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WeboptShapes: set the most used input data size of model for inference minShapes: set the max input data size of model for inference maxShapes: set the min input data size of model for inference Inference TensorRT engine Compare output and time efficiency among tensorrt and onnx and pytorch TensorRT Docker Environment WebApr 12, 2024 · These are visible if you select the shape on the slide master, then choose Shape Format>Edit Shape. Drag guides to those inflection points. Close the slide master. With the shape you are trying to edit, drag the nodes to the guides. Then leave them there. Move the handles until the shapes match. WebDescription Building trtexec Using trtexec Example 1: Simple MNIST model from Caffe Example 2: Profiling a custom layer Example 3: Running a network on DLA Example 4: Running an ONNX model with full dimensions and dynamic shapes Example 5: Collecting and printing a timing trace Example 6: Tune throughput with multi-streaming on the road with michael jackson book