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NVIDIA/framework-reproducibility

NVIDIA tool providing determinism patches and variance-reduction utilities for achieving bit-accurate reproducibility in PyTorch and TensorFlow frameworks.

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This repository provides documentation, status tracking, patches, and utilities for achieving run-to-run reproducibility in deep learning frameworks, with a focus on GPU determinism. It includes a Seeder tool designed to reduce variance in training runs. The project maintains compatibility with both PyTorch and TensorFlow ecosystems.

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