How to close down the other Features?(for tensorflow object detection api)

I'm use the new api and it's use the model_main.py to training ,but it is so slow,
I watched the tensorboard and discover the api have many features,like "DetectionBoxes_Precision","DetectionBoxes_Recall","learning_rate"....
I assume that features is the reason of why api is so slow,
SO, my question is : If I want to boost the training speeds,I assume I should clear the other features,only use loss ,and loss_1,loss_2,other features about evalution I want to delete.
How can I do?modify what?

System information
What is the top-level directory of the model you are using:
model/research
Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
no
OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
win10
TensorFlow installed from (source or binary):
pip
TensorFlow version (use command below):
1.9.0
Bazel version (if compiling from source):
don't know
CUDA/cuDNN version:
cuda:9 , cuDNN:7
GPU model and memory:
ASUS ROG Strix GeForce® GTX 1080
Exact command to reproduce:
don't