message: remove repetition
diff: @@ -2591,26 +2591,7 @@ def reduce_logsumexp_v1(input_tensor,
  reduction_indices)
  keepdims = deprecation.deprecated_argument_lookup("keepdims", keepdims,
  "keep_dims", keep_dims)
  - keepdims = False if keepdims is None else keepdims
  - input_tensor = ops.convert_to_tensor(input_tensor)
  - with ops.name_scope(name, "ReduceLogSumExp", [input_tensor]) as name:
  - reduce_dim = _ReductionDims(input_tensor, axis)
  - raw_max = reduce_max_with_dims(
  - input_tensor, axis=axis, keepdims=True, dims=reduce_dim)
  - my_max = array_ops.stop_gradient(
  - gen_math_ops.select(
  - gen_math_ops.is_finite(raw_max), raw_max,
  - gen_array_ops.zeros_like(raw_max)))
  - result = gen_math_ops.log(
  - reduce_sum_with_dims(
  - gen_math_ops.exp(gen_math_ops.sub(input_tensor, my_max)),
  - axis=axis,
  - keepdims=keepdims,
  - dims=reduce_dim))
  - if not keepdims:
  - my_max = array_ops.reshape(my_max, gen_array_ops.shape(result))
  - result = gen_math_ops.add(result, my_max)
  - return _may_reduce_to_scalar(keepdims, axis, result)
  + return reduce_logsumexp(input_tensor, axis, keepdims, name)
  @tf_export("math.reduce_logsumexp", "reduce_logsumexp", v1=[])
  