forked from openvinotoolkit/openvino.genai
-
Notifications
You must be signed in to change notification settings - Fork 0
230 lines (219 loc) · 13.2 KB
/
genai-tools.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
# This workflow will install Python dependencies, run tests and lint with a single version of Python
# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
name: GenAI tools
on:
workflow_dispatch:
pull_request:
merge_group:
push:
branches:
- master
- 'releases/**'
permissions: read-all # Required by https://github.com/ossf/scorecard/blob/e23b8ad91fd6a64a0a971ca4fc0a4d1650725615/docs/checks.md#token-permissions
concurrency:
# github.ref is not unique in post-commit
group: ${{ github.event_name == 'push' && github.run_id || github.ref }}-llm-bench-python
cancel-in-progress: true
jobs:
openvino_download:
name: Download OpenVINO
outputs:
status: ${{ steps.openvino_download.outcome }}
ov_artifact_name: ${{ steps.openvino_download.outputs.ov_artifact_name }}
ov_wheel_source: ${{ steps.openvino_download.outputs.ov_wheel_source }}
ov_version: ${{ steps.openvino_download.outputs.ov_version }}
timeout-minutes: 10
defaults:
run:
shell: bash
runs-on: aks-linux-2-cores-8gb
container:
image: 'openvinogithubactions.azurecr.io/openvino_provider:0.1.0'
volumes:
- /mount:/mount
- ${{ github.workspace }}:${{ github.workspace }}
steps:
- uses: openvinotoolkit/openvino/.github/actions/openvino_provider@master
id: openvino_download
with:
platform: ubuntu22
commit_packages_to_provide: wheels
revision: latest_available_commit
llm_bench:
name: 'LLM bench tests'
defaults:
run:
shell: bash
runs-on: ubuntu-22.04-8-cores
strategy:
fail-fast: false
matrix:
python-version: ["3.11"]
needs: [ openvino_download ]
env:
OV_INSTALL_DIR: ${{ github.workspace }}/ov
SRC_DIR: ${{ github.workspace }}
LLM_BENCH_PYPATH: ${{ github.workspace }}/tools/llm_bench
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
with:
submodules: recursive
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
with:
python-version: ${{ matrix.python-version }}
- name: Lint with flake8
run: |
python -m pip install --upgrade pip
python -m pip install flake8 pytest black
# stop the build if there are Python syntax errors or undefined names
python -m flake8 ${{ env.LLM_BENCH_PYPATH }} --config=${{ env.LLM_BENCH_PYPATH }}/setup.cfg
- name: Download OpenVINO package
uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
with:
name: ${{ needs.openvino_download.outputs.ov_artifact_name }}
path: ${{ env.OV_INSTALL_DIR }}
merge-multiple: true
- name: Install dependencies
run: |
python -m pip install ${{ env.SRC_DIR }}/thirdparty/openvino_tokenizers -v ${{ needs.openvino_download.outputs.ov_wheel_source }}
python -m pip install ${{ env.SRC_DIR }} -v ${{ needs.openvino_download.outputs.ov_wheel_source }}
python -m pip install -r ${{ env.LLM_BENCH_PYPATH }}/requirements.txt ${{ needs.openvino_download.outputs.ov_wheel_source }}
working-directory: ${{ env.OV_INSTALL_DIR }}
- name: Test native pytorch model
run: |
huggingface-cli download fxmarty/tiny-dummy-qwen2 --local-dir ./tiny-random-qwen2
python ./tools/llm_bench/benchmark.py -m ./tiny-random-qwen2 -d cpu -n 1 -f pt -ic 20
- name: Test Optimum Intel LLM
run: |
optimum-cli export openvino --model ./tiny-random-qwen2 --task text-generation-with-past --weight-format fp16 ./ov_models/tiny-random-qwen2
python ./tools/llm_bench/benchmark.py -m ./ov_models/tiny-random-qwen2/ -d cpu -n 1 --optimum -ic 10
- name: Test Speculative Decoding via GenAI
run: |
optimum-cli export openvino --model ./tiny-random-qwen2 --task text-generation-with-past --weight-format int8 ./ov_models/tiny-random-qwen2-int8
python ./tools/llm_bench/benchmark.py -m ./ov_models/tiny-random-qwen2 --draft_model ./ov_models/tiny-random-qwen2-int8 -p "Why is the Sun yellow?" -d cpu --draft_device cpu -n 1 --assistant_confidence_threshold 0.4 -ic 20
python ./tools/llm_bench/benchmark.py -m ./ov_models/tiny-random-qwen2 --draft_model ./ov_models/tiny-random-qwen2-int8 -p "Why is the Sun yellow?" -d cpu --draft_device cpu -n 1 --num_assistant_tokens 5 -ic 20
rm -rf ./tiny-random-qwen2
rm -rf ./ov_models/
- name: Create prompt file for image generation
run: |
prompt="side profile centered painted portrait, Gandhi rolling a blunt, Gloomhaven, matte painting concept art, art nouveau, 8K HD Resolution, beautifully background"
json_template='{steps: $steps, width: $width, height: $height, guidance_scale: $guidance_scale, prompt: $prompt}'
jq -n -c --arg steps "30" --arg width "64" --arg height "128" --arg guidance_scale "1.0" --arg prompt "$prompt" "$json_template" > ./image_generation.jsonl
jq -n -c --arg steps "4" --arg width "64" --arg height "32" --arg guidance_scale "7.0" --arg prompt "$prompt" "$json_template" >> ./image_generation.jsonl
- name: Test echarlaix/tiny-random-latent-consistency Optimum Intel
run: |
optimum-cli export openvino --model echarlaix/tiny-random-latent-consistency --trust-remote-code --weight-format fp16 ./ov_models/tiny-random-latent-consistency
python ./tools/llm_bench/benchmark.py -m ./ov_models/tiny-random-latent-consistency/ -pf ./image_generation.jsonl -d cpu -n 1 --optimum --num_steps 4
- name: Test echarlaix/tiny-random-latent-consistency with GenAI Text to Image
run: python ./tools/llm_bench/benchmark.py -m ./ov_models/tiny-random-latent-consistency/ -pf ./image_generation.jsonl -d cpu -n 1 --num_steps 4
- name: Test echarlaix/tiny-random-latent-consistency with GenAI and LoRA
run: |
huggingface-cli download katuni4ka/tiny-random-latent-consistency-lora --local-dir ./lora
python ./tools/llm_bench/benchmark.py -m ./ov_models/tiny-random-latent-consistency/ -pf ./image_generation.jsonl -d cpu -n 1 --num_steps 4 --lora ./lora/tiny-random-latent-consistency-lora.safetensors --lora_alphas 0.7
rm -rf ./lora ./image_generation.jsonl
- name: Create prompt file for inpainting image generation
run: |
prompt="side profile centered painted portrait, Gandhi rolling a blunt, Gloomhaven, matte painting concept art, art nouveau, 8K HD Resolution, beautifully background"
media="https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png"
mask_image="https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png"
json_template='{steps: $steps, width: $width, height: $height, guidance_scale: $guidance_scale, strength: $strength, prompt: $prompt, media: $media, mask_image: $mask_image}'
jq -n -c --arg steps "30" --arg width "64" --arg height "128" --arg guidance_scale "1.0" --arg strength "0.8" --arg prompt "$prompt" --arg media "$media" --arg mask_image "$mask_image" "$json_template" > ./image_generation_inpainting.jsonl
- name: Test echarlaix/tiny-random-latent-consistency Inpainting
run: |
python ./tools/llm_bench/benchmark.py -m ./ov_models/tiny-random-latent-consistency/ -pf ./image_generation_inpainting.jsonl -d cpu -n 1 --num_steps 4 --task inpainting
rm -rf ./image_generation_inpainting.jsonl
- name: Create prompt file for for image to image generation
run: |
prompt="cat wizard, gandalf, lord of the rings, detailed, fantasy, cute, adorable, Pixar, Disney, 8k"
media="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png"
json_template='{steps: $steps, width: $width, height: $height, guidance_scale: $guidance_scale, strength: $strength, prompt: $prompt, media: $media}'
jq -n -c --arg steps "30" --arg width "64" --arg height "128" --arg guidance_scale "1.0" --arg strength "0.8" --arg prompt "$prompt" --arg media "$media" "$json_template" > ./image_generation_i2i.jsonl
- name: Test echarlaix/tiny-random-latent-consistency Image to Image
run: |
python ./tools/llm_bench/benchmark.py -m ./ov_models/tiny-random-latent-consistency/ -pf ./image_generation_i2i.jsonl -d cpu -n 1 --num_steps 4 --task image-to-image
rm -rf ./ov_models/ ./image_generation_i2i.jsonl
- name: Test openai/whisper-tiny via Optimum
run: |
GIT_LFS_SKIP_SMUDGE=1 git clone --depth 1 --branch main --single-branch https://huggingface.co/datasets/facebook/multilingual_librispeech
cd multilingual_librispeech
git lfs pull -I /data/mls_polish/train/audio/3283_1447_000.tar.gz
mkdir data/mls_polish/train/audio/3283_1447_000
tar zxvf data/mls_polish/train/audio/3283_1447_000.tar.gz -C data/mls_polish/train/audio/3283_1447_000/
cd ..
optimum-cli export openvino --trust-remote-code --model openai/whisper-tiny ./ov_models/whisper-tiny
python ./tools/llm_bench/benchmark.py -m ./ov_models/whisper-tiny --media multilingual_librispeech/data/mls_polish/train/audio/3283_1447_000/3283_1447_000000.flac -d cpu -n 1 --optimum
- name: Test openai/whisper-tiny via GenAI
run: |
python ./tools/llm_bench/benchmark.py -m ./ov_models/whisper-tiny --media multilingual_librispeech/data/mls_polish/train/audio/3283_1447_000/3283_1447_000000.flac -d cpu -n 1
rm -rf ./ov_models/whisper-tiny
rm -rf multilingual_librispeech
- name: Test katuni4ka/tiny-random-llava via Optimum
run: |
optimum-cli export openvino --model katuni4ka/tiny-random-llava ./ov_models/tiny-random-llava --task image-text-to-text --trust-remote-code
python ./tools/llm_bench/benchmark.py -m ./ov_models/tiny-random-llava --media https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/d5fbbd1a-d484-415c-88cb-9986625b7b11 --prompt "What is unusual on this image?" -ic 20 --optimum
python ./tools/llm_bench/benchmark.py -m ./ov_models/tiny-random-llava -pf ./tools/llm_bench/prompts/llava-1.5-7b.jsonl -ic 4 --optimum
- name: Test katuni4ka/tiny-random-llava via GenAI
run: |
python ./tools/llm_bench/benchmark.py -m ./ov_models/tiny-random-llava --media https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/d5fbbd1a-d484-415c-88cb-9986625b7b11 --prompt "What is unusual on this image?" -ic 20
python ./tools/llm_bench/benchmark.py -m ./ov_models/tiny-random-llava -pf ./tools/llm_bench/prompts/llava-1.5-7b.jsonl -ic 4
rm -rf ./ov_models
wwb:
name: 'WWB tests'
defaults:
run:
shell: bash
runs-on: ubuntu-22.04-8-cores
strategy:
fail-fast: false
matrix:
python-version: ["3.11"]
needs: [ openvino_download ]
env:
OV_INSTALL_DIR: ${{ github.workspace }}/ov
SRC_DIR: ${{ github.workspace }}
WWB_PATH: ${{ github.workspace }}/tools/who_what_benchmark
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
with:
submodules: recursive
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
with:
python-version: ${{ matrix.python-version }}
- name: Lint with flake8
run: |
python -m pip install --upgrade pip
python -m pip install flake8 pytest black
# stop the build if there are Python syntax errors or undefined names
python -m flake8 ${{ env.WWB_PATH }} --config=${{ env.WWB_PATH }}/setup.cfg
- name: Download OpenVINO package
uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
with:
name: ${{ needs.openvino_download.outputs.ov_artifact_name }}
path: ${{ env.OV_INSTALL_DIR }}
merge-multiple: true
- name: Install dependencies
run: |
python -m pip install ${{ env.SRC_DIR }}/thirdparty/openvino_tokenizers -v ${{ needs.openvino_download.outputs.ov_wheel_source }}
python -m pip install ${{ env.SRC_DIR }} -v ${{ needs.openvino_download.outputs.ov_wheel_source }}
python -m pip install -r ${{ env.WWB_PATH }}/requirements.txt ${{ needs.openvino_download.outputs.ov_wheel_source }}
python -m pip install git+https://github.com/huggingface/optimum-intel.git@main
working-directory: ${{ env.OV_INSTALL_DIR }}
- name: WWB Tests
run: |
python -m pip install -v ${{ env.WWB_PATH }}
python -m pytest -v ${{ env.WWB_PATH }}/tests
Overall_Status:
name: ci/gha_overall_status_llm_bench
needs: [openvino_download, llm_bench, wwb]
if: ${{ always() }}
runs-on: ubuntu-latest
steps:
- name: Check status of all jobs
if: >-
${{
contains(needs.*.result, 'failure') ||
contains(needs.*.result, 'cancelled')
}}
run: exit 1