mirror of https://github.com/InternLM/InternLM
add
commit
c693fe81aa
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@ -36,12 +36,20 @@ jobs:
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conda create -n internlm-model-latest --clone ${CONDA_BASE_ENV}
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conda create -n internlm-model-latest --clone ${CONDA_BASE_ENV}
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source activate internlm-model-latest
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source activate internlm-model-latest
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pip install transformers
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pip install transformers
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- name: install torch
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run: |
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source activate internlm-model-latest
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pip install /mnt/petrelfs/qa-caif-cicd/resource/flash_attn-2.5.8+cu118torch2.2cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
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pip install torch==2.2.2 torchvision==0.17.2 --index-url https://download.pytorch.org/whl/cu118
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pip install sentencepiece auto-gptq==0.6.0 beautifulsoup4 decord lxml
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export LMDEPLOY_VERSION=0.5.0
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export PYTHON_VERSION=310
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pip install https://github.com/InternLM/lmdeploy/releases/download/v${LMDEPLOY_VERSION}/lmdeploy-${LMDEPLOY_VERSION}+cu118-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux2014_x86_64.whl --extra-index-url https://download.pytorch.org/whl/cu118
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python3 -m pip list
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conda deactivate
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- name: run_test
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- name: run_test
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run: |
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run: |
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source activate internlm-model-latest
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source activate internlm-model-latest
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pip install torch==2.2.2 torchvision==0.17.2 --index-url https://download.pytorch.org/whl/cu118
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pip install /mnt/petrelfs/qa-caif-cicd/resource/flash_attn-2.5.8+cu118torch2.2cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
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pip install sentencepiece auto-gptq==0.6.0 lmdeploy[all]==0.5.0 beautifulsoup4 decord lxml
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srun -p ${SLURM_PARTITION} --kill-on-bad-exit=1 --job-name=${GITHUB_RUN_ID}-${GITHUB_JOB} --gpus-per-task=2 pytest -s -v --color=yes ./tests/test_hf_model.py
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srun -p ${SLURM_PARTITION} --kill-on-bad-exit=1 --job-name=${GITHUB_RUN_ID}-${GITHUB_JOB} --gpus-per-task=2 pytest -s -v --color=yes ./tests/test_hf_model.py
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conda deactivate
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conda deactivate
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- name: remove_env
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- name: remove_env
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@ -556,7 +556,7 @@ class TestXcomposer2d5Model:
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'/mnt/petrelfs/qa-caif-cicd/github_runner/examples/screenshot.jpg'
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'/mnt/petrelfs/qa-caif-cicd/github_runner/examples/screenshot.jpg'
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]
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]
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with torch.autocast(device_type='cuda', dtype=torch.float16):
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with torch.autocast(device_type='cuda', dtype=torch.float16):
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response = model.resume_2_webpage(query,
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response = model.screen_2_webpage(query,
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image,
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image,
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seed=202,
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seed=202,
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repetition_penalty=3.0)
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repetition_penalty=3.0)
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