Files
tinygrad/docs/runtime.md
Ahmed Harmouche 133cacadde Autogen webgpu dawn, removing wgpu-py dependency (f16 support part 1) (#8646)
* Switch to dawn, all tests passing locally

* Use dawn-python

* Skip failing test

* Skip midcast and fix timestamp on metal ci

* Autogen webgpu

* Try fetch dawn lib again

* /usr/lib

* Without lib prefix

* Test autogen diff

* Delete webgpu support, move everything to ops_webgpu

* mypy fix

* Simplify, refactor

* Line savings

* No ResultContainer

* Type annotation for result

* Some more simplifications

* Why was this explicit sync used at all?

* Refactor: delete functions that are only used once

* Create shader module inline

* Clear unit tests cache, maybe that solves it

* That wasn't it

* Try deleting cache to pass failing weight compare

* weights_only=False for pytorch 2.6

* Simplify ctype array creation

* Remove nanosecond precision timestamps

* Simplify error handling

* Refactor, add back type annotations

* Deleted custom submit function, refactor

* read_buffer simplify

* Fix use after free, refactor

* Simplify supported_features

* Runtime docs

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Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
2025-02-07 15:16:59 +08:00

2.0 KiB

Runtimes

tinygrad supports various runtimes, enabling your code to scale across a wide range of devices. The default runtime can be automatically selected based on the available hardware, or you can force a specific runtime to be default using environment variables (e.g., CLANG=1).

Runtime Description Requirements
NV Provides acceleration for NVIDIA GPUs Ampere/Ada series GPUs
AMD Provides acceleration for AMD GPUs RDNA2/RDNA3 series GPUs
QCOM Provides acceleration for QCOM GPUs 6xx series GPUs
METAL Utilizes Metal for acceleration on Apple devices M1+ Macs; Metal 3.0+ for bfloat support
CUDA Utilizes CUDA for acceleration on NVIDIA GPUs NVIDIA GPU with CUDA support
GPU (OpenCL) Accelerates computations using OpenCL on GPUs OpenCL 2.0 compatible device
CLANG (C Code) Runs on CPU using the clang compiler clang compiler in system PATH
LLVM (LLVM IR) Runs on CPU using the LLVM compiler infrastructure llvm libraries installed and findable
WEBGPU Runs on GPU using the Dawn WebGPU engine (used in Google Chrome) Dawn library installed and findable. Download binaries here.