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

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

This version

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-0.2.2.20240410-cp311-cp311-manylinux_2_17_x86_64.whl (78.5 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

nm_magic_wand_nightly-0.2.2.20240410-cp310-cp310-manylinux_2_17_x86_64.whl (78.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

nm_magic_wand_nightly-0.2.2.20240410-cp39-cp39-manylinux_2_17_x86_64.whl (78.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

nm_magic_wand_nightly-0.2.2.20240410-cp38-cp38-manylinux_2_17_x86_64.whl (78.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

File details

Details for the file nm_magic_wand_nightly-0.2.2.20240410-cp311-cp311-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for nm_magic_wand_nightly-0.2.2.20240410-cp311-cp311-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 435a0d6f8fd809da74941146c5225465db3a0a43cbfc00e0a44c53423e5ce974
MD5 37b1739393f0ab6a14ba47fa88bb6c9c
BLAKE2b-256 d9bd7e7ad483cf9649f6fa2a211061c29796829eccb36947d133334502e9a556

See more details on using hashes here.

File details

Details for the file nm_magic_wand_nightly-0.2.2.20240410-cp310-cp310-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for nm_magic_wand_nightly-0.2.2.20240410-cp310-cp310-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 31ae30dec2ed7aa3f13400f2a54b5e7a63e3847e3747ff5185f9927930d54ed7
MD5 3463ae3e6ef519567d92bc29d5e32f2b
BLAKE2b-256 6ff2c112a11492ceec2e24d69bed0ea59d0b18b8f47e04df66a74e96817e360a

See more details on using hashes here.

File details

Details for the file nm_magic_wand_nightly-0.2.2.20240410-cp39-cp39-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for nm_magic_wand_nightly-0.2.2.20240410-cp39-cp39-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 1afb6dda6b3fcdb4a1581e4f01c6615bdde9c1f972e65c2e199cee55471343a3
MD5 5cdbd8910133e9d153305e25cd9ab8ce
BLAKE2b-256 7d5c4ee4ccc6ceeff5c424e68f6759d9b1644a36dfd311cd172fe85c23262a65

See more details on using hashes here.

File details

Details for the file nm_magic_wand_nightly-0.2.2.20240410-cp38-cp38-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for nm_magic_wand_nightly-0.2.2.20240410-cp38-cp38-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 34cb214c56e55db6b0b4dcff4ebed28f0434294f10a09ceaa3a11a17bceaa8a8
MD5 af63f068203e098c8fd19cd9925c9480
BLAKE2b-256 35c16d2284136d76e152a8f72a25172e33f0d4d3dd30cc96debaf1b38e4fd11e

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