Add T5 encoder exporting to MLIR and numerics verification with IREE #568
Workflow file for this run
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| # Copyright 2024 Advanced Micro Devices, Inc. | |
| # | |
| # Licensed under the Apache License v2.0 with LLVM Exceptions. | |
| # See https://llvm.org/LICENSE.txt for license information. | |
| # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception | |
| name: Llama Benchmarking 8B Tests | |
| on: | |
| workflow_dispatch: | |
| pull_request: | |
| push: | |
| branches: | |
| - main | |
| concurrency: | |
| # A PR number if a pull request and otherwise the commit hash. This cancels | |
| # queued and in-progress runs for the same PR (presubmit) or commit | |
| # (postsubmit). The workflow name is prepended to avoid conflicts between | |
| # different workflows. | |
| group: ${{ github.workflow }}-${{ github.event.number || github.sha }} | |
| cancel-in-progress: true | |
| jobs: | |
| test_llama_quick: | |
| name: "Llama Benchmarking 8B Tests" | |
| strategy: | |
| matrix: | |
| version: [3.11] | |
| fail-fast: false | |
| runs-on: llama-mi300x-1 | |
| defaults: | |
| run: | |
| shell: bash | |
| env: | |
| PIP_CACHE_DIR: "${{ github.workspace }}/.pip-cache" | |
| VENV_DIR: ${{ github.workspace }}/.venv | |
| steps: | |
| - name: Get Current Date | |
| id: date | |
| run: echo "::set-output name=date::$(date +'%Y-%m-%d')" | |
| - name: "Setting up Python" | |
| id: setup_python | |
| uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 | |
| with: | |
| python-version: ${{matrix.version}} | |
| - name: "Checkout Code" | |
| uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 | |
| - name: Cache Pip Packages | |
| uses: actions/cache@6849a6489940f00c2f30c0fb92c6274307ccb58a # v4.1.2 | |
| id: cache-pip | |
| with: | |
| path: ${{ env.PIP_CACHE_DIR }} | |
| key: pip-${{ steps.setup_python.outputs.python-version }}-${{ hashFiles('*requirements.txt') }} | |
| - name: Install pip deps | |
| run: | | |
| python -m pip install --no-compile --upgrade pip | |
| # Note: We install in three steps in order to satisfy requirements | |
| # from non default locations first. Installing the PyTorch CPU | |
| # wheels saves multiple minutes and a lot of bandwidth on runner setup. | |
| pip install --no-compile -r pytorch-cpu-requirements.txt | |
| pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/ | |
| # Install latest iree-turbine. | |
| pip install --no-compile -f https://iree.dev/pip-release-links.html --src deps \ | |
| -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" | |
| # Test with nightly releases, not what iree-turbine uses. | |
| pip install -f https://iree.dev/pip-release-links.html --upgrade --pre \ | |
| iree-base-compiler \ | |
| iree-base-runtime | |
| - name: Run llama 8b f16 decomposed test | |
| run: pytest sharktank/tests/models/llama/benchmark_amdgpu_test.py -v -s --iree-hip-target=gfx942 --run-quick-llama-test | |
| - name: Upload llama executable files | |
| uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882 # v4.4.3 | |
| with: | |
| name: llama-files | |
| path: ${{ github.workspace }}/${{ steps.date.outputs.date }} |