File size: 805 Bytes
d487907 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 |
import pytest
import torch
from lm_eval.models.neuron_optimum import wrap_constant_batch_size
def test_wrap_constant_batch_size():
class Tester:
def __init__(self, batch_size):
self.batch_size = batch_size
@wrap_constant_batch_size
def test_constant_batch_size(self, inputs):
assert len(inputs) == self.batch_size
return inputs
batch_size_test = 8
for i in range(1, batch_size_test + 1):
tensor = torch.ones([i, 2, 2])
out = Tester(batch_size=batch_size_test).test_constant_batch_size(tensor)
torch.testing.assert_allclose(out, tensor)
with pytest.raises(ValueError):
Tester(batch_size=batch_size_test).test_constant_batch_size(
torch.ones([batch_size_test + 1, 2, 2])
)
|