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

The sample code in official document is like this:

col1, col2, col3, col4, col5 = tf.decode_csv(value, record_defaults=record_defaults)

To read the file, I need to know how many columns and lines in the file beforehand, and if there are 1000 columns, I need to define 1000 variables like col1, col2, col3, col4, col5,..., col1000 , this doesn't look like an efficient way to read data.

My questions

1. What is the best way to read CSV files into Tensorflow ?

2. Is there any way to read Database (such as mongoDB) in Tensorflow ?

Answer 1

def func()
    return 1,2,3,4

b = func() 

print b #(1, 2, 3, 4)

print [num for num in b] # [1, 2, 3, 4]

Hi its nothing to do with tensorflow its simple python need not define 1000 variable. tf.decode_csv returns a tuple.

No idea on database handling, I think u can use python and just input the data in the form of array to the tensorflow.

Hope this is helpful