trt_graph = trt.create_inference_graph(
input_graph_def=g.as_graph_def(),
outputs=nodenames,
max_batch_size=1,
max_workspace_size_bytes=1 << 25,
precision_mode="FP32", # TRT Engine precision "FP32","FP16" or "INT8"
minimum_segment_size=2 # minimum number of nodes in an engine
)
In the created trt_graph, the input node are removed(for this model, there are multiple input nodes), how can i pass some nodenames, so that the optimization doesn’t remove/fuse them ?