Following are the details of the system I am working on:
Ubuntu 18.04
GPU: GeForce GTX 1080
TLT version: 3.0
I am trying to run the Deployable model of GestureNet available on NGC, which requires the tlt_cv_pipeline. I am following the steps provided in the image below.
No, I did not modify that.
I realised that I only have to run that command if I do any modification.
But still not able to figure out how to run the model.
[WARNING] /home/jenkins/workspace/OSS/L0_MergeRequest/oss/parsers/onnx/onnx2trt_utils.cpp:220: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[INFO] Detected input dimensions from the model: (-1, 3, 160, 160)
[INFO] Model has dynamic shape. Setting up optimization profiles.
[INFO] Using optimization profile min shape: (1, 3, 160, 160) for input: input_1
[INFO] Using optimization profile opt shape: (1, 3, 160, 160) for input: input_1
[INFO] Using optimization profile max shape: (2, 3, 160, 160) for input: input_1
[WARNING] Half2 support requested on hardware without native FP16 support, performance will be negatively affected.
[INFO] Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output.
[INFO] Detected 1 inputs and 1 output network tensors.
[INFO] Finished Gesture