experiments/gpt2-meg/meg_gpt2_base_n64_dp1_tp4_pp64-1809655.out

+ source /gpfsscratch/rech/eha/commun/start-prod
+++ type -t module
++ '[' -z function ']'
++ module purge
++ unset _mlshdbg
++ '[' 0 = 1 ']'
++ unset _mlre _mlIFS
++ '[' -n x ']'
++ _mlIFS=' 	
'
++ IFS=' '
++ for _mlv in ${MODULES_RUN_QUARANTINE:-}
++ '[' LD_LIBRARY_PATH = LD_LIBRARY_PATH -a LD_LIBRARY_PATH = LD_LIBRARY_PATH ']'
+++ eval 'echo ${LD_LIBRARY_PATH+x}'
++++ echo x
++ '[' -n x ']'
+++ eval 'echo ${LD_LIBRARY_PATH}'
++++ echo /gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:/gpfslocalsys/cuda/10.2/nvvm/lib64:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:/gpfslocalsys/cuda/10.2/lib64:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib
++ _mlre='LD_LIBRARY_PATH_modquar='\''/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:/gpfslocalsys/cuda/10.2/nvvm/lib64:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:/gpfslocalsys/cuda/10.2/lib64:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib'\'' '
++ _mlrv=MODULES_RUNENV_LD_LIBRARY_PATH
+++ eval 'echo ${MODULES_RUNENV_LD_LIBRARY_PATH:-}'
++++ echo
++ _mlre='LD_LIBRARY_PATH_modquar='\''/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:/gpfslocalsys/cuda/10.2/nvvm/lib64:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:/gpfslocalsys/cuda/10.2/lib64:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib'\'' LD_LIBRARY_PATH='\'''\'' '
++ '[' -n 'LD_LIBRARY_PATH_modquar='\''/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:/gpfslocalsys/cuda/10.2/nvvm/lib64:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:/gpfslocalsys/cuda/10.2/lib64:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib'\'' LD_LIBRARY_PATH='\'''\'' ' ']'
+++ eval 'LD_LIBRARY_PATH_modquar='\''/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:/gpfslocalsys/cuda/10.2/nvvm/lib64:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:/gpfslocalsys/cuda/10.2/lib64:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib'\''' 'LD_LIBRARY_PATH='\'''\''' /gpfslocalsup/spack_soft/tcl/8.6.8/gcc-4.8.5-5nqkfcnctewdheju62zvqbsonnzszr6m/bin/tclsh /gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/libexec/modulecmd.tcl bash '"$@"'
++++ LD_LIBRARY_PATH_modquar=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:/gpfslocalsys/cuda/10.2/nvvm/lib64:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:/gpfslocalsys/cuda/10.2/lib64:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib
++++ LD_LIBRARY_PATH=
++++ /gpfslocalsup/spack_soft/tcl/8.6.8/gcc-4.8.5-5nqkfcnctewdheju62zvqbsonnzszr6m/bin/tclsh /gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/libexec/modulecmd.tcl bash purge
++ eval unset 'PSM2_GPUDIRECT;
LD_LIBRARY_PATH=/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib;' export 'LD_LIBRARY_PATH;
unset' 'MODULES_LMPREREQ;
unset' 'CPATH;
unset' 'SLURM_MPI_TYPE;
unset' 'OMPI_MCA_mtl;
MANPATH=:/opt/c3/man:/opt/clmgr/man:/opt/sgi/share/man:/opt/clmgr/share/man:/opt/clmgr/lib/cm-cli/man:/gpfslocalsys/slurm/current/share/man:/usr/share/catman:/usr/share/man:/usr/catman:/usr/man;' export 'MANPATH;
unset' 'LIBRARY_PATH;
unset' 'MKLROOT_modshare;
unset' 'MPIF77;
unset' 'CMAKE_PREFIX_PATH;
unset' 'LOADEDMODULES;
unset' '_LMFILES_;
unset' 'MODULES_LMALTNAME;
unset' 'PKG_CONFIG_PATH;
MANPATH_modshare=:1:/opt/sgi/share/man:1:/opt/c3/man:1:/gpfslocalsys/slurm/current/share/man:1:/opt/clmgr/share/man:1:/opt/clmgr/lib/cm-cli/man:1:/usr/catman:2:/usr/man:2:/opt/clmgr/man:1:/usr/share/catman:2:/usr/share/man:2;' export 'MANPATH_modshare;
unset' 'LIBRARY_PATH_modshare;
unset' 'MODULES_LMCONFLICT;
unset' 'NLSPATH_modshare;
unset' 'MPICC;
unset' 'INTEL_LICENSE_FILE;
unset' 'MODULES_LMALTNAME_modshare;
unset' 'OMPI_MCA_pml;
unset' 'PKG_CONFIG_PATH_modshare;
unset' 'MODULES_LMCONFLICT_modshare;
unset' 'CUDA_INSTALL_PATH;
unset' 'INTEL_LICENSE_FILE_modshare;
unset' 'MODULES_LMNOTUASKED;
unset' 'MKLROOT;
unset' 'PYTHONUNBUFFERED;
unset' 'CUDA_PATH;
unset' 'MODULES_LMNOTUASKED_modshare;
unset' 'MPICXX;
unset' 'C_INCLUDE_PATH;
unset' 'NLSPATH;
unset' 'PSM2_CUDA_MEMCACHE_SIZE;
LD_LIBRARY_PATH_modshare=/gpfslocalsys/slurm/current/lib/slurm:1:/gpfslocalsys/slurm/current/lib:1;' export 'LD_LIBRARY_PATH_modshare;
unset' 'MODULES_LMPREREQ_modshare;
unset' 'CPATH_modshare;
unset' 'CMAKE_PREFIX_PATH_modshare;
unset' 'LOADEDMODULES_modshare;
unset' '_LMFILES__modshare;
unset' 'CUDA_HOME;
unset' 'MPIF90;
PATH=/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin;' export 'PATH;
unset' 'PSM2_CUDA;
PATH_modshare=/usr/bin:1:/gpfslocalsup/bin:1:/usr/local/bin:1:/opt/sgi/bin:1:/gpfslocalsys/slurm/current/bin:1:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:1:/opt/clmgr/bin:1:/linkhome/rech/genhug01/ura81os/bin:1:/linkhome/rech/genhug01/ura81os/.local/bin:1:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:1:/opt/sgi/sbin:1:/bin:1:/opt/clmgr/sbin:1:/gpfslocalsys/bin:1:/sbin:1:/usr/sbin:1:/gpfslocalsys/idrzap/current/bin:1:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:1:/usr/local/sbin:1:/usr/lpp/mmfs/bin:1:/opt/c3/bin:1;' export 'PATH_modshare;
test' '0;'
+++ unset PSM2_GPUDIRECT
+++ LD_LIBRARY_PATH=/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib
+++ export LD_LIBRARY_PATH
+++ unset MODULES_LMPREREQ
+++ unset CPATH
+++ unset SLURM_MPI_TYPE
+++ unset OMPI_MCA_mtl
+++ MANPATH=:/opt/c3/man:/opt/clmgr/man:/opt/sgi/share/man:/opt/clmgr/share/man:/opt/clmgr/lib/cm-cli/man:/gpfslocalsys/slurm/current/share/man:/usr/share/catman:/usr/share/man:/usr/catman:/usr/man
+++ export MANPATH
+++ unset LIBRARY_PATH
+++ unset MKLROOT_modshare
+++ unset MPIF77
+++ unset CMAKE_PREFIX_PATH
+++ unset LOADEDMODULES
+++ unset _LMFILES_
+++ unset MODULES_LMALTNAME
+++ unset PKG_CONFIG_PATH
+++ MANPATH_modshare=:1:/opt/sgi/share/man:1:/opt/c3/man:1:/gpfslocalsys/slurm/current/share/man:1:/opt/clmgr/share/man:1:/opt/clmgr/lib/cm-cli/man:1:/usr/catman:2:/usr/man:2:/opt/clmgr/man:1:/usr/share/catman:2:/usr/share/man:2
+++ export MANPATH_modshare
+++ unset LIBRARY_PATH_modshare
+++ unset MODULES_LMCONFLICT
+++ unset NLSPATH_modshare
+++ unset MPICC
+++ unset INTEL_LICENSE_FILE
+++ unset MODULES_LMALTNAME_modshare
+++ unset OMPI_MCA_pml
+++ unset PKG_CONFIG_PATH_modshare
+++ unset MODULES_LMCONFLICT_modshare
+++ unset CUDA_INSTALL_PATH
+++ unset INTEL_LICENSE_FILE_modshare
+++ unset MODULES_LMNOTUASKED
+++ unset MKLROOT
+++ unset PYTHONUNBUFFERED
+++ unset CUDA_PATH
+++ unset MODULES_LMNOTUASKED_modshare
+++ unset MPICXX
+++ unset C_INCLUDE_PATH
+++ unset NLSPATH
+++ unset PSM2_CUDA_MEMCACHE_SIZE
+++ LD_LIBRARY_PATH_modshare=/gpfslocalsys/slurm/current/lib/slurm:1:/gpfslocalsys/slurm/current/lib:1
+++ export LD_LIBRARY_PATH_modshare
+++ unset MODULES_LMPREREQ_modshare
+++ unset CPATH_modshare
+++ unset CMAKE_PREFIX_PATH_modshare
+++ unset LOADEDMODULES_modshare
+++ unset _LMFILES__modshare
+++ unset CUDA_HOME
+++ unset MPIF90
+++ PATH=/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ export PATH
+++ unset PSM2_CUDA
+++ PATH_modshare=/usr/bin:1:/gpfslocalsup/bin:1:/usr/local/bin:1:/opt/sgi/bin:1:/gpfslocalsys/slurm/current/bin:1:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:1:/opt/clmgr/bin:1:/linkhome/rech/genhug01/ura81os/bin:1:/linkhome/rech/genhug01/ura81os/.local/bin:1:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:1:/opt/sgi/sbin:1:/bin:1:/opt/clmgr/sbin:1:/gpfslocalsys/bin:1:/sbin:1:/usr/sbin:1:/gpfslocalsys/idrzap/current/bin:1:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:1:/usr/local/sbin:1:/usr/lpp/mmfs/bin:1:/opt/c3/bin:1
+++ export PATH_modshare
+++ test 0
++ _mlstatus=0
++ '[' -n x ']'
++ IFS=' 	
'
++ unset _mlre _mlv _mlrv _mlIFS
++ '[' -n '' ']'
++ unset _mlshdbg
++ return 0
++ module load pytorch-gpu/py3/1.8.0
++ unset _mlshdbg
++ '[' 0 = 1 ']'
++ unset _mlre _mlIFS
++ '[' -n x ']'
++ _mlIFS=' 	
'
++ IFS=' '
++ for _mlv in ${MODULES_RUN_QUARANTINE:-}
++ '[' LD_LIBRARY_PATH = LD_LIBRARY_PATH -a LD_LIBRARY_PATH = LD_LIBRARY_PATH ']'
+++ eval 'echo ${LD_LIBRARY_PATH+x}'
++++ echo x
++ '[' -n x ']'
+++ eval 'echo ${LD_LIBRARY_PATH}'
++++ echo /gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib
++ _mlre='LD_LIBRARY_PATH_modquar='\''/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib'\'' '
++ _mlrv=MODULES_RUNENV_LD_LIBRARY_PATH
+++ eval 'echo ${MODULES_RUNENV_LD_LIBRARY_PATH:-}'
++++ echo
++ _mlre='LD_LIBRARY_PATH_modquar='\''/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib'\'' LD_LIBRARY_PATH='\'''\'' '
++ '[' -n 'LD_LIBRARY_PATH_modquar='\''/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib'\'' LD_LIBRARY_PATH='\'''\'' ' ']'
+++ eval 'LD_LIBRARY_PATH_modquar='\''/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib'\''' 'LD_LIBRARY_PATH='\'''\''' /gpfslocalsup/spack_soft/tcl/8.6.8/gcc-4.8.5-5nqkfcnctewdheju62zvqbsonnzszr6m/bin/tclsh /gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/libexec/modulecmd.tcl bash '"$@"'
++++ LD_LIBRARY_PATH_modquar=/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib
++++ LD_LIBRARY_PATH=
++++ /gpfslocalsup/spack_soft/tcl/8.6.8/gcc-4.8.5-5nqkfcnctewdheju62zvqbsonnzszr6m/bin/tclsh /gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/libexec/modulecmd.tcl bash load pytorch-gpu/py3/1.8.0
Loading pytorch-gpu/py3/1.8.0
  Loading requirement: gcc/8.3.1 cuda/10.2 nccl/2.8.3-1-cuda
    cudnn/8.0.4.30-cuda-10.2 intel-mkl/2020.4 magma/2.5.4-cuda
    openmpi/4.0.5-cuda
++ eval 'PSM2_GPUDIRECT=1;' export 'PSM2_GPUDIRECT;
MODULES_LMPREREQ=nccl/2.8.3-1-cuda\&cuda/11.2\|cuda/10.2:magma/2.5.4-cuda\&intel-compilers/19.0.4\|gcc/8.3.1\&cuda/11.2\|cuda/10.2:openmpi/4.0.5-cuda\&nvidia-compilers/21.3\|nvidia-compilers/20.11\|nvidia-compilers/20.7\|pgi/20.4\|gcc/8.3.1\&cuda/11.2\|cuda/10.2:pytorch-gpu/py3/1.8.0\&gcc/8.3.1\&cuda/10.2\&nccl/2.8.3-1-cuda\&cudnn/8.0.4.30-cuda-10.2\&intel-mkl/2020.4\&magma/2.5.4-cuda\&openmpi/4.0.5-cuda;' export 'MODULES_LMPREREQ;
CPATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/include:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/include:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/include:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/include:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/include;' export 'CPATH;
LD_LIBRARY_PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:/gpfslocalsys/cuda/10.2/nvvm/lib64:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:/gpfslocalsys/cuda/10.2/lib64:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib;' export 'LD_LIBRARY_PATH;
SLURM_MPI_TYPE=pmix;' export 'SLURM_MPI_TYPE;
OMPI_MCA_mtl=psm2;' export 'OMPI_MCA_mtl;
MANPATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/share/man:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/man/common:/gpfslocalsys/cuda/10.2/doc/man::/opt/c3/man:/opt/clmgr/man:/opt/sgi/share/man:/opt/clmgr/share/man:/opt/clmgr/lib/cm-cli/man:/gpfslocalsys/slurm/current/share/man:/usr/share/catman:/usr/share/man:/usr/catman:/usr/man;' export 'MANPATH;
LIBRARY_PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:/gpfslocalsys/cuda/10.2/lib64/stubs:/gpfslocalsys/cuda/10.2/nvvm/lib64:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:/gpfslocalsys/cuda/10.2/lib64:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib;' export 'LIBRARY_PATH;
MPIF77=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin/mpif77;' export 'MPIF77;
MKLROOT_modshare=/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl:1;' export 'MKLROOT_modshare;
CMAKE_PREFIX_PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/;' export 'CMAKE_PREFIX_PATH;
LOADEDMODULES=gcc/8.3.1:cuda/10.2:nccl/2.8.3-1-cuda:cudnn/8.0.4.30-cuda-10.2:intel-mkl/2020.4:magma/2.5.4-cuda:openmpi/4.0.5-cuda:pytorch-gpu/py3/1.8.0;' export 'LOADEDMODULES;
_LMFILES_=/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/gcc/8.3.1:/gpfslocalsup/pub/module-rh/modulefiles/cuda/10.2:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/nccl/2.8.3-1-cuda:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/cudnn/8.0.4.30-cuda-10.2:/gpfslocalsup/pub/module-rh/modulefiles/intel-mkl/2020.4:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/magma/2.5.4-cuda:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/openmpi/4.0.5-cuda:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/pytorch-gpu/py3/1.8.0;' export '_LMFILES_;
MODULES_LMALTNAME=openmpi/4.0.5-cuda\&openmpi/default\&openmpi;' export 'MODULES_LMALTNAME;
PKG_CONFIG_PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib/pkgconfig:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib/pkgconfig:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/bin/pkgconfig:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib/pkgconfig;' export 'PKG_CONFIG_PATH;
MANPATH_modshare=:1:/opt/sgi/share/man:1:/opt/c3/man:1:/gpfslocalsys/slurm/current/share/man:1:/opt/clmgr/share/man:1:/opt/clmgr/lib/cm-cli/man:1:/usr/man:3:/usr/catman:3:/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/share/man:1:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/man/common:1:/opt/clmgr/man:1:/gpfslocalsys/cuda/10.2/doc/man:1:/usr/share/man:3:/usr/share/catman:3;' export 'MANPATH_modshare;
LIBRARY_PATH_modshare=/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:1:/gpfslocalsys/slurm/current/lib:1:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:1:/gpfslocalsys/cuda/10.2/lib64/stubs:1:/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:1:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:1:/gpfslocalsys/cuda/10.2/nvvm/lib64:1:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:1:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:1:/gpfslocalsys/cuda/10.2/lib64:1:/gpfslocalsys/slurm/current/lib/slurm:1:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:1:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:1;' export 'LIBRARY_PATH_modshare;
MODULES_LMCONFLICT=gcc/8.3.1\&gcc:cuda/10.2\&cuda:nccl/2.8.3-1-cuda\&nccl:cudnn/8.0.4.30-cuda-10.2\&cudnn:intel-mkl/2020.4\&intel-mkl:magma/2.5.4-cuda\&magma:openmpi/4.0.5-cuda\&openmpi\&intel-mpi:pytorch-gpu/py3/1.8.0\&tensorflow\&pytorch\&caffe\&anaconda-py2\&anaconda-py3;' export 'MODULES_LMCONFLICT;
MPICC=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin/mpicc;' export 'MPICC;
NLSPATH_modshare=/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin/locale/%l_%t/%N:1;' export 'NLSPATH_modshare;
MODULES_LMALTNAME_modshare=openmpi/4.0.5-cuda\&openmpi/default\&openmpi:1;' export 'MODULES_LMALTNAME_modshare;
OMPI_MCA_pml=cm;' export 'OMPI_MCA_pml;
INTEL_LICENSE_FILE=/gpfslocalsys/intel/licenses/site_license.lic;' export 'INTEL_LICENSE_FILE;
PKG_CONFIG_PATH_modshare=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib/pkgconfig:1:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/bin/pkgconfig:1:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib/pkgconfig:1:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib/pkgconfig:1;' export 'PKG_CONFIG_PATH_modshare;
MODULES_LMCONFLICT_modshare=cuda/10.2\&cuda:1:magma/2.5.4-cuda\&magma:1:intel-mkl/2020.4\&intel-mkl:1:openmpi/4.0.5-cuda\&openmpi\&intel-mpi:1:nccl/2.8.3-1-cuda\&nccl:1:cudnn/8.0.4.30-cuda-10.2\&cudnn:1:pytorch-gpu/py3/1.8.0\&tensorflow\&pytorch\&caffe\&anaconda-py2\&anaconda-py3:1:gcc/8.3.1\&gcc:1;' export 'MODULES_LMCONFLICT_modshare;
INTEL_LICENSE_FILE_modshare=/gpfslocalsys/intel/licenses/site_license.lic:1;' export 'INTEL_LICENSE_FILE_modshare;
CUDA_INSTALL_PATH=/gpfslocalsys/cuda/10.2;' export 'CUDA_INSTALL_PATH;
MODULES_LMNOTUASKED=gcc/8.3.1:cuda/10.2:nccl/2.8.3-1-cuda:cudnn/8.0.4.30-cuda-10.2:intel-mkl/2020.4:magma/2.5.4-cuda:openmpi/4.0.5-cuda;' export 'MODULES_LMNOTUASKED;
PYTHONUNBUFFERED=1;' export 'PYTHONUNBUFFERED;
MKLROOT=/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl;' export 'MKLROOT;
MPICXX=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin/mpic++;' export 'MPICXX;
CUDA_PATH=/gpfslocalsys/cuda/10.2;' export 'CUDA_PATH;
MODULES_LMNOTUASKED_modshare=gcc/8.3.1:1:nccl/2.8.3-1-cuda:1:cudnn/8.0.4.30-cuda-10.2:1:cuda/10.2:1:openmpi/4.0.5-cuda:1:intel-mkl/2020.4:1:magma/2.5.4-cuda:1;' export 'MODULES_LMNOTUASKED_modshare;
PSM2_CUDA_MEMCACHE_SIZE=1024;' export 'PSM2_CUDA_MEMCACHE_SIZE;
NLSPATH=/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin/locale/%l_%t/%N;' export 'NLSPATH;
MODULES_LMPREREQ_modshare=openmpi/4.0.5-cuda\&nvidia-compilers/21.3\|nvidia-compilers/20.11\|nvidia-compilers/20.7\|pgi/20.4\|gcc/8.3.1\&cuda/11.2\|cuda/10.2:1:nccl/2.8.3-1-cuda\&cuda/11.2\|cuda/10.2:1:magma/2.5.4-cuda\&intel-compilers/19.0.4\|gcc/8.3.1\&cuda/11.2\|cuda/10.2:1:pytorch-gpu/py3/1.8.0\&gcc/8.3.1\&cuda/10.2\&nccl/2.8.3-1-cuda\&cudnn/8.0.4.30-cuda-10.2\&intel-mkl/2020.4\&magma/2.5.4-cuda\&openmpi/4.0.5-cuda:1;' export 'MODULES_LMPREREQ_modshare;
CPATH_modshare=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/include:1:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/include:1:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/include:1:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/include:1:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/include:1;' export 'CPATH_modshare;
C_INCLUDE_PATH=/gpfslocalsys/cuda/10.2/include;' export 'C_INCLUDE_PATH;
LD_LIBRARY_PATH_modshare=/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:1:/gpfslocalsys/slurm/current/lib:1:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:1:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:1:/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:1:/gpfslocalsys/cuda/10.2/nvvm/lib64:1:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:1:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:1:/gpfslocalsys/slurm/current/lib/slurm:1:/gpfslocalsys/cuda/10.2/lib64:1:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:1:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:1;' export 'LD_LIBRARY_PATH_modshare;
CMAKE_PREFIX_PATH_modshare=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/:1:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/:1:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/:1:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/:1;' export 'CMAKE_PREFIX_PATH_modshare;
LOADEDMODULES_modshare=gcc/8.3.1:1:nccl/2.8.3-1-cuda:1:cudnn/8.0.4.30-cuda-10.2:1:pytorch-gpu/py3/1.8.0:1:cuda/10.2:1:intel-mkl/2020.4:1:openmpi/4.0.5-cuda:1:magma/2.5.4-cuda:1;' export 'LOADEDMODULES_modshare;
_LMFILES__modshare=/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/pytorch-gpu/py3/1.8.0:1:/gpfslocalsup/pub/module-rh/modulefiles/cuda/10.2:1:/gpfslocalsup/pub/module-rh/modulefiles/intel-mkl/2020.4:1:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/openmpi/4.0.5-cuda:1:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/magma/2.5.4-cuda:1:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/gcc/8.3.1:1:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/nccl/2.8.3-1-cuda:1:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/cudnn/8.0.4.30-cuda-10.2:1;' export '_LMFILES__modshare;
MPIF90=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin/mpif90;' export 'MPIF90;
CUDA_HOME=/gpfslocalsys/cuda/10.2;' export 'CUDA_HOME;
PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin;' export 'PATH;
PSM2_CUDA=1;' export 'PSM2_CUDA;
PATH_modshare=/usr/bin:1:/gpfslocalsup/bin:1:/usr/local/bin:1:/gpfslocalsys/cuda/10.2/nvvm/bin:1:/opt/sgi/bin:1:/gpfslocalsys/slurm/current/bin:1:/gpfslocalsys/cuda/10.2/bin:1:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:1:/opt/clmgr/bin:1:/opt/sgi/sbin:1:/linkhome/rech/genhug01/ura81os/bin:1:/linkhome/rech/genhug01/ura81os/.local/bin:1:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:1:/bin:1:/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:1:/opt/clmgr/sbin:1:/gpfslocalsys/cuda/10.2/samples:1:/gpfslocalsys/bin:1:/sbin:1:/usr/sbin:1:/gpfslocalsys/idrzap/current/bin:1:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:1:/usr/local/sbin:1:/usr/lpp/mmfs/bin:1:/opt/c3/bin:1;' export 'PATH_modshare;
.' '/gpfslocalsup/pub/anaconda-py3/2020.02/etc/profile.d/conda.sh;
conda' 'deactivate;
conda' activate 'pytorch-gpu-1.8.0;
test' '0;'
+++ PSM2_GPUDIRECT=1
+++ export PSM2_GPUDIRECT
+++ MODULES_LMPREREQ='nccl/2.8.3-1-cuda&cuda/11.2|cuda/10.2:magma/2.5.4-cuda&intel-compilers/19.0.4|gcc/8.3.1&cuda/11.2|cuda/10.2:openmpi/4.0.5-cuda&nvidia-compilers/21.3|nvidia-compilers/20.11|nvidia-compilers/20.7|pgi/20.4|gcc/8.3.1&cuda/11.2|cuda/10.2:pytorch-gpu/py3/1.8.0&gcc/8.3.1&cuda/10.2&nccl/2.8.3-1-cuda&cudnn/8.0.4.30-cuda-10.2&intel-mkl/2020.4&magma/2.5.4-cuda&openmpi/4.0.5-cuda'
+++ export MODULES_LMPREREQ
+++ CPATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/include:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/include:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/include:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/include:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/include
+++ export CPATH
+++ LD_LIBRARY_PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:/gpfslocalsys/cuda/10.2/nvvm/lib64:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:/gpfslocalsys/cuda/10.2/lib64:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib
+++ export LD_LIBRARY_PATH
+++ SLURM_MPI_TYPE=pmix
+++ export SLURM_MPI_TYPE
+++ OMPI_MCA_mtl=psm2
+++ export OMPI_MCA_mtl
+++ MANPATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/share/man:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/man/common:/gpfslocalsys/cuda/10.2/doc/man::/opt/c3/man:/opt/clmgr/man:/opt/sgi/share/man:/opt/clmgr/share/man:/opt/clmgr/lib/cm-cli/man:/gpfslocalsys/slurm/current/share/man:/usr/share/catman:/usr/share/man:/usr/catman:/usr/man
+++ export MANPATH
+++ LIBRARY_PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:/gpfslocalsys/cuda/10.2/lib64/stubs:/gpfslocalsys/cuda/10.2/nvvm/lib64:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:/gpfslocalsys/cuda/10.2/lib64:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:/gpfslocalsys/slurm/current/lib/slurm:/gpfslocalsys/slurm/current/lib
+++ export LIBRARY_PATH
+++ MPIF77=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin/mpif77
+++ export MPIF77
+++ MKLROOT_modshare=/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl:1
+++ export MKLROOT_modshare
+++ CMAKE_PREFIX_PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/
+++ export CMAKE_PREFIX_PATH
+++ LOADEDMODULES=gcc/8.3.1:cuda/10.2:nccl/2.8.3-1-cuda:cudnn/8.0.4.30-cuda-10.2:intel-mkl/2020.4:magma/2.5.4-cuda:openmpi/4.0.5-cuda:pytorch-gpu/py3/1.8.0
+++ export LOADEDMODULES
+++ _LMFILES_=/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/gcc/8.3.1:/gpfslocalsup/pub/module-rh/modulefiles/cuda/10.2:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/nccl/2.8.3-1-cuda:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/cudnn/8.0.4.30-cuda-10.2:/gpfslocalsup/pub/module-rh/modulefiles/intel-mkl/2020.4:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/magma/2.5.4-cuda:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/openmpi/4.0.5-cuda:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/pytorch-gpu/py3/1.8.0
+++ export _LMFILES_
+++ MODULES_LMALTNAME='openmpi/4.0.5-cuda&openmpi/default&openmpi'
+++ export MODULES_LMALTNAME
+++ PKG_CONFIG_PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib/pkgconfig:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib/pkgconfig:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/bin/pkgconfig:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib/pkgconfig
+++ export PKG_CONFIG_PATH
+++ MANPATH_modshare=:1:/opt/sgi/share/man:1:/opt/c3/man:1:/gpfslocalsys/slurm/current/share/man:1:/opt/clmgr/share/man:1:/opt/clmgr/lib/cm-cli/man:1:/usr/man:3:/usr/catman:3:/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/share/man:1:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/man/common:1:/opt/clmgr/man:1:/gpfslocalsys/cuda/10.2/doc/man:1:/usr/share/man:3:/usr/share/catman:3
+++ export MANPATH_modshare
+++ LIBRARY_PATH_modshare=/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:1:/gpfslocalsys/slurm/current/lib:1:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:1:/gpfslocalsys/cuda/10.2/lib64/stubs:1:/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:1:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:1:/gpfslocalsys/cuda/10.2/nvvm/lib64:1:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:1:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:1:/gpfslocalsys/cuda/10.2/lib64:1:/gpfslocalsys/slurm/current/lib/slurm:1:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:1:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:1
+++ export LIBRARY_PATH_modshare
+++ MODULES_LMCONFLICT='gcc/8.3.1&gcc:cuda/10.2&cuda:nccl/2.8.3-1-cuda&nccl:cudnn/8.0.4.30-cuda-10.2&cudnn:intel-mkl/2020.4&intel-mkl:magma/2.5.4-cuda&magma:openmpi/4.0.5-cuda&openmpi&intel-mpi:pytorch-gpu/py3/1.8.0&tensorflow&pytorch&caffe&anaconda-py2&anaconda-py3'
+++ export MODULES_LMCONFLICT
+++ MPICC=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin/mpicc
+++ export MPICC
+++ NLSPATH_modshare=/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin/locale/%l_%t/%N:1
+++ export NLSPATH_modshare
+++ MODULES_LMALTNAME_modshare='openmpi/4.0.5-cuda&openmpi/default&openmpi:1'
+++ export MODULES_LMALTNAME_modshare
+++ OMPI_MCA_pml=cm
+++ export OMPI_MCA_pml
+++ INTEL_LICENSE_FILE=/gpfslocalsys/intel/licenses/site_license.lic
+++ export INTEL_LICENSE_FILE
+++ PKG_CONFIG_PATH_modshare=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib/pkgconfig:1:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/bin/pkgconfig:1:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib/pkgconfig:1:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib/pkgconfig:1
+++ export PKG_CONFIG_PATH_modshare
+++ MODULES_LMCONFLICT_modshare='cuda/10.2&cuda:1:magma/2.5.4-cuda&magma:1:intel-mkl/2020.4&intel-mkl:1:openmpi/4.0.5-cuda&openmpi&intel-mpi:1:nccl/2.8.3-1-cuda&nccl:1:cudnn/8.0.4.30-cuda-10.2&cudnn:1:pytorch-gpu/py3/1.8.0&tensorflow&pytorch&caffe&anaconda-py2&anaconda-py3:1:gcc/8.3.1&gcc:1'
+++ export MODULES_LMCONFLICT_modshare
+++ INTEL_LICENSE_FILE_modshare=/gpfslocalsys/intel/licenses/site_license.lic:1
+++ export INTEL_LICENSE_FILE_modshare
+++ CUDA_INSTALL_PATH=/gpfslocalsys/cuda/10.2
+++ export CUDA_INSTALL_PATH
+++ MODULES_LMNOTUASKED=gcc/8.3.1:cuda/10.2:nccl/2.8.3-1-cuda:cudnn/8.0.4.30-cuda-10.2:intel-mkl/2020.4:magma/2.5.4-cuda:openmpi/4.0.5-cuda
+++ export MODULES_LMNOTUASKED
+++ PYTHONUNBUFFERED=1
+++ export PYTHONUNBUFFERED
+++ MKLROOT=/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl
+++ export MKLROOT
+++ MPICXX=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin/mpic++
+++ export MPICXX
+++ CUDA_PATH=/gpfslocalsys/cuda/10.2
+++ export CUDA_PATH
+++ MODULES_LMNOTUASKED_modshare=gcc/8.3.1:1:nccl/2.8.3-1-cuda:1:cudnn/8.0.4.30-cuda-10.2:1:cuda/10.2:1:openmpi/4.0.5-cuda:1:intel-mkl/2020.4:1:magma/2.5.4-cuda:1
+++ export MODULES_LMNOTUASKED_modshare
+++ PSM2_CUDA_MEMCACHE_SIZE=1024
+++ export PSM2_CUDA_MEMCACHE_SIZE
+++ NLSPATH=/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin/locale/%l_%t/%N
+++ export NLSPATH
+++ MODULES_LMPREREQ_modshare='openmpi/4.0.5-cuda&nvidia-compilers/21.3|nvidia-compilers/20.11|nvidia-compilers/20.7|pgi/20.4|gcc/8.3.1&cuda/11.2|cuda/10.2:1:nccl/2.8.3-1-cuda&cuda/11.2|cuda/10.2:1:magma/2.5.4-cuda&intel-compilers/19.0.4|gcc/8.3.1&cuda/11.2|cuda/10.2:1:pytorch-gpu/py3/1.8.0&gcc/8.3.1&cuda/10.2&nccl/2.8.3-1-cuda&cudnn/8.0.4.30-cuda-10.2&intel-mkl/2020.4&magma/2.5.4-cuda&openmpi/4.0.5-cuda:1'
+++ export MODULES_LMPREREQ_modshare
+++ CPATH_modshare=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/include:1:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/include:1:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/include:1:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/include:1:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/include:1
+++ export CPATH_modshare
+++ C_INCLUDE_PATH=/gpfslocalsys/cuda/10.2/include
+++ export C_INCLUDE_PATH
+++ LD_LIBRARY_PATH_modshare=/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/lib:1:/gpfslocalsys/slurm/current/lib:1:/gpfslocalsys/intel/parallel_studio_xe_2020_update4_cluster_edition/compilers_and_libraries_2020.4.304/linux/mkl/lib/intel64_lin:1:/gpfslocalsys/cuda/10.2/targets/x86_64-linux/lib:1:/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/lib:1:/gpfslocalsys/cuda/10.2/nvvm/lib64:1:/gpfslocalsys/cuda/10.2/samples/common/lib/linux/x86_64:1:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/lib:1:/gpfslocalsys/slurm/current/lib/slurm:1:/gpfslocalsys/cuda/10.2/lib64:1:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/lib64:1:/gpfslocalsys/cuda/10.2/extras/CUPTI/lib64:1
+++ export LD_LIBRARY_PATH_modshare
+++ CMAKE_PREFIX_PATH_modshare=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/:1:/gpfslocalsup/spack_soft/magma/2.5.4/gcc-8.3.1-kmos2sznxduyph2ycjzwrbygyojzzqa4/:1:/gpfslocalsup/spack_soft/cudnn/8.0.4.30-10.2-linux-x64/gcc-8.3.1-iwlboerqjev5b667qn7b2fxvrjtmtksp/:1:/gpfslocalsup/spack_soft/nccl/2.8.3-1/gcc-8.3.1-k63lvicy45sxedhmivziuwlwt3wy4fws/:1
+++ export CMAKE_PREFIX_PATH_modshare
+++ LOADEDMODULES_modshare=gcc/8.3.1:1:nccl/2.8.3-1-cuda:1:cudnn/8.0.4.30-cuda-10.2:1:pytorch-gpu/py3/1.8.0:1:cuda/10.2:1:intel-mkl/2020.4:1:openmpi/4.0.5-cuda:1:magma/2.5.4-cuda:1
+++ export LOADEDMODULES_modshare
+++ _LMFILES__modshare=/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/pytorch-gpu/py3/1.8.0:1:/gpfslocalsup/pub/module-rh/modulefiles/cuda/10.2:1:/gpfslocalsup/pub/module-rh/modulefiles/intel-mkl/2020.4:1:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/openmpi/4.0.5-cuda:1:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/magma/2.5.4-cuda:1:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/gcc/8.3.1:1:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/nccl/2.8.3-1-cuda:1:/gpfslocalsup/pub/modules-idris-env4/modulefiles/linux-rhel8-skylake_avx512/cudnn/8.0.4.30-cuda-10.2:1
+++ export _LMFILES__modshare
+++ MPIF90=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin/mpif90
+++ export MPIF90
+++ CUDA_HOME=/gpfslocalsys/cuda/10.2
+++ export CUDA_HOME
+++ PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ export PATH
+++ PSM2_CUDA=1
+++ export PSM2_CUDA
+++ PATH_modshare=/usr/bin:1:/gpfslocalsup/bin:1:/usr/local/bin:1:/gpfslocalsys/cuda/10.2/nvvm/bin:1:/opt/sgi/bin:1:/gpfslocalsys/slurm/current/bin:1:/gpfslocalsys/cuda/10.2/bin:1:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:1:/opt/clmgr/bin:1:/opt/sgi/sbin:1:/linkhome/rech/genhug01/ura81os/bin:1:/linkhome/rech/genhug01/ura81os/.local/bin:1:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:1:/bin:1:/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:1:/opt/clmgr/sbin:1:/gpfslocalsys/cuda/10.2/samples:1:/gpfslocalsys/bin:1:/sbin:1:/usr/sbin:1:/gpfslocalsys/idrzap/current/bin:1:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:1:/usr/local/sbin:1:/usr/lpp/mmfs/bin:1:/opt/c3/bin:1
+++ export PATH_modshare
+++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/profile.d/conda.sh
++++ export CONDA_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
++++ CONDA_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
++++ export _CE_M=
++++ _CE_M=
++++ export _CE_CONDA=
++++ _CE_CONDA=
++++ export CONDA_PYTHON_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python
++++ CONDA_PYTHON_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python
++++ '[' -z x ']'
+++ conda deactivate
+++ '[' 1 -lt 1 ']'
+++ local cmd=deactivate
+++ shift
+++ case "$cmd" in
+++ __conda_activate deactivate
+++ '[' -n '' ']'
+++ local cmd=deactivate
+++ shift
+++ local ask_conda
+++ CONDA_INTERNAL_OLDPATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ __add_sys_prefix_to_path
+++ '[' -n '' ']'
++++ dirname /gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
+++ SYSP=/gpfslocalsup/pub/anaconda-py3/2020.02/bin
++++ dirname /gpfslocalsup/pub/anaconda-py3/2020.02/bin
+++ SYSP=/gpfslocalsup/pub/anaconda-py3/2020.02
+++ '[' -n '' ']'
+++ PATH=/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ export PATH
++++ PS1=
++++ /gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda shell.posix deactivate
+++ ask_conda='export PATH='\''/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin'\''
unset CONDA_PREFIX_2
PS1='\''(base) '\''
export CONDA_PREFIX='\''/gpfslocalsup/pub/anaconda-py3/2020.02'\''
export CONDA_SHLVL='\''2'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python'\''
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/gdal-activate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/geotiff-activate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/proj4-activate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/udunits2-activate.sh"'
+++ rc=0
+++ PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ eval 'export PATH='\''/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin'\''
unset CONDA_PREFIX_2
PS1='\''(base) '\''
export CONDA_PREFIX='\''/gpfslocalsup/pub/anaconda-py3/2020.02'\''
export CONDA_SHLVL='\''2'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python'\''
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/gdal-activate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/geotiff-activate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/proj4-activate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/udunits2-activate.sh"'
++++ export PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
++++ PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
++++ unset CONDA_PREFIX_2
++++ PS1='(base) '
++++ export CONDA_PREFIX=/gpfslocalsup/pub/anaconda-py3/2020.02
++++ CONDA_PREFIX=/gpfslocalsup/pub/anaconda-py3/2020.02
++++ export CONDA_SHLVL=2
++++ CONDA_SHLVL=2
++++ export CONDA_DEFAULT_ENV=base
++++ CONDA_DEFAULT_ENV=base
++++ export 'CONDA_PROMPT_MODIFIER=(base) '
++++ CONDA_PROMPT_MODIFIER='(base) '
++++ export CONDA_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
++++ CONDA_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
++++ export _CE_M=
++++ _CE_M=
++++ export _CE_CONDA=
++++ _CE_CONDA=
++++ export CONDA_PYTHON_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python
++++ CONDA_PYTHON_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/gdal-activate.sh
+++++ [[ -n '' ]]
+++++ [[ -n '' ]]
+++++ '[' -d /gpfslocalsup/pub/anaconda-py3/2020.02/share/gdal ']'
+++++ export GDAL_DATA=/gpfslocalsup/pub/anaconda-py3/2020.02/share/gdal
+++++ GDAL_DATA=/gpfslocalsup/pub/anaconda-py3/2020.02/share/gdal
+++++ export GDAL_DRIVER_PATH=/gpfslocalsup/pub/anaconda-py3/2020.02/lib/gdalplugins
+++++ GDAL_DRIVER_PATH=/gpfslocalsup/pub/anaconda-py3/2020.02/lib/gdalplugins
+++++ [[ ! -d /gpfslocalsup/pub/anaconda-py3/2020.02/lib/gdalplugins ]]
+++++ unset GDAL_DRIVER_PATH
+++++ export CPL_ZIP_ENCODING=UTF-8
+++++ CPL_ZIP_ENCODING=UTF-8
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/geotiff-activate.sh
+++++ [[ -n '' ]]
+++++ '[' -d /gpfslocalsup/pub/anaconda-py3/2020.02/share/epsg_csv ']'
+++++ '[' -d /gpfslocalsup/pub/anaconda-py3/2020.02/Library/share/epsg_csv ']'
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/proj4-activate.sh
+++++ '[' -n '' ']'
+++++ '[' -d /gpfslocalsup/pub/anaconda-py3/2020.02/share/proj ']'
+++++ export PROJ_LIB=/gpfslocalsup/pub/anaconda-py3/2020.02/share/proj
+++++ PROJ_LIB=/gpfslocalsup/pub/anaconda-py3/2020.02/share/proj
+++++ '[' -f /gpfslocalsup/pub/anaconda-py3/2020.02/share/proj/copyright_and_licenses.csv ']'
+++++ export PROJ_NETWORK=ON
+++++ PROJ_NETWORK=ON
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/udunits2-activate.sh
+++++ [[ -n '' ]]
+++++ '[' -d /gpfslocalsup/pub/anaconda-py3/2020.02/share/udunits ']'
+++++ export UDUNITS2_XML_PATH=/gpfslocalsup/pub/anaconda-py3/2020.02/share/udunits/udunits2.xml
+++++ UDUNITS2_XML_PATH=/gpfslocalsup/pub/anaconda-py3/2020.02/share/udunits/udunits2.xml
+++ '[' 0 '!=' 0 ']'
+++ __conda_hashr
+++ '[' -n '' ']'
+++ '[' -n '' ']'
+++ hash -r
+++ conda activate pytorch-gpu-1.8.0
+++ '[' 2 -lt 1 ']'
+++ local cmd=activate
+++ shift
+++ case "$cmd" in
+++ __conda_activate activate pytorch-gpu-1.8.0
+++ '[' -n '' ']'
+++ local cmd=activate
+++ shift
+++ local ask_conda
+++ CONDA_INTERNAL_OLDPATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ __add_sys_prefix_to_path
+++ '[' -n '' ']'
++++ dirname /gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
+++ SYSP=/gpfslocalsup/pub/anaconda-py3/2020.02/bin
++++ dirname /gpfslocalsup/pub/anaconda-py3/2020.02/bin
+++ SYSP=/gpfslocalsup/pub/anaconda-py3/2020.02
+++ '[' -n '' ']'
+++ PATH=/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ export PATH
++++ PS1='(base) '
++++ /gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda shell.posix activate pytorch-gpu-1.8.0
+++ ask_conda='export PATH='\''/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin'\''
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/udunits2-deactivate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/proj4-deactivate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/geotiff-deactivate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/gdal-deactivate.sh"
unset CONDA_PREFIX_1
PS1='\''(pytorch-gpu-1.8.0) '\''
export CONDA_PREFIX='\''/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0'\''
export CONDA_SHLVL='\''1'\''
export CONDA_DEFAULT_ENV='\''pytorch-gpu-1.8.0'\''
export CONDA_PROMPT_MODIFIER='\''(pytorch-gpu-1.8.0) '\''
export CONDA_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python'\''
. "/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/etc/conda/activate.d/proj4-activate.sh"'
+++ rc=0
+++ PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ eval 'export PATH='\''/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin'\''
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/udunits2-deactivate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/proj4-deactivate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/geotiff-deactivate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/gdal-deactivate.sh"
unset CONDA_PREFIX_1
PS1='\''(pytorch-gpu-1.8.0) '\''
export CONDA_PREFIX='\''/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0'\''
export CONDA_SHLVL='\''1'\''
export CONDA_DEFAULT_ENV='\''pytorch-gpu-1.8.0'\''
export CONDA_PROMPT_MODIFIER='\''(pytorch-gpu-1.8.0) '\''
export CONDA_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python'\''
. "/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/etc/conda/activate.d/proj4-activate.sh"'
++++ export PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
++++ PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/udunits2-deactivate.sh
+++++ unset UDUNITS2_XML_PATH
+++++ [[ -n '' ]]
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/proj4-deactivate.sh
+++++ unset PROJ_LIB
+++++ unset PROJ_NETWORK
+++++ '[' -n '' ']'
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/geotiff-deactivate.sh
+++++ unset GEOTIFF_CSV
+++++ [[ -n '' ]]
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/gdal-deactivate.sh
+++++ unset GDAL_DATA
+++++ [[ -n '' ]]
+++++ unset GDAL_DRIVER_PATH
+++++ [[ -n '' ]]
+++++ unset CPL_ZIP_ENCODING
++++ unset CONDA_PREFIX_1
++++ PS1='(pytorch-gpu-1.8.0) '
++++ export CONDA_PREFIX=/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0
++++ CONDA_PREFIX=/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0
++++ export CONDA_SHLVL=1
++++ CONDA_SHLVL=1
++++ export CONDA_DEFAULT_ENV=pytorch-gpu-1.8.0
++++ CONDA_DEFAULT_ENV=pytorch-gpu-1.8.0
++++ export 'CONDA_PROMPT_MODIFIER=(pytorch-gpu-1.8.0) '
++++ CONDA_PROMPT_MODIFIER='(pytorch-gpu-1.8.0) '
++++ export CONDA_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
++++ CONDA_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
++++ export _CE_M=
++++ _CE_M=
++++ export _CE_CONDA=
++++ _CE_CONDA=
++++ export CONDA_PYTHON_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python
++++ CONDA_PYTHON_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/etc/conda/activate.d/proj4-activate.sh
+++++ '[' -n '' ']'
+++++ '[' -d /gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/share/proj ']'
+++++ export PROJ_LIB=/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/share/proj
+++++ PROJ_LIB=/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/share/proj
+++++ '[' -f /gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/share/proj/copyright_and_licenses.csv ']'
+++++ export PROJ_NETWORK=ON
+++++ PROJ_NETWORK=ON
+++ '[' 0 '!=' 0 ']'
+++ __conda_hashr
+++ '[' -n '' ']'
+++ '[' -n '' ']'
+++ hash -r
+++ test 0
++ _mlstatus=0
++ '[' -n x ']'
++ IFS=' 	
'
++ unset _mlre _mlv _mlrv _mlIFS
++ '[' -n '' ']'
++ unset _mlshdbg
++ return 0
++ export GIT_PROMPT_ONLY_IN_REPO=0
++ GIT_PROMPT_ONLY_IN_REPO=0
++ export GIT_PROMPT_THEME=JZPRod
++ GIT_PROMPT_THEME=JZPRod
++ source /gpfsscratch/rech/eha/commun/envs/.bash-git-prompt/gitprompt.sh
+++ _have_find_mmin=1
+++ gp_install_prompt
+++ '[' -z '' ']'
+++ OLD_GITPROMPT='(pytorch-gpu-1.8.0) '
+++ '[' -z '' ']'
++++ we_are_on_repo
+++++ git rev-parse --git-dir
++++ [[ -e '' ]]
++++ echo 0
+++ GIT_PROMPT_OLD_DIR_WAS_GIT=0
+++ '[' -z '' ']'
+++ PROMPT_COMMAND=setGitPrompt
+++ local setLastCommandStateEntry=setLastCommandState
+++ case ";$PROMPT_COMMAND;" in
+++ PROMPT_COMMAND='setLastCommandState;setGitPrompt'
+++ git_prompt_dir
+++ '[' -z '' ']'
+++ local SOURCE=/gpfsscratch/rech/eha/commun/envs/.bash-git-prompt/gitprompt.sh
+++ '[' -h /gpfsscratch/rech/eha/commun/envs/.bash-git-prompt/gitprompt.sh ']'
+++++ dirname /gpfsscratch/rech/eha/commun/envs/.bash-git-prompt/gitprompt.sh
++++ command cd -P /gpfsscratch/rech/eha/commun/envs/.bash-git-prompt
++++ cd -P /gpfsscratch/rech/eha/commun/envs/.bash-git-prompt
++++ pwd
+++ __GIT_PROMPT_DIR=/gpfsssd/scratch/rech/eha/commun/envs/.bash-git-prompt
+++ source /gpfsssd/scratch/rech/eha/commun/envs/.bash-git-prompt/git-prompt-help.sh
++ export SBATCH_ACCOUNT=six@gpu
++ SBATCH_ACCOUNT=six@gpu
++ export SLURM_ACCOUNT=six@gpu
++ SLURM_ACCOUNT=six@gpu
++ export TRANSFORMERS_CACHE=/gpfsscratch/rech/eha/commun/models
++ TRANSFORMERS_CACHE=/gpfsscratch/rech/eha/commun/models
++ export HF_DATASETS_CACHE=/gpfsscratch/rech/eha/commun/datasets
++ HF_DATASETS_CACHE=/gpfsscratch/rech/eha/commun/datasets
++ export HF_MODULES_CACHE=/gpfsscratch/rech/eha/commun/modules
++ HF_MODULES_CACHE=/gpfsscratch/rech/eha/commun/modules
++ export HF_METRICS_CACHE=/gpfsscratch/rech/eha/commun/metrics
++ HF_METRICS_CACHE=/gpfsscratch/rech/eha/commun/metrics
++ export DATASETS_CUSTOM=/gpfsscratch/rech/eha/commun/datasets-custom
++ DATASETS_CUSTOM=/gpfsscratch/rech/eha/commun/datasets-custom
+++ /gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda shell.bash hook
++ __conda_setup='export CONDA_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python'\''

# Copyright (C) 2012 Anaconda, Inc
# SPDX-License-Identifier: BSD-3-Clause

__add_sys_prefix_to_path() {
    # In dev-mode CONDA_EXE is python.exe and on Windows
    # it is in a different relative location to condabin.
    if [ -n "${_CE_CONDA}" ] && [ -n "${WINDIR+x}" ]; then
        SYSP=$(\dirname "${CONDA_EXE}")
    else
        SYSP=$(\dirname "${CONDA_EXE}")
        SYSP=$(\dirname "${SYSP}")
    fi

    if [ -n "${WINDIR+x}" ]; then
        PATH="${SYSP}/bin:${PATH}"
        PATH="${SYSP}/Scripts:${PATH}"
        PATH="${SYSP}/Library/bin:${PATH}"
        PATH="${SYSP}/Library/usr/bin:${PATH}"
        PATH="${SYSP}/Library/mingw-w64/bin:${PATH}"
        PATH="${SYSP}:${PATH}"
    else
        PATH="${SYSP}/bin:${PATH}"
    fi
    \export PATH
}

__conda_hashr() {
    if [ -n "${ZSH_VERSION:+x}" ]; then
        \rehash
    elif [ -n "${POSH_VERSION:+x}" ]; then
        :  # pass
    else
        \hash -r
    fi
}

__conda_activate() {
    if [ -n "${CONDA_PS1_BACKUP:+x}" ]; then
        # Handle transition from shell activated with conda <= 4.3 to a subsequent activation
        # after conda updated to >= 4.4. See issue #6173.
        PS1="$CONDA_PS1_BACKUP"
        \unset CONDA_PS1_BACKUP
    fi

    \local cmd="$1"
    shift
    \local ask_conda
    CONDA_INTERNAL_OLDPATH="${PATH}"
    __add_sys_prefix_to_path
    ask_conda="$(PS1="$PS1" "$CONDA_EXE" $_CE_M $_CE_CONDA shell.posix "$cmd" "$@")" || \return $?
    rc=$?
    PATH="${CONDA_INTERNAL_OLDPATH}"
    \eval "$ask_conda"
    if [ $rc != 0 ]; then
        \export PATH
    fi
    __conda_hashr
}

__conda_reactivate() {
    \local ask_conda
    CONDA_INTERNAL_OLDPATH="${PATH}"
    __add_sys_prefix_to_path
    ask_conda="$(PS1="$PS1" "$CONDA_EXE" $_CE_M $_CE_CONDA shell.posix reactivate)" || \return $?
    PATH="${CONDA_INTERNAL_OLDPATH}"
    \eval "$ask_conda"
    __conda_hashr
}

conda() {
    if [ "$#" -lt 1 ]; then
        "$CONDA_EXE" $_CE_M $_CE_CONDA
    else
        \local cmd="$1"
        shift
        case "$cmd" in
            activate|deactivate)
                __conda_activate "$cmd" "$@"
                ;;
            install|update|upgrade|remove|uninstall)
                CONDA_INTERNAL_OLDPATH="${PATH}"
                __add_sys_prefix_to_path
                "$CONDA_EXE" $_CE_M $_CE_CONDA "$cmd" "$@"
                \local t1=$?
                PATH="${CONDA_INTERNAL_OLDPATH}"
                if [ $t1 = 0 ]; then
                    __conda_reactivate
                else
                    return $t1
                fi
                ;;
            *)
                CONDA_INTERNAL_OLDPATH="${PATH}"
                __add_sys_prefix_to_path
                "$CONDA_EXE" $_CE_M $_CE_CONDA "$cmd" "$@"
                \local t1=$?
                PATH="${CONDA_INTERNAL_OLDPATH}"
                return $t1
                ;;
        esac
    fi
}

if [ -z "${CONDA_SHLVL+x}" ]; then
    \export CONDA_SHLVL=0
    # In dev-mode CONDA_EXE is python.exe and on Windows
    # it is in a different relative location to condabin.
    if [ -n "${_CE_CONDA:+x}" ] && [ -n "${WINDIR+x}" ]; then
        PATH="$(\dirname "$CONDA_EXE")/condabin${PATH:+":${PATH}"}"
    else
        PATH="$(\dirname "$(\dirname "$CONDA_EXE")")/condabin${PATH:+":${PATH}"}"
    fi
    \export PATH

    # We'\''re not allowing PS1 to be unbound. It must at least be set.
    # However, we'\''re not exporting it, which can cause problems when starting a second shell
    # via a first shell (i.e. starting zsh from bash).
    if [ -z "${PS1+x}" ]; then
        PS1=
    fi
fi

conda activate base'
++ '[' 0 -eq 0 ']'
++ eval 'export CONDA_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python'\''

# Copyright (C) 2012 Anaconda, Inc
# SPDX-License-Identifier: BSD-3-Clause

__add_sys_prefix_to_path() {
    # In dev-mode CONDA_EXE is python.exe and on Windows
    # it is in a different relative location to condabin.
    if [ -n "${_CE_CONDA}" ] && [ -n "${WINDIR+x}" ]; then
        SYSP=$(\dirname "${CONDA_EXE}")
    else
        SYSP=$(\dirname "${CONDA_EXE}")
        SYSP=$(\dirname "${SYSP}")
    fi

    if [ -n "${WINDIR+x}" ]; then
        PATH="${SYSP}/bin:${PATH}"
        PATH="${SYSP}/Scripts:${PATH}"
        PATH="${SYSP}/Library/bin:${PATH}"
        PATH="${SYSP}/Library/usr/bin:${PATH}"
        PATH="${SYSP}/Library/mingw-w64/bin:${PATH}"
        PATH="${SYSP}:${PATH}"
    else
        PATH="${SYSP}/bin:${PATH}"
    fi
    \export PATH
}

__conda_hashr() {
    if [ -n "${ZSH_VERSION:+x}" ]; then
        \rehash
    elif [ -n "${POSH_VERSION:+x}" ]; then
        :  # pass
    else
        \hash -r
    fi
}

__conda_activate() {
    if [ -n "${CONDA_PS1_BACKUP:+x}" ]; then
        # Handle transition from shell activated with conda <= 4.3 to a subsequent activation
        # after conda updated to >= 4.4. See issue #6173.
        PS1="$CONDA_PS1_BACKUP"
        \unset CONDA_PS1_BACKUP
    fi

    \local cmd="$1"
    shift
    \local ask_conda
    CONDA_INTERNAL_OLDPATH="${PATH}"
    __add_sys_prefix_to_path
    ask_conda="$(PS1="$PS1" "$CONDA_EXE" $_CE_M $_CE_CONDA shell.posix "$cmd" "$@")" || \return $?
    rc=$?
    PATH="${CONDA_INTERNAL_OLDPATH}"
    \eval "$ask_conda"
    if [ $rc != 0 ]; then
        \export PATH
    fi
    __conda_hashr
}

__conda_reactivate() {
    \local ask_conda
    CONDA_INTERNAL_OLDPATH="${PATH}"
    __add_sys_prefix_to_path
    ask_conda="$(PS1="$PS1" "$CONDA_EXE" $_CE_M $_CE_CONDA shell.posix reactivate)" || \return $?
    PATH="${CONDA_INTERNAL_OLDPATH}"
    \eval "$ask_conda"
    __conda_hashr
}

conda() {
    if [ "$#" -lt 1 ]; then
        "$CONDA_EXE" $_CE_M $_CE_CONDA
    else
        \local cmd="$1"
        shift
        case "$cmd" in
            activate|deactivate)
                __conda_activate "$cmd" "$@"
                ;;
            install|update|upgrade|remove|uninstall)
                CONDA_INTERNAL_OLDPATH="${PATH}"
                __add_sys_prefix_to_path
                "$CONDA_EXE" $_CE_M $_CE_CONDA "$cmd" "$@"
                \local t1=$?
                PATH="${CONDA_INTERNAL_OLDPATH}"
                if [ $t1 = 0 ]; then
                    __conda_reactivate
                else
                    return $t1
                fi
                ;;
            *)
                CONDA_INTERNAL_OLDPATH="${PATH}"
                __add_sys_prefix_to_path
                "$CONDA_EXE" $_CE_M $_CE_CONDA "$cmd" "$@"
                \local t1=$?
                PATH="${CONDA_INTERNAL_OLDPATH}"
                return $t1
                ;;
        esac
    fi
}

if [ -z "${CONDA_SHLVL+x}" ]; then
    \export CONDA_SHLVL=0
    # In dev-mode CONDA_EXE is python.exe and on Windows
    # it is in a different relative location to condabin.
    if [ -n "${_CE_CONDA:+x}" ] && [ -n "${WINDIR+x}" ]; then
        PATH="$(\dirname "$CONDA_EXE")/condabin${PATH:+":${PATH}"}"
    else
        PATH="$(\dirname "$(\dirname "$CONDA_EXE")")/condabin${PATH:+":${PATH}"}"
    fi
    \export PATH

    # We'\''re not allowing PS1 to be unbound. It must at least be set.
    # However, we'\''re not exporting it, which can cause problems when starting a second shell
    # via a first shell (i.e. starting zsh from bash).
    if [ -z "${PS1+x}" ]; then
        PS1=
    fi
fi

conda activate base'
+++ export CONDA_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
+++ CONDA_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python
+++ CONDA_PYTHON_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python
+++ '[' -z x ']'
+++ conda activate base
+++ '[' 2 -lt 1 ']'
+++ local cmd=activate
+++ shift
+++ case "$cmd" in
+++ __conda_activate activate base
+++ '[' -n '' ']'
+++ local cmd=activate
+++ shift
+++ local ask_conda
+++ CONDA_INTERNAL_OLDPATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ __add_sys_prefix_to_path
+++ '[' -n '' ']'
++++ dirname /gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
+++ SYSP=/gpfslocalsup/pub/anaconda-py3/2020.02/bin
++++ dirname /gpfslocalsup/pub/anaconda-py3/2020.02/bin
+++ SYSP=/gpfslocalsup/pub/anaconda-py3/2020.02
+++ '[' -n '' ']'
+++ PATH=/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ export PATH
++++ PS1='(pytorch-gpu-1.8.0) '
++++ /gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda shell.posix activate base
+++ ask_conda='. "/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/etc/conda/deactivate.d/proj4-deactivate.sh"
PS1='\''(base) '\''
export PATH='\''/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin'\''
export CONDA_PREFIX='\''/gpfslocalsup/pub/anaconda-py3/2020.02'\''
export CONDA_SHLVL='\''2'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python'\''
export CONDA_PREFIX_1='\''/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0'\''
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/gdal-activate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/geotiff-activate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/proj4-activate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/udunits2-activate.sh"'
+++ rc=0
+++ PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ eval '. "/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/etc/conda/deactivate.d/proj4-deactivate.sh"
PS1='\''(base) '\''
export PATH='\''/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin'\''
export CONDA_PREFIX='\''/gpfslocalsup/pub/anaconda-py3/2020.02'\''
export CONDA_SHLVL='\''2'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python'\''
export CONDA_PREFIX_1='\''/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0'\''
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/gdal-activate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/geotiff-activate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/proj4-activate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/udunits2-activate.sh"'
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0/etc/conda/deactivate.d/proj4-deactivate.sh
+++++ unset PROJ_LIB
+++++ unset PROJ_NETWORK
+++++ '[' -n '' ']'
++++ PS1='(base) '
++++ export PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
++++ PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
++++ export CONDA_PREFIX=/gpfslocalsup/pub/anaconda-py3/2020.02
++++ CONDA_PREFIX=/gpfslocalsup/pub/anaconda-py3/2020.02
++++ export CONDA_SHLVL=2
++++ CONDA_SHLVL=2
++++ export CONDA_DEFAULT_ENV=base
++++ CONDA_DEFAULT_ENV=base
++++ export 'CONDA_PROMPT_MODIFIER=(base) '
++++ CONDA_PROMPT_MODIFIER='(base) '
++++ export CONDA_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
++++ CONDA_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
++++ export _CE_M=
++++ _CE_M=
++++ export _CE_CONDA=
++++ _CE_CONDA=
++++ export CONDA_PYTHON_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python
++++ CONDA_PYTHON_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python
++++ export CONDA_PREFIX_1=/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0
++++ CONDA_PREFIX_1=/gpfslocalsup/pub/anaconda-py3/2020.02/envs/pytorch-gpu-1.8.0
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/gdal-activate.sh
+++++ [[ -n '' ]]
+++++ [[ -n '' ]]
+++++ '[' -d /gpfslocalsup/pub/anaconda-py3/2020.02/share/gdal ']'
+++++ export GDAL_DATA=/gpfslocalsup/pub/anaconda-py3/2020.02/share/gdal
+++++ GDAL_DATA=/gpfslocalsup/pub/anaconda-py3/2020.02/share/gdal
+++++ export GDAL_DRIVER_PATH=/gpfslocalsup/pub/anaconda-py3/2020.02/lib/gdalplugins
+++++ GDAL_DRIVER_PATH=/gpfslocalsup/pub/anaconda-py3/2020.02/lib/gdalplugins
+++++ [[ ! -d /gpfslocalsup/pub/anaconda-py3/2020.02/lib/gdalplugins ]]
+++++ unset GDAL_DRIVER_PATH
+++++ export CPL_ZIP_ENCODING=UTF-8
+++++ CPL_ZIP_ENCODING=UTF-8
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/geotiff-activate.sh
+++++ [[ -n '' ]]
+++++ '[' -d /gpfslocalsup/pub/anaconda-py3/2020.02/share/epsg_csv ']'
+++++ '[' -d /gpfslocalsup/pub/anaconda-py3/2020.02/Library/share/epsg_csv ']'
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/proj4-activate.sh
+++++ '[' -n '' ']'
+++++ '[' -d /gpfslocalsup/pub/anaconda-py3/2020.02/share/proj ']'
+++++ export PROJ_LIB=/gpfslocalsup/pub/anaconda-py3/2020.02/share/proj
+++++ PROJ_LIB=/gpfslocalsup/pub/anaconda-py3/2020.02/share/proj
+++++ '[' -f /gpfslocalsup/pub/anaconda-py3/2020.02/share/proj/copyright_and_licenses.csv ']'
+++++ export PROJ_NETWORK=ON
+++++ PROJ_NETWORK=ON
++++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/activate.d/udunits2-activate.sh
+++++ [[ -n '' ]]
+++++ '[' -d /gpfslocalsup/pub/anaconda-py3/2020.02/share/udunits ']'
+++++ export UDUNITS2_XML_PATH=/gpfslocalsup/pub/anaconda-py3/2020.02/share/udunits/udunits2.xml
+++++ UDUNITS2_XML_PATH=/gpfslocalsup/pub/anaconda-py3/2020.02/share/udunits/udunits2.xml
+++ '[' 0 '!=' 0 ']'
+++ __conda_hashr
+++ '[' -n '' ']'
+++ '[' -n '' ']'
+++ hash -r
++ unset __conda_setup
++ export CONDA_ENVS_PATH=/gpfsscratch/rech/eha/commun/conda
++ CONDA_ENVS_PATH=/gpfsscratch/rech/eha/commun/conda
++ conda activate hf-prod
++ '[' 2 -lt 1 ']'
++ local cmd=activate
++ shift
++ case "$cmd" in
++ __conda_activate activate hf-prod
++ '[' -n '' ']'
++ local cmd=activate
++ shift
++ local ask_conda
++ CONDA_INTERNAL_OLDPATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
++ __add_sys_prefix_to_path
++ '[' -n '' ']'
+++ dirname /gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
++ SYSP=/gpfslocalsup/pub/anaconda-py3/2020.02/bin
+++ dirname /gpfslocalsup/pub/anaconda-py3/2020.02/bin
++ SYSP=/gpfslocalsup/pub/anaconda-py3/2020.02
++ '[' -n '' ']'
++ PATH=/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
++ export PATH
+++ PS1='(base) '
+++ /gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda shell.posix activate hf-prod
++ ask_conda='. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/udunits2-deactivate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/proj4-deactivate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/geotiff-deactivate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/gdal-deactivate.sh"
PS1='\''(/gpfsscratch/rech/eha/commun/conda/hf-prod) '\''
export PATH='\''/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin'\''
export CONDA_PREFIX='\''/gpfsscratch/rech/eha/commun/conda/hf-prod'\''
export CONDA_SHLVL='\''3'\''
export CONDA_DEFAULT_ENV='\''/gpfsscratch/rech/eha/commun/conda/hf-prod'\''
export CONDA_PROMPT_MODIFIER='\''(/gpfsscratch/rech/eha/commun/conda/hf-prod) '\''
export CONDA_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python'\''
export CONDA_PREFIX_2='\''/gpfslocalsup/pub/anaconda-py3/2020.02'\'''
++ rc=0
++ PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
++ eval '. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/udunits2-deactivate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/proj4-deactivate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/geotiff-deactivate.sh"
. "/gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/gdal-deactivate.sh"
PS1='\''(/gpfsscratch/rech/eha/commun/conda/hf-prod) '\''
export PATH='\''/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin'\''
export CONDA_PREFIX='\''/gpfsscratch/rech/eha/commun/conda/hf-prod'\''
export CONDA_SHLVL='\''3'\''
export CONDA_DEFAULT_ENV='\''/gpfsscratch/rech/eha/commun/conda/hf-prod'\''
export CONDA_PROMPT_MODIFIER='\''(/gpfsscratch/rech/eha/commun/conda/hf-prod) '\''
export CONDA_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python'\''
export CONDA_PREFIX_2='\''/gpfslocalsup/pub/anaconda-py3/2020.02'\'''
+++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/udunits2-deactivate.sh
++++ unset UDUNITS2_XML_PATH
++++ [[ -n '' ]]
+++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/proj4-deactivate.sh
++++ unset PROJ_LIB
++++ unset PROJ_NETWORK
++++ '[' -n '' ']'
+++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/geotiff-deactivate.sh
++++ unset GEOTIFF_CSV
++++ [[ -n '' ]]
+++ . /gpfslocalsup/pub/anaconda-py3/2020.02/etc/conda/deactivate.d/gdal-deactivate.sh
++++ unset GDAL_DATA
++++ [[ -n '' ]]
++++ unset GDAL_DRIVER_PATH
++++ [[ -n '' ]]
++++ unset CPL_ZIP_ENCODING
+++ PS1='(/gpfsscratch/rech/eha/commun/conda/hf-prod) '
+++ export PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ PATH=/gpfslocalsup/spack_soft/openmpi/4.0.5/gcc-8.3.1-h2g75yiqzwc5uct75ifhx5wz7uautdpr/bin:/gpfslocalsys/cuda/10.2/samples:/gpfslocalsys/cuda/10.2/nvvm/bin:/gpfslocalsys/cuda/10.2/bin:/linkhome/rech/genhug01/ura81os/bin:/linkhome/rech/genhug01/ura81os/.local/bin:/linkhome/rech/genhug01/ura81os/bin:/gpfsscratch/rech/eha/commun/conda/hf-prod/bin:/gpfslocalsup/pub/anaconda-py3/2020.02/condabin:/gpfslocalsup/spack_soft/environment-modules/4.3.1/gcc-4.8.5-ism7cdy4xverxywj27jvjstqwk5oxe2v/bin:/opt/clmgr/sbin:/opt/clmgr/bin:/opt/sgi/sbin:/opt/sgi/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/c3/bin:/usr/lpp/mmfs/bin:/sbin:/bin:/gpfslocalsys/slurm/current/bin:/gpfslocalsup/bin:/gpfslocalsys/bin:/gpfslocalsys/idrzap/current/bin
+++ export CONDA_PREFIX=/gpfsscratch/rech/eha/commun/conda/hf-prod
+++ CONDA_PREFIX=/gpfsscratch/rech/eha/commun/conda/hf-prod
+++ export CONDA_SHLVL=3
+++ CONDA_SHLVL=3
+++ export CONDA_DEFAULT_ENV=/gpfsscratch/rech/eha/commun/conda/hf-prod
+++ CONDA_DEFAULT_ENV=/gpfsscratch/rech/eha/commun/conda/hf-prod
+++ export 'CONDA_PROMPT_MODIFIER=(/gpfsscratch/rech/eha/commun/conda/hf-prod) '
+++ CONDA_PROMPT_MODIFIER='(/gpfsscratch/rech/eha/commun/conda/hf-prod) '
+++ export CONDA_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
+++ CONDA_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python
+++ CONDA_PYTHON_EXE=/gpfslocalsup/pub/anaconda-py3/2020.02/bin/python
+++ export CONDA_PREFIX_2=/gpfslocalsup/pub/anaconda-py3/2020.02
+++ CONDA_PREFIX_2=/gpfslocalsup/pub/anaconda-py3/2020.02
++ '[' 0 '!=' 0 ']'
++ __conda_hashr
++ '[' -n '' ']'
++ '[' -n '' ']'
++ hash -r
+ nvidia-smi
Mon May 24 09:40:12 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla V100-SXM2...  On   | 00000000:1A:00.0 Off |                    0 |
| N/A   44C    P0    45W / 300W |      0MiB / 32510MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   1  Tesla V100-SXM2...  On   | 00000000:1C:00.0 Off |                    0 |
| N/A   45C    P0    45W / 300W |      0MiB / 32510MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   2  Tesla V100-SXM2...  On   | 00000000:88:00.0 Off |                    0 |
| N/A   44C    P0    46W / 300W |      0MiB / 32510MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   3  Tesla V100-SXM2...  On   | 00000000:8A:00.0 Off |                    0 |
| N/A   44C    P0    44W / 300W |      0MiB / 32510MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
+ cd /linkhome/rech/genhug01/ura81os/prod/code/megatron-lm/
+ CHECKPOINT_PATH=/gpfsscratch/rech/eha/commun/models-custom/megatron-gpt2/megatron_lm_345m_v0.0/release
+ VOCAB_FILE=/gpfsscratch/rech/eha/commun/models-custom/megatron-gpt2/megatron_lm_345m_v0.0/release/gpt2-vocab.json
+ MERGE_FILE=/gpfsscratch/rech/eha/commun/models-custom/megatron-gpt2/megatron_lm_345m_v0.0/release/gpt2-merges.txt
+ DATA_PATH=/gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document
+ SAVE_CHECKPOINT_PATH=/gpfsscratch/rech/eha/commun/checkpoints/gpt2-1-node
++ perl -le '$_=$ENV{"SLURM_JOB_NODELIST"}; s/,.*//; s/-.*//; s/\[//; print'
+ MASTER_ADDR=r6i4n3
+ MASTER_PORT=6000
+ NODE_RANK=0
+ NNODES=64
+ PP_SIZE=64
+ MSIZE=193
+ [[ 193 == 7 ]]
+ [[ 193 == 14 ]]
+ [[ 193 == 18 ]]
+ [[ 193 == 23 ]]
+ [[ 193 == 28 ]]
+ [[ 193 == 39 ]]
+ [[ 193 == 48 ]]
+ [[ 193 == 61 ]]
+ [[ 193 == 75 ]]
+ [[ 193 == 91 ]]
+ [[ 193 == 109 ]]
+ [[ 193 == 127 ]]
+ [[ 193 == 148 ]]
+ [[ 193 == 169 ]]
+ [[ 193 == 193 ]]
+ NHIDDEN=16384
+ NLAYERS=64
+ GPUS_PER_NODE=4
+ NHEADS=32
+ SEQ_LEN=1024
+ VOCAB_SIZE=50257
+ MICRO_BATCH_SIZE=1
+ PP_CHUNKS=4
+ DP_SIZE=1
+ TP_SIZE=4
+ GLOBAL_BATCH_SIZE=4
+ WORLD_SIZE=256
+ GPT_ARGS='     --num-layers 64     --hidden-size 16384     --num-attention-heads 32     --seq-length 1024     --max-position-embeddings 1024     --micro-batch-size 1     --global-batch-size 4
    --lr 0.00015     --lr-decay-style cosine     --min-lr 1.0e-5     --train-iters 1000     --lr-decay-iters 800     --lr-warmup-fraction .01     --weight-decay 1e-2     --clip-grad 1.0     --vocab-file /gpfsscratch/rech/eha/commun/models-custom/megatron-gpt2/megatron_lm_345m_v0.0/release/gpt2-vocab.json     --merge-file /gpfsscratch/rech/eha/commun/models-custom/megatron-gpt2/megatron_lm_345m_v0.0/release/gpt2-merges.txt     --fp16     --checkpoint-activations     '
+ OUTPUT_ARGS='     --log-interval 10     --save-interval 500     --eval-interval 100     --eval-iters 10     '
+ export 'LAUNCHER=python -u -m torch.distributed.launch     --nproc_per_node 4     --nnodes 64     --master_addr r6i4n3     --master_port 6000     '
+ LAUNCHER='python -u -m torch.distributed.launch     --nproc_per_node 4     --nnodes 64     --master_addr r6i4n3     --master_port 6000     '
++ pwd
+ export 'CMD=     /linkhome/rech/genhug01/ura81os/prod/code/megatron-lm/pretrain_gpt.py     --tensor-model-parallel-size 4     --pipeline-model-parallel-size 64          --num-layers 64     --hidden-size 16384     --num-attention-heads 32     --seq-length 1024     --max-position-embeddings 1024     --micro-batch-size 1     --global-batch-size 4
    --lr 0.00015     --lr-decay-style cosine     --min-lr 1.0e-5     --train-iters 1000     --lr-decay-iters 800     --lr-warmup-fraction .01     --weight-decay 1e-2     --clip-grad 1.0     --vocab-file /gpfsscratch/rech/eha/commun/models-custom/megatron-gpt2/megatron_lm_345m_v0.0/release/gpt2-vocab.json     --merge-file /gpfsscratch/rech/eha/commun/models-custom/megatron-gpt2/megatron_lm_345m_v0.0/release/gpt2-merges.txt     --fp16     --checkpoint-activations               --log-interval 10     --save-interval 500     --eval-interval 100     --eval-iters 10          --save /gpfsscratch/rech/eha/commun/checkpoints/gpt2-1-node     --load /gpfsscratch/rech/eha/commun/checkpoints/gpt2-1-node     --data-path /gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document     --data-impl mmap     --split 949,50,1     --distributed-backend nccl     '
+ CMD='     /linkhome/rech/genhug01/ura81os/prod/code/megatron-lm/pretrain_gpt.py     --tensor-model-parallel-size 4     --pipeline-model-parallel-size 64          --num-layers 64     --hidden-size 16384     --num-attention-heads 32     --seq-length 1024     --max-position-embeddings 1024     --micro-batch-size 1     --global-batch-size 4
    --lr 0.00015     --lr-decay-style cosine     --min-lr 1.0e-5     --train-iters 1000     --lr-decay-iters 800     --lr-warmup-fraction .01     --weight-decay 1e-2     --clip-grad 1.0     --vocab-file /gpfsscratch/rech/eha/commun/models-custom/megatron-gpt2/megatron_lm_345m_v0.0/release/gpt2-vocab.json     --merge-file /gpfsscratch/rech/eha/commun/models-custom/megatron-gpt2/megatron_lm_345m_v0.0/release/gpt2-merges.txt     --fp16     --checkpoint-activations               --log-interval 10     --save-interval 500     --eval-interval 100     --eval-iters 10          --save /gpfsscratch/rech/eha/commun/checkpoints/gpt2-1-node     --load /gpfsscratch/rech/eha/commun/checkpoints/gpt2-1-node     --data-path /gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document     --data-impl mmap     --split 949,50,1     --distributed-backend nccl     '
+ rm -rf /gpfsscratch/rech/eha/commun/checkpoints/gpt2-1-node
+ python -c 'h=16384; l=64; s=1024; v=50257; print(f'\''Model size: {(l * (12*h**2 + 13*h) + (v * h) + (s * h) ) / 2**30 :.0f}B'\'')'
Model size: 193B
+ srun --jobid 1809655 bash -c '$LAUNCHER --node_rank $SLURM_PROCID $CMD'
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
using world size: 256, data-parallel-size: 1, tensor-model-parallel size: 4, pipeline-model-parallel size: 64 
using torch.float16 for parameters ...
------------------------ arguments ------------------------
  accumulate_allreduce_grads_in_fp32 .............. False
  adam_beta1 ...................................... 0.9
  adam_beta2 ...................................... 0.999
  adam_eps ........................................ 1e-08
  adlr_autoresume ................................. False
  adlr_autoresume_interval ........................ 1000
  apply_query_key_layer_scaling ................... True
  apply_residual_connection_post_layernorm ........ False
  attention_dropout ............................... 0.1
  attention_softmax_in_fp32 ....................... False
  bert_binary_head ................................ True
  bert_load ....................................... None
  bf16 ............................................ False
  bias_dropout_fusion ............................. True
  bias_gelu_fusion ................................ True
  biencoder_projection_dim ........................ 0
  biencoder_shared_query_context_model ............ False
  block_data_path ................................. None
  checkpoint_activations .......................... True
  checkpoint_num_layers ........................... 1
  clip_grad ....................................... 1.0
  consumed_train_samples .......................... 0
  consumed_valid_samples .......................... 0
  data_impl ....................................... mmap
  data_parallel_size .............................. 1
  data_path ....................................... ['/gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document']
  dataloader_type ................................. single
  DDP_impl ........................................ local
  decoder_seq_length .............................. None
  distribute_checkpointed_activations ............. False
  distributed_backend ............................. nccl
  embedding_path .................................. None
  encoder_seq_length .............................. 1024
  eod_mask_loss ................................... False
  eval_interval ................................... 100
  eval_iters ...................................... 10
  evidence_data_path .............................. None
  exit_duration_in_mins ........................... None
  exit_interval ................................... None
  ffn_hidden_size ................................. 65536
  finetune ........................................ False
  fp16 ............................................ True
  fp16_lm_cross_entropy ........................... False
  fp32_residual_connection ........................ False
  global_batch_size ............................... 4
  hidden_dropout .................................. 0.1
  hidden_size ..................................... 16384
  hysteresis ...................................... 2
  ict_head_size ................................... None
  ict_load ........................................ None
  img_dim ......................................... 224
  indexer_batch_size .............................. 128
  indexer_log_interval ............................ 1000
  init_method_std ................................. 0.02
  init_method_xavier_uniform ...................... False
  initial_loss_scale .............................. 4294967296
  kv_channels ..................................... 512
  layernorm_epsilon ............................... 1e-05
  lazy_mpu_init ................................... None
  load ............................................ /gpfsscratch/rech/eha/commun/checkpoints/gpt2-1-node
  local_rank ...................................... 0
  log_batch_size_to_tensorboard ................... False
  log_interval .................................... 10
  log_learning_rate_to_tensorboard ................ True
  log_loss_scale_to_tensorboard ................... True
  log_num_zeros_in_grad ........................... False
  log_params_norm ................................. False
  log_timers_to_tensorboard ....................... False
  log_validation_ppl_to_tensorboard ............... False
  loss_scale ...................................... None
  loss_scale_window ............................... 1000
  lr .............................................. 0.00015
  lr_decay_iters .................................. 800
  lr_decay_samples ................................ None
  lr_decay_style .................................. cosine
  lr_warmup_fraction .............................. 0.01
  lr_warmup_iters ................................. 0
  lr_warmup_samples ............................... 0
  make_vocab_size_divisible_by .................... 128
  mask_prob ....................................... 0.15
  masked_softmax_fusion ........................... True
  max_position_embeddings ......................... 1024
  merge_file ...................................... /gpfsscratch/rech/eha/commun/models-custom/megatron-gpt2/megatron_lm_345m_v0.0/release/gpt2-merges.txt
  micro_batch_size ................................ 1
  min_loss_scale .................................. 1.0
  min_lr .......................................... 1e-05
  mmap_warmup ..................................... False
  no_load_optim ................................... None
  no_load_rng ..................................... None
  no_save_optim ................................... None
  no_save_rng ..................................... None
  num_attention_heads ............................. 32
  num_channels .................................... 3
  num_classes ..................................... 1000
  num_layers ...................................... 64
  num_layers_per_virtual_pipeline_stage ........... None
  num_workers ..................................... 2
  onnx_safe ....................................... None
  openai_gelu ..................................... False
  optimizer ....................................... adam
  override_lr_scheduler ........................... False
  params_dtype .................................... torch.float16
  patch_dim ....................................... 16
  pipeline_model_parallel_size .................... 64
  query_in_block_prob ............................. 0.1
  rampup_batch_size ............................... None
  rank ............................................ 0
  reset_attention_mask ............................ False
  reset_position_ids .............................. False
  retriever_report_topk_accuracies ................ []
  retriever_score_scaling ......................... False
  retriever_seq_length ............................ 256
  sample_rate ..................................... 1.0
  save ............................................ /gpfsscratch/rech/eha/commun/checkpoints/gpt2-1-node
  save_interval ................................... 500
  scatter_gather_tensors_in_pipeline .............. True
  seed ............................................ 1234
  seq_length ...................................... 1024
  sgd_momentum .................................... 0.9
  short_seq_prob .................................. 0.1
  split ........................................... 949,50,1
  tensor_model_parallel_size ...................... 4
  tensorboard_dir ................................. None
  tensorboard_log_interval ........................ 1
  tensorboard_queue_size .......................... 1000
  titles_data_path ................................ None
  tokenizer_type .................................. GPT2BPETokenizer
  train_iters ..................................... 1000
  train_samples ................................... None
  use_checkpoint_lr_scheduler ..................... False
  use_contiguous_buffers_in_ddp ................... False
  use_cpu_initialization .......................... None
  use_one_sent_docs ............................... False
  virtual_pipeline_model_parallel_size ............ None
  vocab_extra_ids ................................. 0
  vocab_file ...................................... /gpfsscratch/rech/eha/commun/models-custom/megatron-gpt2/megatron_lm_345m_v0.0/release/gpt2-vocab.json
  weight_decay .................................... 0.01
  world_size ...................................... 256
-------------------- end of arguments ---------------------
setting number of micro-batches to constant 4
> building GPT2BPETokenizer tokenizer ...
 > padded vocab (size: 50257) with 431 dummy tokens (new size: 50688)
> initializing torch distributed ...
> initializing tensor model parallel with size 4
> initializing pipeline model parallel with size 64
> setting random seeds to 1234 ...
> initializing model parallel cuda seeds on global rank 0, model parallel rank 0, and data parallel rank 0 with model parallel seed: 3952 and data parallel seed: 1234
> compiling dataset index builder ...
make: Entering directory '/gpfsdswork/projects/rech/eha/commun/code/megatron-lm/megatron/data'
make: Nothing to be done for 'default'.
make: Leaving directory '/gpfsdswork/projects/rech/eha/commun/code/megatron-lm/megatron/data'
>>> done with dataset index builder. Compilation time: 0.138 seconds
> compiling and loading fused kernels ...
/gpfsscratch/rech/eha/commun/conda/hf-prod/lib/python3.8/site-packages/torch/utils/cpp_extension.py:283: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
Detected CUDA files, patching ldflags
Emitting ninja build file /gpfsdswork/projects/rech/eha/commun/code/megatron-lm/megatron/fused_kernels/build/build.ninja...
Building extension module scaled_upper_triang_masked_softmax_cuda...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
ninja: no work to do.
Loading extension module scaled_upper_triang_masked_softmax_cuda...
/gpfsscratch/rech/eha/commun/conda/hf-prod/lib/python3.8/site-packages/torch/utils/cpp_extension.py:283: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
Detected CUDA files, patching ldflags
Emitting ninja build file /gpfsdswork/projects/rech/eha/commun/code/megatron-lm/megatron/fused_kernels/build/build.ninja...
Building extension module scaled_masked_softmax_cuda...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
ninja: no work to do.
Loading extension module scaled_masked_softmax_cuda...
/gpfsscratch/rech/eha/commun/conda/hf-prod/lib/python3.8/site-packages/torch/utils/cpp_extension.py:283: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
Detected CUDA files, patching ldflags
Emitting ninja build file /gpfsdswork/projects/rech/eha/commun/code/megatron-lm/megatron/fused_kernels/build/build.ninja...
Building extension module fused_mix_prec_layer_norm_cuda...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
ninja: no work to do.
Loading extension module fused_mix_prec_layer_norm_cuda...
/gpfsscratch/rech/eha/commun/conda/hf-prod/lib/python3.8/site-packages/torch/utils/cpp_extension.py:283: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
/gpfsscratch/rech/eha/commun/conda/hf-prod/lib/python3.8/site-packages/torch/utils/cpp_extension.py:283: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
/gpfsscratch/rech/eha/commun/conda/hf-prod/lib/python3.8/site-packages/torch/utils/cpp_extension.py:283: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
/gpfsscratch/rech/eha/commun/conda/hf-prod/lib/python3.8/site-packages/torch/utils/cpp_extension.py:283: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
/gpfsscratch/rech/eha/commun/conda/hf-prod/lib/python3.8/site-packages/torch/utils/cpp_extension.py:283: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
/gpfsscratch/rech/eha/commun/conda/hf-prod/lib/python3.8/site-packages/torch/utils/cpp_extension.py:283: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
/gpfsscratch/rech/eha/commun/conda/hf-prod/lib/python3.8/site-packages/torch/utils/cpp_extension.py:283: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
/gpfsscratch/rech/eha/commun/conda/hf-prod/lib/python3.8/site-packages/torch/utils/cpp_extension.py:283: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
/gpfsscratch/rech/eha/commun/conda/hf-prod/lib/python3.8/site-packages/torch/utils/cpp_extension.py:283: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
>>> done with compiling and loading fused kernels. Compilation time: 11.255 seconds
time to initialize megatron (seconds): -10.648
[after megatron is initialized] datetime: 2021-05-24 09:40:37 
building GPT model ...
 > number of parameters on (tensor, pipeline) model parallel rank (3, 39): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 39): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 39): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 12): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 54): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 12): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 39): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 54): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 54): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 12): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 12): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 7): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 7): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 55): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 7): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 54): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 3): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 55): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 3): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 55): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 55): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 14): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 4): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 3): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 21): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 4): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 3): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 14): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 4): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 7): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 11): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 21): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 14): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 4): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 21): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 14): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 2): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 11): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 21): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 2): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 11): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 2): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 11): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 6): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 8): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 1): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 8): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 2): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 1): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 8): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 6): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 6): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 8): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 6): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 1): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 1): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 13): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 13): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 13): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 40): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (2, 40): 805433344

 > number of parameters on (tensor, pipeline) model parallel rank (1, 13): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 40): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 40): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 56): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 56): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 56): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 56): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 25): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 25): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 50): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 25): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 50): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 50): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 25): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 23): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 22): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 22): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 50): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 35): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 35): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 23): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 23): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 35): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 22): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 60): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 23): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 35): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 45): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 22): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 60): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 32): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (1, 32): 805433344

 > number of parameters on (tensor, pipeline) model parallel rank (1, 60): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 45): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (0, 45): 805433344

 > number of parameters on (tensor, pipeline) model parallel rank (2, 32): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 60): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 32): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 45): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 36): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 36): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 36): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 36): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 5): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 5): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 5): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 5): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 52): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 52): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 16): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 52): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 16): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 52): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 16): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 16): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 43): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 43): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 43): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 43): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 41): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (1, 41): 805433344

 > number of parameters on (tensor, pipeline) model parallel rank (0, 41): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 59): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 59): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 41): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 59): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 59): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 9): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 9): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 9): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (2, 9): 805433344

 > number of parameters on (tensor, pipeline) model parallel rank (0, 34): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 61): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 34): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 34): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 61): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 53): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 61): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 47): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 47): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 34): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 47): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 61): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 53): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 53): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 53): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 47): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 18): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 18): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 18): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 20): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 20): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 20): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 24): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 24): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 24): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 18): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 20): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 24): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 62): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 31): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 31): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 62): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 31): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 62): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 31): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 62): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 57): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 57): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 57): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 57): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 44): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (0, 44): 805433344

 > number of parameters on (tensor, pipeline) model parallel rank (1, 44): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 44): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 30): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 30): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 30): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 37): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 37): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 46): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (0, 46): 805433344

 > number of parameters on (tensor, pipeline) model parallel rank (3, 30): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 37): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 38): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 46): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 38): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 46): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 37): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 38): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 38): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 17): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 17): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 17): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 17): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 10): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 15): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 15): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 10): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 15): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 10): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 27): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (3, 27): 805433344

 > number of parameters on (tensor, pipeline) model parallel rank (2, 10): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 33): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (1, 33): 805433344

 > number of parameters on (tensor, pipeline) model parallel rank (1, 27): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 33): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 15): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 27): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 51): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (0, 51): 805433344

 > number of parameters on (tensor, pipeline) model parallel rank (3, 33): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 51): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 51): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 19): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 19): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 19): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 19): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 49): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 49): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 49): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 49): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 29): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 29): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 29): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 29): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 42): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 42): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 42): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 42): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 48): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 48): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 48): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 48): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 28): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (3, 28): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (1, 28): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (2, 28): 805433344
 > number of parameters on (tensor, pipeline) model parallel rank (0, 58): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (3, 58): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (2, 58): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (1, 58): 805433344



 > number of parameters on (tensor, pipeline) model parallel rank (2, 26): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (3, 26): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (0, 26): 805433344 > number of parameters on (tensor, pipeline) model parallel rank (1, 26): 805433344



 > number of parameters on (tensor, pipeline) model parallel rank (3, 0): 1029828608
 > number of parameters on (tensor, pipeline) model parallel rank (0, 0): 1029828608
 > number of parameters on (tensor, pipeline) model parallel rank (1, 0): 1029828608
 > number of parameters on (tensor, pipeline) model parallel rank (0, 63): 1013084160 > number of parameters on (tensor, pipeline) model parallel rank (1, 63): 1013084160

 > number of parameters on (tensor, pipeline) model parallel rank (2, 0): 1029828608
 > number of parameters on (tensor, pipeline) model parallel rank (3, 63): 1013084160
 > number of parameters on (tensor, pipeline) model parallel rank (2, 63): 1013084160
> learning rate decay style: cosine
WARNING: could not find the metadata file /gpfsscratch/rech/eha/commun/checkpoints/gpt2-1-node/latest_checkpointed_iteration.txt 
    will not load any checkpoints and will start from random
time (ms) | load-checkpoint: 7.56
[after model, optimizer, and learning rate scheduler are built] datetime: 2021-05-24 09:40:37 
> building train, validation, and test datasets ...
 > datasets target sizes (minimum size):
    train:      4000
    validation: 440
    test:       40
> building train, validation, and test datasets for GPT ...
 > building dataset index ...
    reading sizes...
    reading pointers...
    reading document index...
    creating numpy buffer of mmap...
    creating memory view of numpy buffer...
 > finished creating indexed dataset in 0.020576 seconds
    number of documents: 10000
 > dataset split:
    train:
     document indices in [0, 9490) total of 9490 documents
    validation:
     document indices in [9490, 9990) total of 500 documents
    test:
     document indices in [9990, 10000) total of 10 documents
 > loading doc-idx mapping from /gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document_train_indexmap_4000ns_1024sl_1234s_doc_idx.npy
 > loading sample-idx mapping from /gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document_train_indexmap_4000ns_1024sl_1234s_sample_idx.npy
 > loading shuffle-idx mapping from /gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document_train_indexmap_4000ns_1024sl_1234s_shuffle_idx.npy
    loaded indexed file in 0.005 seconds
    total number of samples: 10353
    total number of epochs: 1
 > loading doc-idx mapping from /gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document_valid_indexmap_440ns_1024sl_1234s_doc_idx.npy
 > loading sample-idx mapping from /gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document_valid_indexmap_440ns_1024sl_1234s_sample_idx.npy
 > loading shuffle-idx mapping from /gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document_valid_indexmap_440ns_1024sl_1234s_shuffle_idx.npy
    loaded indexed file in 0.011 seconds
    total number of samples: 622
    total number of epochs: 1
 > loading doc-idx mapping from /gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document_test_indexmap_40ns_1024sl_1234s_doc_idx.npy
 > loading sample-idx mapping from /gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document_test_indexmap_40ns_1024sl_1234s_sample_idx.npy
 > loading shuffle-idx mapping from /gpfsscratch/rech/eha/commun/datasets-custom/openwebtext-10k/meg-gpt2_text_document_test_indexmap_40ns_1024sl_1234s_shuffle_idx.npy
    loaded indexed file in 0.003 seconds
    total number of samples: 46
    total number of epochs: 3
> finished creating GPT datasets ...
[after dataloaders are built] datetime: 2021-05-24 09:40:38 
done with setup ...
training ...
time (ms) | model-and-optimizer-setup: 583.35 | train/valid/test-data-iterators-setup: 553.61
[before the start of training step] datetime: 2021-05-24 09:40:38 
 iteration       10/    1000 | consumed samples:           40 | elapsed time per iteration (ms): 19932.4 | learning rate: 0.000E+00 | global batch size:     4 | loss scale: 8388608.0 | number of skipped iterations:  10 | number of nan iterations:   0 |
time (ms) | forward-compute: 247.63 | forward-recv: 10007.14 | backward-compute: 393.41 | backward-send: 64.94 | backward-send-forward-recv: 164.43 | backward-params-all-reduce: 24.67 | backward-embedding-all-reduce: 8893.37 | optimizer-copy-to-main-grad: 8.92 | optimizer-unscale-and-check-inf: 126.73 | optimizer: 135.84 | batch-generator: 3.09
 iteration       20/    1000 | consumed samples:           80 | elapsed time per iteration (ms): 6707.5 | learning rate: 3.750E-05 | global batch size:     4 | lm loss: 1.412743E+01 | loss scale: 32768.0 | number of skipped iterations:   8 | number of nan iterations:   0 |
[Rank 20] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 48] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 92] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 128] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 56] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 8] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 36] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 28] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 156] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 140] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 216] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 32] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 16] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 0] (after 20 iterations) memory (MB) | allocated: 19642.42578125 | max allocated: 22769.7333984375 | reserved: 25658.0 | max reserved: 25658.0
[Rank 40] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 12] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 80] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 76] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 96] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 104] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 152] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 208] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 64] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 164] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 212] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 52] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 44] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 84] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 124] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 4] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 148] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 188] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 180] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 144] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 88] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 160] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 24] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 224] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 168] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 228] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 172] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 132] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 68] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 220] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 60] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 196] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 236] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 204] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 108] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 240] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 176] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 136] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 112] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 184] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 72] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 192] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 232] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 200] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 120] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22770.0 | max reserved: 22770.0
[Rank 100] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 116] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 244] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22384.0 | max reserved: 22384.0
[Rank 248] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 17980.68359375 | reserved: 21280.0 | max reserved: 21280.0
[Rank 252] (after 20 iterations) memory (MB) | allocated: 19387.0517578125 | max allocated: 22241.125 | reserved: 26940.0 | max reserved: 26940.0
[Rank 27] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 39] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 29] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 7] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 23] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 117] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 149] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 21] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 89] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 161] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 25] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 78] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 102] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 215] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 214] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 53] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 127] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 6] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 22] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 142] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 145] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 35] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 11] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 26] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 227] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 62] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 111] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 187] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 75] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 211] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 95] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 38] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 30] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 54] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 46] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 125] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 150] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 183] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 146] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 43] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 14] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 79] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 103] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 71] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 119] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 197] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 246] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22384.0 | max reserved: 22384.0
[Rank 51] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 107] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 139] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 153] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 155] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 115] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 235] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 210] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 123] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 66] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 167] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 37] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 189] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 218] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 18] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 171] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 77] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 101] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 118] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 223] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 221] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 61] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 198] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 238] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 105] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 177] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 201] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 65] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 166] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 191] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 169] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 63] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 199] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 110] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 179] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 226] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 253] (after 20 iterations) memory (MB) | allocated: 19387.0517578125 | max allocated: 22241.125 | reserved: 26940.0 | max reserved: 26940.0
[Rank 234] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 233] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 249] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 17980.68359375 | reserved: 21280.0 | max reserved: 21280.0
[Rank 34] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 50] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 42] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 254] (after 20 iterations) memory (MB) | allocated: 19387.0517578125 | max allocated: 22241.125 | reserved: 26940.0 | max reserved: 26940.0
[Rank 138] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 154] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 17] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 19] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 178] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 147] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 57] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 1] (after 20 iterations) memory (MB) | allocated: 19642.42578125 | max allocated: 22769.7333984375 | reserved: 27112.0 | max reserved: 27112.0
[Rank 158] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 217] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 219] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 41] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 83] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 98] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 49] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 186] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 67] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 93] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 45] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 126] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 5] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 190] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 182] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 129] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 90] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 9] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 170] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 174] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 69] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 222] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 97] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 122] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 165] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 213] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 31] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 55] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 47] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 151] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 141] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 181] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 33] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 10] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 163] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 230] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 247] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22384.0 | max reserved: 22384.0[Rank 245] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22384.0 | max reserved: 22384.0

[Rank 207] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 109] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 99] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 137] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 185] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 194] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 209] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 121] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22770.0 | max reserved: 22770.0
[Rank 94] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 85] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 87] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 143] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 131] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 91] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 58] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 162] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 225] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 15] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 13] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 82] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 70] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 237] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 106] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 243] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 241] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 73] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 193] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 202] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 86] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 157] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 159] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 130] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 59] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 81] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 229] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 231] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 175] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 173] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 239] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 242] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 74] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 250] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 17980.68359375 | reserved: 21280.0 | max reserved: 21280.0
[Rank 251] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 17980.68359375 | reserved: 21280.0 | max reserved: 21280.0
[Rank 195] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 203] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 135] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 113] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 114] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 3] (after 20 iterations) memory (MB) | allocated: 19642.42578125 | max allocated: 22769.7333984375 | reserved: 27196.0 | max reserved: 27196.0[Rank 2] (after 20 iterations) memory (MB) | allocated: 19642.42578125 | max allocated: 22769.7333984375 | reserved: 27112.0 | max reserved: 27112.0

[Rank 134] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 206] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0[Rank 205] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0

[Rank 133] (after 20 iterations) memory (MB) | allocated: 15426.42578125 | max allocated: 18045.68359375 | reserved: 22290.0 | max reserved: 22290.0
[Rank 255] (after 20 iterations) memory (MB) | allocated: 19387.0517578125 | max allocated: 22241.125 | reserved: 26940.0 | max reserved: 26940.0
time (ms) | forward-compute: 119.83 | forward-recv: 1587.01 | backward-compute: 324.58 | backward-send: 2.61 | backward-send-forward-recv: 12.59 | backward-params-all-reduce: 22.27 | backward-embedding-all-reduce: 4553.90 | optimizer-copy-to-main-grad: 8.93 | optimizer-unscale-and-check-inf: 49.06 | optimizer-clip-main-grad: 14.42 | optimizer-copy-main-to-model-params: 1.80 | optimizer: 83.73 | batch-generator: 2.81
 iteration       30/    1000 | consumed samples:          120 | elapsed time per iteration (ms): 6746.5 | learning rate: 1.500E-04 | global batch size:     4 | lm loss: 7.676836E+01 | loss scale: 16384.0 | grad norm: 126.963 | number of skipped iterations:   1 | number of nan iterations:   0 |
time (ms) | forward-compute: 119.11 | forward-recv: 1582.56 | backward-compute: 322.07 | backward-send: 2.50 | backward-send-forward-recv: 12.71 | backward-params-all-reduce: 20.09 | backward-embedding-all-reduce: 4589.98 | optimizer-copy-to-main-grad: 8.94 | optimizer-unscale-and-check-inf: 29.41 | optimizer-clip-main-grad: 14.30 | optimizer-copy-main-to-model-params: 8.10 | optimizer: 96.20 | batch-generator: 2.84
 iteration       40/    1000 | consumed samples:          160 | elapsed time per iteration (ms): 6736.4 | learning rate: 1.499E-04 | global batch size:     4 | lm loss: 3.169739E+01 | loss scale: 16384.0 | grad norm: 13.641 | number of skipped iterations:   0 | number of nan iterations:   0 |
time (ms) | forward-compute: 118.65 | forward-recv: 1581.02 | backward-compute: 321.30 | backward-send: 1.96 | backward-send-forward-recv: 14.48 | backward-params-all-reduce: 20.05 | backward-embedding-all-reduce: 4576.65 | optimizer-copy-to-main-grad: 8.94 | optimizer-unscale-and-check-inf: 28.10 | optimizer-clip-main-grad: 15.90 | optimizer-copy-main-to-model-params: 9.01 | optimizer: 101.33 | batch-generator: 2.83
 iteration       50/    1000 | consumed samples:          200 | elapsed time per iteration (ms): 6715.3 | learning rate: 1.497E-04 | global batch size:     4 | lm loss: 2.114738E+01 | loss scale: 16384.0 | grad norm: 13.290 | number of skipped iterations:   0 | number of nan iterations:   0 |
time (ms) | forward-compute: 118.47 | forward-recv: 1575.55 | backward-compute: 320.30 | backward-send: 2.16 | backward-send-forward-recv: 14.31 | backward-params-all-reduce: 20.02 | backward-embedding-all-reduce: 4561.75 | optimizer-copy-to-main-grad: 8.94 | optimizer-unscale-and-check-inf: 28.61 | optimizer-clip-main-grad: 15.88 | optimizer-copy-main-to-model-params: 9.01 | optimizer: 101.80 | batch-generator: 2.85
 iteration       60/    1000 | consumed samples:          240 | elapsed time per iteration (ms): 6703.7 | learning rate: 1.494E-04 | global batch size:     4 | lm loss: 1.696940E+01 | loss scale: 16384.0 | grad norm: 14.171 | number of skipped iterations:   0 | number of nan iterations:   0 |
time (ms) | forward-compute: 118.27 | forward-recv: 1573.04 | backward-compute: 320.04 | backward-send: 2.12 | backward-send-forward-recv: 14.29 | backward-params-all-reduce: 19.96 | backward-embedding-all-reduce: 4553.78 | optimizer-copy-to-main-grad: 8.94 | optimizer-unscale-and-check-inf: 27.99 | optimizer-clip-main-grad: 15.90 | optimizer-copy-main-to-model-params: 9.01 | optimizer: 101.23 | batch-generator: 2.82
srun: Job step aborted: Waiting up to 62 seconds for job step to finish.
Killing subprocess 43950
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Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Killing subprocess 11730
Killing subprocess 30650
Killing subprocess 43953
Main process received SIGTERM, exiting
Killing subprocess 25431
Main process received SIGTERM, exiting
Killing subprocess 63052
Killing subprocess 48325
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Killing subprocess 70986
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Killing subprocess 35031
Main process received SIGTERM, exiting
Killing subprocess 63053
Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Killing subprocess 35147
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Killing subprocess 48327
Killing subprocess 70987
Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Killing subprocess 70988
Killing subprocess 19458
Killing subprocess 70989
Main process received SIGTERM, exiting
Killing subprocess 19459
Main process received SIGTERM, exiting
Killing subprocess 19460
Killing subprocess 28202
Main process received SIGTERM, exiting
Killing subprocess 28203
Killing subprocess 59735
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Killing subprocess 43398
slurmstepd: error: *** STEP 1809655.0 ON r6i4n3 CANCELLED AT 2021-05-24T09:50:34 DUE TO TIME LIMIT ***
Main process received SIGTERM, exiting
Killing subprocess 13751
slurmstepd: error: *** JOB 1809655 ON r6i4n3 CANCELLED AT 2021-05-24T09:50:34 DUE TO TIME LIMIT ***
Killing subprocess 43399
Killing subprocess 66970
Killing subprocess 66369
Killing subprocess 43400
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Killing subprocess 66370
Killing subprocess 22698
Killing subprocess 35364
Killing subprocess 41298
Main process received SIGTERM, exiting
Killing subprocess 66371
Main process received SIGTERM, exiting
Killing subprocess 13752
Killing subprocess 13753
Killing subprocess 17632
Main process received SIGTERM, exiting
Killing subprocess 43401
Killing subprocess 31655
Main process received SIGTERM, exiting
Killing subprocess 66372
Main process received SIGTERM, exiting
Killing subprocess 22699
Killing subprocess 60912
Killing subprocess 31656
Main process received SIGTERM, exiting
Killing subprocess 17633
Killing subprocess 20240
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Killing subprocess 17634
Killing subprocess 31657
Killing subprocess 60913
Killing subprocess 22700
Main process received SIGTERM, exiting
Killing subprocess 22701
Killing subprocess 17305
Killing subprocess 43536
Killing subprocess 17635
Main process received SIGTERM, exiting
Killing subprocess 47075
Main process received SIGTERM, exiting
Killing subprocess 20241
Main process received SIGTERM, exiting
Killing subprocess 33630
Killing subprocess 36638
Killing subprocess 47076
Killing subprocess 75090
Killing subprocess 60914
Killing subprocess 64390
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Killing subprocess 44345
Main process received SIGTERM, exiting
Killing subprocess 26263
Killing subprocess 36639
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Killing subprocess 17307
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Killing subprocess 33631
Main process received SIGTERM, exiting
Killing subprocess 45617
Killing subprocess 3835
Killing subprocess 75092
Killing subprocess 20243
Killing subprocess 64391
Killing subprocess 33632
Killing subprocess 36640
Killing subprocess 19803
Main process received SIGTERM, exiting
Killing subprocess 44346
Killing subprocess 41928
Killing subprocess 26528
Main process received SIGTERM, exiting
Killing subprocess 72676
Killing subprocess 35285
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Killing subprocess 26265
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Killing subprocess 45618
Main process received SIGTERM, exiting
Killing subprocess 35287
Killing subprocess 41929
Killing subprocess 36641
Killing subprocess 69071
Killing subprocess 19804
Killing subprocess 64392
Killing subprocess 26266
Killing subprocess 72677
Killing subprocess 74729
Main process received SIGTERM, exiting
Killing subprocess 60752
Killing subprocess 45619
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Killing subprocess 19805
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Killing subprocess 63402
Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Killing subprocess 35743
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Killing subprocess 60753
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Main process received SIGTERM, exiting
Killing subprocess 67418
Killing subprocess 38272
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Killing subprocess 25565
Killing subprocess 60754
Killing subprocess 45620
Killing subprocess 35290
Main process received SIGTERM, exiting
Killing subprocess 18487
Main process received SIGTERM, exiting
Killing subprocess 63403
Killing subprocess 8511
Killing subprocess 55611
Killing subprocess 24388
Main process received SIGTERM, exiting
Killing subprocess 69073
Main process received SIGTERM, exiting
Killing subprocess 67419
Killing subprocess 38273
Killing subprocess 63404
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Killing subprocess 24389
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Killing subprocess 69074
Killing subprocess 73910
Main process received SIGTERM, exiting
Killing subprocess 18488
Main process received SIGTERM, exiting
Killing subprocess 69837
Killing subprocess 8512
Main process received SIGTERM, exiting
Killing subprocess 34736
Killing subprocess 35745
Killing subprocess 55612
Killing subprocess 60755
Main process received SIGTERM, exiting
Killing subprocess 19806
Killing subprocess 20463
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Killing subprocess 27300
Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Killing subprocess 4350
Killing subprocess 73911
Killing subprocess 69838
Killing subprocess 63405
Main process received SIGTERM, exiting
Killing subprocess 34737
Killing subprocess 25567
Killing subprocess 4351
Killing subprocess 73912
Killing subprocess 20464
Main process received SIGTERM, exiting
Killing subprocess 8513
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Killing subprocess 55613
Killing subprocess 25568
Main process received SIGTERM, exiting
Killing subprocess 45236
Killing subprocess 20465
Killing subprocess 8514
Killing subprocess 27301
Killing subprocess 55614
Killing subprocess 24390
Killing subprocess 4352
Killing subprocess 18489
Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Killing subprocess 69839
Killing subprocess 33277
Killing subprocess 34739
Killing subprocess 14131
Main process received SIGTERM, exiting
Killing subprocess 69840
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Killing subprocess 20466
Main process received SIGTERM, exiting
Killing subprocess 73913
Killing subprocess 45237
Main process received SIGTERM, exiting
Killing subprocess 33278
Killing subprocess 14132
Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Killing subprocess 14133
Main process received SIGTERM, exiting
Killing subprocess 33279
Killing subprocess 4353
Main process received SIGTERM, exiting
Killing subprocess 45238
Killing subprocess 45239
Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Killing subprocess 33280
Killing subprocess 14134
Main process received SIGTERM, exiting
Killing subprocess 27303
Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Main process received SIGTERM, exiting
Killing subprocess 51220
Killing subprocess 51221
Killing subprocess 51222
Killing subprocess 51223
Main process received SIGTERM, exiting