mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-13 09:40:06 +06:00
ef74b0f07a
* activations.py contains a mapping from string to activation function * resolves some `gelu` vs `gelu_new` ambiguity
29 lines
863 B
Python
29 lines
863 B
Python
import unittest
|
|
|
|
from transformers import is_torch_available
|
|
|
|
from .utils import require_torch
|
|
|
|
|
|
if is_torch_available():
|
|
from transformers.activations import _gelu_python, get_activation, gelu_new
|
|
import torch
|
|
|
|
|
|
@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("relu")
|
|
get_activation("tanh")
|
|
with self.assertRaises(KeyError):
|
|
get_activation("bogus")
|
|
with self.assertRaises(KeyError):
|
|
get_activation(None)
|