From df9ed6625e29131f2217b55cfe8bf5353492fd45 Mon Sep 17 00:00:00 2001 From: Aryan Date: Mon, 27 Jul 2026 09:54:55 -0400 Subject: [PATCH] docs: drop cuda.coop from the component list CCCL removed cuda.coop. Its docs page is gone, python/cuda_cccl/cuda/ now contains only cccl and compute, and the CCCL Python index lists cuda.compute alone. The link therefore returns 404 and cannot be repointed. This fails the lychee link check in the Docs job on every open pull request, because the entry renders into the sidebar of every generated page. Signed-off-by: Aryan --- README.md | 1 - cuda_python/DESCRIPTION.rst | 1 - cuda_python/docs/source/index.rst | 3 --- 3 files changed, 5 deletions(-) diff --git a/README.md b/README.md index 243669b69ee..782f04269ad 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,6 @@ CUDA Python is the home for accessing NVIDIA’s CUDA platform from Python. It c * [cuda.core](https://nvidia.github.io/cuda-python/cuda-core/latest): Pythonic access to CUDA Runtime and other core functionality * [cuda.bindings](https://nvidia.github.io/cuda-python/cuda-bindings/latest): Low-level Python bindings to CUDA C APIs * [cuda.pathfinder](https://nvidia.github.io/cuda-python/cuda-pathfinder/latest): Utilities for locating CUDA components installed in the user's Python environment -* [cuda.coop](https://nvidia.github.io/cccl/unstable/python/coop.html): A Python module providing CCCL's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels * [cuda.compute](https://nvidia.github.io/cccl/unstable/python/compute/index.html): A Python module for easy access to CCCL's highly efficient and customizable parallel algorithms, like `sort`, `scan`, `reduce`, `transform`, etc. that are callable on the *host* * [numba-cuda-mlir](https://nvidia.github.io/numba-cuda-mlir/): An evolution of Numba CUDA that improves upon its technical foundation and performance to provide the future of CUDA Python JIT compilation. It currently supports developing CUDA **SIMT** kernels in Python, providing Python bindings for accelerated device libraries, and serving as a compiler for user-defined functions in accelerated libraries. * [numba.cuda](https://nvidia.github.io/numba-cuda/): A Python DSL that exposes CUDA **SIMT** programming model and compiles a restricted subset of Python code into CUDA kernels and device functions diff --git a/cuda_python/DESCRIPTION.rst b/cuda_python/DESCRIPTION.rst index d50092616ad..3f0a92b5af6 100644 --- a/cuda_python/DESCRIPTION.rst +++ b/cuda_python/DESCRIPTION.rst @@ -10,7 +10,6 @@ CUDA Python is the home for accessing NVIDIA's CUDA platform from Python. It con * `cuda.core `_: Pythonic access to CUDA Runtime and other core functionality * `cuda.bindings `_: Low-level Python bindings to CUDA C APIs * `cuda.pathfinder `_: Utilities for locating CUDA components installed in the user's Python environment -* `cuda.coop `_: A Python module providing CCCL's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels * `cuda.compute `_: A Python module for easy access to CCCL's highly efficient and customizable parallel algorithms, like ``sort``, ``scan``, ``reduce``, ``transform``, etc. that are callable on the *host* * `numba-cuda-mlir `_: An evolution of Numba CUDA that improves upon its technical foundation and performance to provide the future of CUDA Python JIT compilation. It currently supports developing CUDA **SIMT** kernels in Python, providing Python bindings for accelerated device libraries, and serving as a compiler for user-defined functions in accelerated libraries. * `numba.cuda `_: A Python DSL that exposes CUDA **SIMT** programming model and compiles a restricted subset of Python code into CUDA kernels and device functions diff --git a/cuda_python/docs/source/index.rst b/cuda_python/docs/source/index.rst index 55ef45255ad..472a9bee90f 100644 --- a/cuda_python/docs/source/index.rst +++ b/cuda_python/docs/source/index.rst @@ -10,7 +10,6 @@ multiple components: - `cuda.core`_: Pythonic access to CUDA Runtime and other core functionality - `cuda.bindings`_: Low-level Python bindings to CUDA C APIs - `cuda.pathfinder`_: Utilities for locating CUDA components installed in the user's Python environment -- `cuda.coop`_: A Python module providing CCCL's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels - `cuda.compute`_: A Python module for easy access to CCCL's highly efficient and customizable parallel algorithms, like ``sort``, ``scan``, ``reduce``, ``transform``, etc. that are callable on the *host* - `numba-cuda-mlir`_: An evolution of Numba CUDA that improves upon its technical foundation and performance to provide the future of CUDA Python JIT compilation. It currently supports developing CUDA **SIMT** kernels in Python, providing Python bindings for accelerated device libraries, and serving as a compiler for user-defined functions in accelerated libraries. - `numba.cuda`_: A Python DSL that exposes CUDA **SIMT** programming model and compiles a restricted subset of Python code into CUDA kernels and device functions @@ -21,7 +20,6 @@ multiple components: - `CUPTI Python`_: Python APIs for creation of profiling tools that target CUDA Python applications via the CUDA Profiling Tools Interface (CUPTI) - `Accelerated Computing Hub`_: Open-source learning materials related to GPU computing. You will find user guides, tutorials, and other works freely available for all learners interested in GPU computing. -.. _cuda.coop: https://nvidia.github.io/cccl/unstable/python/coop.html .. _cuda.compute: https://nvidia.github.io/cccl/unstable/python/compute/index.html .. _numba-cuda-mlir: https://nvidia.github.io/numba-cuda-mlir/ .. _numba.cuda: https://nvidia.github.io/numba-cuda/ @@ -52,7 +50,6 @@ be available, please refer to the `cuda.bindings`_ documentation for installatio cuda.core cuda.bindings cuda.pathfinder - cuda.coop cuda.compute numba-cuda-mlir numba.cuda