Skip to main content

TorchScript bindings to featomic

Project description

This package contains the TorchScript bindings to featomic.

Project details


Download files

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

Source Distribution

featomic_torch-0.7.3.tar.gz (41.2 kB view details)

Uploaded Source

Built Distributions

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

featomic_torch-0.7.3-py3-none-win_amd64.whl (1.7 MB view details)

Uploaded Python 3Windows x86-64

featomic_torch-0.7.3-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (2.2 MB view details)

Uploaded Python 3manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

featomic_torch-0.7.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (2.4 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

featomic_torch-0.7.3-py3-none-macosx_11_0_arm64.whl (2.2 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

File details

Details for the file featomic_torch-0.7.3.tar.gz.

File metadata

  • Download URL: featomic_torch-0.7.3.tar.gz
  • Upload date:
  • Size: 41.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for featomic_torch-0.7.3.tar.gz
Algorithm Hash digest
SHA256 10f20b8b21b725465ce1d2ed3c8cece167f69acbac12d2a158d0a35f9af119c1
MD5 2ec508bc59caf77eb7d35480c9f70f47
BLAKE2b-256 f1b0aff9041763f15941aa270f24a77d7d9e80081fab7ed33d50db29008c9bc5

See more details on using hashes here.

File details

Details for the file featomic_torch-0.7.3-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for featomic_torch-0.7.3-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 6e699657d67456654eb15c3b4f05d16fb8afeb1449f1cf9110b54c67dfbfc676
MD5 b31aa012284db2885d9856a637e81eff
BLAKE2b-256 417f28f6c627849714a76c42ef549ea56f0c62c76b2c5530e8d5b0cc3a78666f

See more details on using hashes here.

File details

Details for the file featomic_torch-0.7.3-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for featomic_torch-0.7.3-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 e8e73de222a397b899d86551adb1b4a002b216eef89942a2e91ffc0c0edf53d6
MD5 099cec94a5e612849ab3b6bb874fe9f4
BLAKE2b-256 ad77f1103bc7da4166600058ceb181fdda70a0bf78f35b71eef0fd92b7ffddca

See more details on using hashes here.

File details

Details for the file featomic_torch-0.7.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for featomic_torch-0.7.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b40b6ff78148e0fb68aec4f487595490ac1e381ab93f2f2a2b139f432ee5be71
MD5 d246d958abc6200f5f500243b984d9d9
BLAKE2b-256 81122184898871ebf459507b3a6dc75217f022c24fd844a727c2b43361239ac3

See more details on using hashes here.

File details

Details for the file featomic_torch-0.7.3-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for featomic_torch-0.7.3-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5d1745b0b86283b1db4fc812bb1385a16c15fe7df87bf2cf0574febb5ae7777f
MD5 066becd83d6ff1c13d97f06b23b47176
BLAKE2b-256 0bb0a28b6b3dbfeb418e5201b3b4ca3b3be838c61ea163ebe446012021d68a17

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