![]() You can register a Python function to handle events from a PDG node or graph How to visualize the relative cook times (or file output sizes) of work items in the network. How to use different schedulers to schedule and execute work. Integrating PDG with render farm schedulers PDG services manages pools of persistent Houdini sessions that can be used to reduce work item cooking time. You can use for-each blocks to process looping, sequential chains of operations on work items.Ĭommand blocks let you start up remote processes (such as Houdini or Maya instances), send the server commands, and shut down the server. The PDG Path Map manages the mapping of paths between file systems. Work items track the results created by their work. How to wrap external functionality in a TOP node. The Wedge node creates a work item for each variation of one or more attributes you specify.ĭescriptions of each PDG example file and where to find them. How to read external configuration and source data in TOPs and use it to drive work. How to cause the TOP network to actually do the work and produce the results specified by the network. It is often necessary to describe in the network what jobs must finish before other jobs can begin. TOP attributes are like point attributes, You can use them to set parameters in Houdini nodes called by the work items.īest practices for input/output file paths in TOP networks.Ī quick guide to the most commonly used TOP nodes. How to use the unique network editor features of TOP networks. Services also avoid the cost of starting up a Houdini session since the Service worker processes are pre-created and reused by your work items.Įxplains the basic concepts behind TOP networks and what you can do with them. Services are long-running pools of processes that can cook multiple work items at the same time. The ROP Fetch TOP and HDA Processor TOP support PDG Services. For example, you can turn on the All Frames in One Batch parameter on the ROP Fetch TOP node, the ROP Geometry TOP node, and other Processor nodes to cook an entire frame range with a single process instead of using one process per frame. This is the process by which multiple frames of work are cooked as a single process. The ROP Fetch TOP and HDA Processor TOP support batch cooking. As a result, more time may be spent starting the process for a work item than is spent to do the actual work, and this can slow down the load times for your work items. ![]() This means that these Processor nodes have to start a new Houdini session for each of their work items. ![]() Work items on the HDA Processor TOP node and the ROP Fetch TOP node run out-of-process. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |