import tensorflow as tf

img1 = tf.constant(value=[[[[1],[2],[3],[4]],[[1],[2],[3],[4]],[[1],[2],[3],[4]],[[1],[2],[3],[4]]]],dtype=tf.float32)

img2 = tf.constant(value=[[[[1],[1],[1],[1]],[[1],[1],[1],[1]],[[1],[1],[1],[1]],[[1],[1],[1],[1]]]],dtype=tf.float32)

img = tf.concat(values=[img1,img2],axis=3)      #<class 'tensorflow.python.framework.ops.Tensor'>

sess=tf.Session()

#sess.run(tf.initialize_all_variables())

sess.run(tf.global_variables_initializer())

#转化为numpy数组

img_numpy=img.eval(session=sess) #<class 'numpy.ndarray'>

#转化为tensor

img_tensor= tf.convert_to_tensor(img_numpy) #<class 'tensorflow.python.framework.ops.Tensor'>