code: def _transpose_padding_helper(k, s, padding, dilation, diff=0):
      k = (k - 1) * dilation + 1
      if padding == "SAME":
          pad_len = k + s - 2
          pad_len -= diff
          if s > k - 1:
              pad_a = k - 1
          else:
              pad_a = int(jnp.ceil(pad_len / 2))
      else:
          pad_len = k + s - 2 + max(k - s, 0)
          pad_a = k - 1
      pad_b = pad_len - pad_a
      return pad_a, pad_b
  
file_path: ivy/ivy/functional/backends/jax/layers.py
imports: import jax.lax
  import jax.numpy
  import ivy
  from ivy.functional.backends.jax import JaxArray
  from typing import Union, Tuple, Optional, Sequence
  from ivy.functional.ivy.layers import _handle_padding, _deconv_length, _get_x_data_format
label_desc: Use image node_id 1 for calling a global function with example usage: _transpose_padding_helper(k, s, padding, dilation, diff) and returns: pad_a,  pad_b