[ buster ]
[ bullseye ]
[ 源代码： pycuda ]
软件包：python3-pycuda-dbg（2018.1.1-3） [contrib]
Python 3 module to access Nvidia‘s CUDA API (debug extensions)
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 debug extensions for the Python 3 debug interpreter.
其他与 python3-pycuda-dbg 有关的软件包
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- dep: libboost-python1.67.0
- Boost.Python Library
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- dep: libboost-thread1.67.0
- portable C++ multi-threading
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- dep: libc6 (>= 2.14)
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
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- dep: libcuda1 (>= 340)
- NVIDIA CUDA Driver Library
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- dep: libcurand9.2
- NVIDIA cuRAND Library
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- dep: libgcc1 (>= 1:3.0)
- GCC 支持库
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- dep: libstdc++6 (>= 5.2)
- GNU 标准 C++ 库，第3版
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- dep: python3-dbg (<< 3.8)
- debug build of the Python 3 Interpreter (version 3.7)
- dep: python3-dbg (>= 3.7~)
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- dep: python3-numpy (>= 1:1.16.0~rc1)
- Fast array facility to the Python 3 language
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- dep: python3-numpy-abi9
- 本虚包由这些包填实： python3-numpy
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- dep: python3-pycuda (= 2018.1.1-3)
- Python 3 module to access Nvidia‘s CUDA parallel computation API