message: Initializer docstrings improvements (code formatting, etc).
diff: @@ -353,15 +353,15 @@ class VarianceScaling(init_ops_v2.VarianceScaling, Initializer):
  With `distribution="truncated_normal" or "untruncated_normal"`, samples are
  drawn from a truncated/untruncated normal distribution with a mean of zero and
  - a standard deviation (after truncation, if used) `stddev = sqrt(scale / n)`
  - where n is:
  + a standard deviation (after truncation, if used) `stddev = sqrt(scale / n)`,
  + where `n` is:
  - - number of input units in the weight tensor, if mode = "fan_in"
  - - number of output units, if mode = "fan_out"
  - - average of the numbers of input and output units, if mode = "fan_avg"
  + - number of input units in the weight tensor, if `mode="fan_in"`
  + - number of output units, if `mode="fan_out"`
  + - average of the numbers of input and output units, if `mode="fan_avg"`
  With `distribution="uniform"`, samples are drawn from a uniform distribution
  - within [-limit, limit], with `limit = sqrt(3 * scale / n)`.
  + within `[-limit, limit]`, where `limit = sqrt(3 * scale / n)`.
  Examples:
  @@ -495,10 +495,9 @@ class GlorotUniform(VarianceScaling):
  Also available via the shortcut function
  `tf.keras.initializers.glorot_uniform`.
  - Draws samples from a uniform distribution within [-limit, limit] where `limit`
  - is `sqrt(6 / (fan_in + fan_out))` where `fan_in` is the number of input units
  - in the weight tensor and `fan_out` is the number of output units in the weight
  - tensor.
  + Draws samples from a uniform distribution within `[-limit, limit]`, where
  + `limit = sqrt(6 / (fan_in + fan_out))` (`fan_in` is the number of input units
  + in the weight tensor and `fan_out` is the number of output units).
  Examples:
  @@ -631,9 +630,9 @@ class LecunUniform(VarianceScaling):
  Also available via the shortcut function
  `tf.keras.initializers.lecun_uniform`.
  - Draws samples from a uniform distribution within [-limit, limit] where `limit`
  - is `sqrt(3 / fan_in)` where `fan_in` is the number of input units in the
  - weight tensor.
  + Draws samples from a uniform distribution within `[-limit, limit]`,
  + where `limit = sqrt(3 / fan_in)` (`fan_in` is the number of input units in the
  + weight tensor).
  Examples:
  @@ -714,9 +713,9 @@ class HeUniform(VarianceScaling):
  Also available via the shortcut function
  `tf.keras.initializers.he_uniform`.
  - Draws samples from a uniform distribution within [-limit, limit] where `limit`
  - is `sqrt(6 / fan_in)` where `fan_in` is the number of input units in the
  - weight tensor.
  + Draws samples from a uniform distribution within `[-limit, limit]`, where
  + `limit = sqrt(6 / fan_in)` (`fan_in` is the number of input units in the
  + weight tensor).
  Examples:
  