From ad68afa5ad81a673d94e526523b6bbe4fc602db9 Mon Sep 17 00:00:00 2001 From: daniel-dudt Date: Thu, 22 Aug 2024 17:35:01 -0600 Subject: [PATCH 01/28] LinkingCurrent objective --- desc/objectives/__init__.py | 1 + desc/objectives/_coils.py | 157 ++++++++++++++++++++++++++++++++++++ 2 files changed, 158 insertions(+) diff --git a/desc/objectives/__init__.py b/desc/objectives/__init__.py index 3ae2e59af0..954bee2ad4 100644 --- a/desc/objectives/__init__.py +++ b/desc/objectives/__init__.py @@ -7,6 +7,7 @@ CoilLength, CoilSetMinDistance, CoilTorsion, + LinkingCurrent, PlasmaCoilSetMinDistance, QuadraticFlux, ToroidalFlux, diff --git a/desc/objectives/_coils.py b/desc/objectives/_coils.py index 228c7354ea..778fddcd18 100644 --- a/desc/objectives/_coils.py +++ b/desc/objectives/_coils.py @@ -1,6 +1,7 @@ import numbers import numpy as np +from scipy.constants import mu_0 from desc.backend import ( fori_loop, @@ -1502,3 +1503,159 @@ def compute(self, field_params=None, constants=None): ) return Psi + + +class LinkingCurrent(_Objective): + """Target the self-consistent poloidal linking current between the plasma and coils. + + Parameters + ---------- + eq : Equilibrium + Equilibrium that will be optimized to satisfy the Objective. + coil : CoilSet + Coil(s) that are to be optimized. + target : float, ndarray, optional + Target value(s) of the objective. Only used if bounds is None. + Must be broadcastable to Objective.dim_f. If array, it has to + be flattened according to the number of inputs. + bounds : tuple of float, ndarray, optional + Lower and upper bounds on the objective. Overrides target. + Both bounds must be broadcastable to to Objective.dim_f + weight : float, ndarray, optional + Weighting to apply to the Objective, relative to other Objectives. + Must be broadcastable to to Objective.dim_f + normalize : bool, optional + Whether to compute the error in physical units or non-dimensionalize. + normalize_target : bool, optional + Whether target and bounds should be normalized before comparing to computed + values. If `normalize` is `True` and the target is in physical units, + this should also be set to True. + be set to True. + loss_function : {None, 'mean', 'min', 'max'}, optional + Loss function to apply to the objective values once computed. This loss function + is called on the raw compute value, before any shifting, scaling, or + normalization. Operates over all coils, not each individial coil. + deriv_mode : {"auto", "fwd", "rev"} + Specify how to compute jacobian matrix, either forward mode or reverse mode AD. + "auto" selects forward or reverse mode based on the size of the input and output + of the objective. Has no effect on self.grad or self.hess which always use + reverse mode and forward over reverse mode respectively. + grid : Grid, optional + Collocation grid containing the nodes to evaluate plasma current at. + Defaults to ``LinearGrid(M=eq.M_grid, N=eq.N_grid, NFP=eq.NFP, sym=eq.sym)``. + name : str, optional + Name of the objective function. + + """ + + _scalar = True + _units = "(A)" + _print_value_fmt = "Linking current: {:10.3e} " + + def __init__( + self, + eq, + coil, + target=None, + bounds=None, + weight=1, + normalize=True, + normalize_target=True, + loss_function=None, + deriv_mode="auto", + grid=None, + name="linking current", + ): + if target is None and bounds is None: + target = 0 + self._grid = grid + super().__init__( + things=[eq, coil], + target=target, + bounds=bounds, + weight=weight, + normalize=normalize, + normalize_target=normalize_target, + loss_function=loss_function, + deriv_mode=deriv_mode, + name=name, + ) + + def build(self, use_jit=True, verbose=1): + """Build constant arrays. + + Parameters + ---------- + use_jit : bool, optional + Whether to just-in-time compile the objective and derivatives. + verbose : int, optional + Level of output. + + """ + eq = self.things[0] + coil = self.things[1] + grid = self._grid or LinearGrid( + M=eq.M_grid, N=eq.N_grid, NFP=eq.NFP, sym=eq.sym + ) + warnif( + not np.allclose(grid.nodes[:, 0], 1), + UserWarning, + "grid includes interior points, should be rho=1.", + ) + + self._dim_f = 1 + self._data_keys = ["G"] + + profiles = get_profiles(self._data_keys, obj=eq, grid=grid) + transforms = get_transforms(self._data_keys, obj=eq, grid=grid) + + self._constants = { + "eq": eq, + "coil": coil, + "grid": grid, + "profiles": profiles, + "transforms": transforms, + "quad_weights": 1.0, + } + + if self._normalize: + params = tree_leaves( + coil.params_dict, is_leaf=lambda x: isinstance(x, dict) + ) + self._normalization = np.sum([np.abs(param["current"]) for param in params]) + + super().build(use_jit=use_jit, verbose=verbose) + + def compute(self, eq_params, coil_params, constants=None): + """Compute linking current error. + + Parameters + ---------- + eq_params : dict + Dictionary of equilibrium degrees of freedom, eg ``Equilibrium.params_dict`` + coil_params : dict + Dictionary of coilset degrees of freedom, eg ``CoilSet.params_dict`` + constants : dict + Dictionary of constant data, eg transforms, profiles etc. + Defaults to self._constants. + + Returns + ------- + f : array of floats + Linking current error. + + """ + data = compute_fun( + "desc.equilibrium.equilibrium.Equilibrium", + self._data_keys, + params=eq_params, + transforms=constants["transforms"], + profiles=constants["profiles"], + ) + eq_linking_current = 2 * jnp.pi * data["G"][0] / mu_0 + coil_linking_current = jnp.sum( + jnp.concatenate( + [jnp.atleast_1d(param["current"]) for param in tree_leaves(coil_params)] + ) + ) + return eq_linking_current - coil_linking_current From e7351d36fac4741743c8f008aeab83c004970d2f Mon Sep 17 00:00:00 2001 From: daniel-dudt Date: Fri, 23 Aug 2024 16:24:10 -0600 Subject: [PATCH 02/28] get linking current working in single-stage --- desc/objectives/_coils.py | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/desc/objectives/_coils.py b/desc/objectives/_coils.py index 778fddcd18..d75572c9b5 100644 --- a/desc/objectives/_coils.py +++ b/desc/objectives/_coils.py @@ -16,7 +16,7 @@ from desc.compute.utils import safenorm from desc.grid import LinearGrid, _Grid from desc.integrals import compute_B_plasma -from desc.utils import Timer, errorif, warnif +from desc.utils import Timer, broadcast_tree, errorif, warnif from .normalization import compute_scaling_factors from .objective_funs import _Objective @@ -1606,13 +1606,15 @@ def build(self, use_jit=True, verbose=1): self._dim_f = 1 self._data_keys = ["G"] + all_params = tree_map(lambda dim: np.arange(dim), coil.dimensions) + current_params = tree_map(lambda idx: {"current": idx}, True) + self._indices = tree_leaves(broadcast_tree(current_params, all_params)) + self._num_coils = coil.num_coils + profiles = get_profiles(self._data_keys, obj=eq, grid=grid) transforms = get_transforms(self._data_keys, obj=eq, grid=grid) self._constants = { - "eq": eq, - "coil": coil, - "grid": grid, "profiles": profiles, "transforms": transforms, "quad_weights": 1.0, @@ -1653,9 +1655,12 @@ def compute(self, eq_params, coil_params, constants=None): profiles=constants["profiles"], ) eq_linking_current = 2 * jnp.pi * data["G"][0] / mu_0 - coil_linking_current = jnp.sum( + coil_linking_current = self._num_coils * jnp.mean( jnp.concatenate( - [jnp.atleast_1d(param["current"]) for param in tree_leaves(coil_params)] + [ + jnp.atleast_1d(param[idx]) + for param, idx in zip(tree_leaves(coil_params), self._indices) + ] ) ) return eq_linking_current - coil_linking_current From fc76f96d944308e778215cf8e9e4bf964e90f5eb Mon Sep 17 00:00:00 2001 From: daniel-dudt Date: Sun, 25 Aug 2024 23:03:58 -0600 Subject: [PATCH 03/28] fix print_values --- desc/objectives/_coils.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/desc/objectives/_coils.py b/desc/objectives/_coils.py index f6a78c6007..5a0390fbd5 100644 --- a/desc/objectives/_coils.py +++ b/desc/objectives/_coils.py @@ -1550,7 +1550,7 @@ class LinkingCurrent(_Objective): _scalar = True _units = "(A)" - _print_value_fmt = "Linking current: {:10.3e} " + _print_value_fmt = "Linking current: " def __init__( self, @@ -1647,6 +1647,8 @@ def compute(self, eq_params, coil_params, constants=None): Linking current error. """ + if constants is None: + constants = self.constants data = compute_fun( "desc.equilibrium.equilibrium.Equilibrium", self._data_keys, From 31eb81656cce946b12472fb9c2bf0450941d5e88 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Fri, 11 Oct 2024 15:32:18 -0400 Subject: [PATCH 04/28] Use linking number for linking current objective --- desc/objectives/_coils.py | 69 ++++++++++++++++++------------------ tests/test_objective_funs.py | 48 +++++++++++++++++++++++++ 2 files changed, 82 insertions(+), 35 deletions(-) diff --git a/desc/objectives/_coils.py b/desc/objectives/_coils.py index ee602203cf..9f607eeef6 100644 --- a/desc/objectives/_coils.py +++ b/desc/objectives/_coils.py @@ -1368,46 +1368,26 @@ def compute(self, field_params=None, constants=None): class LinkingCurrent(_Objective): """Target the self-consistent poloidal linking current between the plasma and coils. + Assumes the coil topology does not change (ie the linking number with the plasma + is fixed). + Parameters ---------- eq : Equilibrium Equilibrium that will be optimized to satisfy the Objective. coil : CoilSet Coil(s) that are to be optimized. - target : float, ndarray, optional - Target value(s) of the objective. Only used if bounds is None. - Must be broadcastable to Objective.dim_f. If array, it has to - be flattened according to the number of inputs. - bounds : tuple of float, ndarray, optional - Lower and upper bounds on the objective. Overrides target. - Both bounds must be broadcastable to to Objective.dim_f - weight : float, ndarray, optional - Weighting to apply to the Objective, relative to other Objectives. - Must be broadcastable to to Objective.dim_f - normalize : bool, optional - Whether to compute the error in physical units or non-dimensionalize. - normalize_target : bool, optional - Whether target and bounds should be normalized before comparing to computed - values. If `normalize` is `True` and the target is in physical units, - this should also be set to True. - be set to True. - loss_function : {None, 'mean', 'min', 'max'}, optional - Loss function to apply to the objective values once computed. This loss function - is called on the raw compute value, before any shifting, scaling, or - normalization. Operates over all coils, not each individial coil. - deriv_mode : {"auto", "fwd", "rev"} - Specify how to compute jacobian matrix, either forward mode or reverse mode AD. - "auto" selects forward or reverse mode based on the size of the input and output - of the objective. Has no effect on self.grad or self.hess which always use - reverse mode and forward over reverse mode respectively. grid : Grid, optional Collocation grid containing the nodes to evaluate plasma current at. Defaults to ``LinearGrid(M=eq.M_grid, N=eq.N_grid, NFP=eq.NFP, sym=eq.sym)``. - name : str, optional - Name of the objective function. """ + __doc__ = __doc__.rstrip() + collect_docs( + target_default="``target=0``.", + bounds_default="``target=0``.", + ) + _scalar = True _units = "(A)" _print_value_fmt = "Linking current: " @@ -1424,6 +1404,7 @@ def __init__( loss_function=None, deriv_mode="auto", grid=None, + jac_chunk_size=None, name="linking current", ): if target is None and bounds is None: @@ -1438,6 +1419,7 @@ def __init__( normalize_target=normalize_target, loss_function=loss_function, deriv_mode=deriv_mode, + jac_chunk_size=jac_chunk_size, name=name, ) @@ -1468,16 +1450,34 @@ def build(self, use_jit=True, verbose=1): all_params = tree_map(lambda dim: np.arange(dim), coil.dimensions) current_params = tree_map(lambda idx: {"current": idx}, True) + # indices of coil currents self._indices = tree_leaves(broadcast_tree(current_params, all_params)) self._num_coils = coil.num_coils profiles = get_profiles(self._data_keys, obj=eq, grid=grid) transforms = get_transforms(self._data_keys, obj=eq, grid=grid) + # compute linking number of coils with plasma. To do this we add a fake "coil" + # along the magnetic axis and compute the linking number of that coilset + from desc.coils import FourierRZCoil, MixedCoilSet + + axis_coil = FourierRZCoil( + 1.0, + eq.axis.R_n, + eq.axis.Z_n, + eq.axis.R_basis.modes[:, 2], + eq.axis.Z_basis.modes[:, 2], + eq.axis.NFP, + ) + dummy_coilset = MixedCoilSet(axis_coil, coil) + # linking number for coils with axis + link = np.round(dummy_coilset._compute_linking_number())[0, 1:] + self._constants = { "profiles": profiles, "transforms": transforms, "quad_weights": 1.0, + "link": link, } if self._normalize: @@ -1517,14 +1517,13 @@ def compute(self, eq_params, coil_params, constants=None): profiles=constants["profiles"], ) eq_linking_current = 2 * jnp.pi * data["G"][0] / mu_0 - coil_linking_current = self._num_coils * jnp.mean( - jnp.concatenate( - [ - jnp.atleast_1d(param[idx]) - for param, idx in zip(tree_leaves(coil_params), self._indices) - ] - ) + coil_currents = jnp.concatenate( + [ + jnp.atleast_1d(param[idx]) + for param, idx in zip(tree_leaves(coil_params), self._indices) + ] ) + coil_linking_current = jnp.sum(constants["link"] * coil_currents) return eq_linking_current - coil_linking_current diff --git a/tests/test_objective_funs.py b/tests/test_objective_funs.py index fccfaae389..9ed01e0eae 100644 --- a/tests/test_objective_funs.py +++ b/tests/test_objective_funs.py @@ -56,6 +56,7 @@ HeatingPowerISS04, Isodynamicity, LinearObjectiveFromUser, + LinkingCurrent, MagneticWell, MeanCurvature, MercierStability, @@ -1297,6 +1298,18 @@ def test_signed_plasma_vessel_distance(self): assert abs(d.max() - (-a_s)) < 1e-14 assert abs(d.min() - (-a_s)) < grid.spacing[0, 1] * a_s + @pytest.mark.unit + def test_linking_current(self): + """Test calculation of signed linking current from coils to plasma.""" + eq = Equilibrium() + G = eq.compute("G", grid=LinearGrid(rho=1.0))["G"] * 2 * jnp.pi / mu_0 + coil = FourierPlanarCoil(current=G / 8, center=[10, 1, 0]) + coilset = CoilSet.from_symmetry(coil, NFP=4, sym=True) + obj = LinkingCurrent(eq, coilset) + obj.build() + f = obj.compute(eq.params_dict, coilset.params_dict) + np.testing.assert_allclose(f, 0) + @pytest.mark.regression def test_derivative_modes(): @@ -2271,6 +2284,7 @@ class TestComputeScalarResolution: FusionPower, GenericObjective, HeatingPowerISS04, + LinkingCurrent, Omnigenity, PlasmaCoilSetMinDistance, PlasmaVesselDistance, @@ -2650,6 +2664,26 @@ def test_compute_scalar_resolution_coils(self, objective): f[i] = obj.compute_scalar(obj.x()) np.testing.assert_allclose(f, f[-1], rtol=1e-2, atol=1e-12) + @pytest.mark.unit + def test_compute_scalar_resolution_linking_current(self): + """LinkingCurrent.""" + coil = FourierPlanarCoil(center=[10, 1, 0]) + eq = Equilibrium() + coilset = CoilSet.from_symmetry(coil, NFP=4, sym=True) + f = np.zeros_like(self.res_array, dtype=float) + for i, res in enumerate(self.res_array): + obj = ObjectiveFunction( + LinkingCurrent( + eq, + coilset, + grid=LinearGrid(M=int(eq.M_grid * res), N=int(eq.N_grid * res)), + ), + use_jit=False, + ) + obj.build(verbose=0) + f[i] = obj.compute_scalar(obj.x()) + np.testing.assert_allclose(f, f[-1], rtol=1e-2, atol=1e-12) + class TestObjectiveNaNGrad: """Make sure reverse mode AD works correctly for all objectives.""" @@ -2677,6 +2711,7 @@ class TestObjectiveNaNGrad: ForceBalanceAnisotropic, FusionPower, HeatingPowerISS04, + LinkingCurrent, Omnigenity, PlasmaCoilSetMinDistance, PlasmaVesselDistance, @@ -2919,6 +2954,17 @@ def test_objective_no_nangrad_ballooning(self): g = obj.grad(obj.x()) assert not np.any(np.isnan(g)) + @pytest.mark.unit + def test_objective_no_nangrad_linking_current(self): + """LinkingCurrent.""" + coil = FourierPlanarCoil(center=[10, 1, 0]) + coilset = CoilSet.from_symmetry(coil, NFP=4, sym=True) + eq = Equilibrium() + obj = ObjectiveFunction(LinkingCurrent(eq, coilset)) + obj.build() + g = obj.grad(obj.x()) + assert not np.any(np.isnan(g)) + @pytest.mark.unit def test_asymmetric_normalization(): @@ -2943,6 +2989,7 @@ def test_asymmetric_normalization(): assert np.all(np.isfinite(val)) +@pytest.mark.unit def test_objective_print_widths(): """Test that the objective's name is shorter than max.""" subclasses = _Objective.__subclasses__() @@ -2971,6 +3018,7 @@ def test_objective_print_widths(): ) +@pytest.mark.unit def test_objective_docstring(): """Test that the objective docstring and collect_docs are consistent.""" objective_docs = _Objective.__doc__.rstrip() From 8db268d84c48f44a05a2dc9c9b2cc10a5d909927 Mon Sep 17 00:00:00 2001 From: YigitElma Date: Tue, 15 Oct 2024 13:45:52 -0400 Subject: [PATCH 05/28] fix test_objective_docstring --- desc/objectives/objective_funs.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/desc/objectives/objective_funs.py b/desc/objectives/objective_funs.py index 28d7530d1e..9f0ca3945f 100644 --- a/desc/objectives/objective_funs.py +++ b/desc/objectives/objective_funs.py @@ -1016,10 +1016,10 @@ class _Objective(IOAble, ABC): Must be broadcastable to Objective.dim_f. bounds : tuple of {float, ndarray}, optional Lower and upper bounds on the objective. Overrides target. - Both bounds must be broadcastable to to Objective.dim_f + Both bounds must be broadcastable to Objective.dim_f weight : {float, ndarray}, optional Weighting to apply to the Objective, relative to other Objectives. - Must be broadcastable to to Objective.dim_f + Must be broadcastable to Objective.dim_f normalize : bool, optional Whether to compute the error in physical units or non-dimensionalize. normalize_target : bool, optional @@ -1031,7 +1031,7 @@ class _Objective(IOAble, ABC): is called on the raw compute value, before any shifting, scaling, or normalization. deriv_mode : {"auto", "fwd", "rev"} - Specify how to compute jacobian matrix, either forward mode or reverse mode AD. + Specify how to compute Jacobian matrix, either forward mode or reverse mode AD. "auto" selects forward or reverse mode based on the size of the input and output of the objective. Has no effect on self.grad or self.hess which always use reverse mode and forward over reverse mode respectively. From f5abd60cbc56dab4bd5a8c9f18378725f5cb769e Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 16 Oct 2024 15:46:42 -0400 Subject: [PATCH 06/28] Add option to fix eq for LinkingCurrent --- desc/objectives/_coils.py | 59 ++++++++++++++++++++++++++++----------- tests/test_optimizer.py | 4 +-- 2 files changed, 44 insertions(+), 19 deletions(-) diff --git a/desc/objectives/_coils.py b/desc/objectives/_coils.py index 21ebbf6e45..59211428d8 100644 --- a/desc/objectives/_coils.py +++ b/desc/objectives/_coils.py @@ -1380,7 +1380,9 @@ class LinkingCurrent(_Objective): grid : Grid, optional Collocation grid containing the nodes to evaluate plasma current at. Defaults to ``LinearGrid(M=eq.M_grid, N=eq.N_grid, NFP=eq.NFP, sym=eq.sym)``. - + eq_fixed : bool + Whether the equilibrium is assumed fixed (should be true for stage 2, false + for single stage). """ __doc__ = __doc__.rstrip() + collect_docs( @@ -1404,14 +1406,20 @@ def __init__( loss_function=None, deriv_mode="auto", grid=None, + eq_fixed=False, jac_chunk_size=None, name="linking current", ): if target is None and bounds is None: target = 0 self._grid = grid + self._eq_fixed = eq_fixed + self._linear = eq_fixed + self._eq = eq + self._coil = coil + super().__init__( - things=[eq, coil], + things=[coil] if eq_fixed else [coil, eq], target=target, bounds=bounds, weight=weight, @@ -1434,8 +1442,8 @@ def build(self, use_jit=True, verbose=1): Level of output. """ - eq = self.things[0] - coil = self.things[1] + eq = self._eq + coil = self._coil grid = self._grid or LinearGrid( M=eq.M_grid, N=eq.N_grid, NFP=eq.NFP, sym=eq.sym ) @@ -1474,12 +1482,24 @@ def build(self, use_jit=True, verbose=1): link = np.round(dummy_coilset._compute_linking_number())[0, 1:] self._constants = { - "profiles": profiles, - "transforms": transforms, "quad_weights": 1.0, "link": link, } + if self._eq_fixed: + data = compute_fun( + "desc.equilibrium.equilibrium.Equilibrium", + self._data_keys, + params=eq.params_dict, + transforms=transforms, + profiles=profiles, + ) + eq_linking_current = 2 * jnp.pi * data["G"][0] / mu_0 + self._constants["eq_linking_current"] = (eq_linking_current,) + else: + self._constants["profiles"] = profiles + self._constants["transforms"] = transforms + if self._normalize: params = tree_leaves( coil.params_dict, is_leaf=lambda x: isinstance(x, dict) @@ -1488,15 +1508,16 @@ def build(self, use_jit=True, verbose=1): super().build(use_jit=use_jit, verbose=verbose) - def compute(self, eq_params, coil_params, constants=None): + def compute(self, coil_params, eq_params=None, constants=None): """Compute linking current error. Parameters ---------- - eq_params : dict - Dictionary of equilibrium degrees of freedom, eg ``Equilibrium.params_dict`` coil_params : dict Dictionary of coilset degrees of freedom, eg ``CoilSet.params_dict`` + eq_params : dict + Dictionary of equilibrium degrees of freedom, eg ``Equilibrium.params_dict`` + Only required if eq_fixed=False. constants : dict Dictionary of constant data, eg transforms, profiles etc. Defaults to self._constants. @@ -1509,14 +1530,18 @@ def compute(self, eq_params, coil_params, constants=None): """ if constants is None: constants = self.constants - data = compute_fun( - "desc.equilibrium.equilibrium.Equilibrium", - self._data_keys, - params=eq_params, - transforms=constants["transforms"], - profiles=constants["profiles"], - ) - eq_linking_current = 2 * jnp.pi * data["G"][0] / mu_0 + if self._eq_fixed: + eq_linking_current = constants["eq_linking_current"] + else: + data = compute_fun( + "desc.equilibrium.equilibrium.Equilibrium", + self._data_keys, + params=eq_params, + transforms=constants["transforms"], + profiles=constants["profiles"], + ) + eq_linking_current = 2 * jnp.pi * data["G"][0] / mu_0 + coil_currents = jnp.concatenate( [ jnp.atleast_1d(param[idx]) diff --git a/tests/test_optimizer.py b/tests/test_optimizer.py index 4f0cce0e0b..4b07aa9ccd 100644 --- a/tests/test_optimizer.py +++ b/tests/test_optimizer.py @@ -33,9 +33,9 @@ FixParameters, FixPressure, FixPsi, - FixSumCoilCurrent, ForceBalance, GenericObjective, + LinkingCurrent, MagneticWell, MeanCurvature, ObjectiveFunction, @@ -1367,7 +1367,7 @@ def test_optimize_coil_currents(DummyCoilSet): coil.current = current / coils.num_coils objective = ObjectiveFunction(QuadraticFlux(eq=eq, field=coils, vacuum=True)) - constraints = FixSumCoilCurrent(coils) + constraints = LinkingCurrent(eq, coils, eq_fixed=True) optimizer = Optimizer("lsq-exact") [coils_opt], _ = optimizer.optimize( things=coils, From ed450b8bef3802ac0ce0ec63f15a0199c1255bca Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 13 Nov 2024 16:08:06 -0500 Subject: [PATCH 07/28] Add handling for linking currents from virtual coils --- desc/coils.py | 25 +++++++++++++++++ desc/objectives/_coils.py | 3 +- tests/test_objective_funs.py | 53 ++++++++++++++++++++++++++++++++---- 3 files changed, 75 insertions(+), 6 deletions(-) diff --git a/desc/coils.py b/desc/coils.py index ea0da348a5..50fd4d37b7 100644 --- a/desc/coils.py +++ b/desc/coils.py @@ -1300,6 +1300,15 @@ def current(self, new): for coil, cur in zip(self.coils, new): coil.current = cur + def _all_currents(self, currents=None): + """Return an array of all the currents (including those in virtual coils).""" + if currents is None: + currents = self.current + currents = jnp.asarray(currents) + if self.sym: + currents = jnp.concatenate([currents, -1 * currents[::-1]]) + return jnp.tile(currents, self.NFP) + def _make_arraylike(self, x): if isinstance(x, dict): x = [x] * len(self) @@ -2318,6 +2327,22 @@ def num_coils(self): """int: Number of coils.""" return sum([c.num_coils for c in self]) + def _all_currents(self, currents=None): + """Return an array of all the currents (including those in virtual coils).""" + if currents is None: + currents = jnp.array(flatten_list(self.current)) + all_currents = [] + i = 0 + for coil in self.coils: + if isinstance(coil, CoilSet): + curr = currents[i : i + len(coil)] + all_currents += [coil._all_currents(curr)] + i += len(coil) + else: + all_currents += [jnp.atleast_1d(currents[i])] + i += 1 + return jnp.concatenate(all_currents) + def compute( self, names, diff --git a/desc/objectives/_coils.py b/desc/objectives/_coils.py index 929ba25654..b8aa701959 100644 --- a/desc/objectives/_coils.py +++ b/desc/objectives/_coils.py @@ -1599,7 +1599,7 @@ def build(self, use_jit=True, verbose=1): eq.axis.Z_basis.modes[:, 2], eq.axis.NFP, ) - dummy_coilset = MixedCoilSet(axis_coil, coil) + dummy_coilset = MixedCoilSet(axis_coil, coil, check_intersection=False) # linking number for coils with axis link = np.round(dummy_coilset._compute_linking_number())[0, 1:] @@ -1670,6 +1670,7 @@ def compute(self, coil_params, eq_params=None, constants=None): for param, idx in zip(tree_leaves(coil_params), self._indices) ] ) + coil_currents = self.things[0]._all_currents(coil_currents) coil_linking_current = jnp.sum(constants["link"] * coil_currents) return eq_linking_current - coil_linking_current diff --git a/tests/test_objective_funs.py b/tests/test_objective_funs.py index 982ae0d5f3..5e364083eb 100644 --- a/tests/test_objective_funs.py +++ b/tests/test_objective_funs.py @@ -1327,14 +1327,57 @@ def test_signed_plasma_vessel_distance(self): def test_linking_current(self): """Test calculation of signed linking current from coils to plasma.""" eq = Equilibrium() - G = eq.compute("G", grid=LinearGrid(rho=1.0))["G"] * 2 * jnp.pi / mu_0 - coil = FourierPlanarCoil(current=G / 8, center=[10, 1, 0]) - coilset = CoilSet.from_symmetry(coil, NFP=4, sym=True) - obj = LinkingCurrent(eq, coilset) + G = eq.compute("G", grid=LinearGrid(rho=1.0))["G"][0] * 2 * jnp.pi / mu_0 + c = G / 8 + coil1 = FourierPlanarCoil(current=1.5 * c, center=[10, 1, 0]) + coil2 = FourierPlanarCoil(current=0.5 * c, center=[10, 2, 0]) + # explicit symmetry coils + coilset1 = CoilSet.from_symmetry((coil1, coil2), NFP=2, sym=True) + expected_currents = [ + c * 1.5, # these are the 2 actual coils, with different currents + c * 0.5, + -c * 0.5, # these are the stellarator symmetric ones in first field period + -c * 1.5, + c * 1.5, # these next 4 are the ones from the 2nd field period + c * 0.5, + -c * 0.5, + -c * 1.5, + ] + np.testing.assert_allclose(coilset1._all_currents(), expected_currents) + obj = LinkingCurrent(eq, coilset1) obj.build() - f = obj.compute(eq.params_dict, coilset.params_dict) + f = obj.compute(coilset1.params_dict, eq.params_dict) np.testing.assert_allclose(f, 0) + # same with virtual coils + coilset2 = CoilSet(coil1, coil2, NFP=2, sym=True) + np.testing.assert_allclose(coilset2._all_currents(), expected_currents) + obj = LinkingCurrent(eq, coilset2) + obj.build() + f = obj.compute(coilset2.params_dict, eq.params_dict) + np.testing.assert_allclose(f, 0) + + # both coilsets together. These have overlapping coils but it doesn't + # affect the linking number + coilset3 = MixedCoilSet(coilset1, coilset2, check_intersection=False) + np.testing.assert_allclose( + coilset3._all_currents(), expected_currents + expected_currents + ) + obj = LinkingCurrent(eq, coilset3) + obj.build() + f = obj.compute(coilset3.params_dict, eq.params_dict) + np.testing.assert_allclose(f, -G) # coils provide 2G so error is -G + + # CoilSet + 1 extra coil + coilset4 = MixedCoilSet(coilset1, coil2, check_intersection=False) + np.testing.assert_allclose( + coilset4._all_currents(), expected_currents + [0.5 * G / 8] + ) + obj = LinkingCurrent(eq, coilset4) + obj.build() + f = obj.compute(coilset4.params_dict, eq.params_dict) + np.testing.assert_allclose(f, -0.5 * G / 8) + @pytest.mark.regression def test_derivative_modes(): From ea8172168d947d27e403eff066b40cd44407e29f Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 13 Nov 2024 18:40:04 -0500 Subject: [PATCH 08/28] Fix test --- desc/objectives/_coils.py | 4 ++-- tests/test_optimizer.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/desc/objectives/_coils.py b/desc/objectives/_coils.py index b8aa701959..8d821623af 100644 --- a/desc/objectives/_coils.py +++ b/desc/objectives/_coils.py @@ -1514,7 +1514,7 @@ class LinkingCurrent(_Objective): _scalar = True _units = "(A)" - _print_value_fmt = "Linking current: " + _print_value_fmt = "Linking current error: " def __init__( self, @@ -1617,7 +1617,7 @@ def build(self, use_jit=True, verbose=1): profiles=profiles, ) eq_linking_current = 2 * jnp.pi * data["G"][0] / mu_0 - self._constants["eq_linking_current"] = (eq_linking_current,) + self._constants["eq_linking_current"] = eq_linking_current else: self._constants["profiles"] = profiles self._constants["transforms"] = transforms diff --git a/tests/test_optimizer.py b/tests/test_optimizer.py index 4b07aa9ccd..7d6b912cf8 100644 --- a/tests/test_optimizer.py +++ b/tests/test_optimizer.py @@ -1378,6 +1378,6 @@ def test_optimize_coil_currents(DummyCoilSet): ) # check that optimized coil currents changed by more than 15% from initial values np.testing.assert_array_less( - np.asarray(coils.current) * 0.15, - np.abs(np.asarray(coils_opt.current) - np.asarray(coils.current)), + np.asarray(coils.current).mean() * 0.15, + np.abs(np.asarray(coils_opt.current) - np.asarray(coils.current)).mean(), ) From 6b102be52c00c1f29573bc85aa2d7e100bc55254 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 13 Nov 2024 18:45:34 -0500 Subject: [PATCH 09/28] Update changelog --- CHANGELOG.md | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 931e5621d4..8b0d53b12e 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,6 +2,7 @@ Changelog ========= New Features +- Add ``desc.objectives.LinkingCurrent`` for ensuring that coils in a stage 2 or single stage optimization provide the required linking current for a given equilibrium. - Add ``from_input_file`` method to ``Equilibrium`` class to generate an ``Equilibrium`` object with boundary, profiles, resolution and flux specified in a given DESC or VMEC input file @@ -266,7 +267,7 @@ optimization. Set to False by default. non-singular, non-degenerate) coordinate mappings for initial guesses. This is applied automatically when creating a new `Equilibrium` if the default initial guess of scaling the boundary surface produces self-intersecting surfaces. This can be disabled by -passing `ensure_nested=False` when constructing the `Equilibrum`. +passing `ensure_nested=False` when constructing the `Equilibrium`. - Adds `loss_function` argument to all `Objective`s for applying one of min/max/mean to objective function values (for targeting the average value of a profile, etc). - `Equilibrium.get_profile` now allows user to choose a profile type (power series, spline, etc) @@ -418,7 +419,7 @@ Breaking changes - Renames ``theta_sfl`` to ``theta_PEST`` in compute functions to avoid confusion with other straight field line coordinate systems. - Makes plotting kwargs a bit more uniform. ``zeta``, ``nzeta``, ``nphi`` have all been -superceded by ``phi`` which can be an integer for equally spaced angles or a float or +superseded by ``phi`` which can be an integer for equally spaced angles or a float or array of float to specify angles manually. Bug fixes @@ -488,7 +489,7 @@ the future all quantities should evaluate correctly at the magnetic axis. Note t evaluating quantities at the axis generally requires higher order derivatives and so can be much more expensive than evaluating at nonsingular points, so during optimization it is not recommended to include a grid point at the axis. Generally a small finite value -such as ``rho = 1e-6`` will avoid the singuarlity with a negligible loss in accuracy for +such as ``rho = 1e-6`` will avoid the singularity with a negligible loss in accuracy for analytic quantities. - Adds new optimizers ``fmin-auglag`` and ``lsq-auglag`` for performing constrained optimization using the augmented Lagrangian method. These generally perform much better @@ -504,7 +505,7 @@ the existing methods ``compute_theta_coordinates`` and ``compute_flux_coordinate but allows mapping between arbitrary coordinates. - Adds calculation of $\nabla \mathbf{B}$ tensor and corresponding $L_{\nabla B}$ metric - Adds objective ``BScaleLength`` for penalizing strong magnetic field curvature. -- Adds objective ``ObjectiveFromUser`` for wrapping an arbitary user defined function. +- Adds objective ``ObjectiveFromUser`` for wrapping an arbitrary user defined function. - Adds utilities ``desc.grid.find_least_rational_surfaces`` and ``desc.grid.find_most_rational_surfaces`` for finding the least/most rational surfaces for a given rotational transform profile. @@ -1040,7 +1041,7 @@ New Features: - Updates `Equilibrium` to make creating them more straightforward. - Instead of a dictionary of arrays and values, init method now takes individual arguments. These can either be objects of the - correct type (ie `Surface` objects for boundary condiitons, + correct type (ie `Surface` objects for boundary conditions, `Profile` for pressure and iota etc,) or ndarrays which will get parsed into objects of the correct type (for backwards compatibility) @@ -1324,7 +1325,7 @@ Major changes: indexing, where only M+1 points were used instead of the correct 2\*M+1 - Rotated concentric grids by 2pi/3M to avoid symmetry plane at - theta=0,pi. Previously, for stellarator symmetic cases, the nodes at + theta=0,pi. Previously, for stellarator symmetric cases, the nodes at theta=0 did not contribute to helical force balance. - Added [L\_grid]{.title-ref} parameter to specify radial resolution of grid nodes directly and making the API more consistent. @@ -1490,7 +1491,7 @@ saved, and objectives getting compiled more often than necessary Major Changes: -- Changes to Equilibium/EquilibriaFamily: +- Changes to Equilibrium/EquilibriaFamily: - general switching to using properties rather than direct attributes when referencing things (ie, `eq.foo`, not `eq._foo`). This allows getter methods to have safeguards if From 8a1958a8df9e60afcebc12a6d12989d5190ec9fd Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 13 Nov 2024 18:57:16 -0500 Subject: [PATCH 10/28] Update changelog action version --- .github/workflows/changelog_update.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/changelog_update.yml b/.github/workflows/changelog_update.yml index c3b1691be6..78ca014c42 100644 --- a/.github/workflows/changelog_update.yml +++ b/.github/workflows/changelog_update.yml @@ -28,7 +28,7 @@ jobs: - uses: actions/checkout@v4 - if: ${{ !contains(github.event.pull_request.labels.*.name, 'skip_changelog') && env.has_changes == 'true'}} - uses: danieljimeneznz/ensure-files-changed@v4.1.0 + uses: danieljimeneznz/ensure-files-changed@v4.1.1 with: require-changes-to: | CHANGELOG.md From 4dee03483c07fdd032c43b4a4c5e17af39af8054 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 13 Nov 2024 21:16:36 -0500 Subject: [PATCH 11/28] Allow OmnigenousField to compute Bmin, Bmax, mirror ratio --- desc/compute/_field.py | 12 ++++++++++++ tests/inputs/master_compute_data_rpz.pkl | Bin 8677545 -> 8652376 bytes 2 files changed, 12 insertions(+) diff --git a/desc/compute/_field.py b/desc/compute/_field.py index 97cb44515f..a46e97ac8e 100644 --- a/desc/compute/_field.py +++ b/desc/compute/_field.py @@ -3394,6 +3394,10 @@ def _B_dot_gradB_z(params, transforms, profiles, data, **kwargs): coordinates="r", data=["|B|"], resolution_requirement="tz", + parameterization=[ + "desc.equilibrium.equilibrium.Equilibrium", + "desc.magnetic_fields._core.OmnigenousField", + ], ) def _min_tz_modB(params, transforms, profiles, data, **kwargs): data["min_tz |B|"] = surface_min(transforms["grid"], data["|B|"]) @@ -3413,6 +3417,10 @@ def _min_tz_modB(params, transforms, profiles, data, **kwargs): coordinates="r", data=["|B|"], resolution_requirement="tz", + parameterization=[ + "desc.equilibrium.equilibrium.Equilibrium", + "desc.magnetic_fields._core.OmnigenousField", + ], ) def _max_tz_modB(params, transforms, profiles, data, **kwargs): data["max_tz |B|"] = surface_max(transforms["grid"], data["|B|"]) @@ -3431,6 +3439,10 @@ def _max_tz_modB(params, transforms, profiles, data, **kwargs): profiles=[], coordinates="r", data=["min_tz |B|", "max_tz |B|"], + parameterization=[ + "desc.equilibrium.equilibrium.Equilibrium", + "desc.magnetic_fields._core.OmnigenousField", + ], ) def _mirror_ratio(params, transforms, profiles, data, **kwargs): data["mirror ratio"] = (data["max_tz |B|"] - data["min_tz |B|"]) / ( diff --git a/tests/inputs/master_compute_data_rpz.pkl b/tests/inputs/master_compute_data_rpz.pkl index 7a887be3de2790dcbf3bb333b9594fbfa803c7d8..c40c0f82e109ed5e59c35dc2e0969835576f3576 100644 GIT binary patch delta 3549558 zcmeFac_39?|2E!sj#&dKlrmLll2jsDM`@r8l_DxMDH%$Mqz+1RB*SVzB@vM+9a7dY zXC6c5nNY?k8Gft#zR&%AzW06iIKMyM_kF(ayZfW-?7i1sd+lp|KG*eG`|M6(#a`6P 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z;BUv|p^{r_Tgy@G=4G+wrjNkv-&jklnwrr;==+hNufVr|#&2NZv4V>zP?3iJWkqiNge}KVzud>cjY*Z@A{o%S?(kz!D5^GdOTqBi??U9f o Date: Wed, 13 Nov 2024 21:17:11 -0500 Subject: [PATCH 12/28] Add MirrorRatio objective --- desc/objectives/__init__.py | 1 + desc/objectives/_geometry.py | 143 +++++++++++++++++++++++++++++++++++ tests/test_objective_funs.py | 39 ++++++++++ 3 files changed, 183 insertions(+) diff --git a/desc/objectives/__init__.py b/desc/objectives/__init__.py index 81e50c632d..0e2565586f 100644 --- a/desc/objectives/__init__.py +++ b/desc/objectives/__init__.py @@ -29,6 +29,7 @@ Elongation, GoodCoordinates, MeanCurvature, + MirrorRatio, PlasmaVesselDistance, PrincipalCurvature, Volume, diff --git a/desc/objectives/_geometry.py b/desc/objectives/_geometry.py index 5aeee652af..97e96b89d8 100644 --- a/desc/objectives/_geometry.py +++ b/desc/objectives/_geometry.py @@ -1358,3 +1358,146 @@ def compute(self, params, constants=None): f = data["g_rr"] return jnp.concatenate([g, constants["sigma"] * f]) + + +class MirrorRatio(_Objective): + """Target a particular value mirror ratio. + + The mirror ratio is defined as: + + (Bₘₐₓ - Bₘᵢₙ) / (Bₘₐₓ + Bₘᵢₙ) + + Where Bₘₐₓ and Bₘᵢₙ are the maximum and minimum values of ||B|| on given surface. + Returns one value for each surface in ``grid``. + + Parameters + ---------- + eq : Equilibrium or OmnigenousField + Equilibrium or OmnigenousField that + will be optimized to satisfy the Objective. + grid : Grid, optional + Collocation grid containing the nodes to evaluate at. Defaults to + ``LinearGrid(M=eq.M_grid, N=eq.N_grid)`` for ``Equilibrium`` + or ``LinearGrid(theta=2*eq.M_B, N=2*eq.N_x)`` for ``OmnigenousField``. + + """ + + __doc__ = __doc__.rstrip() + collect_docs( + target_default="``target=0.2``.", + bounds_default="``target=0.2``.", + ) + + _coordinates = "r" + _units = "(dimensionless)" + _print_value_fmt = "Mirror ratio: " + + def __init__( + self, + eq, + target=None, + bounds=None, + weight=1, + normalize=True, + normalize_target=True, + loss_function=None, + deriv_mode="auto", + grid=None, + name="mirror ratio", + jac_chunk_size=None, + ): + if target is None and bounds is None: + target = 0.2 + self._grid = grid + super().__init__( + things=eq, + target=target, + bounds=bounds, + weight=weight, + normalize=normalize, + normalize_target=normalize_target, + loss_function=loss_function, + deriv_mode=deriv_mode, + name=name, + jac_chunk_size=jac_chunk_size, + ) + + def build(self, use_jit=True, verbose=1): + """Build constant arrays. + + Parameters + ---------- + use_jit : bool, optional + Whether to just-in-time compile the objective and derivatives. + verbose : int, optional + Level of output. + + """ + eq = self.things[0] + from desc.equilibrium import Equilibrium + from desc.magnetic_fields import OmnigenousField + + if self._grid is None and isinstance(eq, Equilibrium): + grid = LinearGrid( + M=eq.M_grid, + N=eq.N_grid, + NFP=eq.NFP, + sym=eq.sym, + ) + elif self._grid is None and isinstance(eq, OmnigenousField): + grid = LinearGrid( + theta=2 * eq.M_B, + N=2 * eq.N_x, + NFP=eq.NFP, + ) + else: + grid = self._grid + + self._dim_f = grid.num_rho + self._data_keys = ["mirror ratio"] + + timer = Timer() + if verbose > 0: + print("Precomputing transforms") + timer.start("Precomputing transforms") + + profiles = get_profiles(self._data_keys, obj=eq, grid=grid) + transforms = get_transforms(self._data_keys, obj=eq, grid=grid) + self._constants = { + "transforms": transforms, + "profiles": profiles, + } + + timer.stop("Precomputing transforms") + if verbose > 1: + timer.disp("Precomputing transforms") + + super().build(use_jit=use_jit, verbose=verbose) + + def compute(self, params, constants=None): + """Compute mirro ratio. + + Parameters + ---------- + params : dict + Dictionary of equilibrium or field degrees of freedom, + eg Equilibrium.params_dict + constants : dict + Dictionary of constant data, eg transforms, profiles etc. Defaults to + self.constants + + Returns + ------- + M : ndarray + Mirror ratio on each surface. + + """ + if constants is None: + constants = self.constants + data = compute_fun( + self.things[0], + self._data_keys, + params=params, + transforms=constants["transforms"], + profiles=constants["profiles"], + ) + return constants["transforms"]["grid"].compress(data["mirror ratio"]) diff --git a/tests/test_objective_funs.py b/tests/test_objective_funs.py index a429358407..50aea5b746 100644 --- a/tests/test_objective_funs.py +++ b/tests/test_objective_funs.py @@ -60,6 +60,7 @@ MagneticWell, MeanCurvature, MercierStability, + MirrorRatio, ObjectiveFromUser, ObjectiveFunction, Omnigenity, @@ -1322,6 +1323,44 @@ def test_signed_plasma_vessel_distance(self): ) obj.build() + @pytest.mark.unit + def test_mirror_ratio_equilibrium(self): + """Test mirror ratio objective for Equilibrium.""" + # axisymmetry, no iota, so B ~ B0/R + eq = Equilibrium() + eq.solve() + # R0 = 10, a=1, so Bmax = B0/9, Bmin = B0/11 + mirror_ratio = (1 / 9 - 1 / 11) / (1 / 9 + 1 / 11) + obj = MirrorRatio(eq) + obj.build() + f = obj.compute(eq.params_dict) + # not perfect agreement bc eq is low res, so B isnt exactly B0/R + np.testing.assert_allclose(f, mirror_ratio, rtol=0.13) + + @pytest.mark.unit + def test_mirror_ratio_omni_field(self): + """Test mirror ratio objective for OmnigenousField.""" + field = OmnigenousField( + L_B=1, + M_B=3, + L_x=1, + M_x=1, + N_x=1, + NFP=1, + helicity=(0, 1), + B_lm=np.array( + [ + [0.8, 1.0, 1.2], # taken from omnigenity tutorial + [0, 0, 0], + ] + ).flatten(), + ) + mirror_ratio = (1.2 - 0.8) / (1.2 + 0.8) + obj = MirrorRatio(field) + obj.build() + f = obj.compute(field.params_dict) + np.testing.assert_allclose(f, mirror_ratio) + @pytest.mark.regression def test_derivative_modes(): From a63f2ae120ca027cebd72648e01e21642816dc65 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 11 Dec 2024 18:24:45 -0500 Subject: [PATCH 13/28] Rename linking current objective and expand docstring --- CHANGELOG.md | 2 +- desc/objectives/__init__.py | 2 +- desc/objectives/_coils.py | 13 ++++++++++--- docs/api.rst | 1 + docs/api_objectives.rst | 1 + tests/test_objective_funs.py | 22 +++++++++++----------- tests/test_optimizer.py | 4 ++-- 7 files changed, 27 insertions(+), 18 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index ae716dc279..19200c73c8 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -4,7 +4,7 @@ Changelog New Feature - Adds a new profile class ``PowerProfile`` for raising profiles to a power. -- Add ``desc.objectives.LinkingCurrent`` for ensuring that coils in a stage 2 or single stage optimization provide the required linking current for a given equilibrium. +- Add ``desc.objectives.LinkingCurrentConsistency`` for ensuring that coils in a stage 2 or single stage optimization provide the required linking current for a given equilibrium. Bug Fixes diff --git a/desc/objectives/__init__.py b/desc/objectives/__init__.py index d6244beb3d..f97fb16606 100644 --- a/desc/objectives/__init__.py +++ b/desc/objectives/__init__.py @@ -9,7 +9,7 @@ CoilSetLinkingNumber, CoilSetMinDistance, CoilTorsion, - LinkingCurrent, + LinkingCurrentConsistency, PlasmaCoilSetMinDistance, QuadraticFlux, SurfaceCurrentRegularization, diff --git a/desc/objectives/_coils.py b/desc/objectives/_coils.py index ed8a0cfc98..86fa9cac40 100644 --- a/desc/objectives/_coils.py +++ b/desc/objectives/_coils.py @@ -1763,9 +1763,15 @@ def compute(self, params_1, params_2=None, constants=None): return Psi -class LinkingCurrent(_Objective): +class LinkingCurrentConsistency(_Objective): """Target the self-consistent poloidal linking current between the plasma and coils. + A self-consistent coil + plasma configuration must have the sum of the signed + currents in the coils that poloidally link the plasma equal to the total poloidal + current in the plasma G. This objective computes the difference between these two + quantities, such that a value of zero means the coils create the correct net + poloidal current. + Assumes the coil topology does not change (ie the linking number with the plasma is fixed). @@ -1796,6 +1802,9 @@ def __init__( self, eq, coil, + *, + grid=None, + eq_fixed=False, target=None, bounds=None, weight=1, @@ -1803,8 +1812,6 @@ def __init__( normalize_target=True, loss_function=None, deriv_mode="auto", - grid=None, - eq_fixed=False, jac_chunk_size=None, name="linking current", ): diff --git a/docs/api.rst b/docs/api.rst index fa32edb869..7e0c848a19 100644 --- a/docs/api.rst +++ b/docs/api.rst @@ -208,6 +208,7 @@ Objective Functions desc.objectives.HelicalForceBalance desc.objectives.Isodynamicity desc.objectives.LinearObjectiveFromUser + desc.objectives.LinkingCurrentConsistency desc.objectives.MagneticWell desc.objectives.MeanCurvature desc.objectives.MercierStability diff --git a/docs/api_objectives.rst b/docs/api_objectives.rst index 5fddaaed08..4096748af6 100644 --- a/docs/api_objectives.rst +++ b/docs/api_objectives.rst @@ -108,6 +108,7 @@ Coil Optimization desc.objectives.CoilArclengthVariance desc.objectives.ToroidalFlux desc.objectives.SurfaceCurrentRegularization + desc.objectives.LinkingCurrentConsistency Profiles diff --git a/tests/test_objective_funs.py b/tests/test_objective_funs.py index 38c67a0743..e1efadc53b 100644 --- a/tests/test_objective_funs.py +++ b/tests/test_objective_funs.py @@ -59,7 +59,7 @@ HeatingPowerISS04, Isodynamicity, LinearObjectiveFromUser, - LinkingCurrent, + LinkingCurrentConsistency, MagneticWell, MeanCurvature, MercierStability, @@ -1445,7 +1445,7 @@ def test_linking_current(self): -c * 1.5, ] np.testing.assert_allclose(coilset1._all_currents(), expected_currents) - obj = LinkingCurrent(eq, coilset1) + obj = LinkingCurrentConsistency(eq, coilset1) obj.build() f = obj.compute(coilset1.params_dict, eq.params_dict) np.testing.assert_allclose(f, 0) @@ -1453,7 +1453,7 @@ def test_linking_current(self): # same with virtual coils coilset2 = CoilSet(coil1, coil2, NFP=2, sym=True) np.testing.assert_allclose(coilset2._all_currents(), expected_currents) - obj = LinkingCurrent(eq, coilset2) + obj = LinkingCurrentConsistency(eq, coilset2) obj.build() f = obj.compute(coilset2.params_dict, eq.params_dict) np.testing.assert_allclose(f, 0) @@ -1464,7 +1464,7 @@ def test_linking_current(self): np.testing.assert_allclose( coilset3._all_currents(), expected_currents + expected_currents ) - obj = LinkingCurrent(eq, coilset3) + obj = LinkingCurrentConsistency(eq, coilset3) obj.build() f = obj.compute(coilset3.params_dict, eq.params_dict) np.testing.assert_allclose(f, -G) # coils provide 2G so error is -G @@ -1474,7 +1474,7 @@ def test_linking_current(self): np.testing.assert_allclose( coilset4._all_currents(), expected_currents + [0.5 * G / 8] ) - obj = LinkingCurrent(eq, coilset4) + obj = LinkingCurrentConsistency(eq, coilset4) obj.build() f = obj.compute(coilset4.params_dict, eq.params_dict) np.testing.assert_allclose(f, -0.5 * G / 8) @@ -2515,7 +2515,7 @@ class TestComputeScalarResolution: FusionPower, GenericObjective, HeatingPowerISS04, - LinkingCurrent, + LinkingCurrentConsistency, Omnigenity, PlasmaCoilSetMinDistance, PlasmaVesselDistance, @@ -2949,14 +2949,14 @@ def test_compute_scalar_resolution_coils(self, objective): @pytest.mark.unit def test_compute_scalar_resolution_linking_current(self): - """LinkingCurrent.""" + """LinkingCurrentConsistency.""" coil = FourierPlanarCoil(center=[10, 1, 0]) eq = Equilibrium() coilset = CoilSet.from_symmetry(coil, NFP=4, sym=True) f = np.zeros_like(self.res_array, dtype=float) for i, res in enumerate(self.res_array): obj = ObjectiveFunction( - LinkingCurrent( + LinkingCurrentConsistency( eq, coilset, grid=LinearGrid(M=int(eq.M_grid * res), N=int(eq.N_grid * res)), @@ -2996,7 +2996,7 @@ class TestObjectiveNaNGrad: ForceBalanceAnisotropic, FusionPower, HeatingPowerISS04, - LinkingCurrent, + LinkingCurrentConsistency, Omnigenity, PlasmaCoilSetMinDistance, PlasmaVesselDistance, @@ -3283,11 +3283,11 @@ def test_objective_no_nangrad_ballooning(self): @pytest.mark.unit def test_objective_no_nangrad_linking_current(self): - """LinkingCurrent.""" + """LinkingCurrentConsistency.""" coil = FourierPlanarCoil(center=[10, 1, 0]) coilset = CoilSet.from_symmetry(coil, NFP=4, sym=True) eq = Equilibrium() - obj = ObjectiveFunction(LinkingCurrent(eq, coilset)) + obj = ObjectiveFunction(LinkingCurrentConsistency(eq, coilset)) obj.build() g = obj.grad(obj.x()) assert not np.any(np.isnan(g)) diff --git a/tests/test_optimizer.py b/tests/test_optimizer.py index ccb4c13f59..3a31eaecec 100644 --- a/tests/test_optimizer.py +++ b/tests/test_optimizer.py @@ -35,7 +35,7 @@ FixPsi, ForceBalance, GenericObjective, - LinkingCurrent, + LinkingCurrentConsistency, MagneticWell, MeanCurvature, ObjectiveFunction, @@ -1405,7 +1405,7 @@ def test_optimize_coil_currents(DummyCoilSet): coil.current = current / coils.num_coils objective = ObjectiveFunction(QuadraticFlux(eq=eq, field=coils, vacuum=True)) - constraints = LinkingCurrent(eq, coils, eq_fixed=True) + constraints = LinkingCurrentConsistency(eq, coils, eq_fixed=True) optimizer = Optimizer("lsq-exact") [coils_opt], _ = optimizer.optimize( things=coils, From 8f39791ee8c7320e6db5aea54e938376817850f9 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 11 Dec 2024 20:13:29 -0500 Subject: [PATCH 14/28] suppress warning about incompatible constraints --- tests/test_optimizer.py | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/tests/test_optimizer.py b/tests/test_optimizer.py index 3a31eaecec..637d247a87 100644 --- a/tests/test_optimizer.py +++ b/tests/test_optimizer.py @@ -1407,13 +1407,15 @@ def test_optimize_coil_currents(DummyCoilSet): objective = ObjectiveFunction(QuadraticFlux(eq=eq, field=coils, vacuum=True)) constraints = LinkingCurrentConsistency(eq, coils, eq_fixed=True) optimizer = Optimizer("lsq-exact") - [coils_opt], _ = optimizer.optimize( - things=coils, - objective=objective, - constraints=constraints, - verbose=2, - copy=True, - ) + with warnings.catch_warnings(): + warnings.filterwarnings("ignore", message=".*\n.*\nIncompatible") + [coils_opt], _ = optimizer.optimize( + things=coils, + objective=objective, + constraints=constraints, + verbose=2, + copy=True, + ) # check that optimized coil currents changed by more than 15% from initial values np.testing.assert_array_less( np.asarray(coils.current).mean() * 0.15, From 455a09bde3c1e435efe207c78afee802acf96437 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Thu, 12 Dec 2024 15:35:45 -0500 Subject: [PATCH 15/28] Use multiple surfaces in omni field mirror ratio test --- tests/test_objective_funs.py | 19 ++++++++++++++----- 1 file changed, 14 insertions(+), 5 deletions(-) diff --git a/tests/test_objective_funs.py b/tests/test_objective_funs.py index f8db7dad52..6f4b4f91fc 100644 --- a/tests/test_objective_funs.py +++ b/tests/test_objective_funs.py @@ -1451,16 +1451,25 @@ def test_mirror_ratio_omni_field(self): helicity=(0, 1), B_lm=np.array( [ - [0.8, 1.0, 1.2], # taken from omnigenity tutorial - [0, 0, 0], + # f(r) = B0 + B1*(2r-1) + # f(0) = [0.8, 1.0, 1.2] + # f(1) = [1.0, 1.0, 1.0] + [0.9, 1.0, 1.1], # B0 + [0.1, 0.0, -0.1], # B1 ] ).flatten(), ) - mirror_ratio = (1.2 - 0.8) / (1.2 + 0.8) - obj = MirrorRatio(field) + + mirror_ratio_axis = (1.2 - 0.8) / (1.2 + 0.8) + mirror_ratio_edge = 0.0 + grid = LinearGrid(L=5, theta=6, N=2) + rho = grid.nodes[grid.unique_rho_idx, 0] + obj = MirrorRatio(field, grid=grid) obj.build() f = obj.compute(field.params_dict) - np.testing.assert_allclose(f, mirror_ratio) + np.testing.assert_allclose( + f, mirror_ratio_axis * (1 - rho) + mirror_ratio_edge * rho + ) @pytest.mark.unit def test_omnigenity_multiple_surfaces(self): From 5be74a8031b14a11ff941ca0e96c671941bb1339 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Thu, 12 Dec 2024 15:38:58 -0500 Subject: [PATCH 16/28] Mark mirror ratio objective params as keyword only --- desc/objectives/_geometry.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/desc/objectives/_geometry.py b/desc/objectives/_geometry.py index 258cef80b2..018a2b820a 100644 --- a/desc/objectives/_geometry.py +++ b/desc/objectives/_geometry.py @@ -1364,14 +1364,13 @@ class MirrorRatio(_Objective): (Bₘₐₓ - Bₘᵢₙ) / (Bₘₐₓ + Bₘᵢₙ) - Where Bₘₐₓ and Bₘᵢₙ are the maximum and minimum values of ||B|| on given surface. + Where Bₘₐₓ and Bₘᵢₙ are the maximum and minimum values of ||B|| on a given surface. Returns one value for each surface in ``grid``. Parameters ---------- eq : Equilibrium or OmnigenousField - Equilibrium or OmnigenousField that - will be optimized to satisfy the Objective. + Equilibrium or OmnigenousField that will be optimized to satisfy the Objective. grid : Grid, optional Collocation grid containing the nodes to evaluate at. Defaults to ``LinearGrid(M=eq.M_grid, N=eq.N_grid)`` for ``Equilibrium`` @@ -1391,6 +1390,8 @@ class MirrorRatio(_Objective): def __init__( self, eq, + *, + grid=None, target=None, bounds=None, weight=1, @@ -1398,7 +1399,6 @@ def __init__( normalize_target=True, loss_function=None, deriv_mode="auto", - grid=None, name="mirror ratio", jac_chunk_size=None, ): From e1009209f47f1e18362e0d8533c1176bf16b87d6 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Thu, 12 Dec 2024 15:40:02 -0500 Subject: [PATCH 17/28] Add mirror ratio objective to docs --- docs/api.rst | 1 + docs/api_objectives.rst | 1 + 2 files changed, 2 insertions(+) diff --git a/docs/api.rst b/docs/api.rst index fa32edb869..0334e6d450 100644 --- a/docs/api.rst +++ b/docs/api.rst @@ -211,6 +211,7 @@ Objective Functions desc.objectives.MagneticWell desc.objectives.MeanCurvature desc.objectives.MercierStability + desc.objectives.MirrorRatio desc.objectives.ObjectiveFromUser desc.objectives.ObjectiveFunction desc.objectives.Omnigenity diff --git a/docs/api_objectives.rst b/docs/api_objectives.rst index 5fddaaed08..77470dd5e8 100644 --- a/docs/api_objectives.rst +++ b/docs/api_objectives.rst @@ -49,6 +49,7 @@ Geometry desc.objectives.PrincipalCurvature desc.objectives.PlasmaVesselDistance desc.objectives.BScaleLength + desc.objectives.MirrorRatio desc.objectives.GoodCoordinates From ff346f5c21ece5e96abe3d0646f95d47ca703dd5 Mon Sep 17 00:00:00 2001 From: daniel-dudt Date: Thu, 12 Dec 2024 15:08:12 -0700 Subject: [PATCH 18/28] bug fix for Profile io attributes --- desc/profiles.py | 14 ++++++++------ tests/test_input_output.py | 28 ++++++++++++++++++++++++++++ 2 files changed, 36 insertions(+), 6 deletions(-) diff --git a/desc/profiles.py b/desc/profiles.py index ae1684abb2..faaa7e3abd 100644 --- a/desc/profiles.py +++ b/desc/profiles.py @@ -35,7 +35,7 @@ class _Profile(IOAble, ABC): Subclasses must also implement getter and setter methods for params """ - _io_attrs_ = ["_name", "_params"] + _io_attrs_ = ["_name"] def __init__(self, name=""): self.name = name @@ -673,7 +673,7 @@ class PowerSeriesProfile(_Profile): """ - _io_attrs_ = _Profile._io_attrs_ + ["_basis"] + _io_attrs_ = _Profile._io_attrs_ + ["_params", "_basis"] def __init__(self, params=None, modes=None, sym="auto", name=""): super().__init__(name) @@ -848,7 +848,7 @@ class TwoPowerProfile(_Profile): """ - _io_attrs_ = _Profile._io_attrs_ + _io_attrs_ = _Profile._io_attrs_ + ["_params"] def __init__(self, params=None, name=""): super().__init__(name) @@ -954,7 +954,7 @@ class SplineProfile(_Profile): """ - _io_attrs_ = _Profile._io_attrs_ + ["_knots", "_method"] + _io_attrs_ = _Profile._io_attrs_ + ["_params", "_knots", "_method"] def __init__(self, values=None, knots=None, method="cubic2", name=""): super().__init__(name) @@ -1048,7 +1048,7 @@ class HermiteSplineProfile(_Profile): """ - _io_attrs_ = _Profile._io_attrs_ + ["_knots", "_params"] + _io_attrs_ = _Profile._io_attrs_ + ["_params", "_knots"] def __init__(self, f, df, knots=None, name=""): super().__init__(name) @@ -1149,6 +1149,8 @@ class MTanhProfile(_Profile): """ + _io_attrs_ = _Profile._io_attrs_ + ["_params"] + def __init__(self, params=None, name=""): super().__init__(name) @@ -1383,7 +1385,7 @@ class FourierZernikeProfile(_Profile): """ - _io_attrs_ = _Profile._io_attrs_ + ["_basis"] + _io_attrs_ = _Profile._io_attrs_ + ["_params", "_basis"] def __init__(self, params=None, modes=None, sym="auto", NFP=1, name=""): super().__init__(name) diff --git a/tests/test_input_output.py b/tests/test_input_output.py index 6ac1d4433b..9ad5337231 100644 --- a/tests/test_input_output.py +++ b/tests/test_input_output.py @@ -19,6 +19,14 @@ SplineMagneticField, ToroidalMagneticField, ) +from desc.profiles import ( + PowerProfile, + PowerSeriesProfile, + ProductProfile, + ScaledProfile, + SumProfile, + TwoPowerProfile, +) from desc.transform import Transform from desc.utils import equals @@ -666,6 +674,26 @@ def test_save_after_load(tmpdir_factory): assert eq2.equiv(eq) +@pytest.mark.unit +def test_io_profiles(tmpdir_factory): + """Test saving/loading profiles. Test for GH issue #1448.""" + p0 = SumProfile( + TwoPowerProfile(params=[0.6, 2, 1.5]), PowerSeriesProfile(params=[0.4, 0, -0.4]) + ) + n = ScaledProfile(2, PowerProfile(1 / 3, p0)) + T = ScaledProfile(0.5, PowerProfile(2 / 3, p0)) + p1 = ProductProfile(n, T) + + tmpdir = tmpdir_factory.mktemp("profiles") + tmp_path = tmpdir.join("p0.h5") + p1.save(tmp_path) + p2 = load(tmp_path) + + x = np.linspace(0.1, 0.9, 9) + np.testing.assert_allclose(p0(x), p1(x)) + np.testing.assert_allclose(p1(x), p2(x)) + + @pytest.mark.unit def test_io_OmnigenousField(tmpdir_factory): """Test saving/loading an OmnigenousField works (tests dict saving).""" From 0f6d0b0f3f887e6d0147dc5519cc982267a152a8 Mon Sep 17 00:00:00 2001 From: daniel-dudt Date: Thu, 12 Dec 2024 15:24:03 -0700 Subject: [PATCH 19/28] update Changelog --- CHANGELOG.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 50352e2d2d..274f664154 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -9,7 +9,8 @@ New Feature Bug Fixes -- Small bug fix to use the correct normalization length ``a`` in the BallooningStability objective +- Small bug fix to use the correct normalization length ``a`` in the BallooningStability objective. +- Fixed I/O bug when saving/loading ``_Profile`` classes that do not have a ``_params`` attribute. v0.13.0 ------- From 7dcd99f630f7aa97d9557ce0236b9c54904f1e7c Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Thu, 12 Dec 2024 20:53:47 -0500 Subject: [PATCH 20/28] Update desc/objectives/_coils.py Co-authored-by: Dario Panici <37969854+dpanici@users.noreply.github.com> --- desc/objectives/_coils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/desc/objectives/_coils.py b/desc/objectives/_coils.py index 86fa9cac40..f419bf5e4d 100644 --- a/desc/objectives/_coils.py +++ b/desc/objectives/_coils.py @@ -1768,7 +1768,7 @@ class LinkingCurrentConsistency(_Objective): A self-consistent coil + plasma configuration must have the sum of the signed currents in the coils that poloidally link the plasma equal to the total poloidal - current in the plasma G. This objective computes the difference between these two + current required to be linked by the plasma according to the loop integral of its toroidal magnetic field, given by `G(rho=1)`. This objective computes the difference between these two quantities, such that a value of zero means the coils create the correct net poloidal current. From ff1bda625b3197717d92a8ce92279acca4854849 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Thu, 12 Dec 2024 20:59:02 -0500 Subject: [PATCH 21/28] Apply suggestions from code review Co-authored-by: Yigit Gunsur Elmacioglu <102380275+YigitElma@users.noreply.github.com> --- tests/test_objective_funs.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_objective_funs.py b/tests/test_objective_funs.py index 6f4b4f91fc..aeeb0c6c15 100644 --- a/tests/test_objective_funs.py +++ b/tests/test_objective_funs.py @@ -1428,7 +1428,7 @@ def test_signed_plasma_vessel_distance(self): def test_mirror_ratio_equilibrium(self): """Test mirror ratio objective for Equilibrium.""" # axisymmetry, no iota, so B ~ B0/R - eq = Equilibrium() + eq = Equilibrium(L=8, M=8) eq.solve() # R0 = 10, a=1, so Bmax = B0/9, Bmin = B0/11 mirror_ratio = (1 / 9 - 1 / 11) / (1 / 9 + 1 / 11) @@ -1436,7 +1436,7 @@ def test_mirror_ratio_equilibrium(self): obj.build() f = obj.compute(eq.params_dict) # not perfect agreement bc eq is low res, so B isnt exactly B0/R - np.testing.assert_allclose(f, mirror_ratio, rtol=0.13) + np.testing.assert_allclose(f, mirror_ratio, rtol=3e-3) @pytest.mark.unit def test_mirror_ratio_omni_field(self): From 8850893b6b9195835eb42684a316e0c5bdf7f91e Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Thu, 12 Dec 2024 21:01:14 -0500 Subject: [PATCH 22/28] Update changelog --- CHANGELOG.md | 1 + 1 file changed, 1 insertion(+) diff --git a/CHANGELOG.md b/CHANGELOG.md index 50352e2d2d..aee56dc17f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -6,6 +6,7 @@ New Feature - Adds a new profile class ``PowerProfile`` for raising profiles to a power. - Adds an option ``scaled_termination`` (defaults to True) to all of the desc optimizers to measure the norms for ``xtol`` and ``gtol`` in the scaled norm provided by ``x_scale`` (which defaults to using an adaptive scaling based on the Jacobian or Hessian). This should make things more robust when optimizing parameters with widely different magnitudes. The old behavior can be recovered by passing ``options={"scaled_termination": False}``. - ``desc.objectives.Omnigenity`` is now vectorized and able to optimize multiple surfaces at the same time. Previously it was required to use a different objective for each surface. +- Adds a new objective ``desc.objectives.MirrorRatio`` for targeting a particular mirror ratio on each flux surface, for either an ``Equilibrium`` or ``OmnigenousField``. Bug Fixes From eb076904f69e1206172ee2388c56db88cd2678c3 Mon Sep 17 00:00:00 2001 From: Dario Panici <37969854+dpanici@users.noreply.github.com> Date: Fri, 13 Dec 2024 13:13:09 -0500 Subject: [PATCH 23/28] Update desc/objectives/_geometry.py --- desc/objectives/_geometry.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/desc/objectives/_geometry.py b/desc/objectives/_geometry.py index 018a2b820a..747a3951c7 100644 --- a/desc/objectives/_geometry.py +++ b/desc/objectives/_geometry.py @@ -1471,7 +1471,7 @@ def build(self, use_jit=True, verbose=1): super().build(use_jit=use_jit, verbose=verbose) def compute(self, params, constants=None): - """Compute mirro ratio. + """Compute mirror ratio. Parameters ---------- From 7391f04fa20b2d19dae478fbbed01072a7162373 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 16 Dec 2024 17:28:58 +0000 Subject: [PATCH 24/28] Update scikit-image requirement from <=0.24.0 to <=0.25.0 Updates the requirements on [scikit-image](https://github.com/scikit-image/scikit-image) to permit the latest version. - [Release notes](https://github.com/scikit-image/scikit-image/releases) - [Changelog](https://github.com/scikit-image/scikit-image/blob/main/RELEASE.txt) - [Commits](https://github.com/scikit-image/scikit-image/compare/v0.1...v0.25.0) --- updated-dependencies: - dependency-name: scikit-image dependency-type: direct:production ... Signed-off-by: dependabot[bot] --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 43e74fde8d..9e0525e93e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -13,6 +13,6 @@ plotly >= 5.16, <= 5.24.1 psutil <= 6.1.0 pylatexenc >= 2.0, <= 2.10 quadax >= 0.2.2, <= 0.2.4 -scikit-image <= 0.24.0 +scikit-image <= 0.25.0 scipy >= 1.7.0, <= 1.14.1 termcolor <= 2.5.0 From 360ebfdf6f3da0f4c27b9e6023c9f16b1b2c6de8 Mon Sep 17 00:00:00 2001 From: daniel-dudt Date: Mon, 16 Dec 2024 16:31:44 -0700 Subject: [PATCH 25/28] add wb and wp to wout --- desc/vmec.py | 29 ++++++++++++++++++++--------- tests/test_vmec.py | 4 ++++ 2 files changed, 24 insertions(+), 9 deletions(-) diff --git a/desc/vmec.py b/desc/vmec.py index 14c4cafff0..5a243a350c 100644 --- a/desc/vmec.py +++ b/desc/vmec.py @@ -289,7 +289,16 @@ def save(cls, eq, path, surfs=128, verbose=1, M_nyq=None, N_nyq=None): # noqa: grid_full = LinearGrid(M=M_nyq, N=N_nyq, NFP=NFP, rho=r_full) data_quad = eq.compute( - ["R0/a", "V", "<|B|>_rms", "_vol", "_vol", "_vol"] + [ + "R0/a", + "V", + "W_B", + "W_p", + "<|B|>_rms", + "_vol", + "_vol", + "_vol", + ] ) data_axis = eq.compute(["G", "p", "R", "<|B|^2>", "<|B|>"], grid=grid_axis) data_lcfs = eq.compute(["G", "I", "R", "Z"], grid=grid_lcfs) @@ -502,6 +511,16 @@ def save(cls, eq, path, surfs=128, verbose=1, M_nyq=None, N_nyq=None): # noqa: betator.units = "None" betator[:] = data_quad["_vol"] + wb = file.createVariable("wb", np.float64) + wb.long_name = "plasma magnetic energy * mu_0/(4*pi^2)" + wb.units = "J^2/A^2" + wb[:] = data_quad["W_B"] * mu_0 / (4 * np.pi**2) + + wp = file.createVariable("wp", np.float64) + wp.long_name = "plasma thermodynamic energy * mu_0/(4*pi^2)" + wp.units = "J^2/A^2" + wp[:] = np.abs(data_quad["W_p"]) * mu_0 / (4 * np.pi**2) + # scalars computed at the magnetic axis rbtor0 = file.createVariable("rbtor0", np.float64) @@ -1338,16 +1357,8 @@ def fullfit(x): specw = file.createVariable("specw", np.float64, ("radius",)) specw[:] = np.zeros((file.dimensions["radius"].size,)) - # this is not the same as DESC's "W_B" - wb = file.createVariable("wb", np.float64) - wb[:] = 0.0 - wdot = file.createVariable("wdot", np.float64, ("time",)) wdot[:] = np.zeros((file.dimensions["time"].size,)) - - # this is not the same as DESC's "W_p" - wp = file.createVariable("wp", np.float64) - wp[:] = 0.0 """ file.close() diff --git a/tests/test_vmec.py b/tests/test_vmec.py index 91b34667aa..2edca5c281 100644 --- a/tests/test_vmec.py +++ b/tests/test_vmec.py @@ -496,6 +496,10 @@ def test_vmec_save_1(VMEC_save): np.testing.assert_allclose( vmec.variables["betator"][:], desc.variables["betator"][:], rtol=1e-5 ) + np.testing.assert_allclose(vmec.variables["wb"][:], desc.variables["wb"][:]) + np.testing.assert_allclose( + vmec.variables["wp"][:], desc.variables["wp"][:], rtol=1e-6 + ) np.testing.assert_allclose( vmec.variables["ctor"][:], desc.variables["ctor"][:], rtol=1e-5 ) From a326cdb8f41a5fe47ebd34dbadc17dbc9efe802c Mon Sep 17 00:00:00 2001 From: daniel-dudt Date: Mon, 16 Dec 2024 17:05:38 -0700 Subject: [PATCH 26/28] update Changelog --- CHANGELOG.md | 1 + 1 file changed, 1 insertion(+) diff --git a/CHANGELOG.md b/CHANGELOG.md index 348e970cd9..d39af8d574 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -8,6 +8,7 @@ New Feature - Adds an option ``scaled_termination`` (defaults to True) to all of the desc optimizers to measure the norms for ``xtol`` and ``gtol`` in the scaled norm provided by ``x_scale`` (which defaults to using an adaptive scaling based on the Jacobian or Hessian). This should make things more robust when optimizing parameters with widely different magnitudes. The old behavior can be recovered by passing ``options={"scaled_termination": False}``. - ``desc.objectives.Omnigenity`` is now vectorized and able to optimize multiple surfaces at the same time. Previously it was required to use a different objective for each surface. - Adds a new objective ``desc.objectives.MirrorRatio`` for targeting a particular mirror ratio on each flux surface, for either an ``Equilibrium`` or ``OmnigenousField``. +- Adds the output quantities ``wb`` and ``wp`` to ``VMECIO.save``. Bug Fixes From a647c1032d43eee0036724cf3fe10cbed9191bba Mon Sep 17 00:00:00 2001 From: daniel-dudt Date: Tue, 17 Dec 2024 11:19:29 -0700 Subject: [PATCH 27/28] update Perlmutter install docs --- docs/installation.rst | 23 ++++++----------------- 1 file changed, 6 insertions(+), 17 deletions(-) diff --git a/docs/installation.rst b/docs/installation.rst index 9df67563b8..403b1c658c 100644 --- a/docs/installation.rst +++ b/docs/installation.rst @@ -96,17 +96,18 @@ specific JAX GPU installation instructions, as that is the main installation dif **Note that DESC does not always test on or guarantee support of the latest version of JAX (which does not have a stable 1.0 release yet), and thus older versions of GPU-accelerated versions of JAX may need to be installed, which may in turn require lower versions of JaxLib, as well as CUDA and CuDNN.** + Perlmutter (NERSC) ++++++++++++++++++++++++++++++ -These instructions were tested and confirmed to work on the Perlmutter supercomputer at NERSC on June 18, 2024. +These instructions were tested and confirmed to work on the Perlmutter supercomputer at NERSC on December 17, 2024. Set up the correct cuda environment for jax installation .. code-block:: sh - module load cudatoolkit/12.2 + module load cudatoolkit/12.4 module load cudnn/8.9.3_cuda12 - module load python + module load python/3.11 Check that you have loaded these modules @@ -118,21 +119,9 @@ Create a conda environment for DESC (`following these instructions = 1.7.0, < 2.0.0 - -to - -.. code-block:: sh - - scipy >= 1.7.0, <= 1.11.3 + pip install --upgrade "jax[cuda12]" Clone and install DESC From 22174d03f951cb400917b0f6f075ea7f0553576f Mon Sep 17 00:00:00 2001 From: daniel-dudt Date: Tue, 17 Dec 2024 15:28:25 -0700 Subject: [PATCH 28/28] change units --- desc/vmec.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/desc/vmec.py b/desc/vmec.py index 5a243a350c..c6743c8d22 100644 --- a/desc/vmec.py +++ b/desc/vmec.py @@ -513,12 +513,12 @@ def save(cls, eq, path, surfs=128, verbose=1, M_nyq=None, N_nyq=None): # noqa: wb = file.createVariable("wb", np.float64) wb.long_name = "plasma magnetic energy * mu_0/(4*pi^2)" - wb.units = "J^2/A^2" + wb.units = "T^2*m^3" wb[:] = data_quad["W_B"] * mu_0 / (4 * np.pi**2) wp = file.createVariable("wp", np.float64) wp.long_name = "plasma thermodynamic energy * mu_0/(4*pi^2)" - wp.units = "J^2/A^2" + wp.units = "T^2*m^3" wp[:] = np.abs(data_quad["W_p"]) * mu_0 / (4 * np.pi**2) # scalars computed at the magnetic axis

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