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TensorFlow 2.6 upgrade #1565
TensorFlow 2.6 upgrade #1565
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…nserted loss_reduction arg
…nserted loss_reduction arg
Great job! I have tested some deeprec-related jupyter-notebooks, and everything is running normally. |
@@ -575,6 +576,11 @@ def extract_movielens(size, rating_path, item_path, zip_path): | |||
shutil.copyfileobj(zf, f) | |||
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# For more information on data synthesis, see https://pandera.readthedocs.io/en/latest/data_synthesis_strategies.html |
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This is awesome! ❤️
@anargyri, it's weird, do you know why the ADO pipelines are not being executed? |
The GitHub hosts don't have CUDA 11 installed. About spark, I am not sure, I am trying to figure what happens. |
But the ADO pipelines should execute. This is weird |
Ah sorry, I missed the "ADO" in your question. Yes, it is strange, let me double check. |
Description
Changes required for upgrade to TensorFlow 2.6. This is a migration of the existing code to TF2 keeping the v1 style and using the
tf.compat.v1
API. See https://www.tensorflow.org/guide/migrate/upgrade and https://www.tensorflow.org/guide/migrate.In detail
tf.contrib
(now deprecated) with other modules or packagessetup.py
, conda script and documentation.tf.summary
,tf.logging
,hparams
.batch_dot()
to fix self attention layer.tf-slim
implementation.pymanopt
in order to fix GeoIMC.Related Issues
Checklist:
staging branch
and not tomain branch
.