layers_test.py 文件源码

def testVertConvWithVaryingImage(self):
    image = np.asmatrix(('1.0 2.0 3.0;'
                         '1.1 2.0 4.0;'
                         '-4.3 0.0 8.9'))

    expected = np.asmatrix(('-0.1 0.0 -1.0;'
                            ' 5.4 2.0 -4.9'))
    expected = np.reshape(np.asarray(expected), (1, 2, 3, 1))

    tf_image = tf.constant(image, shape=(1, 3, 3, 1), dtype=tf.float32)
    vert_gradients = tf.contrib.layers.conv2d_in_plane(
        tf_image,
        weights_initializer=tf.constant_initializer([1, -1]),
        kernel_size=[2, 1],
        padding='VALID',
        activation_fn=None)
    init_op = tf.global_variables_initializer()

    with self.test_session() as sess:
      sess.run(init_op)
      result = sess.run(vert_gradients)

      self.assertAllClose(result, expected, rtol=1e-5, atol=1e-5)