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Unverified Commit 20a41549 authored by Yusuke Mori's avatar Yusuke Mori Committed by GitHub
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Correct notation fluctuation in README.md (#1029)

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...@@ -10,8 +10,8 @@ the audio domain. By supporting PyTorch, torchaudio follows the same philosophy ...@@ -10,8 +10,8 @@ the audio domain. By supporting PyTorch, torchaudio follows the same philosophy
of providing strong GPU acceleration, having a focus on trainable features through of providing strong GPU acceleration, having a focus on trainable features through
the autograd system, and having consistent style (tensor names and dimension names). the autograd system, and having consistent style (tensor names and dimension names).
Therefore, it is primarily a machine learning library and not a general signal Therefore, it is primarily a machine learning library and not a general signal
processing library. The benefits of Pytorch is be seen in torchaudio through processing library. The benefits of PyTorch is be seen in torchaudio through
having all the computations be through Pytorch operations which makes it easy having all the computations be through PyTorch operations which makes it easy
to use and feel like a natural extension. to use and feel like a natural extension.
- [Support audio I/O (Load files, Save files)](http://pytorch.org/audio/) - [Support audio I/O (Load files, Save files)](http://pytorch.org/audio/)
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