Repro the ghost processes for TorchAsyncITer #521
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Summary: First generate the data: bash nvt_preproc.sh /data/criteo/ /data/criteo_1_day/ 8192 Then run the command: torchx run -s local_cwd dist.ddp -j 1x8 --script train_torchrec.py -- --num_embeddings_per_feature 45833188,36746,17245,7413,20243,3,7114,1441,62,29275261,1572176,345138,10,2209,11267,128,4,974,14,48937457,11316796,40094537,452104,12606,104,35 --over_arch_layer_sizes 1024,1024,512,256,1 --binary_path /data/criteo_1_day/criteo_preproc/train/ And use nvidia-smi to check the ghosts process Differential Revision: D37794009 fbshipit-source-id: 58b34eb546715845c0500a8aa9fc8ca16bf9bd6c
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This pull request was exported from Phabricator. Differential Revision: D37794009 |
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Summary:
First generate the data:
bash nvt_preproc.sh /data/criteo/ /data/criteo_1_day/ 8192
Then run the command:
torchx run -s local_cwd dist.ddp -j 1x8 --script train_torchrec.py -- --num_embeddings_per_feature 45833188,36746,17245,7413,20243,3,7114,1441,62,29275261,1572176,345138,10,2209,11267,128,4,974,14,48937457,11316796,40094537,452104,12606,104,35 --over_arch_layer_sizes 1024,1024,512,256,1 --binary_path /data/criteo_1_day/criteo_preproc/train/
And use nvidia-smi to check the ghosts process
Differential Revision: D37794009