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requirements_lock_3_11.txt
# via # -r ci/official/requirements_updater/requirements.in # h5py # jax # keras-nightly # ml-dtypes # opt-einsum # scipy # tb-nightly opt-einsum==3.3.0 \ --hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \ --hash=sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549 # via
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 26 00:18:03 UTC 2024 - 48.6K bytes - Viewed (0) -
ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_9.txt
# via # -r ci/official/requirements_updater/requirements.in # h5py # jax # keras-nightly # ml-dtypes # opt-einsum # scipy # tb-nightly opt-einsum==3.3.0 \ --hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \ --hash=sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549 # via
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 28 14:33:43 UTC 2024 - 47.6K bytes - Viewed (0) -
ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_10.txt
# via # -r ci/official/requirements_updater/requirements.in # h5py # jax # keras-nightly # ml-dtypes # opt-einsum # scipy # tb-nightly opt-einsum==3.3.0 \ --hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \ --hash=sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549 # via
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 28 14:33:43 UTC 2024 - 47.2K bytes - Viewed (0) -
ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_12.txt
# via # -r ci/official/requirements_updater/requirements.in # h5py # jax # keras-nightly # ml-dtypes # opt-einsum # scipy # tb-nightly opt-einsum==3.3.0 \ --hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \ --hash=sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549 # via
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 28 14:33:43 UTC 2024 - 47.2K bytes - Viewed (0) -
requirements_lock_3_12.txt
# via # -r ci/official/requirements_updater/requirements.in # h5py # jax # keras-nightly # ml-dtypes # opt-einsum # scipy # tb-nightly opt-einsum==3.3.0 \ --hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \ --hash=sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549 # via
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 26 00:18:03 UTC 2024 - 48.6K bytes - Viewed (0) -
ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_11.txt
# via # -r ci/official/requirements_updater/requirements.in # h5py # jax # keras-nightly # ml-dtypes # opt-einsum # scipy # tb-nightly opt-einsum==3.3.0 \ --hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \ --hash=sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549 # via
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 28 14:33:43 UTC 2024 - 47.2K bytes - Viewed (0) -
requirements_lock_3_10.txt
# via # -r ci/official/requirements_updater/requirements.in # h5py # jax # keras-nightly # ml-dtypes # opt-einsum # scipy # tb-nightly opt-einsum==3.3.0 \ --hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \ --hash=sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549 # via
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 26 00:18:03 UTC 2024 - 48.6K bytes - Viewed (0) -
requirements_lock_3_9.txt
# via # -r ci/official/requirements_updater/requirements.in # h5py # jax # keras-nightly # ml-dtypes # opt-einsum # scipy # tb-nightly opt-einsum==3.3.0 \ --hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \ --hash=sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549 # via
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 26 00:18:03 UTC 2024 - 48.3K bytes - Viewed (0) -
RELEASE.md
`StatusOr::ConsumeValueOrDie`. ## Major Features and Improvements * `tf.lite`: * New operations supported: * tflite SelectV2 now supports 5D. * `tf.einsum` is supported with multiple unknown shapes. * `tf.unsortedsegmentprod` op is supported. * `tf.unsortedsegmentmax` op is supported. * `tf.unsortedsegmentsum` op is supported.
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Oct 22 14:33:53 UTC 2024 - 735.3K bytes - Viewed (0)