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Compute the trace of a tensor x.
tf.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. |