Update eval_onnx.py

eval_onnx.py

@@ -141,6 +141,7 @@ def val_imagenet():
   val_loader = tqdm(val_loader, file=sys.stdout)
   with torch.no_grad():
     for batch_idx, (images, targets) in enumerate(val_loader):
+      images = torch.permute(images, (0, 2, 3, 1))
       inputs, targets = images.numpy(), targets
       ort_inputs = {ort_session.get_inputs()[0].name: inputs}
 
@@ -158,4 +159,4 @@ def val_imagenet():
   return top1.avg, top5.avg
 
 if __name__ == '__main__':
-  val_imagenet()
+  val_imagenet()