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sciqbench

run on NVIDIA GPUs

  • Required environment: cuda12 and pytorch 2.x
  • Run tests
./sciqbench.bash -dt nv -tt all     # run all tests
./sciqbench.bash -dt nv -tt device  # run device tests
./sciqbench.bash -dt nv --tt torchop # run torch op tests
./sciqbench.bash -dt nv --tt ext_lib # run ext_lib tests
# run each device test, detailed test results will be saved in ./device_test/<test_name>/result
./device_test/nv/bandwidthTest/run.bash
./device_test/nv/cublasMatMul/run.bash
./device_test/nv/nccl_test/run.bash
./device_test/nv/stream_test/run.bash

run on HuaWei Ascend devices

  • Run tests
./sciqbench.bash -dt hw -tt all
./sciqbench.bash -dt hw -tt device
./sciqbench.bash -dt hw -tt torchop

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