code: def unique(
      input,
      sorted=True,
      return_inverse=False,
      return_counts=False,
      dim=None,
  ):
      if dim is not None:
          sorted = True
      results = ivy.unique_all(input, axis=dim, by_value=sorted)
      ret = (
          (results.values,)
          if return_counts or return_inverse
          else results.values
      )
      if return_inverse:
          inverse_indices = results.inverse_indices
          if dim is None:
              inverse_indices = inverse_indices.reshape(input.shape)
          ret += (results.inverse_indices,)
      if return_counts:
          ret += (results.counts,)
      return ret
  
imports: import ivy
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back, numpy_to_torch_style_args
  from collections import namedtuple
  import ivy.functional.frontends.torch
label_desc: Use image node_id 25 for calling a global function with example usage: unique(input, sorted, return_inverse, return_counts, dim) and returns: ret