Is this related to https://github.com/apache/incubator-mxnet/issues/10856?
I unlocked that Github issue based on the Apache Code of Conduct https://www.apache.org/foundation/policies/conduct#specific-guidelines On Sat, 2019-11-30 at 02:47 -0800, Pedro Larroy wrote: > (py3_venv) piotr@34-215-197-42:1:~/mxnet_1.6 (upstream_master)+$ ldd > build/libmxnet.so| grep -i openmp > libomp.so => > /home/piotr/mxnet_1.6/build/3rdparty/openmp/runtime/src/libomp.so > (0x00007fde0991d000) > (py3_venv) piotr@34-215-197-42:0:~/mxnet_1.6 (upstream_master)+$ python > ~/deeplearning-benchmark/image_classification/infer_imagenet.py --use-rec > --batch-size 256 --dtype float32 --num-data-workers 40 --mode hybrid > --model resnet50_v2 --use-pretrained --kvstore local --log-interval 1 > --rec-val ~/data/val-passthrough.rec --rec-val-idx > ~/data/val-passthrough.idx > INFO:root:Namespace(batch_norm=False, batch_size=256, > data_dir='~/.mxnet/datasets/imagenet', dataset_size=32, dtype='float32', > kvstore='local', last_gamma=False, log_interval=1, logging_dir='logs', > lr=0.1, lr_decay=0.1, lr_decay_epoch='40,60', lr_mode='step', > lr_poly_power=2, mode='hybrid', model='resnet50_v2', momentum=0.9, > num_epochs=3, num_gpus=0, num_workers=40, > rec_val='/home/piotr/data/val-passthrough.rec', > rec_val_idx='/home/piotr/data/val-passthrough.idx', save_dir='params', > save_frequency=0, top_k=0, use_pretrained=True, use_rec=True, use_se=False, > warmup_epochs=0, warmup_lr=0.0, wd=0.0001) > [10:42:02] ../src/io/iter_image_recordio_2.cc:178: ImageRecordIOParser2: > /home/piotr/data/val-passthrough.rec, use 36 threads for decoding.. > INFO:root:Batch [0] > INFO:root:Top 1 accuracy: 0 > INFO:root:warmup_throughput: 5 samples/sec warmup_time 43.150922 > INFO:root:Batch [1] > INFO:root:Top 1 accuracy: 0 > INFO:root:warmup_throughput: 6 samples/sec warmup_time 37.971927 > INFO:root:Batch [2] > INFO:root:Top 1 accuracy: 0 > INFO:root:warmup_throughput: 7 samples/sec warmup_time 35.755363 > > > > > > > > (py3_venv) piotr@34-215-197-42:0:~/mxnet_1.6_plat_omp (upstream_master)+$ > git st > On branch upstream_master > Your branch is up to date with 'origin/upstream_master'. > > Changes not staged for commit: > (use "git add/rm <file>..." to update what will be committed) > (use "git checkout -- <file>..." to discard changes in working directory) > > deleted: 3rdparty/openmp > > no changes added to commit (use "git add" and/or "git commit -a") > (py3_venv) piotr@34-215-197-42:1:~/mxnet_1.6_plat_omp (upstream_master)+$ > ldd build/libmxnet.so | grep -i omp > libgomp.so.1 => /usr/lib/x86_64-linux-gnu/libgomp.so.1 > (0x00007f941241c000) > > (py3_venv) piotr@34-215-197-42:130:~/mxnet_1.6_plat_omp (upstream_master)+$ > python ~/deeplearning-benchmark/image_classification/infer_imagenet.py > --use-rec --batch-size 256 --dtype float32 --num-data-workers 40 --mode > hybrid --model resnet50_v2 --use-pretrained --kvstore local --log-interval > 1 --rec-val ~/data/val-passthrough.rec --rec-val-idx > ~/data/val-passthrough.idx > INFO:root:warmup_throughput: 147 samples/sec warmup_time 1.735117 > INFO:root:Batch [16] > INFO:root:Top 1 accuracy: 0 > INFO:root:warmup_throughput: 143 samples/sec warmup_time 1.785760 > INFO:root:Batch [17] > INFO:root:Top 1 accuracy: 0 > INFO:root:warmup_throughput: 148 samples/sec warmup_time 1.729033
