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Author:
Andreas @blackhc Kirsch
License:
MIT
Summary:
Write algorithms in PyTorch that adapt to the available (CUDA) memory
Latest version:
1.1.0
Required dependencies:
psutil
|
torch
Optional dependencies:
check-manifest
|
codecov
|
coverage
|
pytest
|
pytest-benchmark
|
pytest-cov
|
pytest-forked
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