ea850ecd20
* All Linux tests are now in Jenkins CI * Tests are now de-coupled from builds. We can now build XGBoost with one version of CUDA/JDK and test it with another version of CUDA/JDK * Builds (compilation) are significantly faster because 1) They use C5 instances with faster CPU cores; and 2) build environment setup is cached using Docker containers
31 lines
1.5 KiB
Bash
Executable File
31 lines
1.5 KiB
Bash
Executable File
#!/bin/bash
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rm -f *.model*
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export DMLC_SUBMIT_CLUSTER=local
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submit="timeout 30 python ../../dmlc-core/tracker/dmlc-submit"
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echo -e "\n ====== 1. Basic distributed-gpu test with Python: 4 workers; 1 GPU per worker ====== \n"
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$submit --num-workers=4 python distributed_gpu.py basic_1x4 || exit 1
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echo -e "\n ====== 2. Basic distributed-gpu test with Python: 2 workers; 2 GPUs per worker ====== \n"
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$submit --num-workers=2 python distributed_gpu.py basic_2x2 || exit 1
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echo -e "\n ====== 3. Basic distributed-gpu test with Python: 2 workers; Rank 0: 1 GPU, Rank 1: 3 GPUs ====== \n"
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$submit --num-workers=2 python distributed_gpu.py basic_asym || exit 1
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echo -e "\n ====== 4. Basic distributed-gpu test with Python: 1 worker; 4 GPUs per worker ====== \n"
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$submit --num-workers=1 python distributed_gpu.py basic_4x1 || exit 1
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echo -e "\n ====== 5. RF distributed-gpu test with Python: 4 workers; 1 GPU per worker ====== \n"
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$submit --num-workers=4 python distributed_gpu.py rf_1x4 || exit 1
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echo -e "\n ====== 6. RF distributed-gpu test with Python: 2 workers; 2 GPUs per worker ====== \n"
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$submit --num-workers=2 python distributed_gpu.py rf_2x2 || exit 1
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echo -e "\n ====== 7. RF distributed-gpu test with Python: 2 workers; Rank 0: 1 GPU, Rank 1: 3 GPUs ====== \n"
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$submit --num-workers=2 python distributed_gpu.py rf_asym || exit 1
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echo -e "\n ====== 8. RF distributed-gpu test with Python: 1 worker; 4 GPUs per worker ====== \n"
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$submit --num-workers=1 python distributed_gpu.py rf_4x1 || exit 1
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