Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.6/site-packages/caffe2/python/operator_test/image_input_op_test.py |
FileSize | 17347 |
MD5 | B8BFD052D3BF1D56FDE902427E07AE8C |
SHA-1 | 0228646A07D8095BD9C4E8BC9D813917BEB77222 |
SHA-256 | 7DA0ECA6A4028EF93F4E8B67DF3EB47E473DA40C9F744453563E28A69853FDFC |
SHA-512 | DD23159A4A25BD0276DBBC0498436896A98FB75E46F057106FFDF9D27B82BEC4EB39AB5EF19A38F314EB38E4D25BAD8DF8B2A441FDEAB3F9F1D6FE9255EDB531 |
SSDEEP | 384:Vej9oYl3ckbjXabEsXYN4EGYXQWilPOMOkOMO0Wz:Vexoas0iwil/Wz |
TLSH | T13272A459B912294E9683F8399ED3E045931865130A8119EAFFEC98012FFED1CE3F57E1 |
insert-timestamp | 1727020040.332734 |
mimetype | text/x-python |
source | snap:gDaKv7wrs3UaiRN2EcKCHNTK4ksIcCVX_2 |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 11 |
hashlookup:trust | 100 |
The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 6177668 |
MD5 | 52606A6AA131C842DDFFFEFC5E771473 |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-torch |
PackageSection | python |
PackageVersion | 1.7.1-7 |
SHA-1 | 60312121597B89EC066CFC7430835C63212E0062 |
SHA-256 | EAF09C57597D9737170D087E8111643095494579465C3C6DD2E823BF1B3033E3 |
Key | Value |
---|---|
SHA-1 | 72B1E3FEAFB4BA4DF57FE3423E16D5E104166EC5 |
snap-authority | canonical |
snap-filename | gDaKv7wrs3UaiRN2EcKCHNTK4ksIcCVX_2.snap |
snap-id | gDaKv7wrs3UaiRN2EcKCHNTK4ksIcCVX_2 |
snap-name | flutter-ocr |
snap-publisher-id | Xg8BKU96GalowEg3VQZkmRSFrxQG2zhI |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2020-10-26T03:52:32.445608Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/gDaKv7wrs3UaiRN2EcKCHNTK4ksIcCVX_2.snap |
Key | Value |
---|---|
FileName | http://archlinux.mirror.root.lu//pool//community//python-pytorch-opt-1.7.1-3-x86_64.pkg.tar.zst |
MD5 | F1580EAAE45621B278EC3E862EC8E0B9 |
SHA-1 | B1672486AF02759C36DB9A4D5B544FC81E39ED72 |
SHA-256 | FAF4761E75F9DD898E7841E4BFB3BFC719A14E100C584049449F03E95FD6367C |
SSDEEP | 1572864:qs/fiygSy6cr+oPPH4xqdahTq/wY2CFBdxN:D+6cr+GH4xmaQ/wY20BN |
TLSH | T137D733E5949F1905931FF1F93964BA9FB03FE62D420084BB3FA69840F71AD7D42B481A |
Key | Value |
---|---|
FileSize | 6158296 |
MD5 | A6E1336451C8BF9470AC3DA37472FEA8 |
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 | 1.7.1-7 |
SHA-1 | 5A72B1259D5189B69E856FD16D554A2F46253024 |
SHA-256 | 9A71E9F21F54F9DF072B497384731BCB29957C16323683DD75C783E8502DC922 |
Key | Value |
---|---|
FileSize | 5503552 |
MD5 | 35F704B577348808BC6D3984F1EC4ED8 |
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 | 1.7.1-7 |
SHA-1 | 5984577BA4A2966A6E901807433C1EFCC07B2605 |
SHA-256 | 7D66EDEEB0A0AFB43F6B9325EE0D31B25F0120DC16205FDB8DCAC8718B633539 |
Key | Value |
---|---|
FileName | http://archlinux.mirror.root.lu//pool//community//python-pytorch-1.7.1-3-x86_64.pkg.tar.zst |
MD5 | 9EB58CD005B160DA4876D3B3F8B3A40F |
SHA-1 | 149470158511DCFC40BD85290F57B171F6A9A466 |
SHA-256 | 477FF0F69907AE80D7598702683F28405EB8B7F6E1A6AE3D21EEE02E35A393E4 |
SSDEEP | 786432:x4eQeSrcjK9NFaUYiUyMJoScsNSQWYJzwv+YlSvklbr6m50BZk2x5coz8Z+ONQgx:ytmeQxJoScISD+YSvzy8m2x5pM+z+ |
TLSH | T1DED733B048B33179C776C56293DDBA1043B5CF28106120DBBDDBA44B3BED2B2679A5C9 |
Key | Value |
---|---|
FileName | http://archlinux.mirror.root.lu//pool//community//python-pytorch-cuda-1.7.1-3-x86_64.pkg.tar.zst |
MD5 | 8399EA1A92E2F62C65EE444021B8289D |
SHA-1 | A01B87D51796CCC30ACFD28CD90C7D2E0DC84647 |
SHA-256 | 5D843DAC6AE9F07C2DB564787A5E173E0E2063651547493A327AF380AE98EBAB |
SSDEEP | 6291456:UcCOy+oDUmH2ITs83KFhH2kujHhOmYNkbwjy1jQi2pKaNHS1eBPx/vB68nHNyU8w:UcCOyomi8aFhWozieIn2pKuy8ZK898w |
TLSH | T1CEE833E10AA2CC2FF033E478EBA650A55161C9F0CB21ABF497D27913DD7A3A11D61CE5 |
Key | Value |
---|---|
FileSize | 5837856 |
MD5 | 61DA7154C5E34436B09CC56316B7CA8A |
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 | 1.7.1-7 |
SHA-1 | 09C214992CE51BC2CB9D517141E377DAFB3796AF |
SHA-256 | E23CCCF0338D1F1202BFFC23ADB74EF5F9DB5CAED00FAAF45542D236DBBD5110 |
Key | Value |
---|---|
FileSize | 5425680 |
MD5 | 488C20688B59D11AF393159578EB0915 |
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 | 1.7.1-7 |
SHA-1 | 98BAA4F37583BE0A918EFD349285581F39B90634 |
SHA-256 | 96E063504D666586E16B2FDE55B37983E348A98EF69FE0E71A1ACB8AD8106E7B |
Key | Value |
---|---|
FileSize | 5234220 |
MD5 | 4AD2E9781EFBE96C7EAFA994930FB5A0 |
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 | 1.7.1-7 |
SHA-1 | EB5F41D085B273D0839C2C13FB53AA4BE5DF3FF8 |
SHA-256 | 0029FD6E29C19D3A92C4BE77789F059DC15C4D4613C2F9E28F29B5034349278B |
Key | Value |
---|---|
FileName | http://archlinux.mirror.root.lu//pool//community//python-pytorch-opt-cuda-1.7.1-3-x86_64.pkg.tar.zst |
MD5 | AAE6049ED02A53E9AD5AC0CC1A2465A7 |
SHA-1 | 85021903ACDD9B691E6E91D8674D4B5D6BA1F0A0 |
SHA-256 | 45688B8013C4280F68ED12C94429F27BCB048490D84803D06BB41658710DFED2 |
SSDEEP | 6291456:a6nINg3GRDln4v28ULHboEjGDpRUMjnJnB1naodImP0k6+EY3:y1Dln4v/wMEcpRTrrTumiY3 |
TLSH | T154E833D2E306DFFDD53DC7315BE26AACB18A8CE58A420F359B972134F96ABE84414443 |