Does model.evaluate() method do any wheight changes or backpropagation on the model?

I want to see the loss and the rmse for the testset, and i'm using the model.evaluate(test_x,test_y) method in keras, and after some search in the official documentation i didn't find any clear definition of the method,i wonder if the method do any modification on the weight and biases of the model and 'train' on the testset