Metal backend (AOTI): MobileNet/YOLO fail to export — missing fallback c-shims (addmm / split_copy / slice_copy)

[abdelaziz-mahdy]

Summary

The experimental Apple Metal backend (backends/apple/metal, AOTI-based) can't lower common CNNs (MobileNetV3, YOLO). Export fails with "missing fallback kernels" for ops the backend has no c-shim for. Sharing findings + suggestions — not a complete analysis, just flagging that standard CNNs can't currently target Metal.

Environment

• ExecuTorch 1.3.1 (pip), torch 2.12.0, torchao 0.17.0 built from git with TORCHAO_BUILD_EXPERIMENTAL_MPS=1, macOS arm64 (Apple M2), Python 3.11.

Minimal repro

import torch, torch.nn as nn
from torch.export import export
from executorch.exir import to_edge_transform_and_lower
from executorch.backends.apple.metal.metal_partitioner import MetalPartitioner
from executorch.backends.apple.metal.metal_backend import MetalBackend

class M(nn.Module):
 def __init__(self):
 super().__init__()
 self.fc = nn.Linear(4, 4)
 def forward(self, x):
 a, b = torch.split(x, 4, dim=1) # -> aten.split_copy.Tensor
 return self.fc(a + b)

ep = export(M().eval(), (torch.randn(1, 8),))
to_edge_transform_and_lower(
 ep,
 partitioner=[MetalPartitioner([MetalBackend.generate_method_name_compile_spec("forward")])],
).to_executorch()

W torch/_inductor/ir.py: aten.split_copy.Tensor is missing a c-shim implementation, using proxy executor as fallback
RuntimeError: Method forward missing fallback kernels (1 total):
 - aten::split_copy.Tensor
Please add them to the AOTI backend.

Real models (exported via MetalPartitioner):

• MobileNetV3-small → missing aoti_torch_mps_addmm_out (the classifier Linear).
• YOLO11n → missing aten::split_copy.Tensor.

Root cause

MetalBackend.get_supported_fallback_kernels() only lists:
aoti_torch_mps_bmm_out, aoti_torch_mps_convolution, aoti_torch_mps_mm_out, _scaled_dot_product_attention_math_for_mps::call, torchao::_linear_fp_act_4bit_weight.
When AOTInductor emits a fallback for any other op (split_copy, slice_copy, addmm, …) there's no c-shim, and get_decomposition_table() is empty → export fails.

What I tried (why decomposition alone isn't enough)

• Adding aten.addmm.default to get_decomposition_table() looks viable — torch has a stock decomp (addmm → mm + add) and mm_out is supported.
• split_copy has no stock decomposition. A custom split_copy → slice_copy decomposition just moves the failure to aten::slice_copy.Tensor, which is also missing a c-shim. The supported set has no view/copy primitive to bottom out on.

Suggestions

1. Add AOTI MPS c-shims for the common view/copy ops AOTInductor emits as fallbacks (slice_copy, split_copy, addmm_out, …); or
2. Provide decompositions to already-supported ops (works for addmm → mm; the slice/split family needs a supported target); or
3. Have AOTInductor codegen these for the MPS device rather than emitting proxy-executor fallbacks.

Happy to help test fixes.