tf.raw_ops.ResourceSparseApplyAdagradV2

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

That is for rows we have grad for, we update var and accum as follows: accum += grad * grad var -= lr * grad * (1 / sqrt(accum))

var A Tensor of type resource. Should be from a Variable().
accum 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.
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 follow