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tensorflow/api_template.__init__.py
# Lazy-load Keras v2/3. _tf_uses_legacy_keras = ( _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1")) setattr(_current_module, "keras", _KerasLazyLoader(globals())) _module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras") _current_module.__path__ = [_module_dir] + _current_module.__path__ if _tf_uses_legacy_keras:
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
requirements_lock_3_10.txt
# via # -r requirements.in # keras-nightly idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via requests jax==0.4.7 \ --hash=sha256:5e7002d74db25f97c99b979d4ba1233b1ef26e1597e5fc468ad11d1c8a9dc4f8 # via -r requirements.in keras-nightly==3.0.4.dev2024021403 \
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requirements_lock_3_12.txt
# via # -r requirements.in # keras-nightly idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via requests jax==0.4.7 \ --hash=sha256:5e7002d74db25f97c99b979d4ba1233b1ef26e1597e5fc468ad11d1c8a9dc4f8 # via -r requirements.in keras-nightly==3.0.4.dev2024021403 \
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requirements_lock_3_9.txt
--hash=sha256:f47619d978ab1ae7dfdc4052ea97c636c6263e1f19bd1be0e42c346b98d15ff4 # via # jax # keras-nightly namex==0.0.7 \ --hash=sha256:84ba65bc4d22bd909e3d26bf2ffb4b9529b608cb3f9a4336f776b04204ced69b \ --hash=sha256:8a4f062945f405d77cb66b907f16aa2fd83681945e998be840eb6c4154d40108 # via keras-nightly numpy==1.23.5 ; python_version <= "3.11" \
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ci/official/requirements_updater/BUILD.bazel
extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly", ], requirements_in = "requirements.in", requirements_txt = "requirements_lock_3_9.txt", ) compile_pip_requirements_3_10( name = "requirements_3_10_release", extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly", ],
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
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tensorflow/api_template_v1.__init__.py
# Lazy-load Keras v1. _tf_uses_legacy_keras = ( _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1")) setattr(_current_module, "keras", _KerasLazyLoader(globals(), mode="v1")) _module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras") _current_module.__path__ = [_module_dir] + _current_module.__path__ if _tf_uses_legacy_keras:
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ci/official/wheel_test/update_requirements.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # script to run pip-compile for keras, tensorboard, estimator deps. # if there is a change in requirements.in then all lock files will be updated # accordingly. # -e: abort script if one command fails # -u: error if undefined variable used
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ci/official/requirements_updater/README.md
) ``` ``` compile_pip_requirements_3_11( name = "requirements_3_11_release", extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly", ], requirements_in = "requirements.in", requirements_txt = "requirements_lock_3_11.txt", ) ```
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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
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