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Does default package support ONNX? #3528

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NikilXYZ opened this issue Nov 22, 2024 · 2 comments
Open

Does default package support ONNX? #3528

NikilXYZ opened this issue Nov 22, 2024 · 2 comments
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documentation Improvements or additions to documentation installation Installation instructions

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@NikilXYZ
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The docs are a bit unclear - what version should I download for using with Torch, ONNX, and CUDA 12.4?

Do I need to download multiple versions?

@NikilXYZ
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And relatedly, what if I want to use the latest version of torch? Do I have to downgrade to 2.2.2 or 2.1 instead of (as of today) 2.5.1?

@quic-bharathr quic-bharathr self-assigned this Jan 14, 2025
@quic-bharathr quic-bharathr added documentation Improvements or additions to documentation installation Installation instructions labels Jan 14, 2025
@quic-bharathr
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quic-bharathr commented Jan 14, 2025

Hi @NikilXYZ sorry about the confusion. Our latest documentation attempts to provide clarity on appropriate AIMET package to install: https://quic.github.io/aimet-pages/releases/latest/install/index.html

  1. To install the latest version of AIMET that is compatible with the new Torch versions, see: https://quic.github.io/aimet-pages/releases/latest/install/quick-start.html
  2. For other variants of AIMET (TensorFlow, ONNX and specific PyTorch versions / GPU / CPU environments), see: https://quic.github.io/aimet-pages/releases/latest/install/index.html#alternative-packages

You need to download one AIMET version for each framework that you want to use AIMET with. The supported environments for each package are documented on our releases page: https://github.com/quic/aimet/releases

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