Repository: huggingface/transformers
Pull request: Fix documentation reference to pytorch max memory allocated

# What does this PR do?

The old link is returning 404, new one loads https://docs.pytorch.org/docs/stable/generated/torch.cuda.memory.max_memory_allocated.html even tho they changed the path to `torch.cuda.memory.max_memory_allocated` importing from `torch.cuda.max_memory_allocated` still works and does not show any deprecation warning.

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Changed files:
filename: docs/source/ar/llm_tutorial_optimization.md
patch: @@ -98,7 +98,7 @@ def bytes_to_giga_bytes(bytes):
   return bytes / 1024 / 1024 / 1024
 ```
 
-دعونا نستدعي [`torch.cuda.max_memory_allocated`](https://pytorch.org/docs/stable/generated/torch.cuda.max_memory_allocated.html) لقياس ذروة تخصيص ذاكرة وحدة معالجة الرسومات (GPU).
+دعونا نستدعي [`torch.cuda.memory.max_memory_allocated`](https://docs.pytorch.org/docs/stable/generated/torch.cuda.memory.max_memory_allocated.html) لقياس ذروة تخصيص ذاكرة وحدة معالجة الرسومات (GPU).
 
 ```python
 bytes_to_giga_bytes(torch.cuda.max_memory_allocated())

filename: docs/source/en/llm_tutorial_optimization.md
patch: @@ -111,7 +111,7 @@ def bytes_to_giga_bytes(bytes):
   return bytes / 1024 / 1024 / 1024
 ```
 
-Let's call [`torch.cuda.max_memory_allocated`](https://pytorch.org/docs/stable/generated/torch.cuda.max_memory_allocated.html) to measure the peak GPU memory allocation.
+Let's call [`torch.cuda.memory.max_memory_allocated`](https://docs.pytorch.org/docs/stable/generated/torch.cuda.memory.max_memory_allocated.html) to measure the peak GPU memory allocation.
 
 ```python
 bytes_to_giga_bytes(torch.cuda.max_memory_allocated())

filename: docs/source/ko/llm_tutorial_optimization.md
patch: @@ -106,7 +106,7 @@ def bytes_to_giga_bytes(bytes):
   return bytes / 1024 / 1024 / 1024
 ```
 
-[`torch.cuda.max_memory_allocated`](https://pytorch.org/docs/stable/generated/torch.cuda.max_memory_allocated.html)를 호출하여 최대 GPU 메모리 할당을 측정해 보겠습니다.
+[`torch.cuda.memory.max_memory_allocated`](https://docs.pytorch.org/docs/stable/generated/torch.cuda.memory.max_memory_allocated.html)를 호출하여 최대 GPU 메모리 할당을 측정해 보겠습니다.
 
 ```python
 bytes_to_giga_bytes(torch.cuda.max_memory_allocated())