tf.raw_ops.SparseAddGrad

The gradient operator for the SparseAdd op.

tf.raw_ops.SparseAddGrad(
    backprop_val_grad, a_indices, b_indices, sum_indices, name=None
)

The SparseAdd op calculates A + B, where A, B, and the sum are all represented as SparseTensor objects. This op takes in the upstream gradient w.r.t. non-empty values of the sum, and outputs the gradients w.r.t. the non-empty values of A and B.

Args:

  • backprop_val_grad: 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. 1-D with shape [nnz(sum)]. The gradient with respect to the non-empty values of the sum.
  • a_indices: A Tensor of type int64. 2-D. The indices of the SparseTensor A, size [nnz(A), ndims].
  • b_indices: A Tensor of type int64. 2-D. The indices of the SparseTensor B, size [nnz(B), ndims].
  • sum_indices: A Tensor of type int64. 2-D. The indices of the sum SparseTensor, size [nnz(sum), ndims].
  • name: A name for the operation (optional).

Returns:

A tuple of Tensor objects (a_val_grad, b_val_grad).

  • a_val_grad: A Tensor. Has the same type as backprop_val_grad.
  • b_val_grad: A Tensor. Has the same type as backprop_val_grad.