Method assign_sub

tensorflow/python/ops/variables.py:810–826

Subtracts a value from this variable. This is essentially a shortcut for `assign_sub(self, delta)`. Args: delta: A `Tensor`. The value to subtract from this variable. use_locking: If `True`, use locking during the operation. name: The name of the operation to be created

(self, delta, use_locking=False, name=None, read_value=True)

    raise NotImplementedError

  def assign_sub(self, delta, use_locking=False, name=None, read_value=True):
    """Subtracts a value from this variable.

    This is essentially a shortcut for `assign_sub(self, delta)`.

    Args:
      delta: A `Tensor`. The value to subtract from this variable.
      use_locking: If `True`, use locking during the operation.
      name: The name of the operation to be created
      read_value: if True, will return something which evaluates to the new
        value of the variable; if False will return the assign op.

    Returns:
      A `Tensor` that will hold the new value of this variable after
      the subtraction has completed.
    """
    raise NotImplementedError

  def scatter_sub(self, sparse_delta, use_locking=False, name=None):
    """Subtracts `tf.IndexedSlices` from this variable.