I hereby claim:
- I am jkeroes on github.
- I am jkeroes (https://keybase.io/jkeroes) on keybase.
- I have a public key whose fingerprint is A26B E894 F5A1 62DA 637F 0649 68C7 7D82 E512 C25F
To claim this, I am signing this object:
| # via http://www.railsonmaui.com/blog/2014/03/11/rocking-with-tmux-tmuxinator-and-iterm2-for-rails-development/ | |
| # | |
| # First brew install tmux, gem install tmuxinator, and download item2 | |
| # Copy this file here: ~/.tmuxinator/my_project.yml | |
| # Modify the paths (replace ~/my_project with your directory) | |
| # Invoke with | |
| # mux project | |
| # Then hit 'Ctrl-a d' to detach | |
| # Then run 'tmux -CC attach' | |
| # Make sure that option for iterm2 is General --> tmux --> When attaching, open unrecognized windows in Tabs |
| #!/usr/bin/env perl | |
| use 5.010; | |
| use strict; | |
| use warnings; | |
| use Benchmark qw(:hireswallclock cmpthese); | |
| use List::MoreUtils qw(uniq); | |
| my @data_sizes = (15_000, 150_000); | |
| # my @data_sizes = (5_000, 20_000); |
| #!/usr/bin/env perl | |
| use 5.010; | |
| use strict; | |
| use warnings; | |
| use Benchmark qw(:hireswallclock cmpthese); | |
| use List::MoreUtils qw(uniq); | |
| my @data_sizes = (15_000, 150_000); | |
| # my @data_sizes = (5_000, 20_000); |
| #!/usr/bin/env perl | |
| use 5.010; | |
| use strict; | |
| use warnings; | |
| use Benchmark qw(:hireswallclock cmpthese); | |
| use List::MoreUtils qw(all any); | |
| my @data_sizes = (100_000); | |
| my $key_count = 10; |
| #!/usr/bin/env perl | |
| use 5.010; | |
| use strict; | |
| use warnings; | |
| use Benchmark qw(:hireswallclock cmpthese); | |
| use List::MoreUtils qw(all any); | |
| my @data_sizes = (10_000); | |
| my $key_count = 10; |
| root@home:~# docker run -it b.gcr.io/tensorflow/tensorflow | |
| root@cc66321b9eeb:~# | |
| root@cc66321b9eeb:~# export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64" | |
| root@cc66321b9eeb:~# export CUDA_HOME=/usr/local/cuda | |
| root@cc66321b9eeb:~# | |
| root@cc66321b9eeb:~# python /usr/local/lib/python2.7/dist-packages/tensorflow/models/image/mnist/convolutional.py | |
| Succesfully downloaded train-images-idx3-ubyte.gz 9912422 bytes. | |
| Succesfully downloaded train-labels-idx1-ubyte.gz 28881 bytes. | |
| Succesfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes. | |
| Succesfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes. |
I hereby claim:
To claim this, I am signing this object:
| # Testing | |
| ## SYNOPSIS | |
| use Ndn::Test::Bundle -target => 'Ndn::Foo'; # Sets $CLASS to 'Ndn::Foo' | |
| database dreamhost { | |
| table foo { | |
| row { col1 => 1, col2 => 2 }; | |
| row { col1 => 3, col2 => 4 }; |