data_juicer.utils.resource_utils module¶ data_juicer.utils.resource_utils.query_cuda_info(query_key)[源代码]¶ data_juicer.utils.resource_utils.get_cpu_utilization()[源代码]¶ data_juicer.utils.resource_utils.query_mem_info(query_key)[源代码]¶ data_juicer.utils.resource_utils.cuda_device_count()[源代码]¶ data_juicer.utils.resource_utils.is_cuda_available()[源代码]¶ data_juicer.utils.resource_utils.cpu_count()[源代码]¶ data_juicer.utils.resource_utils.available_memories() → List[int][源代码]¶ Available memory for each node in MB. data_juicer.utils.resource_utils.available_gpu_memories() → List[int][源代码]¶ Available gpu memory of each gpu card for each alive node in MB.