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tf_agents.bandits.policies.linalg.conjugate_gradient_solve

Returns X such that A * X = B.

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

Uses Conjugate Gradient to solve many linear systems of equations with the same matrix a_mat and multiple right hand sides provided as columns in the matrix b_mat.

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

Returns
`X`	`Tensor` `X` of shape `[n, k]` such that `A * X = B`.

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

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Last updated 2021-05-21 UTC.

tf_agents.bandits.policies.linalg.conjugate_gradient_solve

Args

Returns

Raises