
import argparse
import json
import re
from pathlib import Path

import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image

from transformers import (
    MobileNetVaConfig,
    MobileNetVaForImageClassification,
    MobileNetVaForSemanticSegmentation,
    MobileNetVaImageProcessor,
    load_tf_weights_in_mobilenet_va,
)
from transformers.utils import logging


logging.set_verbosity_info()
UpperCamelCase_     			=       logging.get_logger(__name__)


def 	_UpperCAmelCase				(  _lowerCamelCase						:       Dict		)    ->						Union[str, Any]:
  _lowerCAmelCase       :  List[str]   				=					MobileNetVaConfig(layer_norm_eps=0.001		)

  if "quant" in model_name:
    raise ValueError("""Quantized models are not supported."""		)

  _lowerCAmelCase       :  Dict   				=					re.match(R"""^.*mobilenet_v2_([^_]*)_([^_]*)$"""  ,      _lowerCamelCase		)
  if matches:
    _lowerCAmelCase       :  Tuple   				=					float(matches[1]		)
    _lowerCAmelCase       :  List[Any]   				=					int(matches[2]		)

  if model_name.startswith("""deeplabv3_"""		):
    _lowerCAmelCase       :  Any   				=					8
    _lowerCAmelCase       :  Any   				=					21
    _lowerCAmelCase       :  Optional[Any]   				=					"pascal-voc-id2label.json"
  else:
    # The TensorFlow version of MobileNetV2 predicts 1001 classes instead
    # of the usual 1000. The first class (index 0) is "background".
    _lowerCAmelCase       :  Optional[Any]   				=					10_01
    _lowerCAmelCase       :  str   				=					"imagenet-1k-id2label.json"

  _lowerCAmelCase       :  Any   				=					"huggingface/label-files"
  _lowerCAmelCase       :  str   				=					json.load(open(hf_hub_download(_lowerCamelCase  ,      _lowerCamelCase  ,      repo_type="""dataset"""		)  ,      """r"""		)		)

  if config.num_labels == 10_01:
    _lowerCAmelCase       :  Optional[Any]   				=					{int(_lowerCamelCase		) + 1: v for k, v in idalabel.items()}
    _lowerCAmelCase       :  Any   				=					"background"
  else:
    _lowerCAmelCase       :  Optional[Any]   				=					{int(_lowerCamelCase		): v for k, v in idalabel.items()}

  _lowerCAmelCase       :  Any   				=					idalabel
  _lowerCAmelCase       :  List[str]   				=					{v: k for k, v in idalabel.items()}

  return config


def 	_UpperCAmelCase				(  )    ->						Optional[Any]:
  _lowerCAmelCase       :  List[Any]   				=					"http://images.cocodataset.org/val2017/000000039769.jpg"
  _lowerCAmelCase       :  Union[str, Any]   				=					Image.open(requests.get(_lowerCamelCase  ,      stream=_lowerCamelCase		).raw		)
  return im


@torch.no_grad()
def 	_UpperCAmelCase				(  _lowerCamelCase						:       str  ,      _lowerCamelCase						:       List[str]  ,      _lowerCamelCase						:       int  ,      _lowerCamelCase						:       List[str]=False		)    ->						str:
  _lowerCAmelCase       :  Dict   				=					get_mobilenet_va_config(_lowerCamelCase		)

  # Load 🤗 model
  if model_name.startswith("""deeplabv3_"""		):
    _lowerCAmelCase       :  str   				=					MobileNetVaForSemanticSegmentation(_lowerCamelCase		).eval()
  else:
    _lowerCAmelCase       :  Any   				=					MobileNetVaForImageClassification(_lowerCamelCase		).eval()

  # Load weights from TensorFlow checkpoint
  load_tf_weights_in_mobilenet_va(_lowerCamelCase  ,      _lowerCamelCase  ,      _lowerCamelCase		)

  # Check outputs on an image, prepared by MobileNetV2ImageProcessor
  _lowerCAmelCase       :  List[str]   				=					MobileNetVaImageProcessor(
      crop_size={"""width""": config.image_size, """height""": config.image_size}  ,      size={"""shortest_edge""": config.image_size + 32}  ,      )
  _lowerCAmelCase       :  Any   				=					image_processor(images=prepare_img()  ,      return_tensors="""pt"""		)
  _lowerCAmelCase       :  Dict   				=					model(**_lowerCamelCase		)
  _lowerCAmelCase       :  List[Any]   				=					outputs.logits

  if model_name.startswith("""deeplabv3_"""		):
    assert logits.shape == (1, 21, 65, 65)

    if model_name == "deeplabv3_mobilenet_v2_1.0_513":
      _lowerCAmelCase       :  Any   				=					torch.tensor(
          [
              [[17.57_90, 17.75_81, 18.33_55], [18.32_57, 18.42_30, 18.89_73], [18.61_69, 18.86_50, 19.21_87]],
              [[-2.1595, -2.0977, -2.3741], [-2.4226, -2.3028, -2.6835], [-2.7819, -2.5991, -2.7706]],
              [[4.2058, 4.8317, 4.7638], [4.4136, 5.0361, 4.9383], [4.5028, 4.9644, 4.8734]],
          ]		)

    else:
      raise ValueError(f'Unknown model name: {model_name}'		)

    assert torch.allclose(logits[0, :3, :3, :3]  ,      _lowerCamelCase  ,      atol=1e-4		)
  else:
    assert logits.shape == (1, 10_01)

    if model_name == "mobilenet_v2_1.4_224":
      _lowerCAmelCase       :  List[str]   				=					torch.tensor([0.0181, -1.0015, 0.4688]		)
    elif model_name == "mobilenet_v2_1.0_224":
      _lowerCAmelCase       :  str   				=					torch.tensor([0.2445, -1.1993, 0.1905]		)
    elif model_name == "mobilenet_v2_0.75_160":
      _lowerCAmelCase       :  Dict   				=					torch.tensor([0.2482, 0.4136, 0.6669]		)
    elif model_name == "mobilenet_v2_0.35_96":
      _lowerCAmelCase       :  List[Any]   				=					torch.tensor([0.1451, -0.4624, 0.7192]		)
    else:
      _lowerCAmelCase       :  int   				=					None

    if expected_logits is not None:
      assert torch.allclose(logits[0, :3]  ,      _lowerCamelCase  ,      atol=1e-4		)

  Path(_lowerCamelCase		).mkdir(exist_ok=_lowerCamelCase		)
  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("""Pushing to the hub..."""		)
    _lowerCAmelCase       :  Optional[Any]   				=					"google/" + model_name
    image_processor.push_to_hub(_lowerCamelCase		)
    model.push_to_hub(_lowerCamelCase		)


if __name__ == "__main__":
     UpperCamelCase_     			=       argparse.ArgumentParser()
     # Required parameters
     parser.add_argument(
         """--model_name""",
         default="""mobilenet_v2_1.0_224""",
         type=str,
         help="""Name of the MobileNetV2 model you\'d like to convert. Should in the form \'mobilenet_v2_<depth>_<size>\'.""",
     )
     parser.add_argument(
         """--checkpoint_path""", required=True, type=str, help="""Path to the original TensorFlow checkpoint (.ckpt file)."""
     )
     parser.add_argument(
         """--pytorch_dump_folder_path""", required=True, 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_     			=       parser.parse_args()
     convert_movilevit_checkpoint(
         args.model_name, args.checkpoint_path, args.pytorch_dump_folder_path, args.push_to_hub
     )




'''simple docstring'''

from ..utils import DummyObject, requires_backends


class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				str    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				str    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				int    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[str]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Any    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				str    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Union[str, Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Union[str, Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Dict    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Tuple    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[int]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Union[str, Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Union[str, Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[int]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Dict    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[str]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Dict    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[str]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Any    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				str    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Union[str, Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Any    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				str    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Union[str, Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[str]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Dict    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Dict    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				int    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Union[str, Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[int]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				int    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Any    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				str    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				int    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[int]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				List[str]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Union[str, Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Any    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )



class   a_  (metaclass=_a    ):
       __lowerCAmelCase    :				Optional[Any]    =      ["""tokenizers"""]




       def __init__(     self   ,   *snake_case_   ,   **snake_case_  ):
         requires_backends(self   ,   ["""tokenizers"""]  )


