





'''simple docstring'''




from datasets.utils.patching import _PatchedModuleObj, patch_submodule

from . import _test_patching




def 						__lowerCamelCase			(	)   ->Union[str, Any]:
	import os as original_os
	from os import path as original_path
	from os import rename as original_rename
	from os.path import dirname as original_dirname
	from os.path import join as original_join

	assert _test_patching.os is original_os
	assert _test_patching.path is original_path
	assert _test_patching.join is original_join

	assert _test_patching.renamed_os is original_os
	assert _test_patching.renamed_path is original_path
	assert _test_patching.renamed_join is original_join

	snake_case__	       =   '__test_patch_submodule_mock__'
	with patch_submodule(_test_patching					,				'os.path.join'					,				UpperCAmelCase_							):
		# Every way to access os.path.join must be patched, and the rest must stay untouched

		# check os.path.join
		assert isinstance(_test_patching.os					,				_PatchedModuleObj							)
		assert isinstance(_test_patching.os.path					,				_PatchedModuleObj							)
		assert _test_patching.os.path.join is mock

		# check path.join
		assert isinstance(_test_patching.path					,				_PatchedModuleObj							)
		assert _test_patching.path.join is mock

		# check join
		assert _test_patching.join is mock

		# check that the other attributes are untouched
		assert _test_patching.os.rename is original_rename
		assert _test_patching.path.dirname is original_dirname
		assert _test_patching.os.path.dirname is original_dirname

		# Even renamed modules or objects must be patched

		# check renamed_os.path.join
		assert isinstance(_test_patching.renamed_os					,				_PatchedModuleObj							)
		assert isinstance(_test_patching.renamed_os.path					,				_PatchedModuleObj							)
		assert _test_patching.renamed_os.path.join is mock

		# check renamed_path.join
		assert isinstance(_test_patching.renamed_path					,				_PatchedModuleObj							)
		assert _test_patching.renamed_path.join is mock

		# check renamed_join
		assert _test_patching.renamed_join is mock

		# check that the other attributes are untouched
		assert _test_patching.renamed_os.rename is original_rename
		assert _test_patching.renamed_path.dirname is original_dirname
		assert _test_patching.renamed_os.path.dirname is original_dirname

	# check that everthing is back to normal when the patch is over

	assert _test_patching.os is original_os
	assert _test_patching.path is original_path
	assert _test_patching.join is original_join

	assert _test_patching.renamed_os is original_os
	assert _test_patching.renamed_path is original_path
	assert _test_patching.renamed_join is original_join




def 						__lowerCamelCase			(	)   ->str:
	assert _test_patching.open is open

	snake_case__	       =   '__test_patch_submodule_builtin_mock__'
	# _test_patching has "open" in its globals
	assert _test_patching.open is open
	with patch_submodule(_test_patching					,				'open'					,				UpperCAmelCase_							):
		assert _test_patching.open is mock

	# check that everthing is back to normal when the patch is over

	assert _test_patching.open is open




def 						__lowerCamelCase			(	)   ->Tuple:
	# pandas.read_csv is not present in _test_patching
	snake_case__	       =   '__test_patch_submodule_missing_mock__'
	with patch_submodule(_test_patching					,				'pandas.read_csv'					,				UpperCAmelCase_							):
		pass




def 						__lowerCamelCase			(	)   ->List[Any]:
	# builtin should always be mocked even if they're not in the globals
	# in case they're loaded at one point
	snake_case__	       =   '__test_patch_submodule_missing_builtin_mock__'
	# _test_patching doesn't have "len" in its globals
	assert getattr(_test_patching					,				'len'					,				UpperCAmelCase_							) is None
	with patch_submodule(_test_patching					,				'len'					,				UpperCAmelCase_							):
		assert _test_patching.len is mock
	assert _test_patching.len is len




def 						__lowerCamelCase			(	)   ->Union[str, Any]:
	snake_case__	       =   '__test_patch_submodule_start_and_stop_mock__'
	snake_case__	       =   patch_submodule(_test_patching					,				'open'					,				UpperCAmelCase_							)
	assert _test_patching.open is open
	patch.start()
	assert _test_patching.open is mock
	patch.stop()
	assert _test_patching.open is open




def 						__lowerCamelCase			(	)   ->str:
	from os import rename as original_rename
	from os.path import dirname as original_dirname
	from os.path import join as original_join

	snake_case__	       =   '__test_patch_submodule_successive_join__'
	snake_case__	       =   '__test_patch_submodule_successive_dirname__'
	snake_case__	       =   '__test_patch_submodule_successive_rename__'
	assert _test_patching.os.path.join is original_join
	assert _test_patching.os.path.dirname is original_dirname
	assert _test_patching.os.rename is original_rename

	with patch_submodule(_test_patching					,				'os.path.join'					,				UpperCAmelCase_							):
		with patch_submodule(_test_patching					,				'os.rename'					,				UpperCAmelCase_							):
			with patch_submodule(_test_patching					,				'os.path.dirname'					,				UpperCAmelCase_							):
				assert _test_patching.os.path.join is mock_join
				assert _test_patching.os.path.dirname is mock_dirname
				assert _test_patching.os.rename is mock_rename

    # try another order
	with patch_submodule(_test_patching					,				'os.rename'					,				UpperCAmelCase_							):
		with patch_submodule(_test_patching					,				'os.path.join'					,				UpperCAmelCase_							):
			with patch_submodule(_test_patching					,				'os.path.dirname'					,				UpperCAmelCase_							):
				assert _test_patching.os.path.join is mock_join
				assert _test_patching.os.path.dirname is mock_dirname
				assert _test_patching.os.rename is mock_rename

	assert _test_patching.os.path.join is original_join
	assert _test_patching.os.path.dirname is original_dirname
	assert _test_patching.os.rename is original_rename







def 						__lowerCamelCase			(	)   ->str:
	snake_case__	       =   '__test_patch_submodule_doesnt_exist_mock__'
	with patch_submodule(_test_patching					,				'__module_that_doesn_exist__.__attribute_that_doesn_exist__'					,				UpperCAmelCase_							):
		pass
	with patch_submodule(_test_patching					,				'os.__attribute_that_doesn_exist__'					,				UpperCAmelCase_							):
		pass










'''simple docstring'''




import argparse
from pathlib import Path

import torch
from packaging import version
from torch.onnx import export

from diffusers import AutoencoderKL


a__					:			Optional[int]          =     version.parse(version.parse(torch.__version__).base_version) < version.parse('''1.11''')




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_=False					,				)   ->Optional[int]:
	output_path.parent.mkdir(parents=UpperCAmelCase_					,				exist_ok=UpperCAmelCase_							)
	# PyTorch deprecated the `enable_onnx_checker` and `use_external_data_format` arguments in v1.11,
	# so we check the torch version for backwards compatibility
	if is_torch_less_than_1_11:
		export(
		    UpperCAmelCase_					,				UpperCAmelCase_					,				f=output_path.as_posix()					,				input_names=UpperCAmelCase_					,				output_names=UpperCAmelCase_					,				dynamic_axes=UpperCAmelCase_					,				do_constant_folding=UpperCAmelCase_					,				use_external_data_format=UpperCAmelCase_					,				enable_onnx_checker=UpperCAmelCase_					,				opset_version=UpperCAmelCase_					,				)
	else:
		export(
		    UpperCAmelCase_					,				UpperCAmelCase_					,				f=output_path.as_posix()					,				input_names=UpperCAmelCase_					,				output_names=UpperCAmelCase_					,				dynamic_axes=UpperCAmelCase_					,				do_constant_folding=UpperCAmelCase_					,				opset_version=UpperCAmelCase_					,				)




@torch.no_grad()
def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_ = False							)   ->Union[str, Any]:
	snake_case__	       =   torch.floataa if fpaa else torch.floataa
	if fpaa and torch.cuda.is_available():
		snake_case__	       =   'cuda'
	elif fpaa and not torch.cuda.is_available():
		raise ValueError('`float16` model export is only supported on GPUs with CUDA'							)
	else:
		snake_case__	       =   'cpu'
	snake_case__	       =   Path(UpperCAmelCase_							)

	# VAE DECODER
	snake_case__	       =   AutoencoderKL.from_pretrained(model_path + '/vae'							)
	snake_case__	       =   vae_decoder.config.latent_channels
	# forward only through the decoder part
	snake_case__	       =   vae_decoder.decode
	onnx_export(
	    UpperCAmelCase_					,				model_args=(
	        torch.randn(1					,				UpperCAmelCase_					,				25					,				25							).to(device=UpperCAmelCase_					,				dtype=UpperCAmelCase_							),
	        False,
	    )					,				output_path=output_path / 'vae_decoder' / 'model.onnx'					,				ordered_input_names=['latent_sample', 'return_dict']					,				output_names=['sample']					,				dynamic_axes={
	        'latent_sample': {0: 'batch', 1: 'channels', 2: 'height', 3: 'width'},
	    }					,				opset=UpperCAmelCase_					,				)
	del vae_decoder


if __name__ == "__main__":
			a__					:			Optional[int]          =     argparse.ArgumentParser()

			parser.add_argument(
			    '''--model_path''',
			    type=str,
			    required=True,
			    help='''Path to the `diffusers` checkpoint to convert (either a local directory or on the Hub).''',
			)

			parser.add_argument('''--output_path''', type=str, required=True, help='''Path to the output model.''')
			parser.add_argument(
			    '''--opset''',
			    default=14,
			    type=int,
			    help='''The version of the ONNX operator set to use.''',
			)
			parser.add_argument('''--fp16''', action='''store_true''', default=False, help='''Export the models in `float16` mode''')

			a__					:			List[str]          =     parser.parse_args()
			print(args.output_path)
			convert_models(args.model_path, args.output_path, args.opset, args.fpaa)
			print('''SD: Done: ONNX''')



