将大型numpy阵列送入张量流

I have a large numpy arrays (X) which I can load onto the CPU but it is too big for the GPU/Tensorflow.I would like to perform array operations on X using tensorflow so I break up the array into batches (using numpy), feed it to tensorflow, and then finally concatenate the final output arrays to give me the numpy array Y. I am new to tensorflow so I think there should be a better/faster way to feed in the numpy array. I have a large numpy arrays (X) which I can loa