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create tensors on device

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This commit is contained in:
magehrig 2021-09-16 16:34:37 +02:00
parent 224320502d
commit e6e53c4e23
2 changed files with 5 additions and 5 deletions
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6
core/corr.py
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@ -34,9 +34,9 @@ class CorrBlock:
out_pyramid = [] out_pyramid = []
for i in range(self.num_levels): for i in range(self.num_levels):
corr = self.corr_pyramid[i] corr = self.corr_pyramid[i]
dx = torch.linspace(-r, r, 2*r+1) dx = torch.linspace(-r, r, 2*r+1, device=coords.device)
dy = torch.linspace(-r, r, 2*r+1) dy = torch.linspace(-r, r, 2*r+1, device=coords.device)
delta = torch.stack(torch.meshgrid(dy, dx), axis=-1).to(coords.device) delta = torch.stack(torch.meshgrid(dy, dx), axis=-1)
centroid_lvl = coords.reshape(batch*h1*w1, 1, 1, 2) / 2**i centroid_lvl = coords.reshape(batch*h1*w1, 1, 1, 2) / 2**i
delta_lvl = delta.view(1, 2*r+1, 2*r+1, 2) delta_lvl = delta.view(1, 2*r+1, 2*r+1, 2)

4
core/raft.py
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@ -63,8 +63,8 @@ class RAFT(nn.Module):
def initialize_flow(self, img): def initialize_flow(self, img):
""" Flow is represented as difference between two coordinate grids flow = coords1 - coords0""" """ Flow is represented as difference between two coordinate grids flow = coords1 - coords0"""
N, C, H, W = img.shape N, C, H, W = img.shape
coords0 = coords_grid(N, H//8, W//8).to(img.device) coords0 = coords_grid(N, H//8, W//8, device=img.device)
coords1 = coords_grid(N, H//8, W//8).to(img.device) coords1 = coords_grid(N, H//8, W//8, device=img.device)
# optical flow computed as difference: flow = coords1 - coords0 # optical flow computed as difference: flow = coords1 - coords0
return coords0, coords1 return coords0, coords1