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Unverified Commit ff81e2b1 authored by Ailing's avatar Ailing Committed by GitHub
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Add device to torch.tensor. (#1979)

parent 4d77d3fa
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torchvision/models/detection/_utils.py
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...@@ -220,10 +220,10 @@ class BoxCoder(object): ...@@ -220,10 +220,10 @@ class BoxCoder(object):
pred_w = torch.exp(dw) * widths[:, None] pred_w = torch.exp(dw) * widths[:, None]
pred_h = torch.exp(dh) * heights[:, None] pred_h = torch.exp(dh) * heights[:, None]
pred_boxes1 = pred_ctr_x - torch.tensor(0.5, dtype=pred_ctr_x.dtype) * pred_w pred_boxes1 = pred_ctr_x - torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
pred_boxes2 = pred_ctr_y - torch.tensor(0.5, dtype=pred_ctr_y.dtype) * pred_h pred_boxes2 = pred_ctr_y - torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
pred_boxes3 = pred_ctr_x + torch.tensor(0.5, dtype=pred_ctr_x.dtype) * pred_w pred_boxes3 = pred_ctr_x + torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
pred_boxes4 = pred_ctr_y + torch.tensor(0.5, dtype=pred_ctr_y.dtype) * pred_h pred_boxes4 = pred_ctr_y + torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
pred_boxes = torch.stack((pred_boxes1, pred_boxes2, pred_boxes3, pred_boxes4), dim=2).flatten(1) pred_boxes = torch.stack((pred_boxes1, pred_boxes2, pred_boxes3, pred_boxes4), dim=2).flatten(1)
return pred_boxes return pred_boxes
......
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