Buckets:
| # Kernels CLI Reference | |
| The `kernels` CLI provides commands for managing compute kernels. | |
| ## Commands | |
| | Command | Description | | |
| | ------------------------------------------------------- | -------------------------------------------------------- | | |
| | [benchmark](cli-benchmark) | Run benchmark results for a kernel | | |
| | [check](cli-check) | Check a kernel for compliance | | |
| | [versions](cli-versions) | Show kernel versions | | |
| | [lock](cli-lock) | Lock kernel revisions | | |
| ## Quick Start | |
| For building and writing kernels, please refer [building kernels](./builder/build) and | |
| [writing kernels](./builder/writing-kernels). | |
| ### Use kernels in your project | |
| #### Directly from the Hub | |
| ```python | |
| import torch | |
| from kernels import get_kernel | |
| # Download optimized kernels from the Hugging Face hub | |
| my_kernel = get_kernel("my-username/my-kernel", version=1) | |
| # Random tensor | |
| x = torch.randn((10, 10), dtype=torch.float16, device="cuda") | |
| # Run the kernel | |
| y = torch.empty_like(x) | |
| my_kernel.my_kernel_function(y, x) | |
| print(y) | |
| ``` | |
| or | |
| #### Locked and downloaded | |
| Add to `pyproject.toml`: | |
| ```toml | |
| [tool.kernels.dependencies] | |
| "my-username/my-kernel" = "1" | |
| ``` | |
| Then lock and download: | |
| ```bash | |
| kernels lock . | |
| kernels download . | |
| ``` | |
| ### See help | |
| ```bash | |
| kernels --help | |
| ``` | |
Xet Storage Details
- Size:
- 1.6 kB
- Xet hash:
- f22d30998f47702b6d7e785176d93082bc6acdbd3b654355a3248fc8580b985f
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.