prepare_qat

class torch.quantization.prepare_qat(model, mapping=None, inplace=False) [source]

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