




import argparse
from pathlib import Path

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

from diffusers import AutoencoderKL


__a							     =					version.parse(version.parse(torch.__version__).base_version) < version.parse('1.11')







def lowerCamelCase__  (     _lowercase					,		_lowercase					,		_lowercase					,		_lowercase					,		_lowercase					,		_lowercase					,		_lowercase					,		_lowercase=False					,		):

     '''simple docstring'''


     output_path.parent.mkdir(parents=_lowercase					,		exist_ok=_lowercase )
     # 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(
              _lowercase					,		_lowercase					,		f=output_path.as_posix()					,		input_names=_lowercase					,		output_names=_lowercase					,		dynamic_axes=_lowercase					,		do_constant_folding=_lowercase					,		use_external_data_format=_lowercase					,		enable_onnx_checker=_lowercase					,		opset_version=_lowercase					,		)
     else:
          export(
              _lowercase					,		_lowercase					,		f=output_path.as_posix()					,		input_names=_lowercase					,		output_names=_lowercase					,		dynamic_axes=_lowercase					,		do_constant_folding=_lowercase					,		opset_version=_lowercase					,		)







@torch.no_grad()
def lowerCamelCase__  (     _lowercase					,		_lowercase					,		_lowercase					,		_lowercase = False ):

     '''simple docstring'''


     UpperCAmelCase_     :				Any  =     torch.floataa if fpaa else torch.floataa
     if fpaa and torch.cuda.is_available():
          UpperCAmelCase_     :				Tuple  =     '''cuda'''
     elif fpaa and not torch.cuda.is_available():
          raise ValueError('''`float16` model export is only supported on GPUs with CUDA''' )
     else:
          UpperCAmelCase_     :				Optional[int]  =     '''cpu'''
     UpperCAmelCase_     :				List[str]  =     Path(_lowercase )

     # VAE DECODER
     UpperCAmelCase_     :				Optional[Any]  =     AutoencoderKL.from_pretrained(model_path + '''/vae''' )
     UpperCAmelCase_     :				Union[str, Any]  =     vae_decoder.config.latent_channels
     # forward only through the decoder part
     UpperCAmelCase_     :				Optional[Any]  =     vae_decoder.decode
     onnx_export(
         _lowercase					,		model_args=(
             torch.randn(1					,		_lowercase					,		25					,		25 ).to(device=_lowercase					,		dtype=_lowercase ),
             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=_lowercase					,		)
     del vae_decoder


if __name__ == "__main__":
     __a							     =					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							     =					parser.parse_args()
     print(args.output_path)
     convert_models(args.model_path, args.output_path, args.opset, args.fpaa)
     print('SD: Done: ONNX')



'''simple docstring'''







from math import pi, sqrt, tan






def       lowercase					(_A       ):







       """simple docstring"""







       if side_length < 0:
              raise ValueError('surface_area_cube() only accepts non-negative values'       )
       return 6 * side_length**2






def       lowercase					(_A ,    _A ,    _A       ):







       """simple docstring"""







       if length < 0 or breadth < 0 or height < 0:
              raise ValueError('surface_area_cuboid() only accepts non-negative values'       )
       return 2 * ((length * breadth) + (breadth * height) + (length * height))






def       lowercase					(_A       ):







       """simple docstring"""







       if radius < 0:
              raise ValueError('surface_area_sphere() only accepts non-negative values'       )
       return 4 * pi * radius**2






def       lowercase					(_A       ):







       """simple docstring"""







       if radius < 0:
              raise ValueError('surface_area_hemisphere() only accepts non-negative values'       )
       return 3 * pi * radius**2






def       lowercase					(_A ,    _A       ):







       """simple docstring"""







       if radius < 0 or height < 0:
              raise ValueError('surface_area_cone() only accepts non-negative values'       )
       return pi * radius * (radius + (height**2 + radius**2) ** 0.5)






def       lowercase					(_A ,    _A ,    _A       ):







       """simple docstring"""







       if radius_a < 0 or radius_a < 0 or height < 0:
              raise ValueError(
                  'surface_area_conical_frustum() only accepts non-negative values'       )
       _lowerCAmelCase     :				int       =							(height**2 + (radius_a - radius_a) ** 2) ** 0.5
       return pi * ((slant_height * (radius_a + radius_a)) + radius_a**2 + radius_a**2)






def       lowercase					(_A ,    _A       ):







       """simple docstring"""







       if radius < 0 or height < 0:
              raise ValueError('surface_area_cylinder() only accepts non-negative values'       )
       return 2 * pi * radius * (height + radius)






def       lowercase					(_A ,    _A       ):







       """simple docstring"""







       if torus_radius < 0 or tube_radius < 0:
              raise ValueError('surface_area_torus() only accepts non-negative values'       )
       if torus_radius < tube_radius:
              raise ValueError(
                  'surface_area_torus() does not support spindle or self intersecting tori'       )
       return 4 * pow(_A ,    2       ) * torus_radius * tube_radius






def       lowercase					(_A ,    _A       ):







       """simple docstring"""







       if length < 0 or width < 0:
              raise ValueError('area_rectangle() only accepts non-negative values'       )
       return length * width






def       lowercase					(_A       ):







       """simple docstring"""







       if side_length < 0:
              raise ValueError('area_square() only accepts non-negative values'       )
       return side_length**2






def       lowercase					(_A ,    _A       ):







       """simple docstring"""







       if base < 0 or height < 0:
              raise ValueError('area_triangle() only accepts non-negative values'       )
       return (base * height) / 2






def       lowercase					(_A ,    _A ,    _A       ):







       """simple docstring"""







       if sidea < 0 or sidea < 0 or sidea < 0:
              raise ValueError('area_triangle_three_sides() only accepts non-negative values'       )
       elif sidea + sidea < sidea or sidea + sidea < sidea or sidea + sidea < sidea:
              raise ValueError('Given three sides do not form a triangle'       )
       _lowerCAmelCase     :				Tuple       =							(sidea + sidea + sidea) / 2
       _lowerCAmelCase     :				Dict       =							sqrt(
           semi_perimeter
           * (semi_perimeter - sidea)
           * (semi_perimeter - sidea)
           * (semi_perimeter - sidea)       )
       return area






def       lowercase					(_A ,    _A       ):







       """simple docstring"""







       if base < 0 or height < 0:
              raise ValueError('area_parallelogram() only accepts non-negative values'       )
       return base * height






def       lowercase					(_A ,    _A ,    _A       ):







       """simple docstring"""







       if basea < 0 or basea < 0 or height < 0:
              raise ValueError('area_trapezium() only accepts non-negative values'       )
       return 1 / 2 * (basea + basea) * height






def       lowercase					(_A       ):







       """simple docstring"""







       if radius < 0:
              raise ValueError('area_circle() only accepts non-negative values'       )
       return pi * radius**2






def       lowercase					(_A ,    _A       ):







       """simple docstring"""







       if radius_x < 0 or radius_y < 0:
              raise ValueError('area_ellipse() only accepts non-negative values'       )
       return pi * radius_x * radius_y






def       lowercase					(_A ,    _A       ):







       """simple docstring"""







       if diagonal_a < 0 or diagonal_a < 0:
              raise ValueError('area_rhombus() only accepts non-negative values'       )
       return 1 / 2 * diagonal_a * diagonal_a






def       lowercase					(_A ,    _A       ):







       """simple docstring"""







       if not isinstance(_A ,    _A       ) or sides < 3:
              raise ValueError(
                  'area_reg_polygon() only accepts integers greater than or \
equal to three as number of sides'       )
       elif length < 0:
              raise ValueError(
                  'area_reg_polygon() only accepts non-negative values as \
length of a side'       )
       return (sides * length**2) / (4 * tan(pi / sides       ))
       return (sides * length**2) / (4 * tan(pi / sides       ))


if __name__ == "__main__":
       import doctest

       doctest.testmod(verbose=True)  # verbose so we can see methods missing tests

       print("""[DEMO] Areas of various geometric shapes: \n""")
       print(F'''Rectangle: {area_rectangle(10, 20) = }''')
       print(F'''Square: {area_square(10) = }''')
       print(F'''Triangle: {area_triangle(10, 10) = }''')
       print(F'''Triangle: {area_triangle_three_sides(5, 12, 13) = }''')
       print(F'''Parallelogram: {area_parallelogram(10, 20) = }''')
       print(F'''Rhombus: {area_rhombus(10, 20) = }''')
       print(F'''Trapezium: {area_trapezium(10, 20, 30) = }''')
       print(F'''Circle: {area_circle(20) = }''')
       print(F'''Ellipse: {area_ellipse(10, 20) = }''')
       print("""\nSurface Areas of various geometric shapes: \n""")
       print(F'''Cube: {surface_area_cube(20) = }''')
       print(F'''Cuboid: {surface_area_cuboid(10, 20, 30) = }''')
       print(F'''Sphere: {surface_area_sphere(20) = }''')
       print(F'''Hemisphere: {surface_area_hemisphere(20) = }''')
       print(F'''Cone: {surface_area_cone(10, 20) = }''')
       print(F'''Conical Frustum: {surface_area_conical_frustum(10, 20, 30) = }''')
       print(F'''Cylinder: {surface_area_cylinder(10, 20) = }''')
       print(F'''Torus: {surface_area_torus(20, 10) = }''')
       print(F'''Equilateral Triangle: {area_reg_polygon(3, 10) = }''')
       print(F'''Square: {area_reg_polygon(4, 10) = }''')
       print(F'''Reqular Pentagon: {area_reg_polygon(5, 10) = }''')

