如何打印在tensorflow張量的值，當我在調試

Question

功能：

def evaluation(logits, labels): 

    correct = tf.nn.in_top_k(logits, labels, 1) 

    return tf.reduce_sum(tf.cast(correct, tf.int32)) 

結束

問：

如何在張打印值「標籤」或「 logits」，當我運行 的代碼如下：

python -m pdb fully_connected_feed.py 
fully_connected_feed.py(16)<module>() 
-> """Trains and Evaluates the MNIST network using a feed dictionary.""" 
(Pdb) b network.py:194 
Breakpoint 1 at network.py:194 
(Pdb) c 
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA  library libcublas.so locally 
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcudnn.so locally 
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcufft.so locally 
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcuda.so.1 locally 
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcurand.so locally 
network.py(194)evaluation() 
-> correct = tf.nn.in_top_k(logits, labels, 1) 
(Pdb) logits 
<tf.Tensor 'softmax_linear/add:0' shape=(100, 4382) dtype=float32> 

Answer 1

當你想打印的張量圖表，您需要使用Feed運行會話。

準備好feed_dict後試試這個。

print(sess.run(logits, feed_dict=feed_dict))