PyTorch on ARC

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Intro to Torch

Checkpointing

Installing PyTorch

Conda

You will need a working local conda install in your home directory first. If you do not have it yet, plaese follow these instructions to have it isntalled.

PyTorch

Test script

torch-gpu-test.py:

#! /usr/bin/env python 
# -------------------------------------------------------
import torch
# -------------------------------------------------------
print("Defining torch tensors:")
x = torch.Tensor(5, 3)
print(x)
y = torch.rand(5, 3)
print(y)

# -------------------------------------------------------
# let us run the following only if CUDA is available
if torch.cuda.is_available():
    print("CUDA is available.")
    x = x.cuda()
    y = y.cuda()
    print(x + y)
else:
    print("CUDA is NOT available.")

# -------------------------------------------------------

Requesting GPU Resources for PyTorch Jobs