# Copyright 2026 The TensorFlow Authors. All Rights Reserved.
#
# 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.
# ==============================================================================

FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04

LABEL maintainer="Jan Prach <jendap@google.com>"

# In the Ubuntu 16.04 images, cudnn is placed in system paths. Move them to
# /usr/local/cuda
RUN cp -P /usr/include/cudnn.h /usr/local/cuda/include
RUN cp -P /usr/lib/x86_64-linux-gnu/libcudnn* /usr/local/cuda/lib64

# Installs TensorRT, which is not included in NVIDIA Docker containers.
RUN apt-get update \
        && apt-get install nvinfer-runtime-trt-repo-ubuntu1604-5.0.2-ga-cuda10.0 \
        && apt-get update \
        && apt-get install -y --no-install-recommends libnvinfer5=5.0.2-1+cuda10.0 libnvinfer-dev=5.0.2-1+cuda10.0

# Copy and run the install scripts.
COPY install/*.sh /install/
ARG DEBIAN_FRONTEND=noninteractive
RUN /install/install_bootstrap_deb_packages.sh
RUN add-apt-repository -y ppa:openjdk-r/ppa && \
    add-apt-repository -y ppa:george-edison55/cmake-3.x
RUN /install/install_deb_packages.sh

RUN /install/install_pip_packages.sh
RUN /install/install_bazel.sh
RUN /install/install_golang.sh

# Set up the master bazelrc configuration file.
COPY install/.bazelrc /etc/bazel.bazelrc
ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH

# Link NCCL libray and header where the build script expects them.
RUN mkdir /usr/local/cuda/lib &&  \
    ln -s /usr/lib/x86_64-linux-gnu/libnccl.so.2 /usr/local/cuda/lib/libnccl.so.2 && \
    ln -s /usr/include/nccl.h /usr/local/cuda/include/nccl.h

# Configure the build for our CUDA configuration.
ENV TF_NEED_CUDA 1
ENV TF_NEED_TENSORRT 1