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, qint16, quint16, 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.
|
