Skip to main content

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations (ROCm Build)

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

torch_sparse_rocm-0.6.18.post4-cp314-cp314-manylinux_2_32_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.32+ x86-64

torch_sparse_rocm-0.6.18.post4-cp313-cp313-manylinux_2_32_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.32+ x86-64

torch_sparse_rocm-0.6.18.post4-cp312-cp312-manylinux_2_32_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.32+ x86-64

torch_sparse_rocm-0.6.18.post4-cp311-cp311-manylinux_2_32_x86_64.whl (4.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.32+ x86-64

torch_sparse_rocm-0.6.18.post4-cp310-cp310-manylinux_2_32_x86_64.whl (4.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.32+ x86-64

File details

Details for the file torch_sparse_rocm-0.6.18.post4-cp314-cp314-manylinux_2_32_x86_64.whl.

File metadata

File hashes

Hashes for torch_sparse_rocm-0.6.18.post4-cp314-cp314-manylinux_2_32_x86_64.whl
Algorithm Hash digest
SHA256 dcde33797881f64951da1dba58b9639c0bdb91ef313d6f63194d429612868303
MD5 20a6fce156ee28253ece238fcdf166de
BLAKE2b-256 5fec65ef339472a8b35ba5fb3d1245d3c7ef5b2aba7325a3aed822242cb082dc

See more details on using hashes here.

File details

Details for the file torch_sparse_rocm-0.6.18.post4-cp313-cp313-manylinux_2_32_x86_64.whl.

File metadata

File hashes

Hashes for torch_sparse_rocm-0.6.18.post4-cp313-cp313-manylinux_2_32_x86_64.whl
Algorithm Hash digest
SHA256 9de7edbe160aae040a99df5c41d6620490c4f7ce3b6faa8e9ac05d97bb5ba1fa
MD5 4d5ee0e780810a4001c36527d8346dfa
BLAKE2b-256 d33d742b22126c3584a4ddf177fc324569b55c71226b07ca5db42b364f9290bc

See more details on using hashes here.

File details

Details for the file torch_sparse_rocm-0.6.18.post4-cp312-cp312-manylinux_2_32_x86_64.whl.

File metadata

File hashes

Hashes for torch_sparse_rocm-0.6.18.post4-cp312-cp312-manylinux_2_32_x86_64.whl
Algorithm Hash digest
SHA256 34c4dbf80dd99c47b8cd5f677bbb79841e6b599de1e7c7f08314289b765ebaee
MD5 b7313a1eb7abf3e6de0ea2ae5e3384f7
BLAKE2b-256 2e455824ea7cfb232237b957cbf159a6a1a7051ea3a9fd2d53d2553c06d5ae02

See more details on using hashes here.

File details

Details for the file torch_sparse_rocm-0.6.18.post4-cp311-cp311-manylinux_2_32_x86_64.whl.

File metadata

File hashes

Hashes for torch_sparse_rocm-0.6.18.post4-cp311-cp311-manylinux_2_32_x86_64.whl
Algorithm Hash digest
SHA256 7e3b9a5680238a1637a5bb5fd599d076dbe5d10fdf18831637d9cdbd44a4e4dc
MD5 7c293b263b63e10bbebcd8b18e9553e1
BLAKE2b-256 d3db0bd7d1af7add1a5b257d8fd5ffed280785e410c4a1d9dedf371c7c30655b

See more details on using hashes here.

File details

Details for the file torch_sparse_rocm-0.6.18.post4-cp310-cp310-manylinux_2_32_x86_64.whl.

File metadata

File hashes

Hashes for torch_sparse_rocm-0.6.18.post4-cp310-cp310-manylinux_2_32_x86_64.whl
Algorithm Hash digest
SHA256 21c732d45353e0d8f629d04ac3880dcae12b0f79d3bbc70ebbf3608e4d006c3f
MD5 ca8700cfd80a98ccca418ba08eaecf44
BLAKE2b-256 1ac283e747b017c0b5e0b013bcfb7aeed07e8652dd2f38c8ae361b1cd4cb2e5a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page