[½»Á÷] In tensorflow, how to use the placeholder's value before feeding? ÒÑÓÐ1È˲ÎÓë

ÔÚstack overflowÀïÃæ·¢ÁËÒ»¸öÎÊÌ⣬ÏÖÔÚ»¹Ã»»Ø´ð±È½Ï¼±£¬ËùÒÔÕâÀïÇóÖúÏÂ~~ New to TensorFlow,Now I need to use the value in placeholder before feeding, something like: tensor = tf.placeholder(tf.float32, [None, 3]) Mat_items = tf.Variable(tf.random_normal([10,10])) Mat_users = tf.Variable(tf.random_normal([10,10])) item_index = tensor[:, 0] user_index = tensor[:, 1] rating = tensor[:, 2] Val = Mat_items[item_index, :]-Mat_users[user_index, :] while tensor is a placeholder with N rows 3 cols, first col and second col is the index to Mat_items and Mat_users respectively and Mat_items Mat_users are the Variables needed to be indexed. Running it will absolutely throw an error because item_index, user_index both are Tensor not numeric before feeding. So I wonder whether Tensorflow could realize this demand? Any suggestion will be appreciate!

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