




import argparse

import requests
import torch
from PIL import Image

from transformers import SwinConfig, SwinForMaskedImageModeling, ViTImageProcessor




def 		lowerCAmelCase_   (	lowerCamelCase   ):
    __magic_name__	:	Union[str, Any]								=SwinConfig(image_size=192   )

    if "base" in model_name:
        __magic_name__	:	Tuple								=6
        __magic_name__	:	List[str]								=128
        __magic_name__	:	Any								=(2, 2, 18, 2)
        __magic_name__	:	Dict								=(4, 8, 16, 32)
    elif "large" in model_name:
        __magic_name__	:	Union[str, Any]								=12
        __magic_name__	:	Tuple								=192
        __magic_name__	:	int								=(2, 2, 18, 2)
        __magic_name__	:	Any								=(6, 12, 24, 48)
    else:
        raise ValueError("""Model not supported, only supports base and large variants"""   )

    __magic_name__	:	Union[str, Any]								=window_size
    __magic_name__	:	Optional[Any]								=embed_dim
    __magic_name__	:	Optional[int]								=depths
    __magic_name__	:	int								=num_heads

    return config




def 		lowerCAmelCase_   (	lowerCamelCase   ):
    if "encoder.mask_token" in name:
        __magic_name__	:	Union[str, Any]								=name.replace("""encoder.mask_token"""	,     """embeddings.mask_token"""   )
    if "encoder.patch_embed.proj" in name:
        __magic_name__	:	Tuple								=name.replace("""encoder.patch_embed.proj"""	,     """embeddings.patch_embeddings.projection"""   )
    if "encoder.patch_embed.norm" in name:
        __magic_name__	:	Tuple								=name.replace("""encoder.patch_embed.norm"""	,     """embeddings.norm"""   )
    if "attn.proj" in name:
        __magic_name__	:	str								=name.replace("""attn.proj"""	,     """attention.output.dense"""   )
    if "attn" in name:
        __magic_name__	:	Tuple								=name.replace("""attn"""	,     """attention.self"""   )
    if "norm1" in name:
        __magic_name__	:	Any								=name.replace("""norm1"""	,     """layernorm_before"""   )
    if "norm2" in name:
        __magic_name__	:	Dict								=name.replace("""norm2"""	,     """layernorm_after"""   )
    if "mlp.fc1" in name:
        __magic_name__	:	Dict								=name.replace("""mlp.fc1"""	,     """intermediate.dense"""   )
    if "mlp.fc2" in name:
        __magic_name__	:	Dict								=name.replace("""mlp.fc2"""	,     """output.dense"""   )

    if name == "encoder.norm.weight":
        __magic_name__	:	Any								="""layernorm.weight"""
    if name == "encoder.norm.bias":
        __magic_name__	:	Any								="""layernorm.bias"""

    if "decoder" in name:
        pass
    else:
        __magic_name__	:	str								="""swin.""" + name

    return name




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
    for key in orig_state_dict.copy().keys():
        __magic_name__	:	str								=orig_state_dict.pop(lowerCamelCase   )

        if "attn_mask" in key:
            pass
        elif "qkv" in key:
            __magic_name__	:	Union[str, Any]								=key.split("""."""   )
            __magic_name__	:	str								=int(key_split[2]   )
            __magic_name__	:	Optional[Any]								=int(key_split[4]   )
            __magic_name__	:	List[str]								=model.swin.encoder.layers[layer_num].blocks[block_num].attention.self.all_head_size

            if "weight" in key:
                __magic_name__	:	Any								=val[:dim, :]
                __magic_name__	:	Dict								=val[
                    dim : dim * 2, :
                ]
                __magic_name__	:	Dict								=val[-dim:, :]
            else:
                __magic_name__	:	Any								=val[
                    :dim
                ]
                __magic_name__	:	Union[str, Any]								=val[
                    dim : dim * 2
                ]
                __magic_name__	:	Optional[int]								=val[
                    -dim:
                ]
        else:
            __magic_name__	:	Union[str, Any]								=val

    return orig_state_dict




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
    __magic_name__	:	Dict								=torch.load(lowerCamelCase	,     map_location="""cpu"""   )["""model"""]

    __magic_name__	:	Union[str, Any]								=get_swin_config(lowerCamelCase   )
    __magic_name__	:	List[Any]								=SwinForMaskedImageModeling(lowerCamelCase   )
    model.eval()

    __magic_name__	:	Union[str, Any]								=convert_state_dict(lowerCamelCase	,     lowerCamelCase   )
    model.load_state_dict(lowerCamelCase   )

    __magic_name__	:	List[str]								="""http://images.cocodataset.org/val2017/000000039769.jpg"""

    __magic_name__	:	Dict								=ViTImageProcessor(size={"""height""": 192, """width""": 192}   )
    __magic_name__	:	Optional[Any]								=Image.open(requests.get(lowerCamelCase	,     stream=lowerCamelCase   ).raw   )
    __magic_name__	:	Union[str, Any]								=image_processor(images=lowerCamelCase	,     return_tensors="""pt"""   )

    with torch.no_grad():
        __magic_name__	:	List[str]								=model(**lowerCamelCase   ).logits

    print(outputs.keys()   )
    print("""Looks ok!"""   )

    if pytorch_dump_folder_path is not None:
        print(F"Saving model {model_name} to {pytorch_dump_folder_path}"   )
        model.save_pretrained(lowerCamelCase   )

        print(F"Saving image processor to {pytorch_dump_folder_path}"   )
        image_processor.save_pretrained(lowerCamelCase   )

    if push_to_hub:
        print(F"Pushing model and image processor for {model_name} to hub"   )
        model.push_to_hub(F"microsoft/{model_name}"   )
        image_processor.push_to_hub(F"microsoft/{model_name}"   )


if __name__ == "__main__":
       UpperCAmelCase_		:				Tuple									=     argparse.ArgumentParser()
       # Required parameters
       parser.add_argument(
           "--model_name",
           default="swin-base-simmim-window6-192",
           type=str,
           choices=["swin-base-simmim-window6-192", "swin-large-simmim-window12-192"],
           help="Name of the Swin SimMIM model you'd like to convert.",
       )
       parser.add_argument(
           "--checkpoint_path",
           default="/Users/nielsrogge/Documents/SwinSimMIM/simmim_pretrain__swin_base__img192_window6__100ep.pth",
           type=str,
           help="Path to the original PyTorch checkpoint (.pth file).",
       )
       parser.add_argument(
           "--pytorch_dump_folder_path", default=None, type=str, help="Path to the output PyTorch model directory."
       )
       parser.add_argument(
           "--push_to_hub", action="store_true", help="Whether or not to push the converted model to the 🤗 hub."
       )

       UpperCAmelCase_		:				str									=     parser.parse_args()
       convert_swin_checkpoint(args.model_name, args.checkpoint_path, args.pytorch_dump_folder_path, args.push_to_hub)










UpperCAmelCase_		:				int									=     [
    999,
    800,
    799,
    600,
    599,
    500,
    400,
    399,
    377,
    355,
    333,
    311,
    288,
    266,
    244,
    222,
    200,
    199,
    177,
    155,
    133,
    111,
    88,
    66,
    44,
    22,
    0,
]

UpperCAmelCase_		:				Optional[Any]									=     [
    999,
    976,
    952,
    928,
    905,
    882,
    858,
    857,
    810,
    762,
    715,
    714,
    572,
    429,
    428,
    286,
    285,
    238,
    190,
    143,
    142,
    118,
    95,
    71,
    47,
    24,
    0,
]

UpperCAmelCase_		:				int									=     [
    999,
    988,
    977,
    966,
    955,
    944,
    933,
    922,
    911,
    900,
    899,
    879,
    859,
    840,
    820,
    800,
    799,
    766,
    733,
    700,
    699,
    650,
    600,
    599,
    500,
    499,
    400,
    399,
    350,
    300,
    299,
    266,
    233,
    200,
    199,
    179,
    159,
    140,
    120,
    100,
    99,
    88,
    77,
    66,
    55,
    44,
    33,
    22,
    11,
    0,
]

UpperCAmelCase_		:				Dict									=     [
    999,
    995,
    992,
    989,
    985,
    981,
    978,
    975,
    971,
    967,
    964,
    961,
    957,
    956,
    951,
    947,
    942,
    937,
    933,
    928,
    923,
    919,
    914,
    913,
    908,
    903,
    897,
    892,
    887,
    881,
    876,
    871,
    870,
    864,
    858,
    852,
    846,
    840,
    834,
    828,
    827,
    820,
    813,
    806,
    799,
    792,
    785,
    784,
    777,
    770,
    763,
    756,
    749,
    742,
    741,
    733,
    724,
    716,
    707,
    699,
    698,
    688,
    677,
    666,
    656,
    655,
    645,
    634,
    623,
    613,
    612,
    598,
    584,
    570,
    569,
    555,
    541,
    527,
    526,
    505,
    484,
    483,
    462,
    440,
    439,
    396,
    395,
    352,
    351,
    308,
    307,
    264,
    263,
    220,
    219,
    176,
    132,
    88,
    44,
    0,
]

UpperCAmelCase_		:				int									=     [
    999,
    997,
    995,
    992,
    990,
    988,
    986,
    984,
    981,
    979,
    977,
    975,
    972,
    970,
    968,
    966,
    964,
    961,
    959,
    957,
    956,
    954,
    951,
    949,
    946,
    944,
    941,
    939,
    936,
    934,
    931,
    929,
    926,
    924,
    921,
    919,
    916,
    914,
    913,
    910,
    907,
    905,
    902,
    899,
    896,
    893,
    891,
    888,
    885,
    882,
    879,
    877,
    874,
    871,
    870,
    867,
    864,
    861,
    858,
    855,
    852,
    849,
    846,
    843,
    840,
    837,
    834,
    831,
    828,
    827,
    824,
    821,
    817,
    814,
    811,
    808,
    804,
    801,
    798,
    795,
    791,
    788,
    785,
    784,
    780,
    777,
    774,
    770,
    766,
    763,
    760,
    756,
    752,
    749,
    746,
    742,
    741,
    737,
    733,
    730,
    726,
    722,
    718,
    714,
    710,
    707,
    703,
    699,
    698,
    694,
    690,
    685,
    681,
    677,
    673,
    669,
    664,
    660,
    656,
    655,
    650,
    646,
    641,
    636,
    632,
    627,
    622,
    618,
    613,
    612,
    607,
    602,
    596,
    591,
    586,
    580,
    575,
    570,
    569,
    563,
    557,
    551,
    545,
    539,
    533,
    527,
    526,
    519,
    512,
    505,
    498,
    491,
    484,
    483,
    474,
    466,
    457,
    449,
    440,
    439,
    428,
    418,
    407,
    396,
    395,
    381,
    366,
    352,
    351,
    330,
    308,
    307,
    286,
    264,
    263,
    242,
    220,
    219,
    176,
    175,
    132,
    131,
    88,
    44,
    0,
]

UpperCAmelCase_		:				str									=     [
    999,
    991,
    982,
    974,
    966,
    958,
    950,
    941,
    933,
    925,
    916,
    908,
    900,
    899,
    874,
    850,
    825,
    800,
    799,
    700,
    600,
    500,
    400,
    300,
    200,
    100,
    0,
]

UpperCAmelCase_		:				Any									=     [
    999,
    992,
    985,
    978,
    971,
    964,
    957,
    949,
    942,
    935,
    928,
    921,
    914,
    907,
    900,
    899,
    879,
    859,
    840,
    820,
    800,
    799,
    766,
    733,
    700,
    699,
    650,
    600,
    599,
    500,
    499,
    400,
    399,
    300,
    299,
    200,
    199,
    100,
    99,
    0,
]

UpperCAmelCase_		:				Any									=     [
    999,
    996,
    992,
    989,
    985,
    982,
    979,
    975,
    972,
    968,
    965,
    961,
    958,
    955,
    951,
    948,
    944,
    941,
    938,
    934,
    931,
    927,
    924,
    920,
    917,
    914,
    910,
    907,
    903,
    900,
    899,
    891,
    884,
    876,
    869,
    861,
    853,
    846,
    838,
    830,
    823,
    815,
    808,
    800,
    799,
    788,
    777,
    766,
    755,
    744,
    733,
    722,
    711,
    700,
    699,
    688,
    677,
    666,
    655,
    644,
    633,
    622,
    611,
    600,
    599,
    585,
    571,
    557,
    542,
    528,
    514,
    500,
    499,
    485,
    471,
    457,
    442,
    428,
    414,
    400,
    399,
    379,
    359,
    340,
    320,
    300,
    299,
    279,
    259,
    240,
    220,
    200,
    199,
    166,
    133,
    100,
    99,
    66,
    33,
    0,
]




