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December 1, 2020 23:25
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check the GPU memory allocation in google colab notebook
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# memory footprint support libraries/code | |
!ln -sf /opt/bin/nvidia-smi /usr/bin/nvidia-smi | |
!pip install gputil | |
!pip install psutil | |
!pip install humanize | |
import psutil | |
import humanize | |
import os | |
import GPUtil as GPU | |
GPUs = GPU.getGPUs() | |
# XXX: only one GPU on Colab and isn’t guaranteed | |
gpu = GPUs[0] | |
def printm(): | |
process = psutil.Process(os.getpid()) | |
print("Gen RAM Free: " + humanize.naturalsize( psutil.virtual_memory().available ), " | Proc size: " + humanize.naturalsize( process.memory_info().rss)) | |
print("GPU RAM Free: {0:.0f}MB | Used: {1:.0f}MB | Util {2:3.0f}% | Total {3:.0f}MB".format(gpu.memoryFree, gpu.memoryUsed, gpu.memoryUtil*100, gpu.memoryTotal)) | |
printm() |
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