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Is your feature request related to a problem? Please describe.
Currently if a network takes an input tensor which is used as shape for other layers in the graph, a shape optimization profile has to be set for this input. Eg: In the case of dynamic shapes + fallback, sym_int layers fallback to Pytorch which are passed as inputs to other subgraphs. The min, opt, max values for sym_int inputs need to be set at compile time for TensorRT to pass.
Describe the solution you'd like
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Additional context
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
Currently if a network takes an input tensor which is used as shape for other layers in the graph, a shape optimization profile has to be set for this input. Eg: In the case of dynamic shapes + fallback, sym_int layers fallback to Pytorch which are passed as inputs to other subgraphs. The min, opt, max values for sym_int inputs need to be set at compile time for TensorRT to pass.
Describe the solution you'd like
Describe alternatives you've considered
Additional context
The text was updated successfully, but these errors were encountered: