



import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


lowercase_								=     get_tests_dir("""fixtures/spiece.model""")
@require_sentencepiece
@require_tokenizers
class 				_snake_case			(					_lowerCAmelCase    ,	unittest.TestCase):
				UpperCamelCase__				:					Any     		=DebertaVaTokenizer
				UpperCamelCase__				:					Optional[Any]     		=DebertaVaTokenizerFast
				UpperCamelCase__				:					int     		=True
				UpperCamelCase__				:					str     		=True




				def 							A__      (						self					:						Any						):
							super().setUp()

							# We have a SentencePiece fixture for testing
							lowercase__					  =				DebertaVaTokenizer(_lowerCAmelCase,					unk_token="<unk>"						)
							tokenizer.save_pretrained(self.tmpdirname						)




				def 							A__      (						self					:						str,					__lowercase					:						List[str]						):
							lowercase__					  =				"this is a test"
							lowercase__					  =				"this is a test"
							return input_text, output_text




				def 							A__      (						self					:						Tuple						):
							lowercase__					  =				"<pad>"
							lowercase__					  =				0

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowerCAmelCase						),					_lowerCAmelCase						)
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowerCAmelCase						),					_lowerCAmelCase						)




				def 							A__      (						self					:						Union[str, Any]						):
							lowercase__					  =				list(self.get_tokenizer().get_vocab().keys()						)
							self.assertEqual(vocab_keys[0],					"<pad>"						)
							self.assertEqual(vocab_keys[1],					"<unk>"						)
							self.assertEqual(vocab_keys[-1],					"[PAD]"						)
							self.assertEqual(len(_lowerCAmelCase						),					3_0001						)




				def 							A__      (						self					:						Union[str, Any]						):
							self.assertEqual(self.get_tokenizer().vocab_size,					3_0000						)




				def 							A__      (						self					:						int						):
							lowercase__					  =				" \tHeLLo!how  \n Are yoU?  "
							lowercase__					  =				["▁hello", "!", "how", "▁are", "▁you", "?"]
							# fmt: on

							lowercase__					  =				DebertaVaTokenizer(_lowerCAmelCase,					do_lower_case=_lowerCAmelCase						)
							lowercase__					  =				tokenizer.convert_ids_to_tokens(tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)

							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)

							lowercase__					  =				DebertaVaTokenizerFast(_lowerCAmelCase,					do_lower_case=_lowerCAmelCase						)
							lowercase__					  =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)

							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)




				@unittest.skip("There is an inconsistency between slow and fast tokenizer due to a bug in the fast one."						)
				def 							A__      (						self					:						Union[str, Any]						):
							pass




				@unittest.skip("There is an inconsistency between slow and fast tokenizer due to a bug in the fast one."						)
				def 							A__      (						self					:						int						):
							pass




				def 							A__      (						self					:						str						):
							lowercase__					  =				"I was born in 92000, and this is falsé."
							lowercase__					  =				["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
							# fmt: on

							lowercase__					  =				DebertaVaTokenizer(_lowerCAmelCase,					split_by_punct=_lowerCAmelCase						)
							lowercase__					  =				tokenizer.convert_ids_to_tokens(tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)

							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)

							lowercase__					  =				DebertaVaTokenizerFast(_lowerCAmelCase,					split_by_punct=_lowerCAmelCase						)
							lowercase__					  =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)

							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)




				def 							A__      (						self					:						List[str]						):
							lowercase__					  =				"I was born in 92000, and this is falsé."
							lowercase__					  =				["▁i", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
							# fmt: on

							lowercase__					  =				DebertaVaTokenizer(_lowerCAmelCase,					do_lower_case=_lowerCAmelCase,					split_by_punct=_lowerCAmelCase						)
							lowercase__					  =				tokenizer.convert_ids_to_tokens(tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)

							lowercase__					  =				DebertaVaTokenizerFast(_lowerCAmelCase,					do_lower_case=_lowerCAmelCase,					split_by_punct=_lowerCAmelCase						)
							lowercase__					  =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)




				def 							A__      (						self					:						int						):
							lowercase__					  =				"I was born in 92000, and this is falsé."
							lowercase__					  =				["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", ".", ]
							# fmt: on

							lowercase__					  =				DebertaVaTokenizer(_lowerCAmelCase,					do_lower_case=_lowerCAmelCase,					split_by_punct=_lowerCAmelCase						)
							lowercase__					  =				tokenizer.convert_ids_to_tokens(tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)

							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)

							lowercase__					  =				DebertaVaTokenizerFast(_lowerCAmelCase,					do_lower_case=_lowerCAmelCase,					split_by_punct=_lowerCAmelCase						)
							lowercase__					  =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)

							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)




				def 							A__      (						self					:						Tuple						):
							lowercase__					  =				"I was born in 92000, and this is falsé."
							lowercase__					  =				["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
							# fmt: on

							lowercase__					  =				DebertaVaTokenizer(_lowerCAmelCase,					do_lower_case=_lowerCAmelCase,					split_by_punct=_lowerCAmelCase						)
							lowercase__					  =				tokenizer.convert_ids_to_tokens(tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)

							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)

							lowercase__					  =				DebertaVaTokenizerFast(_lowerCAmelCase,					do_lower_case=_lowerCAmelCase,					split_by_punct=_lowerCAmelCase						)
							lowercase__					  =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)

							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)




				def 							A__      (						self					:						Tuple						):
							lowercase__					  =				" \tHeLLo!how  \n Are yoU?  "
							lowercase__					  =				["▁", "<unk>", "e", "<unk>", "o", "!", "how", "▁", "<unk>", "re", "▁yo", "<unk>", "?"]
							# fmt: on

							lowercase__					  =				DebertaVaTokenizer(_lowerCAmelCase,					do_lower_case=_lowerCAmelCase,					split_by_punct=_lowerCAmelCase						)
							lowercase__					  =				tokenizer.convert_ids_to_tokens(tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)

							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)

							lowercase__					  =				DebertaVaTokenizerFast(_lowerCAmelCase,					do_lower_case=_lowerCAmelCase,					split_by_punct=_lowerCAmelCase						)
							lowercase__					  =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)

							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)




				def 							A__      (						self					:						Optional[int]						):
							lowercase__					  =				self.get_tokenizer()
							lowercase__					  =				self.get_rust_tokenizer()

							lowercase__					  =				"I was born in 92000, and this is falsé."

							lowercase__					  =				tokenizer.convert_ids_to_tokens(tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)
							lowercase__					  =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)

							lowercase__					  =				tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)
							lowercase__					  =				rust_tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)

							lowercase__					  =				self.get_rust_tokenizer()
							lowercase__					  =				tokenizer.encode(_lowerCAmelCase						)
							lowercase__					  =				rust_tokenizer.encode(_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)




				def 							A__      (						self					:						Dict						):
							lowercase__					  =				"This is a test"
							lowercase__					  =				[13, 1, 4398, 25, 21, 1289]
							lowercase__					  =				["▁", "T", "his", "▁is", "▁a", "▁test"]
							lowercase__					  =				["▁", "<unk>", "his", "▁is", "▁a", "▁test"]

							lowercase__					  =				DebertaVaTokenizer(_lowerCAmelCase,					keep_accents=_lowerCAmelCase						)
							lowercase__					  =				DebertaVaTokenizerFast(_lowerCAmelCase,					keep_accents=_lowerCAmelCase						)

							lowercase__					  =				tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)
							lowercase__					  =				tokenizer.tokenize(_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)
							lowercase__					  =				tokenizer.convert_ids_to_tokens(_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)

							lowercase__					  =				rust_tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)
							lowercase__					  =				rust_tokenizer.tokenize(_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)
							lowercase__					  =				rust_tokenizer.convert_ids_to_tokens(_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)

							# fmt: off
							lowercase__					  =				"I was born in 92000, and this is falsé."
							lowercase__					  =				[13, 1, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]
							lowercase__					  =				["▁", "I", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", ".", ]
							lowercase__					  =				["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", ".", ]
							# fmt: on

							lowercase__					  =				tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)
							lowercase__					  =				tokenizer.tokenize(_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)
							lowercase__					  =				tokenizer.convert_ids_to_tokens(_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)

							lowercase__					  =				rust_tokenizer.encode(_lowerCAmelCase,					add_special_tokens=_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)
							lowercase__					  =				rust_tokenizer.tokenize(_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)
							lowercase__					  =				rust_tokenizer.convert_ids_to_tokens(_lowerCAmelCase						)
							self.assertListEqual(_lowerCAmelCase,					_lowerCAmelCase						)




				def 							A__      (						self					:						Union[str, Any]						):
							lowercase__					  =				DebertaVaTokenizer(_lowerCAmelCase						)

							lowercase__					  =				tokenizer.encode("sequence builders"						)
							lowercase__					  =				tokenizer.encode("multi-sequence build"						)

							lowercase__					  =				tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase						)
							lowercase__					  =				tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase,					_lowerCAmelCase						)

							self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id],					_lowerCAmelCase						)
							self.assertEqual(
							    [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id],					_lowerCAmelCase,					)




				@slow
				def 							A__      (						self					:						Optional[Any]						):
							lowercase__					  =				{"input_ids": [[1, 3_9867, 36, 1_9390, 486, 27, 3_5052, 8_1436, 18, 6_0685, 1225, 7, 3_5052, 8_1436, 18, 9367, 1_6899, 18, 1_5937, 53, 594, 773, 18, 1_6287, 3_0465, 36, 1_5937, 6, 4_1139, 38, 3_6979, 6_0763, 191, 6, 3_4132, 99, 6, 5_0538, 390, 4_3230, 6, 3_4132, 2779, 2_0850, 14, 699, 1072, 1194, 36, 382, 1_0901, 53, 7, 699, 1072, 2084, 36, 2_0422, 630, 53, 19, 105, 3049, 1896, 1053, 1_6899, 1506, 11, 3_7978, 4243, 7, 1237, 3_1869, 200, 1_6566, 654, 6, 3_5052, 8_1436, 7, 5_5630, 1_3593, 4, 2], [1, 26, 1_5011, 13, 667, 8, 1053, 18, 2_3611, 1237, 7_2356, 1_2820, 34, 10_4134, 1209, 35, 1_3313, 6627, 21, 202, 347, 7, 164, 2399, 11, 46, 4485, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 5, 1232, 2864, 1_5785, 1_4951, 105, 5, 8581, 1250, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "token_type_ids": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
							# fmt: on

							self.tokenizer_integration_test_util(
							    expected_encoding=_lowerCAmelCase,					model_name="microsoft/deberta-v2-xlarge",					revision="ad6e42c1532ddf3a15c39246b63f5559d558b670",					)









import argparse
import json
from pathlib import Path

import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm import create_model
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform

from transformers import BitConfig, BitForImageClassification, BitImageProcessor
from transformers.image_utils import PILImageResampling
from transformers.utils import logging


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



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			lowercase__					  =				"huggingface/label-files"
			lowercase__					  =				"imagenet-1k-id2label.json"
			lowercase__					  =				json.load(open(hf_hub_download(SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_						,  repo_type="dataset"  )						,  "r"  )  )
			lowercase__					  =				{int(SCREAMING_SNAKE_CASE_  ): v for k, v in idalabel.items()}
			lowercase__					  =				{v: k for k, v in idalabel.items()}

			lowercase__					  =				"std_conv" if "bit" in model_name else False

			# note that when using BiT as backbone for ViT-hybrid checkpoints,
			# one needs to additionally set config.layer_type = "bottleneck", config.stem_type = "same",
			# config.conv_layer = "std_conv_same"
			lowercase__					  =				BitConfig(
			    conv_layer=SCREAMING_SNAKE_CASE_						,  num_labels=1000						,  idalabel=SCREAMING_SNAKE_CASE_						,  labelaid=SCREAMING_SNAKE_CASE_						,  )

			return config



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			if "stem.conv" in name:
						lowercase__					  =				name.replace("stem.conv"						,  "bit.embedder.convolution"  )
			if "blocks" in name:
						lowercase__					  =				name.replace("blocks"						,  "layers"  )
			if "head.fc" in name:
						lowercase__					  =				name.replace("head.fc"						,  "classifier.1"  )
			if name.startswith("norm"  ):
						lowercase__					  =				"bit." + name
			if "bit" not in name and "classifier" not in name:
						lowercase__					  =				"bit.encoder." + name

			return name



def __lowerCAmelCase (     ):
			lowercase__					  =				"http://images.cocodataset.org/val2017/000000039769.jpg"
			lowercase__					  =				Image.open(requests.get(SCREAMING_SNAKE_CASE_						,  stream=SCREAMING_SNAKE_CASE_  ).raw  )
			return im



@torch.no_grad()
def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_=False  ):
			lowercase__					  =				get_config(SCREAMING_SNAKE_CASE_  )

			# load original model from timm
			lowercase__					  =				create_model(SCREAMING_SNAKE_CASE_						,  pretrained=SCREAMING_SNAKE_CASE_  )
			timm_model.eval()

			# load state_dict of original model
			lowercase__					  =				timm_model.state_dict()
			for key in state_dict.copy().keys():
						lowercase__					  =				state_dict.pop(SCREAMING_SNAKE_CASE_  )
						lowercase__					  =				val.squeeze() if "head" in key else val

			# load HuggingFace model
			lowercase__					  =				BitForImageClassification(SCREAMING_SNAKE_CASE_  )
			model.eval()
			model.load_state_dict(SCREAMING_SNAKE_CASE_  )

			# create image processor
			lowercase__					  =				create_transform(**resolve_data_config({}						,  model=SCREAMING_SNAKE_CASE_  )  )
			lowercase__					  =				transform.transforms

			lowercase__					  =				{
			    "bilinear": PILImageResampling.BILINEAR,
			    "bicubic": PILImageResampling.BICUBIC,
			    "nearest": PILImageResampling.NEAREST,
			}

			lowercase__					  =				BitImageProcessor(
			    do_resize=SCREAMING_SNAKE_CASE_						,  size={"shortest_edge": timm_transforms[0].size}						,  resample=pillow_resamplings[timm_transforms[0].interpolation.value]						,  do_center_crop=SCREAMING_SNAKE_CASE_						,  crop_size={"height": timm_transforms[1].size[0], "width": timm_transforms[1].size[1]}						,  do_normalize=SCREAMING_SNAKE_CASE_						,  image_mean=timm_transforms[-1].mean.tolist()						,  image_std=timm_transforms[-1].std.tolist()						,  )

			lowercase__					  =				prepare_img()
			lowercase__					  =				transform(SCREAMING_SNAKE_CASE_  ).unsqueeze(0  )
			lowercase__					  =				processor(SCREAMING_SNAKE_CASE_						,  return_tensors="pt"  ).pixel_values

			# verify pixel values
			assert torch.allclose(SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_  )

			# verify logits
			with torch.no_grad():
						lowercase__					  =				model(SCREAMING_SNAKE_CASE_  )
						lowercase__					  =				outputs.logits

			print("Logits:"						,  logits[0, :3]  )
			print("Predicted class:"						,  model.config.idalabel[logits.argmax(-1  ).item()]  )
			lowercase__					  =				timm_model(SCREAMING_SNAKE_CASE_  )
			assert timm_logits.shape == outputs.logits.shape
			assert torch.allclose(SCREAMING_SNAKE_CASE_						,  outputs.logits						,  atol=1e-3  )
			print("Looks ok!"  )

			if pytorch_dump_folder_path is not None:
						Path(SCREAMING_SNAKE_CASE_  ).mkdir(exist_ok=SCREAMING_SNAKE_CASE_  )
						print(f'''Saving model {model_name} and processor to {pytorch_dump_folder_path}'''  )
						model.save_pretrained(SCREAMING_SNAKE_CASE_  )
						processor.save_pretrained(SCREAMING_SNAKE_CASE_  )

			if push_to_hub:
						print(f'''Pushing model {model_name} and processor to the hub'''  )
						model.push_to_hub(f'''ybelkada/{model_name}'''  )
						processor.push_to_hub(f'''ybelkada/{model_name}'''  )


if __name__ == "__main__":
							lowercase_								=     argparse.ArgumentParser()
							# Required parameters
							parser.add_argument(
							    """--model_name""",
							    default="""resnetv2_50x1_bitm""",
							    type=str,
							    help="""Name of the BiT timm model you'd like to convert.""",
							)
							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 to push the model to the hub.""",
							)

							lowercase_								=     parser.parse_args()
							convert_bit_checkpoint(args.model_name, args.pytorch_dump_folder_path, args.push_to_hub)




