Open lhai37 opened 8 months ago
ref
https://docs.nvidia.com/deeplearning/tensorrt/operators/docs/Pooling.html https://docs.nvidia.com/deeplearning/tensorrt/api/python_api/infer/Graph/Layers.html#ipoolinglayer
Computes a per-channel pooling using a sampling window on the input tensor into an output tensor. The supported sampling window shapes are 2-D or 3-D.
If you need 2 outputs of pooling layer, i think for now you’d need to use a plugin.
Is there any existing plugin for MaxPool with 2 outputs? I looked through the default plugins that are shipped with TensorRT and didn't see any there, but perhaps someone has already created this elsewhere.
You can write a custom plugin by yourself.
Is there any existing plugin for MaxPool with 2 outputs? I looked through the default plugins that are shipped with TensorRT and didn't see any there, but perhaps someone has already created this elsewhere.
Were you able to solve the issue? If so, can you please share the plugin? Thanks.
You can upload your torch network code fragment about maxpool.
Description
I tried to run the attached ONNX model through trtexec, but it fails with the error:
node.output().size() == 1 && "TensorRT does not support the indices output in MaxPool!"
. This is because MaxPool is being used in the model to produce 2 outputs: the values and indices. Upon checking the officially supported ONNX operators I see that MaxPool layer withindices
output is not supported even in TensorRT 10 EA. Is there any plan to support this or workaround for this issue?Environment
TensorRT Version: 8.6
NVIDIA GPU: RTX 3090
NVIDIA Driver Version: 545
CUDA Version: 11.6
CUDNN Version: 8.8
Operating System: Ubuntu 20.04 64-bit
Python Version (if applicable):
Tensorflow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if so, version):
Relevant Files
Model link: https://drive.google.com/file/d/1ZvhQiG9NT92CbVK7oAznBR_rAlF5AzzF/view?usp=sharing
Steps To Reproduce
Run
trtexec --onnx=model.onnx
Commands or scripts: Run
trtexec --onnx=model.onnx
Have you tried the latest release?: N/A
Can this model run on other frameworks? N/A