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Single node GPU training example (#333) #352
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cookbook/case_studies/ml_training/mnist_classifier/pytorch_single_node_multi_gpu.py
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cookbook/case_studies/ml_training/mnist_classifier/pytorch_single_node_multi_gpu.py
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cookbook/case_studies/ml_training/mnist_classifier/pytorch_single_node_and_gpu.py
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cookbook/case_studies/ml_training/mnist_classifier/pytorch_single_node_multi_gpu.py
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cookbook/case_studies/ml_training/mnist_classifier/pytorch_single_node_multi_gpu.py
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cookbook/case_studies/ml_training/mnist_classifier/pytorch_single_node_multi_gpu.py
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…kumare3 Signed-off-by: Niels Bantilan <[email protected]>
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# Weights & Biases Report | ||
# ======================= | ||
# | ||
# You can refer to the complete ``wandb`` report `here <https://wandb.ai/niels-bantilan/mnist-single-node-multi-gpu/reports/Pytorch-Single-node-Multi-GPU-Report--Vmlldzo5Mjk4Nzk>`__. |
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Can we have the accuracy, test_loss,... graphs in this report? We can also have wandb table.
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sure, I can update that, tho it shouldn't block merging this PR
cookbook/case_studies/ml_training/mnist_classifier/pytorch_single_node_and_gpu.py
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Co-authored-by: Samhita Alla <[email protected]> Signed-off-by: Niels Bantilan <[email protected]>
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updated report @samhita-alla |
single_node.py
topytorch_single_node_and_gpu.py