

'''simple docstring'''

import copy
import inspect
import unittest

from transformers import AutoBackbone
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import require_timm, require_torch, torch_device
from transformers.utils.import_utils import is_torch_available

from ...test_backbone_common import BackboneTesterMixin
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, floats_tensor


if is_torch_available():
       import torch

       from transformers import TimmBackbone, TimmBackboneConfig

from ...test_pipeline_mixin import PipelineTesterMixin


class 	lowerCAmelCase  :







       def __init__(				self      :			Any    ,   __lowercase      :			Optional[int]    ,   __lowercase      :			Tuple=None    ,   __lowercase      :			str=None    ,   __lowercase      :			Optional[int]=None    ,   __lowercase      :			List[str]="resnet50"    ,   __lowercase      :			List[Any]=3    ,   __lowercase      :			int=32    ,   __lowercase      :			List[str]=3    ,   __lowercase      :			Tuple=True    ,   __lowercase      :			Optional[int]=True    ,   ):







            """simple docstring"""







            __lowercase      		=parent
            __lowercase      		=out_indices if out_indices is not None else [4]
            __lowercase      		=stage_names
            __lowercase      		=out_features
            __lowercase      		=backbone
            __lowercase      		=batch_size
            __lowercase      		=image_size
            __lowercase      		=num_channels
            __lowercase      		=use_pretrained_backbone
            __lowercase      		=is_training







       def       snake_case (				self      :			Optional[int]   ):







            """simple docstring"""







            __lowercase      		=floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size]   )
            __lowercase      		=self.get_config()

            return config, pixel_values







       def       snake_case (				self      :			str   ):







            """simple docstring"""







            return TimmBackboneConfig(
                image_size=self.image_size    ,   num_channels=self.num_channels    ,   out_features=self.out_features    ,   out_indices=self.out_indices    ,   stage_names=self.stage_names    ,   use_pretrained_backbone=self.use_pretrained_backbone    ,   backbone=self.backbone    ,   )







       def       snake_case (				self      :			Union[str, Any]    ,   __lowercase      :			int    ,   __lowercase      :			List[str]   ):







            """simple docstring"""







            __lowercase      		=TimmBackbone(config=__lowercase   )
            model.to(__lowercase   )
            model.eval()
            with torch.no_grad():
                 __lowercase      		=model(__lowercase   )
            self.parent.assertEqual(
                result.feature_map[-1].shape    ,   (self.batch_size, model.channels[-1], 14, 14)    ,   )







       def       snake_case (				self      :			Union[str, Any]   ):







            """simple docstring"""







            __lowercase      		=self.prepare_config_and_inputs()
            __lowercase		,  __lowercase      		=config_and_inputs
            __lowercase      		={'pixel_values': pixel_values}
            return config, inputs_dict






@require_torch
@require_timm
class 	lowerCAmelCase  (   A ,      A ,      A ,      unittest.TestCase ):
       lowerCAmelCase_												=			(TimmBackbone,) if is_torch_available() else ()
       lowerCAmelCase_												=			{"feature-extraction": TimmBackbone} if is_torch_available() else {}
       lowerCAmelCase_												=			False
       lowerCAmelCase_												=			False
       lowerCAmelCase_												=			False
       lowerCAmelCase_												=			False







       def       snake_case (				self      :			List[str]   ):







            """simple docstring"""







            __lowercase      		=TimmBackboneModelTester(self   )
            __lowercase      		=ConfigTester(self    ,   config_class=__lowercase    ,   has_text_modality=__lowercase   )







       def       snake_case (				self      :			int   ):







            """simple docstring"""







            self.config_tester.create_and_test_config_to_json_string()
            self.config_tester.create_and_test_config_to_json_file()
            self.config_tester.create_and_test_config_from_and_save_pretrained()
            self.config_tester.create_and_test_config_with_num_labels()
            self.config_tester.check_config_can_be_init_without_params()
            self.config_tester.check_config_arguments_init()







       def       snake_case (				self      :			List[str]   ):







            """simple docstring"""







            __lowercase      		='resnet18'
            __lowercase      		='microsoft/resnet-18'

            __lowercase      		=AutoBackbone.from_pretrained(__lowercase    ,   use_timm_backbone=__lowercase   )
            __lowercase      		=AutoBackbone.from_pretrained(__lowercase   )

            self.assertEqual(len(timm_model.out_features   )    ,   len(transformers_model.out_features   )   )
            self.assertEqual(len(timm_model.stage_names   )    ,   len(transformers_model.stage_names   )   )
            self.assertEqual(timm_model.channels    ,   transformers_model.channels   )
            # Out indices are set to the last layer by default. For timm models, we don't know
            # the number of layers in advance, so we set it to (-1,), whereas for transformers
            # models, we set it to [len(stage_names) - 1] (kept for backward compatibility).
            self.assertEqual(timm_model.out_indices    ,   (-1,)   )
            self.assertEqual(transformers_model.out_indices    ,   [len(timm_model.stage_names   ) - 1]   )

            __lowercase      		=AutoBackbone.from_pretrained(__lowercase    ,   use_timm_backbone=__lowercase    ,   out_indices=[1, 2, 3]   )
            __lowercase      		=AutoBackbone.from_pretrained(__lowercase    ,   out_indices=[1, 2, 3]   )

            self.assertEqual(timm_model.out_indices    ,   transformers_model.out_indices   )
            self.assertEqual(len(timm_model.out_features   )    ,   len(transformers_model.out_features   )   )
            self.assertEqual(timm_model.channels    ,   transformers_model.channels   )







       @unittest.skip('TimmBackbone doesn\'t support feed forward chunking'   )
       def       snake_case (				self      :			Union[str, Any]   ):







            """simple docstring"""







            pass







       @unittest.skip('TimmBackbone doesn\'t have num_hidden_layers attribute'   )
       def       snake_case (				self      :			int   ):







            """simple docstring"""







            pass







       @unittest.skip('TimmBackbone initialization is managed on the timm side'   )
       def       snake_case (				self      :			Union[str, Any]   ):







            """simple docstring"""







            pass







       @unittest.skip('TimmBackbone models doesn\'t have inputs_embeds'   )
       def       snake_case (				self      :			Union[str, Any]   ):







            """simple docstring"""







            pass







       @unittest.skip('TimmBackbone models doesn\'t have inputs_embeds'   )
       def       snake_case (				self      :			Dict   ):







            """simple docstring"""







            pass







       @unittest.skip('TimmBackbone model cannot be created without specifying a backbone checkpoint'   )
       def       snake_case (				self      :			Optional[int]   ):







            """simple docstring"""







            pass







       @unittest.skip('Only checkpoints on timm can be loaded into TimmBackbone'   )
       def       snake_case (				self      :			Tuple   ):







            """simple docstring"""







            pass







       @unittest.skip('model weights aren\'t tied in TimmBackbone.'   )
       def       snake_case (				self      :			int   ):







            """simple docstring"""







            pass







       @unittest.skip('model weights aren\'t tied in TimmBackbone.'   )
       def       snake_case (				self      :			Union[str, Any]   ):







            """simple docstring"""







            pass







       @unittest.skip('Only checkpoints on timm can be loaded into TimmBackbone'   )
       def       snake_case (				self      :			List[Any]   ):







            """simple docstring"""







            pass







       @unittest.skip('Only checkpoints on timm can be loaded into TimmBackbone'   )
       def       snake_case (				self      :			Tuple   ):







            """simple docstring"""







            pass







       @unittest.skip('TimmBackbone doesn\'t have hidden size info in its configuration.'   )
       def       snake_case (				self      :			List[str]   ):







            """simple docstring"""







            pass







       @unittest.skip('TimmBackbone doesn\'t support output_attentions.'   )
       def       snake_case (				self      :			Union[str, Any]   ):







            """simple docstring"""







            pass







       @unittest.skip('Safetensors is not supported by timm.'   )
       def       snake_case (				self      :			List[Any]   ):







            """simple docstring"""







            pass







       @unittest.skip('Will be fixed soon by reducing the size of the model used for common tests.'   )
       def       snake_case (				self      :			Dict   ):







            """simple docstring"""







            pass







       def       snake_case (				self      :			Tuple   ):







            """simple docstring"""







            __lowercase		,  __lowercase      		=self.model_tester.prepare_config_and_inputs_for_common()

            for model_class in self.all_model_classes:
                 __lowercase      		=model_class(__lowercase   )
                 __lowercase      		=inspect.signature(model.forward   )
                 # signature.parameters is an OrderedDict => so arg_names order is deterministic
                 __lowercase      		=[*signature.parameters.keys()]

                 __lowercase      		=['pixel_values']
                 self.assertListEqual(arg_names[:1]    ,   __lowercase   )







       def       snake_case (				self      :			List[Any]   ):







            """simple docstring"""







            __lowercase		,  __lowercase      		=self.model_tester.prepare_config_and_inputs_for_common()
            __lowercase      		=True
            __lowercase      		=self.has_attentions

            # no need to test all models as different heads yield the same functionality
            __lowercase      		=self.all_model_classes[0]
            __lowercase      		=model_class(__lowercase   )
            model.to(__lowercase   )

            __lowercase      		=self._prepare_for_class(__lowercase    ,   __lowercase   )
            __lowercase      		=model(**__lowercase   )
            __lowercase      		=outputs[0][-1]

            # Encoder-/Decoder-only models
            __lowercase      		=outputs.hidden_states[0]
            hidden_states.retain_grad()

            if self.has_attentions:
                 __lowercase      		=outputs.attentions[0]
                 attentions.retain_grad()

            output.flatten()[0].backward(retain_graph=__lowercase   )

            self.assertIsNotNone(hidden_states.grad   )

            if self.has_attentions:
                 self.assertIsNotNone(attentions.grad   )







       def       snake_case (				self      :			Dict   ):







            """simple docstring"""







            __lowercase		,  __lowercase      		=self.model_tester.prepare_config_and_inputs_for_common()

            for model_class in self.all_model_classes:
                 __lowercase      		=model_class(__lowercase   )
                 model.to(__lowercase   )
                 model.eval()
                 __lowercase      		=model(**__lowercase   )

                 self.assertEqual(len(result.feature_maps   )    ,   len(config.out_indices   )   )
                 self.assertEqual(len(model.channels   )    ,   len(config.out_indices   )   )

                 # Check output of last stage is taken if out_features=None, out_indices=None
                 __lowercase      		=copy.deepcopy(__lowercase   )
                 __lowercase      		=None
                 __lowercase      		=model_class(__lowercase   )
                 model.to(__lowercase   )
                 model.eval()
                 __lowercase      		=model(**__lowercase   )

                 self.assertEqual(len(result.feature_maps   )    ,   1   )
                 self.assertEqual(len(model.channels   )    ,   1   )

                 # Check backbone can be initialized with fresh weights
                 __lowercase      		=copy.deepcopy(__lowercase   )
                 __lowercase      		=False
                 __lowercase      		=model_class(__lowercase   )
                 model.to(__lowercase   )
                 model.eval()
                 __lowercase      		=model(**__lowercase   )





'''simple docstring'''

import os
from collections.abc import Iterator

def 					__UpperCamelCase				(						lowercase__    :	str = "."			):






     '''simple docstring'''





     for dir_path, dir_names, filenames in os.walk(lowercase__			):
          __lowercase      		=[d for d in dir_names if d != 'scripts' and d[0] not in '._']
          for filename in filenames:
               if filename == "__init__.py":
                    continue
               if os.path.splitext(lowercase__			)[1] in (".py", ".ipynb"):
                    yield os.path.join(lowercase__,       lowercase__			).lstrip('./'			)

def 					__UpperCamelCase				(						lowercase__    :	Optional[Any]			):






     '''simple docstring'''





     return F'''{i * "  "}*''' if i else "\n##"

def 					__UpperCamelCase				(						lowercase__    :	str,       lowercase__    :	str			):






     '''simple docstring'''





     __lowercase      		=old_path.split(os.sep			)
     for i, new_part in enumerate(new_path.split(os.sep			)			):
          if (i + 1 > len(lowercase__			) or old_parts[i] != new_part) and new_part:
               print(F'''{md_prefix(lowercase__			)} {new_part.replace("_",       " "			).title()}'''			)
     return new_path

def 					__UpperCamelCase				(						lowercase__    :	str = "."			):






     '''simple docstring'''





     __lowercase      		=''
     for filepath in sorted(good_file_paths(lowercase__			)			):
          __lowercase		,  __lowercase      		=os.path.split(lowercase__			)
          if filepath != old_path:
               __lowercase      		=print_path(lowercase__,       lowercase__			)
          __lowercase      		=(filepath.count(os.sep			) + 1) if filepath else 0
          __lowercase      		=F'''{filepath}/{filename}'''.replace(' ',       '%20'			)
          __lowercase      		=os.path.splitext(filename.replace('_',       ' '			).title()			)[0]
          print(F'''{md_prefix(lowercase__			)} [{filename}]({url})'''			)


if __name__ == "__main__":
       print_directory_md('''.''')


