@@ -26,6 +26,6 @@ The script converts the time-dot information in the log into a json format and s
Specific operation: Open the chrome browser, enter `chrome://tracing/` in the address bar, jump to the tracing page, click the `load` button, and open the saved trace file to visualize the time information of each stage of the prediction service.
The data visualization output is shown as follow, it uses [bert as service example](https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/bert) GPU inference service. The server starts 4 GPU prediction, the client starts 4 `processes`, and the timeline of each stage when the batch size is 1. Among them, `bert_pre` represents the data preprocessing stage of the client, and `client_infer` represents the stage where the client completes sending and receiving prediction requests. `process` represents the process number of the client, and the second line of each process shows the timeline of each op of the server.
The data visualization output is shown as follow, it uses [bert as service example](../C++/PaddleNLP/bert) GPU inference service. The server starts 4 GPU prediction, the client starts 4 `processes`, and the timeline of each stage when the batch size is 1. Among them, `bert_pre` represents the data preprocessing stage of the client, and `client_infer` represents the stage where the client completes sending and receiving prediction requests. `process` represents the process number of the client, and the second line of each process shows the timeline of each op of the server.
