





import argparse
import json
import os

import torch
from transformers.file_utils import has_file

from diffusers import UNetaDConditionModel, UNetaDModel


UpperCAmelCase_           =	False
UpperCAmelCase_           =	True
UpperCAmelCase_           =	False


if __name__ == "__main__":
   UpperCAmelCase_           =	argparse.ArgumentParser()

   parser.add_argument(
       "--repo_path",
       default=None,
       type=str,
       required=True,
       help="The config json file corresponding to the architecture.",
   )

   parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the output model.")

   UpperCAmelCase_           =	parser.parse_args()

   UpperCAmelCase_           =	{
       "image_size": "sample_size",
       "num_res_blocks": "layers_per_block",
       "block_channels": "block_out_channels",
       "down_blocks": "down_block_types",
       "up_blocks": "up_block_types",
       "downscale_freq_shift": "freq_shift",
       "resnet_num_groups": "norm_num_groups",
       "resnet_act_fn": "act_fn",
       "resnet_eps": "norm_eps",
       "num_head_channels": "attention_head_dim",
   }

   UpperCAmelCase_           =	{
       "time_steps": "time_proj",
       "mid": "mid_block",
       "downsample_blocks": "down_blocks",
       "upsample_blocks": "up_blocks",
   }

   UpperCAmelCase_           =	"" if has_file(args.repo_path, "config.json") else "unet"

   with open(os.path.join(args.repo_path, subfolder, "config.json"), "r", encoding="utf-8") as reader:
      UpperCAmelCase_           =	reader.read()
      UpperCAmelCase_           =	json.loads(text)

   if do_only_config:
      for key in config_parameters_to_change.keys():
         config.pop(key, None)

   if has_file(args.repo_path, "config.json"):
      UpperCAmelCase_           =	UNetaDModel(**config)
   else:
      UpperCAmelCase_           =	UNetaDConditionModel if "ldm-text2im-large-256" in args.repo_path else UNetaDModel
      UpperCAmelCase_           =	class_name(**config)

   if do_only_config:
      model.save_config(os.path.join(args.repo_path, subfolder))

   UpperCAmelCase_           =	dict(model.config)

   if do_only_renaming:
      for key, value in config_parameters_to_change.items():
         if key in config:
            UpperCAmelCase_           =	config[key]
            del config[key]

      UpperCAmelCase_           =	[k.replace("UNetRes", "") for k in config["down_block_types"]]
      UpperCAmelCase_           =	[k.replace("UNetRes", "") for k in config["up_block_types"]]

   if do_only_weights:
      UpperCAmelCase_           =	torch.load(os.path.join(args.repo_path, subfolder, "diffusion_pytorch_model.bin"))

      UpperCAmelCase_           =	{}
      for param_key, param_value in state_dict.items():
         if param_key.endswith(".op.bias") or param_key.endswith(".op.weight"):
            continue
         UpperCAmelCase_           =	False
         for key, new_key in key_parameters_to_change.items():
            if not has_changed and param_key.split(".")[0] == key:
               UpperCAmelCase_           =	param_value
               UpperCAmelCase_           =	True
         if not has_changed:
            UpperCAmelCase_           =	param_value

      model.load_state_dict(new_state_dict)
      model.save_pretrained(os.path.join(args.repo_path, subfolder))



def 							__lowerCamelCase		(					UpperCAmelCase_		:						int					,    UpperCAmelCase_		:						int		):




      """simple docstring"""





      if b == 0:
            return 1
      if (b % 2) == 0:
            return actual_power(UpperCAmelCase_					,    int(b / 2		)		) * actual_power(UpperCAmelCase_					,    int(b / 2		)		)
      else:
            return a * actual_power(UpperCAmelCase_					,    int(b / 2		)		) * actual_power(UpperCAmelCase_					,    int(b / 2		)		)
def 							__lowerCamelCase		(					UpperCAmelCase_		:						int					,    UpperCAmelCase_		:						int		):




      """simple docstring"""





      if b < 0:
            return 1 / actual_power(UpperCAmelCase_					,    UpperCAmelCase_		)
      return actual_power(UpperCAmelCase_					,    UpperCAmelCase_		)


if __name__ == "__main__":
     print(power(-2, -3))





