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Add smoke test Using a simple RN50 with torch.compile #7359

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merged 5 commits into from
Mar 1, 2023
Merged

Add smoke test Using a simple RN50 with torch.compile #7359

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ee468d6
Add smoke test Using a simple RN50 with torch.compile
atalman Feb 27, 2023
338dda9
Apply cuda fix
atalman Mar 1, 2023
ff61cd0
torch.compile output
atalman Mar 1, 2023
db6fbf0
Make sure we have result of new test
atalman Mar 1, 2023
87424ab
Fix smoke test
atalman Mar 1, 2023
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11 changes: 11 additions & 0 deletions test/smoke_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@
from pathlib import Path

import torch
import torch.nn as nn
import torchvision
from torchvision.io import read_image
from torchvision.models import resnet50, ResNet50_Weights
Expand All @@ -26,6 +27,12 @@ def smoke_test_torchvision_read_decode() -> None:
if img_png.ndim != 3 or img_png.numel() < 100:
raise RuntimeError(f"Unexpected shape of img_png: {img_png.shape}")

def smoke_test_compile() -> None:
model = resnet50().cuda()
model = torch.compile(model)
x = torch.randn(1, 3, 224, 224, device="cuda")
out = model(x)
print(f"torch.compile model output: {out.shape}")

def smoke_test_torchvision_resnet50_classify(device: str = "cpu") -> None:
img = read_image(str(SCRIPT_DIR / ".." / "gallery" / "assets" / "dog2.jpg")).to(device)
Expand Down Expand Up @@ -54,14 +61,18 @@ def smoke_test_torchvision_resnet50_classify(device: str = "cpu") -> None:

def main() -> None:
print(f"torchvision: {torchvision.__version__}")
print(f"torch.cuda.is_available: {torch.cuda.is_available()}")
smoke_test_torchvision()
smoke_test_torchvision_read_decode()
smoke_test_torchvision_resnet50_classify()
if torch.cuda.is_available():
smoke_test_torchvision_resnet50_classify("cuda")
smoke_test_compile()

if torch.backends.mps.is_available():
smoke_test_torchvision_resnet50_classify("mps")



if __name__ == "__main__":
main()