Key | Value |
---|---|
MD5 | 6BFA637D9ADDF5BAB0B0AB66589C5CE8 |
PackageArch | noarch |
PackageDescription | Aesara is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It can use GPUs and perform efficient symbolic differentiation. This is a fork of the original (and no longer maintained) Theano library. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python38-aesara |
PackageRelease | 1.8 |
PackageVersion | 2.0.0 |
SHA-1 | B87CB88DC901909008E694EB22A0FC175C4E634C |
SHA-256 | 4152384A4A3115502C157B0BC4DF37869B38E0FD25803C72FDD39E04AD9EA13F |
hashlookup:children-total | 648 |
hashlookup:trust | 50 |
The searched file hash includes 648 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/aesara/tensor/nnet/__init__.py |
FileSize | 1363 |
MD5 | C3414BC03E3520776FE41CE40298BB17 |
SHA-1 | 00558DE39E2A7952F1ACD14F8A6977F7B23EAD8F |
SHA-256 | ACA4E010208D015002B4A1471D45574E7672809D677EC7E7825B5D1502A7F082 |
SSDEEP | 24:iJLFJL24L8LUO5TqfY1yiq/qCNj+NKBcJghQFoftY5bn5q5e5r5a5ORLNoGTLD8X:wFF24LaUO9qfY1yiq/qCV+UBcJghQFop |
TLSH | T18221B4591CA95E118496576B3D4AAC993112730B4C363ECEB73686084F8C36F5EB442C |
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/aesara/tensor/type.py |
FileSize | 37255 |
MD5 | BB133DF4EC49FA499DBF7C63133EAF6E |
SHA-1 | 008BA9AD648AFF147173B2FF909844732F1A3907 |
SHA-256 | 282764155E2BB81BF2E107BE167570BC380BF6975729119B2D82477F331914E0 |
SSDEEP | 768:yuujUyL36tC8V1QD9kt1mFqsF72E4+bN4UhW4duI/YQxxaJPRI4lh:yuuwyLEC8TQatQFfF6E4+bN44W+uI/YD |
TLSH | T185F2C852FA0A4D3256938938CDC3B405E7A5668B03482A7478FC91797F15B2AD2BDFCC |
Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/aesara/tensor/__pycache__/blas_headers.cpython-38.pyc |
FileSize | 66056 |
MD5 | F1259D14E8DB6A404BD57EA9ACFEC0BE |
SHA-1 | 01E083DF2713B7EED361E4661845E7A0D6C8C75B |
SHA-256 | 05D22F0E70417CEECF7F872417FCAB16240D22A83CA6A6A3121AB7F500F436F8 |
SSDEEP | 384:WZ4My0iMRGlt0QZM+ITltMd6yoo18MMrkt3S7YNlG:WJy0iMglWyx18MG7Y2 |
TLSH | T18053110F16222096A990D1F4ABE704494215EB437B90E8FD778EB2724F5B249E473EF7 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/aesara/link/c/cvm.py |
FileSize | 1069 |
MD5 | 648D670E22471E7845693BEA16D7BA5E |
SHA-1 | 01E4699853AEC533AB6E1EC0C0C918CBE78A0AAB |
SHA-256 | 6C50B08851DE3A179B08E1E31B0885FFBB24DC3C77D3440AACF0E9E75B3816F9 |
SSDEEP | 24:1fjmXS+thI9vMjG9asrUjARAWlwMNs/iWC8i6:J3UhIcxsrUjO9eMioc |
TLSH | T1D811893F272E8EA780614D24863FA432CB1A6AB31F9030BCF4ECF6185F85860852E755 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/aesara/misc/__pycache__/elemwise_openmp_speedup.cpython-38.opt-1.pyc |
FileSize | 1916 |
MD5 | 9F6CC6CBD50346164FF60FED66733832 |
SHA-1 | 020929F50AF0FE9D1CBDBAFC12361745E3E7DD06 |
SHA-256 | CFA39BE7E6EBBE8987D84FEBF9085255CEE020B97D28B1398B4E76F0482993C2 |
SSDEEP | 24:q8eCEqH6XhmCOn1HLy6oktbQFUfyhvz7g9GZbloGwO6v7+FSAuNxxomEqORqf79w:peCEuNxfyhrYob2G98/xkqO8x//Q |
TLSH | T1F041D715E605C336F840F3F1187B036042B497F0F395EAA86B0123D99F452EA0CB788A |
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/aesara/tensor/signal/conv.py |
FileSize | 3726 |
MD5 | 1163995A8C91295F51930FC3C45CB573 |
SHA-1 | 0235595B001902375E0541C2A7B4AE54FC50F03E |
SHA-256 | A5966EE4C72A3BCB7A0D101ACF9618C0845ED3A8CCB203182024E745F2C82879 |
SSDEEP | 96:e79vOdJypJEC52IHUwVtYm/0sEiWdb8gjt:Gvw8EuDBtYm/GiWdb8gjt |
TLSH | T15A71522A9D92349A01534371BFCB600B5B7245270F459A2ABC9C62002F5F739E37EFAC |
Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/aesara/misc/__pycache__/safe_asarray.cpython-38.pyc |
FileSize | 1678 |
MD5 | EDFA1464D1ABDCB6D197D0C8413C653D |
SHA-1 | 024C6F96B36F6B53B6DB4D2C6C4E0D30083C05E9 |
SHA-256 | 2C460B2BD2EE2515D6CB3741843B9210DDC390706E03A50C07FA24A8E2B20E8D |
SSDEEP | 48:cjoQIw/o5RGCPdcbV9osE1zBEU4ybU9ppBqSf:2ego3eV8/EnFt |
TLSH | T1733184823684A9FED523BBB2B49820394336C1FF3340D879B84ED0791F0542592B2BDC |
Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/aesara/sparse/__pycache__/basic.cpython-38.opt-1.pyc |
FileSize | 96994 |
MD5 | 42C41B94947F64554F7E5B5C7501DC8B |
SHA-1 | 030A672675A46BE4E12456DAD563A56557F5281E |
SHA-256 | BDD9AA01F10A0B5B0B570597B31E6320D3F57A47CE1AB382912361B18B7721BD |
SSDEEP | 1536:MiATAzKQF6V7CyVAe/4u6aTRyRYsRck4LrfAe60qlQ9wc4vWQZtiKwc4vWQZsT4y:bATsgCyng4k07C0ec4vWQZtifc4vWQZQ |
TLSH | T1FC9396B8BA715C4BF860F2B995C93731A625C36B138A8903B50D846F3F412D8BD7E95C |
Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/aesara/gpuarray/__pycache__/cudnn_defs.cpython-38.opt-1.pyc |
FileSize | 9297 |
MD5 | 17497F88FD336A858DBEAEE43A15E729 |
SHA-1 | 032D7C3911A84793D60AC3B2BBD946587D94E2AC |
SHA-256 | F5E533B2F4DC96FCEE535130BF90CF8D480E63873638BBBE097C0BE4C42D16CB |
SSDEEP | 192:xD/qnq5qulQk+FEIr7MZ/mh01EG5qYB8Qq0QOqqrRsSIH2Yt2d/U27//WQxIqqns:xD/qnq5qupZOh0D5q5Qq0QOqqrRsSw2r |
TLSH | T11812E7D03E6A7EDBF02DF2FA9455070E1974123E27509442796D00A91F0B7B5CAB13DB |
Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/aesara/graph/__pycache__/fg.cpython-38.pyc |
FileSize | 22716 |
MD5 | DED66A170C4A7160E5C4AA9C0AEDDDC2 |
SHA-1 | 04593854CAD7FF949B4E6E8D7BC4292F3A1BF74E |
SHA-256 | 41233193AF467AD82CEC4A3425A5051D35247A712A02F5AA85D01269B2230FF4 |
SSDEEP | 384:ub8V8e7f8AbFHW6gCPmxIfiKmwbiuBdD/fqfCElk04K66:uAV828AbFjwmJvP/SQK5 |
TLSH | T185A2E75DEA41ABBAFC52F2B5568F026DE630C13B17275028B45CA15E1F019548F3EEEC |