example/mnist.py [84:94]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        print('Testing loss: %.4f, accuracy: %.2f%%' % (meter_loss.value()[0], classerr.value()[0]))

    engine.hooks['on_sample'] = on_sample
    engine.hooks['on_forward'] = on_forward
    engine.hooks['on_start_epoch'] = on_start_epoch
    engine.hooks['on_end_epoch'] = on_end_epoch
    engine.train(h, get_iterator(True), maxepoch=10, optimizer=optimizer)


if __name__ == '__main__':
    main()
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



example/mnist_with_visdom.py [117:127]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        print('Testing loss: %.4f, accuracy: %.2f%%' % (meter_loss.value()[0], classerr.value()[0]))

    engine.hooks['on_sample'] = on_sample
    engine.hooks['on_forward'] = on_forward
    engine.hooks['on_start_epoch'] = on_start_epoch
    engine.hooks['on_end_epoch'] = on_end_epoch
    engine.train(h, get_iterator(True), maxepoch=10, optimizer=optimizer)


if __name__ == '__main__':
    main()
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -