


'''simple docstring'''
import importlib

import torch
import yaml
from omegaconf import OmegaConf
from taming.models.vqgan import VQModel

def 					lowerCamelCase_ ( __UpperCamelCase					:       List[str]							,    __UpperCamelCase					:       int=False		)					->	Optional[int]:







     """simple docstring"""
     _A				=							OmegaConf.load(__UpperCamelCase		)
     if display:
          print(yaml.dump(OmegaConf.to_container(__UpperCamelCase		)		)		)
     return config

def 					lowerCamelCase_ ( __UpperCamelCase					:       int							,    __UpperCamelCase					:       Dict=None							,    __UpperCamelCase					:       Any=None		)					->	List[Any]:







     """simple docstring"""
     if conf_path is None:
          _A				=							'./model_checkpoints/vqgan_only.yaml'
     _A				=							load_config(__UpperCamelCase							,    display=__UpperCamelCase		)
     _A				=							VQModel(**config.model.params		)
     if ckpt_path is None:
          _A				=							'./model_checkpoints/vqgan_only.pt'
     _A				=							torch.load(__UpperCamelCase							,    map_location=__UpperCamelCase		)
     if ".ckpt" in ckpt_path:
          _A				=							sd['state_dict']
     model.load_state_dict(__UpperCamelCase							,    strict=__UpperCamelCase		)
     model.to(__UpperCamelCase		)
     del sd
     return model

def 					lowerCamelCase_ ( __UpperCamelCase					:       List[str]							,    __UpperCamelCase					:       Tuple		)					->	Dict:







     """simple docstring"""
     _A		,				_A		,				_A				=							model.encode(__UpperCamelCase		)
     print(F'VQGAN --- {model.__class__.__name__}: latent shape: {z.shape[2:]}'		)
     _A				=							model.decode(__UpperCamelCase		)
     return xrec

def 					lowerCamelCase_ ( __UpperCamelCase					:       Any							,    __UpperCamelCase					:       Union[str, Any]=False		)					->	Optional[Any]:







     """simple docstring"""
     _A		,				_A				=							string.rsplit('.'							,    1		)
     if reload:
          _A				=							importlib.import_module(__UpperCamelCase		)
          importlib.reload(__UpperCamelCase		)
     return getattr(importlib.import_module(__UpperCamelCase							,    package=__UpperCamelCase		)							,    cls		)

def 					lowerCamelCase_ ( __UpperCamelCase					:       List[Any]		)					->	Dict:







     """simple docstring"""
     if "target" not in config:
          raise KeyError('Expected key `target` to instantiate.'		)
     return get_obj_from_str(config['target']		)(**config.get('params'							,    {}		)		)

def 					lowerCamelCase_ ( __UpperCamelCase					:       Optional[Any]							,    __UpperCamelCase					:       Optional[int]							,    __UpperCamelCase					:       Optional[int]=True							,    __UpperCamelCase					:       Tuple=True		)					->	int:







     """simple docstring"""
     _A				=							instantiate_from_config(__UpperCamelCase		)
     if sd is not None:
          model.load_state_dict(__UpperCamelCase		)
     if gpu:
          model.cuda()
     if eval_mode:
          model.eval()
     return {"model": model}

def 					lowerCamelCase_ ( __UpperCamelCase					:       List[Any]							,    __UpperCamelCase					:       Tuple							,    __UpperCamelCase					:       Optional[int]							,    __UpperCamelCase					:       Optional[Any]		)					->	Dict:







     """simple docstring"""
     # load the specified checkpoint
     if ckpt:
          _A				=							torch.load(__UpperCamelCase							,    map_location='cpu'		)
          _A				=							pl_sd['global_step']
          print(F'loaded model from global step {global_step}.'		)
     else:
          _A				=							{'state_dict': None}
          _A				=							None
     _A				=							load_model_from_config(config.model							,    pl_sd['state_dict']							,    gpu=__UpperCamelCase							,    eval_mode=__UpperCamelCase		)['model']
     return model, global_step









'''simple docstring'''
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import doctest
import sys
import warnings
from os.path import abspath, dirname, join

import _pytest

from transformers.testing_utils import HfDoctestModule, HfDocTestParser


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
lowerCAmelCase						=					abspath(join(dirname(__file__), """src"""))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action="""ignore""", category=FutureWarning)

def 					lowerCamelCase_ ( __UpperCamelCase					:       Optional[Any]		)					->	str:







     """simple docstring"""
     config.addinivalue_line(
         'markers'							,    'is_pt_tf_cross_test: mark test to run only when PT and TF interactions are tested'		)
     config.addinivalue_line(
         'markers'							,    'is_pt_flax_cross_test: mark test to run only when PT and FLAX interactions are tested'		)
     config.addinivalue_line('markers'							,    'is_pipeline_test: mark test to run only when pipelines are tested'		)
     config.addinivalue_line('markers'							,    'is_staging_test: mark test to run only in the staging environment'		)
     config.addinivalue_line('markers'							,    'accelerate_tests: mark test that require accelerate'		)
     config.addinivalue_line('markers'							,    'tool_tests: mark the tool tests that are run on their specific schedule'		)

def 					lowerCamelCase_ ( __UpperCamelCase					:       Tuple		)					->	List[str]:







     """simple docstring"""
     from transformers.testing_utils import pytest_addoption_shared

     pytest_addoption_shared(__UpperCamelCase		)

def 					lowerCamelCase_ ( __UpperCamelCase					:       Union[str, Any]		)					->	str:







     """simple docstring"""
     from transformers.testing_utils import pytest_terminal_summary_main

     _A				=							terminalreporter.config.getoption('--make-reports'		)
     if make_reports:
          pytest_terminal_summary_main(__UpperCamelCase							,    id=__UpperCamelCase		)

def 					lowerCamelCase_ ( __UpperCamelCase					:       str							,    __UpperCamelCase					:       List[str]		)					->	Optional[int]:







     """simple docstring"""
     # If no tests are collected, pytest exists with code 5, which makes the CI fail.
     if exitstatus == 5:
          _A				=							0


# Doctest custom flag to ignore output.
lowerCAmelCase						=					doctest.register_optionflag("""IGNORE_RESULT""")

lowerCAmelCase						=					doctest.OutputChecker






class        lowerCAmelCase_  (     UpperCAmelCase	):






       def   UpperCamelCase						( self			,     _UpperCamelCase			,     _UpperCamelCase			,     _UpperCamelCase   )->      Tuple:
            if IGNORE_RESULT & optionflags:
                 return True
            return OutputChecker.check_output(self			,     _UpperCamelCase			,     _UpperCamelCase			,     _UpperCamelCase   )






lowerCAmelCase						=					CustomOutputChecker
lowerCAmelCase						=					HfDoctestModule
lowerCAmelCase						=					HfDocTestParser





