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Fix: modify use of dlpack to conform with CuPy new standards #783

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mrava87 merged 1 commit into from
Jul 31, 2026
+4 −4
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Fix: modify use of dlpack to conform with CuPy new standards #783

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8 changes: 4 additions & 4 deletions pylops/_torchoperator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@ def forward(ctx, x, forw, adj, device, devicetorch):
x = x.cpu().detach().numpy()
else:
# pass x to cupy using DLPack
x = cp.fromDlpack(to_dlpack(x))
x = cp.from_dlpack(to_dlpack(x))

# apply forward operator
y = ctx.forw(x)
Expand All @@ -46,7 +46,7 @@ def forward(ctx, x, forw, adj, device, devicetorch):
y = torch.from_numpy(y).to(ctx.devicetorch)
else:
# move y to torch and device
y = from_dlpack(y.toDlpack())
y = from_dlpack(y)
return y

@staticmethod
Expand All @@ -56,7 +56,7 @@ def backward(ctx, y):
y = y.cpu().detach().numpy()
else:
# pass x to cupy using DLPack
y = cp.fromDlpack(to_dlpack(y))
y = cp.from_dlpack(to_dlpack(y))

# apply adjoint operator
x = ctx.adj(y)
Expand All @@ -65,5 +65,5 @@ def backward(ctx, y):
if ctx.device == "cpu":
x = torch.from_numpy(x).to(ctx.devicetorch)
else:
x = from_dlpack(x.toDlpack())
x = from_dlpack(x)
return x, None, None, None, None, None
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