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Commit 251ee69
Build the CUDA backend outside fbcode, with the LLM cache optional
Summary:
The CUDA backend's C++ runtime builds only in fbcode, and only with the LLM extension's KV cache linked in. So a C++ application that runs an exported vision or audio model on an NVIDIA GPU can't use it from any other Buck cell, cross-compiled aarch64 targets such as Jetson included. To run the same AOTInductor-compiled kernels it has to link LibTorch instead. XNNPACK, Vulkan and QNN already define their C++ targets in both cells; this does the same for CUDA.
- **Targets in both cells.** The `aoti/slim`, `extension/cuda` and `cuda/runtime` C++ targets are now defined outside fbcode too. There they carry `compatible_with = ["ovr_config//cuda:has_cuda"]`, so CPU-only builds skip them instead of failing to compile, and SlimTensor `storage` picks up its CUDA deps through a `select`. The Python AOTI targets stay fbcode-only.
- **Public headers.** Headers that dependents include (`slim_tensor.h`, `storage.h`, `runtime_api.h`, the shim and factory headers) move from `headers` to `exported_headers`, and `runtime_api`'s CUDA dependency becomes an exported external dep. Outside fbcode `headers` are private to the target, so nothing could compile against them. fbcode already exports both, so nothing changes there.
- **LLM cache optional, as in CMake.** CMake already builds `cuda_kv_cache.cpp` and `cuda_kv_pool.cpp` only with `EXECUTORCH_BUILD_EXTENSION_LLM`. Buck now does the same outside fbcode: the cache code in `cuda_backend.cpp` and `cuda_kv_cache.h` is behind that define, and the define is exported so that dependents see the same declarations as the backend. CMake now exports it too (`PUBLIC` instead of `PRIVATE` on `aoti_cuda_backend`), since the header's declarations depend on it; `test_cuda_kv_cache` and `cuda_batching` include that header. fbcode keeps the cache. A backend built without it still refuses a program whose KV cache lives off-graph, because `requires_offgraph_kv_storage` reads that from the program's constants and sits outside the gate.
- **Build flags.** The `nvcc` architecture flags stay fbcode-only. Outside fbcode the shims undefine `CPU_CAPABILITY_AVX2` and `CPU_CAPABILITY_AVX512` for CUDA sources: c10 exports them on x86, and `Half.h` then pulls host AVX2 `vec_half` code into nvcc compiles. `cuda-lazy` maps to `libcudart`, and the shims link `curand` and `thrust` for `rand.cu` and `sort.cu`.
fbcode builds keep the same sources and flags, and the CMake build is untouched.
Differential Revision: D1296544711 parent f2674fb commit 251ee69
18 files changed
Lines changed: 130 additions & 129 deletions
File tree
- backends
- aoti
- slim
- c10
- core
- cuda
- macros
- core
- cuda
- factory
- util
- cuda
- runtime
- extension/cuda
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