training extension header files are not installed with "make install"

[berndporr]

🐛 Describe the bug

To reproduce:

cmake --preset linux -DEXECUTORCH_BUILD_EXTENSION_TRAINING=ON -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr/local .
cd cmake-out
make
sudo make install

The training header files are not installed:

/usr/local/include/executorch/extension/training/module/state_dict_util.h
/usr/local/include/executorch/extension/training/module/training_module.h
/usr/local/include/executorch/extension/training/optimizer/sgd.h

Fix:
add to executorch/extension/training/CMakeLists.txt:

# Headers
install(
  DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/module
  DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/executorch/extension/training/
  FILES_MATCHING
  PATTERN "*.h"
)

install(
  DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/optimizer
  DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/executorch/extension/training/
  FILES_MATCHING
  PATTERN "*.h"
)

CMakeLists.txt

I've checked out the current HEAD: 6b5283c

Versions

Collecting environment information...
PyTorch version: 2.11.0.dev20260215+cpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 24.04.4 LTS (x86_64)
GCC version: (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
Clang version: 18.1.3 (1ubuntu1)
CMake version: version 3.31.10
Libc version: glibc-2.39

Python version: 3.12.3 (main, Jan 22 2026, 20:57:42) [GCC 13.3.0] (64-bit runtime)
Python platform: Linux-6.14.0-37-generic-x86_64-with-glibc2.39
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
Is XPU available: False
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
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):                                  8
On-line CPU(s) list:                     0-7
Vendor ID:                               GenuineIntel
Model name:                              Intel(R) Core(TM) i5-10210U CPU @ 1.60GHz
CPU family:                              6
Model:                                   142
Thread(s) per core:                      2
Core(s) per socket:                      4
Socket(s):                               1
Stepping:                                12
CPU(s) scaling MHz:                      36%
CPU max MHz:                             4200.0000
CPU min MHz:                             400.0000
BogoMIPS:                                4199.88
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 ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust sgx 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 vnmi md_clear flush_l1d arch_capabilities
Virtualisation:                          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
Vulnerability Ghostwrite:                Not affected
Vulnerability Indirect target selection: Mitigation; Aligned branch/return thunks
Vulnerability Itlb multihit:             KVM: Mitigation: VMX disabled
Vulnerability L1tf:                      Not affected
Vulnerability Mds:                       Not affected
Vulnerability Meltdown:                  Not affected
Vulnerability Mmio stale data:           Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Reg file data sampling:    Not affected
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; PBRSB-eIBRS SW sequence; BHI SW loop, KVM SW loop
Vulnerability Srbds:                     Mitigation; Microcode
Vulnerability Tsa:                       Not affected
Vulnerability Tsx async abort:           Not affected
Vulnerability Vmscape:                   Mitigation; IBPB before exit to userspace

Versions of relevant libraries:
[pip3] executorch==1.2.0a0+1f4ad07
[pip3] numpy==2.3.4
[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] pytorch_tokenizers==1.0.1
[pip3] torch==2.11.0.dev20260215+cpu
[pip3] torchao==0.16.0+git08e5e203f
[pip3] torchaudio==2.11.0.dev20260215+cpu
[pip3] torchdata==0.11.0
[pip3] torchsr==1.0.4
[pip3] torchtune==0.0.0
[pip3] torchvision==0.26.0.dev20260215+cpu
[pip3] triton==3.5.1
[conda] Could not collect

cc @larryliu0820 @GregoryComer @JacobSzwejbka

[JacobSzwejbka]

ack. If you put up a PR Ill review it otherwise I can get to this later this week