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                                            Lion Müller

Error in MovingAverageQuantizer with per_axis=True due to missing parameters in _add_range_weights

**Describe the bug** Using the `MovingAverageQuantizer` with parameter `per_axis` set to True results in this error: > tensorflow_model_optimization\python\core\quantization\keras\quant_ops.py", line 335, in _FakeQuantWithMinMaxVars * > assert len(min_var.get_shape()) == 1 It's caused...

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