mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 00:20:18 +01:00
e2f9759bd0
Pull Request resolved: https://github.com/pytorch/pytorch/pull/152237 Approved by: https://github.com/huydhn, https://github.com/malfet
28 lines
1.5 KiB
Bash
28 lines
1.5 KiB
Bash
#!/bin/bash
|
|
|
|
DATASET_ROOT_DIR=$HOME/datasets/
|
|
|
|
# wget https://storage.googleapis.com/sgk-sc2020/dlmc.tar.gz -P $DATASET_ROOT_DIR # @lint-ignore
|
|
# tar -xvf $DATASET_ROOT_DIR/dlmc.tar.gz
|
|
|
|
echo "!! SPARSE SPMS TIME BENCHMARK!! "
|
|
|
|
# cpu
|
|
python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@sparse
|
|
python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@sparse --backward-test
|
|
|
|
python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@dense
|
|
python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@dense --backward-test
|
|
|
|
python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@vector
|
|
|
|
|
|
# cuda
|
|
python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@sparse --with-cuda
|
|
python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@sparse --with-cuda --backward-test
|
|
|
|
python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@dense --with-cuda
|
|
python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@dense --with-cuda --backward-test
|
|
|
|
python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@vector --with-cuda
|