Source code for cr.sparse._src.opt.smooth.linear
# Copyright 2021 CR-Suite Development Team
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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# https://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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from jax import jit, grad, lax
import jax.numpy as jnp
import cr.nimble as cnb
from .smooth import build2
[docs]def smooth_linear(C, D=0.):
r"""Linear function and its gradient :math:`f(x) = \langle c, x \rangle + d`
"""
C = jnp.asarray(C)
D = jnp.asarray(D)
C, D = cnb.promote_arg_dtypes(C, D)
@jit
def func(x):
x = jnp.asarray(x)
x = cnb.promote_arg_dtypes(x)
return cnb.arr_rdot(C, x) + D
@jit
def gradient(x):
return C
return build2(func, gradient)