Difference between revisions of "Xavier/Deep Learning/TensorRT/Parsing Caffe"

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==Parsing Caffe model for TensorRT==
 
==Parsing Caffe model for TensorRT==
  
The process for caffe models are fairly similar to Tensorflow models. The key difference is that you don't need to generate a uff model file. Caffe model file (.caffemodel) can be imported directly from tensorrt.
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The process for Caffe models is fairly similar to Tensorflow models. The key difference is that you don't need to generate a uff model file. Caffe model file (.caffemodel) can be imported directly from tensorrt.
  
Loading a caffe model is an actual example provided by NVIDIA with TensorRT naned sample_mnist. For more details on this example please refer to the [[Xavier/Deep_Learning/TensorRT/Building_Examples#C.2B.2B_API|C++ API]] section.
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Loading a Caffe model is an actual example provided by NVIDIA with TensorRT named sample_mnist. For more details on this example please refer to the [[Xavier/Deep_Learning/TensorRT/Building_Examples#C.2B.2B_API|C++ API]] section.
  
 
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{{Xavier/Foot|Deep Learning‎/TensorRT/Parsing Tensorflow|Deep Learning/TensorRT/Building Examples}}
 
{{Xavier/Foot|Deep Learning‎/TensorRT/Parsing Tensorflow|Deep Learning/TensorRT/Building Examples}}
 
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Revision as of 14:16, 1 December 2020



Previous: Deep Learning‎/TensorRT/Parsing Tensorflow Index Next: Deep Learning/TensorRT/Building Examples



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Parsing Caffe model for TensorRT

The process for Caffe models is fairly similar to Tensorflow models. The key difference is that you don't need to generate a uff model file. Caffe model file (.caffemodel) can be imported directly from tensorrt.

Loading a Caffe model is an actual example provided by NVIDIA with TensorRT named sample_mnist. For more details on this example please refer to the C++ API section.



Previous: Deep Learning‎/TensorRT/Parsing Tensorflow Index Next: Deep Learning/TensorRT/Building Examples