code: def transpose_x(x, perm, perform_transpose):
      x = tf.cond(
          perform_transpose,
          lambda: tf.transpose(x, perm=perm),
          lambda: x,
      )
      return x
  
imports: import math
  from typing import Union, Optional, Tuple, List, Literal, Sequence, Callable
  import tensorflow
  from ivy.func_wrapper import inputs_to_ivy_arrays, output_to_native_arrays, with_unsupported_dtypes, with_supported_dtypes, with_supported_device_and_dtypes
  from ..None import backend_version
  import ivy
  from ivy.functional.ivy.layers import _handle_padding, _get_num_padded_values, _validate_max_pool_params, _depth_max_pooling_helper
  from ivy.functional.ivy.experimental.layers import _padding_ceil_mode, _get_size
label_desc: Use image node_id 37 for calling a global function with example usage: transpose_x(x, perm, perform_transpose) and returns: x