mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],

This was designed this way mainly to allow using the same objects "yielded" by dependencies inside of background tasks, because the exit code would be executed after the background tasks were finished.

Nevertheless, as this would mean waiting for the response to travel through the network while unnecessarily holding a resource in a dependency with yield (for example a database connection), this was changed in FastAPI 0.106.0.

as the Edwards curve equivalent to Curve25519, and is // the curve used by the Ed25519 signature scheme. // // Most users don't need this package, and should instead use crypto/ed25519 for // signatures, golang.org/x/crypto/curve25519 for Diffie-Hellman, or // github.com/gtank/ristretto255 for prime order group logic. // // However, developers who do need to interact with low-level edwards25519 // operations can use filippo.io/edwards25519, an extended version of this // package repackaged as an...