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| author | Patrick von Platen <patrick.v.platen@gmail.com> | 2023-08-23 13:33:45 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-08-23 13:33:45 +0200 |
| commit | 1f58bdbb1d2128ab2bef37621e218272de7ba4fe (patch) | |
| tree | a0358d40043f0384273c9b75403adcc6b168486b /README.md | |
| parent | c98d3cfd8b3a3d0b505f3b57a5843b442c32fc59 (diff) | |
| download | candle-1f58bdbb1d2128ab2bef37621e218272de7ba4fe.tar.gz candle-1f58bdbb1d2128ab2bef37621e218272de7ba4fe.tar.bz2 candle-1f58bdbb1d2128ab2bef37621e218272de7ba4fe.zip | |
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Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -31,7 +31,7 @@ fn main() -> Result<(), Box<dyn std::error::Error>> { } ``` -`cargo run` should display a tensor of shape `Tensor[[2, 4], f32]` +`cargo run` should display a tensor of shape `Tensor[[2, 4], f32]`. Having installed `candle` with Cuda support, simply define the `device` to be on GPU: |