tf.contrib.distributions.fill_triangular

Creates a (batch of) triangular matrix from a vector of inputs.

tf.contrib.distributions.fill_triangular(
    x, upper=False, name=None
)

Created matrix can be lower- or upper-triangular. (It is more efficient to create the matrix as upper or lower, rather than transpose.)

Triangular matrix elements are filled in a clockwise spiral. See example, below.

If x.get_shape() is [b1, b2, ..., bB, d] then the output shape is [b1, b2, ..., bB, n, n] where n is such that d = n(n+1)/2, i.e., n = int(np.sqrt(0.25 + 2. * m) - 0.5).

Example:

fill_triangular([1, 2, 3, 4, 5, 6])
# ==> [[4, 0, 0],
#      [6, 5, 0],
#      [3, 2, 1]]

fill_triangular([1, 2, 3, 4, 5, 6], upper=True)
# ==> [[1, 2, 3],
#      [0, 5, 6],
#      [0, 0, 4]]

For comparison, a pure numpy version of this function can be found in util_test.py, function _fill_triangular.

Args
`x`	`Tensor` representing lower (or upper) triangular elements.
`upper`	Python `bool` representing whether output matrix should be upper triangular (`True`) or lower triangular (`False`, default).
`name`	Python `str`. The name to give this op.

Returns
`tril`	`Tensor` with lower (or upper) triangular elements filled from `x`.

Raises
`ValueError`	if `x` cannot be mapped to a triangular matrix.

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Example:

Args

Returns

Raises

tf.contrib.distributions.fill_triangular