akhan4u

root@gpu-01:~# python
Python 3.6.8 |Anaconda custom (64-bit)| (default, Dec 30 2018, 01:22:34) 
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from tensorflow.python.client import device_lib
>>> print(device_lib.list_local_devices())
2019-04-03 19:09:01.537417: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2019-04-03 19:09:02.180944: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-04-03 19:09:02.181307: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1344] Found device 0 with properties: 
name: GeForce RTX 2080 Ti major: 7 minor: 5 memoryClockRate(GHz): 1.545

akhan4u

---
  - hosts: "{{ host_name }}"
    roles:
      # Install python3 setup onto the remote system
      - role: andrewrothstein.python3
        python3_pyenv: "3.6.5"
      # Install Anaconda3 onto the remote system and install the listed packages as default
      - role: andrewrothstein.anaconda3
        anaconda_install_packages:
          -  absl-py==0.1.13

akhan4u

#  Customize BASH PS1 prompt to show current GIT repository and branch.
#  by Mike Stewart - http://MediaDoneRight.com

#  SETUP CONSTANTS
#  Bunch-o-predefined colors.  Makes reading code easier than escape sequences.
#  I don't remember where I found this.  o_O

# Reset
Color_Off="\[\033[0m\]"       # Text Reset