bump cuda.core to v0.4.0 (#1097)

Author: leofang

cuda_core/cuda/core/_version.py

@@ -2,4 +2,4 @@
 #
 # SPDX-License-Identifier: Apache-2.0
 
-__version__ = "0.3.3a0"
+__version__ = "0.4.0"

cuda_core/docs/nv-versions.json

@@ -3,6 +3,10 @@
         "version": "latest",
         "url": "https://nvidia.github.io/cuda-python/cuda-core/latest/"
     },
+    {
+        "version": "0.4.0",
+        "url": "https://nvidia.github.io/cuda-python/cuda-core/0.4.0/"
+    },
     {
         "version": "0.3.2",
         "url": "https://nvidia.github.io/cuda-python/cuda-core/0.3.2/"

cuda_core/docs/source/release.rst

@@ -7,7 +7,7 @@ Release Notes
 .. toctree::
    :maxdepth: 3
 
-   0.X.Y <release/0.X.Y-notes>
+   0.4.0 <release/0.4.0-notes>
    0.3.2 <release/0.3.2-notes>
    0.3.1 <release/0.3.1-notes>
    0.3.0 <release/0.3.0-notes>

…core/docs/source/release/0.X.Y-notes.rst …core/docs/source/release/0.4.0-notes.rstcuda_core/docs/source/release/0.X.Y-notes.rst renamed to cuda_core/docs/source/release/0.4.0-notes.rst cuda_core/docs/source/release/0.X.Y-notes.rst renamed to cuda_core/docs/source/release/0.4.0-notes.rst

@@ -19,9 +19,10 @@ Highlights
 Breaking Changes
 ----------------
 
-- **CUDA 11 support dropped**: CUDA 11 support is no longer tested and it may or may not work with cuda.bindings and CTK 11.x. Users are encouraged to migrate to CUDA 12.x or 13.x.
+- CUDA 11 support dropped: CUDA 11 is no longer tested and it may or may not work with ``cuda.bindings`` and CTK 11.x. Users are encouraged to migrate to CUDA 12.x or 13.x.
 - Support for ``cuda-bindings`` (and ``cuda-python``) < 12.6.2 is dropped. Internally, ``cuda.core`` now always requires the `new binding module layout <https://nvidia.github.io/cuda-python/cuda-bindings/latest/release/12.6.1-notes.html#cuda-namespace-cleanup-with-a-new-module-layout>`_. As per the ``cuda-bindings`` `support policy <https://nvidia.github.io/cuda-python/cuda-bindings/latest/support.html>`_), CUDA 12 users are encouraged to use the latest ``cuda-bindings`` 12.9.x, which is backward-compatible with all CUDA Toolkit 12.y.
-- **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))``.
+- Change in :class:`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))``.
+- The :class:`Buffer` objects now deallocate on the stream that was used to allocate it, instead of on the default stream. We encourage users to overwrite the deallocation stream explicitly through the :meth:`~Buffer.close` method if desired. Establishing a proper stream order is the user responsibility.
 
 
 New features
@@ -32,7 +33,7 @@ New features
 - Stream-ordered memory allocation can now be shared on Linux via :class:`DeviceMemoryResource`.
 - Added NVVM IR support to :class:`Program`. NVVM IR is now understood with ``code_type="nvvm"``.
 - Added an :attr:`ObjectCode.code_type` attribute for querying the code type.
-- Added :class:`VirtualMemoryResource` for low-level virtual memory management.
+- Added :class:`VirtualMemoryResource` for low-level virtual memory management on Linux.
 
 
 New examples