{"library":"cloud-accelerator-diagnostics","type":"library","category":null,"description":"Cloud Accelerator Diagnostics is a Python library designed to monitor, debug, and profile workloads running on Cloud accelerators such as TPUs and GPUs. It provides a streamlined approach for automatically uploading diagnostic data to Tensorboard Experiments within Google Cloud's Vertex AI platform. The current version is 0.1.1, with related tools like `tpu-info` seeing more frequent updates, indicating active development in the ecosystem.","language":"en","status":"active","version":"0.1.1","tags":["cloud","tpu","gpu","diagnostics","monitoring","profiling","tensorboard","vertex-ai","google-cloud"],"last_verified":"Wed May 27","install":[{"cmd":"pip install cloud-accelerator-diagnostics","imports":["from cloud_accelerator_diagnostics.upload_to_tensorboard import start_upload_to_tensorboard","from cloud_accelerator_diagnostics.upload_to_tensorboard import stop_upload_to_tensorboard"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":17.7,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/cloud-accelerator-diagnostics/compatibility"}}