improve smoke test (#7550)

test/smoke_test.py

 """Run smoke tests"""
 
-import os
 import sys
 from pathlib import Path
 
 import torch
-import torch.nn as nn
 import torchvision
-from torchvision.io import read_image
+from torchvision.io import decode_jpeg, read_file, read_image
 from torchvision.models import resnet50, ResNet50_Weights
 
 SCRIPT_DIR = Path(__file__).parent
@@ -22,13 +20,20 @@ def smoke_test_torchvision() -> None:
 
 def smoke_test_torchvision_read_decode() -> None:
     img_jpg = read_image(str(SCRIPT_DIR / "assets" / "encode_jpeg" / "grace_hopper_517x606.jpg"))
-    if img_jpg.ndim != 3 or img_jpg.numel() < 100:
+    if img_jpg.shape != (3, 606, 517):
         raise RuntimeError(f"Unexpected shape of img_jpg: {img_jpg.shape}")
     img_png = read_image(str(SCRIPT_DIR / "assets" / "interlaced_png" / "wizard_low.png"))
-    if img_png.ndim != 3 or img_png.numel() < 100:
+    if img_png.shape != (4, 471, 354):
         raise RuntimeError(f"Unexpected shape of img_png: {img_png.shape}")
 
 
+def smoke_test_torchvision_decode_jpeg_cuda():
+    img_jpg_data = read_file(str(SCRIPT_DIR / "assets" / "encode_jpeg" / "grace_hopper_517x606.jpg"))
+    img_jpg = decode_jpeg(img_jpg_data, device="cuda")
+    if img_jpg.shape != (3, 606, 517):
+        raise RuntimeError(f"Unexpected shape of img_jpg: {img_jpg.shape}")
+
+
 def smoke_test_compile() -> None:
     try:
         model = resnet50().cuda()
@@ -77,6 +82,7 @@ def main() -> None:
     smoke_test_torchvision_read_decode()
     smoke_test_torchvision_resnet50_classify()
     if torch.cuda.is_available():
+        smoke_test_torchvision_decode_jpeg_cuda()
         smoke_test_torchvision_resnet50_classify("cuda")
         smoke_test_compile()