progress: common data directory

This commit is contained in:
Oleg Sheynin 2024-06-04 00:57:49 +00:00
parent 1013e80286
commit 3a004e712a
6 changed files with 37 additions and 23 deletions

3
.gitignore vendored
View File

@ -9,3 +9,6 @@ fastbook
#**/pytorch/jupyter-settings
**/workspaces
**/user-settings
.Trash*
*pkl
data

View File

@ -3,10 +3,12 @@
# -------------------------------------------------------
FROM pytorch/pytorch:latest
# Install JupyterLab
RUN pip install jupyterlab
RUN useradd -m -s /bin/bash oleg
# Install additional packages
# Install packages
RUN pip install jupyterlab
RUN pip install pandas
RUN pip install numpy
RUN pip install plotly
RUN pip install fastbook

View File

@ -10,7 +10,7 @@ services:
jupyter:
user: "oleg"
build: ${ROOT_DIR}
image: cvtt/jupyter_gpu_pt:v1.0.8
image: cvtt/jupyter_gpu_pt:v1.0.9
container_name: jupyter_gpu_pt
runtime: nvidia
environment:
@ -20,6 +20,7 @@ services:
- ${ROOT_DIR}/jupyter_settings/user-settings:/root/.jupyter/lab/user-settings
- ${ROOT_DIR}/jupyter_settings/workspaces:/root/.jupyter/lab/workspaces
- ${ROOT_DIR}/.cache/torch:/root/.cache/torch
- /opt/jupyter_gpu/data:/workspace/data
ports:
- "${JUPYTER_PORT}:${JUPYTER_PORT}"
shm_size: "8gb"

View File

@ -13,8 +13,9 @@ RUN useradd -m -s /bin/bash oleg
RUN mkdir -p /workspace/tf_cache
# Install packages
RUN pip install tensorflow-gpu
RUN pip install jupyterlab
RUN pip install pandas
RUN pip install numpy
RUN pip install plotly
# Install additional applications
@ -28,4 +29,4 @@ WORKDIR /workspace
EXPOSE ${JUPYTER_PORT}
# Command to run JupyterLab
CMD ["jupyter-lab", "--ip=0.0.0.0", "--port=9999", "--no-browser", "--allow-root", "--NotebookApp.token=''"]
CMD ["sh", "-c", "jupyter lab --ip=0.0.0.0 --port=9999 --allow-root --no-browser --NotebookApp.token=''"]

View File

@ -10,7 +10,7 @@ services:
jupyter:
user: "oleg"
build: ${ROOT_DIR}
image: cvtt/jupyter_gpu_tf:v1.0.2
image: cvtt/jupyter_gpu_tf:v1.0.4
container_name: jupyter_gpu_tf
runtime: nvidia
environment:
@ -20,6 +20,7 @@ services:
- ${ROOT_DIR}/notebooks:/workspace
- ${ROOT_DIR}/jupyter_settings/user-settings:/home/oleg/.jupyter/lab/user-settings
- ${ROOT_DIR}/jupyter_settings/workspaces:/home/oleg/.jupyter/lab/workspaces
- /opt/jupyter_gpu/data:/workspace/data
ports:
- "${JUPYTER_PORT}:${JUPYTER_PORT}"
shm_size: "8gb"

View File

@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 3,
"id": "000d047d-3dfd-48cb-a3c3-bd1ad7c78b71",
"metadata": {},
"outputs": [
@ -12,28 +12,22 @@
"text": [
"TensorFlow version: 2.16.1\n",
"GPUs detected: 1\n",
" - /physical_device:GPU:0\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"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",
"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",
"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"
" - PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')\n"
]
}
],
"source": [
"import os\n",
"import tensorflow as tf\n",
"\n",
"os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'\n",
"\n",
"def get_available_gpus():\n",
" gpus = tf.config.list_physical_devices('GPU')\n",
" if gpus:\n",
" print(f\"GPUs detected: {len(gpus)}\")\n",
" for gpu in gpus:\n",
" print(f\" - {gpu.name}\")\n",
" print(f\" - {gpu}\")\n",
" else:\n",
" print(\"No GPUs detected.\")\n",
"\n",
@ -44,11 +38,23 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"id": "324dc7a1-61b8-4384-bfed-4385e7dbe49d",
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')\n"
]
}
],
"source": [
"gpus = tf.config.list_physical_devices('GPU')\n",
"for gpu in gpus:\n",
" print(gpu)"
]
}
],
"metadata": {