From 3f4f7c9ba611e13e784a5daca9b1857a0ca89451 Mon Sep 17 00:00:00 2001 From: Ryuichi Leo Takashige Date: Thu, 12 Mar 2026 11:25:41 +0000 Subject: [PATCH] Only do for aarch64 linux --- flake.nix | 8 +- justfile | 12 + nix/cuda-pkgs.nix | 2 +- pyproject.toml | 33 +- python/parts.nix | 6 +- src/exo/worker/runner/bootstrap.py | 36 + .../worker/runner/vllm_inference/runner.py | 7 + uv.lock | 3016 ++++++++++++++--- 8 files changed, 2583 insertions(+), 537 deletions(-) diff --git a/flake.nix b/flake.nix index c25f475c..baa78d19 100644 --- a/flake.nix +++ b/flake.nix @@ -129,8 +129,8 @@ }; default = self'.packages.exo; } - ) // lib.optionalAttrs pkgs.stdenv.hostPlatform.isLinux { - # CUDA-compiled PyTorch and vLLM (built from source by nixpkgs) + ) // lib.optionalAttrs (pkgsCuda != null) { + # CUDA-compiled PyTorch and vLLM (built from source by nixpkgs, aarch64-linux only) torch-cuda = pkgsCuda.python313Packages.torch; vllm-cuda = pkgsCuda.python313Packages.vllm; @@ -181,8 +181,8 @@ }; }; - # CUDA development shell with torch + vLLM (Linux only) - devShells = lib.optionalAttrs pkgs.stdenv.hostPlatform.isLinux + # CUDA development shell with torch + vLLM (aarch64-linux only) + devShells = lib.optionalAttrs (pkgsCuda != null) { cuda = pkgs.mkShell { packages = [ diff --git a/justfile b/justfile index f278e579..e21453d0 100644 --- a/justfile +++ b/justfile @@ -15,6 +15,18 @@ check: sync: uv sync --all-packages +sync-cuda: + #!/usr/bin/env bash + set -euo pipefail + if command -v nvidia-smi &>/dev/null; then + arch=$(nvidia-smi --query-gpu=compute_cap --format=csv,noheader | head -1 | tr -d ' ') + export TORCH_CUDA_ARCH_LIST="$arch" + export VLLM_TARGET_DEVICE=cuda + fi + uv pip install "cmake>=3.26.1" ninja "packaging>=24.2" "setuptools>=77.0.3,<81.0.0" "setuptools-scm>=8.0" wheel jinja2 + find ~/.cache/uv/git-v0 -name CMakeCache.txt -delete 2>/dev/null || true + uv sync --extra cuda + sync-clean: uv sync --all-packages --force-reinstall --no-cache diff --git a/nix/cuda-pkgs.nix b/nix/cuda-pkgs.nix index 6904b27f..c5c1fde3 100644 --- a/nix/cuda-pkgs.nix +++ b/nix/cuda-pkgs.nix @@ -2,7 +2,7 @@ let pkgs = import nixpkgs { inherit system; }; in -if pkgs.stdenv.hostPlatform.isLinux then +if system == "aarch64-linux" then import nixpkgs { inherit system; diff --git a/pyproject.toml b/pyproject.toml index bda73302..6d32ea3f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,7 +18,7 @@ dependencies = [ "exo_pyo3_bindings", # rust bindings "anyio==4.11.0", "mlx; sys_platform == 'darwin'", - "mlx[cpu]==0.30.6; sys_platform == 'linux'", + "mlx==0.30.6; sys_platform == 'linux'", "mlx-lm", "tiktoken>=0.12.0", # required for kimi k2 tokenizer "hypercorn>=0.18.0", @@ -26,7 +26,7 @@ dependencies = [ "httpx>=0.28.1", "tomlkit>=0.14.0", "pillow>=11.0,<12.0", # compatibility with mflux - "mflux==0.15.5", + "mflux==0.15.5; sys_platform == 'darwin'", "python-multipart>=0.0.21", "msgspec>=0.19.0", "zstandard>=0.23.0", @@ -46,11 +46,12 @@ dev = [ "ruff>=0.11.13", ] -# mlx[cuda] requires a newer version of mlx. the ideal on linux is: default to mlx[cpu] unless[cuda] specified. [project.optional-dependencies] -# cuda = [ -# "mlx[cuda]==0.26.3", -# ] +cuda = [ + "torch>=2.10.0; sys_platform == 'linux'", + "vllm>=0.13.0; sys_platform == 'linux'", + "mlx-cuda-13==0.30.6; sys_platform == 'linux'", +] ### # workspace configuration @@ -63,10 +64,19 @@ members = ["rust/exo_pyo3_bindings", "bench"] exo_pyo3_bindings = { workspace = true } mlx = { git = "https://github.com/rltakashige/mlx-jaccl-fix-small-recv.git", branch = "address-rdma-gpu-locks", marker = "sys_platform == 'darwin'" } mlx-lm = { git = "https://github.com/rltakashige/mlx-lm", branch = "leo/eval-left-padding-in-batched-rotation" } +torch = [ + { index = "pytorch-cu130", marker = "sys_platform == 'linux'" }, +] +vllm = { git = "https://github.com/hmellor/vllm.git", branch = "transformers-v5" } # Uncomment to use local mlx/mlx-lm development versions: # mlx = { path = "/Users/Shared/mlx", editable=true } # mlx-lm = { path = "/Users/Shared/mlx-lm", editable=true } +[[tool.uv.index]] +name = "pytorch-cu130" +url = "https://download.pytorch.org/whl/cu130" +explicit = true + [build-system] requires = ["uv_build>=0.8.9,<0.9.0"] build-backend = "uv_build" @@ -121,7 +131,16 @@ root = "src" [tool.uv] required-version = ">=0.8.6" prerelease = "allow" -environments = ["sys_platform == 'darwin'", "sys_platform == 'linux'"] +environments = ["sys_platform == 'darwin'", "sys_platform == 'linux' and platform_machine == 'aarch64'"] +no-binary-package = ["vllm"] +no-build-isolation-package = ["vllm"] +extra-build-dependencies = { vllm = ["cmake>=3.26.1", "ninja", "packaging>=24.2", "setuptools>=77.0.3,<81.0.0", "setuptools-scm>=8.0", "wheel", "jinja2"] } +conflicts = [ + [ + { package = "exo", extra = "cuda" }, + { package = "exo-bench" }, + ], +] ### # ruff configuration diff --git a/python/parts.nix b/python/parts.nix index 41c263b4..aad4cb4b 100644 --- a/python/parts.nix +++ b/python/parts.nix @@ -189,7 +189,11 @@ done ''; - exoCudaVenv = (pythonSet.mkVirtualEnv "exo-cuda-env" exoDeps).overrideAttrs { + exoCudaDeps = exoDeps // { + mlx-cuda-13 = [ ]; + }; + + exoCudaVenv = (pythonSet.mkVirtualEnv "exo-cuda-env" exoCudaDeps).overrideAttrs { venvIgnoreCollisions = venvCollisionPaths; }; diff --git a/src/exo/worker/runner/bootstrap.py b/src/exo/worker/runner/bootstrap.py index 028f76ce..26b8ba28 100644 --- a/src/exo/worker/runner/bootstrap.py +++ b/src/exo/worker/runner/bootstrap.py @@ -1,5 +1,9 @@ +import ctypes +import ctypes.util import os import resource +import sys +from pathlib import Path import loguru @@ -11,6 +15,34 @@ from exo.utils.channels import ClosedResourceError, MpReceiver, MpSender logger: "loguru.Logger" = loguru.logger +_CUDA_HOST_LIBS = ["libcuda.so.1", "libnvidia-ml.so.1", "libnvidia-ptxjitcompiler.so.1"] +_CUDA_HOST_SEARCH_DIRS = [ + Path("/usr/lib/aarch64-linux-gnu"), + Path("/usr/lib/x86_64-linux-gnu"), + Path("/usr/lib64"), + Path("/usr/lib"), + Path("/usr/local/cuda/lib64"), + Path("/usr/local/cuda/compat"), +] + + +def _ensure_cuda_libs() -> None: + if sys.platform != "linux": + return + for search_dir in _CUDA_HOST_SEARCH_DIRS: + driver = search_dir / "libcuda.so.1" + if not driver.exists(): + continue + for lib_name in _CUDA_HOST_LIBS: + lib_path = search_dir / lib_name + if lib_path.exists(): + try: + ctypes.CDLL(str(lib_path), mode=ctypes.RTLD_GLOBAL) + logger.info(f"Loaded CUDA host lib: {lib_path}") + except OSError as e: + logger.warning(f"Failed to load {lib_path}: {e}") + return + def entrypoint( bound_instance: BoundInstance, @@ -36,6 +68,7 @@ def entrypoint( # Import main after setting global logger - this lets us just import logger from this module try: if isinstance(bound_instance.instance, VllmInstance): + _ensure_cuda_libs() from exo.worker.runner.vllm_inference.runner import Runner as VllmRunner runner = VllmRunner( @@ -71,6 +104,9 @@ def entrypoint( ) finally: try: + torch_mod = sys.modules.get("torch") + if torch_mod is not None and torch_mod.distributed.is_initialized(): + torch_mod.distributed.destroy_process_group() event_sender.close() task_receiver.close() finally: diff --git a/src/exo/worker/runner/vllm_inference/runner.py b/src/exo/worker/runner/vllm_inference/runner.py index 76a12c71..7cbe3a78 100644 --- a/src/exo/worker/runner/vllm_inference/runner.py +++ b/src/exo/worker/runner/vllm_inference/runner.py @@ -232,6 +232,11 @@ def _make_usage(prompt_tokens: int, completion_tokens: int) -> Usage: def _check_vllm_available() -> None: if not torch.cuda.is_available(): + logger.warning( + f"torch.cuda.is_available()=False, " + f"torch.version.cuda={torch.version.cuda}, " + f"torch.backends.cuda.is_built()={torch.backends.cuda.is_built()}" + ) raise RuntimeError("CUDA is not available \u2014 vLLM requires a CUDA GPU") logger.info( f"vLLM pre-flight: vllm {vllm.__version__}, " @@ -871,5 +876,7 @@ class Runner: self.engine = None gc.collect() torch.cuda.empty_cache() + if torch.distributed.is_initialized(): + torch.distributed.destroy_process_group() self.send_task_status(task.task_id, TaskStatus.Complete) self.update_status(RunnerShutdown()) diff --git a/uv.lock b/uv.lock index 0e79ba87..dff36537 100644 --- a/uv.lock +++ b/uv.lock @@ -2,15 +2,24 @@ version = 1 revision = 3 requires-python = ">=3.13" resolution-markers = [ - "python_full_version >= '3.14' and sys_platform == 'darwin'", - "python_full_version < '3.14' and sys_platform == 'darwin'", - "python_full_version >= '3.14' and sys_platform == 'linux'", - "python_full_version < '3.14' and sys_platform == 'linux'", + "python_full_version >= '3.14' and sys_platform == 'darwin' and extra != 'extra-3-exo-cuda' and extra == 'project-9-exo-bench'", + "python_full_version < '3.14' and sys_platform == 'darwin' and extra != 'extra-3-exo-cuda' and extra == 'project-9-exo-bench'", + "sys_platform == 'darwin' and extra == 'extra-3-exo-cuda' and extra != 'project-9-exo-bench'", + "sys_platform == 'darwin' and extra != 'extra-3-exo-cuda' and extra != 'project-9-exo-bench'", + 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