  SQUAD task can be found at transformers/examples/research_projects/quantization-qdqbert/.
This model was contributed by shangz.
Set default quantizers
QDQBERT model adds fake quantization operations (pair of QuantizeLinear/DequantizeLinear ops) to BERT by
TensorQuantizer in Pytorch Quantization Toolkit. TensorQuantizer is the module
for quantizing tensors, with QuantDescriptor defining how the tensor should be quantized. Refer to Pytorch
Quantization Toolkit userguide for more details.
Before creating QDQBERT model, one has to set the default QuantDescriptor defining default tensor quantizers.
Example:
```python
import pytorch_quantization.nn as quant_nn
from pytorch_quantization.tensor_quant import QuantDescriptor
The default tensor quantizer is set to use Max calibration method
input_desc = QuantDescriptor(num_bits=8, calib_method="max")
