`tf.mixed_precision. experimental.LossScale` in the constructor, and no
        longer has a `LossScale` associated with it. Instead, `Model.compile`
        will automatically wrap the optimizer with a `LossScaleOptimizer` using
        dynamic loss scaling if `Policy.name` is "mixed_float16".
    *   `tf.keras.mixed_precision.LossScaleOptimizer`'s constructor takes in

  E0303 17:25:03.436809 63839 helpers.go:680] eviction manager: failed to construct signal: "allocatableMemory.available" error: system container "pods" not found in metrics ([#88970](https://github.com/kubernetes/kubernetes/pull/88970), [@mysunshine92](https://github.com/mysunshine92)) [SIG Node]

For example, if you have an app like this:

```Python
from fastapi import FastAPI
from pydantic import BaseModel

class Item(BaseModel):