Computational/deep learning benchmarks.
Currently, there is the only script called super_burner.py
. It supports matmul
, conv2d
and rnn
tasks in both PyTorch
and TensorFlow
.
Example usage:
CUDA_VISIBLE_DEVICES=0 python super_burner.py \
--framework=tf --task=conv2d \
--batch-size=32 --iterations=100000 \
--kernel-size=3 --input-size-2d=224 --depth=64
To get information about other supported options, type python super_burner.py --help
.