Move SGLang related tests #735
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 }} |