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README.md

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Optimizing PyTorch training by wrapping torch.utils.data.Dataset with tensordict.TensorDict.MemoryMappedTensor mapped, pinned,
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and loaded onto an Nvidia GPU and inputting TensorDict(Dataset) into torch.utils.data.DataLoader--to boost model training speed.
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````
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python==3.9.13
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torch==2.3.1
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tensordict==0.5.0
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````
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To run the demo [NOTE: a mock dataset will be created in the current working directory]:
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To run the demo:
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````
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git clone https://github.com/OriYarden/pytorch_training_optimization_using_tensordict_memory_mapping
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cd pytorch_training_optimization_using_tensordict_memory_mapping
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