causal_lm_cpp.yml

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]
          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]
          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/ 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

  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]
          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]
          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-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]
          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]
          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]
          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-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]
          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 "Alan Turing was a" passed