diff --git a/.github/workflows/build-container.yml b/.github/workflows/build-container.yml new file mode 100644 index 00000000000..24a695b3d85 --- /dev/null +++ b/.github/workflows/build-container.yml @@ -0,0 +1,47 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +name: Build container +on: + pull_request: + paths: + - docker/Dockerfile + - pyproject.toml + - uv.lock + push: + branches: [main] + paths: + - docker/Dockerfile + - pyproject.toml + - uv.lock + workflow_dispatch: + +jobs: + build: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # v3 + + - name: Build + uses: docker/build-push-action@ca052bb54ab0790a636c9b5f226502c73d547a25 # v5 + with: + context: . + file: docker/Dockerfile + build-contexts: nemo-gym=. + target: release + push: false diff --git a/docker/Dockerfile b/docker/Dockerfile new file mode 100644 index 00000000000..2b11ab9fa4a --- /dev/null +++ b/docker/Dockerfile @@ -0,0 +1,106 @@ +# syntax=docker/dockerfile:1 +# Usage: +# Self-contained build (default: builds from main): +# docker buildx build -f docker/Dockerfile --tag /nemo-gym:latest --push . +# +# Self-contained build (specific git ref): +# docker buildx build -f docker/Dockerfile --build-arg GYM_GIT_REF=v0.4.0 \ +# --tag /nemo-gym:v0.4.0 --push . +# +# Local source override: +# docker buildx build --build-context nemo-gym=. -f docker/Dockerfile \ +# --tag /nemo-gym:latest --push . +# + +ARG BASE_IMAGE=nvcr.io/nvidia/cuda-dl-base:26.03-cuda13.2-devel-ubuntu24.04 + +# Source stage: clones Gym from GitHub. Override with --build-context nemo-gym=. +# to inject a local checkout instead. +FROM scratch AS nemo-gym +ARG GYM_GIT_REF=main +ADD --keep-git-dir=true https://github.com/NVIDIA-NeMo/Gym.git#${GYM_GIT_REF} / + +FROM ${BASE_IMAGE} AS base +ENV NEMO_GYM_CONTAINER=1 +USER root + +RUN <<"EOF" bash -exu -o pipefail +export DEBIAN_FRONTEND=noninteractive +export TZ=America/Los_Angeles + +apt-get update +apt-get install -y --no-install-recommends \ + jq \ + curl \ + git \ + rsync \ + wget \ + less \ + vim + +apt-get clean +rm -rf /var/lib/apt/lists/* +EOF + +ARG UV_VERSION=0.11.6 +ARG PYTHON_VERSION=3.12.11 +ENV PATH="/root/.local/bin:$PATH" +RUN curl -LsSf https://astral.sh/uv/${UV_VERSION}/install.sh | sh && \ + uv python install ${PYTHON_VERSION} + +ENV RAY_USAGE_STATS_ENABLED=0 + + +FROM base AS hermetic + +WORKDIR /opt/nemo-gym + +ARG BASE_IMAGE +ARG UV_VERSION + +ENV UV_PROJECT_ENVIRONMENT=/opt/nemo_gym_venv +ENV UV_LINK_MODE=copy + +# Copy only dependency metadata first for layer caching. +COPY --from=nemo-gym pyproject.toml uv.lock ./ +COPY --from=nemo-gym nemo_gym/__init__.py nemo_gym/package_info.py ./nemo_gym/ + +RUN uv venv --seed && \ + uv sync --link-mode symlink --locked --extra vllm --no-install-project + +ENV PATH="/opt/nemo_gym_venv/bin:$PATH" + + +FROM hermetic AS release + +ARG NEMO_GYM_PREFETCH_CONFIGS="" +ARG NEMO_GYM_COMMIT +ARG NVIDIA_BUILD_ID +ARG NVIDIA_BUILD_REF +ARG RC_DATE=00.00 +ARG TARGETARCH +ENV NEMO_GYM_COMMIT=${NEMO_GYM_COMMIT:-} +ENV NVIDIA_BUILD_ID=${NVIDIA_BUILD_ID:-} +ENV NVIDIA_BUILD_REF=${NVIDIA_BUILD_REF:-} +LABEL com.nvidia.build.id="${NVIDIA_BUILD_ID}" +LABEL com.nvidia.build.ref="${NVIDIA_BUILD_REF}" + +# Copy full source. Exclude pyproject.toml and uv.lock since they are +# already present from the hermetic stage. +COPY --from=nemo-gym --exclude=pyproject.toml --exclude=uv.lock . /opt/nemo-gym + +# Install the nemo-gym project itself along with the vllm extra. +RUN UV_LINK_MODE=symlink uv sync --locked --extra vllm + +# Optional: pre-warm per-server venvs at build time so they are ready at runtime. +# Pass --build-arg NEMO_GYM_PREFETCH_CONFIGS="path/to/config1.yaml,path/to/config2.yaml" +# Uses 'gym env prefetch' which accepts the same config format as 'gym env start', +# installs each server's venv serially, and exits without starting any server process. +RUN <<"EOF" bash -exu +if [[ -n "${NEMO_GYM_PREFETCH_CONFIGS:-}" ]]; then + gym env prefetch "+config_paths=[${NEMO_GYM_PREFETCH_CONFIGS}]" +fi +EOF + +ENTRYPOINT ["gym"] +CMD ["--help"] diff --git a/nemo_gym/cli/env.py b/nemo_gym/cli/env.py index 379bb4675fd..df1075ab40d 100644 --- a/nemo_gym/cli/env.py +++ b/nemo_gym/cli/env.py @@ -427,6 +427,74 @@ def check_http_server_statuses(self, successful_servers: List[str]) -> List[Tupl return statuses +@exit_cleanly_on_config_error +def prefetch( + global_config_dict_parser_config: Optional[GlobalConfigDictParserConfig] = None, +): # pragma: no cover + """ + Pre-warm per-server venvs without starting any servers. + + Accepts the same config format as 'gym env start'. For each server in the config, + creates its isolated venv and installs dependencies serially — similar to how + RL's prefetch_venvs.py installs actor venvs at container build time. + + No Ray is initialised and no server processes are started. Intended for use in + Dockerfile builds so venvs are ready at runtime with no network access needed. + + Configuration Parameter: + config_paths (List[str]): Paths to YAML configuration files. Specify via Hydra: `+config_paths="[file1.yaml,file2.yaml]"` + + Examples: + + ```bash + # Pre-warm venvs for a specific config + config_paths="responses_api_models/local_vllm_model/configs/local_vllm_model.yaml,\\ + resources_servers/math/configs/math.yaml" + gym env prefetch "+config_paths=[${config_paths}]" + ``` + """ + global_config_dict = get_global_config_dict(global_config_dict_parser_config=global_config_dict_parser_config) + GlobalConfigDictParser().raise_on_no_server_instances(global_config_dict) + + top_level_paths = [k for k in global_config_dict.keys() if k not in NEMO_GYM_RESERVED_TOP_LEVEL_KEYS] + + seen_dirs: set = set() + for top_level_path in top_level_paths: + server_config_dict = global_config_dict[top_level_path] + if not isinstance(server_config_dict, DictConfig): + continue + + first_key = list(server_config_dict)[0] + server_config_dict = server_config_dict[first_key] + if not isinstance(server_config_dict, DictConfig): + continue + second_key = list(server_config_dict)[0] + server_config_dict = server_config_dict[second_key] + if not isinstance(server_config_dict, DictConfig): + continue + + if "entrypoint" not in server_config_dict: + continue + + dir_path = _resolve_server_dir(Path(first_key, second_key)) + if dir_path in seen_dirs: + print(f"Skipping duplicate: {dir_path}") + continue + seen_dirs.add(dir_path) + print(f"Pre-warming venv for: {dir_path}") + + # Run only the setup (venv creation + dep install) — no server start. + # Serial execution reduces uv cache size (same reasoning as dry_run in RunHelper.start). + setup_cmd = setup_env_command(dir_path, global_config_dict, top_level_path) + process = run_command(setup_cmd, dir_path, server_name=top_level_path) + returncode = process.wait() + if returncode != 0: + print(f"ERROR: prefetch failed for {dir_path} (exit {returncode})") + raise SystemExit(returncode) + + print("Prefetch complete.") + + @exit_cleanly_on_config_error def run( global_config_dict_parser_config: Optional[GlobalConfigDictParserConfig] = None, diff --git a/nemo_gym/cli/main.py b/nemo_gym/cli/main.py index 9081fd65e24..b5c4f46c84b 100644 --- a/nemo_gym/cli/main.py +++ b/nemo_gym/cli/main.py @@ -530,6 +530,18 @@ def _dataset_download(args: argparse.Namespace, overrides: list[str]) -> None: MODEL_API_KEY, ), ), + "env prefetch": Command( + target="nemo_gym.cli.env:prefetch", + summary="Pre-warm per-server venvs without starting servers.", + flags=( + CONFIG, + BENCHMARK, + ENVIRONMENT, + RESOURCES_SERVER_CONFIG, + MODEL_TYPE, + SEARCH_DIR, + ), + ), "env status": Command(target="nemo_gym.cli.env:status", summary="Print the server status.", flags=(JSON,)), "eval prepare": Command( target="nemo_gym.cli.eval:prepare_benchmark", diff --git a/pyproject.toml b/pyproject.toml index e1f61c71e09..4f80f1f9702 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -228,6 +228,15 @@ all = [ "nemo-gym[dev,sandbox]", ] +vllm = [ + # Pin to the same version used by local_vllm_model / genrm_model server venvs. + "vllm==0.20.0", + # Pin flashinfer to the exact version vllm 0.20.0 specifies, ensuring pre-compiled + # CUDA kernels are used (avoids JIT compilation on first generation == slow step time). + # flashinfer>=0.2 bundles compiled kernels in the python package directly. + "flashinfer-python==0.6.8.post1", +] + sandbox = [ # Tenacity: Retry helpers used by sandbox providers. # Updated: Sat May 09, 2026 with tenacity==9.1.4 diff --git a/responses_api_models/genrm_model/setup.py b/responses_api_models/genrm_model/setup.py index 18959dbc94c..36291c25a4e 100644 --- a/responses_api_models/genrm_model/setup.py +++ b/responses_api_models/genrm_model/setup.py @@ -23,7 +23,7 @@ # We specifically pin the vllm dependency because we have tested on this version. # Updated Tue Jun 23, 2026 with vllm==0.20.0 - # License: Apache 2.0 https://github.com/vllm-project/vllm/blob/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/LICENSE + # License: Apache 2.0 https://github.com/vllm-project/vllm/blob/main/LICENSE # "vllm==0.20.0", # VLLM is resolved below since installation on Macs requires special workarounds. @@ -48,6 +48,11 @@ dependencies.append("vllm==0.11.0") else: dependencies.append("vllm==0.20.0") + # Pin flashinfer to the exact version vllm 0.20.0 requires — pre-compiled CUDA kernels, + # avoids JIT compilation on first generation. Must stay in sync with pyproject.toml [vllm]. + # Updated Tue Jun 23, 2026 with flashinfer-python==0.6.8.post1 + # License: Apache 2.0 https://github.com/flashinfer-ai/flashinfer/blob/main/LICENSE + dependencies.append("flashinfer-python==0.6.8.post1") setuptools.setup(install_requires=dependencies) diff --git a/responses_api_models/local_vllm_model/setup.py b/responses_api_models/local_vllm_model/setup.py index eb22c9d9cd0..5697e1180b9 100644 --- a/responses_api_models/local_vllm_model/setup.py +++ b/responses_api_models/local_vllm_model/setup.py @@ -20,7 +20,7 @@ # We specifically pin the vllm dependency because we have tested on this version. # Updated Tue Jun 23, 2026 with vllm==0.20.0 - # License: Apache 2.0 https://github.com/vllm-project/vllm/blob/88d34c6409e9fb3c7b8ca0c04756f061d2099eb1/LICENSE + # License: Apache 2.0 https://github.com/vllm-project/vllm/blob/main/LICENSE # "vllm==0.20.0", # VLLM is resolved below since installation on Macs requires special workarounds. @@ -45,6 +45,11 @@ dependencies.append("vllm==0.11.0") else: dependencies.append("vllm==0.20.0") + # Pin flashinfer to the exact version vllm 0.20.0 requires — pre-compiled CUDA kernels, + # avoids JIT compilation on first generation. Must stay in sync with pyproject.toml [vllm]. + # Updated Tue Jun 23, 2026 with flashinfer-python==0.6.8.post1 + # License: Apache 2.0 https://github.com/flashinfer-ai/flashinfer/blob/main/LICENSE + dependencies.append("flashinfer-python==0.6.8.post1") setuptools.setup(install_requires=dependencies) diff --git a/uv.lock b/uv.lock index 9894ba73e38..5df8574666a 100644 --- a/uv.lock +++ b/uv.lock @@ -5,11 +5,14 @@ resolution-markers = [ "python_full_version >= '3.14' and sys_platform == 'linux'", "python_full_version == '3.13.*' and sys_platform == 'linux'", "python_full_version >= '3.14' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version >= '3.14' and sys_platform == 'darwin'", + "python_full_version >= '3.14' and sys_platform != 'darwin' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version == '3.13.*' and sys_platform == 'win32'", - "python_full_version == '3.13.*' and 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