Tags: quic/aimet
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Work-around onnx version converter issue for models with external (#5… …371) weights If onnx version converter fails, upgrade and map weights separately resolves #5367 Signed-off-by: Bhushan Sonawane <quic_bhushans@quicinc.com> Co-authored-by: Bhushan Sonawane <quic_bhushans@quicinc.com>
AdaScale: Maintain LR per model and apply it * Remove hardcoding to the first sample during loss computation * Fix tuples being passed to loss func Signed-off-by: yathindra kota <quic_ykota@quicinc.com> Co-authored-by: yathindra kota <quic_ykota@quicinc.com>
images on pypi are not rendered correctly due to relative link to rep… …o (#4890) uploaded images instead to AWS and reference from there resolves #4710 Signed-off-by: Bhushan Sonawane <quic_bhushans@quicinc.com> Co-authored-by: Bhushan Sonawane <quic_bhushans@quicinc.com>
version 2.1.0 Release of the AI Model Efficiency toolkit package User guide: https://quic.github.io/aimet-pages/releases/2.1.0/user_guide/index.html API documentation: https://quic.github.io/aimet-pages/releases/2.1.0/api_docs/index.html Documentation main page: https://quic.github.io/aimet-pages/index.html
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