Add Micro-benchmark for iter_torch_batches #50230
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Signed-off-by: Srinath Krishnamachari <[email protected]>
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| import time | |||
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@bveeramani @raulchen what's the canonical place for us to harbor benchmarks? Ideally we'd want to capture this at go/data-perf
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Canonical place is release/nightly_tests/dataset/.
Btw, there's already a benchmark for iter_torch_batches
ray/release/release_data_tests.yaml
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| for i in range(iterations): | ||
| start_time = time.perf_counter() | ||
| if verbose: | ||
| logger.info(f"[Iteration {i+1}] Start") | ||
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| for _ in dataset.iter_torch_batches( | ||
| batch_size=batch_size, | ||
| collate_fn=collate_fn, | ||
| prefetch_batches=prefetch_batches, | ||
| local_shuffle_buffer_size=local_shuffle_buffer_size, | ||
| local_shuffle_seed=local_shuffle_seed, | ||
| ): | ||
| pass |
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Let's add a warm-up phase as well
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Why are these changes needed?
Related issue number
Checks
git commit -s) in this PR.scripts/format.shto lint the changes in this PR.method in Tune, I've added it in
doc/source/tune/api/under thecorresponding
.rstfile.