
import unittest

import torch
from torch import nn

from accelerate.test_utils import require_cuda
from accelerate.utils.memory import find_executable_batch_size, release_memory







def 						_snake_case(  )			->   str:
       raise RuntimeError("""CUDA out of memory."""    )

class __snake_case		(				nn.Module					):
    def __init__(  self				):



           '''simple docstring'''







           super().__init__()
           lowercase							:					Union[str, Any]	     =				nn.Linear(3		,4				)
           lowercase							:					str	     =				nn.BatchNormad(4				)
           lowercase							:					str	     =				nn.Linear(4		,5				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           return self.lineara(self.batchnorm(self.lineara(snake_case				)				)				)






class __snake_case		(				unittest.TestCase					):
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					str	     =				[]

           @find_executable_batch_size(starting_batch_size=128				)
           def mock_training_loop_function(snake_case				):
                  nonlocal batch_sizes
                  batch_sizes.append(snake_case				)
                  if batch_size != 8:
                         raise_fake_out_of_memory()

           mock_training_loop_function()
           self.assertListEqual(snake_case		,[128, 64, 32, 16, 8]				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					int	     =				[]

           @find_executable_batch_size(starting_batch_size=128				)
           def mock_training_loop_function(snake_case		,snake_case				):
                  nonlocal batch_sizes
                  batch_sizes.append(snake_case				)
                  if batch_size != 8:
                         raise_fake_out_of_memory()
                  return batch_size, arga

           lowercase							:					Union[str, Any]	     =				mock_training_loop_function("""hello"""				)
           self.assertListEqual(snake_case		,[128, 64, 32, 16, 8]				)
           self.assertListEqual([bs, arga]		,[8, """hello"""]				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           @find_executable_batch_size(starting_batch_size=0				)
           def mock_training_loop_function(snake_case				):
                  pass

           with self.assertRaises(snake_case				) as cm:
                  mock_training_loop_function()
                  self.assertIn("""No executable batch size found, reached zero."""		,cm.exception.args[0]				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           @find_executable_batch_size(starting_batch_size=16				)
           def mock_training_loop_function(snake_case				):
                  if batch_size > 0:
                         raise_fake_out_of_memory()
                  pass

           with self.assertRaises(snake_case				) as cm:
                  mock_training_loop_function()
                  self.assertIn("""No executable batch size found, reached zero."""		,cm.exception.args[0]				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           @find_executable_batch_size(starting_batch_size=128				)
           def mock_training_loop_function(snake_case		,snake_case		,snake_case				):
                  if batch_size != 8:
                         raise raise_fake_out_of_memory()

           with self.assertRaises(snake_case				) as cm:
                  mock_training_loop_function(128		,"""hello"""		,"""world"""				)
                  self.assertIn("""Batch size was passed into `f`"""		,cm.exception.args[0]				)
                  self.assertIn("""`f(arg1='hello', arg2='world')"""		,cm.exception.args[0]				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           @find_executable_batch_size(starting_batch_size=16				)
           def mock_training_loop_function(snake_case				):
                  raise ValueError("""Oops, we had an error!"""				)

           with self.assertRaises(snake_case				) as cm:
                  mock_training_loop_function()
                  self.assertIn("""Oops, we had an error!"""		,cm.exception.args[0]				)
    @require_cuda
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					int	     =				torch.cuda.memory_allocated()
           lowercase							:					Optional[int]	     =				ModelForTest()
           model.cuda()
           self.assertGreater(torch.cuda.memory_allocated()		,snake_case				)
           lowercase							:					List[str]	     =				release_memory(snake_case				)
           self.assertEqual(torch.cuda.memory_allocated()		,snake_case				)


class __snake_case		:
    def __init__(  self		,snake_case		,snake_case=None		,snake_case=None				):



           '''simple docstring'''







           lowercase							:					Tuple	     =				data
           lowercase							:					List[Any]	     =				previous
           lowercase							:					List[str]	     =				next_node
    def __str__(  self				):



           '''simple docstring'''







           return f"{self.data}"
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           return self.data
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           return self.next
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           return self.previous






class __snake_case		:
    def __init__(  self		,snake_case				):



           '''simple docstring'''







           lowercase							:					Optional[int]	     =				head
    def __iter__(  self				):



           '''simple docstring'''







           return self
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           if not self.current:
                  raise StopIteration
           else:
                  lowercase							:					Union[str, Any]	     =				self.current.get_data()
                  lowercase							:					Optional[Any]	     =				self.current.get_next()
                  return value






class __snake_case		:
    def __init__(  self				):



           '''simple docstring'''







           lowercase							:					str	     =				None  # First node in list
           lowercase							:					str	     =				None  # Last node in list
    def __str__(  self				):



           '''simple docstring'''







           lowercase							:					int	     =				self.head
           lowercase							:					str	     =				[]
           while current is not None:
                  nodes.append(current.get_data()				)
                  lowercase							:					Dict	     =				current.get_next()
           return " ".join(str(snake_case				) for node in nodes				)
    def __contains__(  self		,snake_case				):



           '''simple docstring'''







           lowercase							:					Dict	     =				self.head
           while current:
                  if current.get_data() == value:
                         return True
                  lowercase							:					Any	     =				current.get_next()
           return False
    def __iter__(  self				):



           '''simple docstring'''







           return LinkedListIterator(self.head				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           if self.head:
                  return self.head.get_data()
           return None
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           if self.tail:
                  return self.tail.get_data()
           return None
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           if self.head is None:
                  lowercase							:					Any	     =				node
                  lowercase							:					Dict	     =				node
           else:
                  self.insert_before_node(self.head		,snake_case				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           if self.head is None:
                  self.set_head(snake_case				)
           else:
                  self.insert_after_node(self.tail		,snake_case				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           lowercase							:					Dict	     =				Node(snake_case				)
           if self.head is None:
                  self.set_head(snake_case				)
           else:
                  self.set_tail(snake_case				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case		,snake_case				):



           '''simple docstring'''







           lowercase							:					Optional[int]	     =				node
           lowercase							:					Optional[int]	     =				node.previous

           if node.get_previous() is None:
                  lowercase							:					Optional[int]	     =				node_to_insert
           else:
                  lowercase							:					Optional[int]	     =				node_to_insert

           lowercase							:					List[Any]	     =				node_to_insert
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case		,snake_case				):



           '''simple docstring'''







           lowercase							:					Dict	     =				node
           lowercase							:					List[str]	     =				node.next

           if node.get_next() is None:
                  lowercase							:					Union[str, Any]	     =				node_to_insert
           else:
                  lowercase							:					List[str]	     =				node_to_insert

           lowercase							:					Dict	     =				node_to_insert
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case		,snake_case				):



           '''simple docstring'''







           lowercase							:					List[Any]	     =				1
           lowercase							:					List[str]	     =				Node(snake_case				)
           lowercase							:					Any	     =				self.head
           while node:
                  if current_position == position:
                         self.insert_before_node(snake_case		,snake_case				)
                         return
                  current_position += 1
                  lowercase							:					List[Any]	     =				node.next
           self.insert_after_node(self.tail		,snake_case				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           lowercase							:					Optional[int]	     =				self.head
           while node:
                  if node.get_data() == item:
                         return node
                  lowercase							:					Any	     =				node.get_next()
           raise Exception("""Node not found"""				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           if (node := self.get_node(snake_case				)) is not None:
                  if node == self.head:
                         lowercase							:					Optional[Any]	     =				self.head.get_next()

                  if node == self.tail:
                         lowercase							:					List[str]	     =				self.tail.get_previous()

                  self.remove_node_pointers(snake_case				)
    @staticmethod
    def 				_SCREAMING_SNAKE_CASE	(  snake_case				):



           '''simple docstring'''







           if node.get_next():
                  lowercase							:					Optional[int]	     =				node.previous

           if node.get_previous():
                  lowercase							:					Union[str, Any]	     =				node.next

           lowercase							:					Union[str, Any]	     =				None
           lowercase							:					Optional[Any]	     =				None
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           return self.head is None







def 						_snake_case(  )			->   None:
       pass


if __name__ == "__main__":
  import doctest

  doctest.testmod()
