Upgrade HPU image to v1.16.2. #373
Workflow file for this run
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| 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}" |