保存ft.tensor配列 - パイソン/ TensorFlow

Question

私は外部ファイルに変数層のすべての値を保存するためにこの関数を作成：

# Counter for total number of iterations performed so far 
total_iterations = 0 

def test_save(num_iterations): 
    # Ensure we update the global variable rather than a local copy 
    global total_iterations 

    for i in range(total_iterations, total_iterations + num_iterations): 

     x_batch, y_true_batch = next_batch_size(train_batch_size) 

     feed_dict_train = {x: x_batch, y_true: y_true_batch} 

     # Message for printing 
     msg = " Iteration: {0:>6}" 

     # Print it 
     print(msg.format(i + 1)) 

     test = session.run(layer, feed_dict=feed_dict_train) 

     print 'test',test 

     store_all = [] 

     store_all.append(test) 

    np.savetxt('test.txt', store_all, fmt='%5s') 

# Call function 
test_save(300) 

しかし、それは私のAPPENDようです私がtest.txtファイルを開いたときに1つのレイヤーしかなく、300の結果がないからです。

マイプレースホルダは、次のとおりです。

# Placeholder variable for the input images 
x = tf.placeholder(tf.float32, shape=[None, img_size_flat], name='x') 

# Reshape 'x' 
x_image = tf.reshape(x, [-1, img_size, img_size, num_channels]) 

# Placeholder variable for the true labels associated with the images 
y_true = tf.placeholder(tf.float32, shape=[None, num_classes], name='y_true') 

そして、私の層は、以下のとおりです。

<tf.Tensor 'Conv2D_1:0' shape=(?, 16, 16, 1) dtype=float32> 

Answer 1

あなたは、ループの各反復で空のリストをinitializied。外に出してください：

# Counter for total number of iterations performed so far 
total_iterations = 0 

def test_save(num_iterations): 
    # Ensure we update the global variable rather than a local copy 
    global total_iterations 

    store_all = [] 

    for i in range(total_iterations, total_iterations + num_iterations): 

     x_batch, y_true_batch = next_batch_size(train_batch_size) 

     feed_dict_train = {x: x_batch, y_true: y_true_batch} 

     # Message for printing 
     msg = " Iteration: {0:>6}" 

     # Print it 
     print(msg.format(i + 1)) 

     test = session.run(layer, feed_dict=feed_dict_train) 

     print 'test',test 

     store_all.append(test) 

    np.savetxt('test.txt', store_all, fmt='%5s') 

# Call function 
test_save(300)