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  1. 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 …

  2. 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 …

  3. 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 …

  4. 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 …

  5. 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.

  6. 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, …

  7. 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 …

  8. 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 …

  9. 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.

  10. What is Object Pooling in Java? - Stack Overflow

    Feb 7, 2011 · 5 Pooling & Object Pooling: Pooling basically means utilizing the resources efficiently, by limiting access of the objects to only the period the client requires it. Increasing …