张量流

我有以下图像:

import tensorflow as tf
tf.enable_eager_execution()
tf.executing_eagerly()    

img = Image.open('image.jpg')
try:
    data = np.asarray(img, dtype='uint8' )
except SystemError:
    data = np.asarray(img.getdata(), dtype='uint8' )

tf.shape(data)
<tf.Tensor: id=2, shape=(3,), dtype=int32, numpy=array([263, 320,   3], dtype=int32)>

image = tf.expand_dims(data, 0)
tf.shape(image)
<tf.Tensor: id=16, shape=(4,), dtype=int32, numpy=array([  1, 263, 320,   3], dtype=int32)>

 tf.squeeze(image, squeeze_dims=[0])
<tf.Tensor: id=22, shape=(263, 320, 3), dtype=uint8, numpy=...>

如何更换最后一个 tf.squeeze 使用类似的命令(例如: tf.reshape )?