What is database pooling? - Stack Overflow
Oct 28, 2010 · 359 Database connection pooling is a method used to keep database connections open so they can be reused by others. Typically, opening a database connection is an …
spring boot - Problems with Hibernate startup logging after …
2024-12-03T16:52:53.338+08:00 INFO 34784 --- [blog] [ restartedMain] org.hibernate.orm.connections.pooling : HHH10001005: Database info: Database JDBC URL …
postgresql - Confused about NpgSql connection pooling vs ...
Jul 16, 2024 · AddDbContextPool doesn't affect connection pooling. DbContext is a Unit-of-Work, not a database connection. Pooling them makes sense if you don't want to pay the (usually …
What's the difference between Conv layer and Pooling layer in CNN?
The pooling layer and the convolution layer are operations that are applied to each of the input "pixels". Let's take a pixel in the center of the image (to avoid to discuss what happens with …
How does adaptive pooling in pytorch work? - Stack Overflow
Adaptive pooling is a great function, but how does it work? It seems to be inserting pads or shrinking/expanding kernel sizes in what seems like a pattered but fairly arbitrary way. The …
database - Mule 4 DB Pooling Configuration - Stack Overflow
Apr 30, 2021 · Learn how to configure database connection pooling in Mule 4, including setting max and min pool sizes for dynamic data handling.
C# Object Pooling Pattern implementation - Stack Overflow
Pooling in threaded environments is a recurring problem, solved by design patterns such as Resource Pool and Resource Cache. Check out Pattern-Oriented Software Architecture, …
What's the difference between torch.mean and torch.nn.avg_pool?
Dec 8, 2021 · On the other hand, average 1-dimensional pooling is more powerful in this regard, as it gives you a lot more flexibility in choosing kernel size, padding and stride like you would …
Postgres Npgsql Connection Pooling - Stack Overflow
Npgsql connection pooling is implemented inside your application process - it has nothing to do with PostgreSQL, which is completely unaware of it. The mechanism is very simple. When you …
how to perform max/mean pooling on a 2d array using numpy
Given a 2D (M x N) matrix, and a 2D Kernel (K x L), how do i return a matrix that is the result of max or mean pooling using the given kernel over the image? I'd like to use numpy if possible.