Failed to run qnn_inference_runner on an 8 Gen 2 device

🐛 Describe the bug

Hello, I'm following this tutorial to try and get it running on my phone. The only change I added was -fsanitize=undefined to examples/qualcomm/CMakeLists.txt to get around the ubsan problem I've been getting. It compiled just fine, but when I tried to run it on my phone, it failed.

I 00:00:00.008633 executorch:qnn_executor_runner.cpp:131] Model file ./dlv3_qnn.pte is loaded.
I 00:00:00.008849 executorch:qnn_executor_runner.cpp:140] Using method forward
I 00:00:00.008931 executorch:qnn_executor_runner.cpp:188] Setting up planned buffer 0, size 9031680.
[INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2
[WARNING] [Qnn ExecuTorch]:  <W> Initializing HtpProvider

[WARNING] [Qnn ExecuTorch]:  <W> Function not called, PrepareLib isn't loaded!

[INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2
[INFO] [Qnn ExecuTorch]: Caching: Caching is in RESTORE MODE.
[WARNING] [Qnn ExecuTorch]: Failed to interpret QNN Context binary. Error code 30010
[ERROR] [Qnn ExecuTorch]: Failed to parse QNN Graph Info. The cache might be broken. Please consider to re-generate the cache.
[WARNING] [Qnn ExecuTorch]:  <W> sg_stubPtr is not null, skip loadRemoteSymbols


[WARNING] [Qnn ExecuTorch]:  <W> This META does not have Alloc2 Support

[WARNING] [Qnn ExecuTorch]:  <W> This META does not have Alloc2 Support

[WARNING] [Qnn ExecuTorch]:  <W> This META does not have Alloc2 Support

[WARNING] [Qnn ExecuTorch]:  <W> This META does not have Alloc2 Support

[WARNING] [Qnn ExecuTorch]:  <W> This META does not have Alloc2 Support

[WARNING] [Qnn ExecuTorch]:  <W> sg_stubPtr is not null, skip loadRemoteSymbols


[WARNING] [Qnn ExecuTorch]:  <W> Function not called, PrepareLib isn't loaded!

[ERROR] [Qnn ExecuTorch]: QNN context cache is invalid.
E 00:00:00.281056 executorch:QnnManager.cpp:158] Fail to configure Qnn context
E 00:00:00.281075 executorch:QnnExecuTorchBackend.cpp:54] Fail to initialize Qnn Manager
E 00:00:00.281090 executorch:method.cpp:106] Init failed for backend QnnBackend: 0x1
F 00:00:00.286557 executorch:qnn_executor_runner.cpp:213] In function main(), assert failed (method.ok()): Loading of method forward failed with status 0x1
Aborted

Any help would be appreciated. Thanks in advance!

Versions

Collecting environment information...
PyTorch version: 2.4.0+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.30.4
Libc version: glibc-2.35

Python version: 3.10.12 (main, Sep 11 2024, 15:47:36) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-5.15.153.1-microsoft-standard-WSL2-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 4070 Laptop GPU
Nvidia driver version: 565.90
cuDNN version: Could not collect
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: 39 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 32
On-line CPU(s) list: 0-31
Vendor ID: GenuineIntel
Model name: 13th Gen Intel(R) Core(TM) i9-13900HX
CPU family: 6
Model: 183
Thread(s) per core: 2
Core(s) per socket: 16
Socket(s): 1
Stepping: 1
BogoMIPS: 4838.39
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology tsc_reliable nonstop_tsc cpuid pni pclmulqdq vmx ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves avx_vnni umip waitpkg gfni vaes vpclmulqdq rdpid movdiri movdir64b fsrm md_clear serialize flush_l1d arch_capabilities
Virtualization: VT-x
Hypervisor vendor: Microsoft
Virtualization type: full
L1d cache: 768 KiB (16 instances)
L1i cache: 512 KiB (16 instances)
L2 cache: 32 MiB (16 instances)
L3 cache: 36 MiB (1 instance)
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 Retbleed: Mitigation; Enhanced IBRS
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] executorch==0.3.0a0+7d77d78
[pip3] numpy==2.1.2
[pip3] torch==2.4.0+cu124
[pip3] torchaudio==2.4.0+cu124
[pip3] torchsr==1.0.4
[pip3] torchvision==0.19.0+cu124
[pip3] triton==3.0.0
[conda] Could not collect