"colab not training always giving cuda out of memory error eventhough memory is available" Code Answer's

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colab not training always giving cuda out of memory error eventhough memory is available

Enthusiastic Earthworm on May 15, 2021

# 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()

Source: stackoverflow.com

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"colab not training always giving cuda out of memory error eventhough memory is available" Code Answer's