Result for 7B876E306C744A434863A8A7A7409C00F99F59E2

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Children (38)

Query result

Key Value
FileSize307804
MD51DE995FED311F0052B30D839B39E4C70
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-pycuda
PackageSectioncontrib/python
PackageVersion2017.1.1-2
SHA-17B876E306C744A434863A8A7A7409C00F99F59E2
SHA-256165E2BF2E4F280EE37F0072F3963E9344E37C2478552F23DCF5D74ABE7FED7FF
hashlookup:children-total38
hashlookup:trust50

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Children (Total: 38)

The searched file hash includes 38 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3/dist-packages/pycuda/cuda/pycuda-helpers.hpp
FileSize10070
MD54C8D1D1BEBC1478587E87CAAB270CD6D
SHA-10567F1CA0F8F03418B683AB8EC6B90B1FD98431A
SHA-256DE0698D5369F896587A451FE8E05ACE2DF22530F60C9C8B09B733A12F086BE0A
SSDEEP192:v9N3RKRSlDRr6RRUzI1pZT0Ij6CD2zMrZBw2gnBr4BEWpKYPm:xwwkO
TLSHT19422F33C51AA7C0B6A63C27B9B9A0805DFA6C3D144C6FA3664DC66341D4D2CD99EC8F3
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/_pvt_struct.cpython-36m-x86_64-linux-gnu.so
FileSize36256
MD5A42AA6646A80DA570B09817D797E075F
SHA-10778CF446519FF6655755691FCA4E0AD98507B20
SHA-2561729D3E04391A11C2DD344CF2813E38518EFE74B382848EBE735146742921002
SSDEEP384:LDRIvYNHdvy3GiINa0gjJZAErWju4jOMMlzBbhl7u+v4u/OjfX2TFN/A4:LDRxHHE0gVeErWjuGTaBbhl7uq/h
TLSHT167F22A1FB3E2847ED6754774888386B16E78F48083B156B77440E6782692F150F7FEA4
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/sparse/operator.py
FileSize889
MD5286884C9066246FEBC7E00E624AAFFDC
SHA-109B48DBE9393243ADB186FEBEA4EBD5AF87BE1BB
SHA-256E0A7BE87F22A21907D277CDD6161821464E6E134D0B0B0E84D2C0BC5F499EB53
SSDEEP12:2yEJfnxqfnx+7p1AP4w9i9toEiVhRgdJ1Q0JGp1A38RF9h99i+MYRiV99C5:2yEJPxqPxWTAP4XiLRErGTAtIia
TLSHT172112F596B8BD029A647C7398092F543D20D1E078D2C2CA5B2FC7160EF66F20D6C8EF0
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/compiler.py
FileSize16347
MD540F15D43AA437A4465E5C67825B8D289
SHA-11BF477D679F80BFAFB024AEB11C439F725166604
SHA-256A6C7493B600A9238567B642412F97BD7314E5F39B6473912D3913D42F474A31C
SSDEEP384:cPgAtq/P6x11MpPJm5NFXKvlz8GMKhpKsGS:cPgoqH6x11MpU3FXKDMysS
TLSHT15B7273521A555872E363CADDE4874012439AF593AF1C1078B8EC539C2FA06A5E2F3EFC
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/_mymako.py
FileSize611
MD5CE517F9ED562FF82E3FB54B4FD42DD11
SHA-121937F03AFB4F84335266490905BFAD5E34DAB6B
SHA-2568B8D588E5CB1E2C3EC0F421B633B16E0A65938A72492BFE3572FDA2CA36E1CF8
SSDEEP12:1RjCBxVHeRwk5Cz3sPPKq+eYwjQPfazID8wEgZILIVDwgM6uK/l:1R2IwqCz3sPSqJY/33DfEmILIJ9Ht
TLSHT151F05911C5128BF0269C82DC085A52B29B251C435B7284D434CF47AC3F579687E3EB48
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/pycuda-2017.1.1.egg-info/PKG-INFO
FileSize2916
MD53A694A437E242D1E4063661DEAC9E54B
SHA-125390E8F8CD30DE769D6D18C9121DC883E3D8B2A
SHA-256DD4F6A2A6470AB8478630B4495766162FB12D3DBE93A5513A2127C028C62E492
SSDEEP48:D2KcKTbvy9nMdZ3V0y7E7nc/eYKpNRVQDOAV2RMrWMHbs4+awiaD+Uerm:D27YvCMddc8KnRqDgMHQDajaD+Uerm
TLSHT14D51444110C09DE05B62CB86A3618B458B644693D7AD189DB8FC1A1D7F71B73E23D23C
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/cuda/pycuda-complex-impl.hpp
FileSize11542
MD5524D82533E97C9C12986D738A85EF70D
SHA-125D051E148BBDCD95344B3BBF8CFDA1EE560658C
SHA-256A2196178BF8D5AF5AE91DD7BF13FFEC95CCCBEFFE86814E46B14F9298C679290
SSDEEP192:ZSZjKwulBlBlpl7dsTeDb3m0Xz5DQonc7w3++RRSgBLLLjNXgg+NuQuorOzzWvTd:Z2ilBlBlpljb5h7XjLo/
TLSHT1AC32885C3C99F0B70673D4A25E47D190E2093265BB04EBA9B91DC2949F53314E22E6EF
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/sparse/pkt_build.py
FileSize2751
MD50E0AAF0C51912CDB118236966EF76772
SHA-1271AD2B2CA967F5E0E8F0BE63989B6E597A08387
SHA-256D5D58D3E7F3178A150CA960D7A6331B8043ED5F3EA7BF3249039CD8E1298C579
SSDEEP48:PGVbX3Ez0iE004Wn+o4IJISTzgcFdbrULeYgr+rAbbkS6v8cFsyV4IbINWItEvme:+VbX3Ez0iE004Wn+NISSTzvnr47drAb0
TLSHT12251CE1E461F65DDB6F7AD7404BC5B4261372A5B4D806100F75DCC204F9E2B4F22AD60
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/cumath.py
FileSize4557
MD5A56B6EB7BC7964A8A379E26D7C1D9874
SHA-1288E993BA3DB2B4F32C8C8DD4EDED61B87CE27C3
SHA-2564C722FE8C7059AF96ABBA2220CC2BDC30BEF48CB9CB3DAA848749D62ABEE8535
SSDEEP96:kjWMmuBf02WyMV6P4o9EMJO54Q7DmqASX43M4NSmzuADmZGV43446pv:klf0qHP4MDc5vDGSXNvqPDZhZv
TLSHT1769133AE2F8256BCA6CA358D08AA08C363D0E137324014F57B5F6E991F2151DF7B51AC
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/share/doc/python3-pycuda/NEWS.Debian.gz
FileSize379
MD57DC3E7424D573812394232C6673F9952
SHA-12C52707ACE992C67397C883EDA1EC8565280DAD1
SHA-256DF8D2D4FBA6158CC9FCC9C9BD1EFA340C092EEAAF43A016A1022C6FA7962F932
SSDEEP6:XtB2ahXFvALtZbXItAK4srKUBDa9ec6QotKbYVBMGpuDzmuCqm2LnAUrn:X/otk66c6RtRomtqm+Aq
TLSHT107E0F8002D8C8F3BA2072AAAE82E82039EA8F9A120B2AC4314389CB0294931902C8120





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