





'''simple docstring'''




# Copyright 2022 The HuggingFace 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 argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


__SCREAMING_SNAKE_CASE     :Any       =				'''Run commands across TPU VMs for initial setup before running `accelerate launch`.'''
def 	UpperCAmelCase_							(					__lowercase							:      Optional[int]=None       )		->       List[str]:


     '''simple docstring'''



     if subparsers is not None:
          _UpperCAmelCase     							=   subparsers.add_parser("tpu-config"			,     description=_description       )
     else:
          _UpperCAmelCase     							=   argparse.ArgumentParser("Accelerate tpu-config command"			,     description=_description       )
     # Core arguments
     _UpperCAmelCase     							=   parser.add_argument_group(
         "Config Arguments"			,     "Arguments that can be configured through `accelerate config`."       )
     config_args.add_argument(
         "--config_file"			,     type=__lowercase			,     default=__lowercase			,     help="Path to the config file to use for accelerate."			,     )
     config_args.add_argument(
         "--tpu_name"			,     default=__lowercase			,     help="The name of the TPU to use. If not specified, will use the TPU specified in the config file."			,     )
     config_args.add_argument(
         "--tpu_zone"			,     default=__lowercase			,     help="The zone of the TPU to use. If not specified, will use the zone specified in the config file."			,     )
     _UpperCAmelCase     							=   parser.add_argument_group("TPU Arguments"			,     "Arguments for options ran inside the TPU."       )
     pod_args.add_argument(
         "--use_alpha"			,     action="store_true"			,     help="Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`."			,     )
     pod_args.add_argument(
         "--command_file"			,     default=__lowercase			,     help="The path to the file containing the commands to run on the pod on startup."			,     )
     pod_args.add_argument(
         "--command"			,     action="append"			,     nargs="+"			,     help="A command to run on the pod. Can be passed multiple times."			,     )
     pod_args.add_argument(
         "--install_accelerate"			,     action="store_true"			,     help="Whether to install accelerate on the pod. Defaults to False."			,     )
     pod_args.add_argument(
         "--accelerate_version"			,     default="latest"			,     help="The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify 'dev' to install from GitHub."			,     )
     pod_args.add_argument(
         "--debug"			,     action="store_true"			,     help="If set, will print the command that would be run instead of running it."       )

     if subparsers is not None:
          parser.set_defaults(func=__lowercase       )
     return parser
def 	UpperCAmelCase_							(					__lowercase							:      str       )		->       Union[str, Any]:


     '''simple docstring'''



     _UpperCAmelCase     							=   None

     # Get the default from the config file if it exists.
     if args.config_file is not None or os.path.isfile(__lowercase       ):
          _UpperCAmelCase     							=   load_config_from_file(args.config_file       )
          if not args.command_file and defaults.command_file is not None and not args.command:
               _UpperCAmelCase     							=   defaults.command_file
          if not args.command and defaults.commands is not None:
               _UpperCAmelCase     							=   defaults.commands
          if not args.tpu_name:
               _UpperCAmelCase     							=   defaults.tpu_name
          if not args.tpu_zone:
               _UpperCAmelCase     							=   defaults.tpu_zone
     if args.accelerate_version == "dev":
          _UpperCAmelCase     							=   "git+https://github.com/huggingface/accelerate.git"
     elif args.accelerate_version == "latest":
          _UpperCAmelCase     							=   "accelerate -U"
     elif isinstance(parse(args.accelerate_version       )			,     __lowercase       ):
          _UpperCAmelCase     							=   f'accelerate=={args.accelerate_version}'

     if not args.command_file and not args.command:
          raise ValueError("You must specify either a command file or a command to run on the pod."       )

     if args.command_file:
          with open(args.command_file			,     "r"       ) as f:
               _UpperCAmelCase     							=   [f.read().splitlines()]

    # To turn list of lists into list of strings
     if isinstance(args.command[0]			,     __lowercase       ):
          _UpperCAmelCase     							=   [line for cmd in args.command for line in cmd]
     # Default to the shared folder and install accelerate
     _UpperCAmelCase     							=   ["cd /usr/share"]
     if args.install_accelerate:
          new_cmd += [f'pip install {args.accelerate_version}']
     new_cmd += args.command
     _UpperCAmelCase     							=   "; ".join(__lowercase       )

     # Then send it to gcloud
     # Eventually try to use google-api-core to do this instead of subprocess
     _UpperCAmelCase     							=   ["gcloud"]
     if args.use_alpha:
          cmd += ["alpha"]
     cmd += [
         "compute",
         "tpus",
         "tpu-vm",
         "ssh",
         args.tpu_name,
         "--zone",
         args.tpu_zone,
         "--command",
         args.command,
         "--worker",
         "all",
     ]
     if args.debug:
          print(f'Running {" ".join(__lowercase       )}'       )
          return
     subprocess.run(__lowercase       )
     print("Successfully setup pod."       )






def 	UpperCAmelCase_							(					)		->       str:


     '''simple docstring'''



     _UpperCAmelCase     							=   tpu_command_parser()
     _UpperCAmelCase     							=   parser.parse_args()

     tpu_command_launcher(__lowercase       )












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


UpperCAmelCase__				   =		logging.get_logger(__name__)

UpperCAmelCase__				   =		{}






class 		lowercase_					(	lowercase   ):






      '''simple docstring'''




      __snake_case       =  '''llama'''
      __snake_case       =  ['''past_key_values''']







      def __init__(      self      :						Optional[Any] ,					__UpperCAmelCase      :						Union[str, Any]=32_000 ,					__UpperCAmelCase      :						str=4_096 ,					__UpperCAmelCase      :						int=11_008 ,					__UpperCAmelCase      :						Tuple=32 ,					__UpperCAmelCase      :						Optional[int]=32 ,					__UpperCAmelCase      :						List[str]=None ,					__UpperCAmelCase      :						Union[str, Any]="silu" ,					__UpperCAmelCase      :						Tuple=2_048 ,					__UpperCAmelCase      :						Optional[Any]=0.02 ,					__UpperCAmelCase      :						Any=1e-6 ,					__UpperCAmelCase      :						Union[str, Any]=True ,					__UpperCAmelCase      :						Optional[int]=0 ,					__UpperCAmelCase      :						Optional[int]=1 ,					__UpperCAmelCase      :						Optional[int]=2 ,					__UpperCAmelCase      :						Tuple=1 ,					__UpperCAmelCase      :						List[str]=False ,					__UpperCAmelCase      :						Tuple=None ,					**__UpperCAmelCase      :						Tuple ,					)    ->str:




       """simple docstring"""


       a		  =      vocab_size
       a		  =      max_position_embeddings
       a		  =      hidden_size
       a		  =      intermediate_size
       a		  =      num_hidden_layers
       a		  =      num_attention_heads

       # for backward compatibility
       if num_key_value_heads is None:
        a		  =      num_attention_heads

       a		  =      num_key_value_heads
       a		  =      hidden_act
       a		  =      initializer_range
       a		  =      rms_norm_eps
       a		  =      pretraining_tp
       a		  =      use_cache
       a		  =      rope_scaling
       self._rope_scaling_validation()

       super().__init__(
           pad_token_id=__UpperCAmelCase ,					bos_token_id=__UpperCAmelCase ,					eos_token_id=__UpperCAmelCase ,					tie_word_embeddings=__UpperCAmelCase ,					**__UpperCAmelCase ,					)







      def       __lowerCAmelCase					(      self      :						Tuple  )    ->Tuple:




       """simple docstring"""


       if self.rope_scaling is None:
        return

       if not isinstance(self.rope_scaling ,					__UpperCAmelCase  ) or len(self.rope_scaling  ) != 2:
        raise ValueError(
            '''`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '''
            F"""got {self.rope_scaling}"""  )
       a		  =      self.rope_scaling.get('''type''' ,					__UpperCAmelCase  )
       a		  =      self.rope_scaling.get('''factor''' ,					__UpperCAmelCase  )
       if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
        raise ValueError(
            F"""`rope_scaling`'s name field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"""  )
       if rope_scaling_factor is None or not isinstance(__UpperCAmelCase ,					__UpperCAmelCase  ) or rope_scaling_factor <= 1.0:
        raise ValueError(F"""`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"""  )


