Returns a batched matrix tensor with new batched diagonal values.
tf.raw_ops.MatrixSetDiag(
input, diagonal, name=None
)
Given input
and diagonal
, this operation returns a tensor with the
same shape and values as input
, except for the main diagonal of the
innermost matrices. These will be overwritten by the values in diagonal
.
The output is computed as follows:
Assume input
has k+1
dimensions [I, J, K, ..., M, N]
and diagonal
has
k
dimensions [I, J, K, ..., min(M, N)]
. Then the output is a
tensor of rank k+1
with dimensions [I, J, K, ..., M, N]
where:
output[i, j, k, ..., m, n] = diagonal[i, j, k, ..., n]
form == n
.output[i, j, k, ..., m, n] = input[i, j, k, ..., m, n]
form != n
.
Args | |
---|---|
input
|
A Tensor . Rank k+1 , where k >= 1 .
|
diagonal
|
A Tensor . Must have the same type as input .
Rank k , where k >= 1 .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor . Has the same type as input .
|