Benchmark DALI decoding for pytorch and tensorflow
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python, pytorch, tensorflow
- Domain
- performance
Research direction
No repository file or test is named. Start with NVIDIA DALI's AudioDecoder and compare single-threaded ETL timing against TensorFlow I/O's audio/decode_wav and torchaudio; done means a reproducible benchmark result addressing whether DALI improves throughput.
Written by the indexing model from the issue text.
Description
I totally missed that DALI added audio decoding ops. As far as I can see, the ops seems to be based on sndfile and do not support GPU decoding. I wonder if this would still improve single threaded ETL speed on pytorch or tensorflow.
pinging DALI devs @mzient @szalpal as they might have benchmarked the op against tfio or torchaudio which are also sndfile based.
- Dominant language
- Python
- Stars
- 152
- Forks
- 11
- PR merge metrics
- No merged PRs in 30d
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