Pytorch Environment Settings - Apple Silicon Mac

Pytorch OT & Tensor Manipulation

Date	@2024년 6월 25일
Assign	yoonseol choi
Status	Done

1. OT

2. 파이토치 소개 & 환경 설정

3. 텐서 조작의 개념

4. 텐서 조작 - (1), (2)

1. OT

2. 파이토치 소개 & 환경 설정

3. 텐서 조작의 개념

4. 텐서 조작 - (1), (2)

💡

[Insight]

• 강의소개서를 통해 내가 얻어 갈 수 있는 포인트들 확인

• 딥러닝 프레임워크 이해 및 환경 설정
  • Apple Silicon Mac에 맞는 환경 구축

• Numpy 이해로 텐서 조작은 어려움 없이 진도 뺌 👍🏻

• Trouble Shooting
  1. Mac pytorch 환경 세팅

     Start Locally

     https://pytorch.org/get-started/locally/#macos-version

     

  2. Apple Silicon Chip GPU

     MPS backend — PyTorch 2.3 documentation

     mps device enables high-performance training on GPU for MacOS devices with Metal programming framework. It introduces a new device to map Machine Learning computational graphs and primitives on highly efficient Metal Performance Shaders Graph framework and tuned kernels provided by Metal Performance Shaders framework respectively.

     https://pytorch.org/docs/stable/notes/mps.html

     # Check that MPS is available
     if not torch.backends.mps.is_available():
         if not torch.backends.mps.is_built():
             print("MPS not available because the current PyTorch install was not "
                   "built with MPS enabled.")
         else:
             print("MPS not available because the current MacOS version is not 12.3+ "
                   "and/or you do not have an MPS-enabled device on this machine.")
     
     else:
         mps_device = torch.device("mps")

• 피드백
  • 애플실리콘 전용 Array Framework
    • MLX : https://github.com/ml-explore/mlx
    • MLX로 AI 모델 만드는 블로그 : https://devocean.sk.com/blog/techBoardDetail.do?ID=165572

  MLX 쓰는게 numpy나 pytorch로 짜는것보다 더 빠릅니다. 근데 API가 거의 비슷해서 배우는데 어렵지 않습니다 :)