I am trying to run this code:
from pandas.io.parsers.readers import read_table
from tensorflow.python.ops.gen_io_ops import read_file
t_x, t_y = next(valid_gen)
But I always get this error:
AttributeError: module 'tensorflow' has no attribute 'read_file'.
I found that in many comments they mention that the function has been moved into the tensorflow.io module. Any one can help me to resolve this issue ?
Thanks
Related
I am working on replacing Pandas library to Koalas Library in my python repo in VS Code. But Koalas module does not seem to have DateOffset() module similar to what pandas has.
I tried this :
import databricks.koalas as ks
kdf["date_col_2"] = kdf["date_col_1"] - ks.DateOffset(months=cycle_info_gap)
It results in the below error :
AttributeError: module 'databricks.koalas' has no attribute 'DateOffset'
Is there any alternative for this in Koalas?
this is my code...
import pymesh
mesh = pymesh.load_mesh("cube.stl");
I got error like this
mesh_B = pymesh.load_mesh("cube.stl");
AttributeError: module 'pymesh' has no attribute 'load_mesh'
please help me to fix this error...and guide me how to install and setup pymesh
Thankyou...
I am trying to use the library Deepbrain to extract brains from the entire MRIs scan I am using the code
def Reduce_Brain(img):
img_data = img.get_fdata()
prob = ext.run(img)
print(prob)
img = nib.load('ADNI_002_S_0295.nii')
Reduce_Brain(img)
however, when I tried this I got the error module 'tensorflow' has no attribute 'Session' which I found was an error to do with the wrong version of tensorflow so I then changed the library code as said in the other question (see below). but this produced more errors such as module 'tensorflow' has no attribute 'gfile'
Tensorflow 2.0 - AttributeError: module 'tensorflow' has no attribute 'Session'
https://github.com/iitzco/deepbrain
In TF 2.x you should use tf.compat.v1.Session() instead of tf.Session().
Take a look at Migrate_tf2 guide for more information
To get TF 1.x like behaviour in TF 2.0 add below code
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
I have used tensor-flow for ONE day, but there come some troubles, when I import tensor-flow, there would be AttributeError: 'module' object has no attribute 'variable'
I use Windows10, Python 3.5.3, Anaconda-3 4.4.0
here is my test code:
import tensorflow as tf
my_var = tf.Variable(tf.linspace(10.0, 13.0, 4))
with tf.Session() as sess:
print (sess.run(my_var))
I got this error:
Replace 'variable' with 'Variable', for example following code gives error:
initial_value=tf.random.normal(shape=(2,2))
a = tf.variable(initial_value)
print(a)
but this code gives successful output
initial_value=tf.random.normal(shape=(2,2))
a = tf.Variable(initial_value)
print(a)
It looks like you have written a module, random.py, which shadows the standard library's random module. Try renaming the file and check if the error goes away. You can tell it's importing your random.py at the bottom of the stacktrace you posted.
I used the example code in http://nipy.org/dipy/examples_built/segment_quickbundles.html; however I got module import error. Ninja said:
fvtk.add(r, fvtk.line(streamlines, fvtk.white, opacity=1, linewidth=3))
AttributeError: 'module' object has no attribute 'white'
any advice will be appreciated
Yeah - that was an error that existed in the documentation. It should have been:
fvtk.colors.white