File: test.sh

package info (click to toggle)
pytorch 1.13.1%2Bdfsg-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 139,252 kB
  • sloc: cpp: 1,100,274; python: 706,454; ansic: 83,052; asm: 7,618; java: 3,273; sh: 2,841; javascript: 612; makefile: 323; xml: 269; ruby: 185; yacc: 144; objc: 68; lex: 44
file content (27 lines) | stat: -rw-r--r-- 1,530 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
#!/bin/bash

DATASET_ROOT_DIR=$HOME/datasets/

# wget https://storage.googleapis.com/sgk-sc2020/dlmc.tar.gz -P $DATASET_ROOT_DIR
# 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