{
    "device": "$torch.device(f'cuda:{dist.get_rank()}')",
    "network": {
        "_target_": "torch.nn.parallel.DistributedDataParallel",
        "module": "$@network_def.to(@device)",
        "device_ids": [
            "@device"
        ]
    },
    "validate#sampler": {
        "_target_": "DistributedSampler",
        "dataset": "@validate#dataset",
        "even_divisible": false,
        "shuffle": false
    },
    "validate#dataloader#sampler": "@validate#sampler",
    "validate#handlers#1#_disabled_": "$dist.get_rank() > 0",
    "evaluating": [
        "$import torch.distributed as dist",
        "$dist.init_process_group(backend='nccl')",
        "$torch.cuda.set_device(@device)",
        "$setattr(torch.backends.cudnn, 'benchmark', True)",
        "$import logging",
        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
        "$@validate#evaluator.run()",
        "$dist.destroy_process_group()"
    ]
}