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                                            tarun

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yolov4-tiny retrain

Getting a similar error after quantization for tiny-yolov4 with `--quantzied=1`: ``` RuntimeError: Error(s) in loading state_dict for Darknet: Unexpected key(s) in state_dict: "module_list.0.Conv2d.activation_quantizer.scale", "module_list.0.Conv2d.activation_quantizer.zero_point", "module_list.0.Conv2d.activation_quantizer.range_tracker.min_val", "module_list.0.Conv2d.activation_quantizer.range_tracker.max_val", "module_list.0.Conv2d.activation_quantizer.range_tracker.first_a", "module_list.0.Conv2d.weight_quantizer.scale", "module_list.0.Conv2d.weight_quantizer.zero_point", "module_list.0.Conv2d.weight_quantizer.range_tracker.min_val",...

option --use-feature: invalid choice: '2020-resolver' (choose from 'fast-deps', 'truststore', 'no-binary-enable-wheel-cache') issues

> pip install pip==21.0 This works just fine!