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<meta charset="utf-8"> | ||
<meta http-equiv="refresh" content="0; url=latest/" /> | ||
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<a href="latest/">our latest docs</a>. | ||
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# Sphinx build info version 1 | ||
# This file records the configuration used when building these files. When it is not found, a full rebuild will be done. | ||
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docs/pr-preview/pr-427/cuda-bindings/latest/_sources/api.rst.txt
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------------------------- | ||
CUDA Python API Reference | ||
------------------------- | ||
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.. toctree:: | ||
:maxdepth: 3 | ||
:caption: CaptionHolder: | ||
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module/driver | ||
module/runtime | ||
module/nvrtc | ||
module/nvjitlink |
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docs/pr-preview/pr-427/cuda-bindings/latest/_sources/environment_variables.md.txt
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# Environment Variables | ||
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## Build-Time Environment Variables | ||
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- `CUDA_HOME` or `CUDA_PATH`: Specifies the location of the CUDA Toolkit. | ||
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- `CUDA_PYTHON_PARSER_CACHING` : bool, toggles the caching of parsed header files during the cuda-bindings build process. If caching is enabled (`CUDA_PYTHON_PARSER_CACHING` is True), the cache path is set to ./cache_<library_name>, where <library_name> is derived from the cuda toolkit libraries used to build cuda-bindings. | ||
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- `CUDA_PYTHON_PARALLEL_LEVEL` (previously `PARALLEL_LEVEL`) : int, sets the number of threads used in the compilation of extension modules. Not setting it or setting it to 0 would disable parallel builds. | ||
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## Runtime Environment Variables | ||
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- `CUDA_PYTHON_CUDA_PER_THREAD_DEFAULT_STREAM` : When set to 1, the default stream is the per-thread default stream. When set to 0, the default stream is the legacy default stream. This defaults to 0, for the legacy default stream. See [Stream Synchronization Behavior](https://docs.nvidia.com/cuda/cuda-runtime-api/stream-sync-behavior.html) for an explanation of the legacy and per-thread default streams. |
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docs/pr-preview/pr-427/cuda-bindings/latest/_sources/index.rst.txt
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``cuda.bindings``: Low-level Python Bindings for CUDA | ||
===================================================== | ||
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.. toctree:: | ||
:maxdepth: 2 | ||
:caption: Contents: | ||
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release | ||
install.md | ||
overview.md | ||
motivation.md | ||
environment_variables.md | ||
api | ||
tips_and_tricks | ||
support | ||
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Indices and tables | ||
================== | ||
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* :ref:`genindex` | ||
* :ref:`modindex` | ||
* :ref:`search` |
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docs/pr-preview/pr-427/cuda-bindings/latest/_sources/install.md.txt
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# Installation | ||
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## Runtime Requirements | ||
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`cuda.bindings` supports the same platforms as CUDA. Runtime dependencies are: | ||
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* Driver: Linux (450.80.02 or later) Windows (456.38 or later) | ||
* CUDA Toolkit 12.x | ||
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```{note} | ||
Only the NVRTC and nvJitLink redistributable components are required from the CUDA Toolkit, which can be obtained via PyPI, Conda, or local installers (as described in the CUDA Toolkit [Windows](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html) and [Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html) Installation Guides). | ||
``` | ||
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Starting from v12.8.0, `cuda-python` becomes a meta package which currently depends only on `cuda-bindings`; in the future more sub-packages will be added to `cuda-python`. In the instructions below, we still use `cuda-python` as example to serve existing users, but everything is applicable to `cuda-bindings` as well. | ||
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## Installing from PyPI | ||
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```console | ||
$ pip install -U cuda-python | ||
``` | ||
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Install all optional dependencies with: | ||
```{code-block} shell | ||
pip install -U cuda-python[all] | ||
``` | ||
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Where the optional dependencies are: | ||
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* nvidia-cuda-nvrtc-cu12 (Provides NVRTC shared library) | ||
* nvidia-nvjitlink-cu12>=12.3 (Provides nvJitLink shared library) | ||
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## Installing from Conda | ||
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```console | ||
$ conda install -c conda-forge cuda-python | ||
``` | ||
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## Installing from Source | ||
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### Requirements | ||
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* CUDA Toolkit headers[^1] | ||
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[^1]: User projects that `cimport` CUDA symbols in Cython must also use CUDA Toolkit (CTK) types as provided by the `cuda.bindings` major.minor version. This results in CTK headers becoming a transitive dependency of downstream projects through CUDA Python. | ||
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Source builds require that the provided CUDA headers are of the same major.minor version as the `cuda.bindings` you're trying to build. Despite this requirement, note that the minor version compatibility is still maintained. Use the `CUDA_HOME` (or `CUDA_PATH`) environment variable to specify the location of your headers. For example, if your headers are located in `/usr/local/cuda/include`, then you should set `CUDA_HOME` with: | ||
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```console | ||
$ export CUDA_HOME=/usr/local/cuda | ||
``` | ||
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See [Environment Variables](environment_variables.md) for a description of other build-time environment variables. | ||
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```{note} | ||
Only `cydriver`, `cyruntime` and `cynvrtc` are impacted by the header requirement. | ||
``` | ||
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### Editable Install | ||
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You can use | ||
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```console | ||
$ pip install -v -e . | ||
``` | ||
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to install the module as editable in your current Python environment (e.g. for testing of porting other libraries to use the binding). |
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