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src/main/webapp/js/admin/moment-with-locales.min.js
|this._ordinalParse.source)+"|"+/\d{1,2}/.source)},pt.eras=function(e,a){for(var t,s=this._eras||ua("en")._eras,n=0,r=s.length;n<r;++n){switch(typeof s[n].since){case"string":t=M(s[n].since).startOf("day"),s[n].since=t.valueOf();break}switch(typeof s[n].until){case"undefined":s[n].until=1/0;break;case"string":t=M(s[n].until).startOf("day").valueOf(),s[n].until=t.valueOf();break}}return s},pt.erasParse=function(e,a,t){var s,n,r,d,i,_=this.eras();for(e=e.toUpperCase(),s=0,n=_.length;s<n;++s)if(r=_...
Registered: Thu Sep 04 12:52:25 UTC 2025 - Last Modified: Sat Oct 26 01:49:09 UTC 2024 - 360.5K bytes - Viewed (2) -
RELEASE.md
* Keras 3.0 will be the default Keras version. You may need to update your script to use Keras 3.0. * Please refer to the new Keras documentation for Keras 3.0 (https://keras.io/keras_3). * To continue using Keras 2.0, do the following. * 1. Install tf-keras via pip install tf-keras~=2.16 1. To switch tf.keras to use Keras 2 (tf-keras), set the environment
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Mon Aug 18 20:54:38 UTC 2025 - 740K bytes - Viewed (2) -
ci/official/utilities/rename_and_verify_wheels.sh
"$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)' "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)' fi # Import tf nightly wheel built with numpy2 from PyPI in numpy1 env for testing. # This aims to maintain TF compatibility with NumPy 1.x until 2025 b/361369076.
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Fri Apr 25 00:22:38 UTC 2025 - 4.7K bytes - Viewed (0) -
ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_9.txt
# via # -r ci/official/requirements_updater/requirements.in # jax # keras-nightly namex==0.0.9 \ --hash=sha256:7bd4e4a2cc3876592111609fdf4cbe6ff19883adbe6b3b40d842fd340f77025e \ --hash=sha256:8adfea9da5cea5be8f4e632349b4669e30172c7859e1fd97459fdf3b17469253 # via keras-nightly numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Wed Sep 03 23:57:17 UTC 2025 - 65.9K bytes - Viewed (0) -
ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_10.txt
# via # -r ci/official/requirements_updater/requirements.in # jax # keras-nightly namex==0.0.9 \ --hash=sha256:7bd4e4a2cc3876592111609fdf4cbe6ff19883adbe6b3b40d842fd340f77025e \ --hash=sha256:8adfea9da5cea5be8f4e632349b4669e30172c7859e1fd97459fdf3b17469253 # via keras-nightly numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Wed Sep 03 23:57:17 UTC 2025 - 66.1K bytes - Viewed (0) -
ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_12.txt
# via # -r ci/official/requirements_updater/requirements.in # jax # keras-nightly namex==0.0.9 \ --hash=sha256:7bd4e4a2cc3876592111609fdf4cbe6ff19883adbe6b3b40d842fd340f77025e \ --hash=sha256:8adfea9da5cea5be8f4e632349b4669e30172c7859e1fd97459fdf3b17469253 # via keras-nightly numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Wed Sep 03 23:57:17 UTC 2025 - 66.1K bytes - Viewed (0) -
requirements_lock_3_12.txt
# via # -r ci/official/requirements_updater/requirements.in # jax # keras-nightly namex==0.0.9 \ --hash=sha256:7bd4e4a2cc3876592111609fdf4cbe6ff19883adbe6b3b40d842fd340f77025e \ --hash=sha256:8adfea9da5cea5be8f4e632349b4669e30172c7859e1fd97459fdf3b17469253 # via keras-nightly numpy==2.1.3 \ --hash=sha256:016d0f6f5e77b0f0d45d77387ffa4bb89816b57c835580c3ce8e099ef830befe \
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Wed Sep 03 23:57:17 UTC 2025 - 67.7K bytes - Viewed (0) -
requirements_lock_3_10.txt
# via # -r ci/official/requirements_updater/requirements.in # jax # keras-nightly namex==0.0.9 \ --hash=sha256:7bd4e4a2cc3876592111609fdf4cbe6ff19883adbe6b3b40d842fd340f77025e \ --hash=sha256:8adfea9da5cea5be8f4e632349b4669e30172c7859e1fd97459fdf3b17469253 # via keras-nightly numpy==2.1.3 \ --hash=sha256:016d0f6f5e77b0f0d45d77387ffa4bb89816b57c835580c3ce8e099ef830befe \
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Wed Sep 03 23:57:17 UTC 2025 - 67.7K bytes - Viewed (0) -
requirements_lock_3_9.txt
# via # -r ci/official/requirements_updater/requirements.in # jax # keras-nightly namex==0.0.9 \ --hash=sha256:7bd4e4a2cc3876592111609fdf4cbe6ff19883adbe6b3b40d842fd340f77025e \ --hash=sha256:8adfea9da5cea5be8f4e632349b4669e30172c7859e1fd97459fdf3b17469253 # via keras-nightly numpy==2.0.2 \ --hash=sha256:0123ffdaa88fa4ab64835dcbde75dcdf89c453c922f18dced6e27c90d1d0ec5a \
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Wed Sep 03 23:57:17 UTC 2025 - 66.6K bytes - Viewed (0) -
ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_11.txt
# via # -r ci/official/requirements_updater/requirements.in # jax # keras-nightly namex==0.0.8 \ --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \ --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487 # via keras-nightly numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Wed Sep 03 23:57:17 UTC 2025 - 66.1K bytes - Viewed (1)