For specific ONNX node support information, refer to the Operators’ support document. Common ONNX Parser Error Messages Error Message Description <X> must be an initializer! These error messages signify that an
‣ The TensorRT ONNX parser has been tested with ONNX 1.9.0 and supports opset 14. ‣ If the target system has both TensorRT and one or more training frameworks installed on it, the simplest strategy is to use the same version of cuDNN for the training frameworks as the one that ...
TensorRT’s primary means of importing a trained model from a framework is through the ONNX interchange format. TensorRT ships with an ONNX parser library to assist in importing models. Where possible, the parser is backward compatible up to opset 7; the ONNX Model Opset Version Conve...
1.5. ONNX TensorRT's primary means of importing a trained model from a framework is through the ONNX interchange format. TensorRT ships with an ONNX parser library to assist in importing models. Where possible, the parser is backward compatible up to opset 7; the ONNX Model Opset ...
Refitting a Weight-Stripped Engine Directly from ONNXWhen working with weight-stripped engines created from ONNX models, the refit process can be done automatically with the IParserRefitter class from the ONNX parser library. The following steps show how to create the class and run the refit ...
Replace 6.x.x with your version of TensorRT and cudax.x with your CUDA version for your install. version="6.x.x-1+cudax.x" sudo apt-get install libnvinfer6=${version} libnvonnxparsers6=${version} libnvparsers6=${version} libnvinfer-plugin6=${version} libnvinfer-dev=${version}...
1.5. ONNX TensorRT’s primary means of importing a trained model from a framework is through the ONNX interchange format. TensorRT ships with an ONNX parser library to assist in importing models. Where possible, the parser is backward compatible up to opset 7; the ONNX Model Opset...
1.5. ONNX TensorRT’s primary means of importing a trained model from a framework is through the ONNX interchange format. TensorRT ships with an ONNX parser library to assist in importing models. Where possible, the parser is backward compatible up to opset 7; the ONNX Model Opset ...
TensorRT 8.5.3 was the last release supporting NVIDIA Kepler (SM 3.x) and NVIDIA Maxwell (SM 5.x) devices. These devices are no longer supported in TensorRT 8.6. NVIDIA Pascal (SM 6.x) devices were deprecated in TensorRT 8.6. TensorRT 10.4 was the last release supporting NVIDIA Volta (...
‣ The TensorRT ONNX parser has been tested with ONNX 1.8.0 and supports opset 11. ‣ If the target system has both TensorRT and one or more training frameworks installed on it, the simplest strategy is to use the same version of cuDNN for the training frameworks as the one that ...