New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Tensorflow 1.5.0 manylinux binary requires Numpy 1.14.1 #17301
Comments
Thank you for your post. We noticed you have not filled out the following field in the issue template. Could you update them if they are relevant in your case, or leave them as N/A? Thanks. |
Have I written custom code : no |
Nagging Assignee @bignamehyp: It has been 14 days with no activity and this issue has an assignee. Please update the label and/or status accordingly. |
I'm not sure we are officially support travis-CI. So what's the current minimum version for Tensorflow 1.5.0 on Python 3.6? |
|
@yifeif can you please take a look? Thanks |
Nagging Assignee @bignamehyp: It has been 14 days with no activity and this issue has an assignee. Please update the label and/or status accordingly. |
Nagging Assignee @bignamehyp: It has been 30 days with no activity and this issue has an assignee. Please update the label and/or status accordingly. |
Nagging Assignee @bignamehyp: It has been 45 days with no activity and this issue has an assignee. Please update the label and/or status accordingly. |
Thanks for reporting @esc. Sorry missed this one. From TF 1.6+, we have updated the numpy dependency to >=1.13.3. Closing this. |
On Travis-CI using Python 3.6 Numpy 1.13.2 is installed. Trying to use the
tensorflow
manylinux binary from PyPi will result in:A log from a broken build is here:
https://travis-ci.org/TwentyBN/ionn/jobs/344881411
Fixing the
.travis.yml
like so:https://github.com/TwentyBN/ionn/commit/24ced51bb26d78aa5fed265ed9196f47da4d7d6d
Produces a green build like here:
https://travis-ci.org/TwentyBN/ionn/jobs/346796560
Reading the build log, Numpy is updated like so:
Please set the minimum version for Tensorflow 1.5.0 on Python 3.6 to Numpy 1.14.1. Thanks!
The text was updated successfully, but these errors were encountered: