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[Continuous batching] Add finish reason to generation output #1623

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[Continuous batching] Add finish reason to generation output

[Continuous batching] Add finish reason to generation output #1623

Workflow file for this run

.github/workflows/causal_lm_cpp.yml at 14c7fa6
name: causal_lm_cpp
on:
pull_request:
paths:
- .github/workflows/causal_lm_cpp.yml
- src/**
- samples/**
- thirdparty/openvino_tokenizers
- "!**.md"
permissions: read-all # Required by https://github.com/ossf/scorecard/blob/e23b8ad91fd6a64a0a971ca4fc0a4d1650725615/docs/checks.md#token-permissions
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
env:
l_ov_link: https://storage.openvinotoolkit.org/repositories/openvino/packages/nightly/2024.4.0-16161-d253f4fd89c/l_openvino_toolkit_ubuntu20_2024.4.0.dev20240730_x86_64.tgz
m_ov_link: https://storage.openvinotoolkit.org/repositories/openvino/packages/nightly/2024.4.0-16161-d253f4fd89c/m_openvino_toolkit_macos_12_6_2024.4.0.dev20240730_x86_64.tgz
w_ov_link: https://storage.openvinotoolkit.org/repositories/openvino/packages/nightly/2024.4.0-16161-d253f4fd89c/w_openvino_toolkit_windows_2024.4.0.dev20240730_x86_64.zip
jobs:
cpp-multinomial-greedy_causal_lm-ubuntu:
runs-on: ubuntu-20.04-8-cores
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
sudo ./ov/install_dependencies/install_openvino_dependencies.sh
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model openlm-research/open_llama_3b_v2 open_llama_3b_v2
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- run: >
. ./ov/setupvars.sh
&& PYTHONPATH=./build/:$PYTHONPATH timeout 25s
./build/samples/cpp/multinomial_causal_lm/multinomial_causal_lm ./open_llama_3b_v2/ a
- run: >
. ./ov/setupvars.sh
&& PYTHONPATH=./build/:$PYTHONPATH timeout 25s
./samples/python/multinomial_causal_lm/multinomial_causal_lm.py ./open_llama_3b_v2/ b
- run: >
. ./ov/setupvars.sh
&& export PYTHONPATH=./build/:$PYTHONPATH
&& timeout 25s ./build/samples/cpp/greedy_causal_lm/greedy_causal_lm ./open_llama_3b_v2/ "return 0"
| diff <(timeout 25s samples/python/greedy_causal_lm/greedy_causal_lm.py ./open_llama_3b_v2/ "return 0") -
cpp-beam_search_causal_lm-ubuntu:
strategy:
matrix:
executable:
[
./build/samples/cpp/beam_search_causal_lm/beam_search_causal_lm,
python ./samples/python/beam_search_causal_lm/beam_search_causal_lm.py,
]
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
sudo ./ov/install_dependencies/install_openvino_dependencies.sh
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model TinyLlama/TinyLlama-1.1B-Chat-v1.0 TinyLlama-1.1B-Chat-v1.0
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- name: Compare
run: |
source ./ov/setupvars.sh
export PYTHONPATH=./build/:$PYTHONPATH # C++ ignores that
timeout 25s ${{ matrix.executable }} ./TinyLlama-1.1B-Chat-v1.0/ "Why is the Sun yellow?" > ./pred.txt
python -c "
import transformers
with open('pred.txt', 'r') as file:
predictions = file.read()
tokenizer = transformers.LlamaTokenizer.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0')
tokenized = tokenizer('Why is the Sun yellow?', return_tensors='pt')
for beam in transformers.LlamaForCausalLM.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0').generate(**tokenized, num_beam_groups=3, num_beams=15, num_return_sequences=15, diversity_penalty=1.0, max_new_tokens=20, early_stopping=False, length_penalty=1.0, no_repeat_ngram_size=9**9, do_sample=False):
ref = ': ' + tokenizer.decode(beam[tokenized['input_ids'].numel():], skip_special_tokens=True)
idx = predictions.find(ref)
if -1 == idx:
raise RuntimeError(f'Missing "{ref=}" from predictions')
predictions = predictions[:idx] + predictions[idx + len(ref):]
"
echo "Why is the Sun yellow?" passed
timeout 25s ${{ matrix.executable }} ./TinyLlama-1.1B-Chat-v1.0/ 69 > ./pred.txt
python -c "
import transformers
with open('pred.txt', 'r') as file:
predictions = file.read()
tokenizer = transformers.LlamaTokenizer.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0')
tokenized = tokenizer('69', return_tensors='pt')
for beam in transformers.LlamaForCausalLM.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0').generate(**tokenized, num_beam_groups=3, num_beams=15, num_return_sequences=15, diversity_penalty=1.0, max_new_tokens=20, early_stopping=False, length_penalty=1.0, no_repeat_ngram_size=9**9, do_sample=False):
ref = ': ' + tokenizer.decode(beam[tokenized['input_ids'].numel():], skip_special_tokens=True)
idx = predictions.find(ref)
if -1 == idx:
raise RuntimeError(f'Missing "{ref=}" from predictions')
predictions = predictions[:idx] + predictions[idx + len(ref):]
"
echo 69 passed
timeout 25s ${{ matrix.executable }} ./TinyLlama-1.1B-Chat-v1.0/ Hi > ./pred.txt
python -c "
import transformers
with open('pred.txt', 'r') as file:
predictions = file.read()
tokenizer = transformers.LlamaTokenizer.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0')
tokenized = tokenizer('Hi', return_tensors='pt')
for beam in transformers.LlamaForCausalLM.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0').generate(**tokenized, num_beam_groups=3, num_beams=15, num_return_sequences=15, diversity_penalty=1.0, max_new_tokens=20, early_stopping=False, length_penalty=1.0, no_repeat_ngram_size=9**9, do_sample=False):
ref = ': ' + tokenizer.decode(beam[tokenized['input_ids'].numel():], skip_special_tokens=True)
idx = predictions.find(ref)
if -1 == idx:
raise RuntimeError(f'Missing "{ref=}" from predictions')
predictions = predictions[:idx] + predictions[idx + len(ref):]
"
echo "Hi" passed
timeout 25s ${{ matrix.executable }} ./TinyLlama-1.1B-Chat-v1.0/ "return 0" > ./pred.txt
python -c "
import transformers
with open('pred.txt', 'r') as file:
predictions = file.read()
tokenizer = transformers.LlamaTokenizer.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0')
tokenized = tokenizer('return 0', return_tensors='pt')
for beam in transformers.LlamaForCausalLM.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0').generate(**tokenized, num_beam_groups=3, num_beams=15, num_return_sequences=15, diversity_penalty=1.0, max_new_tokens=20, early_stopping=False, length_penalty=1.0, no_repeat_ngram_size=9**9, do_sample=False):
ref = ': ' + tokenizer.decode(beam[tokenized['input_ids'].numel():], skip_special_tokens=True)
idx = predictions.find(ref)
if -1 == idx:
raise RuntimeError(f'Missing "{ref=}" from predictions')
predictions = predictions[:idx] + predictions[idx + len(ref):]
"
echo "return 0" passed
timeout 25s ${{ matrix.executable }} ./TinyLlama-1.1B-Chat-v1.0/ "你好！ 你好嗎？" > ./pred.txt
python -c "
import transformers
with open('pred.txt', 'r') as file:
predictions = file.read()
tokenizer = transformers.LlamaTokenizer.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0')
tokenized = tokenizer('你好！ 你好嗎？', return_tensors='pt')
for beam in transformers.LlamaForCausalLM.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0').generate(**tokenized, num_beam_groups=3, num_beams=15, num_return_sequences=15, diversity_penalty=1.0, max_new_tokens=20, early_stopping=False, length_penalty=1.0, no_repeat_ngram_size=9**9, do_sample=False):
ref = ': ' + tokenizer.decode(beam[tokenized['input_ids'].numel():], skip_special_tokens=True)
idx = predictions.find(ref)
if -1 == idx:
raise RuntimeError(f'Missing "{ref=}" from predictions')
predictions = predictions[:idx] + predictions[idx + len(ref):]
"
echo "你好！ 你好嗎？" passed
timeout 1m ${{ matrix.executable }} ./TinyLlama-1.1B-Chat-v1.0/ "Alan Turing was a" "return 0" "你好！ 你好嗎？" > ./pred.txt
python -c "
import transformers
with open('pred.txt', 'r') as file:
predictions = file.read()
tokenizer = transformers.LlamaTokenizer.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0')
prompts = [
'Alan Turing was a',
'return 0',
'你好！ 你好嗎？'
]
for prompt in prompts:
tokenized = tokenizer(prompt, return_tensors='pt')
for beam in transformers.LlamaForCausalLM.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0').generate(**tokenized, num_beam_groups=3, num_beams=15, num_return_sequences=15, diversity_penalty=1.0, max_new_tokens=20, early_stopping=False, length_penalty=1.0, no_repeat_ngram_size=9**9, do_sample=False):
ref = ': ' + tokenizer.decode(beam[tokenized['input_ids'].numel():], skip_special_tokens=True)
idx = predictions.find(ref)
if -1 == idx:
raise RuntimeError(f'Missing "{ref=}" from predictions')
predictions = predictions[:idx] + predictions[idx + len(ref):]
"
echo "Multi prompt" passed
cpp-greedy_causal_lm-windows:
runs-on: windows-latest
env:
PYTHONIOENCODING: "utf8"
defaults:
run:
shell: cmd
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- run: curl --output ov.zip ${{ env.w_ov_link }}
- run: unzip -d ov ov.zip
- run: dirs=(ov/*) && mv ov/*/* ov && rmdir "${dirs[@]}"
shell: bash
- name: Download, convert and build
run: |
call .\ov\setupvars.bat
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model TinyLlama/TinyLlama-1.1B-Chat-v1.0 TinyLlama-1.1B-Chat-v1.0
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- run: >
set PATH=.\build\openvino_genai\;%PATH%
&& call .\ov\setupvars.bat
&& .\build\samples\cpp\greedy_causal_lm\Release\greedy_causal_lm.exe .\TinyLlama-1.1B-Chat-v1.0\ 69 > .\cpp.txt
- run: |
echo import transformers > ref.py
echo predictions = open('cpp.txt', 'r').read() >> ref.py
echo tokenizer = transformers.AutoTokenizer.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0', trust_remote_code=True) >> ref.py
echo tokenized = tokenizer('69', return_tensors='pt') >> ref.py
echo for beam in transformers.AutoModelForCausalLM.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0', trust_remote_code=True).generate(**tokenized, max_new_tokens=100, do_sample=False): >> ref.py
echo ref = tokenizer.decode(beam[tokenized['input_ids'].numel():], skip_special_tokens=True) >> ref.py
echo idx = predictions.find(ref) >> ref.py
echo if -1 == idx: >> ref.py
echo raise RuntimeError(f'Missing "{ref=}" from predictions') >> ref.py
echo predictions = predictions[:idx] + predictions[idx + len(ref):] >> ref.py
- run: python ref.py
- run: >
set PATH=.\build\openvino_genai\;%PATH%
&& set "PYTHONPATH=./build/"
&& call .\ov\setupvars.bat
&& python samples\python\greedy_causal_lm\greedy_causal_lm.py .\TinyLlama-1.1B-Chat-v1.0\ 69 > .\py.txt
- run: fc .\cpp.txt .\py.txt
cpp-beam_search_causal_lm-Qwen-7B-Chat:
runs-on: ubuntu-20.04-16-cores
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
sudo ./ov/install_dependencies/install_openvino_dependencies.sh
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model Qwen/Qwen-7B-Chat Qwen-7B-Chat
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- run: >
. ./ov/setupvars.sh
&& export PYTHONPATH=./build/:$PYTHONPATH
&& timeout 2m ./build/samples/cpp/greedy_causal_lm/greedy_causal_lm ./Qwen-7B-Chat/ 69 | diff <(timeout 2m samples/python/greedy_causal_lm/greedy_causal_lm.py ./Qwen-7B-Chat/ 69) -
cpp-beam_search_causal_lm-Qwen1_5-7B-Chat:
runs-on: ubuntu-20.04-16-cores
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
sudo ./ov/install_dependencies/install_openvino_dependencies.sh
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model Qwen/Qwen1.5-7B-Chat Qwen1.5-7B-Chat
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- run: >
. ./ov/setupvars.sh
&& export PYTHONPATH=./build/:$PYTHONPATH
&& timeout 50s ./build/samples/cpp/beam_search_causal_lm/beam_search_causal_lm ./Qwen1.5-7B-Chat/ "你好！"
| diff <(timeout 50s ./samples/python/beam_search_causal_lm/beam_search_causal_lm.py ./Qwen1.5-7B-Chat/ "你好！") -
cpp-beam_search_causal_lm-Phi-2:
runs-on: ubuntu-20.04-16-cores
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
sudo ./ov/install_dependencies/install_openvino_dependencies.sh
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model microsoft/phi-2 phi-2
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j 15
- run: >
. ./ov/setupvars.sh
&& export PYTHONPATH=./build/:$PYTHONPATH
&& timeout 50s ./build/samples/cpp/beam_search_causal_lm/beam_search_causal_lm ./phi-2/ 69
| diff <(timeout 50s ./samples/python/beam_search_causal_lm/beam_search_causal_lm.py ./phi-2/ 69) -
cpp-beam_search_causal_lm-notus-7b-v1:
runs-on: ubuntu-20.04-16-cores
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
sudo ./ov/install_dependencies/install_openvino_dependencies.sh
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model argilla/notus-7b-v1 notus-7b-v1
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- run: >
. ./ov/setupvars.sh
&& export PYTHONPATH=./build/:$PYTHONPATH
&& timeout 50s ./build/samples/cpp/beam_search_causal_lm/beam_search_causal_lm ./notus-7b-v1/ 69
| diff <(timeout 50s ./samples/python/beam_search_causal_lm/beam_search_causal_lm.py ./notus-7b-v1/ 69) -
cpp-speculative_decoding_lm-ubuntu:
runs-on: ubuntu-20.04-16-cores
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
sudo ./ov/install_dependencies/install_openvino_dependencies.sh
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model databricks/dolly-v2-3b dolly-v2-3b
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model databricks/dolly-v2-7b dolly-v2-7b
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- name: run and compare
run: |
source ./ov/setupvars.sh
./build/samples/cpp/speculative_decoding_lm/speculative_decoding_lm ./dolly-v2-3b/ ./dolly-v2-7b/ "Alan Turing was a" > predictions_speculative.txt
./build/samples/cpp/speculative_decoding_lm/speculative_decoding_lm ./dolly-v2-3b/ ./dolly-v2-7b/ "Alan Turing was a" > predictions_greedy.txt
python -c "
with open('predictions_greedy.txt', 'r') as f:
predicted_greedy = f.readline()
with open('predictions_speculative.txt', 'r') as f:
predicted_speculative = f.readline()
assert predicted_greedy == predicted_speculative
"
echo "Alan Turing was a" passed
cpp-prompt_lookup_decoding_lm-ubuntu:
runs-on: ubuntu-20.04-16-cores
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
sudo ./ov/install_dependencies/install_openvino_dependencies.sh
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model TinyLlama/TinyLlama-1.1B-Chat-v1.0 TinyLlama-1.1B-Chat-v1.0
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- name: run and compare
run: |
source ./ov/setupvars.sh
echo 'Code:```python
def add(a, b):
return a + b
```
Question: Can you please add 2 and 3
A:' > ./prompt.txt
./build/samples/cpp/prompt_lookup_decoding_lm/prompt_lookup_decoding_lm ./TinyLlama-1.1B-Chat-v1.0/ "$(<prompt.txt)" > predictions_prompt_lookup.txt
./build/samples/cpp/prompt_lookup_decoding_lm/prompt_lookup_decoding_lm ./TinyLlama-1.1B-Chat-v1.0/ "$(<prompt.txt)" > predictions_greedy.txt
python -c "
with open('predictions_greedy.txt', 'r') as f:
predicted_greedy = f.readline()
with open('predictions_prompt_lookup.txt', 'r') as f:
predicted_prompt_lookup = f.readline()
assert predicted_greedy == predicted_prompt_lookup
"
echo "Prompt lookup" passed
cpp-Phi-1_5:
runs-on: ubuntu-20.04-16-cores
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
sudo ./ov/install_dependencies/install_openvino_dependencies.sh
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model microsoft/phi-1_5 phi-1_5
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j 15
- name: Run Generation
run: |
source ./ov/setupvars.sh
timeout 50s ./build/samples/cpp/greedy_causal_lm/greedy_causal_lm ./phi-1_5/ "Alan Turing was a" > ./pred_greedy.txt
- name: Compare
run: |
python -c "
import transformers
with open('pred_greedy.txt', 'r') as file:
predictions = file.read()
tokenizer = transformers.AutoTokenizer.from_pretrained('microsoft/phi-1_5')
tokenized = tokenizer('Alan Turing was a', return_tensors='pt')
for output in transformers.AutoModelForCausalLM.from_pretrained('microsoft/phi-1_5').generate(**tokenized, max_length=100, do_sample=False):
ref = tokenizer.decode(output[tokenized['input_ids'].numel():], skip_special_tokens=True)
idx = predictions.find(ref)
if -1 == idx:
raise RuntimeError(f'Missing "{ref=}" from predictions')
predictions = predictions[:idx] + predictions[idx + len(ref):]
"
echo Phi-1_5 passed
- run: >
. ./ov/setupvars.sh
&& export PYTHONPATH=./build/:$PYTHONPATH
&& timeout 50s samples/python/greedy_causal_lm/greedy_causal_lm.py ./phi-1_5/ "Alan Turing was a"
| diff ./pred_greedy.txt -
cpp-greedy_causal_lm-redpajama-3b-chat:
runs-on: ubuntu-20.04-4-cores
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
sudo ./ov/install_dependencies/install_openvino_dependencies.sh
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model ikala/redpajama-3b-chat redpajama-3b-chat
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- run: source ./ov/setupvars.sh && convert_tokenizer ./redpajama-3b-chat/ --output ./redpajama-3b-chat/ --with-detokenizer --trust-remote-code
- name: Run Generation
run: |
source ./ov/setupvars.sh
timeout 50s ./build/samples/cpp/greedy_causal_lm/greedy_causal_lm ./redpajama-3b-chat/ "Alan Turing was a" > ./pred_greedy.txt
- name: Compare
run: |
python -c "
import transformers
with open('pred_greedy.txt', 'r') as file:
predictions = file.read()
tokenizer = transformers.AutoTokenizer.from_pretrained('ikala/redpajama-3b-chat')
tokenized = tokenizer('Alan Turing was a', return_tensors='pt')
for output in transformers.AutoModelForCausalLM.from_pretrained('ikala/redpajama-3b-chat').generate(**tokenized, max_length=100, do_sample=False):
ref = tokenizer.decode(output[tokenized['input_ids'].numel():], skip_special_tokens=True)
idx = predictions.find(ref)
if -1 == idx:
raise RuntimeError(f'Missing "{ref}" from predictions')
predictions = predictions[:idx] + predictions[idx + len(ref):]
"
echo "Alan Turing was a" passed
- run: >
. ./ov/setupvars.sh
&& export PYTHONPATH=./build/:$PYTHONPATH
&& timeout 50s samples/python/greedy_causal_lm/greedy_causal_lm.py ./redpajama-3b-chat/ "Alan Turing was a"
| diff ./pred_greedy.txt -
cpp-chat_sample-ubuntu:
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
sudo ./ov/install_dependencies/install_openvino_dependencies.sh
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model TinyLlama/TinyLlama-1.1B-Chat-v1.0 TinyLlama-1.1B-Chat-v1.0
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- name: Compare
run: |
source ./ov/setupvars.sh
printf 'What is 2 + 2?\nWhat is the previous answer?\nAdd 1 to it.\nSubtract 5 from it.\nWhy is the sun yellow?\nWhat was my first question?\nStop!\n' > ./input.txt
timeout 30s ./build/samples/cpp/chat_sample/chat_sample ./TinyLlama-1.1B-Chat-v1.0/ < input.txt > ./pred.txt
python -c "
from transformers import LlamaTokenizer, AutoModelForCausalLM
model_id = 'TinyLlama/TinyLlama-1.1B-Chat-v1.0'
tokenizer = LlamaTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
prompts = ['What is 2 + 2?', 'What is the previous answer?', 'Add 1 to it.', 'Subtract 5 from it.', 'Why is the sun yellow?', 'What was my first question?']
def gen_prompt(prompt):
return {'role': 'user', 'content': prompt}
def gen_answer(answer):
return {'role': 'assistant', 'content': answer}
chat_history = []
chat_prompt = ''
output = open('ref.txt', 'w')
for prompt in prompts:
output.write('question:\n')
chat_history.append(gen_prompt(prompt))
chat_prompt = tokenizer.apply_chat_template(chat_history, tokenize=False, add_generation_prompt=True)
tokenized = tokenizer(chat_prompt, return_tensors='pt')
answer = model.generate(**tokenized, max_length=1000, do_sample=False)
answer_str = tokenizer.decode(answer[0, tokenized['input_ids'].numel():], skip_special_tokens=True)
chat_history.append(gen_answer(answer_str))
output.write(answer_str)
output.write('\n----------\n')
output.write('question:\n')
output.close()
"
diff pred.txt ref.txt
echo "Chat sample cpp" passed
export PYTHONPATH=./build/:$PYTHONPATH
timeout 30s ./samples/python/chat_sample/chat_sample.py ./TinyLlama-1.1B-Chat-v1.0/ < input.txt > ./pred2.txt
diff pred2.txt ref.txt
echo "Chat sample python" passed
cpp-continuous-batching-ubuntu:
runs-on: ubuntu-20.04-8-cores
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
sudo ./ov/install_dependencies/install_openvino_dependencies.sh
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model TinyLlama/TinyLlama-1.1B-Chat-v1.0 TinyLlama-1.1B-Chat-v1.0
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- name: Run gtests
run: |
source ./ov/setupvars.sh
./build/tests/cpp/tests_continuous_batching
- name: Run accuracy_sample
run: |
source ./ov/setupvars.sh
timeout 50s ./build/samples/cpp/continuous_batching_accuracy/continuous_batching_accuracy -m ./TinyLlama-1.1B-Chat-v1.0/ -n 5
if: False # Fails with nightly ov
- name: Run throughput_benchmark
run: |
wget -q https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json
source ./ov/setupvars.sh
timeout 200s ./build/samples/cpp/continuous_batching_benchmark/continuous_batching_benchmark -n 10 -m ./TinyLlama-1.1B-Chat-v1.0/ --dataset ./ShareGPT_V3_unfiltered_cleaned_split.json --cache_size 1
timeout 200s ./build/samples/cpp/continuous_batching_benchmark/continuous_batching_benchmark -n 10 --dynamic_split_fuse --max_batch_size 256 --max_input_len 256 -m ./TinyLlama-1.1B-Chat-v1.0/ --dataset ./ShareGPT_V3_unfiltered_cleaned_split.json --cache_size 1
if: False # Fails with nightly ov
cpp-continuous-batching-windows:
runs-on: windows-latest
env:
PYTHONIOENCODING: "utf8"
defaults:
run:
shell: cmd
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
curl --output ov.zip ${{ env.w_ov_link }}
unzip -d ov ov.zip
dirs=(ov/*) && mv ov/*/* ov && rmdir "${dirs[@]}"
shell: bash
- name: Install dependencies and build
run: |
call .\ov\setupvars.bat
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model TinyLlama/TinyLlama-1.1B-Chat-v1.0 TinyLlama-1.1B-Chat-v1.0
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- name: Run gtests
run: |
set PATH=.\build\openvino_genai\;%PATH%
call .\ov\setupvars.bat
.\build\tests\cpp\Release\tests_continuous_batching.exe
- name: Run accuracy_sample
run: |
set PATH=.\build\openvino_genai\;%PATH%
call .\ov\setupvars.bat
.\build\samples\cpp\continuous_batching_accuracy\Release\continuous_batching_accuracy.exe -m .\TinyLlama-1.1B-Chat-v1.0\ -n 5
if: False # Fails with nightly ov
- name: Run throughput_benchmark
run: |
curl -o .\ShareGPT_V3_unfiltered_cleaned_split.json -s -L "https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json"
set PATH=.\build\openvino_genai\;%PATH%
call .\ov\setupvars.bat
.\build\samples\cpp\continuous_batching_benchmark\Release\continuous_batching_benchmark.exe -n 2 -m .\TinyLlama-1.1B-Chat-v1.0\ --dataset .\ShareGPT_V3_unfiltered_cleaned_split.json --cache_size 1
if: False # Fails with nightly ov
cpp-continuous-batching-macos:
runs-on: macos-12
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
run: |
mkdir ./ov/
curl ${{ env.m_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
brew install coreutils scons
- name: Download, convert and build
run: |
source ./ov/setupvars.sh
python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model TinyLlama/TinyLlama-1.1B-Chat-v1.0 TinyLlama-1.1B-Chat-v1.0
cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
cmake --build ./build/ --config Release -j
- name: Run gtests
run: |
source ./ov/setupvars.sh
./build/tests/cpp/tests_continuous_batching
- name: Run accuracy_sample
run: |
source ./ov/setupvars.sh
timeout 120s ./build/samples/cpp/continuous_batching_accuracy/continuous_batching_accuracy -m ./TinyLlama-1.1B-Chat-v1.0/ -n 5
if: False # Fails with nightly ov
- name: Run throughput_benchmark
run: |
wget -q https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json
source ./ov/setupvars.sh
./build/samples/cpp/continuous_batching_benchmark/continuous_batching_benchmark -n 5 -m ./TinyLlama-1.1B-Chat-v1.0/ --dataset ./ShareGPT_V3_unfiltered_cleaned_split.json --cache_size 1
if: False # Fails with nightly ov