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gh/soulitzer/47/base
pytorch/benchmarks
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Mike Iovine 7e6312a5df [SR] Reverse iteration order in resetMemory (#71705) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/71705

This fixes a crash `resetMemory` caused by trying to access a `TensorImpl` via a borrowed `IValue` after it had already been destroyed. We need to clean up all borrows *before* we destroy the owning `IValue`, not after.
ghstack-source-id: 147688982

Test Plan:
New unit test covers this case

ICE w/ inline_cvr v0 [finishes successfully](https://www.internalfb.com/intern/unidash/dashboard/ads_infra_cost_estimation/a_metrics/?e[select_ESTIMATION_RUN_ID]=ICE_mikeiovine_16431103211c65), didn't see any nnpi errors

Reviewed By: ajyu

Differential Revision: D33725435

fbshipit-source-id: f8dd109382b5cf54df6f194f8dcb5c0812b174bb
(cherry picked from commit 31339d9d38)
2022-01-26 17:35:03 +00:00
..
cpp use irange for loops 2 (#66746) 2021-12-10 04:26:23 -08:00
distributed Remove .data from benchmarks and tensorboard (#65389) 2021-09-22 11:16:59 -07:00
fastrnns Remove .data from benchmarks and tensorboard (#65389) 2021-09-22 11:16:59 -07:00
framework_overhead_benchmark Remove py2 compatible future imports (#44735) 2020-09-16 12:55:57 -07:00
functional_autograd_benchmark Extend autograd functional benchmarking to run vectorized tasks (#67045) 2021-12-21 17:20:29 -08:00
fuser Benchmarks for various fusers (#67622) 2021-11-04 18:57:17 -07:00
instruction_counts Allow instruction counting to use shared memory as a staging ground. (And a couple other tweaks.) (#56711) 2021-05-12 20:37:41 -07:00
operator_benchmark [quant][embedding qat] Add benchmarks for QAT Embedding+EmbeddingBag (#66560) 2021-11-19 06:29:19 -08:00
overrides_benchmark Use classmethods for overrides (#64841) 2021-09-17 08:32:49 -07:00
profiler_benchmark Use libkineto in profiler (#46470) 2020-11-25 04:32:16 -08:00
record_function_benchmark Fix D23995953 import. 2020-09-29 19:30:23 -07:00
serialization [JIT] Make new zip serialization for torch save/load significantly (~70%) faster (#38379) 2020-05-29 01:56:18 -07:00
sparse Add CSR (compressed sparse row) layout for sparse tensors (#50937) 2021-04-12 10:09:12 -07:00
static_runtime [SR] Reverse iteration order in resetMemory (#71705) 2022-01-26 17:35:03 +00:00
tensorexpr [nnc] Added micro-benchmark to show perf improvement with cat subgraph optimization (#59581) 2021-06-18 14:32:09 -07:00
compare-fastrnn-results.py Benchmarks: add scripts for FastRNNs results comparison. (#44134) 2020-09-03 13:44:42 -07:00
compare.sh Benchmarks: add scripts for FastRNNs results comparison. (#44134) 2020-09-03 13:44:42 -07:00
README.md Add CSR (compressed sparse row) layout for sparse tensors (#50937) 2021-04-12 10:09:12 -07:00
upload_scribe.py Fix benchmark's import module and remove its usage of tools.stats.scribe (#61808) 2021-07-19 09:45:05 -07:00

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