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Can onnxruntime.quantization.quantize_dynamic() work with onnx-trt? #21169

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myunuro opened this issue Jun 25, 2024 · 1 comment
Open

Can onnxruntime.quantization.quantize_dynamic() work with onnx-trt? #21169

myunuro opened this issue Jun 25, 2024 · 1 comment
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ep:TensorRT issues related to TensorRT execution provider quantization issues related to quantization stale issues that have not been addressed in a while; categorized by a bot

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@myunuro
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myunuro commented Jun 25, 2024

Describe the issue

Hi,

I'd like to try quantize_dynamic() on our models, but I notice that it will insert DynamicQuantizeLinear into the graph. And onnx-trt doesn't support it yet. Are there any onnx official TRT plugin to support it? Or is there any other workaround for it?

Thanks,

To reproduce

N/A

Urgency

No response

Platform

Linux

OS Version

20.04

ONNX Runtime Installation

Built from Source

ONNX Runtime Version or Commit ID

1.17.0

ONNX Runtime API

Python

Architecture

X86

Execution Provider

CUDA

Execution Provider Library Version

CUDA 12.2

@github-actions github-actions bot added ep:CUDA issues related to the CUDA execution provider ep:TensorRT issues related to TensorRT execution provider quantization issues related to quantization labels Jun 25, 2024
@sophies927 sophies927 removed the ep:CUDA issues related to the CUDA execution provider label Jun 27, 2024
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This issue has been automatically marked as stale due to inactivity and will be closed in 30 days if no further activity occurs. If further support is needed, please provide an update and/or more details.

@github-actions github-actions bot added the stale issues that have not been addressed in a while; categorized by a bot label Jul 28, 2024
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Labels
ep:TensorRT issues related to TensorRT execution provider quantization issues related to quantization stale issues that have not been addressed in a while; categorized by a bot
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