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from matplotlib.pylab import * | |
style.use(['dark_background', 'bmh']) | |
rc('axes', facecolor='k') | |
rc('figure', facecolor='k') | |
rc('figure', figsize=(16, 4)) |
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atcold@GPU0 ~ $ pstree -psa $(pgrep -o chrome) | |
systemd,1 splash | |
└─lightdm,1240 | |
└─lightdm,1420 --session-child 12 19 | |
└─upstart,1917 --user | |
└─chrome,2805 | |
├─cat,2812 | |
├─cat,2813 | |
├─chrome,2816 | |
│ ├─chrome,2820 |
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Terminal 0: xterm-256color [references=1, flags=0x1]: | |
1: acsc: (string) ``aaffggiijjkkllmmnnooppqqrrssttuuvvwwxxyyzz{{||}}~~ | |
0: AX: (flag) true | |
2: bel: (string) \007 | |
3: blink: (string) \033[5m | |
4: bold: (string) \033[1m | |
5: civis: (string) \033[?25l | |
6: clear: (string) \033[H\033[2J | |
7: cnorm: (string) \033[?12l\033[?25h | |
8: colors: (number) 256 |
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atcold@AlfMAC2 ~/Work/Tests/binary $ th | |
______ __ | Torch7 | |
/_ __/__ ________/ / | Scientific computing for Lua. | |
/ / / _ \/ __/ __/ _ \ | Type ? for help | |
/_/ \___/_/ \__/_//_/ | https://github.com/torch | |
| http://torch.ch | |
th> torch.setdefaulttensortype('torch.FloatTensor') | |
[0.0012s] |
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[ 0.000000] Initializing cgroup subsys cpuset | |
[ 0.000000] Initializing cgroup subsys cpu | |
[ 0.000000] Initializing cgroup subsys cpuacct | |
[ 0.000000] Linux version 3.13.0-40-generic (buildd@comet) (gcc version 4.8.2 (Ubuntu 4.8.2-19ubuntu1) ) #69-Ubuntu SMP Thu Nov 13 17:53:56 UTC 2014 (Ubuntu 3.13.0-40.69-generic 3.13.11.10) | |
[ 0.000000] Command line: BOOT_IMAGE=/vmlinuz-3.13.0-40-generic root=/dev/mapper/ubuntu--vg-root ro quiet splash vt.handoff=7 | |
[ 0.000000] KERNEL supported cpus: | |
[ 0.000000] Intel GenuineIntel | |
[ 0.000000] AMD AuthenticAMD | |
[ 0.000000] Centaur CentaurHauls | |
[ 0.000000] e820: BIOS-provided physical RAM map: |
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ubuntu@tegra-ubuntu:~$ sudo luarocks install torch | |
Installing https://raw.github.com/torch/rocks/master/torch-scm-1.rockspec... | |
Using https://raw.github.com/torch/rocks/master/torch-scm-1.rockspec... switching to 'build' mode | |
Cloning into 'torch7'... | |
remote: Counting objects: 130, done. | |
remote: Compressing objects: 100% (128/128), done. | |
remote: Total 130 (delta 2), reused 91 (delta 1) | |
Receiving objects: 100% (130/130), 156.75 KiB | 0 bytes/s, done. | |
Resolving deltas: 100% (2/2), done. | |
Checking connectivity... done. |
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==> Train 87 | |
[================================ 515/515 ===================================>] ETA: 0ms | Step: 693ms | |
======> Time to learn 1 iteration = 357.17 sec | |
======> Time to train 1 sample = 5.41 ms | |
======> Train CE error: 3.32 | |
======> Train accuracy: 25.648% | |
Conv layer 1 | |
max L2 weights norm: 4.315349 | |
#small weights: 1, big weights: 0 | |
#small grads : 3888, big grads : 0 |
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-------------------------------------------------------------------------------- | |
-- This script tests the comparison operators of Torch | |
-------------------------------------------------------------------------------- | |
-- It looks like there are some troubles with CudaTensor... | |
-- Let's find it out :) | |
-------------------------------------------------------------------------------- | |
require 'cutorch' | |
function printStat(tensor) |