[Test refactor 1/5] Per-folder tests reorganization (#15725)

* Per-folder tests reorganization

Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

tests/utils/test_activations_tf.py

@@ -0,0 +1,59 @@
+# 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
+
+import numpy as np
+
+from transformers import is_tf_available
+from transformers.testing_utils import require_tf
+
+
+if is_tf_available():
+    import tensorflow as tf
+
+    from transformers.activations_tf import get_tf_activation
+
+
+@require_tf
+class TestTFActivations(unittest.TestCase):
+    def test_gelu_10(self):
+        x = tf.constant([-100, -1.0, -0.1, 0, 0.1, 1.0, 100.0])
+        gelu = get_tf_activation("gelu")
+        gelu10 = get_tf_activation("gelu_10")
+
+        y_gelu = gelu(x)
+        y_gelu_10 = gelu10(x)
+
+        clipped_mask = tf.where(y_gelu_10 < 10.0, 1.0, 0.0)
+
+        self.assertEqual(tf.math.reduce_max(y_gelu_10).numpy().item(), 10.0)
+        self.assertTrue(np.allclose(y_gelu * clipped_mask, y_gelu_10 * clipped_mask))
+
+    def test_get_activation(self):
+        get_tf_activation("swish")
+        get_tf_activation("silu")
+        get_tf_activation("gelu")
+        get_tf_activation("relu")
+        get_tf_activation("tanh")
+        get_tf_activation("gelu_new")
+        get_tf_activation("gelu_fast")
+        get_tf_activation("gelu_10")
+        get_tf_activation("mish")
+        get_tf_activation("quick_gelu")
+        get_tf_activation("glu")
+        with self.assertRaises(KeyError):
+            get_tf_activation("bogus")
+        with self.assertRaises(KeyError):
+            get_tf_activation(None)