get_activation('relu') provides a simple mapping from strings i… (#2807)
* activations.py contains a mapping from string to activation function * resolves some `gelu` vs `gelu_new` ambiguity
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tests/test_activations.py
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28
tests/test_activations.py
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import unittest
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from transformers import is_torch_available
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from .utils import require_torch
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if is_torch_available():
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from transformers.activations import _gelu_python, get_activation, gelu_new
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import torch
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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("relu")
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get_activation("tanh")
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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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