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# 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:
```bash
$ 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:
```python
# 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,
),
}
}
```

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