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Recently I'm working on a project trying to use a SparseConvNet model in a robotic system.
On one hand I tried to convert this python model to a TorchScript file. This seems to be a little bit difficult since SparseConvNet envolves a lot of special operations and control flows.
On the other hand I want to use tensorRT to speed up this model for real time performance. For this purpose I need to export this pytorch model to ONNX.
Can somebody kindly give me some suggestions?
SparseConvNet is much faster than common 3dconv but I got stuck in model exportation.
The text was updated successfully, but these errors were encountered:
------------------ 原始邮件 ------------------
发件人: "facebookresearch/SparseConvNet" <[email protected]>;
发送时间: 2020年8月13日(星期四) 上午10:22
收件人: "facebookresearch/SparseConvNet"<[email protected]>;
抄送: "叨叨令"<[email protected]>;"Comment"<[email protected]>;
主题: Re: [facebookresearch/SparseConvNet] Use SparseConvNet with C++ / tensorRT (#170)
I think this one havent been supported yet. Issue 156
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Recently I'm working on a project trying to use a SparseConvNet model in a robotic system.
On one hand I tried to convert this python model to a TorchScript file. This seems to be a little bit difficult since SparseConvNet envolves a lot of special operations and control flows.
On the other hand I want to use tensorRT to speed up this model for real time performance. For this purpose I need to export this pytorch model to ONNX.
Can somebody kindly give me some suggestions?
SparseConvNet is much faster than common 3dconv but I got stuck in model exportation.
The text was updated successfully, but these errors were encountered: