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升级megatron_v0.10  
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type: basic
format_version: 1
maintainers: [mcore]
loggers: [stdout]
spec:
  name: "{test_case}"
  model: bert
  nodes: 1
  build: mcore-pyt-{environment}
  gpus: 8
  platforms: dgx_a100
  artifacts: 
    /workspace/data/bert_data: text/the_pile/bert_shard00
  script: |-
    ls
    cd /opt/megatron-lm

    ARGUMENTS=(
        "DATA_PATH=/workspace/data/bert_data"
        "DATA_CACHE_PATH=/workspace/data/cache" 
        "OUTPUT_PATH={assets_dir}"
        "TENSORBOARD_PATH={assets_dir}/tensorboard"
        "CHECKPOINT_PATH=/workspace/checkpoints"
        "TRAINING_SCRIPT_PATH=pretrain_bert.py"
        "TRAINING_PARAMS_PATH=./tests/functional_tests/test_cases/{model}/{test_case}/model_config.yaml"
        "GOLDEN_VALUES_PATH=./tests/functional_tests/test_cases/{model}/{test_case}/golden_values_{environment}.json"
        "N_REPEAT={n_repeat}"
    )

    bash ./tests/functional_tests/shell_test_utils/run_ci_test.sh ${{ARGUMENTS[@]}}

products:
  - environment: [lts, dev]
    scope: [mr]
    time_limit: [1800]
    n_repeat: [5]
    test_case: 
    - bert_mr_mcore_tp2_pp2_dgx_a100_1N8G
    - bert_mr_mcore_tp2_pp2_local_spec_dgx_a100_1N8G
    - bert_mr_mcore_tp2_pp2_resume_torch_dist_dgx_a100_1N8G
    - bert_mr_mcore_tp2_pp2_resume_torch_dist_local_spec_dgx_a100_1N8G
    - bert_mr_tp1_pp4_vp2_dgx_a100_1N8G
    - bert_mr_tp1_pp4_vp2_resume_torch_dgx_a100_1N8G
    - bert_mr_tp2_pp2_dgx_a100_1N8G
    - bert_mr_tp2_pp2_resume_torch_dgx_a100_1N8G
  - environment: [lts, dev]
    scope: [nightly]
    n_repeat: [5]
    time_limit: [3600]
    test_case:
    - bert_nightly_dgx_a100_1N8G_mcore_tp1_pp2
    - bert_nightly_dgx_a100_1N8G_mcore_tp1_pp4_vp2
    - bert_nightly_dgx_a100_1N8G_mcore_tp4_pp1
    - bert_nightly_dgx_a100_1N8G_tp1_pp2
    - bert_nightly_dgx_a100_1N8G_tp4_pp1