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46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
# Copyright 2020 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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from transformers import is_torch_available
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from transformers.testing_utils import require_torch
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if is_torch_available():
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import torch
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from transformers.activations import _gelu_python, gelu_new, get_activation
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@require_torch
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class TestActivations(unittest.TestCase):
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def test_gelu_versions(self):
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x = torch.Tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100])
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torch_builtin = get_activation("gelu")
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self.assertTrue(torch.eq(_gelu_python(x), torch_builtin(x)).all().item())
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self.assertFalse(torch.eq(_gelu_python(x), gelu_new(x)).all().item())
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def test_get_activation(self):
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get_activation("swish")
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get_activation("silu")
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get_activation("relu")
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get_activation("tanh")
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get_activation("gelu_new")
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get_activation("gelu_fast")
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with self.assertRaises(KeyError):
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get_activation("bogus")
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with self.assertRaises(KeyError):
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get_activation(None)
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