kernels/pr_515/en/migration.md

Migrating from older versions

0.12

Adopting kernel versions

Before kernels 0.12, kernels could be pulled from a repository without specifying a version. This is deprecated in kernels 0.12 and will become an error in kernels 0.14. Instead, use of a kernel should always specify a version (except for local kernels).

Kernels only use a major version. The kernel maintainer is responsible for never breaking a kernel within a major version and should bump up the major version if the kernel API changes and/or when support for older Torch versions is removed.

You can find the versions that are supported by a kernel using the kernels versions command. For example:

$ kernels versions kernels-community/activation
Version 1: torch210-cxx11-cu126-x86_64-linux, torch210-cxx11-cu128-x86_64-linux, torch210-cxx11-cu130-x86_64-linux, torch27-cxx11-cu118-x86_64-linux, torch27-cxx11-cu126-x86_64-linux, torch27-cxx11-cu128-aarch64-linux, torch27-cxx11-cu128-x86_64-linux ✅, torch28-cxx11-cu126-aarch64-linux, torch28-cxx11-cu126-x86_64-linux, torch28-cxx11-cu128-aarch64-linux, torch28-cxx11-cu128-x86_64-linux, torch28-cxx11-cu129-aarch64-linux, torch28-cxx11-cu129-x86_64-linux, torch29-cxx11-cu126-aarch64-linux, torch29-cxx11-cu126-x86_64-linux, torch29-cxx11-cu128-aarch64-linux, torch29-cxx11-cu128-x86_64-linux, torch29-cxx11-cu130-aarch64-linux, torch29-cxx11-cu130-x86_64-linux

The command lists all available versions (here only version 1) with all the variants that are supported. A check mark is printed after the variant that is compatible with your current environment.

Code that uses a kernel can be updated as follows:

# Old:
activation = get_kernel("kernels-community/activation")
activation = get_kernel("kernels-community/activation", version=">=0.0.2 && <0.1.0")

# New:
activation = get_kernel("kernels-community/activation", version=1)

# Old:
kernel_layer_mapping = {
    "SiluAndMul": {
        "cuda": LayerRepository(
            repo_id="kernels-community/activation",
            layer_name="SiluAndMul",
        ),
    }
}
kernel_layer_mapping = {
    "SiluAndMul": {
        "cuda": LayerRepository(
            repo_id="kernels-community/activation",
            layer_name="SiluAndMul",
            version=">=0.0.2 && <0.1.0",
        ),
    }
}

# New:
kernel_layer_mapping = {
    "SiluAndMul": {
        "cuda": LayerRepository(
            repo_id="kernels-community/activation",
            layer_name="SiluAndMul",
            version=1,
        ),
    }
}