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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_python, gelu_new, get_activation
@require_torch
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.eq(_gelu_python(x), torch_builtin(x)).all().item())
self.assertFalse(torch.eq(_gelu_python(x), gelu_new(x)).all().item())
def test_get_activation(self):
get_activation("swish")
get_activation("silu")
get_activation("relu")
get_activation("tanh")
get_activation("gelu_new")
get_activation("gelu_fast")
with self.assertRaises(KeyError):
get_activation("bogus")
with self.assertRaises(KeyError):
get_activation(None)
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