However, Is there an easier way When encountering the following situation?
model has three parameters (parameter_1, parameter_2  and parameter_3),
first, model need update all parameters.
During the training process, parameter_1 and parameter_2 will be updated sometimes, sometimes parameter_1 and parameter_3.
So, we need three optimizers:
optimizer_1—>parameter_1, parameter_2  and parameter_3
optimizer_2—>parameter_1 and parameter_2
optimizer_3—>parameter_1 and parameter_3
But how to deal with when there are more parameters ?
I hope my expression is clear.