`for nstep in range(nSteps):
    i = nstep % nSteps
    batch_xs = np.reshape(x_train,(nSteps,bSize,nPixels))
    batch_ys = np.reshape(y_train,(nSteps,bSize,nLabels))
    sess.run(train_step, feed_dict={x: batch_xs[i], y_: batch_ys[i]})
        if nstep % 100 == 0:
            acc1 = sess.run(accuracy,feed_dict={x: x_train, y_:y_train})
            acc2 = sess.run(accuracy, feed_dict={x: x_test, y_: y_test})`