TensorFlow 2 version |
Returns the diagonal part of the tensor.
tf.linalg.tensor_diag_part(
input, name=None
)
This operation returns a tensor with the diagonal
part
of the input
. The diagonal
part is computed as follows:
Assume input
has dimensions [D1,..., Dk, D1,..., Dk]
, then the output is a
tensor of rank k
with dimensions [D1,..., Dk]
where:
diagonal[i1,..., ik] = input[i1, ..., ik, i1,..., ik]
.
For example:
# 'input' is [[1, 0, 0, 0]
[0, 2, 0, 0]
[0, 0, 3, 0]
[0, 0, 0, 4]]
tf.diag_part(input) ==> [1, 2, 3, 4]
Args | |
---|---|
input
|
A Tensor . Must be one of the following types: bfloat16 , half , float32 , float64 , int32 , int64 , complex64 , complex128 .
Rank k tensor where k is even and not zero.
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor . Has the same type as input .
|