[TKW] Fix chained dynamic vals (#350) #706
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # 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: ${{matrix.os}} | |
| env: | |
| PIP_CACHE_DIR: "${{ github.workspace }}/.pip-cache" | |
| 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: Cache Pip Packages | |
| uses: actions/cache@1bd1e32a3bdc45362d1e726936510720a7c30a57 # v4.2.0 | |
| 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-cache-dir -r iree-requirements-ci.txt --upgrade | |
| pip install -r requirements.txt -e . | |
| - name: Run unit tests | |
| if: ${{ !cancelled() }} | |
| run: | | |
| pytest -n 4 --capture=tee-sys -vv ./tests/kernel/wave/ | |
| - name: Test TKW runtime related stack on amdgpu | |
| if: "contains(matrix.os, 'amdgpu') && !cancelled()" | |
| run: | | |
| pip install --no-compile -r pytorch-rocm-requirements.txt | |
| export WAVE_RUN_E2E_TESTS=1 && export WAVE_CACHE_DIR=$PWD/.wave | |
| rm -rf ./.wave | |
| WAVE_CACHE_ON=1 pytest --capture=tee-sys -vv ./tests/kernel/wave/runtime | |
| - name: Run e2e tests on AMD GPU MI300 | |
| if: "contains(matrix.os, 'mi300') && !cancelled()" | |
| run: | | |
| pip install --no-compile -r pytorch-rocm-requirements.txt | |
| export WAVE_RUN_E2E_TESTS=1 | |
| WAVE_CACHE_ON=0 pytest -n 4 --capture=tee-sys -vv ./tests/kernel/wave/ | |
| - name: Run e2e tests on AMD GPU MI250 | |
| if: "contains(matrix.os, 'mi250') && !cancelled()" | |
| run: | | |
| pip install --no-compile -r pytorch-rocm-requirements.txt | |
| export WAVE_RUN_E2E_TESTS=1 | |
| WAVE_CACHE_ON=0 pytest -n 2 --capture=tee-sys -vv ./tests/kernel/wave/ | |
| - name: Run LIT tests | |
| if: ${{ !cancelled() }} | |
| run: | | |
| lit lit_tests/ -v | |
| - name: MyPy Type Checking | |
| if: ${{ !cancelled() }} | |
| run: | | |
| mypy |