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Results 1 - 10 of 24 for Keras (0.03 sec)

  1. tensorflow/api_template_v1.__init__.py

      import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem
    
    # 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:
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Wed Oct 02 22:16:02 UTC 2024
    - 7.5K bytes
    - Viewed (0)
  2. ci/official/requirements_updater/numpy1_requirements/requirements.in

    termcolor == 2.3.0
    wrapt == 1.16.0
    tblib == 2.0.0
    ml_dtypes >= 0.4.0, < 0.5.0
    # Install tensorboard, and keras
    # Note that here we want the latest version that matches TF major.minor version
    # Note that we must use nightly here as these are used in nightly jobs
    # For release jobs, we will pin these on the release branch
    keras-nightly ~= 3.0.0.dev
    tb-nightly ~= 2.18.0.a
    # Test dependencies
    grpcio >= 1.24.3, < 2.0
    portpicker == 1.6.0
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Fri Oct 11 22:42:53 UTC 2024
    - 874 bytes
    - Viewed (0)
  3. tensorflow/api_template.__init__.py

      import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem
    
    # 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:
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Wed Oct 02 22:16:02 UTC 2024
    - 6.8K bytes
    - Viewed (0)
  4. 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 Nov 05 12:39:12 UTC 2024
    - Last Modified: Tue Oct 22 14:33:53 UTC 2024
    - 735.3K bytes
    - Viewed (0)
  5. 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 Nov 05 12:39:12 UTC 2024
    - Last Modified: Wed Oct 02 21:18:17 UTC 2024
    - 4.3K bytes
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  6. ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_9.txt

        # via
        #   -r ci/official/requirements_updater/requirements.in
        #   jax
        #   keras-nightly
    namex==0.0.8 \
        --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \
        --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487
        # via keras-nightly
    numpy==1.26.4 \
        --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Mon Oct 28 14:33:43 UTC 2024
    - 47.6K bytes
    - Viewed (0)
  7. ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_10.txt

        # via
        #   -r ci/official/requirements_updater/requirements.in
        #   jax
        #   keras-nightly
    namex==0.0.8 \
        --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \
        --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487
        # via keras-nightly
    numpy==1.26.4 \
        --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Mon Oct 28 14:33:43 UTC 2024
    - 47.2K bytes
    - Viewed (0)
  8. ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_12.txt

        # via
        #   -r ci/official/requirements_updater/requirements.in
        #   jax
        #   keras-nightly
    namex==0.0.8 \
        --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \
        --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487
        # via keras-nightly
    numpy==1.26.4 \
        --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Mon Oct 28 14:33:43 UTC 2024
    - 47.2K bytes
    - Viewed (0)
  9. requirements_lock_3_12.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==2.1.1 \
        --hash=sha256:046356b19d7ad1890c751b99acad5e82dc4a02232013bd9a9a712fddf8eb60f5 \
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 26 00:18:03 UTC 2024
    - 48.6K bytes
    - Viewed (0)
  10. ci/official/requirements_updater/requirements.in

    termcolor == 2.3.0
    wrapt == 1.16.0
    tblib == 2.0.0
    ml_dtypes >= 0.4.0, < 0.5.0
    # Install tensorboard, and keras
    # Note that here we want the latest version that matches TF major.minor version
    # Note that we must use nightly here as these are used in nightly jobs
    # For release jobs, we will pin these on the release branch
    keras-nightly ~= 3.0.0.dev
    tb-nightly ~= 2.19.0.a
    # Test dependencies
    grpcio >= 1.24.3, < 2.0
    portpicker == 1.6.0
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Tue Oct 01 18:46:13 UTC 2024
    - 905 bytes
    - Viewed (0)
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