Parents (Total: 26)

The searched file hash is included in 26 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	445392
MD5	F0D90B4C77B023A8E9B76E7388A5BBD5
PackageDescription	Python 3 module to access OpenCL parallel computation API PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart: * 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. * Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. * Convenience. While PyOpenCL's primary focus is to make all of OpenCL accessible, it tries hard to make your life less complicated as it does so--without taking any shortcuts. * Automatic Error Checking. All OpenCL errors are automatically translated into Python exceptions. * Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free. * Helpful, complete documentation and a wiki. * Liberal licensing (MIT). . This package contains Python 3 modules.
PackageMaintainer	Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageName	python3-pyopencl
PackageSection	python
PackageVersion	2021.1.2-1
SHA-1	0BE986F1DDC0785107A12D4B195CADEB9336648E
SHA-256	C0CA43F496098399CDB3B9CF066A691EACCAA0E1556490C56566CE12042C486B

Key	Value
FileSize	358152
MD5	C3825CF1F0AEDC95033009FB7B94B79D
PackageDescription	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.
PackageMaintainer	Debian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageName	python3-pycuda
PackageSection	contrib/python
PackageVersion	2021.1~dfsg-3
SHA-1	12B61B011445E8184C46C2B00A7EE21E1BCE300D
SHA-256	DA26AF59EF98CC358ABE81F9B664005E4685AD4ECBD5F68B1121CF8C92CD3329

Key	Value
MD5	A793F061D569F5FBE8104FBBFA727103
PackageArch	armv7hl
PackageDescription	Python 3 version of python-pyopencl.
PackageMaintainer	Fedora Project
PackageName	python3-pyopencl
PackageRelease	1.fc34
PackageVersion	2021.1.4
SHA-1	1D3A7F7182F9CD4F1E41786501C403A25F66F60D
SHA-256	CEE738D7BDA7468A82DE4D89A7EF9C53BE59CE9AEE65F14A90DECC825B6C8B43

Key	Value
MD5	CF6A4192D5AB1BDF623C9BCEDF4EEE15
PackageArch	aarch64
PackageDescription	PyOpenCL makes it possible to access GPUs and other massively parallel compute devices from Python. Specifically, PyOpenCL provides Pythonic access to the OpenCL parallel computation API in a manner similar to the sister project `PyCUDA`. Python 3 version.
PackageMaintainer	Fedora Project
PackageName	python3-pyopencl
PackageRelease	1.fc33
PackageVersion	2020.2.2
SHA-1	3C10D81B9F93C92B1D3AFB6BAEB44707DA4C27C9
SHA-256	D75730643FE3A8618B1619214A9CED7FDF7B2564AAE5F22BA26BB479833E86C0

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//community//./python-pyopencl-1:2021.1.4-1-x86_64.pkg.tar.zst
MD5	BE66265BAFD87A154E46A393E7003B5B
SHA-1	42B18FE35A0776114DB0C72E0D487BEC9DD49247
SHA-256	FC3DF413CCF179A173F9EBDD629FD130A17E0FB004094ED56F44652123EB7156
SSDEEP	12288:dvVwRw+9F0A2tz09VrykBSuUvWsMnzroGj8ciFo6GO3:VqmmJyHm2vxAzMGjOo6GS
TLSH	T1EBC4235B15F81EBDCC37B61F05A5A8FE89BC27F951AF78108A19CA03275E1E3590C26C

Key	Value
FileSize	443728
MD5	9CC7F2F6E6F5BC6D152EA15D72644DE5
PackageDescription	Python 3 module to access OpenCL parallel computation API PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart: * 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. * Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. * Convenience. While PyOpenCL's primary focus is to make all of OpenCL accessible, it tries hard to make your life less complicated as it does so--without taking any shortcuts. * Automatic Error Checking. All OpenCL errors are automatically translated into Python exceptions. * Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free. * Helpful, complete documentation and a wiki. * Liberal licensing (MIT). . This package contains Python 3 modules.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-pyopencl
PackageSection	python
PackageVersion	2021.1.2-1build1
SHA-1	46524A913C896E26B070D70CEADCDBC04D96AACD
SHA-256	9AEDEAD6DB47EC1B0304A10A7CFEF941DA3C870747B76DF0954581098588CF00

Key	Value
MD5	9E09C1602C9FDC9C01709C60F89FA21D
PackageArch	x86_64
PackageDescription	PyOpenCL makes it possible to access GPUs and other massively parallel compute devices from Python. Specifically, PyOpenCL provides Pythonic access to the OpenCL parallel computation API in a manner similar to the sister project `PyCUDA`. Python 3 version.
PackageMaintainer	Fedora Project
PackageName	python3-pyopencl
PackageRelease	1.fc33
PackageVersion	2020.2.2
SHA-1	4B44B6B18CC24A60703F13E3230E567DD255F0B7
SHA-256	0AC1230CDE201F09EEDA1E0B31D1D707A70730CF450D6F90819AB550CABFAC3E

Key	Value
MD5	550D36DFE813F921E01471FC38C98B5E
PackageArch	armv7hl
PackageDescription	PyOpenCL makes it possible to access GPUs and other massively parallel compute devices from Python. Specifically, PyOpenCL provides Pythonic access to the OpenCL parallel computation API in a manner similar to the sister project `PyCUDA`. Python 3 version.
PackageMaintainer	Fedora Project
PackageName	python3-pyopencl
PackageRelease	1.fc33
PackageVersion	2020.2.2
SHA-1	530F5C97D2F44CD0981B4ABB8A4A9FCB8B17ED49
SHA-256	BC50AFCDE0D388734F07B3AAA8AE83492B9563B87F1E5A2B34160A579637B5C2

Key	Value
FileSize	401124
MD5	4CDBCA33930409CC637F2109A603FE86
PackageDescription	Python 3 module to access OpenCL parallel computation API PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart: * 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. * Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. * Convenience. While PyOpenCL's primary focus is to make all of OpenCL accessible, it tries hard to make your life less complicated as it does so--without taking any shortcuts. * Automatic Error Checking. All OpenCL errors are automatically translated into Python exceptions. * Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free. * Helpful, complete documentation and a wiki. * Liberal licensing (MIT). . This package contains Python 3 modules.
PackageMaintainer	Debian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageName	python3-pyopencl
PackageSection	python
PackageVersion	2021.1.2-1
SHA-1	5C3D0C2AA31C497770A8A2C65F74FC2EA7F56FF7
SHA-256	491C84FEEB2306CA208F5559AB58463F3E9877958DFDE5455F3FE133D957FAAE

Key	Value
FileSize	365912
MD5	F1996CF668237BB6A9C352FEF1D96F4A
PackageDescription	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.
PackageMaintainer	Debian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageName	python3-pycuda
PackageSection	contrib/python
PackageVersion	2021.1~dfsg-2
SHA-1	5CCBA9F4C5A56AD9B78B3791A34A5F26B5C917BE
SHA-256	651F1600425FF7485C70FCC8287486DCE510891F1FE293E71BA326689A6C6352