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skip some benchmark tests #208

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537f005
skip some benchmark tests
Ldpe2G Apr 14, 2022
ba8c719
update
Ldpe2G Apr 14, 2022
92bddb4
auto format by CI
oneflow-ci-bot Apr 14, 2022
8f3c2c3
fix
jackalcooper Apr 14, 2022
e134bf3
auto format by CI
oneflow-ci-bot Apr 14, 2022
2c6f7bf
quick fix
jackalcooper Apr 14, 2022
ca8ebc6
auto format by CI
oneflow-ci-bot Apr 14, 2022
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2 changes: 2 additions & 0 deletions benchmark/__init__.py
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@@ -1,4 +1,6 @@
import numpy as np
import os
import unittest
import oneflow as flow


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20 changes: 20 additions & 0 deletions benchmark/test_alexnet.py
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Expand Up @@ -3,30 +3,50 @@
from flowvision.models.alexnet import alexnet


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_alexnet_batch_size1(benchmark, net=alexnet, input_shape=[1, 3, 224, 224]):
model, x, optimizer = fetch_args(net, input_shape)
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_alexnet_batch_size2(benchmark, net=alexnet, input_shape=[2, 3, 224, 224]):
model, x, optimizer = fetch_args(net, input_shape)
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_alexnet_batch_size4(benchmark, net=alexnet, input_shape=[4, 3, 224, 224]):
model, x, optimizer = fetch_args(net, input_shape)
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_alexnet_batch_size8(benchmark, net=alexnet, input_shape=[8, 3, 224, 224]):
model, x, optimizer = fetch_args(net, input_shape)
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_alexnet_batch_size16(benchmark, net=alexnet, input_shape=[16, 3, 224, 224]):
model, x, optimizer = fetch_args(net, input_shape)
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20 changes: 20 additions & 0 deletions benchmark/test_convnext.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,10 @@
from flowvision.models.convnext import convnext_tiny_224


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_convnext_tiny_224_batch_size1(
benchmark, net=convnext_tiny_224, input_shape=[1, 3, 224, 224]
Expand All @@ -11,6 +15,10 @@ def test_convnext_tiny_224_batch_size1(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_convnext_tiny_224_batch_size2(
benchmark, net=convnext_tiny_224, input_shape=[2, 3, 224, 224]
Expand All @@ -19,6 +27,10 @@ def test_convnext_tiny_224_batch_size2(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_convnext_tiny_224_batch_size4(
benchmark, net=convnext_tiny_224, input_shape=[4, 3, 224, 224]
Expand All @@ -27,6 +39,10 @@ def test_convnext_tiny_224_batch_size4(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_convnext_tiny_224_batch_size8(
benchmark, net=convnext_tiny_224, input_shape=[8, 3, 224, 224]
Expand All @@ -35,6 +51,10 @@ def test_convnext_tiny_224_batch_size8(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_convnext_tiny_224_batch_size16(
benchmark, net=convnext_tiny_224, input_shape=[16, 3, 224, 224]
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20 changes: 20 additions & 0 deletions benchmark/test_crossformer.py
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Expand Up @@ -3,6 +3,10 @@
from flowvision.models.crossformer import crossformer_tiny_patch4_group7_224


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_crossformer_tiny_patch4_group7_224_batch_size1(
benchmark, net=crossformer_tiny_patch4_group7_224, input_shape=[1, 3, 224, 224]
Expand All @@ -11,6 +15,10 @@ def test_crossformer_tiny_patch4_group7_224_batch_size1(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_crossformer_tiny_patch4_group7_224_batch_size2(
benchmark, net=crossformer_tiny_patch4_group7_224, input_shape=[2, 3, 224, 224]
Expand All @@ -19,6 +27,10 @@ def test_crossformer_tiny_patch4_group7_224_batch_size2(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_crossformer_tiny_patch4_group7_224_batch_size4(
benchmark, net=crossformer_tiny_patch4_group7_224, input_shape=[4, 3, 224, 224]
Expand All @@ -27,6 +39,10 @@ def test_crossformer_tiny_patch4_group7_224_batch_size4(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_crossformer_tiny_patch4_group7_224_batch_size8(
benchmark, net=crossformer_tiny_patch4_group7_224, input_shape=[8, 3, 224, 224]
Expand All @@ -35,6 +51,10 @@ def test_crossformer_tiny_patch4_group7_224_batch_size8(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_crossformer_tiny_patch4_group7_224_batch_size16(
benchmark, net=crossformer_tiny_patch4_group7_224, input_shape=[16, 3, 224, 224]
Expand Down
20 changes: 20 additions & 0 deletions benchmark/test_cswin.py
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Expand Up @@ -3,6 +3,10 @@
from flowvision.models.cswin import cswin_tiny_224


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_cswin_tiny_224_batch_size1(
benchmark, net=cswin_tiny_224, input_shape=[1, 3, 224, 224]
Expand All @@ -11,6 +15,10 @@ def test_cswin_tiny_224_batch_size1(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_cswin_tiny_224_batch_size2(
benchmark, net=cswin_tiny_224, input_shape=[2, 3, 224, 224]
Expand All @@ -19,6 +27,10 @@ def test_cswin_tiny_224_batch_size2(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_cswin_tiny_224_batch_size4(
benchmark, net=cswin_tiny_224, input_shape=[4, 3, 224, 224]
Expand All @@ -27,6 +39,10 @@ def test_cswin_tiny_224_batch_size4(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_cswin_tiny_224_batch_size8(
benchmark, net=cswin_tiny_224, input_shape=[8, 3, 224, 224]
Expand All @@ -35,6 +51,10 @@ def test_cswin_tiny_224_batch_size8(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_cswin_tiny_224_batch_size16(
benchmark, net=cswin_tiny_224, input_shape=[16, 3, 224, 224]
Expand Down
4 changes: 4 additions & 0 deletions benchmark/test_densenet.py
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Expand Up @@ -3,6 +3,10 @@
from flowvision.models.densenet import densenet121


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_densenet121_batch_size1(
benchmark, net=densenet121, input_shape=[1, 3, 224, 224]
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20 changes: 20 additions & 0 deletions benchmark/test_ghostnet.py
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Expand Up @@ -3,30 +3,50 @@
from flowvision.models.ghostnet import ghostnet


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_ghostnet_batch_size1(benchmark, net=ghostnet, input_shape=[1, 3, 224, 224]):
model, x, optimizer = fetch_args(net, input_shape)
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_ghostnet_batch_size2(benchmark, net=ghostnet, input_shape=[2, 3, 224, 224]):
model, x, optimizer = fetch_args(net, input_shape)
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_ghostnet_batch_size4(benchmark, net=ghostnet, input_shape=[4, 3, 224, 224]):
model, x, optimizer = fetch_args(net, input_shape)
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_ghostnet_batch_size8(benchmark, net=ghostnet, input_shape=[8, 3, 224, 224]):
model, x, optimizer = fetch_args(net, input_shape)
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_ghostnet_batch_size16(benchmark, net=ghostnet, input_shape=[16, 3, 224, 224]):
model, x, optimizer = fetch_args(net, input_shape)
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20 changes: 20 additions & 0 deletions benchmark/test_mlp_mixer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,10 @@
from flowvision.models.mlp_mixer import mlp_mixer_b16_224


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_mlp_mixer_b16_224_batch_size1(
benchmark, net=mlp_mixer_b16_224, input_shape=[1, 3, 224, 224]
Expand All @@ -11,6 +15,10 @@ def test_mlp_mixer_b16_224_batch_size1(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_mlp_mixer_b16_224_batch_size2(
benchmark, net=mlp_mixer_b16_224, input_shape=[2, 3, 224, 224]
Expand All @@ -19,6 +27,10 @@ def test_mlp_mixer_b16_224_batch_size2(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_mlp_mixer_b16_224_batch_size4(
benchmark, net=mlp_mixer_b16_224, input_shape=[4, 3, 224, 224]
Expand All @@ -27,6 +39,10 @@ def test_mlp_mixer_b16_224_batch_size4(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_mlp_mixer_b16_224_batch_size8(
benchmark, net=mlp_mixer_b16_224, input_shape=[8, 3, 224, 224]
Expand All @@ -35,6 +51,10 @@ def test_mlp_mixer_b16_224_batch_size8(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_mlp_mixer_b16_224_batch_size16(
benchmark, net=mlp_mixer_b16_224, input_shape=[16, 3, 224, 224]
Expand Down
20 changes: 20 additions & 0 deletions benchmark/test_mnasnet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,10 @@
from flowvision.models.mnasnet import mnasnet0_5


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_mnasnet0_5_batch_size1(
benchmark, net=mnasnet0_5, input_shape=[1, 3, 224, 224]
Expand All @@ -11,6 +15,10 @@ def test_mnasnet0_5_batch_size1(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_mnasnet0_5_batch_size2(
benchmark, net=mnasnet0_5, input_shape=[2, 3, 224, 224]
Expand All @@ -19,6 +27,10 @@ def test_mnasnet0_5_batch_size2(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_mnasnet0_5_batch_size4(
benchmark, net=mnasnet0_5, input_shape=[4, 3, 224, 224]
Expand All @@ -27,6 +39,10 @@ def test_mnasnet0_5_batch_size4(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_mnasnet0_5_batch_size8(
benchmark, net=mnasnet0_5, input_shape=[8, 3, 224, 224]
Expand All @@ -35,6 +51,10 @@ def test_mnasnet0_5_batch_size8(
benchmark(run, model, x, optimizer)


@unittest.skipUnless(
os.getenv("ONEFLOW_BENCHMARK_ALL") == "1",
"set ONEFLOW_BENCHMARK_ALL=1 to run this test",
)
@oneflow_benchmark.ci_settings(compare={"median": "5%"})
def test_mnasnet0_5_batch_size16(
benchmark, net=mnasnet0_5, input_shape=[16, 3, 224, 224]
Expand Down
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