*   tf.optimizers => tf.keras.optimizers
    *   Add tf.keras.layers.AbstractRNNCell as the preferred implementation of
        RNN cell for TF v2. User can use it to implement RNN cell with custom
        behavior.
    *   Adding `clear_losses` API to be able to clear losses at the end of
        forward pass in a custom training loop in eager.

	DECW DX                                 // 66ffca
	DECW R11                                // 6641ffcb
	DECL (BX)                               // ff0b
	DECL (R11)                              // 41ff0b
	DECL DX                                 // ffca
	DECL R11                                // 41ffcb
	DECQ (BX)                               // 48ff0b
	DECQ (R11)                              // 49ff0b

header comments. cmap[ast.Node(f)] = nil // Remove top-level consts used across the main and generated files. var newDecls []ast.Decl for _, decl := range f.Decls { switch d := decl.(type) { case *ast.GenDecl: if d.Tok == token.CONST { continue // Skip const declarations } if d.Tok == token.IMPORT { cmap[decl] = nil // Drop pre-import comments. } } newDecls = append(newDecls, decl) } f.Decls = newDecls // Replace identifiers. ast.Inspect(f, func(n ast.Node) bool { switch x := n.(type) { case *ast.Ident:...

* 📝 Change the word "unwrap" to "unpack" in `docs/en/docs/tutorial/extra-models.md`. PR [#13061](https://github.com/fastapi/fastapi/pull/13061) by [@timothy-jeong](https://github.com/timothy-jeong).
* 📝 Update Request Body's `tutorial002` to deal with `tax=0` case. PR [#13230](https://github.com/fastapi/fastapi/pull/13230) by [@togogh](https://github.com/togogh).