From 5431694ec0ea2165e7571e44947cabfd795280aa Mon Sep 17 00:00:00 2001 From: Tetracarbonylnickel <segreto@theochem.uni-stuttgart.de> Date: Mon, 2 Oct 2023 15:21:35 +0200 Subject: [PATCH 01/14] ds stats now calculated with the converted inputs and labels --- apax/data/statistics.py | 34 +++++++++++----------- apax/train/eval.py | 12 ++------ apax/train/run.py | 36 +++++++++++++++--------- tests/unit_tests/data/test_statistics.py | 19 ++++++++++++- 4 files changed, 60 insertions(+), 41 deletions(-) diff --git a/apax/data/statistics.py b/apax/data/statistics.py index 2a6ffc82..d7f79cd5 100644 --- a/apax/data/statistics.py +++ b/apax/data/statistics.py @@ -21,13 +21,13 @@ class PerElementRegressionShift: dtypes = [float] @staticmethod - def compute(atoms_list, shift_options) -> np.ndarray: + def compute(inputs, labels, shift_options) -> np.ndarray: log.info("Computing per element energy regression.") lambd = shift_options["energy_regularisation"] - energies = [atoms.get_potential_energy() for atoms in atoms_list] - numbers = [atoms.numbers for atoms in atoms_list] - system_sizes = [num.shape[0] for num in numbers] + energies = labels["ragged"]["energy"] + numbers = inputs["ragged"]["numbers"] + system_sizes = inputs["fixed"]["n_atoms"] energies = np.array(energies) system_sizes = np.array(system_sizes) @@ -64,7 +64,7 @@ class IsolatedAtomEnergyShift: dtypes = [dict[int:float]] @staticmethod - def compute(atoms_list, shift_options): + def compute(inputs, labels, shift_options): n_species = 119 elemental_energies_shift = np.zeros(n_species) for k, v in shift_options.items(): @@ -79,11 +79,11 @@ class MeanEnergyRMSScale: dtypes = [] @staticmethod - def compute(atoms_list, scale_options): + def compute(inputs, labels, scale_options): # log.info("Computing per element energy regression.") - energies = [atoms.get_potential_energy() for atoms in atoms_list] - numbers = [atoms.numbers for atoms in atoms_list] - system_sizes = [num.shape[0] for num in numbers] + energies = labels["ragged"]["energy"] + numbers = inputs["ragged"]["numbers"] + system_sizes = inputs["fixed"]["n_atoms"] energies = np.array(energies) system_sizes = np.array(system_sizes) @@ -109,11 +109,11 @@ class PerElementForceRMSScale: dtypes = [] @staticmethod - def compute(atoms_list, scale_options): + def compute(inputs, labels, scale_options): n_species = 119 - forces = np.concatenate([atoms.get_forces() for atoms in atoms_list], axis=0) - numbers = np.concatenate([atoms.numbers for atoms in atoms_list], axis=0) + forces = np.concatenate(labels["ragged"]["forces"], axis=0) + numbers = np.concatenate(inputs["ragged"]["numbers"], axis=0) elements = np.unique(numbers) @@ -133,7 +133,7 @@ class GlobalCustomScale: dtypes = [float] @staticmethod - def compute(atoms_list, scale_options): + def compute(inputs, labels, scale_options): element_scale = scale_options["factor"] return element_scale @@ -144,7 +144,7 @@ class PerElementCustomScale: dtypes = [dict[int, float]] @staticmethod - def compute(atoms_list, scale_options): + def compute(inputs, labels, scale_options): n_species = 119 element_scale = np.ones(n_species) for k, v in scale_options["factors"].items(): @@ -163,7 +163,7 @@ def compute(atoms_list, scale_options): def compute_scale_shift_parameters( - train_atoms_list, shift_method, scale_method, shift_options, scale_options + inputs, labels, shift_method, scale_method, shift_options, scale_options ): shift_methods = {method.name: method for method in shift_method_list} scale_methods = {method.name: method for method in scale_method_list} @@ -182,8 +182,8 @@ def compute_scale_shift_parameters( shift_method = shift_methods[shift_method] scale_method = scale_methods[scale_method] - shift_parameters = shift_method.compute(train_atoms_list, shift_options) - scale_parameters = scale_method.compute(train_atoms_list, scale_options) + shift_parameters = shift_method.compute(inputs, labels, shift_options) + scale_parameters = scale_method.compute(inputs, labels, scale_options) ds_stats = DatasetStats(shift_parameters, scale_parameters) return ds_stats diff --git a/apax/train/eval.py b/apax/train/eval.py index 747f8f57..e33a18cb 100644 --- a/apax/train/eval.py +++ b/apax/train/eval.py @@ -8,7 +8,6 @@ from tqdm import trange from apax.config import parse_config -from apax.data.statistics import compute_scale_shift_parameters from apax.model import ModelBuilder from apax.train.checkpoints import load_params from apax.train.metrics import initialize_metrics @@ -124,16 +123,9 @@ def eval_model(config_path, n_test=-1, log_file="eval.log", log_level="error"): loss_fn = initialize_loss_fn(config.loss) Metrics = initialize_metrics(config.metrics) - test_raw_ds = load_test_data(config, model_version_path, eval_path, n_test) + raw_ds = load_test_data(config, model_version_path, eval_path, n_test) - test_ds = initialize_dataset(config, test_raw_ds) - ds_stats = compute_scale_shift_parameters( - test_raw_ds.atoms_list, - config.data.shift_method, - config.data.scale_method, - config.data.shift_options, - config.data.scale_options, - ) + test_ds, ds_stats = initialize_dataset(config, raw_ds) init_input = test_ds.init_input() init_box = np.array(init_input["box"][0]) diff --git a/apax/train/run.py b/apax/train/run.py index e93f50ab..8d66d92a 100644 --- a/apax/train/run.py +++ b/apax/train/run.py @@ -72,8 +72,12 @@ def load_data_files(data_config, model_version_path): return train_raw_ds, val_raw_ds -def initialize_dataset(config, raw_ds): +def initialize_dataset( + config, raw_ds, calc_stats: bool = True +): # have to be compatible with eval and only on ds # Note(Moritz): external labels are actually not read in anywhere + # Answer(Nico): external labels are read in the filde utils/data.py in + # the load_data() function. inputs, labels = create_dict_dataset( raw_ds.atoms_list, r_max=config.model.r_max, @@ -82,6 +86,7 @@ def initialize_dataset(config, raw_ds): pos_unit=config.data.pos_unit, energy_unit=config.data.energy_unit, ) + dataset = TFPipeline( inputs, labels, @@ -89,7 +94,20 @@ def initialize_dataset(config, raw_ds): config.data.batch_size, buffer_size=config.data.shuffle_buffer_size, ) - return dataset + + if calc_stats: + ds_stats = compute_scale_shift_parameters( + inputs, + labels, + config.data.shift_method, + config.data.scale_method, + config.data.shift_options, + config.data.scale_options, + ) + + return dataset, ds_stats + else: + return dataset def maximize_l2_cache(): @@ -200,17 +218,9 @@ def run(user_config, log_file="train.log", log_level="error"): loss_fn = initialize_loss_fn(config.loss) Metrics = initialize_metrics(config.metrics) - train_raw_ds, val_raw_ds = load_data_files(config.data, model_version_path) - train_ds = initialize_dataset(config, train_raw_ds) - val_ds = initialize_dataset(config, val_raw_ds) - - ds_stats = compute_scale_shift_parameters( - train_raw_ds.atoms_list, - config.data.shift_method, - config.data.scale_method, - config.data.shift_options, - config.data.scale_options, - ) + raw_ds = load_data_files(config.data, model_version_path) + train_ds, ds_stats = initialize_dataset(config, raw_ds) + val_ds = initialize_dataset(config, raw_ds, calc_stats=False) log.info("Initializing Model") init_input = train_ds.init_input() diff --git a/tests/unit_tests/data/test_statistics.py b/tests/unit_tests/data/test_statistics.py index a68c0d51..a8d1ae96 100644 --- a/tests/unit_tests/data/test_statistics.py +++ b/tests/unit_tests/data/test_statistics.py @@ -15,13 +15,30 @@ def test_energy_per_element(): atoms_list = [atoms1, atoms2, atoms3] energies = [] + n_atoms = [] for atoms in atoms_list: + n_atoms.append(len(atoms)) + print(len(atoms)) energy = np.sum(dummy_energies[atoms.numbers]) energies.append(energy) atoms.calc = SinglePointCalculator(atoms, energy=energy) + labels = { + "ragged": { + "energy": [atoms.get_potential_energy() for atoms in atoms_list], + } + } + inputs = { + "ragged": { + "numbers": [atoms.numbers for atoms in atoms_list], + }, + "fixed": { + "n_atoms": n_atoms, + }, + } + elemental_shift = PerElementRegressionShift.compute( - atoms_list, {"energy_regularisation": 0.0} + inputs, labels, {"energy_regularisation": 0.0} ) regression_energies = [] for atoms in atoms_list: From e78986852f50e16b6199e52f30958f2fd7618859 Mon Sep 17 00:00:00 2001 From: Tetracarbonylnickel <segreto@theochem.uni-stuttgart.de> Date: Mon, 2 Oct 2023 19:53:01 +0200 Subject: [PATCH 02/14] bug fix --- apax/train/run.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/apax/train/run.py b/apax/train/run.py index 8d66d92a..ee6f6802 100644 --- a/apax/train/run.py +++ b/apax/train/run.py @@ -218,9 +218,9 @@ def run(user_config, log_file="train.log", log_level="error"): loss_fn = initialize_loss_fn(config.loss) Metrics = initialize_metrics(config.metrics) - raw_ds = load_data_files(config.data, model_version_path) - train_ds, ds_stats = initialize_dataset(config, raw_ds) - val_ds = initialize_dataset(config, raw_ds, calc_stats=False) + train_raw_ds, val_raw_ds = load_data_files(config.data, model_version_path) + train_ds, ds_stats = initialize_dataset(config, train_raw_ds) + val_ds = initialize_dataset(config, val_raw_ds, calc_stats=False) log.info("Initializing Model") init_input = train_ds.init_input() From d868af44c4982ee53987fbc15571d9e794b18a42 Mon Sep 17 00:00:00 2001 From: Tetracarbonylnickel <segreto@theochem.uni-stuttgart.de> Date: Mon, 2 Oct 2023 19:57:42 +0200 Subject: [PATCH 03/14] linting --- apax/train/run.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/apax/train/run.py b/apax/train/run.py index ee6f6802..bb1974f2 100644 --- a/apax/train/run.py +++ b/apax/train/run.py @@ -72,9 +72,7 @@ def load_data_files(data_config, model_version_path): return train_raw_ds, val_raw_ds -def initialize_dataset( - config, raw_ds, calc_stats: bool = True -): # have to be compatible with eval and only on ds +def initialize_dataset(config, raw_ds, calc_stats: bool = True): # Note(Moritz): external labels are actually not read in anywhere # Answer(Nico): external labels are read in the filde utils/data.py in # the load_data() function. From 128e5a11fcc20886641b40062cc9422b9cac39ae Mon Sep 17 00:00:00 2001 From: Nico Segreto <segreto@theochem.uni-stuttgart.de> Date: Tue, 3 Oct 2023 17:42:57 +0200 Subject: [PATCH 04/14] Update statistics.py bug fix --- apax/data/statistics.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/apax/data/statistics.py b/apax/data/statistics.py index d7f79cd5..b30df26e 100644 --- a/apax/data/statistics.py +++ b/apax/data/statistics.py @@ -25,7 +25,7 @@ def compute(inputs, labels, shift_options) -> np.ndarray: log.info("Computing per element energy regression.") lambd = shift_options["energy_regularisation"] - energies = labels["ragged"]["energy"] + energies = labels["fixed"]["energy"] numbers = inputs["ragged"]["numbers"] system_sizes = inputs["fixed"]["n_atoms"] @@ -81,7 +81,7 @@ class MeanEnergyRMSScale: @staticmethod def compute(inputs, labels, scale_options): # log.info("Computing per element energy regression.") - energies = labels["ragged"]["energy"] + energies = labels["fixed"]["energy"] numbers = inputs["ragged"]["numbers"] system_sizes = inputs["fixed"]["n_atoms"] From 611b3f137d7fffdb2df3822d4775e408f0cbf6fb Mon Sep 17 00:00:00 2001 From: Tetracarbonylnickel <segreto@theochem.uni-stuttgart.de> Date: Tue, 3 Oct 2023 18:19:06 +0200 Subject: [PATCH 05/14] ds bug fix --- apax/train/run.py | 17 +++++++++-------- apax/utils/convert.py | 1 - tests/unit_tests/data/test_statistics.py | 2 +- 3 files changed, 10 insertions(+), 10 deletions(-) diff --git a/apax/train/run.py b/apax/train/run.py index bb1974f2..4d1ea9ad 100644 --- a/apax/train/run.py +++ b/apax/train/run.py @@ -85,14 +85,6 @@ def initialize_dataset(config, raw_ds, calc_stats: bool = True): energy_unit=config.data.energy_unit, ) - dataset = TFPipeline( - inputs, - labels, - config.n_epochs, - config.data.batch_size, - buffer_size=config.data.shuffle_buffer_size, - ) - if calc_stats: ds_stats = compute_scale_shift_parameters( inputs, @@ -103,6 +95,15 @@ def initialize_dataset(config, raw_ds, calc_stats: bool = True): config.data.scale_options, ) + dataset = TFPipeline( + inputs, + labels, + config.n_epochs, + config.data.batch_size, + buffer_size=config.data.shuffle_buffer_size, + ) + + if calc_stats: return dataset, ds_stats else: return dataset diff --git a/apax/utils/convert.py b/apax/utils/convert.py index 046e7689..3c3bd6a3 100644 --- a/apax/utils/convert.py +++ b/apax/utils/convert.py @@ -109,7 +109,6 @@ def atoms_to_arrays( inputs["ragged"]["numbers"].append(atoms.numbers) inputs["fixed"]["n_atoms"].append(len(atoms)) - for key, val in atoms.calc.results.items(): if key == "forces": labels["ragged"][key].append( diff --git a/tests/unit_tests/data/test_statistics.py b/tests/unit_tests/data/test_statistics.py index a8d1ae96..de69b4ec 100644 --- a/tests/unit_tests/data/test_statistics.py +++ b/tests/unit_tests/data/test_statistics.py @@ -24,7 +24,7 @@ def test_energy_per_element(): atoms.calc = SinglePointCalculator(atoms, energy=energy) labels = { - "ragged": { + "fixed": { "energy": [atoms.get_potential_energy() for atoms in atoms_list], } } From 874ffe222ba37d03ee3286346e98b71247b757b3 Mon Sep 17 00:00:00 2001 From: Tetracarbonylnickel <segreto@theochem.uni-stuttgart.de> Date: Tue, 3 Oct 2023 18:20:54 +0200 Subject: [PATCH 06/14] implemented pytest.mark.slow --- .github/workflows/pytest.yaml | 2 +- pytest.ini | 3 +++ tests/regression_tests/__init__.py | 0 3 files changed, 4 insertions(+), 1 deletion(-) create mode 100644 pytest.ini create mode 100644 tests/regression_tests/__init__.py diff --git a/.github/workflows/pytest.yaml b/.github/workflows/pytest.yaml index 3111eee9..bc45eb79 100644 --- a/.github/workflows/pytest.yaml +++ b/.github/workflows/pytest.yaml @@ -28,7 +28,7 @@ jobs: - name: Unit Tests run: | - poetry run coverage run -m pytest tests + poetry run coverage run -m pytest -k "not slow" poetry run coverage report - name: Coverage Report diff --git a/pytest.ini b/pytest.ini new file mode 100644 index 00000000..2077a3dd --- /dev/null +++ b/pytest.ini @@ -0,0 +1,3 @@ +[pytest] +markers = + slow: mark a test as slow and should only run explicitly \ No newline at end of file diff --git a/tests/regression_tests/__init__.py b/tests/regression_tests/__init__.py new file mode 100644 index 00000000..e69de29b From 4149a5ea72922bcf27afc31971ced4598e42ed5c Mon Sep 17 00:00:00 2001 From: Tetracarbonylnickel <segreto@theochem.uni-stuttgart.de> Date: Tue, 3 Oct 2023 18:22:24 +0200 Subject: [PATCH 07/14] first part of regression test --- tests/regression_tests/apax_config.yaml | 89 ++++++++++++++++++++ tests/regression_tests/test_apax_training.py | 50 +++++++++++ 2 files changed, 139 insertions(+) create mode 100644 tests/regression_tests/apax_config.yaml create mode 100644 tests/regression_tests/test_apax_training.py diff --git a/tests/regression_tests/apax_config.yaml b/tests/regression_tests/apax_config.yaml new file mode 100644 index 00000000..3ed1f789 --- /dev/null +++ b/tests/regression_tests/apax_config.yaml @@ -0,0 +1,89 @@ +n_epochs: 1000 +seed: 0 + +data: + directory: models/ + experiment: apax + + data_path: <PATH> + + n_train: 1000 + n_valid: 100 + + batch_size: 8 + valid_batch_size: 100 + + shift_method: "per_element_regression_shift" + shift_options: {"energy_regularisation": 1.0} + shuffle_buffer_size: 1000 + + pos_unit: Ang + energy_unit: eV + +model: + n_basis: 7 + n_radial: 5 + nn: [512, 512] + + r_max: 6.5 + r_min: 0.5 + + calc_stress: false + use_zbl: true + + b_init: normal + descriptor_dtype: fp32 + readout_dtype: fp32 + scale_shift_dtype: fp32 + +metrics: + - name: energy + reductions: + - mae + - name: forces + reductions: + - mae + - mse + # - name: stress + # reductions: + # - mae + # - mse + +loss: + - loss_type: structures + name: energy + weight: 1.0 + - loss_type: structures + name: forces + weight: 8.0 + - loss_type: cosine_sim + name: forces + weight: 0.1 + # - loss_type: structures + # name: stress + # weight: 1.0 + +optimizer: + opt_name: adam + opt_kwargs: {} + emb_lr: 0.003 + nn_lr: 0.002 + scale_lr: 0.0005 + shift_lr: 0.025 + zbl_lr: 0.001 + transition_begin: 0 + +callbacks: +- name: csv + +checkpoints: + ckpt_interval: 1 + # The options below are used for transfer learning + # base_model_checkpoint: null + # reset_layers: [] + +progress_bar: + disable_epoch_pbar: false + disable_nl_pbar: false + +maximize_l2_cache: false diff --git a/tests/regression_tests/test_apax_training.py b/tests/regression_tests/test_apax_training.py new file mode 100644 index 00000000..e1bde72c --- /dev/null +++ b/tests/regression_tests/test_apax_training.py @@ -0,0 +1,50 @@ +import pytest +import pathlib +import yaml +from apax.train.run import run +import urllib +import zipfile +import os + +TEST_PATH = pathlib.Path(__file__).parent.resolve() +MD22_STACHYOSE_URL = "http://www.quantum-machine.org/gdml/repo/static/md22_stachyose.zip" + +@pytest.mark.slow +def test_regression_model_training(get_tmp_path): + temp_path = get_tmp_path + + #load dataset and safe it in temp_dir + data_path = temp_path / "data" + os.makedirs(data_path, exist_ok=True) + urllib.request.urlretrieve(MD22_STACHYOSE_URL, data_path / "md22_stachyose.zip") + + with zipfile.ZipFile(data_path / "md22_stachyose.zip", "r") as zip_ref: + zip_ref.extractall(data_path) + + input_file_path = (data_path / "md22_stachyose.xyz").as_posix() + output_file_path = (data_path / "md22_stachyose_mod.xyz").as_posix() + target_string = 'Energy' + replacement_string = 'energy' + + replace_string_in_file(input_file_path, output_file_path, target_string, replacement_string) + + #read and adjust config + confg_path = TEST_PATH / "apax_config.yaml" + with open(confg_path.as_posix(), "r") as stream: + config_dict = yaml.safe_load(stream) + + config_dict["data"]["directory"] = temp_path.as_posix() + config_dict["data"]["data_path"] = output_file_path + config_dict["data"]["energy_unit"] = "kcal/mol" + + run(config_dict) + + + assert False + +def replace_string_in_file(input_file_path, output_file_path, target_string, replacement_string): + with open(input_file_path, 'r') as input_file, open(output_file_path, 'w') as output_file: + for line in input_file: + # Replace all occurrences of the target string with the replacement string + modified_line = line.replace(target_string, replacement_string) + output_file.write(modified_line) \ No newline at end of file From 39c34dcfe848bf9baf7c1e0a66811a426d438019 Mon Sep 17 00:00:00 2001 From: Tetracarbonylnickel <segreto@theochem.uni-stuttgart.de> Date: Tue, 3 Oct 2023 18:25:55 +0200 Subject: [PATCH 08/14] tf.tensor conversion after calc of ds_stats --- apax/train/run.py | 17 +++++++++-------- tests/unit_tests/data/test_statistics.py | 2 +- 2 files changed, 10 insertions(+), 9 deletions(-) diff --git a/apax/train/run.py b/apax/train/run.py index bb1974f2..4d1ea9ad 100644 --- a/apax/train/run.py +++ b/apax/train/run.py @@ -85,14 +85,6 @@ def initialize_dataset(config, raw_ds, calc_stats: bool = True): energy_unit=config.data.energy_unit, ) - dataset = TFPipeline( - inputs, - labels, - config.n_epochs, - config.data.batch_size, - buffer_size=config.data.shuffle_buffer_size, - ) - if calc_stats: ds_stats = compute_scale_shift_parameters( inputs, @@ -103,6 +95,15 @@ def initialize_dataset(config, raw_ds, calc_stats: bool = True): config.data.scale_options, ) + dataset = TFPipeline( + inputs, + labels, + config.n_epochs, + config.data.batch_size, + buffer_size=config.data.shuffle_buffer_size, + ) + + if calc_stats: return dataset, ds_stats else: return dataset diff --git a/tests/unit_tests/data/test_statistics.py b/tests/unit_tests/data/test_statistics.py index a8d1ae96..de69b4ec 100644 --- a/tests/unit_tests/data/test_statistics.py +++ b/tests/unit_tests/data/test_statistics.py @@ -24,7 +24,7 @@ def test_energy_per_element(): atoms.calc = SinglePointCalculator(atoms, energy=energy) labels = { - "ragged": { + "fixed": { "energy": [atoms.get_potential_energy() for atoms in atoms_list], } } From b01a277eb4e1202ddf535d31aa7abedcd83edeff Mon Sep 17 00:00:00 2001 From: Tetracarbonylnickel <segreto@theochem.uni-stuttgart.de> Date: Tue, 3 Oct 2023 21:15:16 +0200 Subject: [PATCH 09/14] first model regression test --- poetry.lock | 3883 +++++++++--------- pyproject.toml | 1 + tests/regression_tests/apax_config.yaml | 2 +- tests/regression_tests/test_apax_training.py | 95 +- 4 files changed, 1962 insertions(+), 2019 deletions(-) diff --git a/poetry.lock b/poetry.lock index 4e3c6ea2..9c0ea65b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,34 +1,48 @@ +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. + [[package]] name = "absl-py" version = "1.4.0" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." -category = "main" optional = false python-versions = ">=3.6" +files = [ + {file = "absl-py-1.4.0.tar.gz", hash = "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"}, + {file = 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3ed1f789..436dd94b 100644 --- a/tests/regression_tests/apax_config.yaml +++ b/tests/regression_tests/apax_config.yaml @@ -3,7 +3,7 @@ seed: 0 data: directory: models/ - experiment: apax + experiment: test data_path: <PATH> diff --git a/tests/regression_tests/test_apax_training.py b/tests/regression_tests/test_apax_training.py index e1bde72c..801a32fc 100644 --- a/tests/regression_tests/test_apax_training.py +++ b/tests/regression_tests/test_apax_training.py @@ -1,50 +1,83 @@ -import pytest +import os import pathlib -import yaml -from apax.train.run import run import urllib import zipfile -import os + +import numpy as np +import pandas as pd +import pytest +import yaml + +from apax.train.run import run TEST_PATH = pathlib.Path(__file__).parent.resolve() MD22_STACHYOSE_URL = "http://www.quantum-machine.org/gdml/repo/static/md22_stachyose.zip" -@pytest.mark.slow -def test_regression_model_training(get_tmp_path): - temp_path = get_tmp_path - #load dataset and safe it in temp_dir - data_path = temp_path / "data" +def download_and_extract_data(data_path, filename, url, file_format): + file_path = data_path / filename + os.makedirs(data_path, exist_ok=True) - urllib.request.urlretrieve(MD22_STACHYOSE_URL, data_path / "md22_stachyose.zip") + urllib.request.urlretrieve(url, file_path) - with zipfile.ZipFile(data_path / "md22_stachyose.zip", "r") as zip_ref: + with zipfile.ZipFile(file_path, "r") as zip_ref: zip_ref.extractall(data_path) - input_file_path = (data_path / "md22_stachyose.xyz").as_posix() - output_file_path = (data_path / "md22_stachyose_mod.xyz").as_posix() - target_string = 'Energy' - replacement_string = 'energy' - - replace_string_in_file(input_file_path, output_file_path, target_string, replacement_string) + return file_path.with_suffix(f".{file_format}") + + +def modify_xyz_file(file_path, target_string, replacement_string): + new_file_path = file_path.with_name(file_path.stem + "_mod" + file_path.suffix) + + with open(file_path, "r") as input_file, open(new_file_path, "w") as output_file: + for line in input_file: + # Replace all occurrences of the target string with the replacement string + modified_line = line.replace(target_string, replacement_string) + output_file.write(modified_line) + return new_file_path + - #read and adjust config - confg_path = TEST_PATH / "apax_config.yaml" - with open(confg_path.as_posix(), "r") as stream: +def load_config_and_run_training( + config_path, file_path, working_dir, energy_unit="eV", pos_unit="Ang" +): + with open(config_path.as_posix(), "r") as stream: config_dict = yaml.safe_load(stream) - config_dict["data"]["directory"] = temp_path.as_posix() - config_dict["data"]["data_path"] = output_file_path - config_dict["data"]["energy_unit"] = "kcal/mol" + config_dict["data"]["directory"] = working_dir.as_posix() + config_dict["data"]["data_path"] = file_path.as_posix() + config_dict["data"]["energy_unit"] = energy_unit + config_dict["data"]["pos_unit"] = pos_unit run(config_dict) - - assert False + return -def replace_string_in_file(input_file_path, output_file_path, target_string, replacement_string): - with open(input_file_path, 'r') as input_file, open(output_file_path, 'w') as output_file: - for line in input_file: - # Replace all occurrences of the target string with the replacement string - modified_line = line.replace(target_string, replacement_string) - output_file.write(modified_line) \ No newline at end of file + +@pytest.mark.slow +def test_regression_model_training(get_tmp_path): + config_path = TEST_PATH / "apax_config.yaml" + working_dir = get_tmp_path + data_path = working_dir / "data" + filename = "md22_stachyose.zip" + + file_path = download_and_extract_data(data_path, filename, MD22_STACHYOSE_URL, "xyz") + + file_path = modify_xyz_file( + file_path, target_string="Energy", replacement_string="energy" + ) + + load_config_and_run_training(config_path, file_path, working_dir, "kcal/mol") + + current_metrics = pd.read_csv(working_dir / "test/log.csv") + + comparison_metrics = { + "val_energy_mae": 0.2048215700433502, + "val_forces_mae": 0.054957914591049, + "val_forces_mse": 0.0056583952479869, + "val_loss": 0.1395589689994847, + } + + for key in comparison_metrics.keys(): + assert ( + abs((np.array(current_metrics[key])[-1] / comparison_metrics[key]) - 1) < 1e-4 + ) From dbaa12bbc174e36e32a058946b8f2e6a7c3a38ba Mon Sep 17 00:00:00 2001 From: Tetracarbonylnickel <segreto@theochem.uni-stuttgart.de> Date: Thu, 5 Oct 2023 20:35:29 +0200 Subject: [PATCH 10/14] removed note --- apax/train/run.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/apax/train/run.py b/apax/train/run.py index 4d1ea9ad..c182dbde 100644 --- a/apax/train/run.py +++ b/apax/train/run.py @@ -73,9 +73,6 @@ def load_data_files(data_config, model_version_path): def initialize_dataset(config, raw_ds, calc_stats: bool = True): - # Note(Moritz): external labels are actually not read in anywhere - # Answer(Nico): external labels are read in the filde utils/data.py in - # the load_data() function. inputs, labels = create_dict_dataset( raw_ds.atoms_list, r_max=config.model.r_max, From db70e3a53901cab23c964b9c2ef43fb60e458ebf Mon Sep 17 00:00:00 2001 From: Tetracarbonylnickel <segreto@theochem.uni-stuttgart.de> Date: Thu, 5 Oct 2023 20:43:40 +0200 Subject: [PATCH 11/14] using coonvert function in statistics test --- tests/unit_tests/data/test_statistics.py | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/tests/unit_tests/data/test_statistics.py b/tests/unit_tests/data/test_statistics.py index de69b4ec..6b3d4243 100644 --- a/tests/unit_tests/data/test_statistics.py +++ b/tests/unit_tests/data/test_statistics.py @@ -3,6 +3,7 @@ from ase.calculators.singlepoint import SinglePointCalculator from apax.data.statistics import PerElementRegressionShift +from apax.data.input_pipeline import create_dict_dataset def test_energy_per_element(): @@ -23,19 +24,10 @@ def test_energy_per_element(): energies.append(energy) atoms.calc = SinglePointCalculator(atoms, energy=energy) - labels = { - "fixed": { - "energy": [atoms.get_potential_energy() for atoms in atoms_list], - } - } - inputs = { - "ragged": { - "numbers": [atoms.numbers for atoms in atoms_list], - }, - "fixed": { - "n_atoms": n_atoms, - }, - } + inputs, labels = create_dict_dataset( + atoms_list, + r_max=6.5, + ) elemental_shift = PerElementRegressionShift.compute( inputs, labels, {"energy_regularisation": 0.0} From 5519d7cf946b4761a96cfff7651d20e0a688a2a8 Mon Sep 17 00:00:00 2001 From: Tetracarbonylnickel <segreto@theochem.uni-stuttgart.de> Date: Thu, 5 Oct 2023 20:47:25 +0200 Subject: [PATCH 12/14] got rid of pandas dep --- poetry.lock | 3613 +++++++++++++++++++++++++----------------------- pyproject.toml | 1 - 2 files changed, 1852 insertions(+), 1762 deletions(-) diff --git a/poetry.lock b/poetry.lock index 9c0ea65b..1b79baa4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,48 +1,34 @@ -# This file is 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+import os +import urllib +import zipfile import numpy as np import pytest from ase import Atoms @@ -74,3 +76,33 @@ def example_atoms(num_data: int, pbc: bool, calc_results: List[str]) -> Atoms: def get_tmp_path(tmp_path_factory): test_path = tmp_path_factory.mktemp("apax_tests") return test_path + + +@pytest.fixture(scope="session") +def get_md22_stachyose(get_tmp_path): + url = "http://www.quantum-machine.org/gdml/repo/static/md22_stachyose.zip" + data_path = get_tmp_path / "data" + file_path = data_path / "md22_stachyose.zip" + + os.makedirs(data_path, exist_ok=True) + urllib.request.urlretrieve(url, file_path) + + with zipfile.ZipFile(file_path, "r") as zip_ref: + zip_ref.extractall(data_path) + + file_path = modify_xyz_file( + file_path.with_suffix(".xyz"), target_string="Energy", replacement_string="energy" + ) + + return file_path + + +def modify_xyz_file(file_path, target_string, replacement_string): + new_file_path = file_path.with_name(file_path.stem + "_mod" + file_path.suffix) + + with open(file_path, "r") as input_file, open(new_file_path, "w") as output_file: + for line in input_file: + # Replace all occurrences of the target string with the replacement string + modified_line = line.replace(target_string, replacement_string) + output_file.write(modified_line) + return new_file_path \ No newline at end of file diff --git a/tests/regression_tests/apax_config.yaml b/tests/regression_tests/apax_config.yaml index 436dd94b..0a098ff6 100644 --- a/tests/regression_tests/apax_config.yaml +++ b/tests/regression_tests/apax_config.yaml @@ -1,4 +1,4 @@ -n_epochs: 1000 +n_epochs: 200 seed: 0 data: @@ -10,7 +10,7 @@ data: n_train: 1000 n_valid: 100 - batch_size: 8 + batch_size: 32 valid_batch_size: 100 shift_method: "per_element_regression_shift" @@ -66,10 +66,10 @@ loss: optimizer: opt_name: adam opt_kwargs: {} - emb_lr: 0.003 - nn_lr: 0.002 - scale_lr: 0.0005 - shift_lr: 0.025 + emb_lr: 0.02 + nn_lr: 0.03 + scale_lr: 0.001 + shift_lr: 0.05 zbl_lr: 0.001 transition_begin: 0 @@ -83,7 +83,7 @@ checkpoints: # reset_layers: [] progress_bar: - disable_epoch_pbar: false - disable_nl_pbar: false + disable_epoch_pbar: true + disable_nl_pbar: true maximize_l2_cache: false diff --git a/tests/regression_tests/test_apax_training.py b/tests/regression_tests/test_apax_training.py index 801a32fc..7091b600 100644 --- a/tests/regression_tests/test_apax_training.py +++ b/tests/regression_tests/test_apax_training.py @@ -2,6 +2,7 @@ import pathlib import urllib import zipfile +import uuid import numpy as np import pandas as pd @@ -9,75 +10,60 @@ import yaml from apax.train.run import run +from apax.data.statistics import scale_method_list, shift_method_list TEST_PATH = pathlib.Path(__file__).parent.resolve() -MD22_STACHYOSE_URL = "http://www.quantum-machine.org/gdml/repo/static/md22_stachyose.zip" - - -def download_and_extract_data(data_path, filename, url, file_format): - file_path = data_path / filename - - os.makedirs(data_path, exist_ok=True) - urllib.request.urlretrieve(url, file_path) - - with zipfile.ZipFile(file_path, "r") as zip_ref: - zip_ref.extractall(data_path) - - return file_path.with_suffix(f".{file_format}") - - -def modify_xyz_file(file_path, target_string, replacement_string): - new_file_path = file_path.with_name(file_path.stem + "_mod" + file_path.suffix) - - with open(file_path, "r") as input_file, open(new_file_path, "w") as output_file: - for line in input_file: - # Replace all occurrences of the target string with the replacement string - modified_line = line.replace(target_string, replacement_string) - output_file.write(modified_line) - return new_file_path - def load_config_and_run_training( - config_path, file_path, working_dir, energy_unit="eV", pos_unit="Ang" + config_path, **config_kwargs ): with open(config_path.as_posix(), "r") as stream: config_dict = yaml.safe_load(stream) - config_dict["data"]["directory"] = working_dir.as_posix() - config_dict["data"]["data_path"] = file_path.as_posix() - config_dict["data"]["energy_unit"] = energy_unit - config_dict["data"]["pos_unit"] = pos_unit + for pydentic_model_key, config_mods in config_kwargs.items(): + for h_param_key, value in config_mods.items(): + config_dict[pydentic_model_key][h_param_key] = value run(config_dict) + + +def load_csv(filename): + data = np.loadtxt(filename, delimiter=',', skiprows=1) # Skip the header row + + with open(filename, 'r') as file: + header = file.readline().strip().split(',') - return + data_dict = {header[i]: data[:, i].tolist() for i in range(len(header))} + return data_dict + @pytest.mark.slow -def test_regression_model_training(get_tmp_path): +def test_regression_model_training(get_md22_stachyose, get_tmp_path): config_path = TEST_PATH / "apax_config.yaml" - working_dir = get_tmp_path - data_path = working_dir / "data" - filename = "md22_stachyose.zip" + working_dir = get_tmp_path / str(uuid.uuid4()) + file_path = get_md22_stachyose - file_path = download_and_extract_data(data_path, filename, MD22_STACHYOSE_URL, "xyz") - - file_path = modify_xyz_file( - file_path, target_string="Energy", replacement_string="energy" - ) + data_config_mods = { + "directory": working_dir.as_posix(), + "data_path": file_path.as_posix(), + "energy_unit": "kcal/mol", + } - load_config_and_run_training(config_path, file_path, working_dir, "kcal/mol") + load_config_and_run_training(config_path, data=data_config_mods) - current_metrics = pd.read_csv(working_dir / "test/log.csv") + current_metrics = load_csv(working_dir / "test/log.csv") comparison_metrics = { - "val_energy_mae": 0.2048215700433502, - "val_forces_mae": 0.054957914591049, - "val_forces_mse": 0.0056583952479869, - "val_loss": 0.1395589689994847, + "val_energy_mae": 0.24696787788040334, + "val_forces_mae": 0.09672525137916232, + "val_forces_mse": 0.017160819058234304, + "val_loss": 0.45499257304743396, } + for key in comparison_metrics.keys(): + print(np.array(current_metrics[key])[-1]) for key in comparison_metrics.keys(): assert ( - abs((np.array(current_metrics[key])[-1] / comparison_metrics[key]) - 1) < 1e-4 - ) + abs((np.array(current_metrics[key])[-1] / comparison_metrics[key]) - 1) < 1e-3 + ) \ No newline at end of file From ee0b36eb3cfeed2e7feb63eacb63433b09608411 Mon Sep 17 00:00:00 2001 From: Tetracarbonylnickel <segreto@theochem.uni-stuttgart.de> Date: Thu, 5 Oct 2023 21:06:02 +0200 Subject: [PATCH 14/14] linting --- tests/conftest.py | 17 +++++++------- tests/regression_tests/test_apax_training.py | 24 +++++++------------- tests/unit_tests/data/test_statistics.py | 2 +- 3 files changed, 18 insertions(+), 25 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index 4356acd7..0d5a08bc 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,7 +1,8 @@ -from typing import List import os import urllib import zipfile +from typing import List + import numpy as np import pytest from ase import Atoms @@ -89,14 +90,14 @@ def get_md22_stachyose(get_tmp_path): with zipfile.ZipFile(file_path, "r") as zip_ref: zip_ref.extractall(data_path) - + file_path = modify_xyz_file( - file_path.with_suffix(".xyz"), target_string="Energy", replacement_string="energy" - ) - + file_path.with_suffix(".xyz"), target_string="Energy", replacement_string="energy" + ) + return file_path - - + + def modify_xyz_file(file_path, target_string, replacement_string): new_file_path = file_path.with_name(file_path.stem + "_mod" + file_path.suffix) @@ -105,4 +106,4 @@ def modify_xyz_file(file_path, target_string, replacement_string): # Replace all occurrences of the target string with the replacement string modified_line = line.replace(target_string, replacement_string) output_file.write(modified_line) - return new_file_path \ No newline at end of file + return new_file_path diff --git a/tests/regression_tests/test_apax_training.py b/tests/regression_tests/test_apax_training.py index 7091b600..339cb28a 100644 --- a/tests/regression_tests/test_apax_training.py +++ b/tests/regression_tests/test_apax_training.py @@ -1,22 +1,16 @@ -import os import pathlib -import urllib -import zipfile import uuid import numpy as np -import pandas as pd import pytest import yaml from apax.train.run import run -from apax.data.statistics import scale_method_list, shift_method_list TEST_PATH = pathlib.Path(__file__).parent.resolve() -def load_config_and_run_training( - config_path, **config_kwargs -): + +def load_config_and_run_training(config_path, **config_kwargs): with open(config_path.as_posix(), "r") as stream: config_dict = yaml.safe_load(stream) @@ -25,19 +19,19 @@ def load_config_and_run_training( config_dict[pydentic_model_key][h_param_key] = value run(config_dict) - + def load_csv(filename): - data = np.loadtxt(filename, delimiter=',', skiprows=1) # Skip the header row + data = np.loadtxt(filename, delimiter=",", skiprows=1) # Skip the header row - with open(filename, 'r') as file: - header = file.readline().strip().split(',') + with open(filename, "r") as file: + header = file.readline().strip().split(",") data_dict = {header[i]: data[:, i].tolist() for i in range(len(header))} return data_dict - + @pytest.mark.slow def test_regression_model_training(get_md22_stachyose, get_tmp_path): config_path = TEST_PATH / "apax_config.yaml" @@ -60,10 +54,8 @@ def test_regression_model_training(get_md22_stachyose, get_tmp_path): "val_forces_mse": 0.017160819058234304, "val_loss": 0.45499257304743396, } - for key in comparison_metrics.keys(): - print(np.array(current_metrics[key])[-1]) for key in comparison_metrics.keys(): assert ( abs((np.array(current_metrics[key])[-1] / comparison_metrics[key]) - 1) < 1e-3 - ) \ No newline at end of file + ) diff --git a/tests/unit_tests/data/test_statistics.py b/tests/unit_tests/data/test_statistics.py index 6b3d4243..e2e698ee 100644 --- a/tests/unit_tests/data/test_statistics.py +++ b/tests/unit_tests/data/test_statistics.py @@ -2,8 +2,8 @@ from ase import Atoms from ase.calculators.singlepoint import SinglePointCalculator -from apax.data.statistics import PerElementRegressionShift from apax.data.input_pipeline import create_dict_dataset +from apax.data.statistics import PerElementRegressionShift def test_energy_per_element():