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ci_eval.yaml
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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: CI - Perplexity
on:
workflow_dispatch:
schedule:
# Weekdays nightly at 07:00 UTC = 23:00 PST / 00:00 PDT.
- cron: "0 7 * * 1-5"
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_perplexity_vmfb:
timeout-minutes: 1000
name: "IREE/vmfb"
strategy:
matrix:
version: [3.11]
runs-on: [llama-mi300x-3]
fail-fast: false
runs-on: ${{matrix.runs-on}}
defaults:
run:
shell: bash
env:
PIP_CACHE_DIR: "${{ github.workspace }}/.pip-cache"
SHARK_PLATFORM_REPO_ROOT: ${{ github.workspace }}
steps:
- name: "Setting up Python"
id: setup_python
uses: actions/setup-python@v3
with:
python-version: ${{matrix.version}}
- name: "Checkout Code"
uses: actions/checkout@v3
- name: Cache Pip Packages
uses: actions/cache@v4
id: cache-pip
with:
path: ${{ env.PIP_CACHE_DIR }}
key: pip-${{ steps.setup_python.outputs.python-version }}-${{ hashFiles('*requirements*.txt','sharktank/requirements*.txt') }}
- name: Install sharktank 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 -f https://iree.dev/pip-release-links.html --src deps \
-e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine"
pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/
# Try with the latest nightly releases, not what iree-turbine pins.
# We could also pin to a known working or stable version.
# This should eventually stabilize. Do the best we can for now.
pip install -f https://iree.dev/pip-release-links.html --upgrade \
iree-compiler \
iree-runtime \
"numpy<2.0"
- name: Run perplexity test with vmfb
run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_vmfb_test.py --longrun --iree-device='hip://7' --iree-hip-target=gfx942 --iree-hal-target-backends=rocm --llama3-8b-f16-model-path=/data/llama3.1/8b/llama8b_f16.irpa --llama3-8b-tokenizer-path=/data/llama3.1/8b/tokenizer_config.json
test_perplexity_torch:
timeout-minutes: 1000
name: "Torch/eager mode"
strategy:
matrix:
version: [3.11]
runs-on: [llama-mi300x-3]
fail-fast: false
runs-on: ${{matrix.runs-on}}
defaults:
run:
shell: bash
env:
PIP_CACHE_DIR: "${{ github.workspace }}/.pip-cache"
SHARK_PLATFORM_REPO_ROOT: ${{ github.workspace }}
steps:
- name: "Setting up Python"
id: setup_python
uses: actions/setup-python@v3
with:
python-version: ${{matrix.version}}
- name: "Checkout Code"
uses: actions/checkout@v3
- name: Cache Pip Packages
uses: actions/cache@v4
id: cache-pip
with:
path: ${{ env.PIP_CACHE_DIR }}
key: pip-${{ steps.setup_python.outputs.python-version }}-${{ hashFiles('*requirements.txt') }}
- name: Install sharktank 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 -f https://iree.dev/pip-release-links.html --src deps \
-e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine"
pip install --no-compile -r requirements.txt -r sharktank/requirements-tests.txt -e sharktank/
- name: Run perplexity test in eager mode
run: pytest -n 8 -v -s sharktank/tests/evaluate/perplexity_torch_test.py --longrun --llama3-8b-f16-model-path=/data/llama3.1/8b/llama8b_f16.irpa --llama3-8b-tokenizer-path=/data/llama3.1/8b/tokenizer_config.json