Skip to main content

TorchScript bindings for metatensor

Project description

This package contains the TorchScript bindings to the core API of metatensor.

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

metatensor_torch-0.10.2.tar.gz (110.7 kB view details)

Uploaded Source

Built Distributions

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

metatensor_torch-0.10.2-py3-none-win_amd64.whl (3.7 MB view details)

Uploaded Python 3Windows x86-64

metatensor_torch-0.10.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (5.5 MB view details)

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

metatensor_torch-0.10.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (5.2 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

metatensor_torch-0.10.2-py3-none-macosx_11_0_arm64.whl (5.5 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

File details

Details for the file metatensor_torch-0.10.2.tar.gz.

File metadata

  • Download URL: metatensor_torch-0.10.2.tar.gz
  • Upload date:
  • Size: 110.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for metatensor_torch-0.10.2.tar.gz
Algorithm Hash digest
SHA256 266a6cb685d5d106653b1db31321d40eb5c6b58973d3cd15d604ff572b8edf70
MD5 52ce26ee09095a56d0dacb0d5449180f
BLAKE2b-256 3294778f41e9932ef290d7ce058d48f9c50fd5e46e9601010a62bd6546d5d614

See more details on using hashes here.

File details

Details for the file metatensor_torch-0.10.2-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for metatensor_torch-0.10.2-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 6b8349be9d01b935ee77382bffcfa16ba8f07ee79622d655b181005c77005ced
MD5 6f672aab4cf01d829e032edbcdcfb625
BLAKE2b-256 258b967636c0938d4f03c1d556cfa6f0dbec7096ac697c87745228be86f4b830

See more details on using hashes here.

File details

Details for the file metatensor_torch-0.10.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for metatensor_torch-0.10.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 dd7a3800ec7d44cffe6a4c61be5fdce344d9fbaba861c309eeeb789fc5101723
MD5 8dd9102cf8eb520ddd7120cd070f916a
BLAKE2b-256 77e7791a1214df544033c9538645cb26d9aed7fa717461e65b8de8a7dda65a28

See more details on using hashes here.

File details

Details for the file metatensor_torch-0.10.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for metatensor_torch-0.10.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 a7f79a89c114fbe302e467e5a55640c6d97c40aa547537d9b7569a884483d490
MD5 8407da97a68b7b4ea4dfa291d8905187
BLAKE2b-256 303ebdeb8c08ac11397bbbb022c3782ce9ecba6ba88c6633e7f3a71ed9ca42b9

See more details on using hashes here.

File details

Details for the file metatensor_torch-0.10.2-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for metatensor_torch-0.10.2-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a64206311a0538cf0bb6cca5a9e6bddb1c8c47d8851fe36ba6e047240ff5a301
MD5 88ecbe3b1f11e714ea83b45d13fa48a5
BLAKE2b-256 171ce3d324707a90144e75c5913f37c9cf28a4c000f6e3e31d5607a58faacace

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