Hot-fix was needed for an issue affecting the TensorFlow installation
process.
TensorFlow 2.15.0 Python package was requesting tensorrt-related
packages that cannot be found unless the user installs them beforehand
or provides additional installation flags.
This dependency affected anyone installing TensorFlow 2.15 alongside
NVIDIA CUDA dependencies via pip install tensorflow[and-cuda].
Depending on the installation method, TensorFlow 2.14 would be installed
instead of 2.15, or users could receive an installation error due to
those missing dependencies.
TensorFlow 2.15.0.post1 is being released for Linux x86_64 to resolve this
issue as quickly as possible.
This version removes the tensorrt Python package dependencies from the
tensorflow[and-cuda] installation method to ensure pip install tensorflow[and-cuda] works as originally intended for TensorFlow 2.15.
Support for TensorRT is otherwise unaffected as long as TensorRT is
already installed on the system.
Using .post1 instead of a full minor release allowed us to push this release
out quickly. However, please note the following caveat:
For users wishing to pin their Python dependency in a requirements file
or other situation, under Python's version specification rules,
tensorflow[and-cuda]==2.15.0 will not install this fixed version.
Please use ==2.15.0.post1 to specify this exact version on Linux
platforms, or a fuzzy version specification, such as ==2.15.*, to
specify the most recent compatible version of TensorFlow 2.15 on all
platforms.
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Bumps the tensorflow group with 1 update: tensorflow-cpu.
Updates
tensorflow-cpu
from 2.15.0 to 2.15.0.post1Changelog
Sourced from tensorflow-cpu's changelog.
Commits
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