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If there are issues with parallelization, consider # setting these to 1. -ARG MAX_JOBS=4 -ARG NVTE_BUILD_THREADS_PER_JOB=1 +ARG MAX_JOBS +ARG NVTE_BUILD_THREADS_PER_JOB ENV UV_PROJECT_ENVIRONMENT=/opt/nemo_rl_venv ENV UV_LINK_MODE=copy @@ -62,6 +62,8 @@ ENV UV_LINK_MODE=copy # Create and activate virtual environment RUN <<"EOF" bash -exu uv venv ${UV_PROJECT_ENVIRONMENT} +# Install setuptools since uv venv --seed may not install it +VIRTUAL_ENV=$UV_PROJECT_ENVIRONMENT uv pip install setuptools # uv sync has a more reliable resolver than simple uv pip install which can fail # Sync each training + inference backend one at a time (since they may conflict) @@ -69,6 +71,7 @@ uv venv ${UV_PROJECT_ENVIRONMENT} # Do everything in one layer to prevent large layers. # The venv is symlinked to avoid bloating the layer size +VIRTUAL_ENV=$UV_PROJECT_ENVIRONMENT uv pip install setuptools # setuptools for flash-attn uv sync --link-mode symlink --locked --no-install-project uv sync --link-mode symlink --locked --extra vllm --no-install-project uv sync --link-mode symlink --locked --extra mcore --no-install-project diff --git a/nemo_rl/utils/venvs.py b/nemo_rl/utils/venvs.py index aab4a6fba5..16a59dc0c5 100644 --- a/nemo_rl/utils/venvs.py +++ b/nemo_rl/utils/venvs.py @@ -95,6 +95,7 @@ def create_local_venv( exec_cmd.extend(["echo", f"Finished creating venv {venv_path}"]) # Always run uv sync first to ensure the build requirements are set (for --no-build-isolation packages) + subprocess.run(["uv", "pip", "install", "setuptools"], env=env, check=True) subprocess.run(["uv", "sync"], env=env, check=True) subprocess.run(exec_cmd, env=env, check=True) diff --git a/pyproject.toml b/pyproject.toml index 62095ae9fb..43f7178c91 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,6 +23,7 @@ dependencies = [ "setuptools", "torch==2.7.0", "triton", + "flash-attn ; sys_platform == 'linux' and python_version == '3.12' and platform_machine != 'arm64' and platform_machine != 'aarch64'", "colored==2.2.3", "ray[default]==2.46.0", "transformers>=4.51.0", @@ -74,6 +75,8 @@ build = [ "hatchling", # Build requirement for mcore "pybind11", + # Build requirement for flash-attn + "psutil", ] docs = [ "sphinx", @@ -112,6 +115,7 @@ torchvision = [ triton = [ { index = "pytorch-cu128" }, ] +flash-attn = { url = "https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.0.post2/flash_attn-2.8.0.post2+cu12torch2.7cxx11abiTRUE-cp312-cp312-linux_x86_64.whl", marker = "sys_platform == 'linux' and python_version == '3.12' and platform_machine != 'arm64' and platform_machine != 'aarch64'" } [tool.uv.workspace] members = [ @@ -125,8 +129,7 @@ url = "https://download.pytorch.org/whl/cu128" explicit = true [tool.uv] -# Currently, TE must be built with no build-isolation b/c it requires torch -no-build-isolation-package = ["transformer-engine-torch", "transformer-engine"] +no-build-isolation-package = ["transformer-engine-torch", "transformer-engine", "flash-attn", "megatron-core"] # Always apply the build group since dependencies like TE/mcore/nemo-run require build dependencies # and this lets us assume they are implicitly installed with a simply `uv sync`. 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