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Fix NB201 Tests #215

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Fix NB201 Tests #215

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48 changes: 25 additions & 23 deletions tests/test_benchmarks.py
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Original file line number Diff line number Diff line change
Expand Up @@ -126,55 +126,57 @@ def test_nb201_benchmark(self) -> None:
from confopt.benchmark import NB201Benchmark

api = NB201Benchmark()
query_result = api.query(nb201_genotype)

# check cifar 10
query_result = api.query(nb201_genotype, dataset="cifar10")
dataset = "cifar10"
train_result = 99.78
test_result = 92.32
assert query_result["benchmark/train_top1"] == train_result
assert query_result["benchmark/test_top1"] == test_result
assert query_result[f"benchmark/{dataset}/train_top1"] == train_result
assert query_result[f"benchmark/{dataset}/test_top1"] == test_result

# check cifar100
query_result = api.query(nb201_genotype, dataset="cifar100")
dataset = "cifar100"
train_result = 91.19
valid_result = 67.7
test_result = 67.94
assert query_result["benchmark/train_top1"] == train_result
assert query_result["benchmark/valid_top1"] == valid_result
assert query_result["benchmark/test_top1"] == test_result
assert query_result[f"benchmark/{dataset}/train_top1"] == train_result
assert query_result[f"benchmark/{dataset}/valid_top1"] == valid_result
assert query_result[f"benchmark/{dataset}/test_top1"] == test_result

# check imagenet
query_result = api.query(nb201_genotype, dataset="imagenet16")
dataset="imagenet16"
train_result = 46.84
valid_result = 41.0
test_result = 41.47
assert query_result["benchmark/train_top1"] == train_result
assert query_result["benchmark/valid_top1"] == valid_result
assert query_result["benchmark/test_top1"] == test_result
assert query_result[f"benchmark/{dataset}/train_top1"] == train_result
assert query_result[f"benchmark/{dataset}/valid_top1"] == valid_result
assert query_result[f"benchmark/{dataset}/test_top1"] == test_result

@pytest.mark.benchmark() # type: ignore
def test_nb201_benchmark_fail(self) -> None:
from confopt.benchmark import NB201Benchmark

api = NB201Benchmark()
query_result = api.query(nb201_genotype_fail)

# check cifar 10
query_result = api.query(nb201_genotype_fail, dataset="cifar10")
assert query_result["benchmark/train_top1"] == 10.0
assert query_result["benchmark/valid_top1"] == 0.0
assert query_result["benchmark/test_top1"] == 10.0
dataset = "cifar10"
assert query_result[f"benchmark/{dataset}/train_top1"] == 10.0
assert query_result[f"benchmark/{dataset}/valid_top1"] == 0.0
assert query_result[f"benchmark/{dataset}/test_top1"] == 10.0

# check cifar100
query_result = api.query(nb201_genotype_fail, dataset="cifar100")
assert query_result["benchmark/train_top1"] == 1.0
assert query_result["benchmark/valid_top1"] == 1.0
assert query_result["benchmark/test_top1"] == 1.0
dataset="cifar100"
assert query_result[f"benchmark/{dataset}/train_top1"] == 1.0
assert query_result[f"benchmark/{dataset}/valid_top1"] == 1.0
assert query_result[f"benchmark/{dataset}/test_top1"] == 1.0

# check imagenet
query_result = api.query(nb201_genotype_fail, dataset="imagenet16")
assert query_result["benchmark/train_top1"] == 0.86
assert query_result["benchmark/valid_top1"] == 0.83
assert query_result["benchmark/test_top1"] == 0.83
dataset="imagenet16"
assert query_result[f"benchmark/{dataset}/train_top1"] == 0.86
assert query_result[f"benchmark/{dataset}/valid_top1"] == 0.83
assert query_result[f"benchmark/{dataset}/test_top1"] == 0.83

@pytest.mark.benchmark() # type: ignore
def test_nb301_benchmark(self) -> None:
Expand Down