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https://github.com/huggingface/transformers.git
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00112c3539
* Replace swish with silu * revert nn.silu to nn.swish due to older version * simplify optimized silu conditional and fix format * Update activations.py * Update activations_tf.py * Update modeling_flax_utils.py * Update modeling_openai.py * add swish testcase * add pytorch swish testcase * Add more robust python version check * more formatting fixes Co-authored-by: TFUsers <TFUsers@gmail.com>
32 lines
985 B
Python
32 lines
985 B
Python
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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