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Tensorflow 1.5.0 manylinux binary requires Numpy 1.14.1 #17301

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esc opened this issue Feb 27, 2018 · 10 comments
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Tensorflow 1.5.0 manylinux binary requires Numpy 1.14.1 #17301

esc opened this issue Feb 27, 2018 · 10 comments
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@esc
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esc commented Feb 27, 2018

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:

RuntimeError: module compiled against API version 0xc but this version of numpy is 0xb

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:

$ pip install -U numpy
Collecting numpy
  Downloading numpy-1.14.1-cp36-cp36m-manylinux1_x86_64.whl (12.2MB)
    100% |████████████████████████████████| 12.2MB 57kB/s 
Installing collected packages: numpy
  Found existing installation: numpy 1.13.3
    Uninstalling numpy-1.13.3:
      Successfully uninstalled numpy-1.13.3
Successfully installed numpy-1.14.1

Please set the minimum version for Tensorflow 1.5.0 on Python 3.6 to Numpy 1.14.1. Thanks!

@tensorflowbutler tensorflowbutler added the stat:awaiting response Status - Awaiting response from author label Mar 3, 2018
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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
OS Platform and Distribution
TensorFlow installed from
TensorFlow version
Bazel version
CUDA/cuDNN version
GPU model and memory
Exact command to reproduce

@esc
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esc commented Mar 3, 2018

Have I written custom code : no
OS Platform and Distribution : Linux - Travis-CI - Trusty
TensorFlow installed from : PyPi
TensorFlow version: 1.5.0 (Python 3.6)
Bazel version : N/A
CUDA/cuDNN version : N/A
GPU model and memory : N/A
Exact command to reproduce : N/A

@tensorflowbutler tensorflowbutler removed the stat:awaiting response Status - Awaiting response from author label Mar 3, 2018
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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.

@bignamehyp bignamehyp added the stat:awaiting response Status - Awaiting response from author label Apr 25, 2018
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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?

@esc
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esc commented Apr 25, 2018

1.14.1

@tensorflowbutler tensorflowbutler removed the stat:awaiting response Status - Awaiting response from author label Apr 26, 2018
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@yifeif can you please take a look? Thanks

@bignamehyp bignamehyp added the stat:awaiting tensorflower Status - Awaiting response from tensorflower label May 2, 2018
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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.

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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.

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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.

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yifeif commented Jun 18, 2018

Thanks for reporting @esc. Sorry missed this one. From TF 1.6+, we have updated the numpy dependency to >=1.13.3. Closing this.

@yifeif yifeif closed this as completed Jun 18, 2018
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