Jorge MF jorgemf

## polyaxon_kubernetes_archlinux.md

      
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                jorgemf
                / polyaxon_kubernetes_archlinux.md
            
            
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              May 21, 2019 11:01
            
          
    Install polyaxon in kubernetes over archlinux

Introduction

This file explains how to install polyaxon in kubernetes over archlinux
Requirements

In /etc/sysctl.d/99-sysctl.conf set:


## build-tensorflow-from-source.md

      
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                jorgemf
                / build-tensorflow-from-source.md
            
            
              Created
              January 24, 2018 01:27
                — forked from Brainiarc7/build-tensorflow-from-source.md
            
              
                Build Tensorflow from source, for better performance 
              
          
    Building Tensorflow from source on Linux for maximum performance:
TensorFlow is now distributed under an Apache v2 open source license on GitHub.
Step 1. Install NVIDIA CUDA:
To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit.
Step 2. Install NVIDIA cuDNN:

  
## Dockerfile_TFserving_1_6
# docker build --pull -t tf/tensorflow-serving --label 1.6 -f Dockerfile .
# export TF_SERVING_PORT=9000
# export TF_SERVING_MODEL_PATH=/tf_models/mymodel
# export CONTAINER_NAME=tf_serving_1_6
# CUDA_VISIBLE_DEVICES=0 docker run --runtime=nvidia -it -p $TF_SERVING_PORT:$TF_SERVING_PORT -v $TF_SERVING_MODEL_PATH:/root/tf_model --name $CONTAINER_NAME tf/tensorflow-serving /usr/local/bin/tensorflow_model_server --port=$TF_SERVING_PORT --enable_batching=true --model_base_path=/root/tf_model/
# docker start -ai $CONTAINER_NAME

FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04


## compile_tensorflow_serving.sh
#!/bin/bash

TENSORFLOW_COMMIT=9e76bf324f6bac63137a02bb6e6ec9120703ea9b # August 16, 2017
TENSORFLOW_SERVING_COMMIT=267d682bf43df1c8e87332d3712c411baf162fe9 # August 18, 2017
MODELS_COMMIT=78007443138108abf5170b296b4d703b49454487 # July 25, 2017

if [ -z $TENSORFLOW_SERVING_REPO_PATH ]; then
	TENSORFLOW_SERVING_REPO_PATH="serving"
fi
INITIAL_PATH=$(pwd)

## video2gif.sh
#!/bin/sh

if [ $# -eq 0 ]; then
	echo "video2gif.sh [INPUT] [HEIGHT] [START] [LENGTH]"
	exit
fi

INPUT=$1
HEIGHT=$2
INIT=$3

## svg2android.sh
#!/bin/sh

if [ $# -eq 0 ]; then
	echo "svg2android.sh [INPUT] [PROJECT_DIR] [OUTPUT_NAME] [SIZE_DP]"
	exit
fi

INPUT=$1
PROJECT=$2
NAME="ic_launcher"

## FloatLabelLayout.java
/*
 * Copyright 2014 Chris Banes
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
	# docker build --pull -t tf/tensorflow-serving --label 1.6 -f Dockerfile .
	# export TF_SERVING_PORT=9000
	# export TF_SERVING_MODEL_PATH=/tf_models/mymodel
	# export CONTAINER_NAME=tf_serving_1_6
	# CUDA_VISIBLE_DEVICES=0 docker run --runtime=nvidia -it -p $TF_SERVING_PORT:$TF_SERVING_PORT -v $TF_SERVING_MODEL_PATH:/root/tf_model --name $CONTAINER_NAME tf/tensorflow-serving /usr/local/bin/tensorflow_model_server --port=$TF_SERVING_PORT --enable_batching=true --model_base_path=/root/tf_model/
	# docker start -ai $CONTAINER_NAME

	FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04
	#!/bin/bash

	TENSORFLOW_COMMIT=9e76bf324f6bac63137a02bb6e6ec9120703ea9b # August 16, 2017
	TENSORFLOW_SERVING_COMMIT=267d682bf43df1c8e87332d3712c411baf162fe9 # August 18, 2017
	MODELS_COMMIT=78007443138108abf5170b296b4d703b49454487 # July 25, 2017

	if [ -z $TENSORFLOW_SERVING_REPO_PATH ]; then
	TENSORFLOW_SERVING_REPO_PATH="serving"
	fi
	INITIAL_PATH=$(pwd)
	#!/bin/sh

	if [ $# -eq 0 ]; then
	echo "video2gif.sh [INPUT] [HEIGHT] [START] [LENGTH]"
	exit
	fi

	INPUT=$1
	HEIGHT=$2
	INIT=$3
	#!/bin/sh

	if [ $# -eq 0 ]; then
	echo "svg2android.sh [INPUT] [PROJECT_DIR] [OUTPUT_NAME] [SIZE_DP]"
	exit
	fi

	INPUT=$1
	PROJECT=$2
	NAME="ic_launcher"
	/*
	* Copyright 2014 Chris Banes
	*
	* Licensed under the Apache License, Version 2.0 (the "License");
	* you may not use this file except in compliance with the License.
	* You may obtain a copy of the License at
	*
	* http://www.apache.org/licenses/LICENSE-2.0
	*
	* Unless required by applicable law or agreed to in writing, software