def _matmul_act() -> _List[_BackendPatternConfig]:
    """
    float:
    input_1 ->
                matmul -> Act -> output
    input_2 ->

    qat:
    FakeQuant ->
                 matmul -> Act -> FakeQuant
    FakeQuant ->
    """
    acts = _mod_activations + _func_activations + (_nn.ReLU, _F.relu, _torch.relu)
    return _binary_op_act_configs(ops=[_torch.matmul], acts=list(acts))

    float:
    input_1 ->
                matmul -> Act -> output
    input_2 ->

    qat:
    FakeQuant ->
                 matmul -> Act -> FakeQuant
    FakeQuant ->
    
coremltools/optimize/torch/quantization/_backend_config.py