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Enable TF quantsim per channel range learning #1156

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quic-klhsieh
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fixes #1155

Signed-off-by: Kevin Hsieh <quic_klhsieh@quicinc.com>
@quic-klhsieh quic-klhsieh self-assigned this Apr 5, 2022
@quic-klhsieh quic-klhsieh merged commit 974eb17 into quic:develop Apr 5, 2022
@quic-klhsieh quic-klhsieh deleted the enable_tf_quantsim_per_channel_range_learning branch April 5, 2022 16:05
quic-huzh added a commit to quic-huzh/aimet that referenced this pull request Jun 30, 2023
Signed-off-by: Huan Zhao <quic_huzh@quicinc.com>

Support FP16 native torch quantizer using cast

Signed-off-by: Huan Zhao <quic_huzh@quicinc.com>

Fixed some comment

Signed-off-by: Huan Zhao <quic_huzh@quicinc.com>

Move functions related to quantizer to quantsim_utils

Signed-off-by: Huan Zhao <quic_huzh@quicinc.com>

Removed uncertain check caused by different version of onnx

Signed-off-by: Huan Zhao <quic_huzh@quicinc.com>

Change API to call embedded encodings from single function to sim.export

Signed-off-by: Huan Zhao <quic_huzh@quicinc.com>

Renamed use_embedded_encodings and raise error when use strict symmetric.

Signed-off-by: Huan Zhao <quic_huzh@quicinc.com>

Resolved conflicts and added testing cases to ensure the output of native torch quantization nodes is correct

Signed-off-by: Huan Zhao <quic_huzh@quicinc.com>
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Enable TF quantsim per channel range learning
2 participants