code: def test_tflite_separate_channel_pad(
      ifm_shape,
      channel_padding,
      const_value,
  ):
      np.random.seed(0)
  
      @tf.function
      def concat_func(x):
          x = tf.pad(
              x,
              [
                  [0, 0],
                  [0, 0],
                  [0, 0],
                  [channel_padding[0], channel_padding[1]],
              ],
              "CONSTANT",
              const_value,
          )
          return x
  
      infra.compare_tvm_with_tflite(
          concat_func,
          [ifm_shape],
          "ethos-u55-256",
          enable_cascader=False,
      )
  
imports: import pytest
  import numpy
  import tflite.Model
  import tvm
  import tensorflow
  from tvm import relay
  from tvm.relay.backend.contrib.ethosu import util
  from tvm.relay.op.contrib.ethosu import partition_for_ethosu
  from tvm.testing.aot import generate_ref_data
  from .None import infra
label_desc: Use image node_id 10 for calling a global function with example usage: test_tflite_separate_channel_pad(ifm_shape, channel_padding, const_value) and returns: x