hpu-gaudi2.yml

name: hpu-gaudi2

on:
  workflow_dispatch:
  schedule:
    - cron: "0 0 * * *"
  pull_request:
    paths:
      - ".github/workflows/hpu-gaudi2.yml"
      - "accelerator/hpu_accelerator.py"
      - "op_builder/hpu/**"
      - "deepspeed/runtime/engine.py"
      - "deepspeed/runtime/bf16_optimizer.py"
      - "deepspeed/runtime/zero/stage_1_and_2.py"
      - "deepspeed/runtime/zero/stage3.py"
      - "deepspeed/runtime/zero/partition_parameters.py"
      - "deepspeed/runtime/zero/partitioned_param_coordinator.py"
      - "deepspeed/runtime/zero/parameter_offload.py"
      - "deepspeed/runtime/pipe/engine.py"
      - "deepspeed/runtime/utils.py"
      - "deepspeed/inference/engine.py"
      - "deepspeed/module_inject/auto_tp.py"
      - "deepspeed/module_inject/replace_module.py"
      - "deepspeed/module_inject/load_checkpoint.py"
      - "deepspeed/module_inject/inject.py"
      - "deepspeed/ops/transformer/**"
      - "deepspeed/ops/adam/**"

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

permissions:
  contents: read
  issues: write

jobs:
  unit-tests:
    # The type of runner that the job will run on
    runs-on: [self-hosted, intel, gaudi2]
    container:
      image: vault.habana.ai/gaudi-docker/1.16.0/ubuntu22.04/habanalabs/pytorch-installer-2.2.2:latest
      ports:
        - 80
      options: --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice

    env:
      PT_HPU_LAZY_MODE: 0
      TORCHINDUCTOR_COMPILE_THREADS: 1
      TEST_LIST: |
        test_accelerator.py
        test_autotuning.py
        test_latest_checkpoint.py
        test_moe_checkpoint.py
        test_other_optimizer.py
        test_pipeline.py
        test_reshape_checkpoint.py
        test_shared_weights.py
        test_sparse.py
        test_tag_validation.py
        test_universal_checkpoint.py
        (test_zero_optimizer.py and (TestZeRONonDistributed or TestZeROCheckpointFrozenWeights or TestZeROElasticCheckpoint or TestSaveTensorClone or TestZeROSaveLoadEdgeCase))
        test_dist.py
        test_compression.py
        test_elastic.py
        test_run.py
        test_multinode_runner.py
        test_ds_arguments.py
        test_moe_tp.py
        test_moe.py
        test_monitor.py
        test_adamw.py
        test_pipe_module.py
        test_flops_profiler.py
        test_partition_balanced.py
        test_groups.py
        test_get_optim_files.py
        test_init_on_device.py
        test_activation_checkpointing_non_reentrant.py
        test_activation_checkpointing.py
        test_coalesced_collectives.py
        test_bf16.py
        test_dynamic_loss_scale.py
        (test_fp16.py and (TestZeroEmptyPartition or TestFP16AdamTypes or TestZeroEmptyGrad or TestFP16OptimizerForMoE or TestZeroSupportedClientOptimizer or TestZeroAllowUntestedOptimizer))
        test_csr.py
        test_data.py
        test_data_efficiency.py
        test_ds_config_dict.py
        test_ds_config_model.py
        test_ds_initialize.py
        test_lr_schedulers.py
        test_multi_output_model.py
        test_mup_optimizers.py
        (test_pld.py and test_pld_schedule)
        test_runtime_utils.py
        test_partition.py
        test_ignore_unused_parameters.py
        (test_zero.py and (not TestZero3RepeatForwardLoop))
        test_zero_config.py
        test_zero_context.py
        test_zero_context_ancestry.py
        test_zero_context_return.py
        test_zero_dynamic_class.py
        test_zero_leaf_module.py
        test_zero_tiled.py
        (test_compile_zero.py and (not nvme and not cpu-3-dtype1))
        (test_zero_tensor_fragment.py and (not cpu-3))
        test_zeropp.py

    # Steps represent a sequence of tasks that will be executed as part of the job
    steps:
      # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
      - uses: actions/checkout@v4

      - name: Check container state
        run: |
          ldd --version
          hl-smi
          python -c "import torch; print('torch:', torch.__version__, torch)"
          python -c "import torch; print('CUDA available:', torch.cuda.is_available())"

      - name: Install transformers
        run: |
          git clone https://github.com/huggingface/transformers
          cd transformers
          git rev-parse --short HEAD
          pip install .

      - name: Install deepspeed
        run: |
          pip install .[dev,autotuning]
          ds_report

      - name: Python environment
        run: |
          pip list

      - name: Unit tests
        run: |
          unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
          cd tests
          export PT_HPU_LAZY_MODE=${PT_HPU_LAZY_MODE}
          export TORCHINDUCTOR_COMPILE_THREADS=${TORCHINDUCTOR_COMPILE_THREADS}
          TEST_LIST=$(echo "$TEST_LIST" | awk 'NF{printf "%s%s", (NR>1 ? " or " : ""), $0} END{if (NR>1) print ""}')
          echo "TEST_LIST ${TEST_LIST}"
          pytest --verbose unit/ -k "${TEST_LIST}"