Fast JL: Compute JL projection fast on a GPU (Binary Distribution)

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
Report project as malware

Project description

A C++/CUDA implementation of the Johnson–Lindenstrauss projection targeting Nvidia GPUs of compute capability above or eaul 7.0 (V100 and newer).

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta

Release history Release notifications | RSS feed

0.1.3.3

This version

0.1.3.2

0.1.3.1

0.1.3

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.

fast_jl_binary-0.1.3.2-cp313-cp313-manylinux1_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.13

fast_jl_binary-0.1.3.2-cp312-cp312-manylinux1_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.12

fast_jl_binary-0.1.3.2-cp311-cp311-manylinux1_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.11

fast_jl_binary-0.1.3.2-cp310-cp310-manylinux1_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.10

fast_jl_binary-0.1.3.2-cp39-cp39-manylinux1_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.9

File details

Details for the file fast_jl_binary-0.1.3.2-cp313-cp313-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for fast_jl_binary-0.1.3.2-cp313-cp313-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b363cd5b56126a91cd6092772712e5ac3038a6c02c8a4bf1d0b48a0b1cea0aa3
MD5 21508ea85504419241511c3ace91c341
BLAKE2b-256 8642401a2c83bb4e040111bfb3bcbc175cd6f1ff1db144a70ae0f775bc67e189

See more details on using hashes here.

Provenance

The following attestation bundles were made for fast_jl_binary-0.1.3.2-cp313-cp313-manylinux1_x86_64.whl:

Publisher: workflow.yml on dwahdany/fast-jl-binary

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file fast_jl_binary-0.1.3.2-cp312-cp312-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for fast_jl_binary-0.1.3.2-cp312-cp312-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9d93f41431832a16b36fcd7759e591a1529346a81705639b428dbd5ab8beea4f
MD5 17eeabad38522f9521e5c30b1b3e52c6
BLAKE2b-256 c5e6b8852a1e03a97448e59f7debc76a90a47b0a9962a5dc6405e217ad9a0838

See more details on using hashes here.

Provenance

The following attestation bundles were made for fast_jl_binary-0.1.3.2-cp312-cp312-manylinux1_x86_64.whl:

Publisher: workflow.yml on dwahdany/fast-jl-binary

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file fast_jl_binary-0.1.3.2-cp311-cp311-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for fast_jl_binary-0.1.3.2-cp311-cp311-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ca206dda944c2d34878429cad4c7339a60fe5edc2a79a77071daa5e99fbbc09c
MD5 e6ca472125d4b8f7003b8ff36026a767
BLAKE2b-256 f946b482d6144e47bca5bba11721a13e580e701531c01fe5496f22c8fd173972

See more details on using hashes here.

Provenance

The following attestation bundles were made for fast_jl_binary-0.1.3.2-cp311-cp311-manylinux1_x86_64.whl:

Publisher: workflow.yml on dwahdany/fast-jl-binary

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file fast_jl_binary-0.1.3.2-cp310-cp310-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for fast_jl_binary-0.1.3.2-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a7b53eac8dd148e7572cf34cd1746e0da61f8b3ee10096a5cbfc6c4917b7c4ce
MD5 b2913dffb4fe9c7fb5be135b608ccac2
BLAKE2b-256 66b885f19f06953e0ab2d07b408fe8db73e868a06970009303efec12f2aff500

See more details on using hashes here.

Provenance

The following attestation bundles were made for fast_jl_binary-0.1.3.2-cp310-cp310-manylinux1_x86_64.whl:

Publisher: workflow.yml on dwahdany/fast-jl-binary

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file fast_jl_binary-0.1.3.2-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for fast_jl_binary-0.1.3.2-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2e36811aba5874e513402b5dc4a4d31a52b5d0953a957e1cc3ab27b3bef8de05
MD5 7ca611f70acb578e260127316ca5585b
BLAKE2b-256 4a19d037813b5b68f76e9d125619664edc888f4cc6f09d4eeae3911723419429

See more details on using hashes here.

Provenance

The following attestation bundles were made for fast_jl_binary-0.1.3.2-cp39-cp39-manylinux1_x86_64.whl:

Publisher: workflow.yml on dwahdany/fast-jl-binary

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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