TensorFlow-Examples - helloworld.py

1. helloworld.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

'''
HelloWorld example using TensorFlow library.
https://github.com/aymericdamien/TensorFlow-Examples/
'''

import tensorflow as tf

# Create a Constant op.
# The op is added as a node to the default graph.
# The value returned by the constructor represents the output of the Constant op.
# operation, op

hello = tf.constant('Hello, TensorFlow!')

# Start tf session
sess = tf.Session()

# Run the op
print(sess.run(hello))

/usr/bin/python2.7 /home/strong/git_workspace/MonoGRNet/yongqiang.py
2019-07-19 13:34:18.364940: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2019-07-19 13:34:18.453787: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-07-19 13:34:18.454023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties: 
name: GeForce GTX 1080 major: 6 minor: 1 memoryClockRate(GHz): 1.7335
pciBusID: 0000:01:00.0
totalMemory: 7.92GiB freeMemory: 7.51GiB
2019-07-19 13:34:18.454033: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0, compute capability: 6.1)
Hello, TensorFlow!

Process finished with exit code 0