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pytorch/benchmarks
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Weizhuo Zhang faabda4fc9 [Inductor] Skip model_fail_to_load and eager_fail_to_run models in inductor benchmarks test (#127210) 
Aligned with test-infra repo, we skipped `model_fail_to_load` and `eager_fail_to_run` models
Refer code logic:
d3b79778f8/torchci/rockset/inductor/__sql/compilers_benchmark_performance.sql (L57-L58)
```SQL
  WHERE
    filename LIKE '%_accuracy'
    AND filename LIKE CONCAT(
      '%_', : dtypes, '_', : mode, '_', : device,
      '_%'
    )
    AND _event_time >= PARSE_DATETIME_ISO8601(:startTime)
    AND _event_time < PARSE_DATETIME_ISO8601(:stopTime)
    AND (workflow_id = :workflowId OR :workflowId = 0)
    AND accuracy != 'model_fail_to_load'
    AND accuracy != 'eager_fail_to_run'
),
```

Comp Item | Compiler | suite | Before | After fix
-- | -- | -- | -- | --
Pass Rate | Inductor | torchbench | 96%, 80/83 | 100%, 80/80

Pull Request resolved: https://github.com/pytorch/pytorch/pull/127210
Approved by: https://github.com/jansel
2024-06-05 14:23:09 +00:00
..
distributed Revert "Retire torch.distributed.pipeline (#127354)" 2024-06-04 18:19:31 +00:00
dynamo [Inductor] Skip model_fail_to_load and eager_fail_to_run models in inductor benchmarks test (#127210) 2024-06-05 14:23:09 +00:00
fastrnns [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
framework_overhead_benchmark [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
functional_autograd_benchmark [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
fuser [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
gpt_fast [GPT-fast benchmark] Merge GPT-fast and micro benchmark output as one CSV file (#127586) 2024-05-31 18:50:49 +00:00
inference [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
instruction_counts [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
nested Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
operator_benchmark [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
overrides_benchmark [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
profiler_benchmark [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
record_function_benchmark Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
serialization [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
sparse [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
static_runtime Fix layer norm in static runtime when input is non-contiguous (#124789) 2024-04-24 19:49:36 +00:00
tensorexpr [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
transformer [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
compare-fastrnn-results.py Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
compare.sh
README.md Add more child links to benchmark readme (#104627) 2023-07-06 12:11:00 +00:00
upload_scribe.py Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00

README.md

PyTorch Benchmarks

This folder contains scripts that produce reproducible timings of various PyTorch features.

It also provides mechanisms to compare PyTorch with other frameworks.

Setup environment

Make sure you're on a machine with CUDA, torchvision, and pytorch installed. Install in the following order:

# Install torchvision. It comes with the pytorch stable release binary
conda install pytorch torchvision -c pytorch

# Install the latest pytorch master from source.
# It should supersede the installation from the release binary.
cd $PYTORCH_HOME
python setup.py build develop

# Check the pytorch installation version
python -c "import torch; print(torch.__version__)"

Benchmark List

Please refer to each subfolder to discover each benchmark suite. Links are provided where descriptions exist: