How do I determine the training “accuracy” for a T

Question

I'm aware that "accuracy" isn't what measured against the training set for a neural network during training, but I'd like to know, essentially

what would happen if I stop trianing now and try to evaluate training set in terms of accuracy

at various points during training of a TensorFlow network being trained with dropout.

Can this question be answered simply by running with the training data and keep_prob == 1.0, that is with something like

sess.run(accuracy, feed_dict={x: train_x, y_: train_y, keep_prob: 1.0})