message: Update tf.nn.max_pool docs for ksize/strides == 4
  ksize/strides == 4, instead of previous '>= 4'
  This fix fixes 10729.
diff: @@ -1721,9 +1721,9 @@ def avg_pool(value, ksize, strides, padding, data_format="NHWC", name=None):
  Args:
  value: A 4-D `Tensor` of shape `[batch, height, width, channels]` and type
  `float32`, `float64`, `qint8`, `quint8`, or `qint32`.
  - ksize: A list of ints that has length >= 4.
  + ksize: A 1-D int Tensor of 4 elements.
  The size of the window for each dimension of the input tensor.
  - strides: A list of ints that has length >= 4.
  + strides: A 1-D int Tensor of 4 elements
  The stride of the sliding window for each dimension of the
  input tensor.
  padding: A string, either `'VALID'` or `'SAME'`. The padding algorithm.
  @@ -1750,9 +1750,9 @@ def max_pool(value, ksize, strides, padding, data_format="NHWC", name=None):
  Args:
  value: A 4-D `Tensor` with shape `[batch, height, width, channels]` and
  type `tf.float32`.
  - ksize: A list of ints that has length >= 4. The size of the window for
  + ksize: A 1-D int Tensor of 4 elements. The size of the window for
  each dimension of the input tensor.
  - strides: A list of ints that has length >= 4. The stride of the sliding
  + strides: A 1-D int Tensor of 4 elements. The stride of the sliding
  window for each dimension of the input tensor.
  padding: A string, either `'VALID'` or `'SAME'`. The padding algorithm.
  See the @{tf.nn.convolution$comment here}
  