def _conv_transpose3d_act() -> _List[_BackendPatternConfig]:
    """
    float: ConvTranspose3d -> Act
    qat: FakeQuant -> qat.ConvTransposeAct3d -> FakeQuant
    """
    configs = []
    for act in _mod_activations + _relu_activations:
        configs.extend(
            _weighted_act_configs(
                mod=_nn.ConvTranspose3d,
                func_mod=_F.conv_transpose3d,
                act=act,
                fused_mod=_fused.ConvTransposeAct3d,
                qat_mod=_qat.ConvTransposeAct3d,
                ref_quant_mod=_quantized.QuantizedConvTransposeAct3d,
            )
        )
    return configs

    float: ConvTranspose3d -> Act
    qat: FakeQuant -> qat.ConvTransposeAct3d -> FakeQuant
    
coremltools/optimize/torch/quantization/_backend_config.py