本文记录 Triton ensemble 搭建的过程,在 Triton 这个特性叫做 ensemble,但是这个特性叫做 pipeline 更为常见,后面就叫 pipeline 吧。首先要说明的是,本文中的例子只是为了试试看 Triton pipeline 这个特性,我认为搭建出的 pipeline 不一定就是高效的。 先来说说本文将要搭建什么样的 pipeline。本文将使用 resnet50 来...
定义模型的输入输出,然后在ensemble_scheduling中定义不同的步骤,其中step中的key是本身的input/output tensor的名字;value是ensemble model中的Tensor名字。 配置写完后,在ensemble_model的目录只能够新建一个版本目录,里面为空,然后放config文件。 注意事项: 如果组合里有一个是stateful 模型,那么整个pipeline都成为statef...
The simplicity of scheduling the entire pipeline within the configuration file of the ensemble model demonstrates the flexibility of using NVIDIA Triton for end-to-end inference. To add another model or add another data processing step, edit the configuration file of the ensemble model an...
My setup is: jetson orin 32GB JetPack 6.0 Triton 2.40 (NGC Container 23.11) Cuda 12.2, TensorRT 8.6.2 Python Backend API 1.16 input_0: try to use CUDA copy while GPU is not supported This is somewhat similar to the following issues still...
Hello, I was working on deploying ensemble models in Triton version 2.33.0 r23.04. I was able to deploy and infer simple custom models. One problem I faced was with respect to model version. I'm not able to use version 1 for all ensemble...
@@ -316,7 +316,7 @@ ensemble_scheduling { We'll again be launching Triton using docker containers. This time, we'll start an interactive session within the container instead of directly launching the triton server. ```bash docker run --gpus=all -it --shm-size=256m --rm \ docker...