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| # Copyright 2020 The HuggingFace Team. All rights reserved. | |
| # | |
| # 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 | |
| from transformers import is_torch_available | |
| from transformers.testing_utils import require_torch | |
| if is_torch_available(): | |
| import torch | |
| from transformers.activations import gelu_new, gelu_python, get_activation | |
| class TestActivations(unittest.TestCase): | |
| def test_gelu_versions(self): | |
| x = torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]) | |
| torch_builtin = get_activation("gelu") | |
| self.assertTrue(torch.allclose(gelu_python(x), torch_builtin(x))) | |
| self.assertFalse(torch.allclose(gelu_python(x), gelu_new(x))) | |
| def test_gelu_10(self): | |
| x = torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]) | |
| torch_builtin = get_activation("gelu") | |
| gelu10 = get_activation("gelu_10") | |
| y_gelu = torch_builtin(x) | |
| y_gelu_10 = gelu10(x) | |
| clipped_mask = torch.where(y_gelu_10 < 10.0, 1, 0) | |
| self.assertTrue(torch.max(y_gelu_10).item() == 10.0) | |
| self.assertTrue(torch.allclose(y_gelu * clipped_mask, y_gelu_10 * clipped_mask)) | |
| def test_get_activation(self): | |
| get_activation("gelu") | |
| get_activation("gelu_10") | |
| get_activation("gelu_fast") | |
| get_activation("gelu_new") | |
| get_activation("gelu_python") | |
| get_activation("gelu_pytorch_tanh") | |
| get_activation("linear") | |
| get_activation("mish") | |
| get_activation("quick_gelu") | |
| get_activation("relu") | |
| get_activation("sigmoid") | |
| get_activation("silu") | |
| get_activation("swish") | |
| get_activation("tanh") | |
| with self.assertRaises(KeyError): | |
| get_activation("bogus") | |
| with self.assertRaises(KeyError): | |
| get_activation(None) | |
| def test_activations_are_distinct_objects(self): | |
| act1 = get_activation("gelu") | |
| act1.a = 1 | |
| act2 = get_activation("gelu") | |
| self.assertEqual(act1.a, 1) | |
| with self.assertRaises(AttributeError): | |
| _ = act2.a | |