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docs(frontend): rewordings

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yuxizama
2024-06-25 17:39:42 +02:00
committed by Quentin Bourgerie
parent 9cc338b6a5
commit 3f47a0490a
2 changed files with 3 additions and 3 deletions
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4
docs/compilation/composing_functions_with_modules.md
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@@ -6,7 +6,7 @@ Deploying a server that contains many compatible functions is important for some
These modules support the composition of different functions, meaning that the encrypted result of one function can be used as the input for another function without needing to decrypt it first. Additionally, a module is [deployed in a single artifact](../guides/deploy.md#deployment-of-modules), making it as simple to use as a single-function project.
## Single inputs/outputs
## Single inputs / outputs
The following example demonstrates how to create an FHE module:
```python
@@ -49,7 +49,7 @@ x_dec = CounterFhe.inc.decrypt(x_enc)
assert x_dec == 15
```
## Multi inputs/ outputs
## Multi inputs / outputs
Composition is not limited to single input / single output. Here is an example that computes the 10 first elements of the Fibonacci sequence in FHE:

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docs/execution-analysis/gpu_acceleration.md
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@@ -15,7 +15,7 @@ To use GPU acceleration, install the GPU/CUDA wheel from our [Zama public PyPI r
After installing the GPU/CUDA wheel, you must [configure] ((../guides/configure.md)) the FHE program compilation to enable GPU offloading using the `use_gpu` option.
{% hint style="info" %}
Our GPU wheels are built with CUDA 11.8 and are compatible with higher versions of CUDA.
Our GPU wheels are built with CUDA 11.8 and should be compatible with higher versions of CUDA.
{% endhint %}
## GPU execution configuration