# Copyright 2021-2024 NVIDIA CORPORATION # 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. #SPDX-License-Identifier: Apache-2.0 ARG FROM_IMAGE_NAME=nvcr.io/nvidia/pytorch:22.12-py3 FROM ${FROM_IMAGE_NAME} ENV DEBIAN_FRONTEND=noninteractive ENV DCGM_VERSION=2.2.9 ENV MODEL_NAVIGATOR_CONTAINER=1 ENV DGLBACKEND=pytorch RUN apt-get update && \ apt-get install --no-install-recommends -y software-properties-common curl python3-dev python3-pip python-is-python3 libb64-dev wget git wkhtmltopdf && \ \ curl -fsSL https://download.docker.com/linux/debian/gpg | apt-key add - && \ add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/debian buster stable" && \ apt-get update && \ apt-get install --no-install-recommends -y docker-ce docker-ce-cli containerd.io && \ \ . /etc/os-release && \ curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey| apt-key add - && \ curl -s -L "https://nvidia.github.io/nvidia-docker/${ID}${VERSION_ID}/nvidia-docker.list" > /etc/apt/sources.list.d/nvidia-docker.list && \ apt-get update && \ apt-get install --no-install-recommends -y nvidia-docker2 && \ \ curl -s -L -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/datacenter-gpu-manager_${DCGM_VERSION}_amd64.deb && \ dpkg -i datacenter-gpu-manager_${DCGM_VERSION}_amd64.deb && \ rm datacenter-gpu-manager_${DCGM_VERSION}_amd64.deb && \ \ apt-get clean && \ rm -rf /var/lib/apt/lists/* RUN apt-get update && \ apt-get install -y libb64-dev libb64-0d curl && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* WORKDIR /workspace ENV PYTHONPATH /workspace RUN rm /usr/lib/libxgboost.so ADD requirements.txt /workspace/requirements.txt ADD triton/requirements.txt /workspace/triton/requirements.txt RUN pip install -r /workspace/requirements.txt RUN pip install -r /workspace/triton/requirements.txt RUN pip install nvidia-pyindex RUN pip install git+https://github.com/NVIDIA/dllogger#egg=dllogger RUN pip install --no-cache-dir -r requirements.txt RUN pip install dgl==1.0.1 -f https://data.dgl.ai/wheels/cu117/repo.html ADD ./hydra_plugins /workspace/hydra_plugins RUN pip install /workspace/hydra_plugins/hydra_optuna_sweeper/ RUN pip install /workspace/hydra_plugins/hydra_joblib_launcher/ RUN pip install /workspace/hydra_plugins/hydra_multiprocessing_launcher/ RUN pip install /workspace/hydra_plugins/hydra_torchrun_launcher/ RUN cp /workspace/hydra_plugins/optuna_sweeper.py /usr/local/lib/python3.8/dist-packages/hydra/plugins/sweeper.py ADD . /workspace RUN rm -rf examples docker-examples tutorials