Skip to main content

Auto Round Kernel binary package

Project description

Optimized Auto-Round kernels for Intel CPUs and GPUs.

The kernels are optimized for the following CPUs:

  • Intel Xeon Scalable processor (formerly Sapphire Rapids, and Emerald Rapids)
  • Intel Xeon 6 processors (formerly Sierra Forest and Granite Rapids)

The kernels are optimized for the following GPUs:

  • Intel Arc B-Series Graphics and Intel Arc Pro B-Series Graphics (formerly Battlemage)

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.

auto_round_kernel-0.9.1.1-cp313-cp313-win_amd64.whl (27.7 MB view details)

Uploaded CPython 3.13Windows x86-64

auto_round_kernel-0.9.1.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

auto_round_kernel-0.9.1.1-cp312-cp312-win_amd64.whl (27.7 MB view details)

Uploaded CPython 3.12Windows x86-64

auto_round_kernel-0.9.1.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

auto_round_kernel-0.9.1.1-cp311-cp311-win_amd64.whl (27.7 MB view details)

Uploaded CPython 3.11Windows x86-64

auto_round_kernel-0.9.1.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

auto_round_kernel-0.9.1.1-cp310-cp310-win_amd64.whl (27.7 MB view details)

Uploaded CPython 3.10Windows x86-64

auto_round_kernel-0.9.1.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

File details

Details for the file auto_round_kernel-0.9.1.1-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for auto_round_kernel-0.9.1.1-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 fd8334b01e4bc4f66e524463725d83bc988023146e4a537ef88511fbbadb32c1
MD5 2acbb0c62df77601425926aef6242219
BLAKE2b-256 fad3f5624df3bbaab1cd6e4ade57228ccf3494922fe7af865bce58a11391e67d

See more details on using hashes here.

File details

Details for the file auto_round_kernel-0.9.1.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for auto_round_kernel-0.9.1.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f25330086588594e9171dd81f96e442f88b37391a8eaeb9724d1cc30c7734737
MD5 a182b86d6dc2e7f63801a949ce89d2a1
BLAKE2b-256 6d3a30882509ff33cf85557e6b4ac48f0bf565082ff43fe64ac15a692525a551

See more details on using hashes here.

File details

Details for the file auto_round_kernel-0.9.1.1-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for auto_round_kernel-0.9.1.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 d50556064f18af2c54b70da61e75b4a05cf2d4511a033ec2bcf4b57be87fc8c5
MD5 c0b752e717ea20cce23cf1e9e9e5ff51
BLAKE2b-256 439ef00ae04b36145269bbc334b8b541499f2179d75ff1e84679fcbb1ec1392f

See more details on using hashes here.

File details

Details for the file auto_round_kernel-0.9.1.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for auto_round_kernel-0.9.1.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 67f47fd07ad8efa2b74f24023ec5ccc86f8150ae66be7a9349ffa755f92d16ff
MD5 91f1640564abd6e24ac87de82ed5285e
BLAKE2b-256 4011fffedac5a21aa82eeece1bd5faa993536a902b7fcea6d243efff729e61e1

See more details on using hashes here.

File details

Details for the file auto_round_kernel-0.9.1.1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for auto_round_kernel-0.9.1.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 4a15303960c8663edc0e2f2bba83aa32fc527adef33ff61ae2e705e37e50cafc
MD5 d0ca9bd99b5b5ef27631b2c7fa0bbb7d
BLAKE2b-256 4076aadacc36894e9c993edb96c0a220c12efadd3005d589dc1b30ddd7d8267c

See more details on using hashes here.

File details

Details for the file auto_round_kernel-0.9.1.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for auto_round_kernel-0.9.1.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 159502d93b83a616292fcab441e507d46c01e4ca645d09a13ce10240c5d9e444
MD5 4ce4d5272a22120b91300fef9dd84995
BLAKE2b-256 84e4cd801c936e01332cffe0eb7b33b19ca5ec3c7c6f8ae30a8c893171f4563f

See more details on using hashes here.

File details

Details for the file auto_round_kernel-0.9.1.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for auto_round_kernel-0.9.1.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 ff1fc5e4cb594b5c5af611790632b33a9ac12d2d2ef34d166e445860d761c384
MD5 eb8ff71769c25e889c4a5a07346c24c8
BLAKE2b-256 649e4c95c8f27ae088ff1adb71d42cb7a1b629d5d238cd7d42b495a32083b599

See more details on using hashes here.

File details

Details for the file auto_round_kernel-0.9.1.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for auto_round_kernel-0.9.1.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 20fd6bf4f3d2cdeecd712d37d1385429e9a4f4b3c6b3fade91dca9e50f5bcdb3
MD5 112e4167430bf7cdfd69a6a13fc52fe1
BLAKE2b-256 ab7529a405995fd03b3fe972dd208a11c4d9f94311ee9e0a5b1ed09c5c1ba962

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