# 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.
# ==============================================================================

# Dockerfile to build a manylinux 2010 compliant TensorFlow pip package with
# cuda-clang.
#
# To build, first build the manylinux2010 toolchain docker image and tag it,
# then build the TensorFlow docker image using the tagged image as base.
#
# $ docker build -f Dockerfile.rbe.cuda10.0-cudnn7-ubuntu16.04-manylinux2010 \
#     --tag "local-manylinux-toolchain" .
# $ docker build -f Dockerfile.cuda-clang .

FROM local-manylinux-toolchain

WORKDIR /
RUN git clone https://github.com/tensorflow/tensorflow

WORKDIR /tensorflow
ENV TF_NEED_GCP=1 \
    TF_NEED_HDFS=1 \
    TF_NEED_CUDA=1 \
    TF_CUDA_CLANG=1 \
    PATH=/dt7/usr/bin:$PATH \
    PYTHON_BIN_PATH=/usr/bin/python3.6 \
    CLANG_CUDA_COMPILER_PATH=/clang_${CLANG_VERSION}/bin/clang

ADD cuda-clang.patch cuda-clang.patch
RUN patch -p1 < cuda-clang.patch

RUN yes "" | ./configure

RUN bazel build --config=opt tensorflow/tools/pip_package:build_pip_package

RUN ./bazel-bin/tensorflow/tools/pip_package/build_pip_package /tf-wheel