feat: NGC+ Image Template

.circleci/config.yml

@@ -188,20 +188,21 @@ workflows:
               with-mpi: [0, 1]
               image-type:
                 - tf2-cpu
-                - tf28-cpu
                 - pt-cpu
                 - pt2-cpu
                 - tf2-gpu
-                - tf28-gpu
                 - pt-gpu
                 - pt2-gpu
+                - tensorflow-ngc
                 - pytorch13-tf210-rocm56
                 - pytorch20-tf210-rocm56
             exclude:
               - with-mpi: 1
-                image-type: 
-                  - pytorch13-tf210-rocm56
-                  - pytorch20-tf210-rocm56
+                image-type: pytorch13-tf210-rocm56
+              - with-mpi: 1
+                image-type: pytorch20-tf210-rocm56
+              - with-mpi: 1
+                image-type: tensorflow-ngc
       - build-and-publish-docker:
           name: build-and-publish-docker-<<matrix.image-type>>-<<matrix.with-mpi>>
           context: determined-production
@@ -219,8 +220,9 @@ workflows:
                 - gpu.nvidia.small.multi
               with-mpi: [0]
               image-type:
-                - deepspeed-gpu
-                - gpt-neox-deepspeed-gpu
+                - deepspeed
+                - gpt-neox-deepspeed
+                - pytorch-ngc
       - publish-cloud-images:
           context: determined-production
           filters:
@@ -253,21 +255,24 @@ workflows:
               with-mpi: [0, 1]
               image-type:
                 - tf2-cpu
-                - tf28-cpu
                 - pt-cpu
                 - pt2-cpu
                 - tf2-gpu
-                - tf28-gpu
                 - pt-gpu
                 - pt2-gpu
+                - tensorflow-ngc
                 - pytorch13-tf210-rocm56
                 - pytorch20-tf210-rocm56
             exclude:
               - dev-mode: true
                 with-mpi: 1
-                image-type: 
-                  - pytorch13-tf210-rocm56
-                  - pytorch20-tf210-rocm56
+                image-type: pytorch13-tf210-rocm56
+              - dev-mode: true
+                with-mpi: 1
+                image-type: pytorch20-tf210-rocm56
+              - dev-mode: true
+                with-mpi: 1
+                image-type: tensorflow-ngc
 
       - build-and-publish-docker:
           name: build-and-publish-docker-<<matrix.image-type>>-<<matrix.with-mpi>>-dev
@@ -287,8 +292,9 @@ workflows:
                 - gpu.nvidia.small.multi
               with-mpi: [0]
               image-type:
-                - deepspeed-gpu
-                - gpt-neox-deepspeed-gpu
+                - deepspeed
+                - gpt-neox-deepspeed
+                - pytorch-ngc
 
       - publish-cloud-images:
           name: publish-cloud-images-dev

Dockerfile-base-cpu

@@ -4,41 +4,10 @@ ARG UBUNTU_VERSION
 RUN rm -f /etc/apt/sources.list.d/*
 ENV LANG=C.UTF-8 LC_ALL=C.UTF-8 PIP_NO_CACHE_DIR=1
 
-RUN mkdir -p /var/run/sshd
-RUN apt-get update \
-	&& DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
-		autoconf \
-		automake \
-		autotools-dev \
-		build-essential \
-		ca-certificates \
-		curl \
-		daemontools \
-		libkrb5-dev \
-		libssl-dev \
-		libtool \
-		git \
-		krb5-user \
-		g++ \
-		cmake \
-		make \
-		openssh-client \
-		openssh-server \
-		pkg-config \
-		wget \
-		nfs-common \
-                libnuma1 \
-                libnuma-dev \
-                libpmi2-0-dev \
-		unattended-upgrades \
-	&& unattended-upgrade \
-	&& rm -rf /var/lib/apt/lists/* \
-	&& rm /etc/ssh/ssh_host_ecdsa_key \
-	&& rm /etc/ssh/ssh_host_ed25519_key \
-	&& rm /etc/ssh/ssh_host_rsa_key
-
 COPY dockerfile_scripts /tmp/det_dockerfile_scripts
 
+RUN /tmp/det_dockerfile_scripts/install_deb_packages.sh
+
 ENV PATH="/opt/conda/bin:${PATH}"
 ARG CONDA="${PATH}"
 ENV PYTHONUNBUFFERED=1 PYTHONFAULTHANDLER=1 PYTHONHASHSEED=0
@@ -84,8 +53,6 @@ ENV PATH=${PATH:-$CONDA:${WITH_MPI:+$UCX_PATH_DIR:$OMPI_PATH_DIR}}
 ENV OMPI_ALLOW_RUN_AS_ROOT ${WITH_MPI:+1}
 ENV OMPI_ALLOW_RUN_AS_ROOT_CONFIRM ${WITH_MPI:+1}
 
-
-
 # We uninstall these packages after installing. This ensures that we can
 # successfully install these packages into containers running as non-root.
 # `pip` does not uninstall dependencies, so we still have all the dependencies

Dockerfile-base-gpu

@@ -7,45 +7,11 @@ ENV LANG=C.UTF-8 LC_ALL=C.UTF-8 PIP_NO_CACHE_DIR=1
 # We need to create sym links for the Slurm PMI headers if we are using 
 # Ubuntu 18.04 because they are not installed in a standard location.
 ARG UBUNTU_VERSION
-RUN mkdir -p /var/run/sshd
-RUN apt-get update \
-	&& DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
-		autoconf \
-		automake \
-		autotools-dev \
-		build-essential \
-		ca-certificates \
-		curl \
-		daemontools \
-		ibverbs-providers \
-		libibverbs1 \
-		libkrb5-dev \
-		librdmacm1 \
-		libssl-dev \
-		libtool \
-		git \
-		krb5-user \
-		g++ \
-		cmake \
-		make \
-		openssh-client \
-		openssh-server \
-		pkg-config \
-		wget \
-		nfs-common \
-                libnuma1 \
-                libnuma-dev \
-                libpmi2-0-dev \
-		unattended-upgrades \
-	&& unattended-upgrade \
-	&& rm -rf /var/lib/apt/lists/* \
-	&& rm /etc/ssh/ssh_host_ecdsa_key \
-	&& rm /etc/ssh/ssh_host_ed25519_key \
-	&& rm /etc/ssh/ssh_host_rsa_key \
-        && if [ "$UBUNTU_VERSION" = "ubuntu18.04" ]; then ln -s /usr/include/slurm-wlm /usr/include/slurm; fi
 
 COPY dockerfile_scripts /tmp/det_dockerfile_scripts
 
+RUN /tmp/det_dockerfile_scripts/install_deb_packages.sh
+
 ARG WITH_NCCL
 # Install debuild util, etc. for later compiling GDRcopy libraries
 RUN if [ "$WITH_NCCL" = "1" ]; then apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y devscripts debhelper; fi

Dockerfile-default-cpu

@@ -10,15 +10,16 @@ ARG TENSORFLOW_PIP
 ARG TORCH_PIP
 ARG TORCHVISION_PIP
 RUN if [ "$TENSORFLOW_PIP" ]; then \
-		export HOROVOD_WITH_TENSORFLOW=1 && \
+        export HOROVOD_WITH_TENSORFLOW=1 && \
         if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
             TENSORFLOW_AARCH64_PIP=$(printf '%s' "$TENSORFLOW_PIP" | sed 's/cpu/aarch64/') \
             && pip install $TENSORFLOW_AARCH64_PIP; \
         else \
             pip install $TENSORFLOW_PIP; \
         fi; \
-	else \
-		export HOROVOD_WITH_TENSORFLOW=0; \
+        pip install -r /tmp/det_dockerfile_scripts/additional-requirements-tf.txt; \
+    else \
+        export HOROVOD_WITH_TENSORFLOW=0; \
     fi
 RUN if [ "$TORCH_PIP" ]; then \
         if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
@@ -27,15 +28,10 @@ RUN if [ "$TORCH_PIP" ]; then \
         else \
             pip install $TORCH_PIP; \
         fi; \
+        pip install -r /tmp/det_dockerfile_scripts/additional-requirements-torch.txt; \
     fi
 RUN if [ "$TORCHVISION_PIP" ]; then pip install $TORCHVISION_PIP; fi
 
-ARG TORCH_TB_PROFILER_PIP
-RUN if [ "$TORCH_TB_PROFILER_PIP" ]; then pip install $TORCH_TB_PROFILER_PIP; fi
-
-ARG TF_PROFILER_PIP
-RUN if [ "$TF_PROFILER_PIP" ]; then python -m pip install $TF_PROFILER_PIP; fi
-
 ARG HOROVOD_WITH_TENSORFLOW
 RUN if [ "$HOROVOD_WITH_TENSORFLOW" ]; then export HOROVOD_WITH_TENSORFLOW=$HOROVOD_WITH_TENSORFLOW; fi
 

Dockerfile-default-gpu

@@ -27,23 +27,21 @@ ARG TORCH_PIP
 ARG TORCHVISION_PIP
 
 RUN if [ "$TENSORFLOW_PIP" ]; then \
-		export HOROVOD_WITH_TENSORFLOW=1 \
-		&& python -m pip install $TENSORFLOW_PIP; \
-	else \
-		export HOROVOD_WITH_TENSORFLOW=0; \
-	fi
-RUN if [ "$TORCH_PIP" ]; then python -m pip install $TORCH_PIP; fi
+        export HOROVOD_WITH_TENSORFLOW=1 \
+        && python -m pip install $TENSORFLOW_PIP \
+        && python -m pip install -r /tmp/det_dockerfile_scripts/additional-requirements-tf.txt; \
+    else \
+        export HOROVOD_WITH_TENSORFLOW=0; \
+    fi
+RUN if [ "$TORCH_PIP" ]; then  \
+        python -m pip install $TORCH_PIP \
+        && python -m pip install -r /tmp/det_dockerfile_scripts/additional-requirements-torch.txt; \
+    fi
 RUN if [ "$TORCHVISION_PIP" ]; then python -m pip install $TORCHVISION_PIP; fi
 
 ARG TF_CUDA_SYM
 RUN if [ "$TF_CUDA_SYM" ]; then ln -s /usr/local/cuda/lib64/libcusolver.so.11 /opt/conda/lib/python3.8/site-packages/tensorflow/python/libcusolver.so.10; fi
 
-ARG TORCH_TB_PROFILER_PIP
-RUN if [ "$TORCH_TB_PROFILER_PIP" ]; then python -m pip install $TORCH_TB_PROFILER_PIP; fi
-
-ARG TF_PROFILER_PIP
-RUN if [ "$TF_PROFILER_PIP" ]; then python -m pip install $TF_PROFILER_PIP; fi
-
 ARG TORCH_CUDA_ARCH_LIST
 ARG APEX_GIT
 RUN /tmp/det_dockerfile_scripts/install_apex.sh

Dockerfile-ngc-hpc

@@ -0,0 +1,24 @@
+ARG BASE_IMAGE
+FROM ${BASE_IMAGE}
+
+# Copy various shell scripts that group dependencies for install
+COPY dockerfile_scripts /tmp/det_dockerfile_scripts
+
+ARG AWS_PLUGIN_INSTALL_DIR=/container/aws
+ARG WITH_AWS_TRACE
+ARG INTERNAL_AWS_DS
+ARG INTERNAL_AWS_PATH
+RUN if [ "$WITH_OFI" = "1" ]; then /tmp/det_dockerfile_scripts/build_aws.sh "$WITH_OFI" "$WITH_AWS_TRACE"; fi
+
+#USING OFI
+ARG AWS_LIB_DIR=${AWS_PLUGIN_INSTALL_DIR}/lib
+ENV LD_LIBRARY_PATH=${WITH_OFI:+$AWS_LIB_DIR:}$LD_LIBRARY_PATH
+
+# Set an entrypoint that can scrape up the host libfabric.so and then
+# run the user command. This is intended to enable performant execution
+# on non-IB systems that have a proprietary libfabric.
+RUN mkdir -p /container/bin && \
+    cp /tmp/det_dockerfile_scripts/scrape_libs.sh /container/bin
+ENTRYPOINT ["/container/bin/scrape_libs.sh"]
+
+RUN rm -r /tmp/*

Dockerfile-pytorch-ngc

@@ -0,0 +1,34 @@
+ARG BASE_IMAGE
+FROM ${BASE_IMAGE}
+
+# NGC images contain user owned files in /usr/lib
+RUN chown root:root /usr/lib
+
+# Copy various shell scripts that group dependencies for install
+COPY dockerfile_scripts /tmp/det_dockerfile_scripts
+
+RUN /tmp/det_dockerfile_scripts/install_deb_packages.sh
+RUN /tmp/det_dockerfile_scripts/add_det_nobody_user.sh
+RUN /tmp/det_dockerfile_scripts/install_libnss_determined.sh
+
+# We uninstall these packages after installing. This ensures that we can
+# successfully install these packages into containers running as non-root.
+# `pip` does not uninstall dependencies, so we still have all the dependencies
+# installed.
+RUN python -m pip install determined && python -m pip uninstall -y determined
+
+RUN python -m pip install  \
+    -r /tmp/det_dockerfile_scripts/additional-requirements-torch.txt \
+    -r /tmp/det_dockerfile_scripts/additional-requirements.txt \
+    -r /tmp/det_dockerfile_scripts/notebook-requirements.txt
+
+ENV JUPYTER_CONFIG_DIR=/run/determined/jupyter/config
+ENV JUPYTER_DATA_DIR=/run/determined/jupyter/data
+ENV JUPYTER_RUNTIME_DIR=/run/determined/jupyter/runtime
+
+RUN /tmp/det_dockerfile_scripts/install_google_cloud_sdk.sh
+
+ENV DEEPSPEED_PIP="deepspeed==0.13.0"
+RUN /tmp/det_dockerfile_scripts/install_deepspeed.sh
+
+RUN rm -r /tmp/*

Dockerfile-tensorflow-ngc

@@ -0,0 +1,31 @@
+ARG BASE_IMAGE
+FROM ${BASE_IMAGE}
+
+# NGC images contain user owned files in /usr/lib
+RUN chown root:root /usr/lib
+
+# Copy various shell scripts that group dependencies for install
+COPY dockerfile_scripts /tmp/det_dockerfile_scripts
+
+RUN /tmp/det_dockerfile_scripts/install_deb_packages.sh
+RUN /tmp/det_dockerfile_scripts/add_det_nobody_user.sh
+RUN /tmp/det_dockerfile_scripts/install_libnss_determined.sh
+
+# We uninstall these packages after installing. This ensures that we can
+# successfully install these packages into containers running as non-root.
+# `pip` does not uninstall dependencies, so we still have all the dependencies
+# installed.
+RUN python -m pip install determined && python -m pip uninstall -y determined
+
+RUN python -m pip install  \
+    -r /tmp/det_dockerfile_scripts/additional-requirements-tf.txt \
+    -r /tmp/det_dockerfile_scripts/additional-requirements.txt \
+    -r /tmp/det_dockerfile_scripts/notebook-requirements.txt
+
+ENV JUPYTER_CONFIG_DIR=/run/determined/jupyter/config
+ENV JUPYTER_DATA_DIR=/run/determined/jupyter/data
+ENV JUPYTER_RUNTIME_DIR=/run/determined/jupyter/runtime
+
+RUN /tmp/det_dockerfile_scripts/install_google_cloud_sdk.sh
+
+RUN rm -r /tmp/*