(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

Reply via email to