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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
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DATASET_ROOT_DIR=$HOME/datasets/
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# wget https://storage.googleapis.com/sgk-sc2020/dlmc.tar.gz -P $DATASET_ROOT_DIR # @lint-ignore
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# tar -xvf $DATASET_ROOT_DIR/dlmc.tar.gz
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echo "!! SPARSE SPMS TIME BENCHMARK!! "
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# cpu
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python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@sparse
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python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@sparse --backward-test
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python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@dense
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python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@dense --backward-test
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python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@vector
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# cuda
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python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@sparse --with-cuda
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python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@sparse --with-cuda --backward-test
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python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@dense --with-cuda
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python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@dense --with-cuda --backward-test
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python -m dlmc.matmul_bench --path $DATASET_ROOT_DIR/dlmc/rn50 --dataset magnitude_pruning --operation sparse@vector --with-cuda
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