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copy from LIA

DanieleVeri 2 years ago
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97e1c6729f
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  1. 15 0
      Dockerfile
  2. 8 0
      README.md
  3. 13 0
      docker-compose.yml
  4. 12735 0
      notebooks/HPC_AD.ipynb

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Dockerfile

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+FROM tensorflow/tensorflow:latest-gpu
+
+RUN apt-get update -y && apt-get install zip wget -y
+
+RUN pip install --upgrade pip
+RUN pip install jupyter pandas sklearn matplotlib ipympl wandb tqdm \
+    RISE jupyter_contrib_nbextensions tables tensorflow_probability
+RUN jupyter contrib nbextension install --system
+
+COPY ./notebooks /app/notebooks
+
+WORKDIR /app/notebooks
+
+CMD ["jupyter", "notebook", "--port=8888", "--no-browser", \
+     "--ip=0.0.0.0", "--allow-root"]

+ 8 - 0
README.md

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+# Anomaly detection in HPC: CINECA Marconi-100
+## UNIBO Artificial Intelligence for Industry a.y. 2020/2021
+### Daniele Verì
+
+### Report avaliable on [Weights and Biases](https://wandb.ai/veri/hpc/reports/Anomaly-detection-in-HPC-CINECA-Marconi-100--Vmlldzo5NjE5Mzc)
+___
+## Note:
+The execution require at least 10GB of RAM, for this reason (and also for the optimized UI) it's reccomended [open in Colab](https://colab.research.google.com/drive/19gHrurbwEmOAcwdYLj_NbpPS88yQyOqd?usp=sharing).

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docker-compose.yml

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+version: '2.0'
+services:
+  jupyter:
+    build: .
+    ports:
+    - "8888:8888"
+    volumes:
+    - ./notebooks:/app/notebooks
+    deploy:
+      resources:
+        reservations:
+          devices:
+          - capabilities: [gpu]

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notebooks/HPC_AD.ipynb