Failed with qualcomm.scripts.export_example

[b3602sss]

Hello,

I run this example but it failed.

executorch$ python -m examples.qualcomm.scripts.export_example --model_name mul
WARNING:root:Error in get_fake_program for graph GraphModule()

 def forward(self, arg0_1, arg1_1):
    aten_mul_tensor = executorch_exir_dialects_edge__ops_aten_mul_Tensor(arg0_1, arg1_1);  arg0_1 = arg1_1 = None
    return (aten_mul_tensor,)

# To see more debug info, please use `graph_module.print_readable()`, fallback to deepcopy: User output aten_mul_tensor is not in the correct order or is not found in the exported program's user_output list: ('quantized_decomposed_dequantize_per_tensor_default_2',). 
[INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2
[WARNING] [Qnn ExecuTorch]: QnnDsp <W> Initializing HtpProvider

[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]: QnnDsp <W> sg_stubPtr is not null, skip loadRemoteSymbols

I can't run the pte on my device, do you known how to fix it?

Versions

Collecting environment information... PyTorch version: 2.5.0.dev20240618+cpu Is debug build: False CUDA used to build PyTorch: Could not collect ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.4 LTS (x86_64) GCC version: (Ubuntu 12.3.0-1ubuntu1~22.04) 12.3.0 Clang version: Could not collect CMake version: version 3.30.0 Libc version: glibc-2.35

Python version: 3.10.0 (default, Mar 3 2022, 09:58:08) [GCC 7.5.0] (64-bit runtime) Python platform: Linux-6.5.0-41-generic-x86_64-with-glibc2.35 Is CUDA available: False CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: N/A GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3070 Nvidia driver version: 550.90.07 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: 46 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 24 On-line CPU(s) list: 0-23 Vendor ID: GenuineIntel Model name: 12th Gen Intel(R) Core(TM) i9-12900K CPU family: 6 Model: 151 Thread(s) per core: 2 Core(s) per socket: 16 Socket(s): 1 Stepping: 2 CPU max MHz: 5200.0000 CPU min MHz: 800.0000 BogoMIPS: 6374.40 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb intel_pt sha_ni xsaveopt xsavec xgetbv1 xsaves split_lock_detect avx_vnni dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req hfi vnmi umip pku ospke waitpkg gfni vaes vpclmulqdq tme rdpid movdiri movdir64b fsrm md_clear serialize pconfig arch_lbr ibt flush_l1d arch_capabilities Virtualization: VT-x L1d cache: 640 KiB (16 instances) L1i cache: 768 KiB (16 instances) L2 cache: 14 MiB (10 instances) L3 cache: 30 MiB (1 instance) NUMA node(s): 1 NUMA node0 CPU(s): 0-23 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: Not affected Vulnerability Spec rstack overflow: Not affected 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; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected

Versions of relevant libraries: [pip3] executorch==0.4.0a0+f32d707 [pip3] numpy==2.0.0 [pip3] torch==2.5.0.dev20240618+cpu [pip3] torchaudio==2.4.0.dev20240618+cpu [pip3] torchsr==1.0.4 [pip3] torchvision==0.20.0.dev20240618+cpu [conda] executorch 0.4.0a0+f32d707 pypi_0 pypi [conda] numpy 2.0.0 pypi_0 pypi [conda] torch 2.5.0.dev20240618+cpu pypi_0 pypi [conda] torchaudio 2.4.0.dev20240618+cpu pypi_0 pypi [conda] torchvision 0.20.0.dev20240618+cpu pypi_0 pypi

[haowhsu-quic]

May I know if you have same QNN SDK version on device and host? The generated context binary is not forward compatible.

[b3602sss]

May I know if you have same QNN SDK version on device and host? The generated context binary is not forward compatible.

v2.17.0

[haowhsu-quic]

Could you try following test case and see if the lowering issue still persists? python backends/qualcomm/test/test_qnn_delegate.py -k TestQNNFloatingPointOperator.test_qnn_backend_element_wise_mul -b build_android -m ${YOUR_SOC_MODEL} -s {ADB_DEVICE_SERIAL}

[b3602sss]

Could you try following test case and see if the lowering issue still persists? python backends/qualcomm/test/test_qnn_delegate.py -k TestQNNFloatingPointOperator.test_qnn_backend_element_wise_mul -b build_android -m ${YOUR_SOC_MODEL} -s {ADB_DEVICE_SERIAL}

I see the issue: python backends/qualcomm/tests/test_qnn_delegate.py -k ImportError: cannot import name 'Constraint' from 'torch._dynamo.eval_frame' (/home/wbw/miniconda3/envs/executorch3/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py)

[cccclai]

What is your pytorch version?

import torch
print(torch.__version__)

[b3602sss]

What is your pytorch version?

import torch
print(torch.__version__)

2.5.0.dev20240618+cpu

[chiwwang]

It might be PyTorch version mismatched. Could you please try to run https://github.com/pytorch/executorch/blob/main/install_requirements.sh and build executorch library again?

The version at the moment is dev20240716.

[b3602sss]

It might be PyTorch version mismatched. Could you please try to run https://github.com/pytorch/executorch/blob/main/install_requirements.sh and build executorch library again?

The version at the moment is dev20240716.

It works. Thank you.