Update on "[ExecuTorch][#10447] Extend PyBundledModule with extension.BundledModule"

#10447

# Context

This issue is a step of #9638.

In #9638, we want to have `extension.Module` as the single source of implementation in `pybindings`, which means that `pybindings.PyModule` should use `extension.Module` rather than its own `pybindings.Module`.

# Proposal

Now that we have `extension.BundledModule` ready, we want to test it out by having our existing `PyBundledModule` to extend it, and let `verify_result_with_bundled_expected_output` to use it, so that we can test out the whole thing with https://github.com/pytorch/executorch/blob/fb45e19055a92d2a91a4d4b7008e135232cbb14b/devtools/bundled_program/test/test_end2end.py

Differential Revision: [D73564127](https://our.internmc.facebook.com/intern/diff/D73564127/)

[ghstack-poisoned]

Author: zhenyan-zhang-meta

extension/module/bundled_module.h

@@ -54,13 +54,11 @@ class BundledModule : public Module {
   }
 
   /**
-   * Constructs an instance with the bundled program buffer pointer.
-   *
-   * This constructor reads the program from bundled program buffer to load the
-   * module with data loader. The bundled program pointer is preserved so that
-   * the portion outside of program is accessible.
+   * Constructs an instance by loading a bundled program from a file with
+   * specified memory locking behavior.
    *
-   * @param[in] file_path The path to the ExecuTorch program file to load.
+   * @param[in] file_path The path to the ExecuTorch bundled program file to
+   * load.
    * @param[in] memory_allocator A MemoryAllocator used for memory management.
    * @param[in] temp_allocator A MemoryAllocator to use when allocating
    * temporary data during kernel or delegate execution.