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Use half precision to reduce memory usage. #74

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Use half precision to reduce memory usage. #74

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2c93c2b
Update eval_helper.py
kexul May 21, 2024
ac9ce27
Update main.py
kexul May 21, 2024
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5 changes: 4 additions & 1 deletion segmentation-refinement/segmentation_refinement/eval_helper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,11 +30,14 @@ def safe_forward(model, im, seg, inter_s8=None, inter_s4=None):
p_inter_s8 = torch.zeros(b, 1, newH, newW, device=im.device) - 1
p_inter_s8[:,:,0:ph,0:pw] = inter_s8
inter_s8 = p_inter_s8
inter_s8 = inter_s8.half()
if inter_s4 is not None:
p_inter_s4 = torch.zeros(b, 1, newH, newW, device=im.device) - 1
p_inter_s4[:,:,0:ph,0:pw] = inter_s4
inter_s4 = p_inter_s4

inter_s4 = inter_s4.half()
im = im.half()
seg = seg.half()
images = model(im, seg, inter_s8, inter_s4)
return_im = {}

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3 changes: 2 additions & 1 deletion segmentation-refinement/segmentation_refinement/main.py
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Expand Up @@ -35,7 +35,8 @@ def __init__(self, device='cpu', model_folder=None, download_and_check_model=Tru
new_dict[name] = v
self.model.load_state_dict(new_dict)
self.model.eval().to(device)

self.model = self.model.half()

self.im_transform = transforms.Compose([
transforms.ToTensor(),
transforms.Normalize(
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