Bump IREE requirement pins to their latest versions. #863
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| # Copyright 2024 The IREE Authors | |
| # | |
| # 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: "TK CI" | |
| 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: | |
| name: "Unit Tests and Type Checking" | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| version: [3.11] | |
| os: [ubuntu-22.04, nodai-amdgpu-mi300-x86-64, nodai-amdgpu-mi250-x86-64] | |
| runs-on: ${{matrix.os}} | |
| env: | |
| VENV_DIR: ${{ github.workspace }}/.turbine-venv | |
| steps: | |
| - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 | |
| - name: "Setting up Python" | |
| id: setup_python | |
| uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 | |
| with: | |
| python-version: ${{matrix.version}} | |
| - name: Create Python venv | |
| run: | | |
| python -m venv ${VENV_DIR} | |
| source ${VENV_DIR}/bin/activate | |
| echo VIRTUAL_ENV=$VIRTUAL_ENV >> "$GITHUB_ENV" | |
| echo "$VENV_DIR/bin" >> "$GITHUB_PATH" | |
| - name: Install pip deps | |
| if: "!contains(matrix.os, 'amdgpu') && !cancelled()" | |
| 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-cache-dir -r requirements-iree-pinned.txt --upgrade | |
| pip install -r requirements.txt -e . | |
| - name: Install GPU pip deps | |
| if: "contains(matrix.os, 'amdgpu') && !cancelled()" | |
| 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-rocm-requirements.txt | |
| pip install --no-cache-dir -r requirements-iree-pinned.txt --upgrade | |
| pip install -r requirements.txt -e . | |
| - name: Run unit tests | |
| if: ${{ !cancelled() }} | |
| run: | | |
| pytest -n 4 --capture=tee-sys -vv ./tests/kernel/wave/ | |
| - name: Test TKW runtime related stack on amdgpu | |
| if: "contains(matrix.os, 'amdgpu') && !cancelled()" | |
| run: | | |
| export WAVE_CACHE_DIR=$PWD/.wave | |
| rm -rf ./.wave | |
| WAVE_CACHE_ON=1 pytest --capture=tee-sys -vv --run-e2e ./tests/kernel/wave/runtime | |
| - name: Run e2e tests on AMD GPU MI300 | |
| if: "contains(matrix.os, 'mi300') && !cancelled()" | |
| run: | | |
| WAVE_CACHE_ON=0 pytest -n 8 --capture=tee-sys -vv --run-e2e --gpu-distribute 8 ./tests/kernel/wave/ | |
| - name: Run e2e tests on AMD GPU MI250 | |
| if: "contains(matrix.os, 'mi250') && !cancelled()" | |
| run: | | |
| WAVE_CACHE_ON=0 pytest -n 2 --capture=tee-sys --run-e2e -vv ./tests/kernel/wave/ | |
| - name: Run LIT tests | |
| if: ${{ !cancelled() }} | |
| run: | | |
| lit lit_tests/ -v | |
| - name: MyPy Type Checking | |
| if: ${{ !cancelled() }} | |
| run: | | |
| mypy |