Add GPU/Device Support and Fix Symlink Deduplication Issues

examples/nvidia_runtime/Dockerfile

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+FROM nvcr.io/nvidia/pytorch:25.04-py3
+
+# Add the tests to the entrypoint set. Docker Slim only traces/monitors the processes started by the entrypoint.
+RUN echo "pytest /opt/pytorch/pytorch/test/test_cuda.py::TestCuda::test_graph_cudnn_dropout" > /opt/nvidia/entrypoint.d/99-trace.sh
+RUN chmod +x /opt/nvidia/entrypoint.d/99-trace.sh
+

examples/nvidia_runtime/README.md

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+
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# 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.
+As a pre-requisite, install nvidia-container toolkit, including adding the nvidia runtime. Then you should be able to translate runtime and capabilities from a OCI/Docker string like `--runtime=nvidia --gpus all` to `--cro-device-request '{"Count":-1, "Capabilities":[["gpu"]]}' --cro-runtime nvidia`
+
+See the example `test_nvidia_smi.sh`, which slims ubuntu to just the files necessary to run the runtime mounted nvidia-smi. Similarly, see `test_nvidia_pytorch.sh` which minimizes nvidia-pytorch to run a subset of the CUDA tests.
+

examples/nvidia_runtime/test_nvidia_pytorch.sh

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+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# 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.
+
+# Create host config file with ulimit settings and capabilities
+cat > host-config.json <<'EOF'
+{
+  "IpcMode": "host",
+  "CapAdd": ["SYS_ADMIN"],
+  "Ulimits": [
+    {
+      "Name": "memlock",
+      "Soft": -1,
+      "Hard": -1
+    },
+    {
+      "Name": "stack",
+      "Soft": 67108864,
+      "Hard": 67108864
+    },
+    {
+      "Name": "nofile",
+      "Soft": 1048576,
+      "Hard": 1048576
+    }
+  ]
+}
+EOF
+
+# Build the slim image
+# CAP_SYS_ADMIN is added via host-config.json for fanotify support (required for filesystem monitoring)
+# Build custom image with test in entrypoint first
+echo "Building custom test image with pytest in entrypoint..."
+docker build -t nvcr.io/nvidia/pytorch:25.04-py3-test -f Dockerfile .
+
+echo "Running docker-slim on the test image..."
+docker-slim build \
+  --target nvcr.io/nvidia/pytorch:25.04-py3-test \
+  --tag nvcr.io/nvidia/pytorch:25.04-py3-slim \
+  --cro-host-config-file host-config.json \
+  --cro-shm-size 1200 \
+  --cro-device-request '{"Count":-1, "Capabilities":[["gpu"]]}' \
+  --cro-runtime nvidia \
+  --http-probe=false \
+  --continue-after 10 \
+  --preserve-path /etc/ld.so.conf \
+  --preserve-path /etc/ld.so.conf.d \
+  .
+
+# Get output of original and slim images stored in a log file
+echo "Running original image..."
+docker run --rm --runtime nvidia --gpus all nvcr.io/nvidia/pytorch:25.04-py3-test > original_log.txt 2>&1
+echo "Running slim image..."
+docker run --rm --runtime nvidia --gpus all nvcr.io/nvidia/pytorch:25.04-py3-slim > slim_log.txt 2>&1
+
+# Verify that both logs contain the pytest success message (ignoring timing)
+echo "Checking test results..."
+
+# Look for "X passed" pattern in both logs
+original_passed=$(grep -oE "[0-9]+ passed" original_log.txt | head -1)
+slim_passed=$(grep -oE "[0-9]+ passed" slim_log.txt | head -1)
+
+if [ -z "$original_passed" ]; then
+    echo "Error: Original image test did not pass"
+    echo "Original log tail:"
+    tail -20 original_log.txt
+    exit 1
+fi
+
+if [ -z "$slim_passed" ]; then
+    echo "Error: Slim image test did not pass"
+    echo "Slim log tail:"
+    tail -20 slim_log.txt
+    exit 1
+fi
+
+echo "Original image: $original_passed"
+echo "Slim image: $slim_passed"
+
+if [ "$original_passed" = "$slim_passed" ]; then
+    echo "SUCCESS: Both images passed the same number of tests!"
+else
+    echo "Warning: Different number of tests passed (original: $original_passed, slim: $slim_passed)"
+fi
+
+echo "Successfully minimized nvidia-pytorch to run a subset of the CUDA tests"

examples/nvidia_runtime/test_nvidia_smi.sh

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+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# 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.
+
+# Build the slim image
+docker-slim build --target ubuntu:24.04 --tag ubuntu:24.04-slim   --cro-shm-size 1200 --cro-device-request '{"Count":-1, "Capabilities":[["gpu"]]}' --cro-runtime nvidia --http-probe=false --exec "/usr/bin/nvidia-smi" .
+
+# Get output of original and slim images stored in a log file
+docker run --rm --runtime nvidia --gpus all ubuntu:24.04 nvidia-smi > original_log.txt
+docker run --rm --runtime nvidia --gpus all ubuntu:24.04-slim nvidia-smi > slim_log.txt
+
+# verify that both logs include the nvidia-smi output with an assert
+assert_contains() {
+    if ! grep -q "$1" "$2"; then
+        echo "Error: '$1' not found in $2"
+        exit 1
+    fi
+}
+
+# verify that both logs include the nvidia-smi output with an assert
+assert_contains "NVIDIA-SMI" original_log.txt
+assert_contains "NVIDIA-SMI" slim_log.txt
+