gpu_blocker.py

# -*- coding: utf-8 -*-
# Copyright 2021 National Institute of Information and Communication Technology (Raj Dabre)
# 
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the
# Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute,
# sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so,
# subject to the following conditions:
# The above copyright notice and this permission notice shall
# be included in all copies or substantial portions of the
# Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY
# KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
# WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
# PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS
# OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR
# OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
# OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

import tensorflow as tf
import time

print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')))

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

with tf.Session() as sess:
    a=tf.constant(1.0)
    time.sleep(1000000)