Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	D0D68673AAA7F0F8025CD2E26F524ED5
PackageArch	noarch
PackageDescription	Optimized 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.
PackageName	python3-opt-einsum
PackageRelease	3.2
PackageVersion	3.1.0
SHA-1	61717F590F6B4F708C57FDA189CE6EF59DDFBE4D
SHA-256	4BB8F400012C11C8AC6E3BAFDD3A680ED68A1AAF6D08CA4FF6FFB0FE12BCE512

Key	Value
MD5	30382EA6D23E491CABFA137DCC614248
PackageArch	noarch
PackageDescription	Optimized 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-opt-einsum
PackageRelease	bp154.1.30
PackageVersion	3.1.0
SHA-1	F11107B7B8DDCF52997FD1E19E5CA3E5E283C2D8
SHA-256	C2B0456597FCFF34FC69BF9AACE209201A6465C80827F18BBD324FBE13829E85

Key	Value
MD5	BA1F6565235687CFA53AB7FCC5B18C02
PackageArch	noarch
PackageDescription	Optimized 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-opt-einsum
PackageRelease	lp152.2.1
PackageVersion	3.1.0
SHA-1	0B3AFAB25BD9C7EBE8CEB00A8FABE2D516523195
SHA-256	402A809948F171ABC939D6790DAA8B8AFC9613A3E76DD3381F28DBBF57BE5008

Key	Value
MD5	9F574855320F1F4A3D50C36BEE820112
PackageArch	noarch
PackageDescription	Optimized 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-opt-einsum
PackageRelease	bp155.2.12
PackageVersion	3.1.0
SHA-1	7E0F1B26A59F60BE3965A196F4563E54D4D22429
SHA-256	3BAFE13C483B8175BBB7717D24B3F64AA1AE10ED4F76BD4E8E6A9269B6D0F997

Key	Value
MD5	0804850D86D99B08C7E8BDAC32DE8348
PackageArch	noarch
PackageDescription	Optimized 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-opt-einsum
PackageRelease	bp153.1.14
PackageVersion	3.1.0
SHA-1	BABEB90028D30A4E0512059C08D11C0D75E8FE1F
SHA-256	A1F6D7B3EE6E36148C01338384A9BCA7DCB04E209813E3FC515E9173734C1EB4

Key	Value
MD5	AD770C20739AF27B97EAF5A2E21535E7
PackageArch	noarch
PackageDescription	Optimized 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-opt-einsum
PackageRelease	bp156.3.1
PackageVersion	3.1.0
SHA-1	43ACB56E4B3F308B70E5183F3F3C2AA80BD8A580
SHA-256	B634C108E1FE48D0B8D3EF0353476A80DB8CBC0DFA12F8F315B04B16FC8D6038