Comments (3)
@gaikwadrahul8, the numpy version incompatible with TFDV is 1.24.0
which IS in the range of numpy>=1.16,<2
. Maybe numpy>=1.16,<2
should be numpy>=1.16,<1.24
before this incompatibility issue gets resolved.
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Hi, @daikeshi
As per release notes if you're using TensorFlow Data Validation 1.6.0 with TFX ==1.6.0
then you should go with numpy version as per this requirement numpy>=1.16,<2
, It seems like numpy version greater than and equal to 2.x does not support at the moment with TFX and shared libraries, even I tried with latest versions of TFX
and tensorflow-data-validation
and checked installation log for numpy version and it's showing the same requirement numpy>=1.16,<2
, you can check Gist file
I would recommend you to please go with numpy version numpy>=1.16,<2
and everything will work as expected
Could you please confirm if this issue is resolved for you ? Please feel free to close the issue if it is resolved ?
If issue still persists after trying above workaround, In order to expedite the trouble-shooting process, please provide a code snippet to reproduce the issue reported here.
Thank you!
from data-validation.
Hi, @daikeshi
I'm really sorry for the confusion and I tried to install both TFX==1.12.0
and tensorflow-data-validation==1.12.0
with latest versions and it seems like currently we only support numpy==1.22.4
at the moment, even I tried to install numpy
separately with version 1.24.0 but TFX
and tensorflow-data-validation
by default taking numpy==1.22.4
, for your reference I have added gist file here
I tried to install TFX
and tensorflow-data-validation
with version 1.6.x and by default it's taking numpy==1.21.6
We'll update you about numpy==1.24.0
support with TFX
and tensorflow-data-validation
here once I got update from our release team
Thank you!
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