How to read data into Tensorflow?

Question

I\'m trying to read data from CSV files to tensorflow,

https://www.tensorflow.org/versions/r0.7/how_tos/reading_data/index.html#filenames-shuffling-and-epoch-limits

Answer 1

of course you can implement to directly read batch random sort trained data from mongo to feed to tensorflow. below is my way:

        for step in range(self.steps):


            pageNum=1;
            while(True):
                trainArray,trainLabelsArray = loadBatchTrainDataFromMongo(****)
                if len(trainArray)==0:
                    logging.info("train datas consume up!")
                    break;
                logging.info("started to train")
                sess.run([model.train_op],
                         feed_dict={self.input: trainArray,
                                    self.output: np.asarray(trainLabelsArray),
                                    self.keep_prob: params['dropout_rate']})

                pageNum=pageNum+1;

and also you need preprocess trained data in mongodb, such like: assign each trained data in mongodb a random sort value...