', 'Mixed_5c', 'Mixed_5d',
        'Mixed_5e', 'Mixed_6a', 'Mixed_6b', 'Mixed_6c', 'Mixed_6d',
        'Mixed_6e', 'Mixed_6f', 'Mixed_6g', 'Mixed_6h', 'Mixed_7a',
        'Mixed_7b', 'Mixed_7c', 'Mixed_7d']
    self.assertItemsEqual(end_points.keys(), expected_endpoints)
    for name, op in end_points.iteritems():
      self.assertTrue(op.name.startswith('InceptionV4/' + name))