cjolivier01 commented on a change in pull request #7795: Fix build-server test
running out of GPU memory (CUDNN allocation failure)
URL: https://github.com/apache/incubator-mxnet/pull/7795#discussion_r137667439
##########
File path: tools/caffe_converter/test_converter.py
##########
@@ -89,18 +89,20 @@ def main():
args = parser.parse_args()
if args.cpu:
gpus = [-1]
- batch_size = 32
+ default_batch_size = 32
else:
gpus = mx.test_utils.list_gpus()
assert gpus, 'At least one GPU is needed to run test_converter in GPU
mode'
- batch_size = 32 * len(gpus)
+ default_batch_size = 32 * len(gpus)
models = ['bvlc_googlenet', 'vgg-16', 'resnet-50']
val = download_data()
for m in models:
test_model_weights_and_outputs(m, args.image_url, gpus[0])
- test_imagenet_model_performance(m, val, gpus, batch_size)
+ # Build/testing machines tend to be short on GPU memory
+ this_batch_size = default_batch_size / 4 if m == 'vgg-16' else
default_batch_size
+ test_imagenet_model_performance(m, val, gpus, this_batch_size)
Review comment:
It runs several models, the on that fails is a very larhe model (~660 MB)
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
With regards,
Apache Git Services
