Comments (4)
Jiang-Stan
commented on August 23, 2024
2
An onnx model supported by TensorRT should looks like
But in your case, extra Identitiy are added to Q/DQ
We found that this would happened if Pytorch version == 1.12 . So if you are using the newest pytorch, you can try Pytorch 1.9, 1.10 or 1.11 to see if it could solve your problem.
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lemuelGGG
commented on August 23, 2024
1
Thanks, my question is sloved!
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PeiqinSun
commented on August 23, 2024
Can you upload your onnx in google drive or baidu?
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lemuelGGG
commented on August 23, 2024
QDQonnx. i upload qresnet20 from example ptq, qresnet18 , qmobilenetv2 from homework.
The docker I have tried are nvcr.io/nvidia/tensorrt:22.07-py3(8.4), nvcr.io/nvidia/tensorrt:22.05-py(8.2) and nvcr.io/nvidia/tensorrt:21:09-py(8.0)
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Related Issues (20)
- torchvision densenet121 无法转成 sparsebit QuantModel HOT 4
- implementation for FQ-ViT HOT 3
- torchvision mobilenet_v2 导出 4w4f onnx 报错
- swin transformer HOT 1
- RuntimeError: Ninja is required to load C++ extensions
- KeyError: 'onnx::QuantizeLinear_711'
- Error in QAT train with DDP mode. HOT 2
- error when running generate.py under alpaca-lama HOT 1
- 我对你们的2080ti pipeline很感兴趣 HOT 2
- I wonder if the qlora do not support quantized models with groupsize!=-1 HOT 2
- errors using qViT.onnx to do inference HOT 1
- ImportError HOT 1
- An error about "x_dq = self._forward(x, scale, zero_point) " HOT 1
- A bug may have been resolved. HOT 3
- Should we install a full-version cuda instead of an anaconda-version cuda-toolkit? HOT 1
- How to deal with layers constructed by bool operations? HOT 1
- encounter keyerror when inputing module HOT 5
- How could I reproduce the results of QAT_DeiT on ImageNet? HOT 2
- QAT cifar10 example 报错 HOT 1
- QAT cifar10 example with QADD Quant enable 报错 HOT 1
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