Fix format error on torch._dynamo.config.inline_inbuilt_nn_modules (#1776)

Author: zeshengzong

_posts/2024-10-17-pytorch2-5.md

@@ -81,7 +81,7 @@ The cuDNN "Fused Flash Attention" backend  was landed for *torch.nn.functional.s
 
 ### [Beta] *torch.compile* regional compilation without recompilations
 
-Regional compilation without recompilations, via* torch._dynamo.config.inline_inbuilt_nn_modules* which default to True in 2.5+. This option allows users to compile a repeated *nn.Module* (e.g. a transformer layer in LLM) without recompilations. Compared to compiling the full model, this option can result in smaller compilation latencies with 1%-5% performance degradation compared to full model compilation.
+Regional compilation without recompilations, via *torch._dynamo.config.inline_inbuilt_nn_modules* which default to True in 2.5+. This option allows users to compile a repeated *nn.Module* (e.g. a transformer layer in LLM) without recompilations. Compared to compiling the full model, this option can result in smaller compilation latencies with 1%-5% performance degradation compared to full model compilation.
 
 See the [tutorial](https://pytorch.org/tutorials/recipes/regional_compilation.html) for more information.
 
@@ -152,4 +152,4 @@ Intel GPUs support enhancement is now available for both Intel® Data Center GPU
 * The implementation of SYCL* kernels to enhance coverage and execution of Aten operators on Intel GPUs to boost performance in PyTorch eager mode. 
 * Enhanced Intel GPU backend of torch.compile to improve inference and training performance for a wide range of deep learning workloads.  
 
-These features are available through PyTorch preview and nightly binary PIP wheels. For more information regarding Intel GPU support, please refer to [documentation](https://pytorch.org/docs/main/notes/get_start_xpu.html).
+These features are available through PyTorch preview and nightly binary PIP wheels. For more information regarding Intel GPU support, please refer to [documentation](https://pytorch.org/docs/main/notes/get_start_xpu.html).