message: Fix the documentation for the dense layer for how rank > 2 inputs are handled.
diff: @@ -49,9 +49,6 @@ class Dense(base.Layer):
  and `bias` is a bias vector created by the layer
  (only if `use_bias` is `True`).
  - Note: if the input to the layer has a rank greater than 2, then it is
  - flattened prior to the initial matrix multiply by `kernel`.
  -
  Arguments:
  units: Integer or Long, dimensionality of the output space.
  activation: Activation function (callable). Set it to None to maintain a
  @@ -199,9 +196,6 @@ def dense(
  and `bias` is a bias vector created by the layer
  (only if `use_bias` is `True`).
  - Note: if the `inputs` tensor has a rank greater than 2, then it is
  - flattened prior to the initial matrix multiply by `kernel`.
  -
  Arguments:
  inputs: Tensor input.
  units: Integer or Long, dimensionality of the output space.
  @@ -230,7 +224,8 @@ def dense(
  by the same name.
  Returns:
  - Output tensor.
  + Output tensor the same shape as `inputs` except the last dimension is of
  + size `units`.
  Raises:
  ValueError: if eager execution is enabled.
  