fix GPU efficientnet example

examples/efficientnet.py

@@ -3,7 +3,6 @@
 # a rough copy of
 # https://github.com/lukemelas/EfficientNet-PyTorch/blob/master/efficientnet_pytorch/model.py
 import os
-GPU = os.getenv("GPU", None) is not None
 import sys
 import io
 import time
@@ -37,10 +36,7 @@ def infer(model, img):
   img /= np.array([0.229, 0.224, 0.225]).reshape((1,-1,1,1))
 
   # run the net
-  if GPU:
-    out = model.forward(Tensor(img).gpu()).cpu()
-  else:
-    out = model.forward(Tensor(img))
+  out = model.forward(Tensor(img)).cpu()
 
   # if you want to look at the outputs
   """
@@ -54,8 +50,6 @@ if __name__ == "__main__":
   # instantiate my net
   model = EfficientNet(int(os.getenv("NUM", "0")))
   model.load_weights_from_torch()
-  if GPU:
-    [x.gpu_() for x in get_parameters(model)]
 
   # category labels
   import ast