Update visualization codes for NATS-Bench
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@@ -43,20 +43,14 @@ def fetch_data(root_dir='./output/search', search_space='tss', dataset=None):
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# alg2name['REINFORCE'] = 'REINFORCE-0.01'
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# alg2name['RANDOM'] = 'RANDOM'
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# alg2name['BOHB'] = 'BOHB'
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if dataset == 'cifar10':
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suffixes = ['-T200000', '-T200000-FULL']
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elif dataset == 'cifar100':
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suffixes = ['-T40000', '-T40000-FULL']
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elif search_space == 'tss':
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suffixes = ['-T120000', '-T120000-FULL']
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elif search_space == 'sss':
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suffixes = ['-T60000', '-T60000-FULL']
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else:
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raise ValueError('Unkonwn dataset : {:}'.format(dataset))
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if search_space == 'tss':
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hp = '$\mathcal{H}^{1}$'
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if dataset == 'cifar10':
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suffixes = ['-T800000', '-T800000-FULL']
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elif search_space == 'sss':
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hp = '$\mathcal{H}^{2}$'
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if dataset == 'cifar10':
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suffixes = ['-T200000', '-T200000-FULL']
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else:
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raise ValueError('Unkonwn search space: {:}'.format(search_space))
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@@ -92,21 +86,21 @@ def query_performance(api, data, dataset, ticket):
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return np.mean(results), np.std(results)
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y_min_s = {('cifar10', 'tss'): 90,
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('cifar10', 'sss'): 90,
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y_min_s = {('cifar10', 'tss'): 91,
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('cifar10', 'sss'): 91,
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('cifar100', 'tss'): 65,
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('cifar100', 'sss'): 65,
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('ImageNet16-120', 'tss'): 36,
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('ImageNet16-120', 'sss'): 40}
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y_max_s = {('cifar10', 'tss'): 94.5,
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('cifar10', 'sss'): 94.5,
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('cifar10', 'sss'): 93.5,
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('cifar100', 'tss'): 72.5,
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('cifar100', 'sss'): 70.5,
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('ImageNet16-120', 'tss'): 46,
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('ImageNet16-120', 'sss'): 46}
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x_axis_s = {('cifar10', 'tss'): 200000,
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x_axis_s = {('cifar10', 'tss'): 800000,
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('cifar10', 'sss'): 200000,
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('cifar100', 'tss'): 400,
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('cifar100', 'sss'): 400,
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@@ -124,9 +118,9 @@ def visualize_curve(api_dict, vis_save_dir):
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vis_save_dir = vis_save_dir.resolve()
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vis_save_dir.mkdir(parents=True, exist_ok=True)
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dpi, width, height = 250, 4000, 2400
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dpi, width, height = 250, 5000, 2000
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figsize = width / float(dpi), height / float(dpi)
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LabelSize, LegendFontsize = 16, 16
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LabelSize, LegendFontsize = 28, 28
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def sub_plot_fn(ax, search_space, dataset):
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max_time = x_axis_s[(dataset, search_space)]
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@@ -137,6 +131,11 @@ def visualize_curve(api_dict, vis_save_dir):
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ax.set_xlim(0, x_axis_s[(dataset, search_space)])
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ax.set_ylim(y_min_s[(dataset, search_space)],
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y_max_s[(dataset, search_space)])
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for tick in ax.get_xticklabels():
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tick.set_rotation(25)
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tick.set_fontsize(LabelSize - 6)
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for tick in ax.get_yticklabels():
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tick.set_fontsize(LabelSize - 6)
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for idx, (alg, xdata) in enumerate(alg2data.items()):
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accuracies = []
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for ticket in time_tickets:
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@@ -150,8 +149,8 @@ def visualize_curve(api_dict, vis_save_dir):
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ax.plot(time_tickets, accuracies, c=xdata['color'], linestyle=xdata['linestyle'], label='{:}'.format(alg))
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ax.set_xlabel('Estimated wall-clock time', fontsize=LabelSize)
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ax.set_ylabel('Test accuracy', fontsize=LabelSize)
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ax.set_title(r'Searching results on {:} for {:}'.format(name2label[dataset], spaces2latex[search_space]),
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fontsize=LabelSize+4)
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ax.set_title(r'Results on {:} over {:}'.format(name2label[dataset], spaces2latex[search_space]),
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fontsize=LabelSize)
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ax.legend(loc=4, fontsize=LegendFontsize)
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fig, axs = plt.subplots(1, 2, figsize=figsize)
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@@ -165,7 +164,7 @@ def visualize_curve(api_dict, vis_save_dir):
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size', formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument('--save_dir', type=str, default='output/vis-nas-bench/nas-algos-vs-h', help='Folder to save checkpoints and log.')
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parser.add_argument('--save_dir', type=str, default='output/vis-nas-bench/nas-algos-vs-h', help='Folder to save checkpoints and log.')
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args = parser.parse_args()
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save_dir = Path(args.save_dir)
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