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I've been working for a while with tensorflow and now i'm doing the learning staff on the GPU using tensorflow-gpu, where it seems like I'm facing a release bug and someone said that using tf-nightly-gpu-2.0-preview will solve the issue.
So, what is the difference between tf-nightly-gpu and tensorflow-gpu, is it a beta version of it or what?
thanks in advance.
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Project description. TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.
tf-nightly 2.12. 0. dev20221031 TensorFlow is an open source machine learning framework for everyone.
Check your TensorFlow versionType python -c "import tensorflow as tf;print(tf. __version__)" in your command shell and it should output the version number if you have installed the TensorFlow. Mine is 2.7. 0.
These are nightly builds, produced from a time-based snapshot of the source code that may or may not be in good shape and fit for release.
Time-based may literally mean every night, or simply some other regular interval.
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