How to input two different data format when training?

[vitahsu]

Hi, this is a perfect project!
BUT!! I have some problem that i want to input [.jpg, .npy] as my input data format. (Because my training data is .jpg and .npy file)
I have traced code and found i can change the code of def load_examples .
I also survey how to use tf.train.slice_input_producer to load two data at the same time.

SO I try to revise the code bellow:
from original code
with tf.name_scope("load_images"):
path_queue = tf.train.string_input_producer(input_paths, shuffle=a.mode == "train")
reader = tf.WholeFileReader()
paths, contents = reader.read(path_queue)
raw_input = decode(contents)
raw_input = tf.image.convert_image_dtype(raw_input, dtype=tf.float32)
paths_batch, inputs_batch, targets_batch = tf.train.batch([paths, input_images, target_images], batch_size=a.batch_size)

to
with tf.name_scope("load_images"):
image_jpg_datas = io.imread(image_jpg_paths)
anotherimage_npy_datas= np.load(anotherimage_npy_paths)
path_queue = tf.train.slice_input_producer([image_jpg_datas, anotherimage_npy_datas], shuffle=a.mode == "train")
inputs_batch, targets_batch = tf.train.batch(path_queue, batch_size=a.batch_size)

and when i change my code i found that it will almost out of memory and the code will be killed. (data is around 60k)
I have no idea how can i input .jpg and .npy data format at the same time successfully.
Does anyone have some advises?
Thank you very much ><