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Add jax.Array to the index page
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@ -5,6 +5,11 @@ JAX is Autograd_ and XLA_, brought together for high-performance numerical compu
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It provides composable transformations of Python+NumPy programs: differentiate, vectorize,
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parallelize, Just-In-Time compile to GPU/TPU, and more.
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.. note::
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JAX 0.4.0 introduces new parallelism APIs, including breaking changes to :func:`jax.experimental.pjit` and a new unified ``jax.Array`` type.
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Please see `Parallelism with JAX <https://jax.readthedocs.io/en/latest/notebooks/Parallelism_with_JAX.html>`_ tutorial and the :ref:`jax-array-migration`
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guide for more information.
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.. toctree::
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:maxdepth: 1
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:caption: Getting Started
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