message: Updated with code formatting for SparseConditionalAccumulator
  Adding code formatting for SparseConditionalAccumulator comment
diff: @@ -1330,7 +1330,7 @@ class ConditionalAccumulator(ConditionalAccumulatorBase):
  class SparseConditionalAccumulator(ConditionalAccumulatorBase):
  """A conditional accumulator for aggregating sparse gradients.
  - Sparse gradients are represented by IndexedSlices.
  + Sparse gradients are represented by `IndexedSlices`.
  Up-to-date gradients (i.e., time step at which gradient was computed is
  equal to the accumulator's time step) are added to the accumulator.
  @@ -1365,11 +1365,11 @@ class SparseConditionalAccumulator(ConditionalAccumulatorBase):
  def apply_indexed_slices_grad(self, grad, local_step=0, name=None):
  """Attempts to apply a gradient to the accumulator.
  - The attempt is silently dropped if the gradient is stale, i.e., local_step
  + The attempt is silently dropped if the gradient is stale, i.e., `local_step`
  is less than the accumulator's global time step.
  Args:
  - grad: The gradient IndexedSlices to be applied.
  + grad: The gradient `IndexedSlices` to be applied.
  local_step: Time step at which the gradient was computed.
  name: Optional name for the operation.
  @@ -1394,7 +1394,7 @@ class SparseConditionalAccumulator(ConditionalAccumulatorBase):
  name=None):
  """Attempts to apply a sparse gradient to the accumulator.
  - The attempt is silently dropped if the gradient is stale, i.e., local_step
  + The attempt is silently dropped if the gradient is stale, i.e., `local_step`
  is less than the accumulator's global time step.
  A sparse gradient is represented by its indices, values and possibly empty
  @@ -1453,7 +1453,7 @@ class SparseConditionalAccumulator(ConditionalAccumulatorBase):
  A tuple of indices, values, and shape representing the average gradient.
  Raises:
  - InvalidArgumentError: If num_required < 1
  + InvalidArgumentError: If `num_required` < 1
  """
  return gen_data_flow_ops.sparse_accumulator_take_gradient(
  self._accumulator_ref, num_required, dtype=self._dtype, name=name)
  @@ -1474,10 +1474,10 @@ class SparseConditionalAccumulator(ConditionalAccumulatorBase):
  name: Optional name for the operation
  Returns:
  - An IndexedSlices holding the value of the average gradient.
  + An `IndexedSlices` holding the value of the average gradient.
  Raises:
  - InvalidArgumentError: If num_required < 1
  + InvalidArgumentError: If `num_required` < 1
  """
  return_val = gen_data_flow_ops.sparse_accumulator_take_gradient(
  self._accumulator_ref, num_required, dtype=self._dtype, name=name)
  