ThomasDelteil commented on issue #11282: Surprisngly low Traning performance on V100 URL: https://github.com/apache/incubator-mxnet/issues/11282#issuecomment-402828395 @ZaidQureshi it looks like you used `--model` instead of `--network` ``` python3 train_imagenet.py --gpus 2 --network alexnet --test-io 0 --data-nthreads 40 --benchmark 1 --batch-size 64 INFO:root:start with arguments Namespace(batch_size=64, benchmark=1, data_nthreads=40, data_train=None, data_train_idx='', data_val=None, data_val_idx='', disp_batches=20, dtype='float32', gc_threshold=0.5, gc_type='none', gpus='2', image_shape='3,224,224', initializer='default', kv_store='device', load_epoch=None, loss='', lr=0.1, lr_factor=0.1, lr_step_epochs='30,60', macrobatch_size=0, max_random_aspect_ratio=0.25, max_random_h=36, max_random_l=50, max_random_rotate_angle=10, max_random_s=50, max_random_scale=1, max_random_shear_ratio=0.1, min_random_scale=1, model_prefix=None, mom=0.9, monitor=0, network='alexnet', num_classes=1000, num_epochs=80, num_examples=1281167, num_layers=50, optimizer='sgd', pad_size=0, random_crop=1, random_mirror=1, rgb_mean='123.68,116.779,103.939', save_period=1, test_io=0, top_k=0, warmup_epochs=5, warmup_strategy='linear', wd=0.0001) [19:27:05] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:107: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable) INFO:root:Epoch[0] Batch [20] Speed: 2599.49 samples/sec accuracy=0.028274 INFO:root:Epoch[0] Batch [40] Speed: 2634.29 samples/sec accuracy=0.023438 INFO:root:Epoch[0] Batch [60] Speed: 2627.29 samples/sec accuracy=0.015625 INFO:root:Epoch[0] Batch [80] Speed: 2630.80 samples/sec accuracy=0.020313 INFO:root:Epoch[0] Batch [100] Speed: 2626.39 samples/sec accuracy=0.021094 INFO:root:Epoch[0] Batch [120] Speed: 2625.73 samples/sec accuracy=0.018750 INFO:root:Epoch[0] Batch [140] Speed: 2627.31 samples/sec accuracy=0.017188 INFO:root:Epoch[0] Batch [160] Speed: 2625.44 samples/sec accuracy=0.017969 INFO:root:Epoch[0] Batch [180] Speed: 2629.67 samples/sec accuracy=0.018750 INFO:root:Epoch[0] Batch [200] Speed: 2624.55 samples/sec accuracy=0.020313 INFO:root:Epoch[0] Batch [220] Speed: 2624.60 samples/sec accuracy=0.018750 ``` @indhub can you please close this issue? Thanks!
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