I imported my ONNX model using a parser in TensorRT.
My ONNX model include two conv1d layers.
I did not see any 1D convolution layer in the TensorRT layer list (see 2. Layers and Features) :
Support Matrix :: NVIDIA Deep Learning TensorRT Documentation
There is only IConvolutionLayer for 2D and 3D convolution.
I would like to know if TensorRT uses a specific conv1d layer or if it adapts his conv2d layer to 1D.
I also would like to know if there are some specific features with 1D (caveats, thinks to avoid, differents ways to optimize than if it would be 2D).