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Python 1 hr 18 mins ██████████▊░░░░░░░░░░ 51.5% | |
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#!/bin/bash | |
#SBATCH -J <name> # Job name | |
#SBATCH -o <filename>%j.log # Name of stdout output file (%j expands to jobId) | |
#SBATCH -e <filename>%j.err # Name of stderr output file | |
#SBATCH --mail-type=ALL | |
#SBATCH --mail-user=<netid>@cornell.edu | |
#SBATCH -N 1 # Total number of CPU nodes requested | |
#SBATCH -n 4 # Total number of CPU cores requrested | |
#SBATCH -t 24:00:00 # Run time (hh:mm:ss) | |
#SBATCH --mem=20000 # CPU Memory pool for all cores |
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import numpy as np | |
from typing import Tuple | |
import tensorflow as tf | |
import torch | |
import torchvision | |
import torchvision.transforms as transforms | |
# Set verbosity. | |
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR) |