





import argparse

import torch

from transformers import BlenderbotConfig, BlenderbotForConditionalGeneration
from transformers.utils import logging


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

UpperCamelCase__											= [
    ["attention", "attn"],
    ["encoder_attention", "encoder_attn"],
    ["q_lin", "q_proj"],
    ["k_lin", "k_proj"],
    ["v_lin", "v_proj"],
    ["out_lin", "out_proj"],
    ["norm_embeddings", "layernorm_embedding"],
    ["position_embeddings", "embed_positions"],
    ["embeddings", "embed_tokens"],
    ["ffn.lin", "fc"],
]





def     _UpperCamelCase     (a__   :str       ):






							"""simple docstring"""





							if k == "embeddings.weight":
														return "shared.weight"

							for parlai_name, hf_name in PATTERNS:
														UpperCamelCase__				     =			k.replace(a__   ,			a__       )

							if k.startswith("""encoder"""       ):
														UpperCamelCase__				     =			k.replace(""".attn"""   ,			""".self_attn"""       )
														UpperCamelCase__				     =			k.replace("""norm1"""   ,			"""self_attn_layer_norm"""       )
														UpperCamelCase__				     =			k.replace("""norm2"""   ,			"""final_layer_norm"""       )
							elif k.startswith("""decoder"""       ):
														UpperCamelCase__				     =			k.replace("""norm1"""   ,			"""self_attn_layer_norm"""       )
														UpperCamelCase__				     =			k.replace("""norm2"""   ,			"""encoder_attn_layer_norm"""       )
														UpperCamelCase__				     =			k.replace("""norm3"""   ,			"""final_layer_norm"""       )
							return k





def     _UpperCamelCase     (a__   :Any       ):






							"""simple docstring"""





							UpperCamelCase__				     =			[
							    """model.encoder.layernorm_embedding.weight""",
							    """model.encoder.layernorm_embedding.bias""",
							    """model.decoder.layernorm_embedding.weight""",
							    """model.decoder.layernorm_embedding.bias""",
							]
							for k in keys:
														UpperCamelCase__				     =			sd.pop(a__       )
														UpperCamelCase__				     =			k.replace("""layernorm_embedding"""   ,			"""layer_norm"""       )
														assert new_k not in sd
														UpperCamelCase__				     =			v


UpperCamelCase__											= ["START"]





@torch.no_grad()
def     _UpperCamelCase     (a__   :List[Any]   ,			a__   :Dict   ,			a__   :str       ):






							"""simple docstring"""





							UpperCamelCase__				     =			torch.load(a__   ,			map_location="""cpu"""       )
							UpperCamelCase__				     =			model["""model"""]
							UpperCamelCase__				     =			BlenderbotConfig.from_json_file(a__       )
							UpperCamelCase__				     =			BlenderbotForConditionalGeneration(a__       )
							UpperCamelCase__				     =			m.model.state_dict().keys()
							UpperCamelCase__				     =			[]
							UpperCamelCase__				     =			{}
							for k, v in sd.items():
														if k in IGNORE_KEYS:
																					continue

														UpperCamelCase__				     =			rename_state_dict_key(a__       )
														if new_k not in valid_keys:
																					failures.append([k, new_k]       )
														else:
																					UpperCamelCase__				     =			v
							if cfg.normalize_before:  # Blenderbot-3B checkpoints. Rename layernorm_embedding -> layer_norm
														rename_layernorm_keys(a__       )
							m.model.load_state_dict(a__   ,			strict=a__       )
							m.half()
							m.save_pretrained(a__       )


if __name__ == "__main__":
					UpperCamelCase__											= argparse.ArgumentParser()
					# Required parameters
					parser.add_argument("--src_path", type=str, help="like blenderbot-model.bin")
					parser.add_argument("--save_dir", default="hf_blenderbot", type=str, help="Where to save converted model.")
					parser.add_argument(
					    "--hf_config_json", default="blenderbot-3b-config.json", type=str, help="Path to config to use"
					)
					UpperCamelCase__											= parser.parse_args()
					convert_parlai_checkpoint(args.src_path, args.save_dir, args.hf_config_json)









import inspect
import unittest

class        __SCREAMING_SNAKE_CASE					(     unittest.TestCase       ):






							def 				_lowerCamelCase		(						self  ):
														try:
																					import diffusers  # noqa: F401
														except ImportError:
																					assert False







							def 				_lowerCamelCase		(						self  ):
														import diffusers
														from diffusers.dependency_versions_table import deps

														UpperCamelCase__				     =			inspect.getmembers(__lowerCAmelCase  , inspect.isclass  )

														for cls_name, cls_module in all_classes:
																					if "dummy_" in cls_module.__module__:
																												for backend in cls_module._backends:
																																			if backend == "k_diffusion":
																																										UpperCamelCase__				     =			"""k-diffusion"""
																																			elif backend == "invisible_watermark":
																																										UpperCamelCase__				     =			"""invisible-watermark"""
																																			assert backend in deps, f"""{backend} is not in the deps table!"""




