code: def test_cropping_1d(self, use_cpu_only, backend, begin_end):
      shape = (1, 10, 3)
      model = tf.keras.Sequential(
          [
              tf.keras.layers.Cropping1D(
                  batch_input_shape=shape, cropping=begin_end
              )
          ]
      )
      run_compare_tf_keras(
          model,
          [random_gen(shape, rand_min=-1, rand_max=1)],
          use_cpu_only=use_cpu_only,
          backend=backend,
      )
  
imports: import random
  from coremltools.converters.mil import testing_reqs
  from coremltools.converters.mil.frontend.tensorflow2.test.testing_utils import run_compare_tf_keras
  from coremltools.converters.mil.testing_reqs import *
label_desc: Use image node_id 1 for calling the TestCropping obj's underlying member method code with example usage: obj.test_cropping_1d(use_cpu_only, backend, begin_end) without return types