






'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase							       =			logging.get_logger(__name__)

lowercase							       =			{
    '''hustvl/yolos-small''': '''https://huggingface.co/hustvl/yolos-small/resolve/main/config.json''',
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}







class 	UpperCAmelCase	(		__a):


 '''simple docstring'''




 __magic_name__					: Optional[int]  =      "yolos"




 def __init__(   self							,  lowerCAmelCase_=7_6_8							,  lowerCAmelCase_=1_2							,  lowerCAmelCase_=1_2							,  lowerCAmelCase_=3_0_7_2							,  lowerCAmelCase_="gelu"							,  lowerCAmelCase_=0.0							,  lowerCAmelCase_=0.0							,  lowerCAmelCase_=0.0_2							,  lowerCAmelCase_=1e-12							,  lowerCAmelCase_=[5_1_2, 8_6_4]							,  lowerCAmelCase_=1_6							,  lowerCAmelCase_=3							,  lowerCAmelCase_=True							,  lowerCAmelCase_=1_0_0							,  lowerCAmelCase_=True							,  lowerCAmelCase_=False							,  lowerCAmelCase_=1							,  lowerCAmelCase_=5							,  lowerCAmelCase_=2							,  lowerCAmelCase_=5							,  lowerCAmelCase_=2							,  lowerCAmelCase_=0.1							,  **lowerCAmelCase_							,  ) ->      Dict:



      """simple docstring"""







      super().__init__(**lowerCAmelCase_)

      a_       		=hidden_size
      a_       		=num_hidden_layers
      a_       		=num_attention_heads
      a_       		=intermediate_size
      a_       		=hidden_act
      a_       		=hidden_dropout_prob
      a_       		=attention_probs_dropout_prob
      a_       		=initializer_range
      a_       		=layer_norm_eps
      a_       		=image_size
      a_       		=patch_size
      a_       		=num_channels
      a_       		=qkv_bias
      a_       		=num_detection_tokens
      a_       		=use_mid_position_embeddings
      a_       		=auxiliary_loss
      # Hungarian matcher
      a_       		=class_cost
      a_       		=bbox_cost
      a_       		=giou_cost
      # Loss coefficients
      a_       		=bbox_loss_coefficient
      a_       		=giou_loss_coefficient
      a_       		=eos_coefficient







class 	UpperCAmelCase	(		__a):


 '''simple docstring'''




 __magic_name__					: Tuple  =      version.parse("1.11")




 @property
 def       lowercase_  (   self) ->      Mapping[str, Mapping[int, str]]:



      """simple docstring"""







      return OrderedDict(
          [
              ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
          ])




 @property
 def       lowercase_  (   self) ->      float:



      """simple docstring"""







      return 1e-4




 @property
 def       lowercase_  (   self) ->      int:



      """simple docstring"""







      return 1_2







'''simple docstring'''


import torch

from diffusers import StableDiffusionPipeline


lowercase							       =			'''path-to-your-trained-model'''
lowercase							       =			StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.floataa).to('''cuda''')

lowercase							       =			'''A photo of sks dog in a bucket'''
lowercase							       =			pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]

image.save('''dog-bucket.png''')


