Building failed for Cadence target #18181
Description
🐛 Describe the bug
I used cmd as below to create executorch components for cadence target:
`rm -rf cmake-out-cadence
CXXFLAGS="-fno-exceptions -fno-rtti" cmake
-DCMAKE_TOOLCHAIN_FILE=./backends/cadence/cadence.cmake
-DCMAKE_INSTALL_PREFIX=./cmake-out-cadence
-DCMAKE_BUILD_TYPE=Release
-DBUILD_SHARED_LIBS=OFF
-DEXECUTORCH_BUILD_CADENCE=ON
-DEXECUTORCH_BUILD_EXECUTOR_RUNNER=OFF
-DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON
-DEXECUTORCH_BUILD_PTHREADPOOL=OFF
-DEXECUTORCH_BUILD_CPUINFO=OFF
-DEXECUTORCH_BUILD_PORTABLE_OPS=ON
-DEXECUTORCH_BUILD_KERNELS_LLM=OFF
-DEXECUTORCH_ENABLE_LOGGING=ON
-DEXECUTORCH_ENABLE_PROGRAM_VERIFICATION=ON
-DEXECUTORCH_USE_DL=OFF
-DEXECUTORCH_NNLIB_OPT=ON
-DEXECUTORCH_ENABLE_EVENT_TRACER=OFF
-DHAVE_FNMATCH_H=OFF
-DFLATCC_ALLOW_WERROR=OFF
-B cmake-out-cadence`
**And, error rised:
CMake Error at backends/cadence/hifi/kernels/CMakeLists.txt:8 (add_library):
Cannot find source file:
/mnt/d/workspace/executorch/backends/cadence/hifi/third-party/nnlib/xa_nn_broadcast_32.c**
Tried extensions .c .C .c++ .cc .cpp .cxx .cu .mpp .m .M .mm .ixx .cppm
.ccm .cxxm .c++m .h .hh .h++ .hm .hpp .hxx .in .txx .f .F .for .f77 .f90
.f95 .f03 .hip .ispc
CMake Error at backends/cadence/hifi/kernels/CMakeLists.txt:8 (add_library):
No SOURCES given to target: cadence_kernels
Then, I checked source from newest main branch commit, executorch/backends/cadence/hifi/third-party/nnlib/xa_nn_broadcast_32.c is not found indeed.
So, should I change backends/cadence/hifi/kernels/CMakeLists.txt or use some other method to resolve it?
Versions
PyTorch version: N/A
Is debug build: N/A
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.5 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04.3) 11.4.0
Clang version: Could not collect
CMake version: version 3.31.10
Libc version: glibc-2.3
Python version: 3.10.8 (Wed Jun 14 15:29:07 CST 2023) [Graal, GraalVM CE, Java 17.0.7] (32-bit runtime)
Python platform: Linux-6.6.87.2-microsoft-standard-WSL2-x86_64-with-glibc2.3
Is CUDA available: N/A
CUDA runtime version: 12.5.40
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 4060 Laptop GPU
Nvidia driver version: 555.97
cuDNN version: Could not collect
Is XPU available: N/A
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: N/A
Caching allocator config: N/A
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: Intel(R) Core(TM) i9-14900HX
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 tsc_known_freq pni pclmulqdq vmx ssse3 fma cx16 pcid 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 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 vnmi 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)
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: Mitigation; Clear Register File
Vulnerability Retbleed: Mitigation; Enhanced IBRS
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] numpy==2.2.6
[pip3] nvidia-cublas-cu12==12.8.4.1
[pip3] nvidia-cuda-cupti-cu12==12.8.90
[pip3] nvidia-cuda-nvrtc-cu12==12.8.93
[pip3] nvidia-cuda-runtime-cu12==12.8.90
[pip3] nvidia-cudnn-cu12==9.10.2.21
[pip3] nvidia-cufft-cu12==11.3.3.83
[pip3] nvidia-curand-cu12==10.3.9.90
[pip3] nvidia-cusolver-cu12==11.7.3.90
[pip3] nvidia-cusparse-cu12==12.5.8.93
[pip3] nvidia-cusparselt-cu12==0.7.1
[pip3] nvidia-nccl-cu12==2.27.5
[pip3] nvidia-nvjitlink-cu12==12.8.93
[pip3] nvidia-nvtx-cu12==12.8.90
[pip3] torch==2.11.0.dev20260215+cpu
[pip3] triton==3.6.0
[conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi
[conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi
[conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi
[conda] nvidia-cuda-runtime-cu12 12.8.90 pypi_0 pypi
[conda] nvidia-cudnn-cu12 9.10.2.21 pypi_0 pypi
[conda] nvidia-cufft-cu12 11.3.3.83 pypi_0 pypi
[conda] nvidia-curand-cu12 10.3.9.90 pypi_0 pypi
[conda] nvidia-cusolver-cu12 11.7.3.90 pypi_0 pypi
[conda] nvidia-cusparse-cu12 12.5.8.93 pypi_0 pypi
[conda] nvidia-cusparselt-cu12 0.7.1 pypi_0 pypi
[conda] nvidia-nccl-cu12 2.27.5 pypi_0 pypi
[conda] nvidia-nvjitlink-cu12 12.8.93 pypi_0 pypi
[conda] nvidia-nvtx-cu12 12.8.90 pypi_0 pypi
[conda] torch 2.11.0.dev20260215+cpu pypi_0 pypi
[conda] triton 3.6.0 pypi_0 pypi