Reason for returning dequantized (fp.32) value at every layer of I-BERT.
In I-Bert(/src/transformers/models/ibert/quant_modules.py#L114)

Kindly let me know the reason to return the dequantized(fp.32) value (quantized_input*scaling_factor) at every quantized-layer as seen below:-
`classQuantAct(nn.Module):
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return quant_act_int * correct_output_scale, self.act_scaling_factor
`class QuantLinear(nn.Module):
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return (nn.functional.linear(x_int, weight=self.weight_integer, bias=self.bias_integer) * bias_scaling_factor,bias_scaling_factor,)
`
`
Why can't we simply return quant_act_int  or  nn.functional.linear(x_int, weight=self.weight_integer, bias=self.bias_integer) for the next layers![https://github.com/huggingface/transformers/blob/1a00863e95655c6914202c2dbf3b091dfb3f04c1/src/transformers/models/ibert/quant_modules.py#L114](url)
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