Remove unused tensor in fast_collate (#281)

* remove unused tens tensor in example/imagenet/main_amp.py

* remove unused tens tensor in deprecated examples and tests/L1

examples/deprecated_api/imagenet/main.py

@@ -80,7 +80,6 @@ def fast_collate(batch):
     tensor = torch.zeros( (len(imgs), 3, h, w), dtype=torch.uint8 )
     for i, img in enumerate(imgs):
         nump_array = np.asarray(img, dtype=np.uint8)
-        tens = torch.from_numpy(nump_array)
         if(nump_array.ndim < 3):
             nump_array = np.expand_dims(nump_array, axis=-1)
         nump_array = np.rollaxis(nump_array, 2)

examples/deprecated_api/imagenet/main_amp.py

@@ -79,7 +79,6 @@ def fast_collate(batch):
     tensor = torch.zeros( (len(imgs), 3, h, w), dtype=torch.uint8 )
     for i, img in enumerate(imgs):
         nump_array = np.asarray(img, dtype=np.uint8)
-        tens = torch.from_numpy(nump_array)
         if(nump_array.ndim < 3):
             nump_array = np.expand_dims(nump_array, axis=-1)
         nump_array = np.rollaxis(nump_array, 2)

examples/deprecated_api/imagenet/main_fp16_optimizer.py

@@ -83,7 +83,6 @@ def fast_collate(batch):
     tensor = torch.zeros( (len(imgs), 3, h, w), dtype=torch.uint8 )
     for i, img in enumerate(imgs):
         nump_array = np.asarray(img, dtype=np.uint8)
-        tens = torch.from_numpy(nump_array)
         if(nump_array.ndim < 3):
             nump_array = np.expand_dims(nump_array, axis=-1)
         nump_array = np.rollaxis(nump_array, 2)

examples/deprecated_api/imagenet/main_reducer.py

@@ -79,7 +79,6 @@ def fast_collate(batch):
     tensor = torch.zeros( (len(imgs), 3, h, w), dtype=torch.uint8 )
     for i, img in enumerate(imgs):
         nump_array = np.asarray(img, dtype=np.uint8)
-        tens = torch.from_numpy(nump_array)
         if(nump_array.ndim < 3):
             nump_array = np.expand_dims(nump_array, axis=-1)
         nump_array = np.rollaxis(nump_array, 2)

examples/imagenet/main_amp.py

@@ -82,7 +82,6 @@ def fast_collate(batch):
     tensor = torch.zeros( (len(imgs), 3, h, w), dtype=torch.uint8 )
     for i, img in enumerate(imgs):
         nump_array = np.asarray(img, dtype=np.uint8)
-        tens = torch.from_numpy(nump_array)
         if(nump_array.ndim < 3):
             nump_array = np.expand_dims(nump_array, axis=-1)
         nump_array = np.rollaxis(nump_array, 2)

tests/L1/common/main_amp.py

@@ -86,7 +86,6 @@ def fast_collate(batch):
     tensor = torch.zeros( (len(imgs), 3, h, w), dtype=torch.uint8 )
     for i, img in enumerate(imgs):
         nump_array = np.asarray(img, dtype=np.uint8)
-        tens = torch.from_numpy(nump_array)
         if(nump_array.ndim < 3):
             nump_array = np.expand_dims(nump_array, axis=-1)
         nump_array = np.rollaxis(nump_array, 2)