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_metric_siesta.py
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_metric_siesta.py
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# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at https://mozilla.org/MPL/2.0/.
import logging
from numbers import Number
import numpy as np
import sisl.io.siesta as io_siesta
from sisl.io import get_sile
from sisl.utils import direction
from ._metric import Metric
from ._path import path_rel_or_abs
__all__ = ["SiestaMetric", "EnergyMetric", "EigenvalueMetric", "ForceMetric", "StressMetric"]
_log = logging.getLogger("sisl_toolbox.siesta.minimize")
def _siesta_out_accept(out):
if not isinstance(out, io_siesta.outSileSiesta):
out = io_siesta.outSileSiesta(out)
accept = out.completed()
if accept:
with out:
# We do not accept:
# KBproj: WARNING: KB projector does not decay to zero
accept = not out.step_to("KB projector does not decay to zero")[0]
if accept:
for l in (0, 1, 2):
with out:
# We do not accept
# KBproj: WARNING: Cut off radius for the KB projector too big
accept &= not out.step_to(f"KBproj: WARNING: Rc({l})=")[0]
return accept
class SiestaMetric(Metric):
""" Generic Siesta metric
Since in some cases siesta may crash we need to have *failure* metrics
that returns if siesta fails to run.
"""
def __init__(self, failure=0.):
if isinstance(failure, Number):
def func(metric, fail):
if fail:
return failure
return metric
self.failure = func
elif callable(failure):
self.failure = failure
else:
raise ValueError(f"{self.__class__.__name__} could not initialize failure, not number or callable")
class EigenvalueMetric(SiestaMetric):
""" Compare eigenvalues between two calculations and return the difference as the metric """
def __init__(self, eig_file, eig_ref, dist=None, align_valence=False, failure=0.):
""" Store the reference eigenvalues along the distribution (if any) """
super().__init__(failure)
self.eig_file = path_rel_or_abs(eig_file)
# we copy to ensure users don't change these
self.eig_ref = eig_ref.copy()
if dist is None:
self.dist = 1.
elif callable(dist):
self.dist = dist(eig_ref)
else:
try:
eig_ref * dist
except Exception:
raise ValueError(f"{self.__class__.__name__} was passed `dist` which was not "
"broadcastable to `eig_ref`. Please ensure compatibility.")
self.dist = dist.copy()
# whether we should align the valence band edges
# only for semi-conductors
self.align_valence = align_valence
def metric(self, variables):
""" Compare eigenvalues with a reference eigenvalue set, scaled by dist """
try:
eig = io_siesta.eigSileSiesta(self.eig_file).read_data()
eig = eig[:, :, :self.eig_ref.shape[2]]
if self.align_valence:
# align data at the valence band (
eig -= eig[eig < 0.].max()
# Calculate the metric, also average around k-points
metric = (((eig - self.eig_ref) * self.dist) ** 2).sum() ** 0.5 / eig.shape[1]
metric = self.failure(metric, False)
_log.debug(f"metric.eigenvalue [{self.eig_file}] success {metric}")
except Exception:
metric = self.failure(0., True)
_log.warning(f"metric.eigenvalue [{self.eig_file}] fail {metric}")
return metric
class EnergyMetric(SiestaMetric):
""" Metric is the energy (default total), read from the output file
Alternatively the metric could be any operation of the energies that is returned.
Parameters
----------
out : str, Path
the output from a Siesta run
energy : callable, str, optional
an operation to post-process the energy.
If a `str` it will use the given energy, otherwise the function should accept a single
dictionary (output from: `sisl.io.siesta.outSileSiesta.read_energy`) and convert that
to a single energy metric
failure : float, optional
in case the output does not contain anything runner fails, then we should return a "fake" metric.
"""
def __init__(self, out, energy='total', failure=0.):
super().__init__(failure)
self.out = path_rel_or_abs(out)
if isinstance(energy, str):
energy_str = energy.split(".")
def energy(energy_dict):
f""" {'.'.join(energy_str)} metric """
for sub in energy_str[:-1]:
energy_dict = energy_dict[sub]
return energy_dict[energy_str[-1]]
if not callable(energy):
raise ValueError(f"{self.__class__.__name__} requires energy to be callable or str")
self.energy = energy
def metric(self, variables):
""" Read the energy from the out file in `path` """
out = io_siesta.outSileSiesta(self.out)
if _siesta_out_accept(out):
metric = self.failure(self.energy(out.read_energy()), False)
_log.debug(f"metric.energy [{self.out}] success {metric}")
else:
metric = self.failure(0., True)
_log.warning(f"metric.energy [{self.out}] fail {metric}")
return metric
class ForceMetric(SiestaMetric):
""" Metric is the force (default maximum), read from the FA file
Alternatively the metric could be any operation on the forces.
Parameters
----------
file : str, Path
the file from which to read the forces
force : {'abs.max', 'l2.max'} or callable, optional
an operation to post-process the energy.
If a `str` it will use the given numpy operation on the flattened force array.
dictionary (output from: `sisl.io.siesta.*.read_force`) and convert that
to a single metric
failure : float, optional
in case the output does not contain anything runner fails, then we should return a "fake" metric.
"""
def __init__(self, file, force='abs.max', failure=0.):
super().__init__(failure)
self.file = path_rel_or_abs(file)
if isinstance(force, str):
force_op = force.split(".")
def force(forces):
f""" {force_op} metric """
out = forces
for op in force_op:
if op == "l2":
out = (out ** 2).sum(-1) ** 0.5
else:
out = getattr(np, op)(out)
return out
if not callable(force):
raise ValueError(f"{self.__class__.__name__} requires force to be callable or str")
self.force = force
def metric(self, variables):
""" Read the force from the `self.file` in `path` """
try:
force = self.force(get_sile(self.file).read_force())
metric = self.failure(force, False)
_log.debug(f"metric.force [{self.file}] success {metric}")
except Exception:
metric = self.failure(0., True)
_log.debug(f"metric.force [{self.file}] fail {metric}")
return metric
class StressMetric(SiestaMetric):
""" Metric is the stress tensor, read from the output file
Parameters
----------
out : str, Path
output from a Siesta run
stress : callable, optional
function which transforms the stress to a single number (the metric).
By default it sums the diagonal stress components.
failure : float, optional
in case the output does not contain anything runner fails, then we should return a "fake" metric.
"""
def __init__(self, out, stress='ABC', failure=2.):
super().__init__(failure)
self.out = path_rel_or_abs(out)
if isinstance(stress, str):
stress_directions = list(map(direction, stress))
def stress(stress_matrix):
f""" {stress_directions} metric """
return stress_matrix[stress_directions, stress_directions].sum()
if not callable(stress):
raise ValueError(f"{self.__class__.__name__} requires stress to be callable")
self.stress = stress
def metric(self, variables):
""" Convert the stress-tensor to a single metric that should be minimized """
out = io_siesta.outSileSiesta(self.out)
if _siesta_out_accept(out):
stress = self.stress(out.read_stress())
metric = self.failure(stress, False)
_log.debug(f"metric.stress [{self.out}] success {metric}")
else:
metric = self.failure(0., True)
_log.warning(f"metric.stress [{self.out}] fail {metric}")
return metric