Closed Abhyuday98 closed 1 month ago
Additional Build Flags were required. The following builds successfully:
# Build the core executorch library
cmake . -DCMAKE_INSTALL_PREFIX=cmake-android-out \
-DCMAKE_TOOLCHAIN_FILE="${ANDROID_NDK}/build/cmake/android.toolchain.cmake" \
-DANDROID_ABI="${ANDROID_ABI}" \
-DANDROID_PLATFORM=android-24 \
-DEXECUTORCH_BUILD_XNNPACK=ON \
-DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
-DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
-DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
-DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
-DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
-DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
-DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
-Bcmake-android-out
cmake --build cmake-android-out -j16 --target install
Additional Build Flags were required. The following builds successfully:
# Build the core executorch library cmake . -DCMAKE_INSTALL_PREFIX=cmake-android-out \ -DCMAKE_TOOLCHAIN_FILE="${ANDROID_NDK}/build/cmake/android.toolchain.cmake" \ -DANDROID_ABI="${ANDROID_ABI}" \ -DANDROID_PLATFORM=android-24 \ -DEXECUTORCH_BUILD_XNNPACK=ON \ -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \ -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \ -DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \ -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \ -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \ -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \ -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \ -Bcmake-android-out cmake --build cmake-android-out -j16 --target install
This is correct. Thanks @Abhyuday98 for the help here. We are updating the docs with more details here.
Happy to help! I've been a big admirer of Pytorch Mobile, and I've used it extensively for on device AI in my company's apps. Now that's it's in Legacy, I'm exploring Executorch. I would actually love to contribute once I wrap my head around this repository
🐛 Describe the bug
When I follow the documentation on the following link: Building an ExecuTorch Android Demo App cloning
--branch v0.3.0
everything works as intended.However, when I try to do the same on the main branch, the build fails.
The Below commands give the desired output:
Next, when I run the following commands:
Failing at 2. Build the android extension
Output:
Versions
Collecting environment information... PyTorch version: 2.5.0.dev20240901+cpu Is debug build: False CUDA used to build PyTorch: Could not collect ROCM used to build PyTorch: N/A
OS: Ubuntu 24.04.1 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: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0] (64-bit runtime) Python platform: Linux-6.8.0-44-generic-x86_64-with-glibc2.39 Is CUDA available: False CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: N/A GPU models and configuration: GPU 0: NVIDIA RTX A2000 12GB Nvidia driver version: 550.107.02 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): 12 On-line CPU(s) list: 0-11 Vendor ID: GenuineIntel Model name: Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz CPU family: 6 Model: 158 Thread(s) per core: 2 Core(s) per socket: 6 Socket(s): 1 Stepping: 10 CPU(s) scaling MHz: 88% CPU max MHz: 3200.0000 CPU min MHz: 800.0000 BogoMIPS: 6399.96 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 pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb pti ssbd ibrs ibpb stibp tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm arat pln pts hwp hwp_notify hwp_act_window hwp_epp vnmi md_clear flush_l1d arch_capabilities Virtualization: VT-x L1d cache: 192 KiB (6 instances) L1i cache: 192 KiB (6 instances) L2 cache: 1.5 MiB (6 instances) L3 cache: 12 MiB (1 instance) NUMA node(s): 1 NUMA node0 CPU(s): 0-11 Vulnerability Gather data sampling: Mitigation; Microcode Vulnerability Itlb multihit: KVM: Mitigation: VMX disabled Vulnerability L1tf: Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable Vulnerability Mds: Mitigation; Clear CPU buffers; SMT vulnerable Vulnerability Meltdown: Mitigation; PTI Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT vulnerable Vulnerability Reg file data sampling: Not affected Vulnerability Retbleed: Mitigation; 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; IBRS; IBPB conditional; STIBP conditional; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected Vulnerability Srbds: Mitigation; Microcode Vulnerability Tsx async abort: Mitigation; TSX disabled
Versions of relevant libraries: [pip3] executorch==0.4.0a0+ef31608 [pip3] numpy==1.21.3 [pip3] torch==2.5.0.dev20240901+cpu [pip3] torchaudio==2.5.0.dev20240901+cpu [pip3] torchsr==1.0.4 [pip3] torchvision==0.20.0.dev20240901+cpu [conda] executorch 0.4.0a0+ef31608 pypi_0 pypi [conda] numpy 1.21.3 pypi_0 pypi [conda] torch 2.5.0.dev20240901+cpu pypi_0 pypi [conda] torchaudio 2.5.0.dev20240901+cpu pypi_0 pypi [conda] torchsr 1.0.4 pypi_0 pypi [conda] torchvision 0.20.0.dev20240901+cpu pypi_0 pypi