mean.

*   TF Core:

    *   `tf.custom_gradient` can now be applied to functions that accept
        "composite" tensors, such as `tf.RaggedTensor`, as inputs.
    *   Fix device placement issues related to datasets with ragged tensors of
        strings (i.e. variant encoded data with types not supported on GPU).
    *   'experimental_follow_type_hints' for tf.function has been deprecated.

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: if replacement, ok := replacements[x.Name]; ok { x.Name = replacement } } return true }) // Replace identifiers in comments. for _, c := range f.Comments { for _, l := range c.List { for k, v := range replacements { if k == "k" { continue } l.Text = strings.ReplaceAll(l.Text, k, v) } }...

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: if replacement, ok := replacements[x.Name]; ok { x.Name = replacement } } return true }) // Replace identifiers in comments. for _, c := range f.Comments { for _, l := range c.List { for k, v := range replacements { if k == "k" { continue } l.Text = strings.ReplaceAll(l.Text, k, v) } }...