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Project description

xgpu

xgpu is a Python 3.7+ binding of webgpu-native which is auto-generated at build-time and tracks the upstream releases as closely as possible. It is currently in beta, and until it is more mature most users should probably use wgpu-py.

Install

Wheels are built for Mac (x86 only), Windows, and Linux for Python 3.7+:

pip install xgpu

Motivation

wgpu-py is a great project which also binds webgpu-native. The main difference is that xgpu adds type hints to nearly every value, and generates data structures at build time rather than at run time so an IDE can auto-complete. xgpu also has no abstractions to support different implementations of the WebGPU spec, and no support for anything not implemented in webgpu-native (i.e. the “canvas” mechanism in wgpu). Most users should use wgpu unless they have specific needs otherwise.

Codegen

The code generation was written in Typescript and runs in bun. Python users shouldn’t have to touch this.

Project details

These details have not been verified by PyPI

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Release history Release notifications | RSS feed

0.9.0

Apr 19, 2024

0.8.1

Mar 8, 2024

0.8.0

Mar 8, 2024

0.7.2

Mar 8, 2024

0.7.1

Feb 3, 2024

0.7.0

Feb 2, 2024

0.6.6

Jan 31, 2024

0.6.5

Jan 31, 2024

0.6.4

Jan 30, 2024

0.6.3

Jan 30, 2024

0.6.2

Jan 28, 2024

0.6.1

Jan 28, 2024

0.6.0

Jan 27, 2024

0.5.1

Jan 26, 2024

0.5.0

Jan 26, 2024

0.4.0

Jan 23, 2024

0.3.0

Jan 23, 2024

0.2.0

Jan 22, 2024

0.1.1

Jan 19, 2024

This version

0.1.0

Jan 17, 2024

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xgpu-0.1.0-pp310-pypy310_pp73-win_amd64.whl (2.7 MB view hashes)

Uploaded Jan 17, 2024 PyPy Windows x86-64

xgpu-0.1.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl (3.7 MB view hashes)

Uploaded Jan 17, 2024 PyPy manylinux: glibc 2.28+ x86-64

xgpu-0.1.0-pp310-pypy310_pp73-macosx_10_13_x86_64.whl (1.9 MB view hashes)

Uploaded Jan 17, 2024 PyPy macOS 10.13+ x86-64

xgpu-0.1.0-pp39-pypy39_pp73-win_amd64.whl (2.7 MB view hashes)

Uploaded Jan 17, 2024 PyPy Windows x86-64

xgpu-0.1.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl (3.7 MB view hashes)

Uploaded Jan 17, 2024 PyPy manylinux: glibc 2.28+ x86-64

xgpu-0.1.0-pp39-pypy39_pp73-macosx_10_13_x86_64.whl (1.9 MB view hashes)

Uploaded Jan 17, 2024 PyPy macOS 10.13+ x86-64

xgpu-0.1.0-pp38-pypy38_pp73-win_amd64.whl (2.7 MB view hashes)

Uploaded Jan 17, 2024 PyPy Windows x86-64

xgpu-0.1.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl (3.7 MB view hashes)

Uploaded Jan 17, 2024 PyPy manylinux: glibc 2.28+ x86-64

xgpu-0.1.0-pp38-pypy38_pp73-macosx_10_13_x86_64.whl (1.9 MB view hashes)

Uploaded Jan 17, 2024 PyPy macOS 10.13+ x86-64

xgpu-0.1.0-pp37-pypy37_pp73-win_amd64.whl (2.7 MB view hashes)

Uploaded Jan 17, 2024 PyPy Windows x86-64

xgpu-0.1.0-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl (3.7 MB view hashes)

Uploaded Jan 17, 2024 PyPy manylinux: glibc 2.28+ x86-64

xgpu-0.1.0-pp37-pypy37_pp73-macosx_10_13_x86_64.whl (1.9 MB view hashes)

Uploaded Jan 17, 2024 PyPy macOS 10.13+ x86-64

xgpu-0.1.0-cp312-cp312-win_amd64.whl (2.7 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.12 Windows x86-64

xgpu-0.1.0-cp312-cp312-manylinux_2_28_x86_64.whl (3.9 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.12 manylinux: glibc 2.28+ x86-64

xgpu-0.1.0-cp312-cp312-macosx_10_13_x86_64.whl (2.0 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.12 macOS 10.13+ x86-64

xgpu-0.1.0-cp311-cp311-win_amd64.whl (2.7 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.11 Windows x86-64

xgpu-0.1.0-cp311-cp311-manylinux_2_28_x86_64.whl (3.9 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.11 manylinux: glibc 2.28+ x86-64

xgpu-0.1.0-cp311-cp311-macosx_10_13_x86_64.whl (2.0 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.11 macOS 10.13+ x86-64

xgpu-0.1.0-cp310-cp310-win_amd64.whl (2.7 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.10 Windows x86-64

xgpu-0.1.0-cp310-cp310-manylinux_2_28_x86_64.whl (3.9 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.10 manylinux: glibc 2.28+ x86-64

xgpu-0.1.0-cp310-cp310-macosx_10_13_x86_64.whl (2.0 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.10 macOS 10.13+ x86-64

xgpu-0.1.0-cp39-cp39-win_amd64.whl (2.7 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.9 Windows x86-64

xgpu-0.1.0-cp39-cp39-manylinux_2_28_x86_64.whl (3.9 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.9 manylinux: glibc 2.28+ x86-64

xgpu-0.1.0-cp39-cp39-macosx_10_13_x86_64.whl (2.0 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.9 macOS 10.13+ x86-64

xgpu-0.1.0-cp38-cp38-win_amd64.whl (2.7 MB view hashes)

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Uploaded Jan 17, 2024 CPython 3.8 manylinux: glibc 2.28+ x86-64

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xgpu-0.1.0-cp37-cp37m-win_amd64.whl (2.7 MB view hashes)

Uploaded Jan 17, 2024 CPython 3.7m Windows x86-64

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Uploaded Jan 17, 2024 CPython 3.7m manylinux: glibc 2.28+ x86-64

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Hashes for xgpu-0.1.0-pp310-pypy310_pp73-macosx_10_13_x86_64.whl
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Hashes for xgpu-0.1.0-pp39-pypy39_pp73-win_amd64.whl
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Hashes for xgpu-0.1.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl
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Hashes for xgpu-0.1.0-pp39-pypy39_pp73-macosx_10_13_x86_64.whl
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Hashes for xgpu-0.1.0-pp38-pypy38_pp73-win_amd64.whl
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Hashes for xgpu-0.1.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl
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Hashes for xgpu-0.1.0-pp38-pypy38_pp73-macosx_10_13_x86_64.whl
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Hashes for xgpu-0.1.0-pp37-pypy37_pp73-win_amd64.whl
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Hashes for xgpu-0.1.0-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl
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Hashes for xgpu-0.1.0-pp37-pypy37_pp73-macosx_10_13_x86_64.whl
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Hashes for xgpu-0.1.0-cp312-cp312-win_amd64.whl

Hashes for xgpu-0.1.0-cp312-cp312-win_amd64.whl
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Hashes for xgpu-0.1.0-cp312-cp312-manylinux_2_28_x86_64.whl
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Hashes for xgpu-0.1.0-cp311-cp311-macosx_10_13_x86_64.whl
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Hashes for xgpu-0.1.0-cp310-cp310-macosx_10_13_x86_64.whl
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Hashes for xgpu-0.1.0-cp39-cp39-win_amd64.whl
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Hashes for xgpu-0.1.0-cp38-cp38-manylinux_2_28_x86_64.whl
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Hashes for xgpu-0.1.0-cp37-cp37m-manylinux_2_28_x86_64.whl

Hashes for xgpu-0.1.0-cp37-cp37m-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`778041f5b961aa27ef5a76c1d0173663654cd430af63a5f4f0b0c8b9ad01ab33`
MD5	`55d8781b56d41f3f29ade01f59b372c6`
BLAKE2b-256	`f019c52df809ffa7acf02a3f52989cdff55962cecac6bf87b17e62e6f0b51f2b`

Hashes for xgpu-0.1.0-cp37-cp37m-macosx_10_13_x86_64.whl

Hashes for xgpu-0.1.0-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm	Hash digest
SHA256	`a8ace5b9613f566f9c6d0fdb419464fdba165284d65f9aa53d0a4c8bc03e870f`
MD5	`e3c48ef94ac952648749d8403d496a94`
BLAKE2b-256	`4d1ad9e93c9163e048c1f01f76a7ce8f8c1f2215ff551cd4965e45caba2f1051`