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Commit 7b12a980 authored by Boris Bonev's avatar Boris Bonev
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minor update to readme

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README.md
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......@@ -155,7 +155,7 @@ batch_size = 32
signal = torch.randn(batch_size, nlat, nlon)
# transform data on an equiangular grid
sht = th.RealSHT(nlat, nlon, grid="equiangular").to(device).float()
sht = th.RealSHT(nlat, nlon, grid="equiangular").to(device)
coeffs = sht(signal)
```
......
notebooks/getting_started.ipynb
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