pytorch-triton-rocm

A language and compiler for custom Deep Learning operations

These details have not been verified by PyPI

Project links

Homepage

Development Status
- 4 - Beta
Intended Audience
- Developers
License
- OSI Approved :: MIT License
Programming Language
- Python :: 3.6
Topic
- Software Development :: Build Tools

Project description

The author of this package has not provided a project description

Project details

These details have not been verified by PyPI

Project links

Homepage

Development Status
- 4 - Beta
Intended Audience
- Developers
License
- OSI Approved :: MIT License
Programming Language
- Python :: 3.6
Topic
- Software Development :: Build Tools

Release history Release notifications | RSS feed

2.1.0

Apr 19, 2023

2.1.0.dev20230402 pre-release

Apr 18, 2023

2.0.2

Apr 19, 2023

2.0.2.dev20230402 pre-release

Apr 18, 2023

2.0.2.dev20230401 pre-release

Apr 16, 2023

2.0.1

Mar 14, 2023

2.0.0

Mar 1, 2023

2.0.0.dev20230308 pre-release

Mar 14, 2023

2.0.0.dev20230307 pre-release

Mar 14, 2023

2.0.0.dev20230228 pre-release

Feb 28, 2023

2.0.0.dev20230227 pre-release

Feb 27, 2023

2.0.0.dev20230218 pre-release

Feb 19, 2023

2.0.0.dev20230211 pre-release

Feb 14, 2023

This version

2.0.0.dev20230210 pre-release

Feb 10, 2023

2.0.0.dev20230209 pre-release

Feb 10, 2023

0.0.2

Mar 1, 2023

0.0.1

Jan 31, 2023

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

pytorch_triton_rocm-2.0.0.dev20230210-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (59.0 MB view hashes)

Uploaded Feb 10, 2023 PyPy manylinux: glibc 2.17+ x86-64

pytorch_triton_rocm-2.0.0.dev20230210-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (58.9 MB view hashes)

Uploaded Feb 10, 2023 PyPy manylinux: glibc 2.17+ x86-64

pytorch_triton_rocm-2.0.0.dev20230210-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (58.9 MB view hashes)

Uploaded Feb 10, 2023 PyPy manylinux: glibc 2.17+ x86-64

pytorch_triton_rocm-2.0.0.dev20230210-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (59.1 MB view hashes)

Uploaded Feb 10, 2023 CPython 3.11 manylinux: glibc 2.17+ x86-64

pytorch_triton_rocm-2.0.0.dev20230210-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (59.1 MB view hashes)

Uploaded Feb 10, 2023 CPython 3.10 manylinux: glibc 2.17+ x86-64

pytorch_triton_rocm-2.0.0.dev20230210-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (59.1 MB view hashes)

Uploaded Feb 10, 2023 CPython 3.9 manylinux: glibc 2.17+ x86-64

pytorch_triton_rocm-2.0.0.dev20230210-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (59.0 MB view hashes)

Uploaded Feb 10, 2023 CPython 3.8 manylinux: glibc 2.17+ x86-64

pytorch_triton_rocm-2.0.0.dev20230210-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (58.9 MB view hashes)

Uploaded Feb 10, 2023 CPython 3.7m manylinux: glibc 2.17+ x86-64

pytorch_triton_rocm-2.0.0.dev20230210-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (58.9 MB view hashes)

Uploaded Feb 10, 2023 CPython 3.6m manylinux: glibc 2.17+ x86-64

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`63f2a25e280f938150ac2e1baacbbcd1774359d8a65b2fdad7366f15258a8be0`
MD5	`f8de99dbcbeb7f8040ef643308a09a54`
BLAKE2b-256	`8a22adfc4fcfd047d8d0ff15ec5af04d8b06b095b1b7dc3e49ba46f3b947a48a`

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`daf423e75b7cfe2e096f0661323f7e64845f7eb7cd1c0380e74a23f8aad12433`
MD5	`21ce95b6d6b40aa452348136da2692ee`
BLAKE2b-256	`d85334a4e4f065b60f8fa17a40f1356fcb5836b3a12099a5a8f96d1435a952cd`

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`53a11d790efd6312dd65dd2125e3f38c3112e1d36c12699a02e18009b1de8682`
MD5	`5413ed98da8c43178e73dfa34645cbd6`
BLAKE2b-256	`c886d93cbd28416f615ca9c60c990c4123a5fc1d6bc161092ae50159f114834c`

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`bff681d0cd617fae0e9d22eaca4be1275752d07ee9eabcc3c716d27d82cf7821`
MD5	`d601fc154e208e5bd1535d782a562cba`
BLAKE2b-256	`a9e446160c7ede6bf8d4301522c54be83a1fc5db06525967251d23f736ae8edc`

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`2cb6ca338304da471e9f17e026005b3b8d2087308838f61c6b9b93353c27455b`
MD5	`733ed990526ff8aace71a70e3391c5c8`
BLAKE2b-256	`40211684cdd17527d1e0d42da3d5b157a8a00990620c859182bc60434198beae`

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`c34408df6d823cda556db32464c466db24d03cc7b8dec4f26a55af2612938dab`
MD5	`1f6d8119847120e0cbb55792501efab9`
BLAKE2b-256	`4229d6b57db7f90083a89d5737229872f1d48f05e8dafc18891a92e0f3b272d7`

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`55356092d6446eebaf7ef7324f33b9c2b1e6e534d0491ca3360abf7c0e4a85bd`
MD5	`b9b2c9d45e0cfe235ee9dd69246e201f`
BLAKE2b-256	`4daee8e9e3b7c99d20c457a693d824d41b30d6afab8c2a6382bf668f8d57963f`

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`ca92ff4c9c43be7ed45bf876e5b26f510999fbd1c35b2e2cd2ed6397dc9b6776`
MD5	`a39fdc663578d4b76072cf756744167a`
BLAKE2b-256	`7d63753c1cc0cb01e35f30538635141f9e277af717035d3f7218b0c39a0db053`

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pytorch_triton_rocm-2.0.0.dev20230210-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`d1f26cc22e1287dd15712b87947ab60160dce5452f025fbcd5dd40e9b3ca05c2`
MD5	`a9403dfcc6e45052ebe632a4abdd8edc`
BLAKE2b-256	`9a9b519db9a7cf3415d3653dfd1debe77feb815ed7c489771a86b4221062fc83`