7331bc49dab2d0078054b25500890f8d3eb7733e,mnist-collection/classification.py,,train,#,107

Before Change

             "batch_size": args.batch_size,
             "outputs": {"y": F.softmax(vpred)},
             "names": {"x": vimage}}],
        "executors": [
            {"name": "Runtime",
             "network": "Validation",
             "data": ["x"],
             "output": ["y"]}]}
    save.save(os.path.join(args.model_save_path,
                           "{}_result.nnp".format(args.net)), runtime_contents)

After Change

    if args.checkpoint is not None:
        // load weights and solver state info from specified checkpoint file.
        start_point = load_checkpoint(args.checkpoint, solver)

    // Create monitor.
    from nnabla.monitor import Monitor, MonitorSeries, MonitorTimeElapsed
    monitor = Monitor(args.monitor_path)

Instances