| # SPDX-FileCopyrightText: Copyright (c) 2025 Centre for Research and Technology Hellas | |
| # and University of Amsterdam. All rights reserved. | |
| # SPDX-License-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. | |
| import unittest | |
| import torch | |
| from spai.models import utils | |
| class TestUtils(unittest.TestCase): | |
| def test_exportable_std(self) -> None: | |
| sizes: list[tuple[int, ...]] = [ | |
| (5, 32, 1024), | |
| (1, 32, 1024), | |
| (5, 1, 1024), | |
| ] | |
| for s in sizes: | |
| x: torch.Tensor = torch.randn(s) | |
| pytorch_std: torch.Tensor = x.std(dim=-1) | |
| exportable_std: torch.Tensor = utils.exportable_std(x, dim=-1) | |
| self.assertTrue(torch.allclose(pytorch_std, exportable_std)) | |