Remove to-wheel subcommand

.github/workflows/test.yml

@@ -66,19 +66,6 @@ jobs:
           HUGGINGFACE_CO_STAGING=true uv run pytest --token -m "is_staging_test" tests/
         if: matrix.python_version == '3.10' && matrix.torch-version == '2.7.0'
 
-      - name: Check kernel conversion
-        run: |
-          uv pip install wheel
-          uv run kernels to-wheel kernels-community/triton-layer-norm 0.0.1
-          uv pip install triton_layer_norm-0.0.1*.whl
-          uv run python -c "import triton_layer_norm"
-
-      - name: Check kernel conversion (flat build)
-        run: |
-          uv run kernels to-wheel kernels-test/flattened-build 0.0.1
-          uv pip install flattened_build-0.0.1*.whl
-          uv run python -c "import flattened_build"
-
       - name: Check README generation
         # For now, just checks that generation doesn't fail.
         run: |

docs/source/cli.md

@@ -20,31 +20,6 @@ Checking variant: torch28-cxx11-cu128-aarch64-linux
 [...]
 ```
 
-### kernels to-wheel
-
-We strongly recommend downloading kernels from the Hub using the `kernels`
-package, since this comes with large [benefits](index.md) over using Python
-wheels. That said, some projects may require deployment of kernels as
-wheels. The `kernels` utility provides a simple solution to this. You can
-convert any Hub kernel into a set of wheels with the `to-wheel` command:
-
-```bash
-$ kernels to-wheel drbh/img2grey 1.1.2
-☸ img2grey-1.1.2+torch27cu128cxx11-cp39-abi3-manylinux_2_28_x86_64.whl
-☸ img2grey-1.1.2+torch26cu124cxx11-cp39-abi3-manylinux_2_28_x86_64.whl
-☸ img2grey-1.1.2+torch26cu126cxx11-cp39-abi3-manylinux_2_28_x86_64.whl
-☸ img2grey-1.1.2+torch27cu126cxx11-cp39-abi3-manylinux_2_28_x86_64.whl
-☸ img2grey-1.1.2+torch26cu126cxx98-cp39-abi3-manylinux_2_28_x86_64.whl
-☸ img2grey-1.1.2+torch27cu128cxx11-cp39-abi3-manylinux_2_28_aarch64.whl
-☸ img2grey-1.1.2+torch26cu126cxx98-cp39-abi3-manylinux_2_28_aarch64.whl
-☸ img2grey-1.1.2+torch27cu126cxx11-cp39-abi3-manylinux_2_28_aarch64.whl
-☸ img2grey-1.1.2+torch26cu126cxx11-cp39-abi3-manylinux_2_28_aarch64.whl
-☸ img2grey-1.1.2+torch26cu118cxx98-cp39-abi3-manylinux_2_28_x86_64.whl
-☸ img2grey-1.1.2+torch26cu124cxx98-cp39-abi3-manylinux_2_28_x86_64.whl
-☸ img2grey-1.1.2+torch26cu118cxx11-cp39-abi3-manylinux_2_28_x86_64.whl
-☸ img2grey-1.1.2+torch27cu118cxx11-cp39-abi3-manylinux_2_28_x86_64.whl
-```
-
 ### kernels upload
 
 Use `kernels upload <dir_containing_build> --repo_id="hub-username/kernel"` to upload

src/kernels/cli.py

@@ -12,7 +12,6 @@
 from kernels.utils import install_kernel, install_kernel_all_variants
 
 from .doc import generate_readme_for_kernel
-from .wheel import build_variant_to_wheel
 
 BUILD_VARIANT_REGEX = re.compile(r"^(torch\d+\d+|torch-universal)")
 
@@ -92,25 +91,6 @@ def main():
     )
     lock_parser.set_defaults(func=lock_kernels)
 
-    to_wheel_parser = subparsers.add_parser(
-        "to-wheel", help="Convert a kernel to a wheel file"
-    )
-    to_wheel_parser.add_argument("repo_id", type=str, help="The kernel repo ID")
-    to_wheel_parser.add_argument("version", type=str, help="The kernel version")
-    to_wheel_parser.add_argument(
-        "--python-version",
-        type=str,
-        default="3.9",
-        help="The minimum Python version. Must match the Python version that the kernel was compiled for.",
-    )
-    to_wheel_parser.add_argument(
-        "--manylinux-version",
-        type=str,
-        default="2.28",
-        help="The manylinux version. Must match the manylinux version that the kernel was compiled for.",
-    )
-    to_wheel_parser.set_defaults(func=kernels_to_wheel)
-
     # Add generate-readme subcommand parser
     generate_readme_parser = subparsers.add_parser(
         "generate-readme",
@@ -174,24 +154,6 @@ def download_kernels(args):
         sys.exit(1)
 
 
-def kernels_to_wheel(args):
-    variants_path = install_kernel_all_variants(
-        repo_id=args.repo_id, revision=f"v{args.version}"
-    )
-    for variant_path in variants_path.iterdir():
-        if not variant_path.is_dir():
-            continue
-        wheel_path = build_variant_to_wheel(
-            manylinux_version=args.manylinux_version,
-            python_version=args.python_version,
-            repo_id=args.repo_id,
-            version=args.version,
-            variant_path=variant_path,
-            wheel_dir=Path("."),
-        )
-        print(f"☸️ {wheel_path.name}", file=sys.stderr)
-
-
 def lock_kernels(args):
     with open(args.project_dir / "pyproject.toml", "rb") as f:
         data = tomllib.load(f)