Fix warning - LegacyKeyValueFormat: "ENV key=value" should be used instead of legacy "ENV key value" format (#22800)

### Description
This PR Fix warning - `LegacyKeyValueFormat: "ENV key=value" should be
used instead of legacy "ENV key value" format` from all Dockerfile



### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->

dockerfiles/Dockerfile.migraphx

@@ -10,7 +10,7 @@ FROM rocm/pytorch:rocm6.2.3_ubuntu22.04_py3.10_pytorch_release_2.3.0
 ARG ONNXRUNTIME_REPO=https://github.com/Microsoft/onnxruntime
 ARG ONNXRUNTIME_BRANCH=main
 
-ENV PATH /code/cmake-3.27.3-linux-x86_64/bin:${PATH}
+ENV PATH=/code/cmake-3.27.3-linux-x86_64/bin:${PATH}
 
 RUN apt-get update &&\
     apt-get install -y migraphx

dockerfiles/Dockerfile.openvino

@@ -11,7 +11,7 @@ FROM openvino/ubuntu22_runtime:${OPENVINO_VERSION} AS builder
 
 ENV WORKDIR_PATH=/home/openvino
 WORKDIR $WORKDIR_PATH
-ENV DEBIAN_FRONTEND noninteractive
+ENV DEBIAN_FRONTEND=noninteractive
 
 ARG DEVICE=CPU
 ARG ONNXRUNTIME_REPO=https://github.com/microsoft/onnxruntime.git
@@ -41,7 +41,7 @@ RUN tar cvf GPL_sources.tar.gz /sources
 # Deploy stage
 FROM openvino/ubuntu22_runtime:${OPENVINO_VERSION}
 
-ENV DEBIAN_FRONTEND noninteractive
+ENV DEBIAN_FRONTEND=noninteractive
 USER root
 COPY --from=builder /home/openvino/onnxruntime/build/Linux/Release/dist/*.whl ./
 COPY --from=builder /GPL_sources.tar.gz ./
@@ -50,7 +50,7 @@ ARG BUILD_UID=1001
 ARG BUILD_USER=onnxruntimedev
 RUN adduser --uid $BUILD_UID $BUILD_USER
 RUN usermod -a -G video,users ${BUILD_USER}
-ENV WORKDIR_PATH /home/${BUILD_USER}
+ENV WORKDIR_PATH=/home/${BUILD_USER}
 WORKDIR ${WORKDIR_PATH}
 
 USER ${BUILD_USER}

dockerfiles/Dockerfile.rocm

@@ -12,7 +12,7 @@ ARG ONNXRUNTIME_BRANCH=main
 
 WORKDIR /code
 
-ENV PATH /code/cmake-3.27.3-linux-x86_64/bin:${PATH}
+ENV PATH=/code/cmake-3.27.3-linux-x86_64/bin:${PATH}
 
 # Prepare onnxruntime repository & build onnxruntime
 RUN git clone --single-branch --branch ${ONNXRUNTIME_BRANCH} --recursive ${ONNXRUNTIME_REPO} onnxruntime &&\

dockerfiles/Dockerfile.tensorrt

@@ -17,7 +17,7 @@ RUN apt-get update &&\
 RUN unattended-upgrade
 
 WORKDIR /code
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:/code/cmake-3.27.3-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/code/cmake-3.27.3-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
 
 # Prepare onnxruntime repository & build onnxruntime with TensorRT
 RUN git clone --single-branch --branch ${ONNXRUNTIME_BRANCH} --recursive ${ONNXRUNTIME_REPO} onnxruntime &&\

dockerfiles/Dockerfile.vitisai

@@ -22,8 +22,8 @@ RUN apt-get update && \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/*
 
-ENV PATH /code/cmake-3.27.3-linux-x86_64/bin:$PATH
-ENV LD_LIBRARY_PATH /opt/xilinx/xrt/lib:$LD_LIBRARY_PATH
+ENV PATH=/code/cmake-3.27.3-linux-x86_64/bin:$PATH
+ENV LD_LIBRARY_PATH=/opt/xilinx/xrt/lib:$LD_LIBRARY_PATH
 
 WORKDIR /code
 RUN . $VAI_ROOT/conda/etc/profile.d/conda.sh &&\

orttraining/tools/amdgpu/Dockerfile.rocm4.3.1.pytorch

@@ -46,7 +46,7 @@ RUN cd MLNX_OFED_LINUX-${MOFED_VERSION}-${MOFED_OS}-x86_64 && \
     rm -r MLNX_OFED_LINUX-${MOFED_VERSION}-${MOFED_OS}-x86_64
 
 ENV PATH=${OLD_PATH}
-ENV unset OLD_PATH
+ENV unset=OLD_PATH
 
 # python env
 RUN pip3 install --upgrade setuptools

tools/ci_build/github/linux/docker/Dockerfile.manylinux2_28_cuda

@@ -42,5 +42,5 @@ ARG BUILD_USER=onnxruntimedev
 RUN adduser --uid $BUILD_UID $BUILD_USER
 WORKDIR /home/$BUILD_USER
 USER $BUILD_USER
-ENV PATH /usr/local/dotnet:$PATH
-ENV CUDA_MODULE_LOADING "LAZY"
+ENV PATH=/usr/local/dotnet:$PATH
+ENV CUDA_MODULE_LOADING="LAZY"

tools/ci_build/github/linux/docker/Dockerfile.manylinux2_28_rocm

@@ -201,5 +201,5 @@ ARG BUILD_USER=onnxruntimedev
 RUN adduser --uid $BUILD_UID $BUILD_USER
 WORKDIR /home/$BUILD_USER
 USER $BUILD_USER
-ENV PATH /usr/local/dotnet:$PATH
+ENV PATH=/usr/local/dotnet:$PATH
 ENV ORTMODULE_ONNX_OPSET_VERSION=$OPSET_VERSION

tools/ci_build/github/linux/docker/Dockerfile.package_ubi8_cuda11_8_tensorrt8_6

@@ -9,7 +9,7 @@ ARG BASEIMAGE=nvidia/cuda:11.8.0-cudnn8-devel-ubi8
 ARG TRT_VERSION=8.6.1.6-1.cuda11.8
 FROM $BASEIMAGE AS base
 ARG TRT_VERSION
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${PATH}
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${PATH}
 
 RUN dnf install -y bash wget &&\
     dnf clean dbcache

tools/ci_build/github/linux/docker/Dockerfile.package_ubi8_cuda_tensorrt10_0

@@ -9,7 +9,7 @@ ARG BASEIMAGE=nvidia/cuda:12.5.1-cudnn-devel-ubi8
 ARG TRT_VERSION=10.6.0.26-1.cuda12.6
 FROM $BASEIMAGE AS base
 ARG TRT_VERSION
-ENV PATH /opt/python/cp310-cp310/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${PATH}
+ENV PATH=/opt/python/cp310-cp310/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${PATH}
 
 RUN dnf install -y bash wget &&\
     dnf clean dbcache

tools/ci_build/github/linux/docker/Dockerfile.package_ubi8_cuda_tensorrt10_0_torch

@@ -9,7 +9,7 @@ ARG BASEIMAGE=nvidia/cuda:11.8.0-cudnn8-devel-ubi8
 ARG TRT_VERSION=10.6.0.26-1.cuda11.8
 FROM $BASEIMAGE AS base
 ARG TRT_VERSION
-ENV PATH /opt/python/cp38-cp38/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${PATH}
+ENV PATH=/opt/python/cp38-cp38/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${PATH}
 
 RUN dnf install -y bash wget &&\
     dnf clean dbcache

tools/ci_build/github/linux/docker/Dockerfile.package_ubuntu_2004_gpu

@@ -10,7 +10,7 @@ ARG TRT_VERSION=10.6.0.26-1+cuda11.8
 ARG LD_LIBRARY_PATH_ARG=/usr/local/lib64:/usr/local/cuda/lib64
 FROM $BASEIMAGE AS base
 ARG TRT_VERSION
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${PATH}
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${PATH}
 ENV DEBIAN_FRONTEND=noninteractive
 
 ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH_ARG}:${LD_LIBRARY_PATH}

tools/ci_build/github/linux/docker/Dockerfile.package_ubuntu_2004_gpu_ffmpeg

@@ -10,7 +10,7 @@ ARG TRT_VERSION=10.6.0.26-1+cuda11.8
 ARG LD_LIBRARY_PATH_ARG=/usr/local/lib64:/usr/local/cuda/lib64
 FROM $BASEIMAGE AS base
 ARG TRT_VERSION
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${PATH}
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${PATH}
 ENV DEBIAN_FRONTEND=noninteractive
 
 ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH_ARG}:${LD_LIBRARY_PATH}

tools/ci_build/github/linux/docker/Dockerfile.ubuntu_cuda11_8_tensorrt8_6

@@ -10,7 +10,7 @@ FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04 AS base
 # The local directory into which to build and install CMAKE
 ARG ONNXRUNTIME_LOCAL_CODE_DIR=/code
 
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${ONNXRUNTIME_LOCAL_CODE_DIR}/cmake-3.30.1-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${ONNXRUNTIME_LOCAL_CODE_DIR}/cmake-3.30.1-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
 ENV DEBIAN_FRONTEND=noninteractive
 
 RUN apt-get update &&\
@@ -82,7 +82,7 @@ RUN if [ -z "$ONNXRUNTIME_COMMIT_ID" ] ; then echo "Building branch ${ONNXRUNTIM
     git reset --hard ${ONNXRUNTIME_COMMIT_ID} && git submodule update --recursive ; fi
 
 # Build ORT
-ENV CUDA_MODULE_LOADING "LAZY" 
+ENV CUDA_MODULE_LOADING="LAZY"
 ARG PARSER_CONFIG=""
 RUN /bin/sh build.sh ${PARSER_CONFIG} --parallel --build_shared_lib --cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt --tensorrt_home /usr/lib/x86_64-linux-gnu/ --config Release --build_wheel --skip_tests --skip_submodule_sync --cmake_extra_defines '"CMAKE_CUDA_ARCHITECTURES='${CMAKE_CUDA_ARCHITECTURES}'"'
 

tools/ci_build/github/linux/docker/Dockerfile.ubuntu_cuda11_tensorrt10

@@ -10,7 +10,7 @@ FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04 AS base
 # The local directory into which to build and install CMAKE
 ARG ONNXRUNTIME_LOCAL_CODE_DIR=/code
 
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${ONNXRUNTIME_LOCAL_CODE_DIR}/cmake-3.30.1-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${ONNXRUNTIME_LOCAL_CODE_DIR}/cmake-3.30.1-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
 ENV DEBIAN_FRONTEND=noninteractive
 
 RUN apt-get update &&\
@@ -98,7 +98,7 @@ RUN if [ -z "$ONNXRUNTIME_COMMIT_ID" ] ; then echo "Building branch ${ONNXRUNTIM
     git reset --hard ${ONNXRUNTIME_COMMIT_ID} && git submodule update --recursive ; fi
 
 # Build ORT
-ENV CUDA_MODULE_LOADING "LAZY"
+ENV CUDA_MODULE_LOADING="LAZY"
 ARG PARSER_CONFIG=""
 RUN /bin/sh build.sh ${PARSER_CONFIG} --parallel --build_shared_lib --cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt --tensorrt_home /usr/lib/x86_64-linux-gnu/ --config Release --build_wheel --skip_tests --skip_submodule_sync --cmake_extra_defines '"CMAKE_CUDA_ARCHITECTURES='${CMAKE_CUDA_ARCHITECTURES}'"'
 

tools/ci_build/github/linux/docker/Dockerfile.ubuntu_cuda12_3_tensorrt8_6

@@ -10,7 +10,7 @@ FROM nvidia/cuda:12.3.1-devel-ubuntu20.04 AS base
 # The local directory into which to build and install CMAKE
 ARG ONNXRUNTIME_LOCAL_CODE_DIR=/code
 
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${ONNXRUNTIME_LOCAL_CODE_DIR}/cmake-3.30.1-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${ONNXRUNTIME_LOCAL_CODE_DIR}/cmake-3.30.1-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
 ENV DEBIAN_FRONTEND=noninteractive
 
 RUN apt-get update &&\
@@ -85,7 +85,7 @@ RUN if [ -z "$ONNXRUNTIME_COMMIT_ID" ] ; then echo "Building branch ${ONNXRUNTIM
     git reset --hard ${ONNXRUNTIME_COMMIT_ID} && git submodule update --recursive ; fi
 
 # Build ORT
-ENV CUDA_MODULE_LOADING "LAZY" 
+ENV CUDA_MODULE_LOADING="LAZY"
 ARG PARSER_CONFIG=""
 RUN /bin/sh build.sh ${PARSER_CONFIG} --parallel --build_shared_lib --cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt --tensorrt_home /usr/lib/x86_64-linux-gnu/ --config Release --build_wheel --skip_tests --skip_submodule_sync --cmake_extra_defines '"CMAKE_CUDA_ARCHITECTURES='${CMAKE_CUDA_ARCHITECTURES}'"'
 

tools/ci_build/github/linux/docker/Dockerfile.ubuntu_cuda12_tensorrt10

@@ -10,7 +10,7 @@ FROM nvidia/cuda:12.5.1-cudnn-devel-ubuntu20.04 AS base
 # The local directory into which to build and install CMAKE
 ARG ONNXRUNTIME_LOCAL_CODE_DIR=/code
 
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${ONNXRUNTIME_LOCAL_CODE_DIR}/cmake-3.30.1-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${ONNXRUNTIME_LOCAL_CODE_DIR}/cmake-3.30.1-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
 ENV DEBIAN_FRONTEND=noninteractive
 
 RUN apt-get update &&\
@@ -98,7 +98,7 @@ RUN if [ -z "$ONNXRUNTIME_COMMIT_ID" ] ; then echo "Building branch ${ONNXRUNTIM
     git reset --hard ${ONNXRUNTIME_COMMIT_ID} && git submodule update --recursive ; fi
 
 # Build ORT
-ENV CUDA_MODULE_LOADING "LAZY"
+ENV CUDA_MODULE_LOADING="LAZY"
 ARG PARSER_CONFIG=""
 RUN /bin/sh build.sh ${PARSER_CONFIG} --parallel --build_shared_lib --cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt --tensorrt_home /usr/lib/x86_64-linux-gnu/ --config Release --build_wheel --skip_tests --skip_submodule_sync --cmake_extra_defines '"CMAKE_CUDA_ARCHITECTURES='${CMAKE_CUDA_ARCHITECTURES}'"'
 

tools/ci_build/github/linux/docker/Dockerfile.ubuntu_openvino

@@ -12,10 +12,10 @@ RUN /tmp/scripts/install_python_deps.sh -p $PYTHON_VERSION -d EdgeDevice
 RUN apt update && apt install -y libnuma1 ocl-icd-libopencl1 && \
     rm -rf /var/lib/apt/lists/* /tmp/scripts
 
-ENV INTEL_OPENVINO_DIR /opt/intel/openvino_${OPENVINO_VERSION}
-ENV LD_LIBRARY_PATH $INTEL_OPENVINO_DIR/runtime/lib/intel64:$INTEL_OPENVINO_DIR/runtime/3rdparty/tbb/lib:/usr/local/openblas/lib:$LD_LIBRARY_PATH
-ENV OpenVINO_DIR $INTEL_OPENVINO_DIR/runtime/cmake
-ENV IE_PLUGINS_PATH $INTEL_OPENVINO_DIR/runtime/lib/intel64
+ENV INTEL_OPENVINO_DIR=/opt/intel/openvino_${OPENVINO_VERSION}
+ENV LD_LIBRARY_PATH=$INTEL_OPENVINO_DIR/runtime/lib/intel64:$INTEL_OPENVINO_DIR/runtime/3rdparty/tbb/lib:/usr/local/openblas/lib:$LD_LIBRARY_PATH
+ENV OpenVINO_DIR=$INTEL_OPENVINO_DIR/runtime/cmake
+ENV IE_PLUGINS_PATH=$INTEL_OPENVINO_DIR/runtime/lib/intel64
 ENV DEBIAN_FRONTEND=noninteractive
 
 RUN cd /opt && mkdir -p intel && cd intel && \

tools/ci_build/github/linux/docker/Dockerfile.ubuntu_tensorrt_bin

@@ -10,7 +10,7 @@ FROM nvidia/cuda:12.5.1-cudnn-devel-ubuntu20.04 AS base
 # The local directory into which to build and install CMAKE
 ARG ONNXRUNTIME_LOCAL_CODE_DIR=/code
 
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${ONNXRUNTIME_LOCAL_CODE_DIR}/cmake-3.30.1-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${ONNXRUNTIME_LOCAL_CODE_DIR}/cmake-3.30.1-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
 ENV DEBIAN_FRONTEND=noninteractive
 
 RUN apt-get update &&\
@@ -92,7 +92,7 @@ RUN if [ -z "$ONNXRUNTIME_COMMIT_ID" ] ; then echo "Building branch ${ONNXRUNTIM
     git reset --hard ${ONNXRUNTIME_COMMIT_ID} && git submodule update --recursive ; fi
 
 # Build ORT
-ENV CUDA_MODULE_LOADING "LAZY" 
+ENV CUDA_MODULE_LOADING="LAZY"
 ARG PARSER_CONFIG=""
 RUN /bin/sh build.sh ${PARSER_CONFIG} --parallel --build_shared_lib --cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt --tensorrt_home /usr/lib/x86_64-linux-gnu/ --config Release --build_wheel --skip_tests --skip_submodule_sync --cmake_extra_defines '"CMAKE_CUDA_ARCHITECTURES='${CMAKE_CUDA_ARCHITECTURES}'"'
 

tools/ci_build/github/linux/docker/inference/x86_64/default/cuda11/Dockerfile

@@ -31,11 +31,11 @@ else \
     echo "TRT_VERSION is none skipping Tensor RT Installation" ; \
 fi
 
-ENV PATH /usr/lib/jvm/msopenjdk-11/bin:$PATH
+ENV PATH=/usr/lib/jvm/msopenjdk-11/bin:$PATH
 ENV LANG=en_US.UTF-8
 ENV LC_ALL=en_US.UTF-8
 ENV JAVA_HOME=/usr/lib/jvm/msopenjdk-11
-ENV CUDAHOSTCXX /opt/rh/gcc-toolset-11/root/usr/bin/g++
+ENV CUDAHOSTCXX=/opt/rh/gcc-toolset-11/root/usr/bin/g++
 ADD scripts /tmp/scripts
 RUN cd /tmp/scripts && /tmp/scripts/install_deps.sh && rm -rf /tmp/scripts
 

tools/ci_build/github/linux/docker/inference/x86_64/default/cuda12/Dockerfile

@@ -35,11 +35,11 @@ fi
 ENV LANG=en_US.UTF-8
 ENV LC_ALL=en_US.UTF-8
 
-ENV CUDAHOSTCXX /opt/rh/gcc-toolset-12/root/usr/bin/g++
+ENV CUDAHOSTCXX=/opt/rh/gcc-toolset-12/root/usr/bin/g++
 ADD scripts /tmp/scripts
 RUN sed -i 's/enabled\s*=\s*1/enabled = 1\nexclude=dotnet* aspnet* netstandard*/g' /etc/yum.repos.d/ubi.repo && \
 	rpm -Uvh https://packages.microsoft.com/config/centos/8/packages-microsoft-prod.rpm && dnf install -y msopenjdk-11 && cd /tmp/scripts && /tmp/scripts/install_deps.sh && rm -rf /tmp/scripts
-ENV PATH /usr/lib/jvm/msopenjdk-11/bin:$PATH
+ENV PATH=/usr/lib/jvm/msopenjdk-11/bin:$PATH
 ENV JAVA_HOME=/usr/lib/jvm/msopenjdk-11
 ARG BUILD_UID=1001
 ARG BUILD_USER=onnxruntimedev

tools/ci_build/github/linux/docker/inference/x86_64/python/cuda/Dockerfile

@@ -32,8 +32,8 @@ else \
     echo "TRT_VERSION is x${TRT_VERSION} skipping Tensor RT Installation" ; \
 fi
 
-ENV PATH /usr/local/cuda/bin:$PATH
-ENV CUDA_MODULE_LOADING "LAZY"
+ENV PATH=/usr/local/cuda/bin:$PATH
+ENV CUDA_MODULE_LOADING="LAZY"
 
 ADD scripts /tmp/scripts
 RUN cd /tmp/scripts && /tmp/scripts/install_centos.sh && rm -rf /tmp/scripts