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tensorflow/api_template_v1.__init__.py
# Some tf endpoints actually lives under Keras. _current_module.layers = _KerasLazyLoader( globals(), submodule="__internal__.legacy.layers", name="layers", mode="v1") if _tf_uses_legacy_keras: _module_dir = _module_util.get_parent_dir_for_name( "tf_keras.api._v1.keras.__internal__.legacy.layers") else: _module_dir = _module_util.get_parent_dir_for_name(
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
RELEASE.md
* Update `tf.keras` to the Keras 2.1.6 API. * Added [`tf.keras.layers.CuDNNGRU`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/keras/layers/CuDNNGRU) and [`tf.keras.layers.CuDNNLSTM`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/keras/layers/CuDNNLSTM) layers.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
ci/official/containers/linux_arm64/build.sh
else TAG="pr-${KOKORO_GITHUB_PULL_REQUEST_NUMBER}" fi fi # Build for both JAX and TF usage. We do these in one place because they share # almost all of the same cache layers export DOCKER_BUILDKIT=1 for target in jax tf; do IMAGE="gcr.io/tensorflow-sigs/build-arm64:$target-$TAG" docker pull "$IMAGE" || true # Due to some flakiness of resources pulled in the build, allow the docker
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Nov 03 13:38:49 GMT 2023 - 2.3K bytes - Viewed (0)