8.0b2 linear_quantize_activations crash
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Description
## 🐞Describing the bug
I'm using 8.0b2 to quant my mlpkg, a resnet and transformer model. It crashed after printed 'calibration success'.
Debug:
in **_model_debugger.py--step function:** outputs = model.predict(inputs), outputs lost 5 layers which I could find in preview mlpackge in xcode.
When **_post_training_quatization.py--_adjust_concat_surrounding_activation_stats function** went to the line group_rmin_list.append(activation_stats_dict[tensor_name]["rmin"]), it crashed. Cuz the five lost layers were in concat_list_adjusted/concat_op_info_list, but not in activation_stats_dict.
Currently not sure is it a bug? What can I do for it?
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