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Allow default mode for compile when users cannot run "max-autotune-no-cudagraphs" due to compilation time. Overall, "default" mode is slower than "[max-autotune-no-cudagraphs](https://github.com/pytorch/pytorch/pull/158536)" depending on input shapes. <img width="3564" height="2368" alt="CrossEntropyBackward_bench" src="https://github.com/user-attachments/assets/5d25c0e4-6714-42bb-a544-b7ef9cbc1b17" /> <img width="3564" height="2368" alt="CrossEntropyForward_bench" src="https://github.com/user-attachments/assets/40e0bbf9-657f-48f2-ac0c-1f0fd6a0ac1d" /> <img width="3564" height="2368" alt="LayerNormBackward_bench" src="https://github.com/user-attachments/assets/db582bb2-d8d4-414a-9de7-b9af061ad0cd" /> <img width="3564" height="2368" alt="LayerNormForward_bench" src="https://github.com/user-attachments/assets/2ce18bd8-73fc-434a-820f-46aa9ad9ddce" /> <img width="3564" height="2368" alt="RMSNormBackward_bench" src="https://github.com/user-attachments/assets/f4cb5f4b-93d3-4d96-973f-37643912325a" /> <img width="3564" height="2368" alt="RMSNormForward_bench" src="https://github.com/user-attachments/assets/231c5805-b156-4587-9c5f-504a33b60883" /> <img width="3564" height="2368" alt="SoftmaxBackward_bench" src="https://github.com/user-attachments/assets/f651c578-813b-4a8e-bffc-b5b34bd879fc" /> <img width="3564" height="2368" alt="SoftmaxForward_bench" src="https://github.com/user-attachments/assets/bfdcc043-4370-4355-af84-9f463426b21a" /> Pull Request resolved: https://github.com/pytorch/pytorch/pull/158792 Approved by: https://github.com/zou3519
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
python -m pip install torch torchvision
# Install the latest pytorch master from source.
# It should supersede the installation from the release binary.
cd $PYTORCH_HOME
python -m pip install --no-build-isolation -v -e .
# 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: