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Compute the trace of a tensor x
.
tf.compat.v1.linalg.trace(
x, name=None
)
trace(x)
returns the sum along the main diagonal of each inner-most matrix
in x. If x is of rank k
with shape [I, J, K, ..., L, M, N]
, then output
is a tensor of rank k-2
with dimensions [I, J, K, ..., L]
where
output[i, j, k, ..., l] = trace(x[i, j, k, ..., l, :, :])
For example:
x = tf.constant([[1, 2], [3, 4]])
tf.linalg.trace(x) # 5
x = tf.constant([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
tf.linalg.trace(x) # 15
x = tf.constant([[[1, 2, 3],
[4, 5, 6],
[7, 8, 9]],
[[-1, -2, -3],
[-4, -5, -6],
[-7, -8, -9]]])
tf.linalg.trace(x) # [15, -15]
Args | |
---|---|
x
|
tensor. |
name
|
A name for the operation (optional). |
Returns | |
---|---|
The trace of input tensor. |