convert model core dumped

[pengcheng001]

hello:
convert model from onnx to engine：pfe can convert, but fpn can not convert.
[03/23/2023-15:04:59] [TRT] [W] TensorRT encountered issues when converting weights between types and that could affect accuracy.
[03/23/2023-15:04:59] [TRT] [W] If this is not the desired behavior, please modify the weights or retrain with regularization to adjust the magnitude of the weights.
[03/23/2023-15:04:59] [TRT] [W] Check verbose logs for the list of affected weights.
[03/23/2023-15:04:59] [TRT] [W] - 41 weights are affected by this issue: Detected subnormal FP16 values.
[03/23/2023-15:04:59] [TRT] [W] - 21 weights are affected by this issue: Detected values less than smallest positive FP16 subnormal value and converted them to the FP16 minimum subnormalized value.
deserialize the engine . . .
[03/23/2023-15:04:59] [TRT] [W] CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See CUDA_MODULE_LOADING in https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars
context_rpn <tensorrt.tensorrt.IExecutionContext object at 0x7f77521fa458>
Segmentation fault (core dumped)

run C++ tensorRT: the fpn also core dumped

[HaohaoNJU]

pls make sure you have sufficient GPU memory, also if you are not sure
whether onnx file can be loaded by your TensorRT, you can run with
trtexec --onnx=rpn.onnx --fp16 --saveEngine=rpn.trt to check it out

[sebotech]

Where can I find GPU memory requirements?