Key | Value |
---|---|
FileSize | 5766624 |
MD5 | E2A2D4F5D8E681B6ED27E5142E69BEFA |
PackageDescription | Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface). |
PackageMaintainer | Debian Deep Learning Team <debian-ai@lists.debian.org> |
PackageName | python3-torch |
PackageSection | python |
PackageVersion | 1.8.1-2 |
SHA-1 | 4DD3F63613CF4EDA920B4DB8804AE9C3BE059E0D |
SHA-256 | E1E4A0B893EF727D5DD89BD52D8C56E9E3BCCE726ADCD25DE4E497A2FF0918AF |
hashlookup:children-total | 1330 |
hashlookup:trust | 50 |
The searched file hash includes 1330 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/caffe2/python/serialized_test/data/operator_test/rank_loss_operator_test.test_pair_wise_loss_batch.zip |
FileSize | 1225 |
MD5 | FFCEAC5E935D28C51BB7B5A8DB2837C3 |
SHA-1 | 003DDBB183EA5CBB4FAB705C53F1E90BEA2F9F8D |
SHA-256 | A2B3E13C9E4315D4C8B45D5AC38C9EE70447D9356CF45AC18711E69884C48A03 |
SSDEEP | 24:9X4oJvS1N+N1X1Irz9D+fQouFwa/lfiN1X1yzWcDHiRvXo6GhfPMxUrTwASZ:9X4oJq1S1XuX9+kwIm1XYtTY9yThq |
TLSH | T1472163B61B5C39B2E9C08271C2CCB95BC614E4410F543FBE2BA2F0116D6EACEBA70116 |
Key | Value |
---|---|
FileName | usr/lib/python3.9/site-packages/torch/package/exporter.py |
FileSize | 25538 |
MD5 | C87BA81A282E23643BF8CBD6FA1DD04F |
SHA-1 | 006895E5BC7833654DC4F28FF5184D5FC6C70783 |
SHA-256 | 45D58AB6B3D1D0B640D7FEDCBA0E971B5338CC0A99F5B7E36155505F1EC9A694 |
SHA-512 | 35FF1992401A9AA875B782DB51F372BBDBAD6F45A5F969ECBD40D812DE4C357D7B22196DECACDD5E1AD215CB33B0604AC917A57527B206D059A8FFF657369904 |
SSDEEP | 384:9SHiRRrWucpXegqMdvKfdj8d2+Ls+guHtTKsOYV4r2+Y48auB9HiRMZS:9SHiiZRdH2Q27YGr2+AauXiRn |
TLSH | T1A5B2B627D1A92332436BD499F94A8062DF9EF4EB52140074B9EC53E82F4293582F7DF9 |
insert-timestamp | 1640415084.5932693 |
mimetype | text/x-python |
source | snap:zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_10 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/caffe2/python/serialized_test/data/operator_test/mean_op_test.test_mean.zip |
FileSize | 1165 |
MD5 | ACC6F49E9433ACF0E95E5E4B4BAC3A90 |
SHA-1 | 00955F0AAEFBD2C25AD486D53AE497A39B3AFC8F |
SHA-256 | D651F9D8775BBC6A7FBF4D27D7CB1C8D55ED6B3B2C282777592ADB9072BE3C08 |
SSDEEP | 24:9/7pbWvhN1X1yzWcDOcouFwa/fN1X1yzWcD5noTe4NlqdYOWhWl:9/7pb81XYtyQwIl1XYtFaqdYOh |
TLSH | T14321AD79460E6A21CCC296B0C2DD74D9DA28A0410B903EBF3785F4A16C6E5CDED74719 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.10/site-packages/caffe2/python/layers/bucket_weighted.py |
FileSize | 2355 |
MD5 | 6B3984254BAD36FA7193BDAAB259AEB3 |
SHA-1 | 00A7275E930749E5F05DCFCD8B14B3FB5C1054B8 |
SHA-256 | C69279B37889F68BE0BCC538153C897AE2FA8CFB58EE832E06DC816BB7029C35 |
SHA-512 | 9A887CE06F922B24A447FFBE1025BCB28ECB0D39A8D6DC9388C062C914666E49323B91CB78B225A2EB34229B6DE845918CDF119C9656CA532605EF30C4086072 |
SSDEEP | 24:ju4OOTMLyAe5+pgcvcMoUriioMyX8ELzQyYHANsWKSOF34idHnDfj:KT9Ly0DvcC5BgNfKSy34idHn3 |
TLSH | T1F941BB24C15AD8F6D2B7C97B1C923243B71B1E130A48A5A4F9BD639C0F1920863A8DBD |
insert-timestamp | 1727033025.2755802 |
mimetype | text/x-python |
source | snap:mIfsuuQGdDlR7j5kz0nDW3k3UE7ae2ry_4 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/torch/utils/data/dataloader.py |
FileSize | 66898 |
MD5 | C33FB3C6EF0969223C09FAE47A4187CB |
SHA-1 | 0143B7C9EBA446A41A29E6B4A8733B4CEA3C111F |
SHA-256 | 29A69AD7A200A25BE399003C2B9348E0C1008BCC591F66B185B91D43D318B065 |
SSDEEP | 768:ltgxJcnYu9ZjrK8B4SH6O//MeUVr7jumTOiKXHDhPSRO:ox5srK+TX/it3TOiKXjlSI |
TLSH | T1E863C4A76218963D43A366B4055ED6931716A0AB53D4803D387DC21C3FCB4B4E2FAFE6 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.10/site-packages/caffe2/python/data_parallel_model_test.py |
FileSize | 56145 |
MD5 | 0F475B253107ADE28EFE94629D76B3DE |
SHA-1 | 0159AFFCE62E355C1C3503990B79E362E6DACB05 |
SHA-256 | 88304FC44C7C26254339BF4720CBEE7B44B4A2187073B26BCD818F4C1D92C581 |
SHA-512 | 069F950BA209FE1EA670196DDEC5F20DC29408D8085F4CDEBD94B5FCDF75A6BA6584C9F0177696735B4C86EAE323B7580EC00720DE9803CAA53CFCF7A2A60691 |
SSDEEP | 1536:ffMeBan7K9JbnmSub4adGwbL64jzJXXe80fWjBW8AOZOwc+gR5L3qRG+aIuzM:XMeBan7K9JbUb4adGwbLfjz0f6BW8AOD |
TLSH | T15143876248333C0563A7B4793FDFA602972BA5131D4825B172BC4B441F5DA32E2BAE7D |
insert-timestamp | 1727033024.1926925 |
mimetype | text/x-python |
source | snap:mIfsuuQGdDlR7j5kz0nDW3k3UE7ae2ry_4 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.10/site-packages/caffe2/python/checkpoint_test.py |
FileSize | 13405 |
MD5 | B96622E402F321E12594AF6D822AFD14 |
SHA-1 | 01904796BBFD6BCFE3013EC2382055D0A2217921 |
SHA-256 | C5BF0BEB5885FD4FB87E3ADC21F46B70670BC1CFBD732B6AE984EA3C20F46E1E |
SHA-512 | D44A5414DDDB63C5F85359DCDB0CF854F0434972987560B398BAF52FC27300E103ABDED2E9892F7CE047DBDBE284187BE55B25B6CFF8FC2FEE0EC495D6063EC1 |
SSDEEP | 96:IEwQB0bEqFoFju++1XKgSOfot7O1aB3BD2niXx58VUzLaphsfZ9EWWo+CXxOibgw:yeqFo4++QgeoC4iqg288QBvSLtyKy |
TLSH | T18F523F2B44072C36E357DC9E26DF11854A1B6C1756D8A438B6FCCB485F6AC3093F3AA9 |
insert-timestamp | 1727033024.4586759 |
mimetype | text/x-python |
source | snap:mIfsuuQGdDlR7j5kz0nDW3k3UE7ae2ry_4 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.10/site-packages/caffe2/python/operator_test/given_tensor_byte_string_to_uint8_fill_op_test.py |
FileSize | 1392 |
MD5 | 8B5D2AF86F6EE8C36ECF9FD7546A28E7 |
SHA-1 | 01910D83C197C4C8EAE5A207B6EF363D5D71AFDC |
SHA-256 | D04E740804EF6216CD374A5320FEBD1F957092CE49693F7E474FDAA20AE56295 |
SHA-512 | 344E7ACCFE1F7CE84BA87E62701AC15F68CB5B4D999767399FAFB247151EDA6EBABCE06C598B30774246A8012DD9915268EDBB1B2DCE4FB08AFC5CBF2230A513 |
SSDEEP | 24:iuXxrRyMpvUnGEZuMwk9ml7OsMyFn7dfgvtdpZuMwkNl7OsMyFn7xpVS:iQyMpvUnGYuMAOsjFn7dytdbuMFOsjF8 |
TLSH | T135212141506B0A218373D0BACD466C4BAA0D0E2B0E8534BB70FC999C4F25C98D2B6BB1 |
insert-timestamp | 1727033027.916443 |
mimetype | text/x-python |
source | snap:mIfsuuQGdDlR7j5kz0nDW3k3UE7ae2ry_4 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.10/site-packages/caffe2/python/rnn_cell.py |
FileSize | 68233 |
MD5 | 57E044D39912C09DADFA5FCCD28E498B |
SHA-1 | 01A5766618D705C895D970AD48BD1CE727ADFAAF |
SHA-256 | CC2C368CA8A53C345ED7DF77092E5E07BA5B4696FDA61435729A09069FF08581 |
SHA-512 | 3BE7487D3F760817F800081A2FF1430506F73C8816C21A554F619339A4EB784C871C46595ACF744997245A31C42465A0709EB585192D8792410A2ED2C53A9C83 |
SSDEEP | 768:6kxj5aZ+NaZ+gTbqAOgsi/HSEe4varXfbb:6y+FHqGaLfP |
TLSH | T13B6394562052A405828758EB5FAFA44B53AED8131F483814BEFC86581F0C75A63FCEFE |
insert-timestamp | 1727033024.5803761 |
mimetype | text/x-python |
source | snap:mIfsuuQGdDlR7j5kz0nDW3k3UE7ae2ry_4 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | usr/lib/python3.9/site-packages/caffe2/python/onnx/backend.py |
FileSize | 40699 |
MD5 | C6F692D9A93CC5B5205FAAF723022520 |
SHA-1 | 01F11E94A10CACCDD5CEC642BEA3B1EA29970853 |
SHA-256 | DA9310752934491BFD46E3234912B33D70B70015749FB8C5E0F5518B96CECA0C |
SHA-512 | 19F2859F6747E4ECF5F9121EC21861F2059CC9FEF0C0490EA1B0265E5AC903164F9A1F2369568C2C5B1C0298320F898C931AEAAF8E8ABB40537186450404CC1B |
SSDEEP | 768:mCl/rGXbFMhK1g5MyMDyto4K0F0mYLiwKdmYy8:mA/r2ehZ+D4K02FNKdFy8 |
TLSH | T18503E97A7862B8738747E3AE1DEF5059E72C9527064129F878ECC2143F40964A376ABC |
insert-timestamp | 1640415072.7995558 |
mimetype | text/x-python |
source | snap:zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_10 |
tar:gname | root |
tar:uname | root |