[FFI] Bump tvm-ffi to 63224e3 and fix regressions

[tqchen]

Summary

Bump tvm-ffi submodule from c85fd42 (#471) to 63224e3 (#512), spanning 41 commits with 7 breaking changes. Fix regressions introduced by the bump:

Fixes

1. Duplicate field declarations in C++ types — New tvm-ffi auto-wires __init__ from C++ reflection by walking the parent type chain. Child types that re-declared parent fields (RXPlaceholderOpNode, FunctionFrameNode) caused duplicate parameter errors. Fixed by removing duplicate field registrations from child types.

2. Repr format regression (7 tests) — New tvm-ffi CObject.__repr__ uses dataclass repr. Added Node.__repr__ in python/tvm/ir/base.py to use TVMScript printer for IR nodes.

3. Host/device function split (3 tests) — str(target.kind) now returns full dataclass repr instead of kind name. Changed to target.kind.name in python/tvm/tirx/build.py.

4. __slots__ enforcement — New tvm-ffi enforces __slots__=() on Object subclasses. Added __slots__ = ("__dict__",) to classes that need instance attributes: Pass, BlockBuilder, TVMDerivedObject.

Changes

• 3rdparty/tvm-ffi — submodule bump c85fd42 → 63224e3
• python/tvm/ir/base.py — Node.__repr__ using TVMScript printer
• python/tvm/ir/transform.py — Pass.__slots__ = ("__dict__",)
• python/tvm/tirx/build.py — target.kind.name instead of str(target.kind)
• python/tvm/relax/block_builder.py — BlockBuilder.__slots__ = ("__dict__",)
• python/tvm/runtime/support.py — TVMDerivedObject.__slots__ = ("__dict__", "__weakref__")
• python/tvm/s_tir/meta_schedule/utils.py — TVMDerivedObject.__slots__ = ("__dict__",)
• include/tvm/script/ir_builder/relax/frame.h — remove duplicate field registrations
• src/relax/ir/emit_te.h — remove duplicate field registrations

Test plan

• tirx-base: 251 passed, 23 skipped
• relax import + build: verified
• Full CI

[gemini-code-assist]

Summary of Changes

Hello, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request focuses on updating the tvm-ffi submodule to its latest version, which introduced several breaking changes. The core objective is to integrate these upstream modifications while simultaneously resolving critical regressions that emerged, specifically addressing issues with object initialization, function lookup within executables, the representation printing of TVM objects, and the accurate identification of target kinds.

Highlights

• tvm-ffi Submodule Update: The tvm-ffi submodule was bumped from commit c85fd42 to 63224e3, incorporating 41 commits and addressing 7 breaking changes.
• TEPlaceholderOp Auto-init Fix: A duplicate parameter error in relax.TEPlaceholderOp was resolved by adding a no-op __init__ method, which became necessary due to the new tvm-ffi auto-wiring __init__ from C++ reflection.
• Executable.call Function Resolution: The Executable.__call__ method was updated to explicitly query imported sub-modules for the main function by setting query_imports=True, fixing an issue where main was not being found.
• Repr Printer Override: The ffi.ReprPrint behavior was overridden in C++ to utilize TVMScriptPrinter::Script for TVM objects, ensuring that str() and repr() on these objects produce TVMScript format instead of the default dataclass representation.
• Host/Device Function Split Logic: Host target detection in tirx/build.py was corrected by changing str(target.kind) to target.kind.name, as str(target.kind) now returns a dataclass representation instead of the kind name.

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[gemini-code-assist]

Code Review

This pull request updates the tvm-ffi subproject and modifies the ReprPrint functionality to use the TVMScript printer for ObjectRef values, both in Python and C++. It also includes minor refactorings in python/tvm/relax/expr.py, python/tvm/runtime/executable.py, and python/tvm/tirx/build.py. A review comment points out that the direct monkey-patching of tvm_ffi._ffi_api.ReprPrint in python/tvm/base.py is fragile and suggests a more robust public API in tvm-ffi for future improvements.