IndexError: index -1 is out of bounds for axis 0 with size 0
Hi,
**When I ran resnet50 with cmd "python3.6 python/main.py --profile resnet50-tf --mlperf_conf ../../mlperf.conf --model ../../../resnet50.pb --dataset-path fake_imagenet/ --output /home/jason/resnet50/inference/vision/classification_and_detection/output/test1 --scenario=Offline"
There are error logs blow:**
ERROR:main:thread: failed on contentid=['fake_imagenet/val/800px-Porsche_991_silver_IAA.jpg', 'fake_imagenet/val/800px-20180630_Tesla_Model_S_70D_2015_midnight_blue_left_front.jpg', 'fake_imagenet/val/782px-Pumiforme.JPG', 'fake_imagenet/val/800px-Welsh_Springer_Spaniel.jpg', 'fake_imagenet/val/800px-Sardinian_Warbler.jpg', 'fake_imagenet/val/800px-7weeks_old.JPG', 'fake_imagenet/val/512px-Cacatua_moluccensis_-Cincinnati_Zoo-8a.jpg', 'fake_imagenet/val/800px-Jammlich_crop.jpg', 'fake_imagenet/val/800px-Porsche_991_silver_IAA.jpg', 'fake_imagenet/val/800px-20180630_Tesla_Model_S_70D_2015_midnight_blue_left_front.jpg', 'fake_imagenet/val/782px-Pumiforme.JPG', 'fake_imagenet/val/800px-Welsh_Springer_Spaniel.jpg', 'fake_imagenet/val/800px-Sardinian_Warbler.jpg', 'fake_imagenet/val/800px-7weeks_old.JPG', 'fake_imagenet/val/512px-Cacatua_moluccensis_-Cincinnati_Zoo-8a.jpg', 'fake_imagenet/val/800px-Jammlich_crop.jpg', 'fake_imagenet/val/800px-Porsche_991_silver_IAA.jpg', 'fake_imagenet/val/800px-20180630_Tesla_Model_S_70D_2015_midnight_blue_left_front.jpg', 'fake_imagenet/val/782px-Pumiforme.JPG', 'fake_imagenet/val/800px-Welsh_Springer_Spaniel.jpg', 'fake_imagenet/val/800px-Sardinian_Warbler.jpg', 'fake_imagenet/val/800px-7weeks_old.JPG', 'fake_imagenet/val/512px-Cacatua_moluccensis_-Cincinnati_Zoo-8a.jpg', 'fake_imagenet/val/800px-Jammlich_crop.jpg', 'fake_imagenet/val/800px-Porsche_991_silver_IAA.jpg', 'fake_imagenet/val/800px-20180630_Tesla_Model_S_70D_2015_midnight_blue_left_front.jpg', 'fake_imagenet/val/782px-Pumiforme.JPG', 'fake_imagenet/val/800px-Welsh_Springer_Spaniel.jpg', 'fake_imagenet/val/800px-Sardinian_Warbler.jpg', 'fake_imagenet/val/800px-7weeks_old.JPG', 'fake_imagenet/val/512px-Cacatua_moluccensis_-Cincinnati_Zoo-8a.jpg', 'fake_imagenet/val/800px-Jammlich_crop.jpg'], The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
And finally output this error:
Traceback (most recent call last):
File "/home/jason/resnet152/inference/vision/classification_and_detection/python/main.py", line 596, in
The dataset is using fake data which is generated by tools/make_fake_data.sh
Could you help me with that issue? Thanks.