Added README file and Scripts to Save and Visualizing Quantized Values #660
Workflow file for this run
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| name: Install Then Test GQA Variations | |
| on: [push, pull_request] | |
| jobs: | |
| Install-And-Test-GQA: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Check out repository code | |
| uses: actions/checkout@v4 | |
| - run: echo "${{ github.repository }} repository has been cloned to the runner." | |
| - run: echo "Currently on ${{ github.ref }} branch" | |
| - name: ls of directory | |
| run: | | |
| ls ${{ github.workspace }} | |
| - name: Install CPU Dependencies | |
| run: | | |
| python3 -m venv venv | |
| source venv/bin/activate | |
| python3 -m pip install --upgrade pip | |
| python3 -m pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu | |
| python3 -m pip install numpy transformers datasets tiktoken wandb tqdm tensorboard | |
| python3 -m pip install -r requirements_cpu.txt | |
| - name: Test all softmax variations | |
| run: | | |
| source venv/bin/activate | |
| python3 data/shakespeare_char/prepare.py | |
| cd tests | |
| source test_gqa_variations_cpu.sh | |