| description: angcb | |
| # amlt cred storage set angcb4wjp --subscription e033d461-1923-44a7-872b-78f1d35a86dd --resource-group Shun --allow-local-storage False | |
| target: | |
| service: sing | |
| name: msrresrchlab | |
| workspace_name: epeastus | |
| environment: | |
| registry: singularitybase.azurecr.io | |
| image: base/job/pytorch/acpt-2.2.1-py3.10-cuda12.1:20240312T225111416 | |
| storage: | |
| data: | |
| # storage_account_name: epeastus | |
| # container_name: cov19 | |
| # mount_dir: /home/xiaofangui/Blob_EastUS | |
| storage_account_name: angcb4wjp | |
| container_name: angcb | |
| mount_dir: /data/angcb | |
| code: | |
| # local directory of the code. this will be uploaded to the server. | |
| local_dir: $CONFIG_DIR/.. | |
| jobs: | |
| - name: ANGCB_land | |
| sku: 32G4-V100 | |
| # process_count_per_node: 1 | |
| # sla_tier: Standard | |
| sla_tier: premium | |
| priority: high | |
| identity: managed | |
| submit_args: | |
| env: | |
| SHARED_MEMORY_PERCENT: 1.0 | |
| _AZUREML_SINGULARITY_JOB_UAI: "/subscriptions/e033d461-1923-44a7-872b-78f1d35a86dd/resourcegroups/Shun/providers/Microsoft.ManagedIdentity/userAssignedIdentities/epeastus_mi" | |
| command: | |
| - bash install_dep_pkgs.sh | |
| - pip list | |
| - free -h | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target ACCESS --exp_id 101 --model_type gobm | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target CESM_ETHZ --exp_id 102 --model_type gobm | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target CNRM --exp_id 103 --model_type gobm | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target FESOM_REcoM --exp_id 104 --model_type gobm | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target IPSL --exp_id 105 --model_type gobm | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target MPIOM-HAMOCC --exp_id 106 --model_type gobm | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target MRI --exp_id 107 --model_type gobm | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target NEMO_PlankTOM --exp_id 108 --model_type gobm | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target NorESM --exp_id 109 --model_type gobm | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target Princeton --exp_id 110 --model_type gobm | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target CMEMS-LSCE-FFNN --exp_id 111 --model_type dataproduct | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target CSIR-ML6 --exp_id 112 --model_type dataproduct | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target JENA-MLS --exp_id 113 --model_type dataproduct | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target JMA-MLR --exp_id 114 --model_type dataproduct | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target LDEO-HPD --exp_id 115 --model_type dataproduct | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target NIES-ML3 --exp_id 116 --model_type dataproduct | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target OceanSODA-ETHZv2 --exp_id 117 --model_type dataproduct | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target UoEX-UEPFFNU --exp_id 118 --model_type dataproduct | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target VLIZ-SOMFFN --exp_id 119 --model_type dataproduct | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target CNRM --exp_id 203 --model_type gobm | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target UoEX-UEPFFNU --exp_id 218 --model_type dataproduct | |
| # - torchrun --nproc-per-node=4 multi_prediction_new.py --target average_gobm --exp_id 120 --model_type gobm | |
| # - CUDA_VISIBLE_DEVICES=4,5,6,7 torchrun --nproc-per-node=4 --master_port=12345 multi_prediction_new.py --target average_datapro --exp_id 121 --model_type dataproduct |