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[Docs] Translate save_gpu_memory.md #803

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[Docs] Translate save_gpu_memory.md #803

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Update docs/en/examples/save_gpu_memory.md 
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
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xin-li-67 and zhouzaida authored Dec 8, 2022
commit 13116300d9bc83ee529cd41226b3ae4bb777993c
2 changes: 1 addition & 1 deletion docs/en/examples/save_gpu_memory.md
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# Save Memory on GPU

Memory capacity is critical in deep leanring training and inference, and it determines whether the model can run successfully. Common memory saving approaches include:
Memory capacity is critical in deep learning training and inference and determines whether the model can run successfully. Common memory saving approaches include:

- Gradient Accumulation

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