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[1/N] Refine beginner tutorial by accelerator api #3167

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[1/N] Refine beginner tutorial by accelerator api #3167

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dde7670
refine build model tutorial by accelerator api
guangyey Nov 25, 2024
617ff9f
Update beginner_source/basics/buildmodel_tutorial.py
guangyey Nov 26, 2024
e57d5f2
Update beginner_source/basics/buildmodel_tutorial.py
guangyey Nov 26, 2024
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15 changes: 4 additions & 11 deletions beginner_source/basics/buildmodel_tutorial.py
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Expand Up @@ -32,17 +32,10 @@
#############################################
# Get Device for Training
# -----------------------
# We want to be able to train our model on a hardware accelerator like the GPU or MPS,
# if available. Let's check to see if `torch.cuda <https://pytorch.org/docs/stable/notes/cuda.html>`_
# or `torch.backends.mps <https://pytorch.org/docs/stable/notes/mps.html>`_ are available, otherwise we use the CPU.

device = (
"cuda"
if torch.cuda.is_available()
else "mps"
if torch.backends.mps.is_available()
else "cpu"
)
# We want to be able to train our model on an `accelerator <https://pytorch.org/docs/stable/torch.html#accelerators>`__
# such as CUDA, MPS, MTIA, or XPU. If the current accelerator is available, we will use it. Otherwise, we use the CPU.

device = torch.accelerator.current_accelerator().type if torch.accelerator.is_available() else "cpu"
print(f"Using {device} device")

##############################################
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