geekcui

## macOS High Sierra 10.13.3 install TensorFlow 1.11.0 with GPU support.md

      
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                geekcui
                / macOS High Sierra 10.13.3 install TensorFlow 1.11.0 with GPU support.md
            
            
              Last active
              February 14, 2019 22:17
            
              
                macOS High Sierra 10.13.3 install TensorFlow 1.11.0 with GPU support
              
          
    macOS: 10.13.3(17D102)
WebDriver: 387.10.10.10.25.156
CUDA Toolkit: 9.1.128
cuDNN: 7
NVDAEGPUSupport: 6

  
## gist:0c584090b979be9cf259d5f4607a0a4b
#!/bin/bash

set -e
set -u
set -o pipefail

export PATH=/usr/local/sbin:/usr/local/bin:/sbin:/bin:/usr/sbin:/usr/bin

yum install -y \
    cloud-init cloud-utils-growpart \

## jinja2_file_less.py
#!/usr/bin/env/python
#
# More of a reference of using jinaj2 without actual template files.
# This is great for a simple output transformation to standard out.
#
# Of course you will need to "sudo pip install jinja2" first!
#
# I like to refer to the following to remember how to use jinja2 :)
# http://jinja.pocoo.org/docs/templates/
#

## macOS High Sierra 10.13.3 install TensorFlow 1.5.0 with GPU support.md

      
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                geekcui
                / macOS High Sierra 10.13.3 install TensorFlow 1.5.0 with GPU support.md
            
            
              Last active
              February 8, 2024 23:24
            
              
                macOS High Sierra 10.13.3 install TensorFlow 1.5.0 with GPU support
              
          
    New compile referrence for TensorFlow 1.11.0:

https://gist.github.com/geekcui/ce0bda3dc40d048666fe904c0a2f1017
https://github.com/geekcui/tensorflow-macos-egpu
macOS: 10.13.3
WebDriver: 387.10.10.10.25.156
	#!/bin/bash

	set -e
	set -u
	set -o pipefail

	export PATH=/usr/local/sbin:/usr/local/bin:/sbin:/bin:/usr/sbin:/usr/bin

	yum install -y \
	cloud-init cloud-utils-growpart \
	#!/usr/bin/env/python
	#
	# More of a reference of using jinaj2 without actual template files.
	# This is great for a simple output transformation to standard out.
	#
	# Of course you will need to "sudo pip install jinja2" first!
	#
	# I like to refer to the following to remember how to use jinja2 :)
	# http://jinja.pocoo.org/docs/templates/
	#