I’m writing a program that converts a trained TF network to Tensorrt. I have met so many issues.
The raw input is a set of points with shape [batch_size, feature_channel=3 (e.g.: x,y,z), points_size]
In one of the custom ops(plugin), the output shape of the operation should be a list of indices with shape: [batch_size, indices_size]
I’m confused about how can we set the output dimension to 1D in the “getOutputDimensions” function.
Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) override;
Here, it should returns
In the code of example plugins, it seems that the batch_size should not be included in the returned dims. But I also found that the returned dims must have at least two dimensions. How can I resolve it? Thanks in advance!