- Service load balancers no longer exclude nodes marked unschedulable from the candidate nodes. The service load balancer exclusion label should be used instead.
  

// k constants first address VLD1 (R0), [V0.S4, V1.S4] // load h(a,b,c,d,e,f,g,h) VLD1.P 64(R2), [V16.S4, V17.S4, V18.S4, V19.S4] VLD1.P 64(R2), [V20.S4, V21.S4, V22.S4, V23.S4] VLD1.P 64(R2), [V24.S4, V25.S4, V26.S4, V27.S4] VLD1 (R2), [V28.S4, V29.S4, V30.S4, V31.S4] //load 64*4bytes K constant(K0-K63) blockloop: VLD1.P 16(R1), [V4.B16] // load 16bytes message VLD1.P 16(R1), [V5.B16] // load 16bytes message VLD1.P 16(R1), [V6.B16] // load 16bytes message VLD1.P 16(R1), [V7.B16] // load 16bytes message...

        `tf.not_equal`, `tf.sin`, `tf.sinh`, `tf.tan`
    *   Deprecate `tf.data.Dataset.shard`.
    *   Deprecate `saved_model.loader.load` which is replaced by
        `saved_model.load` and `saved_model.main_op`, which will be replaced by
        `saved_model.main_op` in V2.
    *   Deprecate tf.QUANTIZED_DTYPES. The official new symbol is
        tf.dtypes.QUANTIZED_DTYPES.

    /**
     * Get the value for the key 'adaptive.load.control'. <br>
     * The value is, e.g. 50 <br>
     * comment: Adaptive load control value.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getAdaptiveLoadControl();

    /**
     * Get the value for the key 'adaptive.load.control' as {@link Integer}. <br>
     * The value is, e.g. 50 <br>

from fastapi import FastAPI


def fake_answer_to_everything_ml_model(x: float):
    return x * 42


ml_models = {}


@asynccontextmanager
async def lifespan(app: FastAPI):
    # Load the ML model
    ml_models["answer_to_everything"] = fake_answer_to_everything_ml_model
    yield
    # Clean up the ML models and release the resources
    ml_models.clear()