non-experimental `Policy`, there is no loss scale associated with the `Policy`, and `Model.compile` wraps the optimizer with a `LossScaleOptimizer` if and only if the policy is a `"mixed_float16"` policy. If you previously passed a `LossScale` to the experimental `Policy`, consider just removing it, as the default loss scaling behavior is usually what you want. If you really want to customize the loss scaling behavior, you can wrap your optimizer with a `LossScaleOptimizer` before passing it to `Model.compile`....

* 🌐 Add Turkish translation for `docs/tr/docs/tutorial/static-files.md`. PR [#11599](https://github.com/tiangolo/fastapi/pull/11599) by [@hasansezertasan](https://github.com/hasansezertasan).
* 🌐 Polish translation for `docs/pl/docs/fastapi-people.md`. PR [#10196](https://github.com/tiangolo/fastapi/pull/10196) by [@isulim](https://github.com/isulim).

// (polynomials over GF(2)) modulo the irreducible polynomial x⁸ + x⁴ + x³ + x + 1. // Addition of these binary polynomials corresponds to binary xor. // Reducing mod poly corresponds to binary xor with poly every // time a 0x100 bit appears. const poly = 1<<8 | 1<<4 | 1<<3 | 1<<1 | 1<<0 // x⁸ + x⁴ + x³ + x + 1 // Powers of x mod poly in GF(2). var powx = [16]byte{ 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x1b, 0x36, 0x6c, 0xd8, 0xab, 0x4d, 0x9a, 0x2f, } // FIPS-197 Figure 7. S-box substitution...

// (polynomials over GF(2)) modulo the irreducible polynomial x⁸ + x⁴ + x³ + x + 1. // Addition of these binary polynomials corresponds to binary xor. // Reducing mod poly corresponds to binary xor with poly every // time a 0x100 bit appears. const poly = 1<<8 | 1<<4 | 1<<3 | 1<<1 | 1<<0 // x⁸ + x⁴ + x³ + x + 1 // Powers of x mod poly in GF(2). var powx = [16]byte{ 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x1b, 0x36, 0x6c, 0xd8, 0xab, 0x4d, 0x9a, 0x2f, } // FIPS-197 Figure 7. S-box substitution...