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⚡️ Speed up method RandomThinPlateSpline.generate_parameters by 21% #33

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⚡️ Speed up method RandomThinPlateSpline.generate_parameters by 21% #33

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11 changes: 6 additions & 5 deletions kornia/augmentation/_2d/geometric/thin_plate_spline.py
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Original file line number Diff line number Diff line change
Expand Up @@ -70,6 +70,11 @@ def __init__(
"padding_mode": SamplePadding.get(padding_mode),
}
self.dist = torch.distributions.Uniform(-scale, scale)
# Pre-create the source control points template
self._src_template = torch.tensor(
[[[-1.0, -1.0], [-1.0, 1.0], [1.0, -1.0], [1.0, 1.0], [0.0, 0.0]]],
dtype=torch.float32,
)

def generate_parameters(self, shape: Tuple[int, ...]) -> Dict[str, torch.Tensor]:
B, _, _, _ = shape
Expand All @@ -78,11 +83,7 @@ def generate_parameters(self, shape: Tuple[int, ...]) -> Dict[str, torch.Tensor]
dtype = self.dtype

# 5 TPS control points in normalized coordinates
src = torch.tensor(
[[[-1.0, -1.0], [-1.0, 1.0], [1.0, -1.0], [1.0, 1.0], [0.0, 0.0]]],
device=device,
dtype=dtype,
).expand(B, 5, 2)
src = self._src_template.to(device=device, dtype=dtype).expand(B, 5, 2)

if self.same_on_batch:
noise = self.dist.rsample((1, 5, 2)).to(device=device, dtype=dtype)
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