Since cuBB 22-2.2 release, the test vectors are not included in the SDK. The developer needs to generate the TV files first before running cuPHY examples or cuBB end-to-end test.
No Matlab license required to generate TV files using Aerial Python mcore module. The cuBB Container already has aerial_mcore installed. To generate the TV files, run the following commands inside the Aerial container.
The TV generation may take few hours on the devkit with current isocpus parameter setting in kernel command line. Please also ensure the host has sufficient space to contain 144GB of TV files.
cd ${cuBB_SDK}/5GModel/aerial_mcore/examples
source ../scripts/setup.sh
export REGRESSION_MODE=1
time python3 ./example_5GModel_regression.py allChannels
echo $?
ls -alF GPU_test_input/
du -h GPU_test_input/
Example output is shown below. The “real” time takes less than one hour on a 24 cores x86 host. The “echo $?” shows the exit code of the process, which should be 0. A non-zero exit code indicates a failure.
Channel Compliance_Test Error Test_Vector Error Performance_Test Fail
------------------------------------------------------------------------------
SSB 37 0 42 0 0 0
PDCCH 71 0 80 0 0 0
PDSCH 274 0 286 0 0 0
CSIRS 86 0 87 0 0 0
DLMIX 0 0 1049 0 0 0
PRACH 60 0 60 0 48 0
PUCCH 469 0 469 0 96 0
PUSCH 388 0 398 0 41 0
SRS 125 0 125 0 0 0
ULMIX 0 0 576 0 0 0
BFW 58 0 58 0 0 0
------------------------------------------------------------------------------
Total 1568 0 3230 0 185 0
Total time for runRegression is 2147 seconds
Parallel pool using the 'local' profile is shutting down.
real 36m51.931s
user 585m1.704s
sys 10m28.322s
To Generate the launch pattern for each test case using cubb_scripts:
cd $cuBB_SDK
cd cubb_scripts
python3 auto_lp.py -i ../5GModel/aerial_mcore/examples/GPU_test_input -t launch_pattern_nrSim.yaml
Then Copy the launch pattern and TV files to testVectors repo.
cd $cuBB_SDK
cp ./5GModel/aerial_mcore/examples/GPU_test_input/*h5 ./testVectors/.
cp ./5GModel/aerial_mcore/examples/GPU_test_input/launch_pattern* ./testVectors/multi-cell/.
To generate TV files using Matlab, run the following command in Matlab:
cd('nr_matlab'); startup; [nTC, errCnt] = runRegression({'TestVector'}, {'allChannels'}, 'compact', [0, 1] );
All the cuPHY TVs are generated and stored under nr_matlab/GPU_test_input.
Generate the launch pattern for each test case using cubb_scripts:
cd $cuBB_SDK
cd cubb_scripts
python3 auto_lp.py -i ../5GModel/nr_matlab/GPU_test_input -t launch_pattern_nrSim.yaml
Copy the launch pattern and TV files to testVectors repo.
cd $cuBB_SDK
cp ./5GModel/nr_matlab/GPU_test_input/TVnr_* ./testVectors/.
cp ./5GModel/nr_matlab/GPU_test_input/launch_pattern* ./testVectors/multi-cell/.