Result for 1A22637F4D4E5FA9585F0E34CF1CDA7EDB90DB54

Search result
Graph view
Parent (5)

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/opt_einsum/tests/__pycache__/test_backends.cpython-36.opt-1.pyc
FileSize16388
MD547094EE985516BDC7DDAA9F7B354673A
SHA-11A22637F4D4E5FA9585F0E34CF1CDA7EDB90DB54
SHA-25609B431949A95E6055C477A9E1E3840E46A54907DAE0D5F21E58EF157E6ECF39D
SSDEEP384:tanPggykrty8EUV3fcVwacjGd50gbT59s2OPlhqQuOle:tanPggykrtymV3Qwacyd5bb02OPlLuOM
TLSHT1A372749B26814D27F9F5F1F94749A327B725D22B77CBE257C009C09E1C415CA2CA83AD
hashlookup:parent-total5
hashlookup:trust75

Network graph view

Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD530382EA6D23E491CABFA137DCC614248
PackageArchnoarch
PackageDescriptionOptimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., `np.einsum`,`dask.array.einsum`,`pytorch.einsum`,`tensorflow.einsum`) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API. See the [**documentation**](http://optimized-einsum.readthedocs.io) for more information.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-opt-einsum
PackageReleasebp154.1.30
PackageVersion3.1.0
SHA-1F11107B7B8DDCF52997FD1E19E5CA3E5E283C2D8
SHA-256C2B0456597FCFF34FC69BF9AACE209201A6465C80827F18BBD324FBE13829E85
Key Value
MD5BA1F6565235687CFA53AB7FCC5B18C02
PackageArchnoarch
PackageDescriptionOptimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., `np.einsum`,`dask.array.einsum`,`pytorch.einsum`,`tensorflow.einsum`) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API. See the [**documentation**](http://optimized-einsum.readthedocs.io) for more information.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-opt-einsum
PackageReleaselp152.2.1
PackageVersion3.1.0
SHA-10B3AFAB25BD9C7EBE8CEB00A8FABE2D516523195
SHA-256402A809948F171ABC939D6790DAA8B8AFC9613A3E76DD3381F28DBBF57BE5008
Key Value
MD59F574855320F1F4A3D50C36BEE820112
PackageArchnoarch
PackageDescriptionOptimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., `np.einsum`,`dask.array.einsum`,`pytorch.einsum`,`tensorflow.einsum`) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API. See the [**documentation**](http://optimized-einsum.readthedocs.io) for more information.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-opt-einsum
PackageReleasebp155.2.12
PackageVersion3.1.0
SHA-17E0F1B26A59F60BE3965A196F4563E54D4D22429
SHA-2563BAFE13C483B8175BBB7717D24B3F64AA1AE10ED4F76BD4E8E6A9269B6D0F997
Key Value
MD50804850D86D99B08C7E8BDAC32DE8348
PackageArchnoarch
PackageDescriptionOptimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., `np.einsum`,`dask.array.einsum`,`pytorch.einsum`,`tensorflow.einsum`) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API. See the [**documentation**](http://optimized-einsum.readthedocs.io) for more information.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-opt-einsum
PackageReleasebp153.1.14
PackageVersion3.1.0
SHA-1BABEB90028D30A4E0512059C08D11C0D75E8FE1F
SHA-256A1F6D7B3EE6E36148C01338384A9BCA7DCB04E209813E3FC515E9173734C1EB4
Key Value
MD5AD770C20739AF27B97EAF5A2E21535E7
PackageArchnoarch
PackageDescriptionOptimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., `np.einsum`,`dask.array.einsum`,`pytorch.einsum`,`tensorflow.einsum`) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API. See the [**documentation**](http://optimized-einsum.readthedocs.io) for more information.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-opt-einsum
PackageReleasebp156.3.1
PackageVersion3.1.0
SHA-143ACB56E4B3F308B70E5183F3F3C2AA80BD8A580
SHA-256B634C108E1FE48D0B8D3EF0353476A80DB8CBC0DFA12F8F315B04B16FC8D6038





metalookup is a service from miwakeru.com