回答此问题可获得 20 贡献值,回答如果被采纳可获得 50 分。
<p>下面的代码将挂起(只有a<kbd>CTRL</kbd><kbd>z</kbd>才能让我退出)。在</p>
<pre class="lang-python prettyprint-override"><code>import tensorflow as tf
import cifar10 # from https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10 (both cifar10.py & cifar10_input.py)
def main():
print 'TensorFlow version: ',tf.__version__
with tf.Session() as sess:
with tf.device('/cpu:0'):
images, labels = cifar10.distorted_inputs()
input = tf.constant([[[1, 2, 3], [5, 5, 5]], [[4, 5, 6], [7, 7, 7]], [[7, 8, 9], [9, 9, 9]]])
one=input[0]
print "X1 ",type(input), one
oneval = sess.run(one)
print "X2 ",type(one), one, type(oneval), oneval
two=images[0]
print "Y1 ",type(images), two
twoval = sess.run(two)
print "Y2 ",type(two), two, type(twoval), twoval
main()
</code></pre>
<p>我得到以下输出(使用python2.7.5):</p>
^{pr2}$
<p>有谁有什么建议(或解决办法)?在</p>
<p>如果有人对背景感兴趣,我的最终目标是将<code>distorted_inputs()</code>返回的张量转换为一组JSON对象。因此,最简单的计划是遍历图像的每个元素并提取值。在</p>