From 31acd8a09c0fa182783070ef12a600ad4526efdc Mon Sep 17 00:00:00 2001 From: Phillip Cloud <417981+cpcloud@users.noreply.github.com> Date: Mon, 6 Apr 2026 13:31:47 -0400 Subject: [PATCH 1/3] docs: audit example coverage and add pixi docs builds (#1680) Make every current cuda.core and cuda.bindings example discoverable from the published docs, and add a reproducible pixi-based docs workflow so documentation changes can be built and debugged locally. Made-with: Cursor --- cuda_bindings/docs/source/examples.rst | 68 + cuda_bindings/docs/source/index.rst | 1 + cuda_bindings/docs/source/overview.rst | 8 +- cuda_bindings/pixi.lock | 4054 ++++++++++++++++++++- cuda_bindings/pixi.toml | 41 + cuda_core/docs/source/examples.rst | 59 + cuda_core/docs/source/getting-started.rst | 18 +- cuda_core/docs/source/index.rst | 1 + pixi.toml | 32 + 9 files changed, 4121 insertions(+), 161 deletions(-) create mode 100644 cuda_bindings/docs/source/examples.rst create mode 100644 cuda_core/docs/source/examples.rst diff --git a/cuda_bindings/docs/source/examples.rst b/cuda_bindings/docs/source/examples.rst new file mode 100644 index 0000000000..df82419ce9 --- /dev/null +++ b/cuda_bindings/docs/source/examples.rst @@ -0,0 +1,68 @@ +.. SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +.. SPDX-License-Identifier: LicenseRef-NVIDIA-SOFTWARE-LICENSE + +Examples +======== + +This page links to the ``cuda.bindings`` examples shipped in the +`cuda-python repository `_. +Use it as a quick index when you want a runnable sample for a specific API area +or CUDA feature. + +Introduction +------------ + +- `clock_nvrtc_test.py `_ + uses NVRTC-compiled CUDA code and the device clock to time a reduction + kernel. +- `simpleCubemapTexture_test.py `_ + demonstrates cubemap texture sampling and transformation. +- `simpleP2P_test.py `_ + shows peer-to-peer memory access and transfers between multiple GPUs. +- `simpleZeroCopy_test.py `_ + uses zero-copy mapped host memory for vector addition. +- `systemWideAtomics_test.py `_ + demonstrates system-wide atomic operations on managed memory. +- `vectorAddDrv_test.py `_ + uses the CUDA Driver API and unified virtual addressing for vector addition. +- `vectorAddMMAP_test.py `_ + uses virtual memory management APIs such as ``cuMemCreate`` and + ``cuMemMap`` for vector addition. + +Concepts and techniques +----------------------- + +- `streamOrderedAllocation_test.py `_ + demonstrates ``cudaMallocAsync`` and ``cudaFreeAsync`` together with + memory-pool release thresholds. + +CUDA features +------------- + +- `globalToShmemAsyncCopy_test.py `_ + compares asynchronous global-to-shared-memory copy strategies in matrix + multiplication kernels. +- `simpleCudaGraphs_test.py `_ + shows both manual CUDA graph construction and stream-capture-based replay. + +Libraries and tools +------------------- + +- `conjugateGradientMultiBlockCG_test.py `_ + implements a conjugate-gradient solver with cooperative groups and + multi-block synchronization. +- `nvidia_smi.py `_ + uses NVML to implement a Python subset of ``nvidia-smi``. + +Advanced and interoperability +----------------------------- + +- `isoFDModelling_test.py `_ + runs isotropic finite-difference wave propagation across multiple GPUs with + peer-to-peer halo exchange. +- `jit_program_test.py `_ + JIT-compiles a SAXPY kernel with NVRTC and launches it through the Driver + API. +- `numba_emm_plugin.py `_ + shows how to back Numba's EMM interface with the NVIDIA CUDA Python Driver + API. diff --git a/cuda_bindings/docs/source/index.rst b/cuda_bindings/docs/source/index.rst index 3501b26a5c..0cf2cb9cd6 100644 --- a/cuda_bindings/docs/source/index.rst +++ b/cuda_bindings/docs/source/index.rst @@ -11,6 +11,7 @@ release install overview + examples motivation environment_variables api diff --git a/cuda_bindings/docs/source/overview.rst b/cuda_bindings/docs/source/overview.rst index fdef83639b..650ea1cb43 100644 --- a/cuda_bindings/docs/source/overview.rst +++ b/cuda_bindings/docs/source/overview.rst @@ -31,7 +31,8 @@ API `_, manually create CUDA context and all required resources on the GPU, then launch the compiled CUDA C++ code and retrieve the results from the GPU. Now that you have an overview, jump into a commonly used example for parallel programming: -`SAXPY `_. +`SAXPY `_. For more +end-to-end samples, see the :doc:`examples` page. The first thing to do is import the `Driver API `_ and @@ -520,7 +521,10 @@ CUDA objects Certain CUDA kernels use native CUDA types as their parameters such as ``cudaTextureObject_t``. These types require special handling since they're neither a primitive ctype nor a custom user type. Since ``cuda.bindings`` exposes each of them as Python classes, they each implement ``getPtr()`` and ``__int__()``. These two callables used to support the NumPy and ctypes approach. The difference between each call is further described under `Tips and Tricks `_. -For this example, lets use the ``transformKernel`` from `examples/0_Introduction/simpleCubemapTexture_test.py `_: +For this example, lets use the ``transformKernel`` from +`examples/0_Introduction/simpleCubemapTexture_test.py `_. +The :doc:`examples` page links to more samples covering textures, graphs, +memory mapping, and multi-GPU workflows. .. code-block:: python diff --git a/cuda_bindings/pixi.lock b/cuda_bindings/pixi.lock index b01d6eec69..9d171fe769 100644 --- a/cuda_bindings/pixi.lock +++ b/cuda_bindings/pixi.lock @@ -1081,21 +1081,21 @@ environments: - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-h3394656_0.conda - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda - conda: https://conda.anaconda.org/conda-forge/linux-64/conda-gcc-specs-15.2.0-h53410ce_16.conda - - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-64-13.2.27-ha770c72_0.conda - 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SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +.. SPDX-License-Identifier: Apache-2.0 + +Examples +======== + +This page links to the ``cuda.core`` examples shipped in the +`cuda-python repository `_. +Use it as a quick index when you want a runnable starting point for a specific +workflow. + +Compilation and kernel launch +----------------------------- + +- `vector_add.py `_ + compiles and launches a simple vector-add kernel with CuPy arrays. +- `saxpy.py `_ + JIT-compiles a templated SAXPY kernel and launches both float and double + instantiations. +- `pytorch_example.py `_ + launches a CUDA kernel with PyTorch tensors and a wrapped PyTorch stream. + +Multi-device and advanced launch configuration +---------------------------------------------- + +- `simple_multi_gpu_example.py `_ + compiles and launches kernels across multiple GPUs. +- `thread_block_cluster.py `_ + demonstrates thread block cluster launch configuration on Hopper-class GPUs. +- `tma_tensor_map.py `_ + demonstrates Tensor Memory Accelerator descriptors and TMA-based bulk copies. + +Linking and graphs +------------------ + +- `jit_lto_fractal.py `_ + uses JIT link-time optimization to link user-provided device code into a + fractal workflow at runtime. +- `cuda_graphs.py `_ + captures and replays a multi-kernel CUDA graph to reduce launch overhead. + +Interoperability and memory access +---------------------------------- + +- `memory_ops.py `_ + covers memory resources, pinned memory, device transfers, and DLPack interop. +- `strided_memory_view_cpu.py `_ + uses ``StridedMemoryView`` with JIT-compiled CPU code via ``cffi``. +- `strided_memory_view_gpu.py `_ + uses ``StridedMemoryView`` with JIT-compiled GPU code and foreign GPU buffers. +- `gl_interop_plasma.py `_ + renders a CUDA-generated plasma effect through OpenGL interop without CPU + copies. + +System inspection +----------------- + +- `show_device_properties.py `_ + prints a detailed report of the CUDA devices available on the system. diff --git a/cuda_core/docs/source/getting-started.rst b/cuda_core/docs/source/getting-started.rst index 2ac779dc2b..c8ffc1eb79 100644 --- a/cuda_core/docs/source/getting-started.rst +++ b/cuda_core/docs/source/getting-started.rst @@ -32,7 +32,9 @@ Example: Compiling and Launching a CUDA kernel ---------------------------------------------- To get a taste for ``cuda.core``, let's walk through a simple example that compiles and launches a vector addition kernel. -You can find the complete example in `vector_add.py `_. +You can find the complete example in `vector_add.py `_ +and browse the :doc:`examples page ` for the rest of the shipped +workflows. First, we define a string containing the CUDA C++ kernel. Note that this is a templated kernel: @@ -76,8 +78,10 @@ Note the use of the ``name_expressions`` parameter to the :meth:`Program.compile mod = prog.compile("cubin", name_expressions=("vector_add",)) Next, we retrieve the compiled kernel from the CUBIN and prepare the arguments and kernel configuration. -We're using `CuPy `_ arrays as inputs for this example, but you can use PyTorch tensors too -(we show how to do this in one of our `examples `_). +We're using `CuPy `_ arrays as inputs for this example, but +you can use PyTorch tensors too (see +`pytorch_example.py `_ +and the :doc:`examples page `). .. code-block:: python @@ -108,7 +112,9 @@ Note the clean, Pythonic interface, and absence of any direct calls to the CUDA Examples and Recipes -------------------- -As we mentioned before, ``cuda.core`` can do much more than just compile and launch kernels. +As we mentioned before, ``cuda.core`` can do much more than just compile and +launch kernels. -The best way to explore and learn the different features ``cuda.core`` is through -our `examples `_. Find one that matches your use-case, and modify it to fit your needs! +Browse the :doc:`examples page ` for direct links to every shipped +example, including multi-GPU workflows, CUDA graphs, memory utilities, and +interop-focused recipes. diff --git a/cuda_core/docs/source/index.rst b/cuda_core/docs/source/index.rst index 3c2f5f7b18..3bf962d725 100644 --- a/cuda_core/docs/source/index.rst +++ b/cuda_core/docs/source/index.rst @@ -11,6 +11,7 @@ Welcome to the documentation for ``cuda.core``. :caption: Contents: getting-started + examples install interoperability api diff --git a/pixi.toml b/pixi.toml index e035d2ac64..ceeeb8dcfa 100644 --- a/pixi.toml +++ b/pixi.toml @@ -49,5 +49,37 @@ depends-on = [ { task = "test-core" }, ] +# Docs Tasks +# Builds the package-local Sphinx docs through each package's docs environment. +# +# Usage: pixi run docs | pixi run docs-bindings | pixi run docs-core +[target.linux.tasks.docs-bindings] +cmd = [ + "pixi", + "run", + "--manifest-path", + "$PIXI_PROJECT_ROOT/cuda_bindings", + "-e", + "docs", + "build-docs", +] + +[target.linux.tasks.docs-core] +cmd = [ + "pixi", + "run", + "--manifest-path", + "$PIXI_PROJECT_ROOT/cuda_core", + "-e", + "docs", + "build-docs", +] + +[target.linux.tasks.docs] +depends-on = [ + { task = "docs-bindings" }, + { task = "docs-core" }, +] + [dependencies] ruff = ">=0.15.3,<0.16" From ecca2808e9bc3a88234348c318454890c711507f Mon Sep 17 00:00:00 2001 From: Phillip Cloud <417981+cpcloud@users.noreply.github.com> Date: Tue, 7 Apr 2026 12:05:16 -0400 Subject: [PATCH 2/3] docs: address example link review feedback (#1680) Point the new example links at package-aware refs instead of always targeting main, and drop the overlapping pixi docs workflow changes so this PR stays scoped to the documentation coverage audit. Made-with: Cursor --- cuda_bindings/docs/build_docs.sh | 4 + cuda_bindings/docs/source/conf.py | 13 + cuda_bindings/docs/source/examples.rst | 32 +- cuda_bindings/docs/source/overview.rst | 2 +- cuda_bindings/pixi.lock | 3942 +------------------- cuda_bindings/pixi.toml | 41 - cuda_core/docs/build_docs.sh | 4 + cuda_core/docs/source/conf.py | 13 + cuda_core/docs/source/examples.rst | 28 +- cuda_core/docs/source/getting-started.rst | 4 +- cuda_core/docs/source/interoperability.rst | 21 +- pixi.toml | 32 - 12 files changed, 175 insertions(+), 3961 deletions(-) diff --git a/cuda_bindings/docs/build_docs.sh b/cuda_bindings/docs/build_docs.sh index c4e959fd75..15a42b9346 100755 --- a/cuda_bindings/docs/build_docs.sh +++ b/cuda_bindings/docs/build_docs.sh @@ -25,6 +25,10 @@ if [[ -z "${SPHINX_CUDA_BINDINGS_VER}" ]]; then | awk -F'+' '{print $1}') fi +if [[ "${LATEST_ONLY}" == "1" && -z "${BUILD_PREVIEW:-}" && -z "${BUILD_LATEST:-}" ]]; then + export BUILD_LATEST=1 +fi + # build the docs (in parallel) SPHINXOPTS="-j 4 -d build/.doctrees" make html diff --git a/cuda_bindings/docs/source/conf.py b/cuda_bindings/docs/source/conf.py index 4ed8c49b88..9206b3a54d 100644 --- a/cuda_bindings/docs/source/conf.py +++ b/cuda_bindings/docs/source/conf.py @@ -26,6 +26,15 @@ release = os.environ["SPHINX_CUDA_BINDINGS_VER"] +def _github_examples_ref(): + if int(os.environ.get("BUILD_PREVIEW", 0)) or int(os.environ.get("BUILD_LATEST", 0)): + return "main" + return f"v{release}" + + +GITHUB_EXAMPLES_REF = _github_examples_ref() + + # -- General configuration --------------------------------------------------- # Add any Sphinx extension module names here, as strings. They can be @@ -99,6 +108,10 @@ # skip cmdline prompts copybutton_exclude = ".linenos, .gp" +rst_epilog = f""" +.. |cuda_bindings_github_ref| replace:: {GITHUB_EXAMPLES_REF} +""" + intersphinx_mapping = { "python": ("https://docs.python.org/3/", None), "numpy": ("https://numpy.org/doc/stable/", None), diff --git a/cuda_bindings/docs/source/examples.rst b/cuda_bindings/docs/source/examples.rst index df82419ce9..96f790a287 100644 --- a/cuda_bindings/docs/source/examples.rst +++ b/cuda_bindings/docs/source/examples.rst @@ -5,64 +5,64 @@ Examples ======== This page links to the ``cuda.bindings`` examples shipped in the -`cuda-python repository `_. +`cuda-python repository `_. Use it as a quick index when you want a runnable sample for a specific API area or CUDA feature. Introduction ------------ -- `clock_nvrtc_test.py `_ +- `clock_nvrtc.py `_ uses NVRTC-compiled CUDA code and the device clock to time a reduction kernel. -- `simpleCubemapTexture_test.py `_ +- `simple_cubemap_texture.py `_ demonstrates cubemap texture sampling and transformation. -- `simpleP2P_test.py `_ +- `simple_p2p.py `_ shows peer-to-peer memory access and transfers between multiple GPUs. -- `simpleZeroCopy_test.py `_ +- `simple_zero_copy.py `_ uses zero-copy mapped host memory for vector addition. -- `systemWideAtomics_test.py `_ +- `system_wide_atomics.py `_ demonstrates system-wide atomic operations on managed memory. -- `vectorAddDrv_test.py `_ +- `vector_add_drv.py `_ uses the CUDA Driver API and unified virtual addressing for vector addition. -- `vectorAddMMAP_test.py `_ +- `vector_add_mmap.py `_ uses virtual memory management APIs such as ``cuMemCreate`` and ``cuMemMap`` for vector addition. Concepts and techniques ----------------------- -- `streamOrderedAllocation_test.py `_ +- `stream_ordered_allocation.py `_ demonstrates ``cudaMallocAsync`` and ``cudaFreeAsync`` together with memory-pool release thresholds. CUDA features ------------- -- `globalToShmemAsyncCopy_test.py `_ +- `global_to_shmem_async_copy.py `_ compares asynchronous global-to-shared-memory copy strategies in matrix multiplication kernels. -- `simpleCudaGraphs_test.py `_ +- `simple_cuda_graphs.py `_ shows both manual CUDA graph construction and stream-capture-based replay. Libraries and tools ------------------- -- `conjugateGradientMultiBlockCG_test.py `_ +- `conjugate_gradient_multi_block_cg.py `_ implements a conjugate-gradient solver with cooperative groups and multi-block synchronization. -- `nvidia_smi.py `_ +- `nvidia_smi.py `_ uses NVML to implement a Python subset of ``nvidia-smi``. Advanced and interoperability ----------------------------- -- `isoFDModelling_test.py `_ +- `iso_fd_modelling.py `_ runs isotropic finite-difference wave propagation across multiple GPUs with peer-to-peer halo exchange. -- `jit_program_test.py `_ +- `jit_program.py `_ JIT-compiles a SAXPY kernel with NVRTC and launches it through the Driver API. -- `numba_emm_plugin.py `_ +- `numba_emm_plugin.py `_ shows how to back Numba's EMM interface with the NVIDIA CUDA Python Driver API. diff --git a/cuda_bindings/docs/source/overview.rst b/cuda_bindings/docs/source/overview.rst index 650ea1cb43..fcb08e042c 100644 --- a/cuda_bindings/docs/source/overview.rst +++ b/cuda_bindings/docs/source/overview.rst @@ -522,7 +522,7 @@ CUDA objects Certain CUDA kernels use native CUDA types as their parameters such as ``cudaTextureObject_t``. These types require special handling since they're neither a primitive ctype nor a custom user type. Since ``cuda.bindings`` exposes each of them as Python classes, they each implement ``getPtr()`` and ``__int__()``. These two callables used to support the NumPy and ctypes approach. The difference between each call is further described under `Tips and Tricks `_. For this example, lets use the ``transformKernel`` from -`examples/0_Introduction/simpleCubemapTexture_test.py `_. +`simple_cubemap_texture.py `_. The :doc:`examples` page links to more samples covering textures, graphs, memory mapping, and multi-GPU workflows. diff --git a/cuda_bindings/pixi.lock b/cuda_bindings/pixi.lock index 9d171fe769..1d28f6f4a3 100644 --- a/cuda_bindings/pixi.lock +++ b/cuda_bindings/pixi.lock @@ -1460,21 +1460,21 @@ environments: - conda: https://conda.anaconda.org/conda-forge/win-64/cairo-1.18.4-h5782bbf_0.conda - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda - conda: https://conda.anaconda.org/conda-forge/win-64/conda-gcc-specs-15.2.0-hd546029_16.conda - - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_win-64-12.9.27-h57928b3_0.conda - - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_win-64-12.9.86-h57928b3_2.conda - - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-cudart-12.9.79-he0c23c2_0.conda - - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-cudart-dev-12.9.79-he0c23c2_0.conda - - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_win-64-12.9.79-he0c23c2_0.conda - 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python license: MIT license_family: MIT - purls: - - pkg:pypi/zipp?source=hash-mapping size: 24194 timestamp: 1764460141901 - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda @@ -15105,7 +11360,6 @@ packages: - __glibc >=2.17,<3.0.a0 - libzlib >=1.3.1,<2.0a0 license: BSD-3-Clause - purls: [] size: 601375 timestamp: 1764777111296 - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.7-h85ac4a6_6.conda @@ -15114,7 +11368,6 @@ packages: depends: - libzlib >=1.3.1,<2.0a0 license: BSD-3-Clause - purls: [] size: 614429 timestamp: 1764777145593 - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda @@ -15126,6 +11379,5 @@ packages: - ucrt >=10.0.20348.0 - libzlib >=1.3.1,<2.0a0 license: BSD-3-Clause - purls: [] size: 388453 timestamp: 1764777142545 diff --git a/cuda_bindings/pixi.toml b/cuda_bindings/pixi.toml index 4d59574a52..c00887ab51 100644 --- a/cuda_bindings/pixi.toml +++ b/cuda_bindings/pixi.toml @@ -58,37 +58,10 @@ cuda-version = "12.*" [feature.cu13.dependencies] cuda-version = "13.2.*" -[feature.docs.dependencies] -cython = "*" -myst-parser = "*" -numpy = "*" -numpydoc = "*" -pip = "*" -pydata-sphinx-theme = "*" -pytest = "*" -scipy = "*" -sphinx = "<8.2.0" -sphinx-copybutton = "*" -myst-nb = "*" -enum_tools = "*" -sphinx-toolbox = "*" -pyclibrary = "*" -python = "3.12.*" - -[feature.docs.pypi-dependencies] -nvidia-sphinx-theme = "*" - -[feature.docs.target.linux-64.dependencies] -make = "*" - -[feature.docs.target.linux-aarch64.dependencies] -make = "*" - [environments] default = { features = ["test", "cython-tests"], solve-group = "default" } cu13 = { features = ["cu13", "test", "cython-tests"], solve-group = "cu13" } cu12 = { features = ["cu12", "test", "cython-tests"], solve-group = "cu12" } -docs = { features = ["cu13", "docs"], solve-group = "docs" } # TODO: check if these can be extracted from pyproject.toml [package] @@ -170,20 +143,6 @@ cmd = [ ] depends-on = [{ task = "build-cython-tests" }] -[target.linux.tasks.build-docs] -cmd = [ - "bash", - "-lc", - "cd \"$PIXI_PROJECT_ROOT/docs\" && rm -rf build source/module/generated && ./build_docs.sh latest-only && rm -rf source/module/generated", -] - -[target.linux.tasks.build-docs-release] -cmd = [ - "bash", - "-lc", - "cd \"$PIXI_PROJECT_ROOT/docs\" && rm -rf build source/module/generated && ./build_docs.sh && rm -rf source/module/generated", -] - [target.win-64.tasks.test] cmd = [ "pytest", diff --git a/cuda_core/docs/build_docs.sh b/cuda_core/docs/build_docs.sh index 7d4a78c31c..00988399ca 100755 --- a/cuda_core/docs/build_docs.sh +++ b/cuda_core/docs/build_docs.sh @@ -24,6 +24,10 @@ if [[ -z "${SPHINX_CUDA_CORE_VER}" ]]; then | awk -F'+' '{print $1}') fi +if [[ "${LATEST_ONLY}" == "1" && -z "${BUILD_PREVIEW:-}" && -z "${BUILD_LATEST:-}" ]]; then + export BUILD_LATEST=1 +fi + # build the docs. Allow callers to override SPHINXOPTS for serial/debug runs. if [[ -z "${SPHINXOPTS:-}" ]]; then SPHINXOPTS="-j 4 -d build/.doctrees" diff --git a/cuda_core/docs/source/conf.py b/cuda_core/docs/source/conf.py index 52405aed2a..b688197895 100644 --- a/cuda_core/docs/source/conf.py +++ b/cuda_core/docs/source/conf.py @@ -26,6 +26,15 @@ release = os.environ["SPHINX_CUDA_CORE_VER"] +def _github_examples_ref(): + if int(os.environ.get("BUILD_PREVIEW", 0)) or int(os.environ.get("BUILD_LATEST", 0)): + return "main" + return f"cuda-core-v{release}" + + +GITHUB_EXAMPLES_REF = _github_examples_ref() + + # -- General configuration --------------------------------------------------- # Add any Sphinx extension module names here, as strings. They can be @@ -97,6 +106,10 @@ # skip cmdline prompts copybutton_exclude = ".linenos, .gp" +rst_epilog = f""" +.. |cuda_core_github_ref| replace:: {GITHUB_EXAMPLES_REF} +""" + intersphinx_mapping = { "python": ("https://docs.python.org/3/", None), "numpy": ("https://numpy.org/doc/stable/", None), diff --git a/cuda_core/docs/source/examples.rst b/cuda_core/docs/source/examples.rst index 8d9acbe0c5..45044a0c90 100644 --- a/cuda_core/docs/source/examples.rst +++ b/cuda_core/docs/source/examples.rst @@ -5,55 +5,55 @@ Examples ======== This page links to the ``cuda.core`` examples shipped in the -`cuda-python repository `_. +`cuda-python repository `_. Use it as a quick index when you want a runnable starting point for a specific workflow. Compilation and kernel launch ----------------------------- -- `vector_add.py `_ +- `vector_add.py `_ compiles and launches a simple vector-add kernel with CuPy arrays. -- `saxpy.py `_ +- `saxpy.py `_ JIT-compiles a templated SAXPY kernel and launches both float and double instantiations. -- `pytorch_example.py `_ +- `pytorch_example.py `_ launches a CUDA kernel with PyTorch tensors and a wrapped PyTorch stream. Multi-device and advanced launch configuration ---------------------------------------------- -- `simple_multi_gpu_example.py `_ +- `simple_multi_gpu_example.py `_ compiles and launches kernels across multiple GPUs. -- `thread_block_cluster.py `_ +- `thread_block_cluster.py `_ demonstrates thread block cluster launch configuration on Hopper-class GPUs. -- `tma_tensor_map.py `_ +- `tma_tensor_map.py `_ demonstrates Tensor Memory Accelerator descriptors and TMA-based bulk copies. Linking and graphs ------------------ -- `jit_lto_fractal.py `_ +- `jit_lto_fractal.py `_ uses JIT link-time optimization to link user-provided device code into a fractal workflow at runtime. -- `cuda_graphs.py `_ +- `cuda_graphs.py `_ captures and replays a multi-kernel CUDA graph to reduce launch overhead. Interoperability and memory access ---------------------------------- -- `memory_ops.py `_ +- `memory_ops.py `_ covers memory resources, pinned memory, device transfers, and DLPack interop. -- `strided_memory_view_cpu.py `_ +- `strided_memory_view_cpu.py `_ uses ``StridedMemoryView`` with JIT-compiled CPU code via ``cffi``. -- `strided_memory_view_gpu.py `_ +- `strided_memory_view_gpu.py `_ uses ``StridedMemoryView`` with JIT-compiled GPU code and foreign GPU buffers. -- `gl_interop_plasma.py `_ +- `gl_interop_plasma.py `_ renders a CUDA-generated plasma effect through OpenGL interop without CPU copies. System inspection ----------------- -- `show_device_properties.py `_ +- `show_device_properties.py `_ prints a detailed report of the CUDA devices available on the system. diff --git a/cuda_core/docs/source/getting-started.rst b/cuda_core/docs/source/getting-started.rst index c8ffc1eb79..1761f2cc37 100644 --- a/cuda_core/docs/source/getting-started.rst +++ b/cuda_core/docs/source/getting-started.rst @@ -32,7 +32,7 @@ Example: Compiling and Launching a CUDA kernel ---------------------------------------------- To get a taste for ``cuda.core``, let's walk through a simple example that compiles and launches a vector addition kernel. -You can find the complete example in `vector_add.py `_ +You can find the complete example in `vector_add.py `_ and browse the :doc:`examples page ` for the rest of the shipped workflows. @@ -80,7 +80,7 @@ Note the use of the ``name_expressions`` parameter to the :meth:`Program.compile Next, we retrieve the compiled kernel from the CUBIN and prepare the arguments and kernel configuration. We're using `CuPy `_ arrays as inputs for this example, but you can use PyTorch tensors too (see -`pytorch_example.py `_ +`pytorch_example.py `_ and the :doc:`examples page `). .. code-block:: python diff --git a/cuda_core/docs/source/interoperability.rst b/cuda_core/docs/source/interoperability.rst index 0e74615cca..ae109bbad0 100644 --- a/cuda_core/docs/source/interoperability.rst +++ b/cuda_core/docs/source/interoperability.rst @@ -66,18 +66,19 @@ designs gearing toward *stream-ordered* operations so as to avoid unnecessary sy While the designs are robust, *implementing* such protocols can be tricky and often requires a few iterations to ensure correctness. -``cuda.core`` offers a :func:`~utils.args_viewable_as_strided_memory` decorator for -extracting the metadata (such as pointer address, shape, strides, and dtype) from any -Python objects supporting either CAI or DLPack and returning a :class:`~utils.StridedMemoryView` -object. See the -`strided_memory_view_constructors.py `_ +``cuda.core`` offers a :func:`~utils.args_viewable_as_strided_memory` decorator +for extracting the metadata (such as pointer address, shape, strides, and +dtype) from any Python objects supporting either CAI or DLPack and returning a +:class:`~utils.StridedMemoryView` object. See the +`strided_memory_view_constructors.py `_ example for the explicit constructors, or -`strided_memory_view_cpu.py `_ +`strided_memory_view_cpu.py `_ and -`strided_memory_view_gpu.py `_ -for decorator-based workflows. This provides a *concrete implementation* to both protocols that is -**array-library-agnostic**, so that all Python projects can just rely on this without either -re-implementing (the consumer-side of) the protocols or tying to any particular array libraries. +`strided_memory_view_gpu.py `_ +for decorator-based workflows. This provides a *concrete implementation* to +both protocols that is **array-library-agnostic**, so that all Python projects +can just rely on this without either re-implementing (the consumer-side of) +the protocols or tying to any particular array libraries. The :attr:`~utils.StridedMemoryView.is_device_accessible` attribute can be used to check whether or not the underlying buffer can be accessed on GPU. diff --git a/pixi.toml b/pixi.toml index ceeeb8dcfa..e035d2ac64 100644 --- a/pixi.toml +++ b/pixi.toml @@ -49,37 +49,5 @@ depends-on = [ { task = "test-core" }, ] -# Docs Tasks -# Builds the package-local Sphinx docs through each package's docs environment. -# -# Usage: pixi run docs | pixi run docs-bindings | pixi run docs-core -[target.linux.tasks.docs-bindings] -cmd = [ - "pixi", - "run", - "--manifest-path", - "$PIXI_PROJECT_ROOT/cuda_bindings", - "-e", - "docs", - "build-docs", -] - -[target.linux.tasks.docs-core] -cmd = [ - "pixi", - "run", - "--manifest-path", - "$PIXI_PROJECT_ROOT/cuda_core", - "-e", - "docs", - "build-docs", -] - -[target.linux.tasks.docs] -depends-on = [ - { task = "docs-bindings" }, - { task = "docs-core" }, -] - [dependencies] ruff = ">=0.15.3,<0.16" From 659f20bf0cbbecef9c88550308bf110f7bdf1c82 Mon Sep 17 00:00:00 2001 From: Phillip Cloud <417981+cpcloud@users.noreply.github.com> Date: Wed, 8 Apr 2026 07:03:20 -0400 Subject: [PATCH 3/3] chore: refresh pixi lockfiles after rebasing Keep the pixi lockfiles aligned with the current manifests after rebasing onto the merged docs workflow and verifying the docs tasks. Made-with: Cursor --- cuda_bindings/pixi.lock | 112 ++++++++++++++++++++-------------------- cuda_core/pixi.lock | 12 ++--- 2 files changed, 62 insertions(+), 62 deletions(-) diff --git a/cuda_bindings/pixi.lock b/cuda_bindings/pixi.lock index 1d28f6f4a3..6ddcbe3e5e 100644 --- a/cuda_bindings/pixi.lock +++ b/cuda_bindings/pixi.lock @@ -1081,21 +1081,21 @@ environments: - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-h3394656_0.conda - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda - conda: https://conda.anaconda.org/conda-forge/linux-64/conda-gcc-specs-15.2.0-h53410ce_16.conda - - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-64-12.9.27-ha770c72_0.conda - - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-12.9.86-ha770c72_2.conda - - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-12.9.79-h5888daf_0.conda - - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-dev-12.9.79-h5888daf_0.conda - 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