假设我有pthread_cancel
,那么创建SELECT u.user_id, u.user_name,
COALESCE((SELECT SUM(nb_hour_doc) FROM T1 WHERE user_id = u.user_id GROUP BY user_id) +
(SELECT SUM(nb_hour_interv) FROM T2 WHERE user_id = u.user_id GROUP BY user_id), 0) AS hours
FROM users u
SELECT u.user_id, u.user_name,
COALESCE((SELECT SUM(nb_doc) FROM T1 WHERE user_id = u.user_id GROUP BY user_id) +
(SELECT SUM(nb_interv) FROM T2 WHERE user_id = u.user_id GROUP BY user_id), 0) AS hours
FROM users u
SELECT z.project, SUM(z.hour)
FROM (SELECT project, nb_hour_doc as hour
FROM T1
UNION ALL
SELECT project, nb_hour_interv AS hour
FROM T2
) as z
GROUP BY z.project
张量的最佳方法是什么,tensor = tf.constant([1, 2])
?
用例类似于[[tensor, tensor], [tensor, tensor]]
。但是,[[[1, 2], [1, 2]], [[1, 2], [1, 2]]]
不会创建额外的维度。
答案 0 :(得分:2)
在使用tile之前重新定形张量,此示例演示:
import tensorflow as tf
sess = tf.InteractiveSession()
tensor = tf.constant([1, 2])
tensor_reshaped = tf.reshape(tensor, (1,1,2))
tf.tile(tensor_reshaped, [2, 2, 1]).eval()
Out[22]:
array([[[1, 2],
[1, 2]],
[[1, 2],
[1, 2]]], dtype=int32)