Add libtorchaudio cpp example #1349
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cpuhrsch
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Mar 3, 2021
vincentqb
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Mar 3, 2021
examples/libtorchaudio/README.md
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| To try this example, simply run `./run.sh`. This script will | ||
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| 1. Cretae an audio preprocessing pipeline with TorchScript and dump it to the file. |
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nit :)
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| 1. Cretae an audio preprocessing pipeline with TorchScript and dump it to the file. | |
| 1. Create an audio preprocessing pipeline with TorchScript and dump it to a file. |
vincentqb
reviewed
Mar 4, 2021
| @@ -0,0 +1,24 @@ | |||
| #!/usr/bin/env bash | |||
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If the goal is to show people how to make one themselves (educational), I'd recommend echoing the steps in the README as comments within the script to make it easier to follow along.
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thanks for the suggestion. let me follow on that one with another PR.
mthrok
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Dec 13, 2022
* Update build.sh * Update audio tutorial for release pytorch 1.8 / torchaudio 0.8 (pytorch#1379) * [wip] replace audio tutorial * Update * Update * Update * fixup * Update requirements.txt * update * Update Co-authored-by: Brian Johnson <[email protected]> * [1.8 release] Switch to the new datasets in torchtext 0.9.0 release - text classification tutorial (pytorch#1352) * switch to the new dataset API * checkpoint * checkpoint * checkpoint * update docs * checkpoint * switch to legacy vocab * update to follow the master API * checkpoint * checkpoint * address reviewer's comments Co-authored-by: Guanheng Zhang <[email protected]> Co-authored-by: Brian Johnson <[email protected]> * [1.8 release] Switch to LM dataset in torchtext 0.9.0 release (pytorch#1349) * switch to raw text dataset in torchtext 0.9.0 release * follow the new API in torchtext master Co-authored-by: Guanheng Zhang <[email protected]> Co-authored-by: Brian Johnson <[email protected]> * [WIP][FX] CPU Performance Profiling with FX (pytorch#1319) Co-authored-by: Brian Johnson <[email protected]> * [FX] Added fuser tutorial (pytorch#1356) * Added fuser tutorial * updated index.rst * fixed conclusion * responded to some comments * responded to comments * respond Co-authored-by: Brian Johnson <[email protected]> * Update numeric_suite_tutorial.py * Tutorial combining DDP with Pipeline Parallelism to Train Transformer models (pytorch#1347) * Tutorial combining DDP with Pipeline Parallelism to Train Transformer models. Summary: Tutorial which places a pipe on GPUs 0 and 1 and another Pipe on GPUs 2 and 3. Both pipe replicas are replicated via DDP. One process drives GPUs 0 and 1 and another drives GPUs 2 and 3. * Polish out some of the docs. * Add thumbnail and address some comments. Co-authored-by: pritam <[email protected]> * More updates to numeric_suite * Even more updates * Update numeric_suite_tutorial.py Hopefully that's the last one * Update numeric_suite_tutorial.py Last one * Update build.sh Co-authored-by: moto <[email protected]> Co-authored-by: Guanheng George Zhang <[email protected]> Co-authored-by: Guanheng Zhang <[email protected]> Co-authored-by: James Reed <[email protected]> Co-authored-by: Horace He <[email protected]> Co-authored-by: Pritam Damania <[email protected]> Co-authored-by: pritam <[email protected]> Co-authored-by: Nikita Shulga <[email protected]>
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This PR adds new example that demonstrates how to use
libtorchaudioin C++ application alongside withlibtorch.TODO