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ese_vovnet39b_int.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e54c608973ec2515497ebac87955f35900334235c6c235b2db73e0d154cbe8df
-size 102032170
+oid sha256:e056581c127708ee9751d6402fe7baa9c9fced577a240054e1c982d8a1df6856
+size 102032283

eval_onnx.py

@@ -144,7 +144,7 @@ def val_imagenet():
   val_loader = tqdm(val_loader, file=sys.stdout)
   with torch.no_grad():
     for batch_idx, (images, targets) in enumerate(val_loader):
-      inputs, targets = images.numpy(), targets
+      inputs, targets = images.permute([0,2,3,1]).numpy(), targets
       ort_inputs = {ort_session.get_inputs()[0].name: inputs}
 
       outputs = ort_session.run(None, ort_inputs)