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Update CI to use TF 2.16 #2378

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merged 5 commits into from
Mar 20, 2024
Merged

Update CI to use TF 2.16 #2378

merged 5 commits into from
Mar 20, 2024

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sampathweb
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Update CI to use TF 2.16 similar to Keras and Keras NLP.

@sampathweb sampathweb added the kokoro:force-run Runs Tests on GPU label Mar 11, 2024
@kokoro-team kokoro-team removed the kokoro:force-run Runs Tests on GPU label Mar 11, 2024
@sampathweb sampathweb added the kokoro:force-run Runs Tests on GPU label Mar 11, 2024
@kokoro-team kokoro-team removed the kokoro:force-run Runs Tests on GPU label Mar 11, 2024
@@ -1,5 +1,5 @@
# Tensorflow with cuda support.
tf-nightly[and-cuda]==2.16.0.dev20240209 # Pin a working nightly until rc0.
tensorflow[and-cuda]~=2.16.1 # Pin to TF 2.16
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Should we converge on a standard way to pin jax/torch/tf? Either ~= on patch version, >=, ==? I can't think of a great reason why each library needs a different approach, and I see all three here.

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Agree Changed to >=

@divyashreepathihalli divyashreepathihalli added the kokoro:force-run Runs Tests on GPU label Mar 19, 2024
@kokoro-team kokoro-team removed the kokoro:force-run Runs Tests on GPU label Mar 19, 2024
@sampathweb sampathweb merged commit 301f7cd into keras-team:master Mar 20, 2024
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@sampathweb sampathweb deleted the ci-tf216 branch March 20, 2024 17:18
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4 participants