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typescript
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Script started on Tue Mar 5 22:37:48 2019
[r[m[2J[H[?7h[?1;4;6l[?1049h[4l[?1h=[0m(B[1;24r[H[2J[H[2J[H[2J
Screen version 4.03.01 (GNU) 28-Jun-15
Copyright (c) 2010 Juergen Weigert, Sadrul Habib Chowdhury
Copyright (c) 2008, 2009 Juergen Weigert, Michael Schroeder, Micah Cowan,
Sadrul Habib Chowdhury
Copyright (c) 1993-2002, 2003, 2005, 2006, 2007 Juergen Weigert, Michael
Schroeder
Copyright (c) 1987 Oliver Laumann
This program is free software; you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free Software
Foundation; either version 3, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with
this program (see the file COPYING); if not, see http://www.gnu.org/licenses/,
or contact Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor,[57D
[Press Space for next page; Return to end.]
[H[2Jptayal@ptayal-15675:~/CSE291DA/svBRDFEstimation$ p cat nohup.out [3Pnvidia-smi cat nohup.out [3Pnvidia-smi cat nohup.out [K[?5h [?5l[?5h [?5lpyth[?5h [?5lon3 trainInitEnv.py --cuda --deviceIds 0 --nep[?5h [?5loch 400
Namespace(albedoWeight=1.0, batchSize=2, cascadeLevel=0, cuda=True, dataRoot='DATA/', depthWeight=0.5, deviceIds=[0], envWeight=0.01, epochId=-1, experiment=None, globalIllu1=1.0, imageSize=256, isRefine=False, lamC=1.0, lamCyc=1.0, lamId=1.0, lamTr=1.0, lamTrc=1.0, lamZ=1.0, modelRoot=None, nepoch=400, normalWeight=1.0, roughWeight=0.5)
mkdir: cannot create directory 'check_initEnv': File exists
Random Seed: 0
431 1980
/opt/conda/lib/python3.6/site-packages/torch/nn/functional.py:1320: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead.
warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.")
torch.Size([2, 3, 256, 256]) torch.Size([2, 1, 256, 256])
49866.0
[0/1] albedo: 0.283523 .
[0/1] normal: 0.836253 .
[0/1] rough: 0.259532 .
[0/1] depth: 0.084996 .
[0/1] globalIllu1: 0.076815 .
[0/1] Env Error: 0.031919 .
[0/1] albedoAccu: 0.283523 .
[0/1] normalAccu: 0.836253 .
[0/1] roughAccu: 0.259532 .
[0/1] depthAccu: 0.084996 .
[0/1] globalIllu1Accu: 0.076815 .
[0/1] envErrs_Accu:: 0.031919 .
torch.Size([2, 3, 256, 256]) torch.Size([2, 1, 256, 256])
42273.0
[0/2] albedo: 0.230205 .
[0/2] normal: 0.662776 .
[0/2] rough: 0.285842 .
[0/2] depth: 0.050026 .
[0/2] globalIllu1: 0.121302 .
[0/2] Env Error: 0.010294 .
[0/2] albedoAccu: 0.256864 .
[0/2] normalAccu: 0.749514 .
[0/2] roughAccu: 0.272687 .
[0/2] depthAccu: 0.067511 .
[0/2] globalIllu1Accu: 0.099059 .
[0/2] envErrs_Accu:: 0.021106 .
torch.Size([2, 3, 256, 256]) torch.Size([2, 1, 256, 256])
37572.0
[0/3] albedo: 0.177484 .
[0/3] normal: 0.552120 .
[0/3] rough: 0.196578 .
[0/3] depth: 0.121700 .
[0/3] globalIllu1: 0.042659 .
[0/3] Env Error: 0.010089 .
[0/3] albedoAccu: 0.230404 .
[0/3] normalAccu: 0.683716 .
[0/3] roughAccu: 0.247317 .
[0/3] depthAccu: 0.085574 .
[0/3] globalIllu1Accu: 0.080259 .
[0/3] envErrs_Accu:: 0.017434 .
torch.Size([2, 3, 256, 256]) torch.Size([2, 1, 256, 256])
52124.0
[0/4] albedo: 0.443901 .
[0/4] normal: 0.486941 .
[0/4] rough: 0.345991 .
[0/4] depth: 0.050694 .
[0/4] globalIllu1: 0.113002 .
[0/4] Env Error: 0.021470 .
[0/4] albedoAccu: 0.283778 .
[0/4] normalAccu: 0.634522 .
[0/4] roughAccu: 0.271986 .
[0/4] depthAccu: 0.076854 .
[0/4] globalIllu1Accu: 0.088445 .
[0/4] envErrs_Accu:: 0.018443 .
torch.Size([2, 3, 256, 256]) torch.Size([2, 1, 256, 256])
53855.0
[?1l>[24;1H
[?1049l[detached from 79.pts-2.ptayal-15675]