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Clean up cuda_core/docs/source/release/*-notes.rst
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cuda_core/docs/source/release/0.1.0-notes.rst

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- All APIs are currently *experimental* and subject to change without deprecation notice.
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Please kindly share your feedback with us so that we can make ``cuda.core`` better!
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- Source code release only; `pip`/`conda` support is coming in a future release
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- Source code release only; ``pip``/``conda`` support is coming in a future release
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- Windows TCC mode is `not yet supported <https://github.com/NVIDIA/cuda-python/issues/206>`_

cuda_core/docs/source/release/0.1.1-notes.rst

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- All APIs are currently *experimental* and subject to change without deprecation notice.
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Please kindly share your feedback with us so that we can make ``cuda.core`` better!
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- Using ``cuda.core`` with NVRTC or nvJitLink installed from PyPI via `pip install` is currently
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- Using ``cuda.core`` with NVRTC or nvJitLink installed from PyPI via ``pip install`` is currently
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not supported. This will be fixed in a future release.
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- Some :class:`~LinkerOptions` are only available when using a modern version of CUDA. When using CUDA <12,
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the backend is the cuLink API which supports only a subset of the options that nvjitlink does.
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Further, some options aren't available on CUDA versions <12.6.
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- To use ``cuda.core`` with Python 3.13, it currently requires building ``cuda-python`` from source
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prior to `pip install`. This extra step will be fixed soon.
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prior to ``pip install``. This extra step will be fixed soon.

cuda_core/docs/source/release/0.3.0-notes.rst

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- :class:`~_module.Kernel` adds :attr:`~_module.Kernel.num_arguments` and :attr:`~_module.Kernel.arguments_info` for introspection of kernel arguments. (#612)
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- Add pythonic access to kernel occupancy calculation functions via :attr:`Kernel.occupancy`. (#648)
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- Support launching cooperative kernels by setting :attr:`LaunchConfig.cooperative_launch` to `True`.
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- Support launching cooperative kernels by setting :attr:`LaunchConfig.cooperative_launch` to ``True``.
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- A name can be assigned to :class:`ObjectCode` instances generated by both :class:`Program` and :class:`Linker` through their respective options.
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- Expose :class:`Buffer`, :class:`DeviceMemoryResource`, :class:`LegacyPinnedMemoryResource`, and :class:`MemoryResource` to the top namespace.
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- Before this release, the internal :class:`Buffer` class had an ``__init__()`` constructor. To align with the design of cuda.core objects,

cuda_core/docs/source/release/0.X.Y-notes.rst

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- **LaunchConfig grid parameter interpretation**: When :attr:`LaunchConfig.cluster` is specified, the :attr:`LaunchConfig.grid` parameter now correctly represents the number of clusters instead of blocks. Previously, the grid parameter was incorrectly interpreted as blocks, causing a mismatch with the expected C++ behavior. This change ensures that ``LaunchConfig(grid=4, cluster=2, block=32)`` correctly produces 4 clusters × 2 blocks/cluster = 8 total blocks, matching the C++ equivalent ``cudax::make_hierarchy(cudax::grid_dims(4), cudax::cluster_dims(2), cudax::block_dims(32))``.
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- When :class:`Buffer` is closed, :attr:`Buffer.handle` is now set to `None`. It was previously set to ``0`` by accident.
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- When :class:`Buffer` is closed, :attr:`Buffer.handle` is now set to ``None``. It was previously set to ``0`` by accident.
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New features

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