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tests / test_activations.py

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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)