问题描述
限时送ChatGPT账号..当我运行下面的代码时,我想我得到了错误的结果.
超过 GPU
将 tensorflow 导入为 tfsess = tf.Session()a = tf.placeholder(tf.float32)b = tf.placeholder(tf.float32)adder_node = a + b打印(sess.run(adder_node,{a:3,b:4.5}))打印(sess.run(adder_node, {a: [1, 3], b: [2, 4]}))
<块引用>
输出:
3.0
[ 1. 3.]
我认为真正的结果应该是;
7.5
[ 3. 7.]
超过 CPU
将 tensorflow 导入为 tfsess = tf.Session()使用 tf.device('/cpu:0'):a = tf.placeholder(tf.float32)b = tf.placeholder(tf.float32)adder_node = a + b打印(sess.run(adder_node,{a:3,b:4.5}))打印(sess.run(adder_node, {a: [1, 3], b: [2, 4]}))
<块引用>
输出:
7.5
[ 1. 3.]
Tensorflow 版本:
'1.3.0'
Python 版本:
Python 2.7.12
当我在 CPU 和 GPU 上运行时,我得到了不同的结果.提前致谢,任何帮助将不胜感激...
解决方案我编译了你的代码,得到了真实的结果.我也在用张量流版本:'1.3.0'蟒蛇版本:Python 2.7.12
代码和结果截图
When I run at below code, I think I am getting the wrong results.
OVER GPU
import tensorflow as tf
sess = tf.Session()
a = tf.placeholder(tf.float32)
b = tf.placeholder(tf.float32)
adder_node = a + b
print(sess.run(adder_node, {a: 3, b: 4.5}))
print(sess.run(adder_node, {a: [1, 3], b: [2, 4]}))
Output:
3.0
[ 1. 3.]
I think the true result should be;
7.5
[ 3. 7.]
OVER CPU
import tensorflow as tf
sess = tf.Session()
with tf.device('/cpu:0'):
a = tf.placeholder(tf.float32)
b = tf.placeholder(tf.float32)
adder_node = a + b
print(sess.run(adder_node, {a: 3, b: 4.5}))
print(sess.run(adder_node, {a: [1, 3], b: [2, 4]}))
Output:
7.5
[ 1. 3.]
Tensorflow Version:
'1.3.0'
Python Version:
Python 2.7.12
I am getting different results when I run over CPU and GPU. Thanks in advance, any help would be appreciated...
解决方案I compiled your code and I got the true result. I am also using Tensorflow Version: '1.3.0' Python Version: Python 2.7.12
Screenshot of the code and result
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