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docs: Update compiling_torch_model.md

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Jeremy Bradley-Silverio Donato
2022-01-06 17:50:35 +01:00
committed by Benoit Chevallier
parent be090ddb27
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docs/user/howto/compiling_torch_model.md
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@@ -1,6 +1,6 @@
# Compiling a Torch Model
**Concrete Numpy** allows to compile a torch model to its FHE counterpart.
**Concrete Numpy** allows you to compile a torch model to its FHE counterpart.
A simple command can compile a torch model to its FHE counterpart. This process executes most of the concepts described in the documentation on [how to use quantization](use_quantization.md) and triggers the compilation to be able to run the model over homomorphically encrypted data.
@@ -47,7 +47,7 @@ quantized_numpy_module = compile_torch_model(
You can then call `quantized_numpy_module.forward_fhe.run()` to have the FHE inference.
Now your model is ready to infer in FHE settings !
Now your model is ready to infer in FHE settings.
<!--pytest-codeblocks:cont-->
```python