SparseLinear layers

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for neuralmagic from gravatar.com neuralmagic

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Neural Magic Community License
  • Author: Neural Magic
  • Tags gpu , sparsity , compression
Classifiers
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for neuralmagic from gravatar.com neuralmagic

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Neural Magic Community License
  • Author: Neural Magic
  • Tags gpu , sparsity , compression
Classifiers

Release history Release notifications | RSS feed

0.2.2.20240516

0.2.2.20240507

0.2.2.20240506

This version

0.2.2.20240505

0.2.2.20240504

0.2.2.20240503

0.2.2.20240502

0.2.2.20240501

0.2.2.20240430

0.2.2.20240429

0.2.2.20240426

0.2.2.20240425

0.2.2.20240424

0.2.2.20240423

0.2.2.20240422

0.2.2.20240421

0.2.2.20240420

0.2.2.20240419

0.2.2.20240418

0.2.2.20240417

0.2.2.20240416

0.2.2.20240415

0.2.2.20240414

0.2.2.20240413

0.2.2.20240412

0.2.2.20240411

0.2.2.20240410

0.2.2.20240409

0.2.0.20240409

0.2.0.20240405

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.

nm_magic_wand_nightly-0.2.2.20240505-cp311-cp311-manylinux_2_17_x86_64.whl (77.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

nm_magic_wand_nightly-0.2.2.20240505-cp310-cp310-manylinux_2_17_x86_64.whl (77.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

nm_magic_wand_nightly-0.2.2.20240505-cp39-cp39-manylinux_2_17_x86_64.whl (76.9 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

nm_magic_wand_nightly-0.2.2.20240505-cp38-cp38-manylinux_2_17_x86_64.whl (77.0 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

File details

Details for the file nm_magic_wand_nightly-0.2.2.20240505-cp311-cp311-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for nm_magic_wand_nightly-0.2.2.20240505-cp311-cp311-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 91703023a4a9e58bcf4e05ca3786c74c72092f5bf037ba4539eae3430d569624
MD5 54ae1467af440bf5f91caa8be4c0224c
BLAKE2b-256 8b8579a42c4db23d97472561e4c34e491a2909d3472ad7883edfd47c943ec486

See more details on using hashes here.

File details

Details for the file nm_magic_wand_nightly-0.2.2.20240505-cp310-cp310-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for nm_magic_wand_nightly-0.2.2.20240505-cp310-cp310-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 4e26a4a20a200cd6f8cc534cd40cbcd48b16715916c33de88f8432295b404446
MD5 669eb331bd8604976b8cd28214ca998e
BLAKE2b-256 eb1226c84cd540629c8fe2ca102d41afa52cbba4b4688949d3696fd12cd8a026

See more details on using hashes here.

File details

Details for the file nm_magic_wand_nightly-0.2.2.20240505-cp39-cp39-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for nm_magic_wand_nightly-0.2.2.20240505-cp39-cp39-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 d42d2f642f3d64c66a5d162fd3676f112b9827a36cd9bfd202108a0da6b1c3a0
MD5 23b2a269ef4397f181419eced986ccb5
BLAKE2b-256 21c7c954377f018f1f77e77e9e213c572bd0e237573afe0e2db030e7f112e6b4

See more details on using hashes here.

File details

Details for the file nm_magic_wand_nightly-0.2.2.20240505-cp38-cp38-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for nm_magic_wand_nightly-0.2.2.20240505-cp38-cp38-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 ecb253570346b456ba30962e877dd9c3c0327f0f80646894159bfc5b681c7795
MD5 2d620048f5ad071bdcb1290a59a4f683
BLAKE2b-256 cfdc2db3a62154aa3cdf09e438e5b32b0918091a483bdc08e7186a9b12bd405c

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