Tensorflow Object Detection: use Adam instead of RMSProp

Question

I'm training a CNN with this [.config file][1]:

rms_prop_optimizer: {
    learning_rate: {
      exponential_decay_learning_rate {
        initial_learning_rate: 0.004
        decay_steps: 800720
        decay_factor: 0.95
      }
    }
   momentum_optimizer_value: 0.9
   decay: 0.9
   epsilon: 1.0
}   

}
As you can see there is a rms_prop as optimizer. What if I would like to use Adam? How am I supposed to edit this file?

Answer 1

Sorry if I am late but I am researching this field nowadays.

I realized we can check inside this directory for some examples of ADAM optimizers:

Tensorflow/models/research/object_detection/builders/optimizer_builder_tf2_test.py

Here is the optimizer config into my pipeline.config without scheduling:

optimizer {
    adam_optimizer: {
      learning_rate: {
        constant_learning_rate {
          learning_rate: 0.0001
        }
      }
    }
    use_moving_average: false
  }