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[Good First Issue] Verify baichuan2-7b-chat with GenAI text_generation #747

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[Good First Issue] Verify baichuan2-7b-chat with GenAI text_generation

[Good First Issue] Verify baichuan2-7b-chat with GenAI text_generation #747

Workflow file for this run

.github/workflows/causal_lm_cpp.yml at 4389d32
name: causal_lm_cpp
on:
pull_request:
paths:
- .github/workflows/causal_lm_cpp.yml
- text_generation/causal_lm/cpp/*
- thirdparty/openvino_tokenizers
- "!**.md"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
cpp-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 https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.1/linux/l_openvino_toolkit_ubuntu20_2024.1.0.15008.f4afc983258_x86_64.tgz | 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 text_generation/causal_lm/cpp/requirements.txt
python -m pip install ./thirdparty/openvino_tokenizers/[transformers]
sudo apt-get install libtbb-dev
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 ./text_generation/causal_lm/cpp/ -B ./build/
cmake --build ./build/ --config Release -j
- name: greedy_causal_lm
run: |
source ./ov/setupvars.sh
./build/greedy_causal_lm ./open_llama_3b_v2/ "return 0"
cpp-beam_search_causal_lm-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 https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.1/linux/l_openvino_toolkit_ubuntu20_2024.1.0.15008.f4afc983258_x86_64.tgz | 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 ./text_generation/causal_lm/cpp/requirements.txt
python -m pip install ./thirdparty/openvino_tokenizers/[transformers]
sudo apt-get install libtbb-dev
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 ./text_generation/causal_lm/cpp/ -B ./build/
cmake --build ./build/ --config Release -j
- name: Compare
run: |
source ./ov/setupvars.sh
timeout 25s ./build/beam_search_causal_lm ./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) + '\n'
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 ./build/beam_search_causal_lm ./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) + '\n'
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 ./build/beam_search_causal_lm ./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) + '\n'
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 ./build/beam_search_causal_lm ./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) + '\n'
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
./build/beam_search_causal_lm ./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) + '\n'
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 ./build/beam_search_causal_lm ./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) + '\n'
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-beam_search_causal_lm-windows:
runs-on: windows-latest
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-python@v4
with:
python-version: 3.8
- name: Install OpenVINO
shell: bash
run: |
curl --output ov.zip https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.1/windows/w_openvino_toolkit_windows_2024.1.0.15008.f4afc983258_x86_64.zip
unzip ov.zip
- name: Download, convert and build
shell: cmd
run: |
call w_openvino_toolkit_windows_2024.1.0.15008.f4afc983258_x86_64\setupvars.bat
python -m pip install --upgrade-strategy eager -r text_generation/causal_lm/cpp/requirements.txt
python -m pip install ./thirdparty/openvino_tokenizers/[transformers]
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 ./text_generation/causal_lm/cpp/ -B ./build/
cmake --build ./build/ --config Release -j
- name: Compare
shell: cmd
run: |
call w_openvino_toolkit_windows_2024.1.0.15008.f4afc983258_x86_64\setupvars.bat
.\build\Release\beam_search_causal_lm.exe .\TinyLlama-1.1B-Chat-v1.0\ "69" > .\pred.txt
echo import transformers > ref.py
echo predictions = open('pred.txt', 'r').read() >> ref.py
echo tokenizer = transformers.LlamaTokenizer.from_pretrained('TinyLlama/TinyLlama-1.1B-Chat-v1.0') >> ref.py
echo tokenized = tokenizer('69', return_tensors='pt') >> ref.py
echo 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.py
echo ref = ': ' + tokenizer.decode(beam[tokenized['input_ids'].numel():], skip_special_tokens=True) + '\n' >> 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
python ref.py
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 https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.1/linux/l_openvino_toolkit_ubuntu20_2024.1.0.15008.f4afc983258_x86_64.tgz | 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 ./text_generation/causal_lm/cpp/requirements.txt
python -m pip install ./thirdparty/openvino_tokenizers/[transformers]
sudo apt-get install libtbb-dev
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model Qwen/Qwen-7B-Chat Qwen-7B-Chat
cmake -DCMAKE_BUILD_TYPE=Release -S ./text_generation/causal_lm/cpp/ -B ./build/
cmake --build ./build/ --config Release -j
- name: Compare
run: |
source ./ov/setupvars.sh
timeout 50s ./build/beam_search_causal_lm ./Qwen-7B-Chat/ 69 > ./pred.txt
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 https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.1/linux/l_openvino_toolkit_ubuntu20_2024.1.0.15008.f4afc983258_x86_64.tgz | 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 ./text_generation/causal_lm/cpp/requirements.txt
python -m pip install ./thirdparty/openvino_tokenizers/[transformers]
sudo apt-get install libtbb-dev
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 ./text_generation/causal_lm/cpp/ -B ./build/
cmake --build ./build/ --config Release -j
- name: Run
run: |
source ./ov/setupvars.sh
timeout 50s ./build/beam_search_causal_lm ./Qwen1.5-7B-Chat/ "你好！" > ./pred_qwen15.txt
cpp-beam_search_causal_lm-Baichuan2-7B-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 https://storage.openvinotoolkit.org/repositories/openvino/packages/nightly/2024.1.0-14645-e6dc0865128/l_openvino_toolkit_ubuntu20_2024.1.0.dev20240304_x86_64.tgz | 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 -r ./llm_bench/python/requirements.txt ./thirdparty/openvino_tokenizers/[transformers] --extra-index-url https://download.pytorch.org/whl/cpu && python ./llm_bench/python/convert.py --model_id baichuan-inc/Baichuan2-7B-Chat --output_dir ./Baichuan2-7B-Chat/ --precision FP16 &
cmake -DCMAKE_BUILD_TYPE=Release -S ./text_generation/causal_lm/cpp/ -B ./build/
cmake --build ./build/ --config Release -j
wait
- name: Run and Compare
run: |
source ./ov/setupvars.sh
convert_tokenizer ./Baichuan2-7B-Chat/pytorch/dldt/FP16/ --output ./Baichuan2-7B-Chat/pytorch/dldt/FP16/ --with-detokenizer --trust-remote-code
timeout 50s ./build/beam_search_causal_lm ./Baichuan2-7B-Chat/pytorch/dldt/FP16/ "69" > ./pred_baichuan2.txt
python -c "
import transformers
with open('pred_baichuan2.txt', 'r') as file:
predictions = file.read()
tokenizer = transformers.AutoTokenizer.from_pretrained('baichuan-inc/Baichuan2-7B-Chat',trust_remote_code=True)
tokenized = tokenizer('69', return_tensors='pt')
for beam in transformers.AutoModelForCausalLM.from_pretrained('baichuan-inc/Baichuan2-7B-Chat',trust_remote_code=True).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
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 https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.1/linux/l_openvino_toolkit_ubuntu20_2024.1.0.15008.f4afc983258_x86_64.tgz | 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 ./text_generation/causal_lm/cpp/requirements.txt
python -m pip install ./thirdparty/openvino_tokenizers/[transformers]
sudo apt-get install libtbb-dev
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model microsoft/phi-2 phi-2
cmake -DCMAKE_BUILD_TYPE=Release -S ./text_generation/causal_lm/cpp/ -B ./build/
cmake --build ./build/ --config Release -j 15
- name: Compare
run: |
source ./ov/setupvars.sh
timeout 50s ./build/beam_search_causal_lm ./phi-2/ 69 > ./pred.txt
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 https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.1/linux/l_openvino_toolkit_ubuntu20_2024.1.0.15008.f4afc983258_x86_64.tgz | 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 ./text_generation/causal_lm/cpp/requirements.txt
python -m pip install ./thirdparty/openvino_tokenizers/[transformers]
sudo apt-get install libtbb-dev
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model argilla/notus-7b-v1 notus-7b-v1
cmake -DCMAKE_BUILD_TYPE=Release -S ./text_generation/causal_lm/cpp/ -B ./build/
cmake --build ./build/ --config Release -j
- name: Compare
run: |
source ./ov/setupvars.sh
timeout 50s ./build/beam_search_causal_lm ./notus-7b-v1/ 69 > ./pred.txt
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 https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.1/linux/l_openvino_toolkit_ubuntu20_2024.1.0.15008.f4afc983258_x86_64.tgz | 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 ./text_generation/causal_lm/cpp/requirements.txt
python -m pip install ./thirdparty/openvino_tokenizers/[transformers]
sudo apt-get install libtbb-dev
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 ./text_generation/causal_lm/cpp/ -B ./build/
cmake --build ./build/ --config Release -j
- name: run and compare
run: |
source ./ov/setupvars.sh
./build/speculative_decoding_lm ./dolly-v2-3b/ ./dolly-v2-7b/ "Alan Turing was a" > predictions_speculative.txt
./build/greedy_causal_lm ./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 https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.1/linux/l_openvino_toolkit_ubuntu20_2024.1.0.15008.f4afc983258_x86_64.tgz | 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 ./text_generation/causal_lm/cpp/requirements.txt
python -m pip install ./thirdparty/openvino_tokenizers/[transformers]
sudo apt-get install libtbb-dev
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 ./text_generation/causal_lm/cpp/ -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/prompt_lookup_decoding_lm ./TinyLlama-1.1B-Chat-v1.0/ "$(<prompt.txt)" > predictions_prompt_lookup.txt
./build/greedy_causal_lm ./TinyLlama-1.1B-Chat-v1.0/ "$(<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 https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.1/linux/l_openvino_toolkit_ubuntu20_2024.1.0.15008.f4afc983258_x86_64.tgz | 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 ./text_generation/causal_lm/cpp/requirements.txt
python -m pip install ./thirdparty/openvino_tokenizers/[transformers]
sudo apt-get install libtbb-dev
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model microsoft/phi-1_5 phi-1_5
cmake -DCMAKE_BUILD_TYPE=Release -S ./text_generation/causal_lm/cpp/ -B ./build/
cmake --build ./build/ --config Release -j 15
- name: Run Generation
run: |
source ./ov/setupvars.sh
timeout 50s ./build/greedy_causal_lm ./phi-1_5/ "Alan Turing was a" > ./pred_greedy.txt
timeout 50s ./build/beam_search_causal_lm ./phi-1_5/ "Alan Turing was a" > ./pred_beam.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) + '\n'
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
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 https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.1/linux/l_openvino_toolkit_ubuntu20_2024.1.0.15008.f4afc983258_x86_64.tgz | 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 ./text_generation/causal_lm/cpp/requirements.txt
python -m pip install ./thirdparty/openvino_tokenizers/[transformers]
sudo apt-get install libtbb-dev
optimum-cli export openvino --trust-remote-code --weight-format fp16 --model ikala/redpajama-3b-chat redpajama-3b-chat
cmake -DCMAKE_BUILD_TYPE=Release -S ./text_generation/causal_lm/cpp/ -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/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) + '\n'
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