loading text file and accessing data using tensorflow

Question

I have a text file of size (20480,8). I want the data in 4th column in to one array. I am able to do it using python as

file_pathname1 = os.path.join(os.path.expanduser('~'),'TF','1st_test', '20.10.22.12.09.13')
x= np.loadtext(file_pathname1)
y= x[:,4]
#print(np.shape(x))
print(np.shape(y))

I get the size of the y as (20480,)

but I am trying to copy the same as a tensor. How to access the data

file_pathname1 = os.path.join(os.path.expanduser('~'),'TF','1st_test', '20.10.22.12.09.13')
y = tf.read_file(file_pathname1)
sess = tf.Session()
sess.run(y)
print(y.get_shape())

I cant understand whether I have loaded the file correctly as I am getting it as empty array ()

Raady · Accepted Answer · 2017-01-09 15:04:05Z

1

found the solution posting if it helps someone

x1 = tf.constant(y,name = 'x1')
model = tf.initialize_all_variables()
with tf.Session() as session:
     session.run(model)
print(np.shape(session.run(x1)))

answered Jan 9, 2017 at 15:04

Raady

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