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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 | |
| parent | c98d3cfd8b3a3d0b505f3b57a5843b442c32fc59 (diff) | |
| download | candle-1f58bdbb1d2128ab2bef37621e218272de7ba4fe.tar.gz candle-1f58bdbb1d2128ab2bef37621e218272de7ba4fe.tar.bz2 candle-1f58bdbb1d2128ab2bef37621e218272de7ba4fe.zip | |
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| -rw-r--r-- | README.md | 2 | ||||
| -rw-r--r-- | candle-book/src/guide/installation.md | 4 |
2 files changed, 3 insertions, 3 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: diff --git a/candle-book/src/guide/installation.md b/candle-book/src/guide/installation.md index ac5d6d3f..394cef35 100644 --- a/candle-book/src/guide/installation.md +++ b/candle-book/src/guide/installation.md @@ -3,7 +3,7 @@ **With Cuda support**: 1. First, make sure that Cuda is correctly installed. -- `nvcc --version` should print your information about your Cuda compiler driver. +- `nvcc --version` should print information about your Cuda compiler driver. - `nvidia-smi --query-gpu=compute_cap --format=csv` should print your GPUs compute capability, e.g. something like: @@ -14,7 +14,7 @@ compute_cap If any of the above commands errors out, please make sure to update your Cuda version. -2. Create a new app and add [`candle-core`](https://github.com/huggingface/candle/tree/main/candle-core) with Cuda support +2. Create a new app and add [`candle-core`](https://github.com/huggingface/candle/tree/main/candle-core) with Cuda support. Start by creating a new cargo: |