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https://github.com/hansalemaos/nvidiacheck
Monitors NVIDIA GPU information and log the data into a pandas DataFrame - Windows only.
https://github.com/hansalemaos/nvidiacheck
cuda log logging nvidia torch
Last synced: 21 days ago
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Monitors NVIDIA GPU information and log the data into a pandas DataFrame - Windows only.
- Host: GitHub
- URL: https://github.com/hansalemaos/nvidiacheck
- Owner: hansalemaos
- License: mit
- Created: 2023-07-18T15:11:15.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-18T15:11:37.000Z (over 1 year ago)
- Last Synced: 2024-11-23T21:29:39.632Z (about 1 month ago)
- Topics: cuda, log, logging, nvidia, torch
- Language: Python
- Homepage: https://pypi.org/project/nvidiacheck/
- Size: 5.86 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.MD
- License: LICENSE
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README
# Monitors NVIDIA GPU information and log the data into a pandas DataFrame - Windows only.
## pip install nvidiacheck
#### Tested against Windows 10 / Python 3.10 / Anaconda
```python
Parameters:
savepath (str, optional): The file path to save the log data as a CSV file.
If provided, the data will be saved upon KeyboardInterrupt.
sleeptime (int, optional): The time interval (in seconds) between each data logging.
Returns:
pandas.DataFrame: A DataFrame containing the logged NVIDIA GPU information with the following columns:
- index: GPU index.
- name: GPU name.
- memory.total [MiB]: Total GPU memory in MiB (Mebibytes).
- memory.used [MiB]: Used GPU memory in MiB (Mebibytes).
- memory.free [MiB]: Free GPU memory in MiB (Mebibytes).
- temperature.gpu: GPU temperature in Celsius.
- pstate: GPU performance state.
- utilization.gpu [%]: GPU utilization percentage.
- utilization.memory [%]: Memory utilization percentage.
- timestamp: Timestamp in the format "YYYY_MM_DD_HH_MM_SS".
Description:
This function uses the NVIDIA System Management Interface (nvidia-smi) to query GPU information,
including memory usage, temperature, performance state, and utilization. The data is collected
in real-time and logged into a pandas DataFrame. The logging continues indefinitely until a
KeyboardInterrupt (usually triggered by pressing Ctrl + C).
If the 'savepath' parameter is provided, the collected GPU information will be saved to a CSV
file when the monitoring is interrupted by the user (KeyboardInterrupt).
Note: This function is intended for systems with NVIDIA GPUs on Windows and requires the nvidia-smi.exe
executable to be available in the system path.
Example:
from nvidiacheck import nvidia_log
# Start monitoring NVIDIA GPU and display the real-time log
nvidia_log()
# Start monitoring NVIDIA GPU and save the log data to a CSV file
nvidia_log(savepath="gpu_log.csv")
# Start monitoring NVIDIA GPU with a custom time interval between logs (e.g., 2 seconds)
nvidia_log(sleeptime=2)
index name memory.total [MiB] memory.used [MiB] memory.free [MiB] temperature.gpu pstate utilization.gpu [%] utilization.memory [%] timestamp
0 0 NVIDIA GeForce RTX 2060 SUPER 8192 MiB 1321 MiB 6697 MiB 45 P8 16 % 5 % 2023_07_18_11_52_55
index name memory.total [MiB] memory.used [MiB] memory.free [MiB] temperature.gpu pstate utilization.gpu [%] utilization.memory [%] timestamp
1 0 NVIDIA GeForce RTX 2060 SUPER 8192 MiB 1321 MiB 6697 MiB 44 P8 17 % 6 % 2023_07_18_11_52_56
index name memory.total [MiB] memory.used [MiB] memory.free [MiB] temperature.gpu pstate utilization.gpu [%] utilization.memory [%] timestamp
2 0 NVIDIA GeForce RTX 2060 SUPER 8192 MiB 1321 MiB 6697 MiB 44 P8 2 % 4 % 2023_07_18_11_52_57
index name memory.total [MiB] memory.used [MiB] memory.free [MiB] temperature.gpu pstate utilization.gpu [%] utilization.memory [%] timestamp
3 0 NVIDIA GeForce RTX 2060 SUPER 8192 MiB 1321 MiB 6697 MiB 44 P8 4 % 5 % 2023_07_18_11_52_58
index name memory.total [MiB] memory.used [MiB] memory.free [MiB] temperature.gpu pstate utilization.gpu [%] utilization.memory [%] timestamp
4 0 NVIDIA GeForce RTX 2060 SUPER 8192 MiB 1321 MiB 6697 MiB 46 P2 22 % 1 % 2023_07_18_11_52_59
index name memory.total [MiB] memory.used [MiB] memory.free [MiB] temperature.gpu pstate utilization.gpu [%] utilization.memory [%] timestamp
5 0 NVIDIA GeForce RTX 2060 SUPER 8192 MiB 1320 MiB 6698 MiB 45 P8 0 % 0 % 2023_07_18_11_53_00
index name memory.total [MiB] memory.used [MiB] memory.free [MiB] temperature.gpu pstate utilization.gpu [%] utilization.memory [%] timestamp
6 0 NVIDIA GeForce RTX 2060 SUPER 8192 MiB 1320 MiB 6698 MiB 45 P8 2 % 4 % 2023_07_18_11_53_01
index name memory.total [MiB] memory.used [MiB] memory.free [MiB] temperature.gpu pstate utilization.gpu [%] utilization.memory [%] timestamp
7 0 NVIDIA GeForce RTX 2060 SUPER 8192 MiB 1320 MiB 6698 MiB 44 P8 12 % 5 % 2023_07_18_11_53_02
index name memory.total [MiB] memory.used [MiB] memory.free [MiB] temperature.gpu pstate utilization.gpu [%] utilization.memory [%] timestamp
8 0 NVIDIA GeForce RTX 2060 SUPER 8192 MiB 1320 MiB 6698 MiB 44 P8 3 % 4 % 2023_07_18_11_53_03
```