Fanli (Christian) Ramsey christianramsey

## Protobuf for Bazel and TensorFlow on Mac
./autogen.sh && ./configure && make

brew install libtool
brew link libtool

./autogen.sh && ./configure && make

make check
sudo make install
which protoc

## TensorFlow GPU CUDA 10 Ubuntu 18.04
# Add NVIDIA package repository
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo apt install ./cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
wget http://developer.download.nvidia.com/compute/machine-learning/repos/https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt update

# Install CUDA and tools. Include optional NCCL 2.x
sudo apt install cuda10.0 cuda-cublas-10-0 cuda-cufft-10-0 cuda-curand-10-0 \

## bucketise columns in tensorflow
import numpy as np
import tensorflow as tf
import tensorflow.contrib.layers as tflayers


x = tflayers.real_valued_column(np.linspace(0, 100, 101))
buckets = np.linspace(0, 100, 5).tolist()

x2 = tflayers.bucketized_column(x, buckets)
print(x2)

## data.csv

          
            id
             1
             2
             3
             4
            5
            6
            7
            8
            9
            10
            11
            12
            13
            14
            15
            16
            17
            18
            19
            20
            21
            22
            23
            24

            
              AL
              1
               2
               3
               4
              5
              6
              7
              8
              9
              10
              11
              12
              13
              14
              15
              16
              17
              18
              19
              20
              21
              22
              23
              24

            
              CA
              1
               2
               3
               4
              5
              6
              7
              8
              9
              10
              11
              12
              13
              14
              15
              16
              17
              18
              19
              20
              21
              22
              23
              24

## gist:5248396
http://stjhimy.com/posts/10-five-quick-steps-to-set-up-rvm-with-rails-2-and-rails3

## gist:5247267
Try brew tap --repair homebrew/dupes and then try installing.

## gist:5245860
#!/bin/sh
# Just copy and paste the lines below (all at once, it won't work line by line!)
# MAKE SURE YOU ARE HAPPY WITH WHAT IT DOES FIRST! THERE IS NO WARRANTY!

function abort {
  echo "$1"
  exit 1
}

set -e

## gist:5126995
def create
    debugger
    @movie = Movie.create!(params[:movie])
    flash[:notice] = "#{@movie.title} was successfully created."
    redirect_to movies_path
  end

// line 2 debugger to debug on save

## rubydebug
1) From the root of the project run:
gem install ruby-debug19 -- --with-ruby-include="$rvm_path/src/$(rvm tools identifier)/"

2) Include in Gemfile

group :test, :development do
gem ‘ruby-debug19′, :require => ‘ruby-debug’
end

3) Create a .rdebugrc in your home directory

## gist:5092677
<div class="info_column" id="info_column1">
    <ul>
        <li>Design</li>
        <li>Dev</li>
        <li>Crazy</li>
    </ul>
</div>
<div class="info_column" id="info_column2">
    <ul>
        <li>Designer</li>
	./autogen.sh && ./configure && make

	brew install libtool
	brew link libtool

	./autogen.sh && ./configure && make

	make check
	sudo make install
	which protoc
	# Add NVIDIA package repository
	sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
	wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
	sudo apt install ./cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
	wget http://developer.download.nvidia.com/compute/machine-learning/repos/https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
	sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
	sudo apt update

	# Install CUDA and tools. Include optional NCCL 2.x
	sudo apt install cuda10.0 cuda-cublas-10-0 cuda-cufft-10-0 cuda-curand-10-0 \
	import numpy as np
	import tensorflow as tf
	import tensorflow.contrib.layers as tflayers


	x = tflayers.real_valued_column(np.linspace(0, 100, 101))
	buckets = np.linspace(0, 100, 5).tolist()

	x2 = tflayers.bucketized_column(x, buckets)
	print(x2)
id	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24
AL	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24
CA	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24
	#!/bin/sh
	# Just copy and paste the lines below (all at once, it won't work line by line!)
	# MAKE SURE YOU ARE HAPPY WITH WHAT IT DOES FIRST! THERE IS NO WARRANTY!

	function abort {
	echo "$1"
	exit 1
	}

	set -e
	def create
	debugger
	@movie = Movie.create!(params[:movie])
	flash[:notice] = "#{@movie.title} was successfully created."
	redirect_to movies_path
	end

	// line 2 debugger to debug on save
	1) From the root of the project run:
	gem install ruby-debug19 -- --with-ruby-include="$rvm_path/src/$(rvm tools identifier)/"

	2) Include in Gemfile

	group :test, :development do
	gem ‘ruby-debug19′, :require => ‘ruby-debug’
	end

	3) Create a .rdebugrc in your home directory
	<div class="info_column" id="info_column1">
	<ul>
	<li>Design</li>
	<li>Dev</li>
	<li>Crazy</li>
	</ul>
	</div>
	<div class="info_column" id="info_column2">
	<ul>
	<li>Designer</li>