[ Източник: pycuda ]
Пакет: python3-pycuda (2024.1.2~dfsg-1) [contrib]
Връзки за python3-pycuda
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Изтегляне на пакет-източник pycuda.
- [pycuda_2024.1.2~dfsg-1.dsc]
- [pycuda_2024.1.2~dfsg.orig.tar.xz]
- [pycuda_2024.1.2~dfsg-1.debian.tar.xz]
Отговорници:
- Debian NVIDIA Maintainers (Страница за QA, Пощенски архив)
- Tomasz Rybak (Страница за QA)
- Andreas Beckmann (Страница за QA)
Външни препратки:
- Начална страница [mathema.tician.de]
Подобни пакети:
Python 3 module to access Nvidia‘s CUDA parallel computation API
PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA?
* Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation.
This package contains Python 3 modules.
Други пакети, свързани с python3-pycuda
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-
- dep: libboost-python1.83.0 (>= 1.83.0)
- Boost.Python Library
-
- dep: libboost-python1.83.0-py312
- виртуален пакет, предлаган от libboost-python1.83.0
-
- dep: libboost-thread1.83.0 (>= 1.83.0)
- portable C++ multi-threading
-
- dep: libc6 (>= 2.32)
- GNU C Library: Shared libraries
също и виртуален пакет, предлаган от libc6-udeb
-
- dep: libcuda1 (>= 450.66)
- NVIDIA CUDA Driver Library
- или libcuda.so.1 (>= 450.66)
- Пакетът не е наличен
-
- dep: libcurand10
- NVIDIA cuRAND Library
-
- dep: libgcc-s1 (>= 3.0)
- GCC support library
-
- dep: libstdc++6 (>= 14)
- GNU Standard C++ Library v3
-
- dep: nvidia-cuda-toolkit
- NVIDIA CUDA development toolkit
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.13)
- dep: python3 (>= 3.12~)
-
- dep: python3-mako
- fast and lightweight templating for the Python 3 platform
-
- dep: python3-numpy (>= 1:1.25.0)
- Fast array facility to the Python language (Python 3)
-
- dep: python3-numpy-abi9
- виртуален пакет, предлаган от python3-numpy
-
- dep: python3-platformdirs (>= 2.2.0)
- determining appropriate platform-specific directories (Python 3)
-
- dep: python3-pytools
- big bag of things supplementing Python 3 standard library
-
- rec: python-pycuda-doc
- module to access Nvidia‘s CUDA computation API (documentation)
-
- sug: python3-matplotlib
- Python based plotting system in a style similar to Matlab
-
- sug: python3-opengl
- Python bindings to OpenGL (Python 3)
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- sug: python3-pytest
- Simple, powerful testing in Python3
Изтегляне на python3-pycuda
Архитектура | Големина на пакета | Големина след инсталиране | Файлове |
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ppc64el | 322,8 кБ | 2 384,0 кБ | [списък на файловете] |