





import torch

from diffusers import DPMSolverSDEScheduler
from diffusers.utils import torch_device
from diffusers.utils.testing_utils import require_torchsde

from .test_schedulers import SchedulerCommonTest





@require_torchsde
class      lowercase__    (							__A  ):
  __UpperCamelCase	     =  (DPMSolverSDEScheduler,)
  __UpperCamelCase	     =  10







  def 	UpperCAmelCase__		(	self    ,						**_lowercase						):
       lowerCAmelCase_					:       Tuple    =		{
           """num_train_timesteps""": 1_100,
           """beta_start""": 0.0001,
           """beta_end""": 0.02,
           """beta_schedule""": """linear""",
           """noise_sampler_seed""": 0,
       }

       config.update(**_lowercase						)
       return config







  def 	UpperCAmelCase__		(	self						):
       for timesteps in [10, 50, 100, 1_000]:
            self.check_over_configs(num_train_timesteps=_lowercase						)







  def 	UpperCAmelCase__		(	self						):
       for beta_start, beta_end in zip([0.0_0001, 0.0001, 0.001]    ,						[0.0002, 0.002, 0.02]						):
            self.check_over_configs(beta_start=_lowercase    ,						beta_end=_lowercase						)







  def 	UpperCAmelCase__		(	self						):
       for schedule in ["linear", "scaled_linear"]:
            self.check_over_configs(beta_schedule=_lowercase						)







  def 	UpperCAmelCase__		(	self						):
       for prediction_type in ["epsilon", "v_prediction"]:
            self.check_over_configs(prediction_type=_lowercase						)







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Optional[Any]    =		self.scheduler_classes[0]
       lowerCAmelCase_					:       int    =		self.get_scheduler_config()
       lowerCAmelCase_					:       int    =		scheduler_class(**_lowercase						)

       scheduler.set_timesteps(self.num_inference_steps						)

       lowerCAmelCase_					:       Dict    =		self.dummy_model()
       lowerCAmelCase_					:       Tuple    =		self.dummy_sample_deter * scheduler.init_noise_sigma
       lowerCAmelCase_					:       int    =		sample.to(_lowercase						)

       for i, t in enumerate(scheduler.timesteps						):
            lowerCAmelCase_					:       Tuple    =		scheduler.scale_model_input(_lowercase    ,						_lowercase						)

            lowerCAmelCase_					:       Any    =		model(_lowercase    ,						_lowercase						)

            lowerCAmelCase_					:       Optional[int]    =		scheduler.step(_lowercase    ,						_lowercase    ,						_lowercase						)
            lowerCAmelCase_					:       Optional[Any]    =		output.prev_sample

       lowerCAmelCase_					:       Dict    =		torch.sum(torch.abs(_lowercase						)						)
       lowerCAmelCase_					:       Tuple    =		torch.mean(torch.abs(_lowercase						)						)

       if torch_device in ["mps"]:
            assert abs(result_sum.item() - 167.47_8210_4492_1875						) < 1e-2
            assert abs(result_mean.item() - 0.2178_7059_6456_5277						) < 1e-3
       elif torch_device in ["cuda"]:
            assert abs(result_sum.item() - 171.59_3521_1181_6406						) < 1e-2
            assert abs(result_mean.item() - 0.2_2342_9068_9229_9652						) < 1e-3
       else:
            assert abs(result_sum.item() - 162.52_3834_2285_1562						) < 1e-2
            assert abs(result_mean.item() - 0.211_6195_7085_1326						) < 1e-3







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Tuple    =		self.scheduler_classes[0]
       lowerCAmelCase_					:       Union[str, Any]    =		self.get_scheduler_config(prediction_type="""v_prediction"""						)
       lowerCAmelCase_					:       Optional[Any]    =		scheduler_class(**_lowercase						)

       scheduler.set_timesteps(self.num_inference_steps						)

       lowerCAmelCase_					:       List[Any]    =		self.dummy_model()
       lowerCAmelCase_					:       Optional[int]    =		self.dummy_sample_deter * scheduler.init_noise_sigma
       lowerCAmelCase_					:       Tuple    =		sample.to(_lowercase						)

       for i, t in enumerate(scheduler.timesteps						):
            lowerCAmelCase_					:       Optional[Any]    =		scheduler.scale_model_input(_lowercase    ,						_lowercase						)

            lowerCAmelCase_					:       Dict    =		model(_lowercase    ,						_lowercase						)

            lowerCAmelCase_					:       Dict    =		scheduler.step(_lowercase    ,						_lowercase    ,						_lowercase						)
            lowerCAmelCase_					:       Optional[Any]    =		output.prev_sample

       lowerCAmelCase_					:       Optional[Any]    =		torch.sum(torch.abs(_lowercase						)						)
       lowerCAmelCase_					:       str    =		torch.mean(torch.abs(_lowercase						)						)

       if torch_device in ["mps"]:
            assert abs(result_sum.item() - 124.77_1492_0043_9453						) < 1e-2
            assert abs(result_mean.item() - 0.1_6226_2890_1481_6284						) < 1e-3
       elif torch_device in ["cuda"]:
            assert abs(result_sum.item() - 128.1_6633_6059_5703						) < 1e-2
            assert abs(result_mean.item() - 0.1_6688_3260_0116_7297						) < 1e-3
       else:
            assert abs(result_sum.item() - 119.8_4875_4882_8125						) < 1e-2
            assert abs(result_mean.item() - 0.1560_5306_6253_6621						) < 1e-3







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Optional[Any]    =		self.scheduler_classes[0]
       lowerCAmelCase_					:       Tuple    =		self.get_scheduler_config()
       lowerCAmelCase_					:       int    =		scheduler_class(**_lowercase						)

       scheduler.set_timesteps(self.num_inference_steps    ,						device=_lowercase						)

       lowerCAmelCase_					:       int    =		self.dummy_model()
       lowerCAmelCase_					:       int    =		self.dummy_sample_deter.to(_lowercase						) * scheduler.init_noise_sigma

       for t in scheduler.timesteps:
            lowerCAmelCase_					:       List[str]    =		scheduler.scale_model_input(_lowercase    ,						_lowercase						)

            lowerCAmelCase_					:       int    =		model(_lowercase    ,						_lowercase						)

            lowerCAmelCase_					:       str    =		scheduler.step(_lowercase    ,						_lowercase    ,						_lowercase						)
            lowerCAmelCase_					:       List[str]    =		output.prev_sample

       lowerCAmelCase_					:       str    =		torch.sum(torch.abs(_lowercase						)						)
       lowerCAmelCase_					:       int    =		torch.mean(torch.abs(_lowercase						)						)

       if torch_device in ["mps"]:
            assert abs(result_sum.item() - 167.46_9573_9746_0938						) < 1e-2
            assert abs(result_mean.item() - 0.2_1805_9346_0798_2635						) < 1e-3
       elif torch_device in ["cuda"]:
            assert abs(result_sum.item() - 171.59_3536_3769_5312						) < 1e-2
            assert abs(result_mean.item() - 0.2_2342_9083_8241_5771						) < 1e-3
       else:
            assert abs(result_sum.item() - 162.52_3834_2285_1562						) < 1e-2
            assert abs(result_mean.item() - 0.211_6195_7085_1326						) < 1e-3







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Optional[Any]    =		self.scheduler_classes[0]
       lowerCAmelCase_					:       List[Any]    =		self.get_scheduler_config()
       lowerCAmelCase_					:       Optional[Any]    =		scheduler_class(**_lowercase    ,						use_karras_sigmas=_lowercase						)

       scheduler.set_timesteps(self.num_inference_steps    ,						device=_lowercase						)

       lowerCAmelCase_					:       Union[str, Any]    =		self.dummy_model()
       lowerCAmelCase_					:       List[str]    =		self.dummy_sample_deter.to(_lowercase						) * scheduler.init_noise_sigma
       lowerCAmelCase_					:       Any    =		sample.to(_lowercase						)

       for t in scheduler.timesteps:
            lowerCAmelCase_					:       Optional[int]    =		scheduler.scale_model_input(_lowercase    ,						_lowercase						)

            lowerCAmelCase_					:       Dict    =		model(_lowercase    ,						_lowercase						)

            lowerCAmelCase_					:       Optional[int]    =		scheduler.step(_lowercase    ,						_lowercase    ,						_lowercase						)
            lowerCAmelCase_					:       str    =		output.prev_sample

       lowerCAmelCase_					:       int    =		torch.sum(torch.abs(_lowercase						)						)
       lowerCAmelCase_					:       Any    =		torch.mean(torch.abs(_lowercase						)						)

       if torch_device in ["mps"]:
            assert abs(result_sum.item() - 176.66_9741_3574_2188						) < 1e-2
            assert abs(result_mean.item() - 0.2_3003_8727_3098_1811						) < 1e-2
       elif torch_device in ["cuda"]:
            assert abs(result_sum.item() - 177.63_6535_6445_3125						) < 1e-2
            assert abs(result_mean.item() - 0.2_3003_8727_3098_1811						) < 1e-2
       else:
            assert abs(result_sum.item() - 170.3_1352_2338_8672						) < 1e-2
            assert abs(result_mean.item() - 0.2_3003_8727_3098_1811						) < 1e-2







import inspect
import os
import unittest
from pathlib import Path

import torch

import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command





class      lowercase__    (							unittest.TestCase  ):
  __UpperCamelCase	     =  inspect.getfile(accelerate.test_utils  )
  __UpperCamelCase	     =  os.path.sep.join(mod_file.split(os.path.sep  )[:-1] + ["""scripts""", """test_cli.py"""]  )

  __UpperCamelCase	     =  ["""accelerate""", """launch"""]
  __UpperCamelCase	     =  Path.home() / """.cache/huggingface/accelerate"""
  __UpperCamelCase	     =  """default_config.yaml"""
  __UpperCamelCase	     =  config_folder / config_file
  __UpperCamelCase	     =  config_folder / """_default_config.yaml"""

  __UpperCamelCase	     =  Path("""tests/test_configs"""  )







  @classmethod
  def 	UpperCAmelCase__		(	cls						):
       if cls.config_path.is_file():
            cls.config_path.rename(cls.changed_path						)







  @classmethod
  def 	UpperCAmelCase__		(	cls						):
       if cls.changed_path.is_file():
            cls.changed_path.rename(cls.config_path						)







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       int    =		self.base_cmd
       if torch.cuda.is_available() and (torch.cuda.device_count() > 1):
            cmd += ["--multi_gpu"]
       execute_subprocess_async(cmd + [self.test_file_path]    ,						env=os.environ.copy()						)







  def 	UpperCAmelCase__		(	self						):
       for config in sorted(self.test_config_path.glob("""**/*.yaml"""						)						):
            with self.subTest(config_file=_lowercase						):
                 execute_subprocess_async(
                     self.base_cmd + ["""--config_file""", str(_lowercase						), self.test_file_path]    ,						env=os.environ.copy()						)







  def 	UpperCAmelCase__		(	self						):
       execute_subprocess_async(["""accelerate""", """test"""]    ,						env=os.environ.copy()						)





class      lowercase__    (							unittest.TestCase  ):
  __UpperCamelCase	     =  """test-tpu"""
  __UpperCamelCase	     =  """us-central1-a"""
  __UpperCamelCase	     =  """ls"""
  __UpperCamelCase	     =  ["""accelerate""", """tpu-config"""]
  __UpperCamelCase	     =  """cd /usr/share"""
  __UpperCamelCase	     =  """tests/test_samples/test_command_file.sh"""
  __UpperCamelCase	     =  """Running gcloud compute tpus tpu-vm ssh"""







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       str    =		run_command(
           self.cmd
           + ["""--command""", self.command, """--tpu_zone""", self.tpu_zone, """--tpu_name""", self.tpu_name, """--debug"""]    ,						return_stdout=_lowercase    ,						)
       self.assertIn(
           F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'    ,						_lowercase    ,						)







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       str    =		run_command(
           self.cmd
           + [
               """--config_file""",
               """tests/test_configs/0_12_0.yaml""",
               """--command""",
               self.command,
               """--tpu_zone""",
               self.tpu_zone,
               """--tpu_name""",
               self.tpu_name,
               """--debug""",
           ]    ,						return_stdout=_lowercase    ,						)
       self.assertIn(
           F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'    ,						_lowercase    ,						)







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Optional[Any]    =		run_command(
           self.cmd + ["""--config_file""", """tests/test_configs/latest.yaml""", """--debug"""]    ,						return_stdout=_lowercase						)
       self.assertIn(
           F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'    ,						_lowercase    ,						)







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Tuple    =		run_command(
           self.cmd + ["""--config_file""", """tests/test_configs/latest.yaml""", """--command""", self.command, """--debug"""]    ,						return_stdout=_lowercase    ,						)
       self.assertIn(
           F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'    ,						_lowercase    ,						)







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       str    =		run_command(
           self.cmd
           + [
               """--config_file""",
               """tests/test_configs/latest.yaml""",
               """--command""",
               self.command,
               """--command""",
               """echo \"Hello World\"""",
               """--debug""",
           ]    ,						return_stdout=_lowercase    ,						)
       self.assertIn(
           F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls; echo "Hello World" --worker all'    ,						_lowercase    ,						)







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       str    =		run_command(
           self.cmd
           + ["""--config_file""", """tests/test_configs/latest.yaml""", """--command_file""", self.command_file, """--debug"""]    ,						return_stdout=_lowercase    ,						)
       self.assertIn(
           F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'    ,						_lowercase    ,						)







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Optional[Any]    =		run_command(
           self.cmd
           + [
               """--config_file""",
               """tests/test_configs/0_12_0.yaml""",
               """--command_file""",
               self.command_file,
               """--tpu_zone""",
               self.tpu_zone,
               """--tpu_name""",
               self.tpu_name,
               """--debug""",
           ]    ,						return_stdout=_lowercase    ,						)
       self.assertIn(
           F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo "hello world"; echo "this is a second command" --worker all'    ,						_lowercase    ,						)







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Tuple    =		run_command(
           self.cmd + ["""--config_file""", """tests/test_configs/latest.yaml""", """--install_accelerate""", """--debug"""]    ,						return_stdout=_lowercase    ,						)
       self.assertIn(
           F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate -U; echo "hello world"; echo "this is a second command" --worker all'    ,						_lowercase    ,						)







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Any    =		run_command(
           self.cmd
           + [
               """--config_file""",
               """tests/test_configs/latest.yaml""",
               """--install_accelerate""",
               """--accelerate_version""",
               """12.0.0""",
               """--debug""",
           ]    ,						return_stdout=_lowercase    ,						)
       self.assertIn(
           F'{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate==12.0.0; echo "hello world"; echo "this is a second command" --worker all'    ,						_lowercase    ,						)
