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# pynvidiasmi Query nvidia-smi command and return its output as a list of dictionaries.

`python >> from pynvidiasmi import query, get_available_gpus >> # 'query' returns a dictionary with the queried fields >> # Possible fields can be obtained via nvidia-smi --help-query-gpu >> query(fields=["index", "name", "pstate", "utilization.gpu", "utilization.memory"]) [{'index': 0, 'name': 'A100-SXM4-40GB', 'pstate': 'P0', 'utilization.gpu': 0, 'utilization.memory': 0}, {'index': 1, 'name': 'A100-SXM4-40GB', 'pstate': 'P0', 'utilization.gpu': 47, 'utilization.memory': 10}] >> # 'get_available_gpus' queries the gpu 'times' times, waiting 'sleep' seconds between queries >> # and returns the GPUs that satisfy the memory and compute constraints all the times. >> # This helps in obtaining the GPUs that are available for starting a computation. >> get_available_gpus(memory_threshold=0, compute_threshold=0, times=3, sleep=1.0) [0] `

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