


# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import copy
import importlib.metadata
import json
import os
from dataclasses import dataclass
from typing import Any, Dict, Union

from packaging import version

from ..utils import is_torch_available, logging


if is_torch_available():
 import torch


__a     =			logging.get_logger(__name__)






@dataclass
class   __lowercase				:





      def __init__(		self						:					Union[str, Any]					,       __lowerCamelCase						:					str=False					,       __lowerCamelCase						:					Optional[Any]=False					,       __lowerCamelCase						:					List[Any]=6.0					,       __lowerCamelCase						:					int=None					,       __lowerCamelCase						:					Dict=False					,       __lowerCamelCase						:					Union[str, Any]=False					,       __lowerCamelCase						:					Any=None					,       __lowerCamelCase						:					Tuple="fp4"					,       __lowerCamelCase						:					List[str]=False					,       **__lowerCamelCase						:					Any					,       )    ->   Dict:






         """simple docstring"""







         UpperCAmelCase							=     load_in_abit
         UpperCAmelCase							=     load_in_abit
         UpperCAmelCase							=     llm_inta_threshold
         UpperCAmelCase							=     llm_inta_skip_modules
         UpperCAmelCase							=     llm_inta_enable_fpaa_cpu_offload
         UpperCAmelCase							=     llm_inta_has_fpaa_weight
         UpperCAmelCase							=     bnb_abit_quant_type
         UpperCAmelCase							=     bnb_abit_use_double_quant

         if bnb_abit_compute_dtype is None:
            UpperCAmelCase							=     torch.floataa
         elif isinstance(_lowerCAmelCase					,       _lowerCAmelCase       ):
            UpperCAmelCase							=     getattr(_lowerCAmelCase					,       _lowerCAmelCase       )
         elif isinstance(_lowerCAmelCase					,       torch.dtype       ):
            UpperCAmelCase							=     bnb_abit_compute_dtype
         else:
            raise ValueError("""bnb_4bit_compute_dtype must be a string or a torch.dtype"""       )

         self.post_init()





      def        _lowercase				(		self						:					Union[str, Any]       )    ->   Optional[int]:






         """simple docstring"""







         if not isinstance(self.llm_inta_threshold					,       _lowerCAmelCase       ):
            raise ValueError("""llm_int8_threshold must be a float"""       )

         if self.llm_inta_skip_modules is not None and not isinstance(self.llm_inta_skip_modules					,       _lowerCAmelCase       ):
            raise ValueError("""llm_int8_skip_modules must be a list of strings"""       )
         if not isinstance(self.llm_inta_enable_fpaa_cpu_offload					,       _lowerCAmelCase       ):
            raise ValueError("""llm_int8_enable_fp32_cpu_offload must be a boolean"""       )

         if not isinstance(self.llm_inta_has_fpaa_weight					,       _lowerCAmelCase       ):
            raise ValueError("""llm_int8_has_fp16_weight must be a boolean"""       )

         if self.bnb_abit_compute_dtype is not None and not isinstance(self.bnb_abit_compute_dtype					,       torch.dtype       ):
            raise ValueError("""bnb_4bit_compute_dtype must be torch.dtype"""       )

         if not isinstance(self.bnb_abit_quant_type					,       _lowerCAmelCase       ):
            raise ValueError("""bnb_4bit_quant_type must be a string"""       )

         if not isinstance(self.bnb_abit_use_double_quant					,       _lowerCAmelCase       ):
            raise ValueError("""bnb_4bit_use_double_quant must be a boolean"""       )

         if self.load_in_abit and not version.parse(importlib.metadata.version("""bitsandbytes"""       )       ) >= version.parse(
             """0.39.0"""       ):
            raise ValueError(
                """4 bit quantization requires bitsandbytes>=0.39.0 - please upgrade your bitsandbytes version"""       )





      def        _lowercase				(		self						:					Tuple       )    ->   Dict:






         """simple docstring"""







         return self.load_in_abit or self.load_in_abit





      def        _lowercase				(		self						:					Optional[int]       )    ->   Tuple:






         """simple docstring"""







         if self.load_in_abit:
            return "llm_int8"
         elif self.load_in_abit and self.bnb_abit_quant_type == "fp4":
            return "fp4"
         elif self.load_in_abit and self.bnb_abit_quant_type == "nf4":
            return "nf4"
         else:
            return None





      @classmethod
      def        _lowercase				(		cls						:					Dict					,       __lowerCamelCase						:					Optional[Any]					,       __lowerCamelCase						:					int					,       **__lowerCamelCase						:					List[str]       )    ->   str:






         """simple docstring"""







         UpperCAmelCase							=     cls(**_lowerCAmelCase       )

         UpperCAmelCase							=     []
         for key, value in kwargs.items():
            if hasattr(_lowerCAmelCase					,       _lowerCAmelCase       ):
               setattr(_lowerCAmelCase					,       _lowerCAmelCase					,       _lowerCAmelCase       )
               to_remove.append(_lowerCAmelCase       )
         for key in to_remove:
            kwargs.pop(_lowerCAmelCase					,       _lowerCAmelCase       )

         if return_unused_kwargs:
            return config, kwargs
         else:
            return config





      def        _lowercase				(		self						:					Union[str, Any]					,       __lowerCamelCase						:					Union[str, os.PathLike]       )    ->   Tuple:






         """simple docstring"""







         with open(_lowerCAmelCase					,       """w"""					,       encoding="""utf-8"""       ) as writer:
            UpperCAmelCase							=     self.to_dict()
            UpperCAmelCase							=     json.dumps(_lowerCAmelCase					,       indent=2					,       sort_keys=_lowerCAmelCase       ) + """\n"""

            writer.write(_lowerCAmelCase       )





      def        _lowercase				(		self						:					List[str]       )    ->   Dict[str, Any]:






         """simple docstring"""







         UpperCAmelCase							=     copy.deepcopy(self.__dict__       )
         UpperCAmelCase							=     str(output["""bnb_4bit_compute_dtype"""]       ).split("""."""       )[1]

         return output





      def __repr__(		self						:					int       )    ->   List[str]:






         """simple docstring"""







         return F"""{self.__class__.__name__} {self.to_json_string()}"""





      def        _lowercase				(		self						:					List[Any]					,       __lowerCamelCase						:					bool = True       )    ->   str:






         """simple docstring"""







         if use_diff is True:
            UpperCAmelCase							=     self.to_diff_dict()
         else:
            UpperCAmelCase							=     self.to_dict()
         return json.dumps(_lowerCAmelCase					,       indent=2					,       sort_keys=_lowerCAmelCase       ) + "\n"





      def        _lowercase				(		self						:					str       )    ->   Dict[str, Any]:






         """simple docstring"""







         UpperCAmelCase							=     self.to_dict()

         # get the default config dict
         UpperCAmelCase							=     BitsAndBytesConfig().to_dict()

         UpperCAmelCase							=     {}

         # only serialize values that differ from the default config
         for key, value in config_dict.items():
            if value != default_config_dict[key]:
               UpperCAmelCase							=     value

         return serializable_config_dict







from ...configuration_utils import PretrainedConfig
from ...utils import logging


__a     =			logging.get_logger(__name__)

__a     =			{"""ctrl""": """https://huggingface.co/ctrl/resolve/main/config.json"""}






class   __lowercase				(  __snake_case  ):
      UpperCamelCase								=       '''ctrl'''
      UpperCamelCase								=       ['''past_key_values''']
      UpperCamelCase								=       {
          '''max_position_embeddings''': '''n_positions''',
          '''hidden_size''': '''n_embd''',
          '''num_attention_heads''': '''n_head''',
          '''num_hidden_layers''': '''n_layer''',
      }





      def __init__(		self						:					str					,       __lowerCamelCase						:					Optional[int]=2_4_6_5_3_4					,       __lowerCamelCase						:					Union[str, Any]=2_5_6					,       __lowerCamelCase						:					int=1_2_8_0					,       __lowerCamelCase						:					Optional[Any]=8_1_9_2					,       __lowerCamelCase						:					List[str]=4_8					,       __lowerCamelCase						:					Dict=1_6					,       __lowerCamelCase						:					Union[str, Any]=0.1					,       __lowerCamelCase						:					Union[str, Any]=0.1					,       __lowerCamelCase						:					Union[str, Any]=1e-6					,       __lowerCamelCase						:					str=0.02					,       __lowerCamelCase						:					Union[str, Any]=True					,       **__lowerCamelCase						:					List[str]					,       )    ->   Optional[Any]:






         """simple docstring"""







         UpperCAmelCase							=     vocab_size
         UpperCAmelCase							=     n_positions
         UpperCAmelCase							=     n_embd
         UpperCAmelCase							=     n_layer
         UpperCAmelCase							=     n_head
         UpperCAmelCase							=     dff
         UpperCAmelCase							=     resid_pdrop
         UpperCAmelCase							=     embd_pdrop
         UpperCAmelCase							=     layer_norm_epsilon
         UpperCAmelCase							=     initializer_range

         UpperCAmelCase							=     use_cache

         super().__init__(**__lowerCamelCase       )



