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Add int search space

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This commit is contained in:
D-X-Y
2021-03-18 16:02:55 +08:00
parent ece6ac5f41
commit 63c8bb9bc8
67 changed files with 5150 additions and 1474 deletions
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61
exps/NATS-Bench/draw-fig8.py
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@@ -28,7 +28,9 @@ from nats_bench import create
from log_utils import time_string
plt.rcParams.update({"text.usetex": True, "font.family": "sans-serif", "font.sans-serif": ["Helvetica"]})
plt.rcParams.update(
{"text.usetex": True, "font.family": "sans-serif", "font.sans-serif": ["Helvetica"]}
)
## for Palatino and other serif fonts use:
plt.rcParams.update(
{
@@ -57,16 +59,22 @@ def fetch_data(root_dir="./output/search", search_space="tss", dataset=None):
raise ValueError("Unkonwn search space: {:}".format(search_space))
alg2all[r"REA ($\mathcal{H}^{0}$)"] = dict(
path=os.path.join(ss_dir, dataset + suffixes[0], "R-EA-SS3", "results.pth"), color="b", linestyle="-"
path=os.path.join(ss_dir, dataset + suffixes[0], "R-EA-SS3", "results.pth"),
color="b",
linestyle="-",
)
alg2all[r"REA ({:})".format(hp)] = dict(
path=os.path.join(ss_dir, dataset + suffixes[1], "R-EA-SS3", "results.pth"), color="b", linestyle="--"
path=os.path.join(ss_dir, dataset + suffixes[1], "R-EA-SS3", "results.pth"),
color="b",
linestyle="--",
)
for alg, xdata in alg2all.items():
data = torch.load(xdata["path"])
for index, info in data.items():
info["time_w_arch"] = [(x, y) for x, y in zip(info["all_total_times"], info["all_archs"])]
info["time_w_arch"] = [
(x, y) for x, y in zip(info["all_total_times"], info["all_archs"])
]
for j, arch in enumerate(info["all_archs"]):
assert arch != -1, "invalid arch from {:} {:} {:} ({:}, {:})".format(
alg, search_space, dataset, index, j
@@ -81,12 +89,16 @@ def query_performance(api, data, dataset, ticket):
time_w_arch = sorted(info["time_w_arch"], key=lambda x: abs(x[0] - ticket))
time_a, arch_a = time_w_arch[0]
time_b, arch_b = time_w_arch[1]
info_a = api.get_more_info(arch_a, dataset=dataset, hp=90 if is_size_space else 200, is_random=False)
info_b = api.get_more_info(arch_b, dataset=dataset, hp=90 if is_size_space else 200, is_random=False)
info_a = api.get_more_info(
arch_a, dataset=dataset, hp=90 if is_size_space else 200, is_random=False
)
info_b = api.get_more_info(
arch_b, dataset=dataset, hp=90 if is_size_space else 200, is_random=False
)
accuracy_a, accuracy_b = info_a["test-accuracy"], info_b["test-accuracy"]
interplate = (time_b - ticket) / (time_b - time_a) * accuracy_a + (ticket - time_a) / (
time_b - time_a
) * accuracy_b
interplate = (time_b - ticket) / (time_b - time_a) * accuracy_a + (
ticket - time_a
) / (time_b - time_a) * accuracy_b
results.append(interplate)
# return sum(results) / len(results)
return np.mean(results), np.std(results)
@@ -119,7 +131,11 @@ x_axis_s = {
("ImageNet16-120", "sss"): 600,
}
name2label = {"cifar10": "CIFAR-10", "cifar100": "CIFAR-100", "ImageNet16-120": "ImageNet-16-120"}
name2label = {
"cifar10": "CIFAR-10",
"cifar100": "CIFAR-100",
"ImageNet16-120": "ImageNet-16-120",
}
spaces2latex = {
"tss": r"$\mathcal{S}_{t}$",
@@ -149,7 +165,9 @@ def visualize_curve(api_dict, vis_save_dir):
alg2data = fetch_data(search_space=search_space, dataset=dataset)
alg2accuracies = OrderedDict()
total_tickets = 200
time_tickets = [float(i) / total_tickets * int(max_time) for i in range(total_tickets)]
time_tickets = [
float(i) / total_tickets * int(max_time) for i in range(total_tickets)
]
ax.set_xlim(0, x_axis_s[(dataset, search_space)])
ax.set_ylim(y_min_s[(dataset, search_space)], y_max_s[(dataset, search_space)])
for tick in ax.get_xticklabels():
@@ -162,16 +180,29 @@ def visualize_curve(api_dict, vis_save_dir):
accuracies = []
for ticket in time_tickets:
# import pdb; pdb.set_trace()
accuracy, accuracy_std = query_performance(api_dict[search_space], xdata["data"], dataset, ticket)
accuracy, accuracy_std = query_performance(
api_dict[search_space], xdata["data"], dataset, ticket
)
accuracies.append(accuracy)
# print('{:} plot alg : {:10s}, final accuracy = {:.2f}$\pm${:.2f}'.format(time_string(), alg, accuracy, accuracy_std))
print("{:} plot alg : {:10s} on {:}".format(time_string(), alg, search_space))
print(
"{:} plot alg : {:10s} on {:}".format(time_string(), alg, search_space)
)
alg2accuracies[alg] = accuracies
ax.plot(time_tickets, accuracies, c=xdata["color"], linestyle=xdata["linestyle"], label="{:}".format(alg))
ax.plot(
time_tickets,
accuracies,
c=xdata["color"],
linestyle=xdata["linestyle"],
label="{:}".format(alg),
)
ax.set_xlabel("Estimated wall-clock time", fontsize=LabelSize)
ax.set_ylabel("Test accuracy", fontsize=LabelSize)
ax.set_title(
r"Results on {:} over {:}".format(name2label[dataset], spaces2latex[search_space]), fontsize=LabelSize
r"Results on {:} over {:}".format(
name2label[dataset], spaces2latex[search_space]
),
fontsize=LabelSize,
)
ax.legend(loc=4, fontsize=LegendFontsize)