fix: rebase conflicts: brev: floating-point-emulation

Author: cole-brower

tutorials/floating-point-emulation/brev/docker-compose.yml

@@ -5,6 +5,7 @@ x-config:
   image: &image ghcr.io/nvidia/floating-point-emulation-tutorial:latest
   working-dir: &working-dir /accelerated-computing-hub/tutorials/floating-point-emulation/notebooks
   large: &large true
+  default-jupyter-url: &default-jupyter-url
   gpu-config: &gpu-config
     privileged: true
     ulimits:
@@ -27,6 +28,9 @@ x-config:
       BREV_ENV_ID: ${BREV_ENV_ID:-}
       ACH_TUTORIAL: *tutorial-name
       ACH_RUN_TESTS: ${ACH_RUN_TESTS:-}
+      ACH_USER: ${ACH_USER:-ach}
+      ACH_UID: ${ACH_UID:-1000}
+      ACH_GID: ${ACH_GID:-1000}
     user: root
     working_dir: *working-dir
   persistent-service: &persistent-service
@@ -39,23 +43,25 @@ services:
   base:
     <<: [*gpu-config, *common-service]
     image: *image
-    entrypoint: ["/accelerated-computing-hub/brev/base-start.bash"]
+    entrypoint: ["/accelerated-computing-hub/brev/entrypoint.bash", "base"]
     build:
       context: ../../..
       dockerfile: *dockerfile
     restart: "no"
   jupyter:
     <<: [*gpu-config, *common-service, *persistent-service]
     image: *image
+    entrypoint: ["/accelerated-computing-hub/brev/entrypoint.bash", "jupyter"]
+    command: *default-jupyter-url
     ports:
-      - "0.0.0.0:8888:8888" # JupyterLab
+      - "127.0.0.1:8888:8888" # JupyterLab
   nsight:
     <<: [*gpu-config, *common-service, *persistent-service]
     image: nvcr.io/nvidia/devtools/nsight-streamer-nsys:2025.3.1
-    entrypoint: ["/accelerated-computing-hub/brev/nsight-start.bash"]
+    entrypoint: ["/accelerated-computing-hub/brev/entrypoint.bash", "nsight"]
     ports:
-      - "0.0.0.0:8080:8080" # HTTP
-      - "0.0.0.0:3478:3478" # TURN
+      - "127.0.0.1:8080:8080" # HTTP
+      - "127.0.0.1:3478:3478" # TURN
 
 volumes:
   accelerated-computing-hub:

tutorials/floating-point-emulation/brev/dockerfile

@@ -1,16 +1,12 @@
-FROM ubuntu:24.04 AS artifacts
-
-COPY . /accelerated-computing-hub
-# RUN find /accelerated-computing-hub/tutorials \
-#     -mindepth 1 -maxdepth 1 -type d -not -name "floating-point-emulation" \
-#     -exec rm -rf {} +
-# RUN rm -rf /accelerated-computing-hub/.git
-
 FROM nvidia/cuda:13.1.0-base-ubuntu24.04
 
+ENV PIP_ROOT_USER_ACTION=ignore \
+    ACH_TUTORIAL=floating-point-emulation \
+    BASH_ENV=/accelerated-computing-hub/brev/user-setup.bash
+
 # Install CUDA Toolkit + build tools
 RUN apt update -y \
-    && apt install -y wget curl gnupg lsb-release \
+    && apt install -y --no-install-recommends wget curl gnupg gosu lsb-release sudo \
     && wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | gpg --dearmor - | tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null \
     && echo 'deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ noble main' | tee /etc/apt/sources.list.d/kitware.list >/dev/null \
     && curl -fsSL https://download.docker.com/linux/ubuntu/gpg | gpg --dearmor -o /etc/apt/keyrings/docker.gpg \
@@ -44,8 +40,7 @@ RUN wget https://developer.nvidia.com/downloads/compute/cublasdx/redist/cublasdx
 
 # Install python
 RUN python -m venv /opt/venv
-ENV ACH_TUTORIAL=floating-point-emulation \
-    CUDA_PATH=/usr/local/cuda-13.1 \
+ENV CUDA_PATH=/usr/local/cuda-13.1 \
     PATH="/opt/venv/bin:$PATH" \
     LD_LIBRARY_PATH="/opt/nvidia/libmathdx/lib:$LD_LIBRARY_PATH"
 
@@ -64,12 +59,26 @@ RUN set -ex \
      && ln -fs /accelerated-computing-hub/brev/ipython-startup-add-cwd-to-path.py ~/.ipython/profile_default/startup/00-add-cwd-to-path.py \
      && python -m jupyter labextension disable "@jupyterlab/apputils-extension:announcements"
 
-COPY --from=artifacts /accelerated-computing-hub /accelerated-computing-hub
+# Enable passwordless sudo for all users and pass through environment and path
+RUN echo 'ALL ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers \
+ && sed -i -e 's/^Defaults\s*env_reset/#&/' -e 's/^Defaults\s*secure_path=/#&/' /etc/sudoers
+
+COPY . /accelerated-computing-hub
+
+# Ensure accelerated-computing-hub directory is writable by any user and setup shell initialization
+RUN chmod -R a+rwX /accelerated-computing-hub \
+ && mkdir -p /accelerated-computing-hub/logs \
+ && chmod 777 /accelerated-computing-hub/logs \
+ && ln -s /accelerated-computing-hub/brev/user-setup.bash /etc/profile.d/ach-user-setup.sh \
+ && echo 'source /accelerated-computing-hub/brev/user-setup.bash' >> /etc/bash.bashrc
 
 WORKDIR /accelerated-computing-hub/tutorials/${ACH_TUTORIAL}/notebooks
 
 # Setup Git.
 RUN git config --unset-all "http.https://github.com/.extraheader" || { code=$?; [ "$code" = 5 ] || exit "$code"; } \
  && git config --global --add safe.directory "/accelerated-computing-hub"
 
-ENTRYPOINT ["/accelerated-computing-hub/brev/jupyter-start.bash"]
+# Set default user to ach (can be overriden with docker run --user)
+USER ach
+
+ENTRYPOINT ["/accelerated-computing-hub/brev/entrypoint.bash", "jupyter"]

tutorials/floating-point-emulation/notebooks/01-Introduction/01-Introduction.ipynb

@@ -99,6 +99,12 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "gpuType": "T4",
+   "provenance": [],
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
@@ -114,7 +120,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.12"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,

tutorials/floating-point-emulation/notebooks/02-Matmul-Fundamentals/02.01-MatmulFundamentals.ipynb

@@ -1527,6 +1527,12 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "gpuType": "T4",
+   "provenance": [],
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
@@ -1542,7 +1548,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,

tutorials/floating-point-emulation/notebooks/02-Matmul-Fundamentals/02.02-MatmulWithcuBLASDx.ipynb

@@ -925,6 +925,12 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "gpuType": "T4",
+   "provenance": [],
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
@@ -940,7 +946,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,

tutorials/floating-point-emulation/notebooks/03-Ozaki-I-Emulation/03.01-UnfusedEmulation.ipynb

@@ -960,6 +960,12 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "gpuType": "T4",
+   "provenance": [],
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
@@ -975,7 +981,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,

tutorials/floating-point-emulation/notebooks/03-Ozaki-I-Emulation/03.02-PartiallyFusedEmulation.ipynb

@@ -930,6 +930,12 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "gpuType": "T4",
+   "provenance": [],
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
@@ -945,7 +951,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,

tutorials/floating-point-emulation/notebooks/03-Ozaki-I-Emulation/03.03-FusedEmulation.ipynb

@@ -937,6 +937,12 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "gpuType": "T4",
+   "provenance": [],
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
@@ -952,7 +958,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,

tutorials/floating-point-emulation/notebooks/04-Challenge-Exercises/04.01-SYRK.ipynb

@@ -832,6 +832,12 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "gpuType": "T4",
+   "provenance": [],
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
@@ -847,7 +853,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.12"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,