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== PyTorch ==
=============
NVIDIA Release 19.10 (build 8472689)
PyTorch Version 1.3.0a0+24ae9b5
Container image Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
Copyright (c) 2014-2019 Facebook Inc.
Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)
Copyright (c) 2012-2014 Deepmind Technologies (Koray Kavukcuoglu)
Copyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)
Copyright (c) 2011-2013 NYU (Clement Farabet)
Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)
Copyright (c) 2006 Idiap Research Institute (Samy Bengio)
Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)
Copyright (c) 2015 Google Inc.
Copyright (c) 2015 Yangqing Jia
Copyright (c) 2013-2016 The Caffe contributors
All rights reserved.
Various files include modifications (c) NVIDIA CORPORATION. All rights reserved.
NVIDIA modifications are covered by the license terms that apply to the underlying project or file.
NOTE: MOFED driver for multi-node communication was not detected.
Multi-node communication performance may be reduced.
Then execute the command:
odtk train retinanet_rn50fpn.pth --backbone ResNet50FPN --images /dataset --annotations train_0303_3clz.csv
Then comes the error:
bash: odtk: command not found
I followed the steps:
the container started successfully:
Then execute the command:
odtk train retinanet_rn50fpn.pth --backbone ResNet50FPN --images /dataset --annotations train_0303_3clz.csv
Then comes the error:
bash: odtk: command not found