What's new in TensorFlow 2.21 | Endigest
Google
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TensorFlow 2.21 introduces major updates to the LiteRT stack and operator support for lower-precision data types.
- •LiteRT has graduated to production, delivering 1.4x faster GPU performance than TFLite and new NPU acceleration support.
- •LiteRT provides a unified workflow for GPU and NPU acceleration and supports cross-platform GenAI deployment for models like Gemma.
- •First-class PyTorch and JAX support is available via seamless model conversion.
- •tf.lite operators now support int8, int16x8, INT2, and INT4 data types across SQRT, comparison, cast, slice, and fully_connected operators.
- •Google is increasing focus on security/bug fixes, dependency updates, and community contributions for the TensorFlow ecosystem.
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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