tf.raw_ops.ResourceSparseApplyAdadelta

var: Should be from a Variable().

tf.raw_ops.ResourceSparseApplyAdadelta(
    var, accum, accum_update, lr, rho, epsilon, grad, indices, use_locking=False,
    name=None
)

Args:

  • var: A Tensor of type resource.
  • accum: A Tensor of type resource. Should be from a Variable().
  • accum_update: A Tensor of type resource. : Should be from a Variable().
  • lr: A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, uint16, complex128, half, uint32, uint64. Learning rate. Must be a scalar.
  • rho: A Tensor. Must have the same type as lr. Decay factor. Must be a scalar.
  • epsilon: A Tensor. Must have the same type as lr. Constant factor. Must be a scalar.
  • grad: A Tensor. Must have the same type as lr. The gradient.
  • indices: A Tensor. Must be one of the following types: int32, int64. A vector of indices into the first dimension of var and accum.
  • use_locking: An optional bool. Defaults to False. If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
  • name: A name for the operation (optional).

Returns:

The created Operation.