Is the input of `tf.image.resize_images` must have static shape?

Question

I run the code below, it raises an ValueError: \'images\' contains no shape. Therefore I have to add the line behind # to set the static shape, but

Answer 1

No, tf.image.resize_images can handle dynamic shape

file_queue = tf.train.string_input_producer(['./dog1.jpg'])
# shape of dog1.jpg is (720, 720)

reader = tf.WholeFileReader()
file_name, content = reader.read(file_queue)
img_raw = tf.image.decode_jpeg(content, 3) # size (?, ?, 3)  <= dynamic h and w
# img_raw.set_shape([227,227,3])
img_resized = tf.image.resize_images(img_raw, [227, 227])
img_shape = tf.shape(img_resized)

with tf.Session() as sess:
    print img_shape.eval() #[227, 227, 3]

BTW, I am using tf v0.12, and there is no function called tf.image.decode_image, but I don't think it is important