code: def testIndicesWithDifferentDimensions(self):
      with self.session():
          for dtype in self.numeric_tf_types:
              params = array_ops.placeholder(dtype=dtype)
              indices = array_ops.placeholder(dtype=np.int32)
              with self.test_scope():
                  gather = array_ops.gather(params, indices)
              self.assertAllEqual(
                  7,
                  gather.eval(
                      feed_dict={params: [4, 7, 2], indices: 1}
                  ),
              )
              self.assertAllEqual(
                  [7],
                  gather.eval(
                      feed_dict={params: [4, 7, 2], indices: [1]}
                  ),
              )
              self.assertAllEqual(
                  [[7]],
                  gather.eval(
                      feed_dict={params: [4, 7, 2], indices: [[1]]}
                  ),
              )
  
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import flags
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the GatherTest obj's underlying member method code with example usage: obj.testIndicesWithDifferentDimensions() without return types