is recommended to use the
    [Keras mixed precision API](https://www.tensorflow.org/guide/mixed_precision)
    instead.

*   `tf.lite`:

    *   Remove `experimental.nn.dynamic_rnn`, `experimental.nn.TfLiteRNNCell`
        and `experimental.nn.TfLiteLSTMCell` since they're no longer supported.
        It's recommended to just use

app = FastAPI(lifespan=lifespan)


@app.get("/predict")
async def predict(x: float):
    result = ml_models["answer_to_everything"](x)
    return {"result": result}
```

**Note**: This is the recommended way going forward, instead of using `startup` and `shutdown` events.

Read more about it in the new docs: [Advanced User Guide: Lifespan Events](https://fastapi.tiangolo.com/advanced/events/).

### Docs

  After the connection closed(received GOAWAY), the client's other in-flight requests won't be affected, and the client will reconnect. 
  The flag min value is 0 (off), max is .02 (1/50 requests); .001 (1/1000) is a recommended starting point.

facilitate reviewing the implementation against the NIST FIPS 203 document. // // Reviewers unfamiliar with polynomials or linear algebra might find the // background at https://words.filippo.io/kyber-math/ useful. // // This file implements the recommended parameter set ML-KEM-768. The ML-KEM-1024 // parameter set implementation is auto-generated from this file. // //go:generate go run generate1024.go -input mlkem768.go -output mlkem1024.go import ( "bytes" "crypto/internal/fips140" "crypto/internal/fips140/drbg"...