Comments (1)
It may be that Tensorrt consumes more time when it is started for the first time. The usual method is to use multiple times inference to get the average value. For example, ten times of inferences in my environment as follows,
from clrnet-onnxruntime-and-tensorrt-demo.
Related Issues (13)
- RuntimeError: Exporting the operator grid_sampler to ONNX opset version 11 is not supported. Please feel free to request support or submit a pull request on PyTorch GitHub. HOT 4
- ONNX inference time is about 5 times slower than pytorch model inference
- C++ reference
- processing onnx Error
- Can you provide Culane_r18.onnx file,thanks
- c++ HOT 1
- Unexpected key(s) in state_dict: "heads.sample_x_indexs", "heads.prior_feat_ys", "heads.prior_ys", "heads.criterion.weight". HOT 10
- how to install trtexec HOT 1
- [optimizer.cpp::computeCosts::2011] Error Code 10: Internal Error (Could not find any implementation for node {ForeignNode[538...Reshape_295]}.)
- Can you provide tusimple_r18.onnx file,thanks HOT 3
- Why different Softmax?
- An error occurred during demo_trt HOT 2
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from clrnet-onnxruntime-and-tensorrt-demo.