





'''simple docstring'''

import argparse
import datetime
import io
import itertools
import json
import math
import os
import platform
import re
import shlex
import subprocess
import sys
from pathlib import Path
from statistics import fmean

import pandas as pd
import torch
from tqdm import tqdm

import transformers


UpperCAmelCase					:		List[str]		=							float('nan')





class lowerCamelCase						:







  def __init__(		self     ,     lowercase__		)		->						List[str]:






        """simple docstring"""





        _snake_case		:	Union[str, Any]					     =     sys.stdout
        _snake_case		:	List[Any]					     =     open(lowercase__     ,     '''a'''		)







  def __getattr__(		self     ,     lowercase__		)		->						Optional[int]:






        """simple docstring"""





        return getattr(self.stdout     ,     lowercase__		)







  def 				UpperCAmelCase_				(		self     ,     lowercase__		)		->						Dict:






        """simple docstring"""





        self.stdout.write(lowercase__		)
        # strip tqdm codes
        self.file.write(re.sub(r'''^.*\r'''     ,     ''''''     ,     lowercase__     ,     0     ,     re.M		)		)




def    _a    (							lowerCAmelCase_=80			,      lowerCAmelCase_=False	):





      """simple docstring"""



      _snake_case		:	Any					     =     []

      # deal with critical env vars
      _snake_case		:	List[str]					     =     ['''CUDA_VISIBLE_DEVICES''']
      for key in env_keys:
            _snake_case		:	List[Any]					     =     os.environ.get(lowerCAmelCase_			,      lowerCAmelCase_	)
            if val is not None:
                  cmd.append(f'''{key}={val}'''	)

    # python executable (not always needed if the script is executable)
      _snake_case		:	Any					     =     sys.executable if full_python_path else sys.executable.split('''/'''	)[-1]
      cmd.append(lowerCAmelCase_	)

      # now the normal args
      cmd += list(map(shlex.quote			,      sys.argv	)	)

      # split up into up to MAX_WIDTH lines with shell multi-line escapes
      _snake_case		:	Union[str, Any]					     =     []
      _snake_case		:	str					     =     ''''''
      while len(lowerCAmelCase_	) > 0:
            current_line += f'''{cmd.pop(0	)} '''
            if len(lowerCAmelCase_	) == 0 or len(lowerCAmelCase_	) + len(cmd[0]	) + 1 > max_width - 1:
                  lines.append(lowerCAmelCase_	)
                  _snake_case		:	Optional[Any]					     =     ''''''
      return "\\\n".join(lowerCAmelCase_	)




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	str					     =     re.sub(R'''[\\\n]+'''			,      ''' '''			,      args.base_cmd	)

      # remove --output_dir if any and set our own
      _snake_case		:	Optional[Any]					     =     re.sub('''--output_dir\s+[^\s]+'''			,      ''''''			,      args.base_cmd	)
      args.base_cmd += f''' --output_dir {output_dir}'''

      # ensure we have --overwrite_output_dir
      _snake_case		:	List[str]					     =     re.sub('''--overwrite_output_dir\s+'''			,      ''''''			,      args.base_cmd	)
      args.base_cmd += " --overwrite_output_dir"

      return [sys.executable] + shlex.split(args.base_cmd	)




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      if 0:
            import random
            from time import sleep

            sleep(0	)
            return dict(
                {k: random.uniform(0			,      100	) for k in metric_keys}			,      **{target_metric_key: random.choice([nan, 10.31, 100.2, 55.6_666, 222.22_222_222]	)}			,      )

      _snake_case		:	int					     =     subprocess.run(lowerCAmelCase_			,      capture_output=lowerCAmelCase_			,      text=lowerCAmelCase_	)

      if verbose:
            print('''STDOUT'''			,      result.stdout	)
            print('''STDERR'''			,      result.stderr	)

      # save the streams
      _snake_case		:	Optional[Any]					     =     variation.replace(''' '''			,      '''-'''	)
      with open(Path(lowerCAmelCase_	) / f'''log.{prefix}.stdout.txt'''			,      '''w'''	) as f:
            f.write(result.stdout	)
      with open(Path(lowerCAmelCase_	) / f'''log.{prefix}.stderr.txt'''			,      '''w'''	) as f:
            f.write(result.stderr	)

      if result.returncode != 0:
            if verbose:
                  print('''failed'''	)
            return {target_metric_key: nan}

      with io.open(f'''{output_dir}/all_results.json'''			,      '''r'''			,      encoding='''utf-8'''	) as f:
            _snake_case		:	Union[str, Any]					     =     json.load(lowerCAmelCase_	)

      # filter out just the keys we want
      return {k: v for k, v in metrics.items() if k in metric_keys}




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      ):





      """simple docstring"""



      _snake_case		:	Optional[Any]					     =     []
      _snake_case		:	Optional[Any]					     =     []
      _snake_case		:	Dict					     =     f'''{id}: {variation:<{longest_variation_len}}'''
      _snake_case		:	int					     =     f'''{preamble}: '''
      _snake_case		:	Union[str, Any]					     =     set(report_metric_keys + [target_metric_key]	)
      for i in tqdm(range(lowerCAmelCase_	)			,      desc=lowerCAmelCase_			,      leave=lowerCAmelCase_	):
            _snake_case		:	Optional[Any]					     =     process_run_single(
                lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_	)
            _snake_case		:	Union[str, Any]					     =     single_run_metrics[target_metric_key]
            if not math.isnan(lowerCAmelCase_	):
                  metrics.append(lowerCAmelCase_	)
                  results.append(lowerCAmelCase_	)
                  outcome += "✓"
            else:
                  outcome += "✘"
      _snake_case		:	Any					     =     f'''\33[2K\r{outcome}'''
      if len(lowerCAmelCase_	) > 0:
            _snake_case		:	List[str]					     =     {k: fmean([x[k] for x in metrics]	) for k in metrics[0].keys()}
            _snake_case		:	str					     =     round(mean_metrics[target_metric_key]			,      2	)
            _snake_case		:	Any					     =     f'''{outcome} {mean_target}'''
            if len(lowerCAmelCase_	) > 1:
                  results_str += f''' {tuple(round(lowerCAmelCase_			,      2	) for x in results	)}'''
            print(lowerCAmelCase_	)
            _snake_case		:	List[Any]					     =     variation
            return mean_metrics
      else:
            print(lowerCAmelCase_	)
            return {variation_key: variation, target_metric_key: nan}




def    _a    (							):





      """simple docstring"""



      _snake_case		:	Any					     =     torch.cuda.get_device_properties(torch.device('''cuda'''	)	)
      return f'''
Datetime    : {datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"	)}

Software:
transformers: {transformers.__version__}
torch       : {torch.__version__}
cuda        : {torch.version.cuda}
python      : {platform.python_version()}

Hardware:
{torch.cuda.device_count()} GPUs      : {properties.name}, {properties.total_memory/2**30:0.2f}GB
'''




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	Union[str, Any]					     =     pd.DataFrame(lowerCAmelCase_	)
      _snake_case		:	Tuple					     =     '''variation'''
      _snake_case		:	Any					     =     '''diff_%'''

      _snake_case		:	Any					     =     nan
      if base_variation is not None and len(df[df[variation_key] == base_variation]	):
            # this may still return nan
            _snake_case		:	Optional[Any]					     =     df.loc[df[variation_key] == base_variation][target_metric_key].item()
      if math.isnan(lowerCAmelCase_	):
            # as a fallback, use the minimal value as the sentinel
            _snake_case		:	Any					     =     df.loc[df[target_metric_key] != nan][target_metric_key].min()

      # create diff column if possible
      if not math.isnan(lowerCAmelCase_	):
            _snake_case		:	str					     =     df.apply(
                lambda lowerCAmelCase_	: round(100 * (r[target_metric_key] - sentinel_value) / sentinel_value	)
                if not math.isnan(r[target_metric_key]	)
                else 0			,      axis='''columns'''			,      )

      # re-order columns
      _snake_case		:	Optional[int]					     =     [variation_key, target_metric_key, diff_key, *report_metric_keys]
      _snake_case		:	List[str]					     =     df.reindex(lowerCAmelCase_			,      axis='''columns'''	)  # reorder cols

      # capitalize
      _snake_case		:	List[str]					     =     df.rename(str.capitalize			,      axis='''columns'''	)

      # make the cols as narrow as possible
      _snake_case		:	str					     =     df.rename(lambda lowerCAmelCase_	: c.replace('''_'''			,      '''<br>'''	)			,      axis='''columns'''	)
      _snake_case		:	Any					     =     df.rename(lambda lowerCAmelCase_	: c.replace('''_'''			,      '''\n'''	)			,      axis='''columns'''	)

      _snake_case		:	List[str]					     =     ['''''', '''Copy between the cut-here-lines and paste as is to github or a forum''']
      report += ["----------8<-----------------8<--------"]
      report += ["*** Results:", df_github.to_markdown(index=lowerCAmelCase_			,      floatfmt='''.2f'''	)]
      report += ["```"]
      report += ["*** Setup:", get_versions()]
      report += ["*** The benchmark command line was:", get_original_command()]
      report += ["```"]
      report += ["----------8<-----------------8<--------"]
      report += ["*** Results (console):", df_console.to_markdown(index=lowerCAmelCase_			,      floatfmt='''.2f'''	)]

      print('''\n\n'''.join(lowerCAmelCase_	)	)




def    _a    (							):





      """simple docstring"""



      _snake_case		:	Tuple					     =     argparse.ArgumentParser()
      parser.add_argument(
          '''--base-cmd'''			,      default=lowerCAmelCase_			,      type=lowerCAmelCase_			,      required=lowerCAmelCase_			,      help='''Base cmd'''			,      )
      parser.add_argument(
          '''--variations'''			,      default=lowerCAmelCase_			,      type=lowerCAmelCase_			,      nargs='''+'''			,      required=lowerCAmelCase_			,      help='''Multi-dimensional variations, example: \'|--fp16|--bf16\' \'|--tf32\''''			,      )
      parser.add_argument(
          '''--base-variation'''			,      default=lowerCAmelCase_			,      type=lowerCAmelCase_			,      help='''Baseline variation to compare to. if None the minimal target value will be used to compare against'''			,      )
      parser.add_argument(
          '''--target-metric-key'''			,      default=lowerCAmelCase_			,      type=lowerCAmelCase_			,      required=lowerCAmelCase_			,      help='''Target metric key in output_dir/all_results.json, e.g., train_samples_per_second'''			,      )
      parser.add_argument(
          '''--report-metric-keys'''			,      default=''''''			,      type=lowerCAmelCase_			,      help='''Report metric keys - other metric keys from output_dir/all_results.json to report, e.g., train_loss. Use a single argument e.g., \'train_loss train_samples'''			,      )
      parser.add_argument(
          '''--repeat-times'''			,      default=1			,      type=lowerCAmelCase_			,      help='''How many times to re-run each variation - an average will be reported'''			,      )
      parser.add_argument(
          '''--output_dir'''			,      default='''output_benchmark'''			,      type=lowerCAmelCase_			,      help='''The output directory where all the benchmark reports will go to and additionally this directory will be used to override --output_dir in the script that is being benchmarked'''			,      )
      parser.add_argument(
          '''--verbose'''			,      default=lowerCAmelCase_			,      action='''store_true'''			,      help='''Whether to show the outputs of each run or just the benchmark progress'''			,      )
      _snake_case		:	Any					     =     parser.parse_args()

      _snake_case		:	Dict					     =     args.output_dir
      Path(lowerCAmelCase_	).mkdir(exist_ok=lowerCAmelCase_	)
      _snake_case		:	Any					     =     get_base_command(lowerCAmelCase_			,      lowerCAmelCase_	)

      # split each dimension into its --foo variations
      _snake_case		:	Optional[int]					     =     [list(map(str.strip			,      re.split(R'''\|'''			,      lowerCAmelCase_	)	)	) for x in args.variations]
      # build a cartesian product of dimensions and convert those back into cmd-line arg strings,
      # while stripping white space for inputs that were empty
      _snake_case		:	int					     =     list(map(str.strip			,      map(''' '''.join			,      itertools.product(*lowerCAmelCase_	)	)	)	)
      _snake_case		:	Dict					     =     max(len(lowerCAmelCase_	) for x in variations	)

      # split wanted keys
      _snake_case		:	str					     =     args.report_metric_keys.split()

      # capture prints into a log file for convenience
      _snake_case		:	Any					     =     f'''benchmark-report-{datetime.datetime.now().strftime("%Y-%m-%d-%H-%M-%S"	)}.txt'''
      print(f'''\nNote: each run\'s output is also logged under {output_dir}/log.*.std*.txt'''	)
      print(f'''and this script\'s output is also piped into {report_fn}'''	)

      _snake_case		:	List[Any]					     =     Tee(lowerCAmelCase_	)

      print(f'''\n*** Running {len(lowerCAmelCase_	)} benchmarks:'''	)
      print(f'''Base command: {" ".join(lowerCAmelCase_	)}'''	)

      _snake_case		:	List[Any]					     =     '''variation'''
      _snake_case		:	Tuple					     =     []
      for id, variation in enumerate(tqdm(lowerCAmelCase_			,      desc='''Total completion: '''			,      leave=lowerCAmelCase_	)	):
            _snake_case		:	Optional[int]					     =     base_cmd + variation.split()
            results.append(
                process_run(
                    id + 1			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      args.target_metric_key			,      lowerCAmelCase_			,      args.repeat_times			,      lowerCAmelCase_			,      args.verbose			,      )	)

      process_results(lowerCAmelCase_			,      args.target_metric_key			,      lowerCAmelCase_			,      args.base_variation			,      lowerCAmelCase_	)


if __name__ == "__main__":
   main()









'''simple docstring'''

from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

UpperCAmelCase					:		Any		=							TypeVar('T')
UpperCAmelCase					:		str		=							TypeVar('U')





class lowerCamelCase						(Generic[T, U]					):







  def __init__(		self     ,     lowercase__     ,     lowercase__		)		->						List[Any]:






        """simple docstring"""





        _snake_case		:	str					     =     key
        _snake_case		:	Optional[int]					     =     val
        _snake_case		:	DoubleLinkedListNode[T, U] | None					     =     None
        _snake_case		:	DoubleLinkedListNode[T, U] | None					     =     None







  def __repr__(		self		)		->						str:






        """simple docstring"""





        return (
            F'''Node: key: {self.key}, val: {self.val}, '''
            F'''has next: {bool(self.next		)}, has prev: {bool(self.prev		)}'''
        )





class lowerCamelCase						(Generic[T, U]					):







  def __init__(		self		)		->						None:






        """simple docstring"""





        _snake_case		:	DoubleLinkedListNode[T, U]					     =     DoubleLinkedListNode(lowercase__     ,     lowercase__		)
        _snake_case		:	DoubleLinkedListNode[T, U]					     =     DoubleLinkedListNode(lowercase__     ,     lowercase__		)
        _snake_case     ,							_snake_case		:	Union[str, Any]					     =     self.rear, self.head







  def __repr__(		self		)		->						str:






        """simple docstring"""





        _snake_case		:	List[Any]					     =     ['''DoubleLinkedList''']
        _snake_case		:	str					     =     self.head
        while node.next is not None:
              rep.append(str(lowercase__		)		)
              _snake_case		:	List[str]					     =     node.next
        rep.append(str(self.rear		)		)
        return ",\n    ".join(lowercase__		)







  def 				UpperCAmelCase_				(		self     ,     lowercase__		)		->						None:






        """simple docstring"""





        _snake_case		:	Tuple					     =     self.rear.prev

        # All nodes other than self.head are guaranteed to have non-None previous
        assert previous is not None

        _snake_case		:	Union[str, Any]					     =     node
        _snake_case		:	Optional[Any]					     =     previous
        _snake_case		:	int					     =     node
        _snake_case		:	Union[str, Any]					     =     self.rear







  def 				UpperCAmelCase_				(		self     ,     lowercase__		)		->						DoubleLinkedListNode[T, U] | None:






        """simple docstring"""





        if node.prev is None or node.next is None:
              return None

        _snake_case		:	Optional[int]					     =     node.next
        _snake_case		:	Any					     =     node.prev
        _snake_case		:	List[str]					     =     None
        _snake_case		:	Optional[int]					     =     None
        return node





class lowerCamelCase						(Generic[T, U]					):
  _lowercase  :	dict[Callable[[T], U], LRUCache[T, U]]       					=				{}







  def __init__(		self     ,     lowercase__		)		->						Union[str, Any]:






        """simple docstring"""





        _snake_case		:	DoubleLinkedList[T, U]					     =     DoubleLinkedList()
        _snake_case		:	Union[str, Any]					     =     capacity
        _snake_case		:	int					     =     0
        _snake_case		:	Dict					     =     0
        _snake_case		:	Union[str, Any]					     =     0
        _snake_case		:	dict[T, DoubleLinkedListNode[T, U]]					     =     {}







  def __repr__(		self		)		->						str:






        """simple docstring"""





        return (
            F'''CacheInfo(hits={self.hits}, misses={self.miss}, '''
            F'''capacity={self.capacity}, current size={self.num_keys})'''
        )







  def __contains__(		self     ,     lowercase__		)		->						bool:






        """simple docstring"""





        return key in self.cache







  def 				UpperCAmelCase_				(		self     ,     lowercase__		)		->						U | None:






        """simple docstring"""





        if key in self.cache:
              self.hits += 1
              _snake_case		:	DoubleLinkedListNode[T, U]					     =     self.cache[key]
              _snake_case		:	Tuple					     =     self.list.remove(self.cache[key]		)
              assert node == value_node

              # node is guaranteed not None because it is in self.cache
              assert node is not None
              self.list.add(lowercase__		)
              return node.val
        self.miss += 1
        return None







  def 				UpperCAmelCase_				(		self     ,     lowercase__     ,     lowercase__		)		->						None:






        """simple docstring"""





        if key not in self.cache:
              if self.num_keys >= self.capacity:
                    # delete first node (oldest) when over capacity
                    _snake_case		:	Dict					     =     self.list.head.next

                    # guaranteed to have a non-None first node when num_keys > 0
                    # explain to type checker via assertions
                    assert first_node is not None
                    assert first_node.key is not None
                    assert (
                        self.list.remove(lowercase__		) is not None
                    )  # node guaranteed to be in list assert node.key is not None

                    del self.cache[first_node.key]
                    self.num_keys -= 1
              _snake_case		:	Optional[int]					     =     DoubleLinkedListNode(lowercase__     ,     lowercase__		)
              self.list.add(self.cache[key]		)
              self.num_keys += 1

        else:
              # bump node to the end of the list, update value
              _snake_case		:	Optional[Any]					     =     self.list.remove(self.cache[key]		)
              assert node is not None  # node guaranteed to be in list
              _snake_case		:	Optional[Any]					     =     value
              self.list.add(lowercase__		)







  @classmethod
  def 				UpperCAmelCase_				(		cls     ,     lowercase__ = 128		)		->						Callable[[Callable[[T], U]], Callable[..., U]]:






        """simple docstring"""





        def cache_decorator_inner(lowercase__		) -> Callable[..., U]:
              def cache_decorator_wrapper(*lowercase__		) -> U:
                    if func not in cls.decorator_function_to_instance_map:
                          _snake_case		:	Optional[Any]					     =     LRUCache(lowercase__		)

                    _snake_case		:	Union[str, Any]					     =     cls.decorator_function_to_instance_map[func].get(args[0]		)
                    if result is None:
                          _snake_case		:	Tuple					     =     func(*lowercase__		)
                          cls.decorator_function_to_instance_map[func].put(args[0]     ,     lowercase__		)
                    return result

              def cache_info() -> LRUCache[T, U]:
                    return cls.decorator_function_to_instance_map[func]

              setattr(lowercase__     ,     '''cache_info'''     ,     lowercase__		)  # noqa: B010

              return cache_decorator_wrapper

        return cache_decorator_inner


if __name__ == "__main__":
   import doctest

   doctest.testmod()


