Running aten::add.out instead of aten::_softmax.out leads to FLASH overflow #5544
Description
🐛 Describe the bug
Hi,
I am running the following commands to build the bare-metal libraries, as mentioned in the documentation (https://pytorch.org/executorch/stable/executorch-arm-delegate-tutorial.html). This time, I want to try the add.out instead of softmax.out. The softmax operation works perfectly, but when I try to compile with the add operation, I run into a FLASH overflow.
cmake \
-DBUCK2=/tmp/buck2 \
-DCMAKE_INSTALL_PREFIX=$(pwd)/cmake-out \
-DEXECUTORCH_BUILD_EXECUTOR_RUNNER=OFF \
-DCMAKE_BUILD_TYPE=Release \
-DEXECUTORCH_ENABLE_LOGGING=ON \
-DEXECUTORCH_BUILD_ARM_BAREMETAL=ON \
-DEXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL=ON \
-DFLATC_EXECUTABLE="$(which flatc)" \
-DCMAKE_TOOLCHAIN_FILE=$(pwd)/examples/arm/ethos-u-setup/arm-none-eabi-gcc.cmake \
-B$(pwd)/cmake-out \
$(pwd)
cmake --build $(pwd)/cmake-out -j4 --target install --config Release
cmake \
-DCMAKE_INSTALL_PREFIX=$(pwd)/cmake-out \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_TOOLCHAIN_FILE=$(pwd)/examples/arm/ethos-u-setup/arm-none-eabi-gcc.cmake \
-DEXECUTORCH_SELECT_OPS_LIST="aten::add.out" \
-B$(pwd)/cmake-out/examples/arm \
$(pwd)/examples/arm
cmake --build $(pwd)/cmake-out/examples/arm --config Release
I also adjusted the AddModule in aot_arm_compiler.py since I am using a Cortex M4 Architecture:
class AddModule(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self, x):
return x + x
example_input = (torch.ones(2,2),)
can_delegate = False
Why does the operation add.out cause a FLASH overflow while the arm_runner.cpp with softmax.out is five times smaller than the maximum executable size on my hardware?
Versions
PyTorch version: 2.4.1+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.5 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.28.3
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-5.15.0-122-generic-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 GTX 950M
Nvidia driver version: 535.183.01
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): 8
On-line CPU(s) list: 0-7
Vendor ID: GenuineIntel
Model name: Intel(R) Core(TM) i7-6700HQ CPU @ 2.60GHz
CPU family: 6
Model: 94
Thread(s) per core: 2
Core(s) per socket: 4
Socket(s): 1
Stepping: 3
CPU max MHz: 3500,0000
CPU min MHz: 800,0000
BogoMIPS: 5199.98
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 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 invpcid_single pti ssbd ibrs ibpb stibp tpr_shadow vnmi 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 ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp md_clear flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 128 KiB (4 instances)
L1i cache: 128 KiB (4 instances)
L2 cache: 1 MiB (4 instances)
L3 cache: 6 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-7
Vulnerability Gather data sampling: Vulnerable: No 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 and seccomp
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==0.1.0
[pip3] numpy==2.1.1
[pip3] torch==2.4.1
[pip3] torchsr==1.0.4
[pip3] torchvision==0.19.1
[pip3] triton==3.0.0
[conda] Could not collect