

"""simple docstring"""






import importlib

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



def   lowercase_	(    _lowercase       :		Any							,      _lowercase       :		List[Any]=False	):




					'''simple docstring'''






					UpperCAmelCase			:   str      =				OmegaConf.load(_lowercase	)
					if display:
										print(yaml.dump(OmegaConf.to_container(_lowercase	)	)	)
					return config



def   lowercase_	(    _lowercase       :		Optional[int]							,      _lowercase       :		int=None							,      _lowercase       :		Tuple=None	):




					'''simple docstring'''






					if conf_path is None:
										UpperCAmelCase			:   Optional[Any]      =				"./model_checkpoints/vqgan_only.yaml"
					UpperCAmelCase			:   Union[str, Any]      =				load_config(_lowercase							,      display=_lowercase	)
					UpperCAmelCase			:   int      =				VQModel(**config.model.params	)
					if ckpt_path is None:
										UpperCAmelCase			:   Tuple      =				"./model_checkpoints/vqgan_only.pt"
					UpperCAmelCase			:   int      =				torch.load(_lowercase							,      map_location=_lowercase	)
					if ".ckpt" in ckpt_path:
										UpperCAmelCase			:   List[str]      =				sd["state_dict"]
					model.load_state_dict(_lowercase							,      strict=_lowercase	)
					model.to(_lowercase	)
					del sd
					return model



def   lowercase_	(    _lowercase       :		List[Any]							,      _lowercase       :		Optional[int]	):




					'''simple docstring'''






					UpperCAmelCase      ,							UpperCAmelCase      ,							UpperCAmelCase			:   str      =				model.encode(_lowercase	)
					print(F"""VQGAN --- {model.__class__.__name__}: latent shape: {z.shape[2:]}"""	)
					UpperCAmelCase			:   List[str]      =				model.decode(_lowercase	)
					return xrec



def   lowercase_	(    _lowercase       :		Dict							,      _lowercase       :		List[str]=False	):




					'''simple docstring'''






					UpperCAmelCase      ,							UpperCAmelCase			:   List[str]      =				string.rsplit("."							,      1	)
					if reload:
										UpperCAmelCase			:   Optional[int]      =				importlib.import_module(_lowercase	)
										importlib.reload(_lowercase	)
					return getattr(importlib.import_module(_lowercase							,      package=_lowercase	)							,      cls	)



def   lowercase_	(    _lowercase       :		int	):




					'''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   lowercase_	(    _lowercase       :		Optional[Any]							,      _lowercase       :		Dict							,      _lowercase       :		Optional[int]=True							,      _lowercase       :		str=True	):




					'''simple docstring'''






					UpperCAmelCase			:   Union[str, Any]      =				instantiate_from_config(_lowercase	)
					if sd is not None:
										model.load_state_dict(_lowercase	)
					if gpu:
										model.cuda()
					if eval_mode:
										model.eval()
					return {"model": model}




def   lowercase_	(    _lowercase       :		str							,      _lowercase       :		Optional[int]							,      _lowercase       :		Optional[Any]							,      _lowercase       :		Dict	):




					'''simple docstring'''






					if ckpt:
										UpperCAmelCase			:   Dict      =				torch.load(_lowercase							,      map_location="cpu"	)
										UpperCAmelCase			:   List[str]      =				pl_sd["global_step"]
										print(F"""loaded model from global step {global_step}."""	)
					else:
										UpperCAmelCase			:   Union[str, Any]      =				{"state_dict": None}
										UpperCAmelCase			:   Any      =				None
					UpperCAmelCase			:   List[str]      =				load_model_from_config(config.model							,      pl_sd["state_dict"]							,      gpu=_lowercase							,      eval_mode=_lowercase	)["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.
snake_case_   :   Union[str, Any]        =       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   lowercase_	(    _lowercase       :		List[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   lowercase_	(    _lowercase       :		List[str]	):




					'''simple docstring'''






					from transformers.testing_utils import pytest_addoption_shared

					pytest_addoption_shared(_lowercase	)



def   lowercase_	(    _lowercase       :		Tuple	):




					'''simple docstring'''






					from transformers.testing_utils import pytest_terminal_summary_main

					UpperCAmelCase			:   Optional[int]      =				terminalreporter.config.getoption("--make-reports"	)
					if make_reports:
										pytest_terminal_summary_main(_lowercase							,      id=_lowercase	)



def   lowercase_	(    _lowercase       :		str							,      _lowercase       :		Dict	):




					'''simple docstring'''






					if exitstatus == 5:
										UpperCAmelCase			:   List[str]      =				0


# Doctest custom flag to ignore output.
snake_case_   :   Union[str, Any]        =       doctest.register_optionflag("""IGNORE_RESULT""")

snake_case_   :   Optional[int]        =       doctest.OutputChecker







class       snake_case__  ( lowerCAmelCase_     ):







			def 			__lowerCAmelCase				(			self			: List[Any]			,  lowercase			: Tuple			,  lowercase			: Optional[Any]			,  lowercase			: int  ):





								'''simple docstring'''



								if IGNORE_RESULT & optionflags:
													return True
								return OutputChecker.check_output(self			,  lowercase			,  lowercase			,  lowercase  )

snake_case_   :   List[str]        =       CustomOutputChecker
snake_case_   :   Optional[Any]        =       HfDoctestModule




snake_case_   :   List[str]        =       HfDocTestParser


