






'''simple docstring'''
import logging
from pathlib import Path

import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.utilities import rank_zero_only
from utils_rag import save_json




def 		__SCREAMING_SNAKE_CASE       (	_UpperCamelCase				):


   """simple docstring"""




   lowercase_						:     Optional[Any]							     =  filter(lambda _UpperCamelCase				: p.requires_grad    ,		model.parameters()				)
   lowercase_						:     Any							     =  sum([np.prod(p.size()				) for p in model_parameters]				)
   return params


UpperCamelCase__			=      logging.getLogger(__name__)




def 		__SCREAMING_SNAKE_CASE       (	_UpperCamelCase    ,		_UpperCamelCase				):


   """simple docstring"""




   if metric == "rouge2":
      lowercase_						:     Tuple							     =  "{val_avg_rouge2:.4f}-{step_count}"
   elif metric == "bleu":
      lowercase_						:     List[Any]							     =  "{val_avg_bleu:.4f}-{step_count}"
   elif metric == "em":
      lowercase_						:     Any							     =  "{val_avg_em:.4f}-{step_count}"
   else:
      raise NotImplementedError(
          F"""seq2seq callbacks only support rouge2 and bleu, got {metric}, You can make your own by adding to this"""
          " function."				)

   lowercase_						:     Tuple							     =  ModelCheckpoint(
       dirpath=_UpperCamelCase    ,		filename=_UpperCamelCase    ,		monitor=F"""val_{metric}"""    ,		mode="max"    ,		save_top_k=3    ,		every_n_epochs=1    ,		)
   return checkpoint_callback




def 		__SCREAMING_SNAKE_CASE       (	_UpperCamelCase    ,		_UpperCamelCase				):


   """simple docstring"""




   return EarlyStopping(
       monitor=F"""val_{metric}"""    ,		mode="min" if "loss" in metric else "max"    ,		patience=_UpperCamelCase    ,		verbose=_UpperCamelCase    ,		)





class 							_UpperCAmelCase    (		pl.Callback      ):




    def 					lowerCAmelCase__					(      self	:							Union[str, Any]	,  a	:							Union[str, Any]	,  a	:							List[str]      ):






       '''simple docstring'''






       lowercase_						:     str							     =  {f"""lr_group_{i}""": param["lr"] for i, param in enumerate(pl_module.trainer.optimizers[0].param_groups      )}
       pl_module.logger.log_metrics(a      )




    @rank_zero_only
    def 					lowerCAmelCase__					(      self	:							Optional[int]	,  a	:							pl.Trainer	,  a	:							pl.LightningModule	,  a	:							str	,  a	:							str=True      ):






       '''simple docstring'''






       logger.info(f"""***** {type_path} results at step {trainer.global_step:05d} *****"""      )
       lowercase_						:     Union[str, Any]							     =  trainer.callback_metrics
       trainer.logger.log_metrics({k: v for k, v in metrics.items() if k not in ["log", "progress_bar", "preds"]}      )
       # Log results
       lowercase_						:     List[Any]							     =  Path(pl_module.hparams.output_dir      )
       if type_path == "test":
          lowercase_						:     List[str]							     =  od / "test_results.txt"
          lowercase_						:     List[Any]							     =  od / "test_generations.txt"
       else:
          # this never gets hit. I prefer not to save intermediate generations, and results are in metrics.json
          # If people want this it will be easy enough to add back.
          lowercase_						:     str							     =  od / f"""{type_path}_results/{trainer.global_step:05d}.txt"""
          lowercase_						:     str							     =  od / f"""{type_path}_generations/{trainer.global_step:05d}.txt"""
          results_file.parent.mkdir(exist_ok=a      )
          generations_file.parent.mkdir(exist_ok=a      )
       with open(a	,  "a+"      ) as writer:
          for key in sorted(a      ):
             if key in ["log", "progress_bar", "preds"]:
                continue
             lowercase_						:     str							     =  metrics[key]
             if isinstance(a	,  torch.Tensor      ):
                lowercase_						:     Dict							     =  val.item()
             lowercase_						:     Tuple							     =  f"""{key}: {val:.6f}\n"""
             writer.write(a      )

       if not save_generations:
          return

       if "preds" in metrics:
          lowercase_						:     int							     =  "\n".join(metrics["preds"]      )
          generations_file.open("w+"      ).write(a      )




    @rank_zero_only
    def 					lowerCAmelCase__					(      self	:							Optional[int]	,  a	:							Union[str, Any]	,  a	:							str      ):






       '''simple docstring'''






       try:
          lowercase_						:     List[str]							     =  pl_module.model.model.num_parameters()
       except AttributeError:
          lowercase_						:     Tuple							     =  pl_module.model.num_parameters()

       lowercase_						:     List[Any]							     =  count_trainable_parameters(a      )
       # mp stands for million parameters
       trainer.logger.log_metrics({"n_params": npars, "mp": npars / 1e6, "grad_mp": n_trainable_pars / 1e6}      )




    @rank_zero_only
    def 					lowerCAmelCase__					(      self	:							Optional[int]	,  a	:							pl.Trainer	,  a	:							pl.LightningModule      ):






       '''simple docstring'''






       save_json(pl_module.metrics	,  pl_module.metrics_save_path      )
       return self._write_logs(a	,  a	,  "test"      )





    @rank_zero_only
    def 					lowerCAmelCase__					(      self	:							Union[str, Any]	,  a	:							pl.Trainer	,  a	:							Optional[int]      ):






       '''simple docstring'''






       save_json(pl_module.metrics	,  pl_module.metrics_save_path      )
       # Uncommenting this will save val generations
       # return self._write_logs(trainer, pl_module, "valid")












'''simple docstring'''
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 							_UpperCAmelCase    (		unittest.TestCase      ):
    __lowerCamelCase: List[Any]									=     inspect.getfile(accelerate.test_utils      )
    __lowerCamelCase: List[Any]									=     os.path.sep.join(mod_file.split(os.path.sep      )[:-1] + ['scripts', 'test_cli.py']      )

    __lowerCamelCase: Optional[Any]									=     ['accelerate', 'launch']
    __lowerCamelCase: List[str]									=     Path.home() / '.cache/huggingface/accelerate'
    __lowerCamelCase: Dict									=     'default_config.yaml'
    __lowerCamelCase: Union[str, Any]									=     config_folder / config_file
    __lowerCamelCase: Tuple									=     config_folder / '_default_config.yaml'

    __lowerCamelCase: Union[str, Any]									=     Path('tests/test_configs'      )




    @classmethod
    def 					lowerCAmelCase__					(      cls	:							List[Any]      ):






       '''simple docstring'''






       if cls.config_path.is_file():
          cls.config_path.rename(cls.changed_path      )




    @classmethod
    def 					lowerCAmelCase__					(      cls	:							str      ):






       '''simple docstring'''






       if cls.changed_path.is_file():
          cls.changed_path.rename(cls.config_path      )




    def 					lowerCAmelCase__					(      self	:							Dict      ):






       '''simple docstring'''






       lowercase_						:     List[str]							     =  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 					lowerCAmelCase__					(      self	:							Optional[int]      ):






       '''simple docstring'''






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





    def 					lowerCAmelCase__					(      self	:							List[str]      ):






       '''simple docstring'''






       execute_subprocess_async(["accelerate", "test"]	,  env=os.environ.copy()      )


class 							_UpperCAmelCase    (		unittest.TestCase      ):
    __lowerCamelCase: Tuple									=     'test-tpu'
    __lowerCamelCase: Dict									=     'us-central1-a'
    __lowerCamelCase: List[str]									=     'ls'
    __lowerCamelCase: Optional[int]									=     ['accelerate', 'tpu-config']
    __lowerCamelCase: Optional[Any]									=     'cd /usr/share'
    __lowerCamelCase: Any									=     'tests/test_samples/test_command_file.sh'
    __lowerCamelCase: Tuple									=     'Running gcloud compute tpus tpu-vm ssh'




    def 					lowerCAmelCase__					(      self	:							Tuple      ):






       '''simple docstring'''






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




    def 					lowerCAmelCase__					(      self	:							Optional[Any]      ):






       '''simple docstring'''






       lowercase_						:     Optional[int]							     =  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=a	,  )
       self.assertIn(
           f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							int      ):






       '''simple docstring'''






       lowercase_						:     Union[str, Any]							     =  run_command(
           self.cmd + ["--config_file", "tests/test_configs/latest.yaml", "--debug"]	,  return_stdout=a      )
       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"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							Optional[int]      ):






       '''simple docstring'''






       lowercase_						:     Any							     =  run_command(
           self.cmd + ["--config_file", "tests/test_configs/latest.yaml", "--command", self.command, "--debug"]	,  return_stdout=a	,  )
       self.assertIn(
           f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							Optional[Any]      ):






       '''simple docstring'''






       lowercase_						:     Optional[Any]							     =  run_command(
           self.cmd
           + [
               "--config_file",
               "tests/test_configs/latest.yaml",
               "--command",
               self.command,
               "--command",
               "echo \"Hello World\"",
               "--debug",
           ]	,  return_stdout=a	,  )
       self.assertIn(
           f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls; echo \"Hello World\" --worker all"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							Any      ):






       '''simple docstring'''






       lowercase_						:     Optional[Any]							     =  run_command(
           self.cmd
           + ["--config_file", "tests/test_configs/latest.yaml", "--command_file", self.command_file, "--debug"]	,  return_stdout=a	,  )
       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"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							Dict      ):






       '''simple docstring'''






       lowercase_						:     List[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=a	,  )
       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"""	,  a	,  )




    def 					lowerCAmelCase__					(      self	:							Dict      ):






       '''simple docstring'''






       lowercase_						:     Union[str, Any]							     =  run_command(
           self.cmd + ["--config_file", "tests/test_configs/latest.yaml", "--install_accelerate", "--debug"]	,  return_stdout=a	,  )
       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"""	,  a	,  )





    def 					lowerCAmelCase__					(      self	:							Optional[int]      ):






       '''simple docstring'''






       lowercase_						:     Optional[Any]							     =  run_command(
           self.cmd
           + [
               "--config_file",
               "tests/test_configs/latest.yaml",
               "--install_accelerate",
               "--accelerate_version",
               "12.0.0",
               "--debug",
           ]	,  return_stdout=a	,  )
       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"""	,  a	,  )




