Skip annotate boolean input #2999
Dr.CI classification results
{"FAILED":[{"workflowId":8653687386,"workflowUniqueId":69064392,"id":23729396669,"runnerName":"i-015743836047dfbc7","authorEmail":"chenlai@meta.com","name":"Lint / lintrunner / linux-job","jobName":"lintrunner / linux-job","conclusion":"failure","completed_at":"2024-04-11T21:55:00Z","html_url":"https://github.com/pytorch/executorch/actions/runs/8653687386/job/23729396669","head_branch":"cherry-pick-2957-by-pytorch_bot_bot_","pr_number":2999,"head_sha":"3b56b58682b83bc8e0792a7f17543ee8a99eec1b","failure_captures":[">>> Lint for backends/qualcomm/quantizer/utils.py:"],"failure_lines":[">>> Lint for backends/qualcomm/quantizer/utils.py:"],"failure_context":["+ lintrunner --force-color --all-files --tee-json=lint.json","+ RC=0","+ lintrunner init","+ [[ -d /tmp/.lintbin ]]","+ CACHE_DIRECTORY=/tmp/.lintbin","+ hash -r","+ '[' -n '' ']'","+ '[' -n '' ']'","+ __conda_hashr","++ CONDA_PYTHON_EXE=/opt/conda/bin/python","++ export CONDA_PYTHON_EXE=/opt/conda/bin/python","++ CE_CONDA="],"time":"2024-04-11T21:55:05.019578Z"},{"workflowId":8653687387,"workflowUniqueId":63454257,"id":23729406760,"runnerName":"i-02def6e3dc5f3e0e0","authorEmail":"chenlai@meta.com","name":"pull / test-models-linux (cmake, llava_encoder, portable, linux.4xlarge, 90) / linux-job","jobName":"test-models-linux (cmake, llava_encoder, portable, linux.4xlarge, 90) / linux-job","conclusion":"failure","completed_at":"2024-04-11T21:57:32Z","html_url":"https://github.com/pytorch/executorch/actions/runs/8653687387/job/23729406760","head_branch":"cherry-pick-2957-by-pytorch_bot_bot","pr_number":2999,"head_sha":"3b56b58682b83bc8e0792a7f17543ee8a99eec1b","failure_captures":["RuntimeError: Command docker exec -t e32c0883c9f64ccf945cdf2f46f0ddf279fe7c1969de39c982871b7517a31485 /exec failed with exit code 1"],"failure_lines":["RuntimeError: Command docker exec -t e32c0883c9f64ccf945cdf2f46f0ddf279fe7c1969de39c982871b7517a31485 /exec failed with exit code 1"],"failure_context":["+ python -m examples.portable.scripts.export --model_name=llava_encoder","+ bash examples/models/llava_encoder/install_requirements.sh","+ [[ llava_encoder == \l\l\a\v\a\_\e\n\c\o\d\e\r ]]","+ [[ llava_encoder == \l\l\a\m\a\2 ]]","+ test_model","+ echo 'Testing llava_encoder with portable kernels...'","+ [[ portable == \p\o\r\t\a\b\l\e ]]","+ CMAKE_OUTPUT_DIR=cmake-out","+ which python","+ [[ -z portable ]]","+ BACKEND=portable","+ [[ -z cmake ]]"],"time":"2024-04-11T21:57:38.729527Z"}],"FLAKY":[],"BROKEN_TRUNK":[],"UNSTABLE":[]}