Benchmark against TFApprox

etrommer / torch-approx

GPU-accelerated Neural Network layers using Approximate Multiplications for PyTorch

https://etrommer.de/torch-approx

MIT License

7 stars 3 forks source link

Open etrommer opened 2 years ago

etrommer commented 2 years ago

Some comparison with TFApprox with TFApprox was requested.

This should be kept separate from productive code, similar to #6

Test case is not fully-defined yet. Most likely scenario: Comparison of Conv2D inference speed.

etrommer commented 2 years ago

Build Environment used for TorchApprox: CUDA 10.1 Tensorflow 2.3.0 CuDNN 7.6.5

CUDA versions >= 11.0 do not compile due to incompatible API

etrommer commented 2 years ago

Rerun after merging #8

etrommer commented 1 year ago

Rerun using all High-Througput Models