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tf_agents.bandits.policies.linalg.conjugate_gradient

Returns x such that A * x = b.

tf_agents.bandits.policies.linalg.conjugate_gradient(
    a_mat: tf_agents.typing.types.Tensor,
    b: tf_agents.typing.types.Tensor,
    tol: float = 1e-10
) -> tf_agents.typing.types.Float

Implements the Conjugate Gradient method. https://en.wikipedia.org/wiki/Conjugate_gradient_method

Args
`a_mat`	a Symmetric Positive Definite matrix, represented as a `Tensor` of shape `[n, n]`.
`b`	a `Tensor` of shape `[n, 1]`.
`tol`	(float) desired tolerance on the residual.

Returns
`x`	`Tensor` `x` of shape `[n, 1]` such that `A * x = b`.

Raises
`ValueError`	if `a_mat` is not square or `a_mat` and `b` have incompatible shapes.

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Last updated 2021-01-20 UTC.

tf_agents.bandits.policies.linalg.conjugate_gradient

Args

Returns

Raises