Yann POURCENOUX

PCQAT not working if Conv2D has kernel size 1x1

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**Describe the bug** When doing the [Sparsity and cluster preserving quantization aware training (PCQAT) Keras example](https://www.tensorflow.org/model_optimization/guide/combine/pcqat_example), if I use a Conv2D Layer with a kernel size of `(1, 1)` the...

loc("model/FPN/FPN/FPN//Concatenate_p_1/concat"): error: 'tfl.concatenation' op quantization parameters violate the same scale constraint: !quant.uniform<i8:f32, 9.9999999999999995E-7> vs. !quant.uniform<i8:f32, 4.9130543629871681E-5:-128>

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### 1. System information - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 20.04 - TensorFlow installation (pip package or built from source): pip - TensorFlow library (version, if...

I am running with `lines_before_imports=1` in my config file but the line before imports is added only if there are other changes to do in the file. _Example 1:_ This...

Training fails when using Yogi extended with weight decay as optimizer

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**System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 20.04 - TensorFlow version and how it was installed (source or binary): TF 2.5.3 from pip - TensorFlow-Addons...