Reputation:
I am trying to call a function from tensorflow to decode a tiff image, while i am running the notebook on kaggle notebooks and in this line:
img = tfio.experimental.image.decode_tiff(img, channels=1)
It gives me the error:
AttributeError: in user code:
<ipython-input-5-d30698f56813>:11 load * img = tfio.experimental.image.decode_tiff(img, channels=1) AttributeError: module 'tensorflow.io' has no attribute 'experimental'
I'm currently importing tensorflow.io like this:
import tensorflow.io as tfio
And my current version of: print(f"Tensorflow ver. {tf.__version__}")
is
Tensorflow ver. 2.3.0
Upvotes: 4
Views: 6238
Reputation: 60319
Tensorflow I/O does not come with Tensorflow, and it must be installed separately via pip
; from the repo (emphasis mine):
TensorFlow I/O is a collection of file systems and file formats that are not available in TensorFlow's built-in support.
Moreover, it is not imported like that.
What you should do is install it via pip
:
!pip install tensorflow-io
and verify that you get the latest version v0.15.0, as it is currently the only one compatible with TF 2.3 (source):
import tensorflow_io as tfio
tfio.__version__
# 0.15.0
Notice the different import - tensorflow_io
, not tensorflow.io
; this is demonstrated also in the simple usage examples in Github.
Upvotes: 5