"""
Copyright (c) 2024 The D-FINE Authors. All Rights Reserved.
"""

import copy
from typing import Tuple

# calflops is a training-time FLOPs profiler that pulls in `accelerate`. It is not
# needed for inference, and the deployment image removes `accelerate`, so import it
# lazily inside stats() to keep the package importable for inference-only use.


def stats(
    cfg,
    input_shape: Tuple = (1, 3, 640, 640),
) -> Tuple[int, dict]:
    from calflops import calculate_flops

    base_size = cfg.train_dataloader.collate_fn.base_size
    input_shape = (1, 3, base_size, base_size)

    model_for_info = copy.deepcopy(cfg.model).deploy()

    flops, macs, _ = calculate_flops(
        model=model_for_info,
        input_shape=input_shape,
        output_as_string=True,
        output_precision=4,
        print_detailed=False,
    )
    params = sum(p.numel() for p in model_for_info.parameters())
    del model_for_info

    return params, {"Model FLOPs:%s   MACs:%s   Params:%s" % (flops, macs, params)}