Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Make from_tensorflow.py more GPU memory friendly. #8763

Merged
merged 2 commits into from
Aug 17, 2021
Merged

Make from_tensorflow.py more GPU memory friendly. #8763

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
8d6afb2
Make from_tensorflow.py more GPU memory friendly.
mbs-octoml Aug 16, 2021
97b7a10
Also deploy_sparse.py. Should probably also be done to tensorflow.rst.
mbs-octoml Aug 16, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 15 additions & 0 deletions tutorials/frontend/from_tensorflow.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,21 @@
# Tensorflow imports
import tensorflow as tf


# Ask tensorflow to limit it's GPU memory to what's actually needed
# instead of gobbling everything that's available.
# https://www.tensorflow.org/guide/gpu#limiting_gpu_memory_growth
# This way this tutorial is a little more friendly to sphinx-gallery.
gpus = tf.config.list_physical_devices("GPU")
if gpus:
try:
for gpu in gpus:
tf.config.experimental.set_memory_growth(gpu, True)
print("tensorflow will use experimental.set_memory_growth(True)")
except RuntimeError as e:
print("experimental.set_memory_growth option is not available: {}".format(e))


try:
tf_compat_v1 = tf.compat.v1
except ImportError:
Expand Down