[英]How exactly do I get the pretty print in Tensorflow while printing variable type?
In the ipython I have been trying the following statement. 在ipython中,我一直在尝试以下语句。
W1 = tf.Variable(tf.random_normal([3, 3, 1, 2], stddev=0.01))
This Means, I m creating 2 filters of each size 3*3 with 1 channel. 这意味着,我要创建2个具有1个通道的每个大小为3 * 3的滤镜。 When this W1 is printed, I am getting something like
当打印此W1时,我得到类似
print W1
<tf.Variable 'Variable_4:0' shape=(3, 3, 1, 2) dtype=float32_ref>
Is there any possibility of getting sort of pretty print that displays entire matrix? 是否有可能获得可以显示整个矩阵的漂亮打印效果?
This line is a definition of the tensorflow variable, ie a node in computational graph: 该行是tensorflow变量的定义,即计算图中的一个节点:
W1 = tf.Variable(tf.random_normal([3, 3, 1, 2], stddev=0.01))
You have provided the initial value, but you can't access it until the session is started and the initializer is run. 您已经提供了初始值,但是只有在会话启动并运行初始化程序后才能访问它。 Here's how you do all this:
这是所有步骤:
with tf.Session() as sess:
sess.run(W1.initializer)
print(W1.eval()) # another way: sess.run(W1)
... which outputs something like: ...输出类似:
[[[[-0.00224525 0.00417244]]
[[ 0.00627046 -0.01300699]]
[[ 0.01755865 -0.01225026]]]
[[[-0.01875982 0.00103016]]
[[-0.01131416 -0.00079146]]
[[-0.00957317 0.00036654]]]
[[[ 0.00464012 0.0016774 ]]
[[-0.00546181 -0.00818472]]
[[ 0.01199017 0.00849589]]]]
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