class_docstr: Represents the value of one dimension in a TensorShape.
class_docstr_tok: ["Represents","the","value","of","one","dimension","in","a","TensorShape","."]
docstr: Returns the quotient of `self` and `other` rounded down.
  
  Dimensions are divided as follows:
  
  ```python
  tf.Dimension(m)    // tf.Dimension(n)    == tf.Dimension(m // n)
  tf.Dimension(m)    // tf.Dimension(None) == tf.Dimension(None)
  tf.Dimension(None) // tf.Dimension(n)    == tf.Dimension(None)
  tf.Dimension(None) // tf.Dimension(None) == tf.Dimension(None)
  ```
  
  Args:
    other: Another Dimension, or a value accepted by `as_dimension`.
  
  Returns:
    A `Dimension` whose value is the integer quotient of `self` and `other`.
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code: def __floordiv__(self, other):
      """Returns the quotient of `self` and `other` rounded down.
  
      Dimensions are divided as follows:
  
      ```python
      tf.Dimension(m)    // tf.Dimension(n)    == tf.Dimension(m // n)
      tf.Dimension(m)    // tf.Dimension(None) == tf.Dimension(None)
      tf.Dimension(None) // tf.Dimension(n)    == tf.Dimension(None)
      tf.Dimension(None) // tf.Dimension(None) == tf.Dimension(None)
      ```
  
      Args:
        other: Another Dimension, or a value accepted by `as_dimension`.
  
      Returns:
        A `Dimension` whose value is the integer quotient of `self` and `other`.
      """
      try:
          other = as_dimension(other)
      except (TypeError, ValueError):
          return NotImplemented
      if self._value is None or other.value is None:
          return Dimension(None)
      else:
          return Dimension(self._value // other.value)
  
imports: from .None import compat, dtypes
  from tensorboard.compat.proto import tensor_shape_pb2
label_desc: Use image node_id 19 for calling the Dimension obj's underlying member method code with example usage: obj.__floordiv__(other) and returns: Dimension, Dimension, NotImplemented