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# prepare_qat

class torch.ao.quantization.prepare_qat(model, mapping=None, inplace=False)

  Prepares a copy of the model for quantization calibration or quantization-aware training and converts it to quantized version.

  Quantization configuration should be assigned preemptively to individual submodules in .qconfig attribute.

  Parameters:

    - model – input model to be modified in-place

    - mapping – dictionary that maps float modules to quantized modules to be replaced.

    - inplace – carry out model transformations in-place, the original module is mutated

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