Result for BAD8865EF06912FDC2722B07929A2F227DAC7D10

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Children (38)

Query result

Key Value
FileSize305544
MD5E4F8E3FB210F874CA5CEA867588F3D49
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
PackageVersion2016.1-1
SHA-1BAD8865EF06912FDC2722B07929A2F227DAC7D10
SHA-2565EA5CC2232706D0BF8DD888AB4C73779A3F800658589177601A4BC8CBDF47F72
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/reduction.py
FileSize14036
MD519977308E15143EB99721C7CBEC25B4C
SHA-1015E89EDE43DA5048401F8F6CA7DF6B3A742B263
SHA-2560FF56090204F58F03CF1BC794D944A78252B421EFB49389D3C661F8793C76911
SSDEEP384:RczccA5FL5oXXczXcXXcscXcFXclXcNAE2pa9Yy2AY0A2FDie0qGiCI/YYGtwYYQ:+lA5F02pa9Yy2AY0A2FDie0qGiCI/YYu
TLSHT1E752D89658546CF143D39CFC6A9670416661E70B294425A03CACE3AD3F2923FA2F77D8
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/gpuarray.py
FileSize50603
MD5EA2A1C2DBA2F74875F31DA65540B8AE8
SHA-109B6CA097A26CC6225B5462C93FCB977E21C5EE4
SHA-256947CDABED1D1E7E92E277788EA9CEF63140AEC7D4127EF37FEB50337A3419230
SSDEEP1536:dSGgCMsNeWJAPcKOjFASkysf1hdPSa5pDdGGEdzZpM:dSGg7sNeWJAPzOjFnsf1hdPSa5pJGGEG
TLSHT1D63396D26D5A586AA2C3E50C89D3BC03B345671B070C65B579BC69A12F1122DB3BCBEC
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/gl/autoinit.py
FileSize292
MD570111614C0C27E72482E61F40E33ED41
SHA-10C6B1B9B6135EE94ECB6B78C8A61960DB4CE5AE0
SHA-256F99CD24FE4968F1E83BC1D7101D36704894E62BC2565B77B6D964AB104089203
SSDEEP6:zGaHqOGbOhACTB7XIgYuQfHH9e9/MH9U43D6JqSn2Qin0N0V:zZe4B7XIQQPHvHCo6JjY0w
TLSHT1FCE0C23F6023E9267B22781D5685500E13F2BE1AEB08D8F112AB005E47C6233D0CC324
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/_pvt_struct.cpython-35m-x86_64-linux-gnu.so
FileSize36976
MD578AA29D34B524C14F70FBF0A9CC24A8E
SHA-10D20A29CD1B7333991ECEFF9817AB193BFC54F8B
SHA-256BED5254C2DF1B0399DB99E24EA5F75E3F78A5AEBFCD899B351F7849111E4E713
SSDEEP384:ILIsmN565FJ7uDWP54tGjGndGIb3Qyy2YCh8STyz0vXciSQe55E+v4u/OjfX2TF:U55DCDWBendNAypYMptC55Eq/
TLSHT1B6F2094BB7E285FDD17587B088838BB5BE74B850432066B23584E6781552A241F6FFB8
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/sparse/inner.py
FileSize1358
MD549422904D6AD03FB59831F3FD3A87317
SHA-124506FC4CDD036E35C10E59D10346BB213009757
SHA-256AE553C6AFB0A7B6DAAE38AC12B209D49FF4FE9DE4B03D712132FB4850F7E1743
SSDEEP12:8GLtDHScBdbqLX1AzbatKsZFqIeJXV3BivViRZZ6WkuViREekViRDV9nVZVNNViN:tUnAatKs7qjJXV3BiNK6idk9VrdWX
TLSHT1B8216E44C9514D25436B9C27B843B76B159A2E23FE0C10BC747E5551DF2536CAAF4CF4
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/tools.py
FileSize14239
MD5718A4A810863D5A6F94B9D75DE7BDFF4
SHA-128928EE7A23A3EDBA2359E0393F29C76998462F2
SHA-2564DB66EE197B97CDD490E5363CC7957E84DFA7DBD16E8DF7A3F9BFFDACFB9EFC9
SSDEEP384:rcmWF09OgPwrEu4IVStfxUY0HTZVVJfGa+:YlF0pwrEu4KStfxUYA/VJfGa+
TLSHT17C52B55E3852A422A343D92D4CD3F003A36BAE57584C39B0F8ECA1643F45665C2F9FE9
Key Value
FileName./usr/share/doc/python3-pycuda/NEWS.Debian.gz
FileSize379
MD57DC3E7424D573812394232C6673F9952
SHA-12C52707ACE992C67397C883EDA1EC8565280DAD1
SHA-256DF8D2D4FBA6158CC9FCC9C9BD1EFA340C092EEAAF43A016A1022C6FA7962F932
SSDEEP6:XtB2ahXFvALtZbXItAK4srKUBDa9ec6QotKbYVBMGpuDzmuCqm2LnAUrn:X/otk66c6RtRomtqm+Aq
TLSHT107E0F8002D8C8F3BA2072AAAE82E82039EA8F9A120B2AC4314389CB0294931902C8120
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/scan.py
FileSize13074
MD5B5B8754771452D6F459EEA175F7265B3
SHA-12F04A03CAA533F1F2C451752D9D013C1D3A9E1DD
SHA-2560A22B62C03F8FD23DEA8E09F8D4F7A7AD24F11BBFC43A47190A87E62EE755A78
SSDEEP384:Z3+54lY7pm555DQh6ZPpsI2TSZNe753A+2:Zrlih6ZPpsTTSZI53A+2
TLSHT11042773A3B1350565A6311B92B8E30013109E54725CEAD947B1D43B01FAB52BF7BEBDD





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