Summary:
The `assert False` lint error has been causing CI to fail:
./torch/utils/throughput_benchmark.py:14:13: B011 Do not call assert False since python -O removes these calls. Instead callers should raise AssertionError().
Pull Request resolved: https://github.com/pytorch/pytorch/pull/22424
Differential Revision: D16083464
Pulled By: bddppq
fbshipit-source-id: 6d96e36c8fcbb391d071b75fe79c22d526c1ba3c
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/22293
Just wrapping C class with nicer python interface which now
ust print dirrectly to get all the data. Later we can add various
visualizations there
Differential Revision: D16023999
fbshipit-source-id: 8436e37e36965821a690035617784dcdc352dcd1
Summary:
This is useful for measuring inference performance of your
models. This is a very basic benchmark for now. We don't support
batching on the benchmark side, no inter and intra op parallelizm is
supported yet, just caller based parallelizm.
Main phylosophy here is that user should be able to provide inputs
from python and just stack them within the benchmark. API should be
exactly the same as passing inputs to module.forward.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/20766
Test Plan: Added a new unit test
Differential Revision: D15435461
Pulled By: salexspb
fbshipit-source-id: db08829dc3f4398bb1d8aa16cc4a58b6c72f16c6
