



"""simple docstring"""




import baseaa
import io
import json
import os
from copy import deepcopy

from ..optimizer import AcceleratedOptimizer
from ..scheduler import AcceleratedScheduler






class      UpperCAmelCase_  :



      def __init__(					self					:     List[Any]					,     A					:     List[str]						):
           if isinstance(A					,     A						):
                # Don't modify user's data should they want to reuse it (e.g. in tests), because once we
                # modified it, it will not be accepted here again, since `auto` values would have been overridden
                _UpperCAmelCase      :     Any        =   deepcopy(A						)
           elif os.path.exists(A						):
                with io.open(A					,     "r"					,     encoding="utf-8"						) as f:
                     _UpperCAmelCase      :     str        =   json.load(A						)
           else:
                try:
                     _UpperCAmelCase      :     Optional[int]        =   baseaa.urlsafe_baadecode(A						).decode("utf-8"						)
                     _UpperCAmelCase      :     List[str]        =   json.loads(A						)
                except (UnicodeDecodeError, AttributeError, ValueError):
                     raise ValueError(
                         f'Expected a string path to an existing deepspeed config, or a dictionary, or a base64 encoded string. Received: {config_file_or_dict}'						)

           _UpperCAmelCase      :     Union[str, Any]        =   config

           self.set_stage_and_offload()



      def 						snake_case_ (					self					:     int						):
           # zero stage - this is done as early as possible, before model is created, to allow
           # ``is_deepspeed_zero3_enabled`` query and getting to the early deepspeed config object
           # during ``zero.Init()`` which needs to know the dtype, and some other hparams.
           _UpperCAmelCase      :     Union[str, Any]        =   self.get_value("zero_optimization.stage"					,     -1						)

           # offload
           _UpperCAmelCase      :     Optional[int]        =   False
           if self.is_zeroa() or self.is_zeroa():
                _UpperCAmelCase      :     str        =   set(["cpu", "nvme"]						)
                _UpperCAmelCase      :     Optional[int]        =   set(
                    [
                        self.get_value("zero_optimization.offload_optimizer.device"						),
                        self.get_value("zero_optimization.offload_param.device"						),
                    ]						)
                if len(offload_devices & offload_devices_valid						) > 0:
                     _UpperCAmelCase      :     Optional[int]        =   True



      def 						snake_case_ (					self					:     List[str]					,     A					:     Optional[int]						):
           _UpperCAmelCase      :     Any        =   self.config

           # find the config node of interest if it exists
           _UpperCAmelCase      :     Union[str, Any]        =   ds_key_long.split("."						)
           _UpperCAmelCase      :     Tuple        =   nodes.pop()
           for node in nodes:
                _UpperCAmelCase      :     Tuple        =   config.get(A						)
                if config is None:
                     return None, ds_key

           return config, ds_key



      def 						snake_case_ (					self					:     Tuple					,     A					:     List[str]					,     A					:     List[Any]=None						):
           _UpperCAmelCase    ,	_UpperCAmelCase      :     List[Any]        =   self.find_config_node(A						)
           if config is None:
                return default
           return config.get(A					,     A						)



      def 						snake_case_ (					self					:     List[str]					,     A					:     str					,     A					:     Optional[int]=False						):
           _UpperCAmelCase      :     List[Any]        =   self.config

           # find the config node of interest if it exists
           _UpperCAmelCase      :     str        =   ds_key_long.split("."						)
           for node in nodes:
                _UpperCAmelCase      :     List[str]        =   config
                _UpperCAmelCase      :     Union[str, Any]        =   config.get(A						)
                if config is None:
                     if must_exist:
                          raise ValueError(f'Can\'t find {ds_key_long} entry in the config: {self.config}'						)
                     else:
                          return

        # if found remove it
           if parent_config is not None:
                parent_config.pop(A						)



      def 						snake_case_ (					self					:     List[Any]					,     A					:     List[Any]						):
           _UpperCAmelCase      :     Dict        =   self.get_value(A						)
           return False if value is None else bool(A						)



      def 						snake_case_ (					self					:     str					,     A					:     List[Any]						):
           _UpperCAmelCase      :     List[str]        =   self.get_value(A						)
           return False if value is None else not bool(A						)



      def 						snake_case_ (					self					:     int						):
           return self._stage == 2



      def 						snake_case_ (					self					:     int						):
           return self._stage == 3



      def 						snake_case_ (					self					:     List[Any]						):
           return self._offload







class      UpperCAmelCase_  :



      def __init__(					self					:     List[str]					,     A					:     str						):
           _UpperCAmelCase      :     List[Any]        =   engine



      def 						snake_case_ (					self					:     Dict					,     A					:     Optional[int]					,     **A					:     List[str]						):
           # runs backpropagation and handles mixed precision
           self.engine.backward(A					,     **A						)

           # Deepspeed's `engine.step` performs the following operations:
           # - gradient accumulation check
           # - gradient clipping
           # - optimizer step
           # - zero grad
           # - checking overflow
           # - lr_scheduler step (only if engine.lr_scheduler is not None)
           self.engine.step()
           # and this plugin overrides the above calls with no-ops when Accelerate runs under
           # Deepspeed, but allows normal functionality for non-Deepspeed cases thus enabling a simple
           # training loop that works transparently under many training regimes.







class      UpperCAmelCase_  (    _UpperCamelCase						):



      def __init__(					self					:     Any					,     A					:     int						):
           super().__init__(A					,     device_placement=A					,     scaler=A						)
           _UpperCAmelCase      :     Union[str, Any]        =   hasattr(self.optimizer					,     "overflow"						)



      def 						snake_case_ (					self					:     Dict					,     A					:     Union[str, Any]=None						):
           pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed



      def 						snake_case_ (					self					:     int						):
           pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed



      @property
      def 						snake_case_ (					self					:     Tuple						):
           if self.__has_overflow__:
                return self.optimizer.overflow
           return False







class      UpperCAmelCase_  (    _UpperCamelCase						):



      def __init__(					self					:     Tuple					,     A					:     Dict					,     A					:     int						):
           super().__init__(A					,     A						)



      def 						snake_case_ (					self					:     List[Any]						):
           pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed







class      UpperCAmelCase_  :



      def __init__(					self					:     Optional[Any]					,     A					:     int					,     A					:     Dict=0.001					,     A					:     Dict=0					,     **A					:     str						):
           _UpperCAmelCase      :     List[Any]        =   params
           _UpperCAmelCase      :     str        =   lr
           _UpperCAmelCase      :     int        =   weight_decay
           _UpperCAmelCase      :     Union[str, Any]        =   kwargs







class      UpperCAmelCase_  :



      def __init__(					self					:     int					,     A					:     Optional[int]					,     A					:     List[Any]=None					,     A					:     List[str]=0					,     **A					:     List[str]						):
           _UpperCAmelCase      :     Dict        =   optimizer
           _UpperCAmelCase      :     Union[str, Any]        =   total_num_steps
           _UpperCAmelCase      :     List[str]        =   warmup_num_steps
           _UpperCAmelCase      :     Union[str, Any]        =   kwargs





"""simple docstring"""




from collections.abc import Callable






class      UpperCAmelCase_  :



      def __init__(					self					:     Dict					,     A					:     Callable | None = None						):
           # Stores actual heap items.
           _UpperCAmelCase      :     list        =   []
           # Stores indexes of each item for supporting updates and deletion.
           _UpperCAmelCase      :     dict        =   {}
           # Stores current size of heap.
           _UpperCAmelCase      :     Tuple        =   0
           # Stores function used to evaluate the score of an item on which basis ordering
           # will be done.
           _UpperCAmelCase      :     Any        =   key or (lambda A						: x)



      def 						snake_case_ (					self					:     List[Any]					,     A					:     int						):
           return int((i - 1) / 2						) if i > 0 else None



      def 						snake_case_ (					self					:     List[Any]					,     A					:     int						):
           _UpperCAmelCase      :     Tuple        =   int(2 * i + 1						)
           return left if 0 < left < self.size else None



      def 						snake_case_ (					self					:     List[Any]					,     A					:     int						):
           _UpperCAmelCase      :     Tuple        =   int(2 * i + 2						)
           return right if 0 < right < self.size else None



      def 						snake_case_ (					self					:     Optional[int]					,     A					:     int					,     A					:     int						):
           _UpperCAmelCase    ,	_UpperCAmelCase      :     int        =   (
               self.pos_map[self.arr[j][0]],
               self.pos_map[self.arr[i][0]],
           )
           # Then swap the items in the list.
           _UpperCAmelCase    ,	_UpperCAmelCase      :     Any        =   self.arr[j], self.arr[i]



      def 						snake_case_ (					self					:     List[str]					,     A					:     int					,     A					:     int						):
           return self.arr[i][1] < self.arr[j][1]



      def 						snake_case_ (					self					:     Dict					,     A					:     int						):
           _UpperCAmelCase      :     str        =   self._left(A						)
           _UpperCAmelCase      :     str        =   self._right(A						)
           _UpperCAmelCase      :     List[Any]        =   i

           if left is not None and not self._cmp(A					,     A						):
                _UpperCAmelCase      :     Optional[int]        =   left
           if right is not None and not self._cmp(A					,     A						):
                _UpperCAmelCase      :     Any        =   right

           return valid_parent



      def 						snake_case_ (					self					:     Tuple					,     A					:     int						):
           _UpperCAmelCase      :     Tuple        =   self._parent(A						)
           while parent is not None and not self._cmp(A					,     A						):
                self._swap(A					,     A						)
                _UpperCAmelCase    ,	_UpperCAmelCase      :     Dict        =   parent, self._parent(A						)



      def 						snake_case_ (					self					:     Optional[int]					,     A					:     int						):
           _UpperCAmelCase      :     Tuple        =   self._get_valid_parent(A						)
           while valid_parent != index:
                self._swap(A					,     A						)
                _UpperCAmelCase    ,	_UpperCAmelCase      :     Optional[Any]        =   valid_parent, self._get_valid_parent(A						)



      def 						snake_case_ (					self					:     Dict					,     A					:     int					,     A					:     int						):
           if item not in self.pos_map:
                return
           _UpperCAmelCase      :     Any        =   self.pos_map[item]
           _UpperCAmelCase      :     Optional[int]        =   [item, self.key(A						)]
           # Make sure heap is right in both up and down direction.
           # Ideally only one of them will make any change.
           self._heapify_up(A						)
           self._heapify_down(A						)



      def 						snake_case_ (					self					:     List[str]					,     A					:     int						):
           if item not in self.pos_map:
                return
           _UpperCAmelCase      :     str        =   self.pos_map[item]
           del self.pos_map[item]
           _UpperCAmelCase      :     Tuple        =   self.arr[self.size - 1]
           _UpperCAmelCase      :     List[Any]        =   index
           self.size -= 1
           # Make sure heap is right in both up and down direction. Ideally only one
           # of them will make any change- so no performance loss in calling both.
           if self.size > index:
                self._heapify_up(A						)
                self._heapify_down(A						)



      def 						snake_case_ (					self					:     Any					,     A					:     int					,     A					:     int						):
           _UpperCAmelCase      :     Any        =   len(self.arr						)
           if arr_len == self.size:
                self.arr.append([item, self.key(A						)]						)
           else:
                _UpperCAmelCase      :     Any        =   [item, self.key(A						)]
           _UpperCAmelCase      :     List[Any]        =   self.size
           self.size += 1
           self._heapify_up(self.size - 1						)



      def 						snake_case_ (					self					:     Tuple						):
           return self.arr[0] if self.size else None



      def 						snake_case_ (					self					:     Any						):
           _UpperCAmelCase      :     Dict        =   self.get_top()
           if top_item_tuple:
                self.delete_item(top_item_tuple[0]						)
           return top_item_tuple







def 						__snake_case						(				)  ->       None:





     '''simple docstring'''



if __name__ == "__main__":
 import doctest

 doctest.testmod()
