Generating ETDump fails when using XNNPACK delegation

🐛 Describe the bug

When reproducing the ETDump generation example the executor to run Bundled Program file outputs aborted when I try to execute the bp file. The bp files was generated as follows:

In ETDump generatione example I simply replaced the to_edge() function with the API for the XNNPACK backend to_edge_transform_and_lower(). See below:

to_edge(aten_model, compile_config=EdgeCompileConfig(_check_ir_validity=True))

with

to_edge_transform_and_lower(aten_model, partitioner=[XnnpackPartitioner()],)

The output is then:

cmake-out/examples/devtools/example_runner --bundled_program_path="bundled_program_xnn.bp"
Abgebrochen

With 'to_edge()' everything works just fine. Can anyone point me in the right direction? Thanks!

Versions

PyTorch version: 2.5.0
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Debian GNU/Linux 12 (bookworm) (aarch64)
GCC version: (Debian 12.2.0-14) 12.2.0
Clang version: 14.0.6
CMake version: version 3.31.2
Libc version: glibc-2.36

Python version: 3.10.0 (default, Mar 3 2022, 09:51:40) [GCC 10.2.0] (64-bit runtime)
Python platform: Linux-6.6.62+rpt-rpi-v8-aarch64-with-glibc2.36
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture: aarch64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 4
On-line CPU(s) list: 0-3
Vendor ID: ARM
Model name: Cortex-A76
Model: 1
Thread(s) per core: 1
Core(s) per cluster: 4
Socket(s): -
Cluster(s): 1
Stepping: r4p1
CPU(s) scaling MHz: 100%
CPU max MHz: 2400,0000
CPU min MHz: 1500,0000
BogoMIPS: 108,00
Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm lrcpc dcpop asimddp
L1d cache: 256 KiB (4 instances)
L1i cache: 256 KiB (4 instances)
L2 cache: 2 MiB (4 instances)
L3 cache: 2 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-3
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: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; __user pointer sanitization
Vulnerability Spectre v2: Mitigation; CSV2, BHB
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] executorch==0.4.0a0+6a085ff
[pip3] numpy==1.26.4
[pip3] torch==2.5.0
[pip3] torchao==0.5.0+git0916b5b2
[pip3] torchaudio==2.5.0
[pip3] torchsr==1.0.4
[pip3] torchvision==0.20.0
[conda] executorch 0.4.0a0+6a085ff pypi_0 pypi
[conda] numpy 1.26.4 pypi_0 pypi
[conda] torch 2.5.0 pypi_0 pypi
[conda] torchao 0.5.0+git0916b5b2 pypi_0 pypi
[conda] torchaudio 2.5.0 pypi_0 pypi
[conda] torchsr 1.0.4 pypi_0 pypi
[conda] torchvision 0.20.0 pypi_0 pypi

cc @digantdesai @mcr229 @mergennachin @byjlw