



import argparse
from pathlib import Path

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

from diffusers import AutoencoderKL


a__      :				List[str]   	=			version.parse(version.parse(torch.__version__).base_version) < version.parse("1.11")

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

@torch.no_grad()
def   _lowerCAmelCase   (						A__						,  A__						,  A__						,  A__ = False	):
      lowercase__     =  torch.floataa if fpaa else torch.floataa
      if fpaa and torch.cuda.is_available():
            lowercase__     =  'cuda'
      elif fpaa and not torch.cuda.is_available():
            raise ValueError('`float16` model export is only supported on GPUs with CUDA'	)
      else:
            lowercase__     =  'cpu'
      lowercase__     =  Path(A__	)

      # VAE DECODER
      lowercase__     =  AutoencoderKL.from_pretrained(model_path + '/vae'	)
      lowercase__     =  vae_decoder.config.latent_channels
      # forward only through the decoder part
      lowercase__     =  vae_decoder.decode
      onnx_export(
          A__						,  model_args=(
              torch.randn(1						,  A__						,  25						,  25	).to(device=A__						,  dtype=A__	),
              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=A__						,  )
      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__      :				Any   	=			parser.parse_args()
       print(args.output_path)
       convert_models(args.model_path, args.output_path, args.opset, args.fpaa)
       print("SD: Done: ONNX")





import math
import sys

def   _lowerCAmelCase   (						A__	):
      lowercase__     =  ''
      try:
            with open(A__						,  'rb'	) as binary_file:
                  lowercase__     =  binary_file.read()
            for dat in data:
                  lowercase__     =  F'''{dat:08b}'''
                  result += curr_byte
            return result
      except OSError:
            print('File not accessible'	)
            sys.exit()

def   _lowerCAmelCase   (						A__	):
      lowercase__     =  {'0': '0', '1': '1'}
      lowercase__,	lowercase__     =  '', ''
      lowercase__     =  len(A__	)

      for i in range(len(A__	)	):
            curr_string += data_bits[i]
            if curr_string not in lexicon:
                  continue

            lowercase__     =  lexicon[curr_string]
            result += last_match_id
            lowercase__     =  last_match_id + '0'

            if math.loga(A__	).is_integer():
                  lowercase__     =  {}
                  for curr_key in list(A__	):
                        lowercase__     =  lexicon.pop(A__	)
                  lowercase__     =  new_lex

            lowercase__     =  last_match_id + '1'
            index += 1
            lowercase__     =  ''
      return result

def   _lowerCAmelCase   (						A__						,  A__	):
      lowercase__     =  8
      try:
            with open(A__						,  'wb'	) as opened_file:
                  lowercase__     =  [
                      to_write[i : i + byte_length]
                      for i in range(0						,  len(A__	)						,  A__	)
                  ]

                  if len(result_byte_array[-1]	) % byte_length == 0:
                        result_byte_array.append('10000000'	)
                  else:
                        result_byte_array[-1] += "1" + "0" * (
                            byte_length - len(result_byte_array[-1]	) - 1
                        )

                  for elem in result_byte_array[:-1]:
                        opened_file.write(int(A__						,  2	).to_bytes(1						,  byteorder='big'	)	)
      except OSError:
            print('File not accessible'	)
            sys.exit()

def   _lowerCAmelCase   (						A__	):
      lowercase__     =  0
      for letter in data_bits:
            if letter == "1":
                  break
            counter += 1

      lowercase__     =  data_bits[counter:]
      lowercase__     =  data_bits[counter + 1 :]
      return data_bits

def   _lowerCAmelCase   (						A__						,  A__	):
      lowercase__     =  read_file_binary(A__	)
      lowercase__     =  remove_prefix(A__	)
      lowercase__     =  decompress_data(A__	)
      write_file_binary(A__						,  A__	)


if __name__ == "__main__":
       compress(sys.argv[1], sys.argv[2])
