## List Kernels

`gpu_droplets.list_kernels(intdroplet_id, GPUDropletListKernelsParams**kwargs)  -> GPUDropletListKernelsResponse`

**get** `/v2/droplets/{droplet_id}/kernels`

To retrieve a list of all kernels available to a Droplet, send a GET request
to `/v2/droplets/$DROPLET_ID/kernels`

The response will be a JSON object that has a key called `kernels`. This will
be set to an array of `kernel` objects, each of which contain the standard
`kernel` attributes.

### Parameters

- **droplet\_id:** `int`

- **page:** `int`

  Which 'page' of paginated results to return.

- **per\_page:** `int`

  Number of items returned per page

### Returns

- `class GPUDropletListKernelsResponse`

  - **meta:** `MetaProperties`

    Information about the response itself.

  - **kernels:** `Optional[List[Optional[Kernel]]]`

    - **id:** `Optional[int]`

      A unique number used to identify and reference a specific kernel.

    - **name:** `Optional[str]`

      The display name of the kernel. This is shown in the web UI and is generally a descriptive title for the kernel in question.

    - **version:** `Optional[str]`

      A standard kernel version string representing the version, patch, and release information.

  - **links:** `Optional[PageLinks]`

### Example

```python
from do_gradientai import GradientAI

client = GradientAI()
response = client.gpu_droplets.list_kernels(
    droplet_id=3164444,
)
print(response.meta)
```