      _extract_args = "%s faceswap.py extract -i %s -o %s -D %s -A %s" % (
          py_exe, in_path, out_path, detector, aligner
      )
      if args:
          _extract_args += " %s" % args
      return _extract_args.split()
  
  
  def train_args(model, model_path, faces, alignments, iterations=5, batchsize=8, extra_args=""):
      """ Train command """
 
</s> remove     _extract_args = "%s faceswap.py extract -i %s -o %s -D %s -A %s" % (
        py_exe, in_path, out_path, detector, aligner
    )
 </s> add     _extract_args = (f"{py_exe} faceswap.py extract -i {in_path} -o {out_path} -D {detector} "
                     f"-A {aligner}") </s> remove def train_args(model, model_path, faces, alignments, iterations=5, batchsize=8, extra_args=""):
 </s> add def train_args(model, model_path, faces, iterations=1, batchsize=4, extra_args=""): </s> remove     args = "%s faceswap.py train -A %s -B %s -m %s -t %s -bs %i -it %s %s" % (
        py_exe, faces, faces, model_path, model, batchsize, iterations, extra_args
    )
 </s> add     args = (f"{py_exe} faceswap.py train -A {faces} -B {faces} -m {model_path} -t {model} "
            f"-bs {batchsize} -it {iterations} {extra_args}") </s> remove     conv_args = "%s faceswap.py convert -i %s -o %s -m %s -w %s" % (
        py_exe, in_path, out_path, model_path, writer
    )
 </s> add     conv_args = (f"{py_exe} faceswap.py convert -i {in_path} -o {out_path} -m {model_path} "
                 f"-w {writer}") </s> remove         conv_args += " %s" % args
 </s> add         conv_args += f" {args}"
        _extract_args += f" {args}"
      _extract_args = "%s faceswap.py extract -i %s -o %s -D %s -A %s" % (
          py_exe, in_path, out_path, detector, aligner
      )
      if args:
        _extract_args += f" {args}"
      return _extract_args.split()
  
  
  def train_args(model, model_path, faces, alignments, iterations=5, batchsize=8, extra_args=""):
      """ Train command """
keep keep keep keep replace keep keep keep keep keep
 Fix AMD Tests + docs 
tests/simple_tests.py