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Adding a relevant line to explain the torch shape output in curve2coeff… #237

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Adding a relevant line to explain the torch shape output in curve2coeff… #237

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1 change: 1 addition & 0 deletions kan/spline.py
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Expand Up @@ -130,6 +130,7 @@ def curve2coef(x_eval, y_eval, grid, k, device="cpu"):
>>> x_eval = torch.normal(0,1,size=(num_spline, num_sample))
>>> y_eval = torch.normal(0,1,size=(num_spline, num_sample))
>>> grids = torch.einsum('i,j->ij', torch.ones(num_spline,), torch.linspace(-1,1,steps=num_grid_interval+1))
>>> curve2coef(x_eval, y_eval, grid, k, device="cpu").shape
torch.Size([5, 13])
'''
# x_eval: (size, batch); y_eval: (size, batch); grid: (size, grid); k: scalar
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