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| # Copyright 2021 DeepMind Technologies Limited | |
| # | |
| # 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. | |
| """Convenience functions for reading data.""" | |
| import io | |
| import os | |
| from typing import List | |
| from alphafold.model import utils | |
| import haiku as hk | |
| import numpy as np | |
| # Internal import (7716). | |
| def casp_model_names(data_dir: str) -> List[str]: | |
| params = os.listdir(os.path.join(data_dir, 'params')) | |
| return [os.path.splitext(filename)[0] for filename in params] | |
| def get_model_haiku_params(model_name: str, data_dir: str) -> hk.Params: | |
| """Get the Haiku parameters from a model name.""" | |
| path = os.path.join(data_dir, 'params', f'params_{model_name}.npz') | |
| with open(path, 'rb') as f: | |
| params = np.load(io.BytesIO(f.read()), allow_pickle=False) | |
| return utils.flat_params_to_haiku(params) | |