progress: common data directory
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parent
1013e80286
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.gitignore
vendored
3
.gitignore
vendored
@ -9,3 +9,6 @@ fastbook
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#**/pytorch/jupyter-settings
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**/workspaces
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**/user-settings
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.Trash*
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*pkl
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data
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@ -3,10 +3,12 @@
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# -------------------------------------------------------
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FROM pytorch/pytorch:latest
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# Install JupyterLab
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RUN pip install jupyterlab
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RUN useradd -m -s /bin/bash oleg
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# Install additional packages
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# Install packages
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RUN pip install jupyterlab
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RUN pip install pandas
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RUN pip install numpy
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RUN pip install plotly
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RUN pip install fastbook
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@ -10,7 +10,7 @@ services:
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jupyter:
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user: "oleg"
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build: ${ROOT_DIR}
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image: cvtt/jupyter_gpu_pt:v1.0.8
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image: cvtt/jupyter_gpu_pt:v1.0.9
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container_name: jupyter_gpu_pt
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runtime: nvidia
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environment:
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@ -20,6 +20,7 @@ services:
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- ${ROOT_DIR}/jupyter_settings/user-settings:/root/.jupyter/lab/user-settings
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- ${ROOT_DIR}/jupyter_settings/workspaces:/root/.jupyter/lab/workspaces
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- ${ROOT_DIR}/.cache/torch:/root/.cache/torch
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- /opt/jupyter_gpu/data:/workspace/data
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ports:
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- "${JUPYTER_PORT}:${JUPYTER_PORT}"
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shm_size: "8gb"
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@ -13,8 +13,9 @@ RUN useradd -m -s /bin/bash oleg
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RUN mkdir -p /workspace/tf_cache
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# Install packages
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RUN pip install tensorflow-gpu
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RUN pip install jupyterlab
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RUN pip install pandas
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RUN pip install numpy
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RUN pip install plotly
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# Install additional applications
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@ -28,4 +29,4 @@ WORKDIR /workspace
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EXPOSE ${JUPYTER_PORT}
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# Command to run JupyterLab
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CMD ["jupyter-lab", "--ip=0.0.0.0", "--port=9999", "--no-browser", "--allow-root", "--NotebookApp.token=''"]
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CMD ["sh", "-c", "jupyter lab --ip=0.0.0.0 --port=9999 --allow-root --no-browser --NotebookApp.token=''"]
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@ -10,7 +10,7 @@ services:
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jupyter:
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user: "oleg"
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build: ${ROOT_DIR}
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image: cvtt/jupyter_gpu_tf:v1.0.2
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image: cvtt/jupyter_gpu_tf:v1.0.4
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container_name: jupyter_gpu_tf
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runtime: nvidia
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environment:
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@ -20,6 +20,7 @@ services:
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- ${ROOT_DIR}/notebooks:/workspace
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- ${ROOT_DIR}/jupyter_settings/user-settings:/home/oleg/.jupyter/lab/user-settings
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- ${ROOT_DIR}/jupyter_settings/workspaces:/home/oleg/.jupyter/lab/workspaces
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- /opt/jupyter_gpu/data:/workspace/data
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ports:
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- "${JUPYTER_PORT}:${JUPYTER_PORT}"
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shm_size: "8gb"
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@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 3,
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"id": "000d047d-3dfd-48cb-a3c3-bd1ad7c78b71",
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"metadata": {},
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"outputs": [
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@ -12,28 +12,22 @@
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"text": [
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"TensorFlow version: 2.16.1\n",
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"GPUs detected: 1\n",
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" - /physical_device:GPU:0\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2024-06-03 21:52:43.785816: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
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"2024-06-03 21:52:43.795907: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
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"2024-06-03 21:52:43.799970: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n"
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" - PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')\n"
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]
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}
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],
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"source": [
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"import os\n",
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"import tensorflow as tf\n",
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"\n",
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"os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'\n",
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"\n",
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"def get_available_gpus():\n",
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" gpus = tf.config.list_physical_devices('GPU')\n",
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" if gpus:\n",
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" print(f\"GPUs detected: {len(gpus)}\")\n",
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" for gpu in gpus:\n",
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" print(f\" - {gpu.name}\")\n",
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" print(f\" - {gpu}\")\n",
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" else:\n",
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" print(\"No GPUs detected.\")\n",
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"\n",
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@ -44,11 +38,23 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 2,
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"id": "324dc7a1-61b8-4384-bfed-4385e7dbe49d",
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"metadata": {},
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"outputs": [],
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"source": []
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')\n"
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]
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}
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],
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"source": [
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"gpus = tf.config.list_physical_devices('GPU')\n",
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"for gpu in gpus:\n",
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" print(gpu)"
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]
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}
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],
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"metadata": {
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