Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/caffe2/quantization/server/__pycache__/fully_connected_fp16_test.cpython-36.pyc |
FileSize | 2542 |
MD5 | 7BC5A365411D06067C5FA5027ED0FCBB |
SHA-1 | 00CC32AACB20456B5FD7CEE9984214A99D3D8048 |
SHA-256 | 3EBD6A892DDDA7CA13B864C53F220E798330FC4C9FB122833C5855A781F518C8 |
SSDEEP | 48:K8Cd4ZpFWc3BDrrosBrVk1mr9GgXFqqXg:zHVMsBrmIZhXg |
TLSH | T15951C7CE9307AEEEFE69F5B4CD9C126156D84785074D30671A85D7B96F040EA04683EC |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 37B97A3984A376D21CFD7F80504B577F |
PackageArch | x86_64 |
PackageDescription | PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python3-torch |
PackageRelease | bp153.1.19 |
PackageVersion | 1.4.0 |
SHA-1 | 8037E19BBE7BBC7AEFB5F17EF3D7896B17120C7D |
SHA-256 | B983AC7B6F8D1022DD4F6D8F928BBCEB9D4F3764A549CBF45E90A13FAA48FE3C |
Key | Value |
---|---|
MD5 | A1560ECFF8C61F0D7F2D1E9F6C8DA1A5 |
PackageArch | x86_64 |
PackageDescription | PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python3-torch |
PackageRelease | lp152.3.2 |
PackageVersion | 1.4.0 |
SHA-1 | 7C6979C45458C50896D195546B58742DAA0D5A69 |
SHA-256 | 70211BB6981DA8E1FA455CEDB7046C839FB4DB23C40B7E8BFD6339A201C0F022 |
Key | Value |
---|---|
MD5 | 4C50A30448D3F8BBEE4EFA9177C613E2 |
PackageArch | x86_64 |
PackageDescription | PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python3-torch |
PackageRelease | bp155.2.12 |
PackageVersion | 1.4.0 |
SHA-1 | E7B4652B6A9ECFBD7169128F74D54753516F250C |
SHA-256 | 4DA3ED90E600D8B9F07971264647ED085BCDE487DF329D8700EFD492F7CBE3DE |
Key | Value |
---|---|
MD5 | EB34B20B85880F214E57EBC361F09690 |
PackageArch | x86_64 |
PackageDescription | PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python3-torch |
PackageRelease | bp154.1.28 |
PackageVersion | 1.4.0 |
SHA-1 | E4B02BA7888955031165FED55943C06FA041460A |
SHA-256 | FBDCD67DDA995085E9B8F225A79BF4684B47E59E1219CA2F756F844D80998577 |