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envy@ub1404:/os_pri/github/BinaryNet$ th Main_BinaryNet_MNIST.lua -network BinaryNet_MNIST_Model
sh: 1: mk1ir: not found
0
10033182
10033182
[program started on Wed May 25 14:58:10 2016]
[command line arguments]
stcWeights false
LR 0.015625
modelsFolder ./Models/
batchSize 100
optimization adam
preProcDir /home/envy/os_pri/github/BinaryNet/PreProcData/MNIST
network ./Models/BinaryNet_MNIST_Model
stcNeurons true
constBatchSize false
LRDecay 0
whiten false
augment false
load
nGPU 1
dp_prepro false
format rgb
save /home/envy/os_pri/github/BinaryNet/Results/WedMay2514:58:082016
dataset MNIST
normalization simple
devid 1
visualize 1
type cuda
threads 8
SBN true
momentum 0
weightDecay 0
runningVal true
epoch -1
[----------------------]
THCudaCheck FAIL file=/tmp/luarocks_cutorch-scm-1-7471/cutorch/lib/THC/generic/THCStorage.cu line=41 error=2 : out of memory
/home/envy/torch/install/bin/luajit: /home/envy/torch/install/share/lua/5.1/nn/utils.lua:11: cuda runtime error (2) : out of memory at /tmp/luarocks_cutorch-scm-1-7471/cutorch/lib/THC/generic/THCStorage.cu:41
stack traceback:
[C]: in function 'resize'
/home/envy/torch/install/share/lua/5.1/nn/utils.lua:11: in function 'torch_Storage_type'
/home/envy/torch/install/share/lua/5.1/nn/utils.lua:57: in function 'recursiveType'
/home/envy/torch/install/share/lua/5.1/nn/Module.lua:126: in function 'type'
/home/envy/torch/install/share/lua/5.1/nn/utils.lua:45: in function 'recursiveType'
/home/envy/torch/install/share/lua/5.1/nn/utils.lua:41: in function 'recursiveType'
/home/envy/torch/install/share/lua/5.1/nn/Module.lua:126: in function 'cuda'
Main_BinaryNet_MNIST.lua:118: in main chunk
[C]: in function 'dofile'
...envy/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:145: in main chunk
[C]: at 0x00406670
envy@ub1404:/os_pri/github/BinaryNet$
The text was updated successfully, but these errors were encountered:
envy@ub1404:
/os_pri/github/BinaryNet$ th Main_BinaryNet_MNIST.lua -network BinaryNet_MNIST_Model/os_pri/github/BinaryNet$sh: 1: mk1ir: not found
0
10033182
10033182
[program started on Wed May 25 14:58:10 2016]
[command line arguments]
stcWeights false
LR 0.015625
modelsFolder ./Models/
batchSize 100
optimization adam
preProcDir /home/envy/os_pri/github/BinaryNet/PreProcData/MNIST
network ./Models/BinaryNet_MNIST_Model
stcNeurons true
constBatchSize false
LRDecay 0
whiten false
augment false
load
nGPU 1
dp_prepro false
format rgb
save /home/envy/os_pri/github/BinaryNet/Results/WedMay2514:58:082016
dataset MNIST
normalization simple
devid 1
visualize 1
type cuda
threads 8
SBN true
momentum 0
weightDecay 0
runningVal true
epoch -1
[----------------------]
THCudaCheck FAIL file=/tmp/luarocks_cutorch-scm-1-7471/cutorch/lib/THC/generic/THCStorage.cu line=41 error=2 : out of memory
/home/envy/torch/install/bin/luajit: /home/envy/torch/install/share/lua/5.1/nn/utils.lua:11: cuda runtime error (2) : out of memory at /tmp/luarocks_cutorch-scm-1-7471/cutorch/lib/THC/generic/THCStorage.cu:41
stack traceback:
[C]: in function 'resize'
/home/envy/torch/install/share/lua/5.1/nn/utils.lua:11: in function 'torch_Storage_type'
/home/envy/torch/install/share/lua/5.1/nn/utils.lua:57: in function 'recursiveType'
/home/envy/torch/install/share/lua/5.1/nn/Module.lua:126: in function 'type'
/home/envy/torch/install/share/lua/5.1/nn/utils.lua:45: in function 'recursiveType'
/home/envy/torch/install/share/lua/5.1/nn/utils.lua:41: in function 'recursiveType'
/home/envy/torch/install/share/lua/5.1/nn/Module.lua:126: in function 'cuda'
Main_BinaryNet_MNIST.lua:118: in main chunk
[C]: in function 'dofile'
...envy/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:145: in main chunk
[C]: at 0x00406670
envy@ub1404:
The text was updated successfully, but these errors were encountered: