Key | Value |
---|---|
MD5 | B6791590BEC36A1888CD459295F67FB6 |
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 This is a fork of the original (and no longer maintained) Theano library.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://www.suse.com/ |
PackageName | python3-aesara |
PackageRelease | lp154.3.1 |
PackageVersion | 2.0.0 |
SHA-1 | 4BE2F026275546F468EFF63F5140985337FE00A6 |
SHA-256 | 76301C68080069259BBBBED08AA21753FB2B1865ECC382106F949FC122FCD10D |
hashlookup:children-total | 646 |
hashlookup:trust | 50 |
The searched file hash includes 646 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/aesara/tensor/random/__pycache__/basic.cpython-36.pyc |
FileSize | 15451 |
MD5 | A65243CD25B734B96A89318E68A9E0C9 |
SHA-1 | 002310A081F9CF6029F56D3BC71EF603BBA69A23 |
SHA-256 | 5151C4901BB4106024661BBAFF43D6FA508F57EEF987B78DDE53136B5E708E15 |
SSDEEP | 384:KlVVTH/Y3Erf/nV3NqDEVUHaHQm8/JMj2bKxEGKqZLX0KBJZVLRhVy2/t/H1EEgl:YH/Y3Ej/nV3NqDqUHaw9xa2bKxdTZLXo |
TLSH | T17862B7D19D85B939F67AF3FF426B03595DCDC3221388805FA620723A2DD75820E7D2A6 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/aesara/__pycache__/version.cpython-36.pyc |
FileSize | 527 |
MD5 | 9726DEA1541049B1E7E0AFAC0F0697D0 |
SHA-1 | 003519E0B5609171DC5A7B3E6ECBAD845BCE1A10 |
SHA-256 | 03146ADF46DE50BA6987ACB729B795666E16991E2730CA9543A2187F54006EF3 |
SSDEEP | 12:dcG74BK3cirfevODa8jKhCAb9E16A0/72+oq9lJyYi8Ih2+G:aU3cir3a8jKhCAb9A6z/Uqpt+2d |
TLSH | T139F00E5A5114E133E39C9EF4A01C222683F42DF88B1DCD39E725ABDA3F020E90E15889 |
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/python3.6/site-packages/aesara/tensor/__pycache__/fft.cpython-36.pyc |
FileSize | 6859 |
MD5 | F11EC358BF5982B383A9F28926873F4D |
SHA-1 | 01B30F29EF6D118994C8EF04D4E77870A82741F9 |
SHA-256 | 2FB004FE398F49F77AA714ACC93CF61062428E1BF827611393AAB4CD2E37FA5F |
SSDEEP | 192:+5Ro7t1bilYGQ3RGRVXdUpPJmKONRJD+CJp6:+T8t1bEQ3RGRld+J2J9Jp6 |
TLSH | T1D4E19185BD405E27FDF0F6BCDAC7044A97248257FB8450E7720D502A2FDAA841AB8B8C |
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/python3.9/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/python3.6/site-packages/aesara/link/c/__pycache__/exceptions.cpython-36.pyc |
FileSize | 412 |
MD5 | 4996AC31698639424E5C8A80FDB3A8A7 |
SHA-1 | 02B3B611B109D83E8461D1C2DC3CC721AE913B0E |
SHA-256 | D4AA251182F8FD05C2F172B4B46FB01C75D2ED99A74322B813A66F343B0620E3 |
SSDEEP | 6:fIxcGrhyl/Me1/Vw/IWMLQ/42bbVXiSiARSzGqc/iLIKP66GSqRB029YlMruEw2S:fIWEh2/Me9UrME5VXioRIG/uCRPyR2IB |
TLSH | T124E06880E74483A3F456EBBA901B062049A2E8BA6202923A6B0C69273D0F291C932CC0 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/aesara/gpuarray/__pycache__/fp16_help.cpython-36.pyc |
FileSize | 908 |
MD5 | 976B4E724F69F9306E3F43E5076BD147 |
SHA-1 | 0353D68747E069B9D4C5631EEE9DDF33507A40F7 |
SHA-256 | 931FD3577C6EDC2698AC0D5E06CE4A4E1ECAB25E90B67EEFDAA35F59117DEAC2 |
SSDEEP | 24:hio/4WegZtJ6GkNT14cISAJGpMTEelA1PcISbvY5M9Wr5:ooegtJ6zxASiKdSS |
TLSH | T1F611AF845A50785FF728FAF1E641813CA2B0EE77471A6601B70CC29A5F54BC98820E4C |
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/aesara/scan/op.py |
FileSize | 133253 |
MD5 | 6B596DB4B63D84F5E071FFA448A38EAE |
SHA-1 | 046ABB7FF0FF663F58E6B2D054FDBF1CFBF42E14 |
SHA-256 | 895BF41CBC85FD89FA71DF4A59F1F406F656E2B0831EA2FDFE2CCA6C841B4948 |
SSDEEP | 3072:KK2cqiNj7R8BNhdum4hlyg8G9mjeDLtMhclt0w8W:KK2cqiNj7R8BNhdum1g8G9mjeDLtMhcR |
TLSH | T151D3746125256C3BD18356E92DCBB48B13BA54271148AC3834BC856D5F36B2263BEFFC |