code: def test_op_slice_sequence(
      input_data, slice_params, expected_result, device_id, precision
  ):
      input_data = AA(input_data, dtype=PRECISION_TO_TYPE[precision])
  
      t = Axis.new_unique_dynamic_axis("t")
      sample_shape = input_data.shape[1:]
      a = C.sequence.input_variable(
          shape=sample_shape,
          dtype=sanitize_dtype_cntk(PRECISION_TO_TYPE[precision]),
          needs_gradient=True,
          sequence_axis=t,
          name="a",
      )
  
      result = C.sequence.slice(
          a, begin_index=slice_params[0], end_index=slice_params[1]
      )
  
      def grad_slice(x, beg_index, end_index):
          res = np.zeros_like(x)
          res[beg_index:end_index] = 1
          return res
  
      expected_forward = AA(
          [expected_result], dtype=PRECISION_TO_TYPE[precision]
      )
      expected_backward = {
          a: [grad_slice(np.asarray(input_data), *slice_params)]
      }
  
      # create batch
      input_data.shape = (1,) + input_data.shape
  
      forward_input = {a: input_data}
      unittest_helper(
          result,
          forward_input,
          expected_forward,
          expected_backward,
          device_id=device_id,
          precision=precision,
      )
  
imports: from __future__ import division
  import numpy
  import cntk
  import pytest
  from .ops_test_utils import unittest_helper, _test_unary_op, _test_binary_op, AA, precision, PRECISION_TO_TYPE, cntk_device
  import cntk
  from cntk import Value
  from cntk.axis import Axis
  from cntk.internal import sanitize_dtype_cntk
  from ..None import constant
label_desc: Use image node_id 7 for calling a global function with example usage: test_op_slice_sequence(input_data, slice_params, expected_result, device_id, precision) and returns: res