2bf8adc6913f17dfe8324b1b1a63df4d2b92b9a1,scripts/language_model/large_word_language_model.py,,test,#Any#Any#Any#,268

Before Change

        avg = (total_L / ntotal).asscalar()
        if nbatch % args.log_interval == 0:
            print("Evaluation batch %d: test loss %.2f, test ppl %.2f"
                  %(nbatch, avg, math.exp(avg)))
        if max_nbatch_eval and nbatch > max_nbatch_eval:
            print("Quit evaluation early at batch %d"%nbatch)
            break

After Change

        nbatch += 1
        avg = total_L / ntotal
        if nbatch % args.log_interval == 0:
            avg_scalar = float(avg.asscalar())
            ppl = math.exp(avg_scalar)
            throughput = batch_size*args.log_interval/(time.time()-start_time)
            print("Evaluation batch %d: test loss %.2f, test ppl %.2f, "
                  "throughput = %.2f samples/s"%(nbatch, avg_scalar, ppl, throughput))
            start_time = time.time()

Instances