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""" import os.path as op - import torch from ._typing import Any, NoReturn, Optional, Tensor @@ -142,11 +141,29 @@ def _load_cn( ) -def _load_c6( +def _load_c6_pt( dtype: torch.dtype = torch.double, device: Optional[torch.device] = None ) -> Tensor: """ - Load reference C6 coefficients from file and fill them into a tensor + Load reference C6 coefficients from torch file. + """ + path = op.join(op.dirname(__file__), "reference-c6.pt") + ref = torch.load(path).type(dtype).to(device) + return ref + + +def _load_c6_npy( + dtype: torch.dtype = torch.double, device: Optional[torch.device] = None +) -> Tensor: + """ + Load reference C6 coefficients from file and fill them into a tensor. + + Warning + ------- + The loops in this function are actually really slow and create a bottleneck + for the whole calculation. Since the output of this function is not + dependent on the system, we only use it to store the tensor (".pt" file) + and now skip the calculation. """ # pylint: disable=import-outside-toplevel @@ -170,9 +187,16 @@ def _load_c6( ij = i * (i - 1) // 2 + j - 1 if j < i else j * (j - 1) // 2 + i - 1 c6[i, j, :, :] = ref[ij, :, :].T if j < i else ref[ij, :, :] + # torch.save(c6, "reference-c6.pt") return c6 +def _load_c6( + dtype: torch.dtype = torch.double, device: Optional[torch.device] = None +) -> Tensor: + return _load_c6_pt(dtype=dtype, device=device) + + class Reference: """ Reference systems for the D3 dispersion model diff --git a/tests/test_model/test_load.py b/tests/test_model/test_load.py new file mode 100644 index 0000000..0a1bcfd --- /dev/null +++ b/tests/test_model/test_load.py @@ -0,0 +1,31 @@ +# This file is part of tad-dftd3. +# SPDX-Identifier: Apache-2.0 +# +# 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 +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Test loading C6 coefficients. +""" +import torch + +from tad_dftd3 import reference + + +def test_ref(): + c6_np = reference._load_c6_npy(dtype=torch.double) + c6_pt = reference._load_c6_pt(dtype=torch.double) + + assert c6_np.shape == c6_pt.shape + assert (c6_np == c6_pt).all() + + maxelem = 104 # 103 + dummy + assert c6_np.shape == torch.Size((maxelem, maxelem, 7, 7)) From 7ec5ba82ec2059c6feadb3646e38954f3b3fa45f Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Thu, 14 Dec 2023 15:39:37 +0000 Subject: [PATCH 2/8] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- src/tad_dftd3/reference.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/tad_dftd3/reference.py b/src/tad_dftd3/reference.py index 5c2d67a..298e922 100644 --- a/src/tad_dftd3/reference.py +++ b/src/tad_dftd3/reference.py @@ -20,6 +20,7 @@ C6 dispersion coefficients. """ import os.path as op + import torch from ._typing import Any, NoReturn, Optional, Tensor From 5256f0635521df2dbd0e915c6ed4155df567b353 Mon Sep 17 00:00:00 2001 From: marvinfriede <51965259+marvinfriede@users.noreply.github.com> Date: Thu, 14 Dec 2023 16:42:17 +0100 Subject: [PATCH 3/8] Add type annotation --- tests/test_model/test_load.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_model/test_load.py b/tests/test_model/test_load.py index 0a1bcfd..1998c4f 100644 --- a/tests/test_model/test_load.py +++ b/tests/test_model/test_load.py @@ -20,7 +20,7 @@ from tad_dftd3 import reference -def test_ref(): +def test_ref() -> None: c6_np = reference._load_c6_npy(dtype=torch.double) c6_pt = reference._load_c6_pt(dtype=torch.double) From aed32c5f7d93eb304b455c1a69af4491bc25f3d7 Mon Sep 17 00:00:00 2001 From: marvinfriede <51965259+marvinfriede@users.noreply.github.com> Date: Thu, 14 Dec 2023 22:08:47 +0100 Subject: [PATCH 4/8] Delete 'npy' file --- 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""" +MAX_ELEMENT = 104 +"""Atomic number (+1 for dummy) of last element supported by DFT-D3.""" + BOHR_TO_ANGSTROM = 0.529177210903 """Bohr radius in Angstroms.""" ANGSTROM_TO_BOHR = 1.0 / BOHR_TO_ANGSTROM """Conversion factor from Angstrom to Bohr.""" -PSE = { +PSE_S2Z = { "H": 1, "He": 2, "Li": 3, @@ -142,3 +145,7 @@ "Ts": 117, "Og": 118, } +"""PSE with mapping from symbol to atomic number.""" + +PSE_Z2S = {v: k for k, v in PSE_S2Z.items()} +"""PSE with mapping from atomic number to symbol.""" diff --git a/src/tad_dftd3/disp.py b/src/tad_dftd3/disp.py index 85925c6..86575d8 100644 --- a/src/tad_dftd3/disp.py +++ b/src/tad_dftd3/disp.py @@ -54,7 +54,7 @@ """ import torch -from . import data, defaults +from . import data, defaults, constants from ._typing import DD, Any, DampingFunction, Dict, Optional, Tensor from .damping import dispersion_atm, rational_damping from .utils import cdist, real_pairs @@ -103,6 +103,7 @@ def dispersion( cutoff = torch.tensor(defaults.D3_DISP_CUTOFF, **dd) if r4r2 is None: r4r2 = data.sqrt_z_r4_over_r2.to(**dd)[numbers] + if numbers.shape != positions.shape[:-1]: raise ValueError( "Shape of positions is not consistent with atomic numbers.", @@ -111,6 +112,11 @@ def dispersion( raise ValueError( "Shape of expectation values is not consistent with atomic numbers.", ) + if torch.max(numbers) >= constants.MAX_ELEMENT: + raise ValueError( + f"No D3 parameters available for Z > {constants.MAX_ELEMENT-1} " + f"({constants.PSE_Z2S[constants.MAX_ELEMENT]})." + ) # two-body dispersion energy = dispersion2( diff --git a/src/tad_dftd3/reference.py b/src/tad_dftd3/reference.py index 298e922..1874e82 100644 --- a/src/tad_dftd3/reference.py +++ b/src/tad_dftd3/reference.py @@ -30,6 +30,21 @@ def _load_cn( dtype: torch.dtype = torch.double, device: Optional[torch.device] = None ) -> Tensor: + """ + Load reference coordination numbers. + + Parameters + ---------- + dtype : torch.dtype, optional + Floating point precision for tensor. Defaults to `torch.double`. + device : Optional[torch.device], optional + Device of tensor. Defaults to None. + + Returns + ------- + Tensor + Reference coordination numbers. + """ return torch.tensor( [ [-1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000], # None @@ -142,60 +157,26 @@ def _load_cn( ) -def _load_c6_pt( +def _load_c6( dtype: torch.dtype = torch.double, device: Optional[torch.device] = None ) -> Tensor: """ - Load reference C6 coefficients from torch file. - """ - path = op.join(op.dirname(__file__), "reference-c6.pt") - ref = torch.load(path).type(dtype).to(device) - return ref - + Load reference C6 coefficients from file. -def _load_c6_npy( - dtype: torch.dtype = torch.double, device: Optional[torch.device] = None -) -> Tensor: - """ - Load reference C6 coefficients from file and fill them into a tensor. + Parameters + ---------- + dtype : torch.dtype, optional + Floating point precision for tensor. Defaults to `torch.double`. + device : Optional[torch.device], optional + Device of tensor. Defaults to None. - Warning + Returns ------- - The loops in this function are actually really slow and create a bottleneck - for the whole calculation. Since the output of this function is not - dependent on the system, we only use it to store the tensor (".pt" file) - and now skip the calculation. + Tensor + Reference C6 coefficients. """ - - # pylint: disable=import-outside-toplevel - import math - - import numpy as np - - path = op.join(op.dirname(__file__), "reference-c6.npy") - ref = torch.from_numpy(np.load(path)).type(dtype).to(device) - - n_element = (math.isqrt(8 * ref.shape[0] + 1) - 1) // 2 + 1 - n_reference = ref.shape[-1] - c6 = torch.zeros( - (n_element, n_element, n_reference, n_reference), - dtype=ref.dtype, - device=ref.device, - ) - - for i in range(1, n_element): - for j in range(1, n_element): - ij = i * (i - 1) // 2 + j - 1 if j < i else j * (j - 1) // 2 + i - 1 - c6[i, j, :, :] = ref[ij, :, :].T if j < i else ref[ij, :, :] - - # torch.save(c6, "reference-c6.pt") - return c6 - - -def _load_c6( - dtype: torch.dtype = torch.double, device: Optional[torch.device] = None -) -> Tensor: - return _load_c6_pt(dtype=dtype, device=device) + path = op.join(op.dirname(__file__), "reference-c6.pt") + return torch.load(path).type(dtype).to(device) class Reference: diff --git a/src/tad_dftd3/utils/misc.py b/src/tad_dftd3/utils/misc.py index 89e9c69..d97b6ed 100644 --- a/src/tad_dftd3/utils/misc.py +++ b/src/tad_dftd3/utils/misc.py @@ -22,7 +22,7 @@ import torch from .._typing import List, Optional, Size, Tensor, TensorOrTensors, Union -from ..constants import PSE +from ..constants import PSE_S2Z __all__ = [ "real_atoms", @@ -174,7 +174,7 @@ def to_number(symbols: List[str]) -> Tensor: Obtain atomic numbers from element symbols. """ return torch.flatten( - torch.tensor([PSE.get(symbol.capitalize(), 0) for symbol in symbols]) + torch.tensor([PSE_S2Z.get(symbol.capitalize(), 0) for symbol in symbols]) ) diff --git a/tests/test_dftd3.py b/tests/test_dftd3.py index 703aedf..382bd7a 100644 --- a/tests/test_dftd3.py +++ b/tests/test_dftd3.py @@ -25,6 +25,31 @@ from .samples import samples +def test_fail() -> None: + numbers = torch.tensor([1, 1]) + positions = torch.tensor([[0.0, 0.0, 0.0], [0.0, 0.0, 1.0]]) + + # TPSS0-D3BJ-ATM parameters + param = { + "s6": torch.tensor(1.0000), + "s8": torch.tensor(1.2576), + "s9": torch.tensor(1.0000), + "alp": torch.tensor(14.00), + "a1": torch.tensor(0.3768), + "a2": torch.tensor(4.5865), + } + + # r4r2 wrong shape + with pytest.raises(ValueError): + numbers = torch.tensor([1, 105]) + dftd3(numbers, positions, param) + + # wrong numbers + with pytest.raises(ValueError): + numbers = torch.tensor([1]) + dftd3(numbers, positions, param) + + @pytest.mark.parametrize("dtype", [torch.float32, torch.float64]) @pytest.mark.parametrize("name", ["LiH", "SiH4", "PbH4-BiH3"]) def test_single(dtype: torch.dtype, name: str) -> None: diff --git a/tests/test_model/test_load.py b/tests/test_model/test_load.py index 1998c4f..ae81b00 100644 --- a/tests/test_model/test_load.py +++ b/tests/test_model/test_load.py @@ -17,15 +17,11 @@ """ import torch -from tad_dftd3 import reference +from tad_dftd3 import reference, constants def test_ref() -> None: - c6_np = reference._load_c6_npy(dtype=torch.double) - c6_pt = reference._load_c6_pt(dtype=torch.double) - - assert c6_np.shape == c6_pt.shape - assert (c6_np == c6_pt).all() - - maxelem = 104 # 103 + dummy - assert c6_np.shape == torch.Size((maxelem, maxelem, 7, 7)) + c6 = reference._load_c6(dtype=torch.double) + assert c6.shape == torch.Size( + (constants.MAX_ELEMENT, constants.MAX_ELEMENT, 7, 7), + ) From 575312bfe659eaba01e2b74650f68554c5f30510 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Thu, 14 Dec 2023 21:46:13 +0000 Subject: [PATCH 6/8] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- src/tad_dftd3/__init__.py | 2 +- src/tad_dftd3/disp.py | 2 +- tests/test_model/test_load.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/src/tad_dftd3/__init__.py b/src/tad_dftd3/__init__.py index b22190c..54df97f 100644 --- a/src/tad_dftd3/__init__.py +++ b/src/tad_dftd3/__init__.py @@ -74,7 +74,7 @@ """ import torch -from . import damping, data, defaults, disp, model, ncoord, reference, constants +from . import constants, damping, data, defaults, disp, model, ncoord, reference from ._typing import ( DD, CountingFunction, diff --git a/src/tad_dftd3/disp.py b/src/tad_dftd3/disp.py index 86575d8..db2602d 100644 --- a/src/tad_dftd3/disp.py +++ b/src/tad_dftd3/disp.py @@ -54,7 +54,7 @@ """ import torch -from . import data, defaults, constants +from . import constants, data, defaults from ._typing import DD, Any, DampingFunction, Dict, Optional, Tensor from .damping import dispersion_atm, rational_damping from .utils import cdist, real_pairs diff --git a/tests/test_model/test_load.py b/tests/test_model/test_load.py index ae81b00..a5c499f 100644 --- a/tests/test_model/test_load.py +++ b/tests/test_model/test_load.py @@ -17,7 +17,7 @@ """ import torch -from tad_dftd3 import reference, constants +from tad_dftd3 import constants, reference def test_ref() -> None: From 56a43c2c1250079b8c878d2fb4806146340cf0b9 Mon Sep 17 00:00:00 2001 From: marvinfriede <51965259+marvinfriede@users.noreply.github.com> Date: Thu, 14 Dec 2023 23:05:51 +0100 Subject: [PATCH 7/8] Add test for coverage --- tests/test_dftd3.py | 2 +- tests/test_disp.py | 7 +++++-- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/tests/test_dftd3.py b/tests/test_dftd3.py index 382bd7a..83b6e16 100644 --- a/tests/test_dftd3.py +++ b/tests/test_dftd3.py @@ -39,7 +39,7 @@ def test_fail() -> None: "a2": torch.tensor(4.5865), } - # r4r2 wrong shape + # unsupported element with pytest.raises(ValueError): numbers = torch.tensor([1, 105]) dftd3(numbers, positions, param) diff --git a/tests/test_disp.py b/tests/test_disp.py index c930db1..c83c6ce 100644 --- a/tests/test_disp.py +++ b/tests/test_disp.py @@ -54,8 +54,11 @@ def test_fail() -> None: # wrong numbers with pytest.raises(ValueError): - numbers = torch.tensor([1]) - disp.dispersion(numbers, positions, param, c6) + disp.dispersion(torch.tensor([1]), positions, param, c6) + + # unsupported element + with pytest.raises(ValueError): + disp.dispersion(torch.tensor([1, 105]), positions, param, c6) @pytest.mark.parametrize("dtype", [torch.float, torch.double]) From d48be67e3d6ff9c073ec53d6dda7c7d3ab3be5d2 Mon Sep 17 00:00:00 2001 From: marvinfriede <51965259+marvinfriede@users.noreply.github.com> Date: Thu, 14 Dec 2023 23:06:40 +0100 Subject: [PATCH 8/8] Fix "Variable defined multiple times" --- tests/test_dftd3.py | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/tests/test_dftd3.py b/tests/test_dftd3.py index 83b6e16..13a37f6 100644 --- a/tests/test_dftd3.py +++ b/tests/test_dftd3.py @@ -26,7 +26,6 @@ def test_fail() -> None: - numbers = torch.tensor([1, 1]) positions = torch.tensor([[0.0, 0.0, 0.0], [0.0, 0.0, 1.0]]) # TPSS0-D3BJ-ATM parameters @@ -41,13 +40,11 @@ def test_fail() -> None: # unsupported element with pytest.raises(ValueError): - numbers = torch.tensor([1, 105]) - dftd3(numbers, positions, param) + dftd3(torch.tensor([1, 105]), positions, param) # wrong numbers with pytest.raises(ValueError): - numbers = torch.tensor([1]) - dftd3(numbers, positions, param) + dftd3(torch.tensor([1]), positions, param) @pytest.mark.parametrize("dtype", [torch.float32, torch.float64])