Comments (5)
@quic-akhobare, could you help answer this?
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Hi @zkdfbb - This problem happens due to the mismatch in pybind, libpython versions from what I remember. To give you a clue of how this was resolved before.
What version of PyTorch are you compiling against?
from aimet.
Hi @zkdfbb - This problem happens due to the mismatch in pybind, libpython versions from what I remember. To give you a clue of how this was resolved before.
What version of PyTorch are you compiling against?
Hi@quic-akhobare , the pytorch version is 2.0.0, based on https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-23-05.html
from aimet.
Hi @zkdfbb - This problem happens due to the mismatch in pybind, libpython versions from what I remember. To give you a clue of how this was resolved before.
What version of PyTorch are you compiling against?Hi@quic-akhobare , the pytorch version is 2.0.0, based on https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-23-05.html
Apologies for the late response. We have not yet tested AIMET against PyTorch 2.0 - so kinda hard to guide you specifically. But I believe this likely boils down to a version mismatch in pybind or libpython..
Possible for you to use PyTorch 1.13 for the short-term because we know that works against AIMET? The AIMET team should start looking at adding/testing support for PyTorch 2.0 but I don't have a firm ETA yet.
from aimet.
Hi @zkdfbb - This problem happens due to the mismatch in pybind, libpython versions from what I remember. To give you a clue of how this was resolved before.
What version of PyTorch are you compiling against?Hi@quic-akhobare , the pytorch version is 2.0.0, based on https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-23-05.html
Apologies for the late response. We have not yet tested AIMET against PyTorch 2.0 - so kinda hard to guide you specifically. But I believe this likely boils down to a version mismatch in pybind or libpython..
Possible for you to use PyTorch 1.13 for the short-term because we know that works against AIMET? The AIMET team should start looking at adding/testing support for PyTorch 2.0 but I don't have a firm ETA yet.
Thanks for your advise, I will try and waiting for your testing result.
from aimet.
Related Issues (20)
- Add profiling utility
- Documentation update for missing imports and blank spaces
- Input tensor encoding not getting applied using `load_encoding_to_sim` api
- lapacke issues while building AIMET from source HOT 3
- Issues building AIMET due to CUDA mess HOT 3
- Float quantizer api reference
- [PART 2] Deprecate pytorch autoquant v1
- [PART 2] Deprecate pytorch autoquant v1
- aimet v 1.31.0 installation HOT 1
- Save torch encodings with 1.0.0 export
- Updating Float Quantizer Documentation
- Export model by using Aimet for AI stack stable diffusion demo HOT 1
- Invalid constructore argument StaticGridPerTensorQuantizer HOT 7
- A way to perform activation encoding freezing with aimet_tensorflow HOT 1
- Loading model in google co-lab
- Update in default config to disable the output quantizers of cast op
- [PART 4] Deprecate pytorch autoquant v1
- AIMET 1.32.0 with torch 2.1 HOT 1
- Example Notebook for ONNX AdaRound
- Key Error auto_quant.optimize
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