/fips140/v1.0.0/bigmod/testdata/mod_inv_tests.txt # ModInv tests. # # These test vectors satisfy ModInv * A = 1 (mod M) and 0 <= ModInv < M. ModInv = 00 A = 00 M = 01 ModInv = 00 A = 01 M = 01 ModInv = 00 A = 02 M = 01 ModInv = 00 A = 03 M = 01 ModInv = 64 A = 54 M = e3 ModInv = 13 A = 2b M = 30 ModInv = 2f A = 30 M = 37 ModInv = 4 A = 13 M = 4b ModInv = 1c47 A = cd4 M = 6a21 ModInv = 2b97 A = 8e7 M = 49c0 ModInv = 29b9 A = fcb M = 3092 ModInv = a83 A = 14bf M = 41ae ModInv = 18f15fe1 A = 11b5d53e...

    *   Update `Fingerprint64Map` to use aliases
    *   Add legacy string flat hash map op kernels.
    *   Add support for `add_metric` in the graph function mode.
    *   Updating cosine similarity loss - removed the negate sign from cosine
        similarity.
    *   Changed default for gradient accumulation for TPU embeddings to true.
    *   Adds summary trace API for collecting graph and profile information.

- Kubeadm: The ClusterStatus struct present in the kubeadm-config ConfigMap is deprecated and will be removed on a future version. It is going to be maintained by kubeadm until it gets removed. The same information can be found on `etcd` and `kube-apiserver` pod annotations, `kubeadm.kubernetes.io/etcd.advertise-client-urls` and `kubeadm.kubernetes.io/kube-apiserver.advertise-address.endpoint`...

In some cases, for pure data validation and processing, you can get performance improvements of **20x** or more. This means 2,000% or more. 🤯

When you use **FastAPI**, there's a lot more going on, processing the request and response, handling dependencies, executing **your own code**, and particularly, **waiting for the network**. But you will probably still get some nice performance improvements just from the upgrade.