tf.raw_ops.SparseApplyAdagradDA

Update entries in 'var' and 'accum' according to the proximal adagrad scheme.

var A mutable 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. Should be from a Variable().
gradient_accumulator A mutable Tensor. Must have the same type as var. Should be from a Variable().
gradient_squared_accumulator A mutable Tensor. Must have the same type as var. Should be from a Variable().
grad A Tensor. Must have the same type as var. 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.
lr A Tensor. Must have the same type as