tf.raw_ops.MatrixDiagPart
Returns the batched diagonal part of a batched tensor.
tf.raw_ops.MatrixDiagPart( input, name=None )
This operation returns a tensor with the diagonal
part of the batched input
. The diagonal
part is computed as follows:
Assume input
has k
dimensions [I, J, K, ..., M, N]
, then the output is a tensor of rank k - 1
with dimensions [I, J, K, ..., min(M, N)]
where:
diagonal[i, j, k, ..., n] = input[i, j, k, ..., n, n]
.
The input must be at least a matrix.
For example:
# 'input' is [[[1, 0, 0, 0] [0, 2, 0, 0] [0, 0, 3, 0] [0, 0, 0, 4]], [[5, 0, 0, 0] [0, 6, 0, 0] [0, 0, 7, 0] [0, 0, 0, 8]]] and input.shape = (2, 4, 4) tf.matrix_diag_part(input) ==> [[1, 2, 3, 4], [5, 6, 7, 8]] which has shape (2, 4)
Args | |
---|---|
input | A Tensor . Rank k tensor where k >= 2 . |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor . Has the same type as input . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/MatrixDiagPart