Operator torch._ops.aten.unfold.default is not Aten Canonical

🐛 Describe the bug

I'm experimenting in exporting various MSS models to Executorch. Following the example export scenario in Executorch Documentation, the export terminates in error: 'Operator torch._ops.aten.unfold.default is not Aten Canonical'.

Sample reference code input:

# Instatiate model & load weights
model = MyMSSModel(**config.model)
model = load(model, checkpoint_path)
model.eval()

# Dummy one second tensor
model_args = (torch.rand(1, 2, 44100),)

# 1. torch.export: Defines the program with the ATen operator set.
aten_dialect = export(model, model_args)

# 2. to_edge: Make optimizations for Edge devices
edge_program = to_edge(aten_dialect) ### <-- FAIL

# 3. to_executorch: Convert the graph to an ExecuTorch program
executorch_program = edge_program.to_executorch()

Export output:

Traceback (most recent call last):
  File "/home/arijr/miniconda3/envs/executorch/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/arijr/miniconda3/envs/executorch/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/arijr/projects/SCNet/scnet/export-executorch.py", line 29, in <module>
    edge_program = to_edge(aten_dialect)
  File "/home/arijr/miniconda3/envs/executorch/lib/python3.10/site-packages/executorch/exir/program/_program.py", line 1019, in to_edge
    edge_programs[name] = _generate_edge_program(name, config, program)
  File "/home/arijr/miniconda3/envs/executorch/lib/python3.10/site-packages/executorch/exir/program/_program.py", line 680, in _generate_edge_program
    EXIRATenDialectVerifier(ops_set_to_not_decompose)(program.graph_module)
  File "/home/arijr/miniconda3/envs/executorch/lib/python3.10/site-packages/executorch/exir/verification/verifier.py", line 74, in __call__
    return self._check_graph_module(*args, **kwargs)
  File "/home/arijr/miniconda3/envs/executorch/lib/python3.10/site-packages/torch/_export/verifier.py", line 222, in _check_graph_module
    _check_valid_op(node.target)
  File "/home/arijr/miniconda3/envs/executorch/lib/python3.10/site-packages/torch/_export/verifier.py", line 205, in _check_valid_op
    self.check_valid_op(op)
  File "/home/arijr/miniconda3/envs/executorch/lib/python3.10/site-packages/executorch/exir/verification/verifier.py", line 116, in check_valid_op
    raise SpecViolationError(
**torch._export.verifier.SpecViolationError: Operator torch._ops.aten.unfold.default is not Aten Canonical.**

Versions

Collecting environment information...
PyTorch version: 2.4.0+cpu
Is debug build: False
CUDA used to build PyTorch: Could not collect
ROCM used to build PyTorch: N/A

OS: Ubuntu 24.04 LTS (x86_64)
GCC version: (Ubuntu 13.2.0-23ubuntu4) 13.2.0
Clang version: Could not collect
CMake version: version 3.30.3
Libc version: glibc-2.39

Python version: 3.10.0 (default, Mar 3 2022, 09:58:08) [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-6.8.0-40-generic-x86_64-with-glibc2.39
Is CUDA available: False
CUDA runtime version: 12.2.91
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration:
GPU 0: NVIDIA GeForce RTX 3090
GPU 1: NVIDIA GeForce RTX 3090
GPU 2: NVIDIA GeForce RTX 3090

Nvidia driver version: 535.183.01
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.3.3
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.3.3
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.3.3
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.3.3
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.3.3
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.3.3
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.3.3
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 48 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 32
On-line CPU(s) list: 0-31
Vendor ID: AuthenticAMD
Model name: AMD Ryzen 9 5950X 16-Core Processor
CPU family: 25
Model: 33
Thread(s) per core: 2
Core(s) per socket: 16
Socket(s): 1
Stepping: 2
Frequency boost: enabled
CPU(s) scaling MHz: 58%
CPU max MHz: 5083,3979
CPU min MHz: 2200,0000
BogoMIPS: 6799,81
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk clzero irperf xsaveerptr rdpru wbnoinvd arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip pku ospke vaes vpclmulqdq rdpid overflow_recov succor smca fsrm debug_swap
L1d cache: 512 KiB (16 instances)
L1i cache: 512 KiB (16 instances)
L2 cache: 8 MiB (16 instances)
L3 cache: 64 MiB (2 instances)
NUMA node(s): 1
NUMA node0 CPU(s): 0-31
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Mitigation; Safe RET
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines; IBPB conditional; IBRS_FW; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] executorch==0.3.0a0+7d77d78
[pip3] numpy==2.1.1
[pip3] torch==2.4.0+cpu
[pip3] torchaudio==2.4.0+cpu
[pip3] torchsr==1.0.4
[pip3] torchvision==0.19.0
[conda] executorch 0.3.0a0+7d77d78 pypi_0 pypi
[conda] numpy 2.1.1 pypi_0 pypi
[conda] torch 2.4.0+cpu pypi_0 pypi
[conda] torchaudio 2.4.0+cpu pypi_0 pypi
[conda] torchsr 1.0.4 pypi_0 pypi
[conda] torchvision 0.19.0 pypi_0 pypi
(

cc @JacobSzwejbka @angelayi

Start with the to_edge entry point in executorch/exir/program/_program.py and the verifier in executorch/exir/verification/verifier.py, then reproduce the failure using the export example and the reported torch.export/to_edge flow. Trace how torch._ops.aten.unfold.default is checked, and consider the issue complete when the reported model reaches the next export stage without the Aten Canonical error.